<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>8843</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>32</pageNumber>
    <edition/>
    <issue/>
    <volume>9</volume>
    <type>article</type>
    <publisherName>Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation</title>
    <abstract language="deu">The Quantum Approximate Optimisation Algorithm (QAOA) is a widely studied quantum-classical iterative heuristic for combinatorial optimisation. While QAOA targets problems in complexity class NP, the classical optimisation procedure required in every iteration is itself known to be NP-hard. Still, advantage over classical approaches is suspected for certain scenarios, but nature and origin of its computational power are not yet satisfactorily understood.&#13;
By introducing means of efficiently and accurately approximating the QAOA optimisation landscape from solution space structures, we derive a new algorithmic variant of unit-depth QAOA for two-level Hamiltonians (including all problems in NP): Instead of performing an iterative quantum-classical computation for each input instance, our non-iterative method is based on a quantum circuit that is instance-independent, but problem-specific. It matches or outperforms unit-depth QAOA for key combinatorial problems, despite reduced computational effort.&#13;
Our approach is based on proving a long-standing conjecture regarding instance-independent structures in QAOA. By ensuring generality, we link existing empirical observations on QAOA parameter clustering to established approaches in theoretical computer science, and provide a sound foundation for understanding the link between structural properties of solution spaces and quantum optimisation.</abstract>
    <parentTitle language="deu">Quantum</parentTitle>
    <identifier type="doi">10.22331/q-2025-11-06-1903</identifier>
    <note>Die Preprint-Version ist ebenfalls in diesem Repositorium verzeichnet unter: https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/start/2/rows/10/sortfield/score/sortorder/desc/searchtype/simple/query/Out+of+the+Loop/docId/7938</note>
    <enrichment key="opus.import.date">2026-01-19T13:29:45+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Tom Krüger</author>
    <author>Wolfgang Mauerer</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="institutes" number="">Labor für Digitalisierung (LFD)</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8840</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>25</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>3</volume>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing</title>
    <abstract language="eng">Multiple-query optimization (MQO) seeks to reduce redundant work across query batches. While MQO offers opportunities for dramatic performance improvements, the problem is NP-hard, limiting the sizes of problems that can be solved on generic hardware. We propose to leverage specialized hardware solvers for optimization, such as Fujitsu's Digital Annealer (DA), to scale up MQO to problem sizes formerly out of reach.&#13;
We present a novel incremental processing approach that combines classical computation with DA acceleration. By efficiently partitioning MQO problems into sets of partial problems, and by applying a dynamic search steering strategy that reapplies initially discarded information to incrementally process individual problems, our method overcomes capacity limitations, and scales to extremely large MQO instances (up to νm1000 queries). A thorough and comprehensive empirical evaluation finds our method substantially outperforms existing approaches. Our generalisable framework lays the ground for other database use-cases on quantum-inspired hardware, and bridges towards future quantum accelerators.</abstract>
    <parentTitle language="eng">Proceedings of the ACM on Management of Data</parentTitle>
    <identifier type="doi">10.1145/3749171</identifier>
    <enrichment key="opus.import.date">2026-01-19T13:29:45+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Manuel Schönberger</author>
    <author>Immanuel Trummer</author>
    <author>Wolfgang Mauerer</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="institutes" number="">Labor für Digitalisierung (LFD)</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8789</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>9</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>New York, NY, USA</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Driving out the Bears from the Suburbs by Means of Location Theory and Intelligent Agents</title>
    <abstract language="eng">Due to the recent surge in bear attacks, affected municipalities have taken various measures to drive out the intruders. Political considerations include, in many places, the expansion of shooting permits. More and more regional governmental authorities invest in technologies for efficient bear hunting, such as IP cameras and computer vision. From an ecological perspective, such procedures, which are all solely aimed at decreasing the bear population, are questionable, since ecosystems can benefit from a peaceful coexistence of bears with humans: Bears remove animal carcasses and thus return vital nutrients to the soil and prevent the spread of diseases. Moreover, the bears keep the deer population in check, which is advantageous for the forest vegetation.&#13;
Conflicts start, once the bears intrude populated areas, which are often rural villages and suburbs with a low population density. Naturally, bears do not see humans as prey and respect their size. When the animal attacks, this happens rather for territorial or protective reasons, e. g., after an unexpected encounter with humans unsettled it. In this work, we analyze means to eradicate the danger: We dynamically apply Weiszfeld’s algorithm for finding the shifting geometric median between time-windowed black bear sightings and use the results for implementing an early warning system. In addition, we weigh the spotted locations and predict the expected migration behavior between bear habitats using a simulation with intelligent agents. As a case study, we apply our software to data from Romania and Fukushima and identify the positions where bear repelling facilities should be placed most effectively.</abstract>
    <parentTitle language="eng">Proceedings of the ACM 12th International Conference on Animal-Computer Interaction,  ACI 2025: The International Conference on Animal-Computer Interaction ; Indiana USA ; 01-04.12.2025</parentTitle>
    <identifier type="isbn">9798400721236</identifier>
    <identifier type="doi">10.1145/3768539.3768546</identifier>
    <enrichment key="opus.import.date">2026-01-12T13:37:27+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Jan Dünnweber</author>
    <author>Marcel Lorenz</author>
    <author>Fabian Bräu</author>
    <author>Hiroshi Saito</author>
    <author>Matthias Melzer</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="institutes" number="">Labor Parallele und Verteilte Systeme</collection>
    <collection role="funding" number="">ACM Publish&amp;Read-Vertrag</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8787</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>29</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>8</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Low-Current High-Voltage Pulsed Atmospheric Arc Plasma Jet: Nanoparticle Emission from the Cathodic Spot</title>
    <abstract language="eng">The atmospheric pressure plasma jet (APPJ) is a popular type of cold atmospheric plasma (CAP). APPJs based on a pulsed atmospheric arc (PAA) are widely spread in industrial processing. A plasma jet of this type, PlasmaBrush PB3 (PB3), is a subject of diverse research activities. The characteristic feature of PB3 is the generation of a low-current (300 mA), high-voltage (1500 V) pulsed (54 kHz) atmospheric arc. A gas flow vortex is used to stabilize the arc and to sustain the circular motion of the cathodic arc foot. During long periods of operation, nozzles acting as arc discharge cathodes erode. Part of the eroded material is emitted as nanoparticles (NPs). These NPs are not wanted in many processing applications. Knowledge of the number, type, and size distribution of emitted NPs is essential to minimize their emissions. In this study, NPs in the size range of 6 to 220 nm, emitted from four different nozzles operated with PB3, are investigated. The differences between the nozzles are in the eroded surface material (copper, tungsten, and nickel), the diameter of the nozzle orifice, the length of the discharge channel, and the position of the cathodic arc foot. Significant differences in the particle size distribution (PSD) and particle mass distribution (PMD) of emitted NPs are observed depending on the type and condition of the nozzle and their operating time. Monomodal and bimodal PMD models are used to approximate emissions from the nozzles with tungsten and copper cores, respectively. The skew-normal distribution function is deemed suitable. The results of this study can be used to control NP emissions, both to avoid them and to utilize them intentionally.</abstract>
    <parentTitle language="eng">Plasma</parentTitle>
    <identifier type="doi">10.3390/plasma8040044</identifier>
    <note>This article belongs to the Special Issue Feature Papers in Plasma Sciences 2025</note>
    <enrichment key="opus.import.date">2026-01-12T13:34:47+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Dariusz Korzec</author>
    <author>Florian Freund</author>
    <author>Isabelle Doelfs</author>
    <author>Florian Zacherl</author>
    <author>Lucas Kudala</author>
    <author>Hans-Peter Rabl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>arc discharge</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>atmospheric pressure plasma jet (APPJ)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cathode erosion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cathodic spot</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>electrode erosion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>low-current high-voltage pulsed atmospheric arc</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>nanoparticles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>particle mass distribution (PMD)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>particle number distribution (PND)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pulsed atmospheric arc (PAA)</value>
    </subject>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Nachhaltige Lebensräume</collection>
  </doc>
  <doc>
    <id>8782</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume>10</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Structural and functional evolution of HKUST-1 nanoparticles induced by ball milling</title>
    <abstract language="eng">In this study, the effect of post-synthetic ball milling on the structural and functional properties of as-synthesized nanoparticles of the copper-based metal-organic framework (MOF) HKUST-1 was investigated for the first time. Nanoparticles were synthesized using sodium formate as a capping agent. The crystalline particles were subjected to a controlled ball milling process, which induced significant structural changes. Powder X-ray diffraction (PXRD) revealed a reduction in crystallite size from 91 nm to 21 nm and the introduction of microstrain, partially disrupting the MOF's long-range crystalline order, as evidenced by peak broadening and the diminished intensity of high-angle reflections. Particle morphology pre- and post-milling was further studied with scanning electron microscopy (SEM) imaging, verifying a narrow particle size distribution of ± 22 nm after milling. Fourier-transform infrared spectroscopy (FTIR) indicated protonation of carboxylate groups in the larger pores of the framework, likely due to moisture incorporation during milling. Brunauer-Emmett-Teller (BET) surface area analysis showed a substantial decrease in specific surface area from 521 m²/g to 226 m²/g, suggesting a partial collapse of the porous framework. We discuss the applicability of ball milling as a versatile means of post-synthetic approach to reduce MOF particle sizes, a key element in the preparation of MOF-based thin films using inks or polymers.</abstract>
    <parentTitle language="eng">Next Materials</parentTitle>
    <identifier type="doi">10.1016/j.nxmate.2025.101544</identifier>
    <note>Corresponding author der OTH Regensburg: Alex Wolfgramm</note>
    <enrichment key="opus.import.date">2026-01-12T13:02:41+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="CorrespondingAuthor">Alex Wolfgramm</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Alex Wolfgramm</author>
    <author>Valerius Abb</author>
    <author>Artur Samp</author>
    <author>Rafal Samp</author>
    <author>Jens Christoph Hoffmann</author>
    <author>Rainer Müller</author>
    <author>Martin Kammler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ball milling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Copper-based metal-organic framework</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HKUST-1</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Nitrogen adsorption</value>
    </subject>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="institutes" number="">Labor Nanoanalytik und Halbleiterchemie (Nanochem)</collection>
    <collection role="funding" number="">DEAL Elsevier</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Materialien und Produktion</collection>
  </doc>
  <doc>
    <id>8786</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>95</pageFirst>
    <pageLast>101</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>25</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Wiesbaden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Experience Report: Hey LLM, Generate SQL!</title>
    <abstract language="eng">Large Language Models have advanced to a resourceful tool with many applications. One particularly interesting use case is the LLM-aided generation of ad-hoc database queries and the possibility of subsequent processing of the results in a way suiting the users intents. In this article, practical ways and experiences are described on how to effectively use LLMs to map a natural-language user query to an SQL query conforming to a specific database schema and post-processing the results of this query in order to, for example, create an appealing visualization. Best results are achieved under favorable circumstances, as, for example, a clean and meaningful named database schema.</abstract>
    <parentTitle language="eng">Datenbank-Spektrum</parentTitle>
    <identifier type="doi">10.1007/s13222-025-00512-w</identifier>
    <note>Corresponding author der OTH Regensburg: Florian Heinz</note>
    <enrichment key="opus.import.date">2026-01-12T13:34:47+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="CorrespondingAuthor">Florian Heinz</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Florian Heinz</author>
    <author>Johannes Schildgen</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="funding" number="">DEAL Springer Nature</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8758</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>565</pageFirst>
    <pageLast>576</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue/>
    <volume>43</volume>
    <type>conferenceobject</type>
    <publisherName>Polish Information Processing Society</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">From Agents to Copilots: a Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software</title>
    <abstract language="eng">This study provides a systematic review of how the impact and adaptation of digital assistant technologies (DATs) are defined, operationalized, and studied, synthesizing key domains where DATs generate or are expected to generate value. Based on an analysis of 61 articles published since 2013, it identifies five main areas of impact: productivity and efficiency, business development, resource optimization, quality enhancement, and the promotion of learning and creativity. The review highlights DAT adoption across various disciplines and industries, while revealing limited longitudinal research on benefits and adaptation. Key gaps remain in understanding strategic use and sustained impact. Future research should explore longitudinal comparisons of recently introduced generative AI-driven DATs and their organizational implications. This review contributes to information systems research by structuring current knowledge on DAT adoption and outcomes, and by proposing a research agenda to support deeper exploration of their value and long-term integration.</abstract>
    <parentTitle language="eng">Annals of Computer Science and Information Systems</parentTitle>
    <identifier type="issn">2300-5963</identifier>
    <identifier type="doi">10.15439/2025F3271</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:17:57Z","timestamp":1761175077326,"version":"build-2065373602"},"reference-count":89,"publisher":"Polish Information Processing Society","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.15439\/2025f3271","type":"proceedings-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:44:23Z","timestamp":1761119063000},"page":"565-576","source":"Crossref","is-referenced-by-count":0,"title":["From Agents to Copilots: A Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software"],"prefix":"10.15439","volume":"43","author":[{"given":"Niklas","family":"Prei\u00df","sequence":"first","affiliation":[{"name":"Preiss"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6623-880X","authenticated-orcid":true,"given":"Markus","family":"Westner","sequence":"additional","affiliation":[{"name":"OTH Regensburg"}]}],"member":"6175","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"N. Prei\u00df and M. Westner, \u2018Unraveling jingle-jangle fallacies in digital assistant technologies: A comprehensive systematic review and research agenda\u2019, in ICICT 2025: 10th International Congress on Information and Communication Technology, London, 2025.","DOI":"10.1007\/978-981-96-6438-2_15"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"P. Amiri and E. Karahanna, \u2018Chatbot use cases in the Covid-19 public health response\u2019, Journal of the American Medical Informatics Association, vol. 29, no. 5, pp. 1000\u20131010, 2022, https:\/\/dx.doi.org\/10.1093\/jamia\/ocac014.","DOI":"10.1093\/jamia\/ocac014"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"M. McKillop, B. R. South, A. Preininger, M. Mason, and G. P. Jackson, \u2018Leveraging conversational technology to answer common COVID-19 questions\u2019, Journal of the American Medical Informatics Association, vol. 28, no. 4, pp. 850\u2013855, 2021, https:\/\/dx.doi.org\/10.1093\/jamia\/ocaa316.","DOI":"10.1093\/jamia\/ocaa316"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"H. Al Naqbi, Z. Bahroun, and V. Ahmed, \u2018Enhancing work productivity through generative artificial intelligence: A comprehensive literature review\u2019, Sustainability, vol. 16, no. 3, Art. no. 3, Jan. 2024, https:\/\/dx.doi.org\/10.3390\/su16031166.","DOI":"10.3390\/su16031166"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"D. Czarnitzki, G. P. Fern\u00e1ndez, and C. Rammer, \u2018Artificial intelligence and firm-level productivity\u2019, Journal of Economic Behavior &amp; Organization, vol. 211, pp. 188\u2013205, 2023, https:\/\/dx.doi.org\/10.1016\/j.jebo.2023.05.008.","DOI":"10.1016\/j.jebo.2023.05.008"},{"key":"ref6","unstructured":"Google, \u2018Introducing Gemini: our largest and most capable AI model\u2019, Google. Accessed: Aug. 21, 2024. [Online]. Available: https:\/\/blog.google\/technology\/ai\/google-gemini-ai\/"},{"key":"ref7","unstructured":"Microsoft Corporation, \u2018Introducing Microsoft 365 Copilot: your copilot for work\u2019. Accessed: Sep. 07, 2024. [Online]. Available: https:\/\/blogs.microsoft.com\/blog\/2023\/03\/16\/introducing-microsoft-365-copilot-your-copilot-for-work"},{"key":"ref8","unstructured":"L. S. Vailshery, \u2018Office productivity software global market share 2025\u2019, Statista. Accessed: Apr. 24, 2025. [Online]. Available: https:\/\/www.statista.com\/statistics\/983299\/worldwide-market-share-of-office-productivity-software\/"},{"key":"ref9","unstructured":"J. D\u2019Souza, \u2018Microsoft 365 Statistics By Downloads, Subscribers, Revenue and Facts\u2019, Electro IQ. Accessed: Apr. 24, 2025. [Online]. Available: https:\/\/electroiq.com\/stats\/microsoft-365-statistics\/"},{"key":"ref10","unstructured":"M. McDade, \u2018Microsoft 365 Usage and Security Statistics for 2025\u2019, Expert Insights. Accessed: Apr. 24, 2025. [Online]. Available: https:\/\/expertinsights.com\/email-security\/microsoft-365-usage-and-security-statistics-for-2024"},{"key":"ref11","doi-asserted-by":"publisher","unstructured":"D. Darwish, \u2018Chatbots vs. AI chatbots vs. virtual assistants\u2019:, in Advances in Computational Intelligence and Robotics, D. Darwish, Ed., IGI Global, 2024, pp. 26\u201350. https:\/\/dx.doi.org\/10.4018\/979-8-3693-1830-0.ch002.","DOI":"10.4018\/979-8-3693-1830-0.ch002"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"P. Prei\u00df and M. Westner, \u2018Towards a taxonomy for digital assistant  technologies: Addressing the jingle-jangle fallacies\u2019, in Proceedings of the 38th Bled eConference, 2025.","DOI":"10.18690\/um.fov.4.2025.1"},{"key":"ref13","unstructured":"J. Uszkoreit, \u2018Transformer: A novel neural network architecture for language understanding\u2019, 2017, [Online]. Available: https:\/\/blog.research.google\/2017\/08\/transformer-novel-neural-network.html"},{"key":"ref14","doi-asserted-by":"publisher","unstructured":"E. Han, D. Yin, and H. Zhang, \u2018Bots with feelings: Should AI agents express positive emotion in customer service?\u2019, Information Systems Research, vol. 34, no. 3, pp. 1296\u20131311, 2023, https:\/\/dx.doi.org\/10.1287\/ISRE.2022.1179.","DOI":"10.1287\/ISRE.2022.1179"},{"key":"ref15","doi-asserted-by":"publisher","unstructured":"T. Li, X. Zhang, Y. Wang, Q. Zhou, Y. Wang, and F. Dong, \u2018Machine learning for requirements engineering (ML4RE): A systematic literature review complemented by practitioners\u2019 voices from Stack Overflow\u2019, Information and Software Technology, vol. 172, 2024, https:\/\/dx.doi.org\/10.1016\/j.infsof.2024.107477.","DOI":"10.1016\/j.infsof.2024.107477"},{"key":"ref16","doi-asserted-by":"publisher","unstructured":"E. Brynjolfsson, D. Li, and L. Raymond, \u2018Generative AI at work\u2019, The Quarterly Journal of Economics, no. 140, pp. 889\u2013942, 2023, https:\/\/dx.doi.org\/10.3386\/w31161.","DOI":"10.3386\/w31161"},{"key":"ref17","doi-asserted-by":"publisher","unstructured":"S. Hazmoune and F. Bougamouza, \u2018Using transformers for multimodal emotion recognition: Taxonomies and state of the art review\u2019, Engineering Applications of Artificial Intelligence, vol. 133, no. 6, pp. 107\u2013113, Jul. 2024, https:\/\/dx.doi.org\/10.1016\/j.engappai.2024.108339.","DOI":"10.1016\/j.engappai.2024.108339"},{"key":"ref18","unstructured":"OpenAI, \u2018Introducing ChatGPT\u2019. Accessed: Aug. 07, 2024. [Online]. Available: https:\/\/openai.com\/index\/chatgpt\/"},{"key":"ref19","doi-asserted-by":"publisher","unstructured":"T. Vaikunta Pai, P. S. Nethravathi, R. Birau, V. Popescu, B. H. Karthik Pai, and P. V. Naik, \u2018Multimodal ChatGPT: Extending ChatGPT to enable rich multimodal conversations using deep neural network\u2019, Journal of Intelligent &amp; Fuzzy Systems, vol. Preprint, no. Preprint, pp. 1\u201317, 2024, https:\/\/dx.doi.org\/10.3233\/JIFS-239465.","DOI":"10.3233\/JIFS-239465"},{"key":"ref20","doi-asserted-by":"publisher","unstructured":"L. Gkinko and A. Elbanna, \u2018Chatbots at work: A taxonomy of the use of chatbots in the workplace\u2019, in Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, D. Dennehy, A. Griva, N. Pouloudi, Y. K. Dwivedi, I. Pappas, and M. M\u00e4ntym\u00e4ki, Eds., Cham: Springer International Publishing, 2021, pp. 29\u201339. https:\/\/dx.doi.org\/10.1007\/978-3-030-85447-8_3.","DOI":"10.1007\/978-3-030-85447-8_3"},{"key":"ref21","doi-asserted-by":"publisher","unstructured":"Y. Gao, H. Rui, and S. Sun, \u2018The power of identity cues in text-based customer service: Evidence from Twitter\u2019, MIS Quarterly, vol. 47, no. 3, pp. 983\u20131014, 2023, https:\/\/dx.doi.org\/10.25300\/MISQ\/2022\/17366.","DOI":"10.25300\/MISQ\/2022\/17366"},{"key":"ref22","unstructured":"L. R. Anderson and S. Conyers, \u2018Freeware versus commercial office productivity software\u2019, Acquisition Research Program, Technical Report, Dec. 2016. Accessed: Jan. 11, 2025. [Online]. Available: https:\/\/dair.nps.edu\/handle\/123456789\/2191"},{"key":"ref23","doi-asserted-by":"publisher","unstructured":"M. Keith, R. Santanam, and R. Sinha, \u2018Switching costs, satisfaction, loyalty, and willingness to pay for office productivity software\u2019, in 2010 43rd Hawaii International Conference on System Sciences, Jan. 2010, pp. 1\u20139. https:\/\/dx.doi.org\/10.1109\/HICSS.2010.359.","DOI":"10.1109\/HICSS.2010.359"},{"key":"ref24","doi-asserted-by":"publisher","unstructured":"N. Gandal, S. Markovich, and M. H. Riordan, \u2018Ain\u2019t it \u201csuite\u201d? Bundling in the PC office software market\u2019, Strategic Management Journal, vol. 39, no. 8, pp. 2120\u20132151, Aug. 2018, https:\/\/dx.doi.org\/10.1002\/smj.2797.","DOI":"10.1002\/smj.2797"},{"key":"ref25","doi-asserted-by":"publisher","unstructured":"D. Tapscott, \u2018Office efficiency, effectiveness, and productivity\u2019, in Office Automation: A User-Driven Method, D. Tapscott, Ed., Boston, MA: Springer US, 1982, pp. 71\u201379. https:\/\/dx.doi.org\/10.1007\/978-1-4613-2489-8_5.","DOI":"10.1007\/978-1-4613-2489-8_5"},{"key":"ref26","unstructured":"K. Koenigsbauer, \u2018Microsoft 365 Copilot Chat\u2019, techcommunity.microsoft.com. Accessed: Mar. 15, 2025. [Online]. Available: https:\/\/techcommunity.microsoft.com\/blog\/microsoft365copilotblog\/microsoft-365-copilot-chat-%e2%80%93-copilot-for-all-your-employees\/4392002"},{"key":"ref27","doi-asserted-by":"publisher","unstructured":"H. Snyder, \u2018Literature review as a research methodology: An overview and guidelines\u2019, Journal of Business Research, vol. 104, pp. 333\u2013339, Nov. 2019, https:\/\/dx.doi.org\/10.1016\/j.jbusres.2019.07.039.","DOI":"10.1016\/j.jbusres.2019.07.039"},{"key":"ref28","doi-asserted-by":"publisher","unstructured":"D. Tranfield, D. Denyer, and P. Smart, \u2018Towards a methodology for developing evidence-informed management knowledge by means of systematic review\u2019, British Journal of Management, vol. 14, no. 3, pp. 207\u2013222, 2003, https:\/\/dx.doi.org\/10.1111\/1467-8551.00375.","DOI":"10.1111\/1467-8551.00375"},{"key":"ref29","doi-asserted-by":"publisher","unstructured":"R. F. Baumeister and M. R. Leary, \u2018Writing narrative literature reviews\u2019, Review of General Psychology, vol. 3, no. 1, pp. 311\u2013320, 1997, https:\/\/dx.doi.org\/10.1037\/1089-2680.1.3.311.","DOI":"10.1037\/1089-2680.1.3.311"},{"key":"ref30","doi-asserted-by":"publisher","unstructured":"B. Kitchenham and S. Charters, \u2018Guidelines for performing systematic literature reviews in software engineering\u2019, vol. 2, Jan. 2007, https:\/\/doi.org\/10.53832\/edtechhub.1003.","DOI":"10.53832\/edtechhub.1003"},{"key":"ref31","doi-asserted-by":"publisher","unstructured":"D. Moher, A. Liberati, J. Tetzlaff, and D. G. Altman, \u2018Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement\u2019, International Journal of Surgery, vol. 8, no. 5, pp. 336\u2013341, Jan. 2010, https:\/\/dx.doi.org\/10.1016\/j.ijsu.2010.02.007.","DOI":"10.1016\/j.ijsu.2010.02.007"},{"key":"ref32","doi-asserted-by":"publisher","unstructured":"B. M. Shrestha, \u2018Systematic reviews and meta-analysis: Principles and practice\u2019, JNMA J Nepal Med Assoc, vol. 57, no. 215, pp. 1\u20132, Feb. 2019, https:\/\/dx.doi.org\/10.31729\/jnma.3986.","DOI":"10.31729\/jnma.3986"},{"key":"ref33","doi-asserted-by":"publisher","unstructured":"F. Tingelhoff, M. Brugger, and J. M. Leimeister, \u2018A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligence\u2019, Journal of Information Technology, vol. 40, no. 1, pp. 77\u201399, Mar. 2025, https:\/\/dx.doi.org\/10.1177\/02683962241304105.","DOI":"10.1177\/02683962241304105"},{"key":"ref34","doi-asserted-by":"publisher","unstructured":"J. Wolfswinkel, E. Furtmueller, and C. Wilderom, \u2018Using grounded theory as a method for rigorously reviewing literature\u2019, European Journal of Information Systems, vol. 22, pp. 1\u201311, Nov. 2013, https:\/\/dx.doi.org\/10.1057\/ejis.2011.51.","DOI":"10.1057\/ejis.2011.51"},{"key":"ref35","doi-asserted-by":"crossref","unstructured":"C. Hart, Doing a Literature Review: Releasing the Research Imagination, 2nd ed. Sage, 2018.","DOI":"10.53841\/bpscog.2019.1.4.57"},{"key":"ref36","doi-asserted-by":"publisher","unstructured":"O. Al-Tabbaa, S. Ankrah, and N. Zahoor, Systematic literature review in management and business studies: A case study on university-industry collaboration. 2019. https:\/\/dx.doi.org\/10.4135\/9781526467263.","DOI":"10.4135\/9781526467263"},{"key":"ref37","unstructured":"J. Webster and R. T. Watson, \u2018Analyzing the past to prepare for the future: Writing a literature review\u2019, MIS Quarterly, vol. 26, no. 2, pp. 8\u201313, 2002."},{"key":"ref38","doi-asserted-by":"publisher","unstructured":"B. Gonz\u00e1lez-Albo and M. Bordons, \u2018Articles vs. proceedings papers: Do they differ in research relevance and impact? A case study in the Library and Information Science field\u2019, Journal of Informetrics, vol. 5, no. 3, pp. 369\u2013381, Jul. 2011, https:\/\/dx.doi.org\/10.1016\/j.joi.2011.01.011.","DOI":"10.1016\/j.joi.2011.01.011"},{"key":"ref39","unstructured":"S. Boell and B. Wang, \u2018www.litbaskets.io, an it artifact supporting exploratory literature searches for information systems research\u2019, presented at the ACIS 2019 Proceedings. 71, Dec. 2019. [Online]. Available: https:\/\/aisel.aisnet.org\/acis2019\/71"},{"key":"ref40","unstructured":"Scopus, \u2018Scopus | The largest database of peer-reviewed literature | Elsevier\u2019. Accessed: Aug. 05, 2024. [Online]. Available: https:\/\/elsevier.international\/en-in\/solutions\/scopus.html"},{"key":"ref41","doi-asserted-by":"publisher","unstructured":"R. D. Jong and D. Bus, \u2018VOSviewer: putting research into context\u2019, Research Software Community Leiden, Mar. 2023, https:\/\/dx.doi.org\/10.21428\/a1847950.acdc99d6.","DOI":"10.21428\/a1847950.acdc99d6"},{"key":"ref42","unstructured":"R. Kumar, Research methodology\u202f: A step-by-step guide for beginners, 5th ed., vol. 5. in 5, vol. 5. Los Angeles\u202f: Sage, 2014."},{"key":"ref43","doi-asserted-by":"publisher","unstructured":"D. Rooein, D. Bianchini, F. Leotta, M. Mecella, P. Paolini, and B. Pernici, \u2018aCHAT-WF: Generating conversational agents for teaching business process models\u2019, Software and Systems Modeling, vol. 21, no. 3, pp. 891\u2013914, 2022, https:\/\/dx.doi.org\/10.1007\/s10270-021-00925-7.","DOI":"10.1007\/s10270-021-00925-7"},{"key":"ref44","doi-asserted-by":"publisher","unstructured":"D. Rooein, D. Bianchini, F. Leotta, M. Mecella, P. Paolini, and B. Pernici, \u2018Chatting about processes in digital factories: A model-based approach\u2019, presented at the Lecture Notes in Business Information Processing, Nurcan S., Reinhartz-Berger I., Soffer P., and Zdravkovic J., Eds., Springer, 2020, pp. 70\u201384. https:\/\/dx.doi.org\/10.1007\/978-3-030-49418-6_5.","DOI":"10.1007\/978-3-030-49418-6_5"},{"key":"ref45","doi-asserted-by":"publisher","unstructured":"F. De Luzi, M. Macr\u00ec, M. Mecella, and T. Mencattini, \u2018Cicero: An AI-Based Writing Assistant for\u00a0Legal Users\u2019, presented at the Lecture Notes in Business Information Processing, Cabanillas C. and P\u00e9rez F., Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 103\u2013111. https:\/\/dx.doi.org\/10.1007\/978-3-031-34674-3_13.","DOI":"10.1007\/978-3-031-34674-3_13"},{"key":"ref46","doi-asserted-by":"publisher","unstructured":"H. W. Marsh et al., \u2018The murky distinction between self-concept and self-efficacy: Beware of lurking jingle-jangle fallacies.\u2019, Journal of Educational Psychology, vol. 111, no. 2, pp. 331\u2013353, Feb. 2019, https:\/\/dx.doi.org\/10.1037\/edu0000281.","DOI":"10.1037\/edu0000281"},{"key":"ref47","unstructured":"J. Creswell, Research design: Qualitative, quantitative, and mixed methods approaches, vol. 4th. SAGE Publications, 2014. Accessed: Aug. 20, 2024. [Online]. Available: http:\/\/archive.org\/details\/methodology-alobatnic-libraries-creswell"},{"key":"ref48","doi-asserted-by":"publisher","unstructured":"A. Rindfleisch, A. J. Malter, S. Ganesan, and C. Moorman, \u2018Cross-sectional versus longitudinal survey research: Concepts, findings, and guidelines\u2019, Journal of Marketing Research, vol. 45, no. 3, pp. 261\u2013279, Jun. 2008, https:\/\/dx.doi.org\/10.1509\/jmkr.45.3.261.","DOI":"10.1509\/jmkr.45.3.261"},{"key":"ref49","doi-asserted-by":"publisher","unstructured":"M. E. Koltko-Rivera, \u2018The Psychology of Worldviews\u2019, Review of General Psychology, vol. 8, no. 1, pp. 3\u201358, 2004, https:\/\/dx.doi.org\/10.1037\/1089-2680.8.1.3.","DOI":"10.1037\/1089-2680.8.1.3"},{"key":"ref50","doi-asserted-by":"publisher","unstructured":"P. Johnson and J. Duberley, Understanding management research: An introduction to epistemology, 1st ed., vol. 1. Sage Publications Ltd, 2000. https:\/\/dx.doi.org\/10.4135\/9780857020185.","DOI":"10.4135\/9780857020185"},{"key":"ref51","doi-asserted-by":"publisher","unstructured":"C. A. Saliya, \u2018Research philosophy: paradigms, world views, perspectives, and theories\u2019, 2023, pp. 35\u201351. https:\/\/dx.doi.org\/10.4018\/978-1-6684-6859-3.ch004.","DOI":"10.4018\/978-1-6684-6859-3.ch004"},{"key":"ref52","doi-asserted-by":"publisher","unstructured":"A. VanScoy, H. Julien, A. Buckley, and J. Goodell, \u2018Theory usage in empirical research in ISIC conference papers (1996-2020)\u2019, Sep. 2022, https:\/\/dx.doi.org\/10.18452\/25229.","DOI":"10.18452\/25229"},{"key":"ref53","doi-asserted-by":"publisher","unstructured":"O. Boubker, \u2018From chatting to self-educating: Can AI tools boost student learning outcomes?\u2019, Expert Systems with Applications, vol. 238, 2024, https:\/\/dx.doi.org\/10.1016\/j.eswa.2023.121820.","DOI":"10.1016\/j.eswa.2023.121820"},{"key":"ref54","doi-asserted-by":"publisher","unstructured":"F. Brachten, T. Kissmer, and S. Stieglitz, \u2018The acceptance of chatbots in an enterprise context \u2013 A survey study\u2019, International Journal of Information Management, vol. 60, 2021, https:\/\/dx.doi.org\/10.1016\/j.ijinfomgt.2021.102375.","DOI":"10.1016\/j.ijinfomgt.2021.102375"},{"key":"ref55","doi-asserted-by":"publisher","unstructured":"J. Zhang, X. Lu, W. Zheng, and X. Wang, \u2018It\u2019s better than nothing: The influence of service failures on user reusage intention in AI chatbot\u2019, Electronic Commerce Research and Applications, vol. 67, 2024, https:\/\/dx.doi.org\/10.1016\/j.elerap.2024.101421.","DOI":"10.1016\/j.elerap.2024.101421"},{"key":"ref56","unstructured":"D. Kudryavtsev, \u2018AI-driven digital business design assistant: A prototype demo\u2019, presented at the CEUR Workshop Proceedings, CEUR-WS, 2024."},{"key":"ref57","doi-asserted-by":"publisher","unstructured":"F. Rowe, \u2018What literature review is not: diversity, boundaries and recommendations\u2019, Eur J Inf Syst, vol. 23, no. 3, pp. 241\u2013255, May 2014, https:\/\/dx.doi.org\/10.1057\/ejis.2014.7.","DOI":"10.1057\/ejis.2014.7"},{"key":"ref58","doi-asserted-by":"publisher","unstructured":"S. Haag and A. Eckhardt, \u2018Organizational cloud service adoption: a scientometric and content-based literature analysis\u2019, J Bus Econ, vol. 84, no. 3, pp. 407\u2013440, Apr. 2014, https:\/\/dx.doi.org\/10.1007\/s11573-014-0716-6.","DOI":"10.1007\/s11573-014-0716-6"},{"key":"ref59","unstructured":"W. L. Neuman, Social research methods: Qualitative and quantitative approaches, 7th ed. Pearson Education, 2002."},{"key":"ref60","unstructured":"D. Dennehy, \u2018The use of open, axial and selective coding echniques: A literature analysis of IS research\u2019, in Academy for Information Systems Conference Proceedings 2023, 2023. [Online]. Available: https:\/\/aisel.aisnet.org\/ukais2023\/20"},{"key":"ref61","doi-asserted-by":"publisher","unstructured":"T. I. Wilhelm, J. Roos, and R. Kaczmarczyk, \u2018Large language models for therapy recommendations across 3 clinical specialties: Comparative study\u2019, Journal of Medical Internet Research, vol. 25, 2023, https:\/\/dx.doi.org\/10.2196\/49324.","DOI":"10.2196\/49324"},{"key":"ref62","doi-asserted-by":"publisher","unstructured":"F. M. Calisto, C. Santiago, N. Nunes, and J. C. Nascimento, \u2018Bots with feelings: Should AI agents express positive emotion in customer service\u2019, International Journal of Human Computer Studies, vol. 150, pp. 1\u201324, 2021, https:\/\/dx.doi.org\/10.1016\/j.ijhcs.2021.102607.","DOI":"10.1016\/j.ijhcs.2021.102607"},{"key":"ref63","doi-asserted-by":"publisher","unstructured":"N. Belhaj, A. Hamdane, N. El Houda Chaoui, H. Chaoui, and M. El Bekkali, \u2018Engaging students to fill surveys using chatbots: University case study\u2019, Indonesian Journal of Electrical Engineering and Computer Science, vol. 24, no. 1, pp. 473\u2013483, 2021, https:\/\/dx.doi.org\/10.11591\/ijeecs.v24.i1.pp473-483.","DOI":"10.11591\/ijeecs.v24.i1.pp473-483"},{"key":"ref64","doi-asserted-by":"publisher","unstructured":"T. Lewandowski, E. Ku\u010devi\u0107, S. Leible, M. Poser, and T. B\u00f6hmann, \u2018Enhancing conversational agents for successful operation: A multi-perspective evaluation approach for continuous improvement\u2019, Electronic Markets, vol. 33, no. 1, pp. 1\u201320, 2023, https:\/\/dx.doi.org\/10.1007\/s12525-023-00662-3.","DOI":"10.1007\/s12525-023-00662-3"},{"key":"ref65","doi-asserted-by":"publisher","unstructured":"F. Almeida, \u2018Implementation of a chatbot in a unified communication channel\u2019, Journal of Systems and Information Technology, vol. 27, no. 1, pp. 94\u2013115, 2025, https:\/\/dx.doi.org\/10.1108\/JSIT-08-2023-0160.","DOI":"10.1108\/JSIT-08-2023-0160"},{"key":"ref66","doi-asserted-by":"crossref","unstructured":"S. Jackson and N. Panteli, \u2018AI-based digital assistants in the workplace: An idiomatic analysis\u2019, Communications of the Association for Information Systems, vol. 55, pp. 627\u2013653, 2024.","DOI":"10.17705\/1CAIS.05524"},{"key":"ref67","unstructured":"E. Brynjolfsson and A. McAfee, \u2018Winning the race with ever-smarter machines\u2019, MIT SMR, no. 53, pp. 53\u201360, Dec. 2011."},{"key":"ref68","doi-asserted-by":"publisher","unstructured":"B. Zhong, W. He, Z. Huang, P. E. D. Love, J. Tang, and H. Luo, \u2018A building regulation question answering system: A deep learning methodology\u2019, Advanced Engineering Informatics, vol. 46, pp. 1\u201311, 2020, https:\/\/dx.doi.org\/10.1016\/j.aei.2020.101195.","DOI":"10.1016\/j.aei.2020.101195"},{"key":"ref69","doi-asserted-by":"publisher","unstructured":"M. Nadeem, L. Javed, S. S. Sohail, E. Cambria, and A. Hussain, \u2018Are foundation models the next-generation social media content moderators?\u2019, IEEE Intelligent Systems, vol. 39, no. 6, pp. 70\u201380, 2024, https:\/\/dx.doi.org\/10.1109\/MIS.2024.3477109.","DOI":"10.1109\/MIS.2024.3477109"},{"key":"ref70","doi-asserted-by":"publisher","unstructured":"J. Choi and D. L. Nazareth, \u2018Repairing trust in an e-commerce and security context: An agent-based modeling approach\u2019, Information Management and Computer Security, vol. 22, no. 5, pp. 490\u2013512, 2014, https:\/\/dx.doi.org\/10.1108\/IMCS-09-2013-0069.","DOI":"10.1108\/IMCS-09-2013-0069"},{"key":"ref71","doi-asserted-by":"publisher","unstructured":"G. Graham, T. M. Nisar, G. Prabhakar, R. Meriton, and S. Malik, \u2018Chatbots in customer service within banking and finance: Do chatbots herald the start of an AI revolution in the corporate world?\u2019, Computers in Human Behavior, vol. 165, pp. 1\u201315, 2025, https:\/\/dx.doi.org\/10.1016\/j.chb.2025.108570.","DOI":"10.1016\/j.chb.2025.108570"},{"key":"ref72","doi-asserted-by":"publisher","unstructured":"J. J. Bird and A. Lotfi, \u2018Customer service chatbot enhancement with attention-based transfer learning\u2019, Knowledge-Based Systems, vol. 301, pp. 1\u201312, 2024, https:\/\/dx.doi.org\/10.1016\/j.knosys.2024.112293.","DOI":"10.1016\/j.knosys.2024.112293"},{"key":"ref73","doi-asserted-by":"publisher","unstructured":"Y. Zhang, C. Liang, and X. Li, \u2018Understanding virtual agents\u2019 service quality in the context of customer service: A fit-viability perspective\u2019, Electronic Commerce Research and Applications, vol. 65, pp. 1\u201312, 2024, https:\/\/dx.doi.org\/10.1016\/j.elerap.2024.101380.","DOI":"10.1016\/j.elerap.2024.101380"},{"key":"ref74","doi-asserted-by":"publisher","unstructured":"N. K\u00f6ster, C. Mundt, and H. L\u00f6dding, \u2018Planning and control of maritime commissioning: planning concept\u2019, presented at the IFIP Advances in Information and Communication Technology, Alfnes E., Romsdal A., Strandhagen J.O., von Cieminski G., and Romero D., Eds., 2023, pp. 735\u2013749. https:\/\/dx.doi.org\/10.1007\/978-3-031-43670-3_51.","DOI":"10.1007\/978-3-031-43670-3_51"},{"key":"ref75","doi-asserted-by":"publisher","unstructured":"Q. Chen, Y. Lu, Y. Gong, and J. Xiong, \u2018Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty\u2019, Internet Research, vol. 33, no. 6, pp. 2205\u20132243, 2023, https:\/\/dx.doi.org\/10.1108\/INTR-09-2021-0686.","DOI":"10.1108\/INTR-09-2021-0686"},{"key":"ref76","doi-asserted-by":"publisher","unstructured":"S. W. Chae, Y. W. Seo, and K. C. Lee, \u2018Task difficulty and team diversity on team creativity: Multi-agent simulation approach\u2019, Computers in Human Behavior, vol. 42, pp. 83\u201392, 2015, https:\/\/dx.doi.org\/10.1016\/j.chb.2014.03.032.","DOI":"10.1016\/j.chb.2014.03.032"},{"key":"ref77","doi-asserted-by":"publisher","unstructured":"P. Mikalef and M. Gupta, \u2018Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance\u2019, Inf. Manage., vol. 58, no. 3, pp. 1\u201320, Apr. 2021, https:\/\/dx.doi.org\/10.1016\/j.im.2021.103434.","DOI":"10.1016\/j.im.2021.103434"},{"key":"ref78","doi-asserted-by":"publisher","unstructured":"R. Abdelghani, P.-Y. Oudeyer, E. Law, C. de Vulpilli\u00e8res, and H. Sauz\u00e9on, \u2018Conversational agents for fostering curiosity-driven learning in children\u2019, International Journal of Human Computer Studies, vol. 167, pp. 1\u201321, 2022, https:\/\/dx.doi.org\/10.1016\/j.ijhcs.2022.102887.","DOI":"10.1016\/j.ijhcs.2022.102887"},{"key":"ref79","doi-asserted-by":"publisher","unstructured":"X. Lin, X. Wang, B. Shao, and J. Taylor, \u2018How chatbots augment human intelligence in customer services: A mixed-methods study\u2019, Journal of Management Information Systems, vol. 41, no. 4, pp. 1016\u20131041, 2024, https:\/\/dx.doi.org\/10.1080\/07421222.2024.2415773.","DOI":"10.1080\/07421222.2024.2415773"},{"key":"ref80","doi-asserted-by":"publisher","unstructured":"S.-L. Cheng et al., \u2018Comparisons of quality, correctness, and similarity between ChatGPT-generated and human-written abstracts for basic research: Cross-sectional study\u2019, Journal of Medical Internet Research, vol. 25, no. 1, pp. 1\u20139, 2023, https:\/\/dx.doi.org\/10.2196\/51229.","DOI":"10.2196\/51229"},{"key":"ref81","doi-asserted-by":"publisher","unstructured":"L. Willcocks, M. Lacity, and A. Craig, \u2018Robotic process automation: Strategic transformation lever for global business services?\u2019, Journal of Information Technology Teaching Cases, vol. 7, no. 1, pp. 17\u201328, May 2017, https:\/\/dx.doi.org\/10.1057\/s41266-016-0016-9.","DOI":"10.1057\/s41266-016-0016-9"},{"key":"ref82","unstructured":"R. Figli\u00e8, T. Turchi, G. Baldi, and D. Mazzei, \u2018Towards an LLM-based intelligent assistant for industry 5.0\u2019, presented at the CEUR Workshop Proceedings, Dix A., Roach M., Turchi T., Malizia A., and Wilson B., Eds., CEUR-WS, 2024."},{"key":"ref83","doi-asserted-by":"publisher","unstructured":"Z. Eberhart, A. Bansal, and C. McMillan, \u2018A Wizard of Oz Study Simulating API Usage Dialogues With a Virtual Assistant\u2019, IEEE Transactions on Software Engineering, vol. 48, no. 6, pp. 1883\u20131904, 2022, https:\/\/dx.doi.org\/10.1109\/TSE.2020.3040935.","DOI":"10.1109\/TSE.2020.3040935"},{"key":"ref84","doi-asserted-by":"publisher","unstructured":"N. Ben-Shabat et al., \u2018Assessing data gathering of chatbot based symptom checkers - a clinical vignettes study\u2019, International Journal of Medical Informatics, vol. 168, 2022, https:\/\/dx.doi.org\/10.1016\/j.ijmedinf.2022.104897.","DOI":"10.1016\/j.ijmedinf.2022.104897"},{"key":"ref85","unstructured":"A. Siddig and A. Hines, \u2018A psychologist chatbot developing experience\u2019, presented at the CEUR Workshop Proceedings, Curry E., Keane M., Ojo A., and Salwala D., Eds., CEUR-WS, 2019, pp. 200\u2013211."},{"key":"ref86","doi-asserted-by":"publisher","unstructured":"C. Wang et al., \u2018Application of large language models in medical training evaluation\u2014Using ChatGPT as a standardized patient: multimetric assessment\u2019, Journal of Medical Internet Research, vol. 27, pp. 1\u201315, 2025, https:\/\/dx.doi.org\/10.2196\/59435.","DOI":"10.2196\/59435"},{"key":"ref87","doi-asserted-by":"publisher","unstructured":"S. Gregor, \u2018The nature of theory in information systems\u2019, MIS Quarterly, vol. 30, no. 3, pp. 611\u2013642, 2006, https:\/\/dx.doi.org\/10.2307\/25148742.","DOI":"10.2307\/25148742"},{"key":"ref88","unstructured":"K. Larsen, N. Saini, and R. Mueller, \u2018Theories used in IS research wiki\u2019, Information Systems Theories. Accessed: Mar. 31, 2025. [Online]. Available: https:\/\/is.theorizeit.org\/wiki\/Main_Page"},{"key":"ref89","doi-asserted-by":"publisher","unstructured":"J. Reis, M. Amorim, N. Mel\u00e3o, Y. Cohen, and M. Rodrigues, \u2018Digitalization: A literature review and research agenda\u2019, in Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management - IJCIEOM 2019, Z. Anisic, B. Lalic, and D. Gracanin, Eds., Cham: Springer International Publishing, 2020, pp. 443\u2013456. https:\/\/doi.org\/10.1007\/978-3-030-43616-2_47.","DOI":"10.1007\/978-3-030-43616-2_47"}],"event":{"name":"20th Conference on Computer Science and Intelligence Systems (FedCSIS)","theme":"Computer Science and Intelligence Systems","location":"Krak\u00f3w, Poland","acronym":"FedCSIS","number":"20","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["Annals of Computer Science and Information Systems","Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)"],"original-title":[],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:49:34Z","timestamp":1761119374000},"score":1,"resource":{"primary":{"URL":"https:\/\/annals-csis.org\/Volume_43\/drp\/3271.html"}},"subtitle":[],"proceedings-subject":"Computer Science and Information Systems","short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":89,"URL":"https:\/\/doi.org\/10.15439\/2025f3271","relation":{},"ISSN":["2300-5963"],"issn-type":[{"value":"2300-5963","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}</enrichment>
    <enrichment key="local_crossrefDocumentType">proceedings-article</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,Enrichmentconference_title,Enrichmentconference_place,PublisherName,TitleMain_1,TitleParent_1,PageNumber,PageFirst,PageLast,Volume,CompletedYear,IdentifierIssn</enrichment>
    <enrichment key="ConferenceStatement">20th Conference on Computer Science and Intelligence Systems (FedCSIS), 14-17. September 2025,Kraków, Poland</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Niklas Preiß</author>
    <author>Markus Westner</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Digital Assistant Technology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Copilot</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Generative AI</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Technology Adoption</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Productivity</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="institutes" number="">Labor Regensburg Strategic IT Management (ReSITM)</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8756</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>26</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>38</volume>
    <type>article</type>
    <publisherName>IGI Global</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Archetypes, Situations, and Practices : a Guide to Successful Low-Code Adoption</title>
    <abstract language="eng">This paper extends prior work on low-code by explaining when adoption archetypes occur and how to use them. Motivated by information technology (IT) talent shortages and uneven low-code development platform (LCDP) outcomes, the paper seeks practical guidance for post-adoption choices in work systems. Using a multiple mini case study of 36 cases in large German organizations, this study analyzes interviews and context questionnaires with within-/cross-case coding and pattern matching against a 13-factor model. This analysis identifies situations that trigger three adoption archetypes—application development democratizers, synergy realizers, and IT resource shortage mitigators—and one non-adoption archetype, intricacy adversaries. The analysis also maps advantages and disadvantages and distills 12 good practices. Across adoption cases, efficiency is the dominant goal, whereas non-adoption stems from high application sophistication. The results give actionable guidance: align goals to an archetype, stick to LCDP standards, involve IT and foster an open culture, invest in skilling, reuse platform components, and reserve LCDPs for less-complex apps while planning architecture early.</abstract>
    <parentTitle language="eng">Information Resources Management Journal</parentTitle>
    <identifier type="issn">1040-1628</identifier>
    <identifier type="doi">10.4018/IRMJ.396005</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T14:09:50Z","timestamp":1766585390165,"version":"3.48.0"},"reference-count":0,"publisher":"IGI Global","issue":"1","license":[{"start":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T00:00:00Z","timestamp":1766534400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T00:00:00Z","timestamp":1766534400000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T00:00:00Z","timestamp":1766534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,24]]},"abstract":"&lt;p&gt;This paper extends prior work on low-code by explaining when adoption archetypes occur and how to use them. Motivated by information technology (IT) talent shortages and uneven low-code development platform (LCDP) outcomes, the paper seeks practical guidance for post-adoption choices in work systems. Using a multiple mini case study of 36 cases in large German organizations, this study analyzes interviews and context questionnaires with within-\/cross-case coding and pattern matching against a 13-factor model. This analysis identifies situations that trigger three adoption archetypes\u2014application development democratizers, synergy realizers, and IT resource shortage mitigators\u2014and one non-adoption archetype, intricacy adversaries. The analysis also maps advantages and disadvantages and distills 12 good practices. Across adoption cases, efficiency is the dominant goal, whereas non-adoption stems from high application sophistication. The results give actionable guidance: align goals to an archetype, stick to LCDP standards, involve IT and foster an open culture, invest in skilling, reuse platform components, and reserve LCDPs for less-complex apps while planning architecture early.&lt;\/p&gt;","DOI":"10.4018\/irmj.396005","type":"journal-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T14:06:37Z","timestamp":1766585197000},"page":"1-26","source":"Crossref","is-referenced-by-count":0,"title":["Archetypes, Situations, and Practices"],"prefix":"10.4018","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0640-3500","authenticated-orcid":true,"given":"Sebastian","family":"K\u00e4ss","sequence":"first","affiliation":[{"name":"OTH Regensburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9465-9679","authenticated-orcid":true,"given":"Susanne","family":"Strahringer","sequence":"additional","affiliation":[{"name":"TU Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6623-880X","authenticated-orcid":true,"given":"Markus","family":"Westner","sequence":"additional","affiliation":[{"name":"OTH Regensburg, Germany"}]}],"member":"2432","container-title":["Information Resources Management Journal"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=396005","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T14:08:28Z","timestamp":1766585308000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IRMJ.396005"}},"subtitle":["A Guide to Successful Low-Code Adoption"],"short-title":[],"issued":{"date-parts":[[2025,12,24]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"URL":"https:\/\/doi.org\/10.4018\/irmj.396005","relation":{},"ISSN":["1040-1628","1533-7979"],"issn-type":[{"value":"1040-1628","type":"print"},{"value":"1533-7979","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,24]]}}}</enrichment>
    <enrichment key="local_crossrefDocumentType">journal-article</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorIdentifierOrcid_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorIdentifierOrcid_3,PublisherName,TitleMain_1,Language,TitleAbstract_1,TitleParent_1,PageNumber,PageFirst,PageLast,Issue,Volume,CompletedYear,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Sebastian Käss</author>
    <author>Susanne Strahringer</author>
    <author>Markus Westner</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Business-managed IT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Low-Code Development</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Citizen Development</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Shadow IT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiple Mini Case Studies</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Work Systems Theory</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Good Practices</value>
    </subject>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="institutes" number="">Labor Regensburg Strategic IT Management (ReSITM)</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8754</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1767</pageFirst>
    <pageLast>1772</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>P-366</volume>
    <type>conferenceobject</type>
    <publisherName>Gesellschaft für Informatik e.V.</publisherName>
    <publisherPlace>Bonn</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards Monitoring and Diagnosis of Quantum Digital Twins</title>
    <abstract language="eng">As access to larger-scale quantum computers is still limited, it is useful to simulate quantum&#13;
algorithms on specialized programmable logic hardware such as FPGAs to exploit analogies between quantum and digital circuits, and allow for analysis and efficient debugging of quantum programs. Such simulations can be viewed as digital representations of actual physical systems, commonly referred to as Digital Twins (DTs). In previous work, we applied formal methods from runtime verification to synthesize monitors capable of real-time analysis of conventional DTs. Specifically, these monitors supervise alignment with their physical counterparts and support model-based diagnosis to identify potential root causes of observed deviations. In this short paper, we present ongoing work aimed at adapting and extending our approach to hardware-based simulation and analysis of quantum software on FPGAs, with the objective of improving both accuracy and resilience.</abstract>
    <parentTitle language="eng">Lecture Notes in Informatics (LNI)</parentTitle>
    <identifier type="doi">10.18420/INF2025_159</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-87546</identifier>
    <enrichment key="ConferenceStatement">55. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2025, Potsdam</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Martin Sachenbacher</author>
    <author>Martin Leucker</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/8754/GI_QC-25_paper8_final.pdf</file>
  </doc>
  <doc>
    <id>8319</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue/>
    <volume>409</volume>
    <type>conferenceobject</type>
    <publisherName>EDP Sciences</publisherName>
    <publisherPlace>Les Ulis</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-06-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Decoding concrete’s environmental performance: A detailed  analysis of global EPDs across the entire life cycle</title>
    <abstract language="eng">Environmental Product Declarations (EPDs) for concrete are essential tools to quantify the environmental impact of this versatile building material throughout its life cycle, supporting sustainable choices in construction. Concrete is made up of raw materials like cement, water, aggregates, additives, and admixtures, which can be mixed in diverse ways. This variability often necessitates site-specific EPDs, as emissions and environmental impacts depend greatly on cement type, transport routes, and specific production processes. This study analyses various data sources, focusing on EPDs according to ISO 14025 and EN 15804. The life cycle phases A1-A3, B1-B7, C1-C4 and D are considered and compared. The results demonstrate that factors such as scenario assumptions, methodological choices, and allocation procedures significantly influence concrete’s environmental impact. Transparent EPDs improve assessment reliability, while allocation methods, especially in phases D and end-of-life, significantly influence reported benefits, underscoring the importance of careful allocation for accurate impact evaluations. Improved standardisation, transparency, and alignment with EN 16757 would enhance EPD comparability and reliability. Overall, the study identifies key parameters such as recycling potential, production stage and allocation methods as substantial factors in the environmental performance of concrete.</abstract>
    <parentTitle language="deu">MATEC Web of Conferences</parentTitle>
    <identifier type="doi">10.1051/matecconf/202540913001</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="ConferenceStatement">Concrete Solutions 2025 – 9th International Conference on Concrete Repair, Durability &amp; Technology, 16.-18.06.2025, Lisbon</enrichment>
    <enrichment key="CorrespondingAuthor">Sophie Albrecht</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Sophie Viktoria Albrecht</author>
    <author>Charlotte Thiel</author>
    <author>Merve Karamara</author>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="othforschungsschwerpunkt" number="16313">Gebäude und Infrastruktur</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
  </doc>
  <doc>
    <id>8848</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>22</pageNumber>
    <edition/>
    <issue>7</issue>
    <volume>15</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures</title>
    <abstract language="eng">Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. This is because the process is sensitive to many parameters and has a complex thermal history. Thin-walled geometries present an added challenge because their dimensions often approach the scale of individual grains. Thus, microstructure becomes a critical factor in the overall integrity of the component. This study focuses on applying cellular automata (CA) modeling to establish robust and efficient process–structure relationships in L-PBF of 316L stainless steel. The CA framework simulates solidification-driven grain evolution and texture development across various processing conditions. Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. The results demonstrate that CA simulations calibrated with relevant process parameters can effectively reproduce key microstructural features, including grain size distributions, aspect ratios, and texture components, observed in thin-walled L-PBF structures. This work highlights the strengths and limitations of CA-based modeling and supports its role in reliably designing and optimizing complex L-PBF components.</abstract>
    <parentTitle language="eng">Metals</parentTitle>
    <identifier type="issn">2075-4701</identifier>
    <identifier type="doi">10.3390/met15070812</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T07:23:02Z","timestamp":1765610582144,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T00:00:00Z","timestamp":1752969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Bavarian State Ministry of Science and the Arts"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metals"],"abstract":"&lt;jats:p&gt;Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. This is because the process is sensitive to many parameters and has a complex thermal history. Thin-walled geometries present an added challenge because their dimensions often approach the scale of individual grains. Thus, microstructure becomes a critical factor in the overall integrity of the component. This study focuses on applying cellular automata (CA) modeling to establish robust and efficient process\u2013structure relationships in L-PBF of 316L stainless steel. The CA framework simulates solidification-driven grain evolution and texture development across various processing conditions. Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. The results demonstrate that CA simulations calibrated with relevant process parameters can effectively reproduce key microstructural features, including grain size distributions, aspect ratios, and texture components, observed in thin-walled L-PBF structures. This work highlights the strengths and limitations of CA-based modeling and supports its role in reliably designing and optimizing complex L-PBF components.&lt;\/jats:p&gt;","DOI":"10.3390\/met15070812","type":"journal-article","created":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T10:35:31Z","timestamp":1753094131000},"page":"812","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Toward an Efficient and Robust Process\u2013Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures"],"prefix":"10.3390","volume":"15","author":[{"given":"Yu","family":"Qiao","sequence":"first","affiliation":[{"name":"Computational Mechanics and Materials Lab, Faculty of Mechanical Engineering, OTH Regensburg, Galgenbergstra\u00dfe 30, 93053 Regensburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5671-2897","authenticated-orcid":false,"given":"Marius","family":"Grad","sequence":"additional","affiliation":[{"name":"Computational Mechanics and Materials Lab, Faculty of Mechanical Engineering, OTH Regensburg, Galgenbergstra\u00dfe 30, 93053 Regensburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1522-224X","authenticated-orcid":false,"given":"Aida","family":"Nonn","sequence":"additional","affiliation":[{"name":"Computational Mechanics and Materials Lab, Faculty of Mechanical Engineering, OTH Regensburg, Galgenbergstra\u00dfe 30, 93053 Regensburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.jmapro.2021.12.064","article-title":"Process parameter selection and optimization of laser powder bed fusion for 316L stainless steel: A review","volume":"75","author":"Ahmed","year":"2022","journal-title":"J. Manuf. Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3153","DOI":"10.1007\/s11661-999-0226-2","article-title":"A three-dimensional cellular automaton-finite element model for the prediction of solidification grain structures","volume":"30","author":"Gandin","year":"1999","journal-title":"Metall. Mater. Trans. A Phys. Metall. Mater. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/0956-7151(93)90065-Z","article-title":"Probabilistic modelling of microstructure formation in solidification processes","volume":"41","author":"Rappaz","year":"1993","journal-title":"Acta Metall. Mater."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"116930","DOI":"10.1016\/j.actamat.2021.116930","article-title":"Optimizing the cellular automata finite element model for additive manufacturing to simulate large microstructures","volume":"213","author":"Teferra","year":"2021","journal-title":"Acta Mater."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"109434","DOI":"10.1016\/j.matdes.2020.109434","article-title":"Numerical prediction of grain structure formation during laser powder bed fusion of 316 L stainless steel","volume":"199","author":"Baumard","year":"2021","journal-title":"Mater. Des."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/j.commatsci.2016.10.011","article-title":"Mesoscale modelling of selective laser melting: Thermal fluid dynamics and microstructural evolution","volume":"126","author":"Panwisawas","year":"2017","journal-title":"Comput. Mater. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"101031","DOI":"10.1016\/j.mtcomm.2020.101031","article-title":"Microstructural modelling of above \u03b2-transus heat treatment of additively manufactured Ti-6Al-4V using cellular automata","volume":"24","author":"Baere","year":"2020","journal-title":"Mater. Today Commun."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.commatsci.2017.09.018","article-title":"Three-dimensional modeling of the microstructure evolution during metal additive manufacturing","volume":"141","author":"Zinovieva","year":"2018","journal-title":"Comput. Mater. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"025009","DOI":"10.1088\/1361-651X\/aaf753","article-title":"A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals","volume":"27","author":"Herriott","year":"2019","journal-title":"Model. Simul. Mater. Sci. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s00466-017-1535-8","article-title":"A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing","volume":"61","author":"Lian","year":"2018","journal-title":"Comput. Mech."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"107672","DOI":"10.1016\/j.matdes.2019.107672","article-title":"A cellular automaton finite volume method for microstructure evolution during additive manufacturing","volume":"169","author":"Lian","year":"2019","journal-title":"Mater. Des."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.commatsci.2018.06.019","article-title":"Numerical investigation of effects of nucleation mechanisms on grain structure in metal additive manufacturing","volume":"153","author":"Li","year":"2018","journal-title":"Comput. Mater. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.commatsci.2016.07.005","article-title":"A coupled Cellular Automaton\u2013Lattice Boltzmann model for grain structure simulation during additive manufacturing","volume":"124","author":"Rai","year":"2016","journal-title":"Comput. Mater. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.commatsci.2017.03.053","article-title":"Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo","volume":"135","author":"Rodgers","year":"2017","journal-title":"Comput. Mater. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"066122","DOI":"10.1103\/PhysRevE.73.066122","article-title":"Multiphase-field approach for multicomponent alloys with extrapolation scheme for numerical application","volume":"73","author":"Eiken","year":"2006","journal-title":"Phys. Rev. E Stat. Nonlinear Soft Matter Phys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1016\/j.actamat.2017.11.033","article-title":"Phase field simulation of powder bed-based additive manufacturing","volume":"144","author":"Lu","year":"2018","journal-title":"Acta Mater."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.actamat.2017.05.003","article-title":"Methods to Additive Manufacturing of Ni-based Superalloys","volume":"139","author":"Keller","year":"2017","journal-title":"Acta Mater."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1007\/s11837-015-1352-5","article-title":"Phase-field modeling of microstructure evolution in electron beam additive manufacturing","volume":"67","author":"Gong","year":"2015","journal-title":"Jom"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"100810","DOI":"10.1016\/j.pmatsci.2021.100810","article-title":"Phase-field modeling of microstructure evolution: Recent applications, perspectives and challenges","volume":"123","author":"Tourret","year":"2022","journal-title":"Prog. Mater. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"5235","DOI":"10.1007\/s11665-021-05725-0","article-title":"A Novel Approach to Predict the Process-Induced Mechanical Behavior of Additively Manufactured Materials","volume":"30","author":"Koepf","year":"2021","journal-title":"J. Mater. Eng. Perform."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Xu, F., Xiong, F., Li, M.J., and Lian, Y. (2022). Three-Dimensional Numerical Simulation of Grain Growth during Selective Laser Melting of 316L Stainless Steel. Materials, 15.","DOI":"10.3390\/ma15196800"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.actamat.2019.10.044","article-title":"The significance of spatial length scales and solute segregation in strengthening rapid solidification microstructures of 316L stainless steel","volume":"184","author":"Pinomaa","year":"2020","journal-title":"Acta Mater."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.actamat.2019.11.057","article-title":"Finite interface dissipation phase field modeling of Ni\u2013Nb under additive manufacturing conditions","volume":"185","author":"Karayagiz","year":"2020","journal-title":"Acta Mater."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"116862","DOI":"10.1016\/j.actamat.2021.116862","article-title":"The development of grain structure during additive manufacturing","volume":"211","author":"Chadwick","year":"2021","journal-title":"Acta Mater."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/s41524-021-00524-6","article-title":"Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening","volume":"7","author":"Yang","year":"2021","journal-title":"npj Comput. Mater."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1038\/s41524-022-00890-9","article-title":"Physics-embedded graph network for accelerating phase-field simulation of microstructure evolution in additive manufacturing","volume":"8","author":"Xue","year":"2022","journal-title":"npj Comput. Mater."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.jmatprotec.2018.02.042","article-title":"Investigation on evolution mechanisms of site-specific grain structures during metal additive manufacturing","volume":"257","author":"Liu","year":"2018","journal-title":"J. Mater. Process. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"118707","DOI":"10.1016\/j.jmatprotec.2024.118707","article-title":"An integrated simulation approach for directing the texture control of austenitic stainless steel through laser beam powder bed fusion","volume":"336","author":"Chen","year":"2025","journal-title":"J. Mater. Process. Technol."},{"key":"ref_29","first-page":"103676","article-title":"An extended version of cellular automata model for powder bed fusion to unravel the dependence of microstructure on printing areas for Inconel 625","volume":"73","author":"Xie","year":"2023","journal-title":"Addit. Manuf."},{"key":"ref_30","first-page":"104622","article-title":"A multi-level capture algorithm for accelerating cellular automata predictions of grain structure and texture in additive manufacturing","volume":"98","author":"Liang","year":"2025","journal-title":"Addit. Manuf."},{"key":"ref_31","first-page":"104024","article-title":"Grain structure and texture selection regimes in metal powder bed fusion","volume":"81","author":"Rolchigo","year":"2024","journal-title":"Addit. Manuf."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"111692","DOI":"10.1016\/j.commatsci.2022.111692","article-title":"ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling","volume":"214","author":"Rolchigo","year":"2022","journal-title":"Comput. Mater. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"113734","DOI":"10.1016\/j.commatsci.2025.113734","article-title":"ExaCA v2.0: A versatile, scalable, and performance portable cellular automata application for additive manufacturing solidification","volume":"251","author":"Rolchigo","year":"2025","journal-title":"Comput. Mater. Sci."},{"key":"ref_34","unstructured":"Coleman, J., Kincaid, K., Knapp, G.L., Stump, B., and Plotkowski, A.J. (2023). ORNL\/AdditiveFOAM: Release 1.0. Zenodo."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1016\/S1359-6454(96)00303-5","article-title":"A 3D Cellular Automaton algorithm for the prediction of dendritic grain growth","volume":"45","author":"Gandin","year":"1997","journal-title":"Acta Mater."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1016\/0001-6160(86)90056-8","article-title":"Theory of Microstructural Development during Rapid Solidification","volume":"34","author":"Trivedi","year":"1986","journal-title":"Acta Metall."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/BF02667333","article-title":"A new finite element model for welding heat sources","volume":"15","author":"Goldak","year":"1984","journal-title":"Metall. Trans. B"},{"key":"ref_38","first-page":"102429","article-title":"Effects of melt convection on stray grain formation in single crystal superalloys during directed energy deposition","volume":"48","author":"Lu","year":"2021","journal-title":"Addit. Manuf."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Cao, L. (2019). Numerical simulation of the impact of laying powder on selective laser melting single-pass formation. Int. J. Heat Mass Transf.","DOI":"10.1016\/j.ijheatmasstransfer.2019.07.053"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"122201","DOI":"10.1115\/1.4047916","article-title":"Sensitivity of Thermal Predictions to Uncertain Surface Tension Data in Laser Additive Manufacturing","volume":"142","author":"Coleman","year":"2020","journal-title":"J. Heat Transf.-Trans. Asme"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.jmapro.2014.04.001","article-title":"Numerical and experimental investigations on laser melting of stainless steel 316L metal powders","volume":"16","author":"Antony","year":"2014","journal-title":"J. Manuf. Process."},{"key":"ref_42","first-page":"750","article-title":"Modeling of solidification microstructure evolution in laser powder bed fusion fabricated 316L stainless steel using combined computational fluid dynamics and cellular automata","volume":"28","author":"Zhang","year":"2019","journal-title":"Addit. Manuf."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"5715","DOI":"10.1007\/s00170-021-08352-0","article-title":"Numerical model of heat transfer during laser powder bed fusion of 316L stainless steel","volume":"119","author":"Cox","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1002\/mawe.202000038","article-title":"Mechanical properties of small structures built by selective laser melting 316 L stainless steel\u2013A phenomenological approach to improve component design","volume":"51","author":"Wiesent","year":"2020","journal-title":"Mater. Werkst."},{"key":"ref_45","unstructured":"Beausir, B., and Fundenberger, J.-J. (2025, May 30). Analysis Tools for Electron and X-Ray Diffraction, ATEX-Software, Available online: www.atex-software.eu."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1016\/j.matchar.2018.09.020","article-title":"Application of chord length distributions and principal component analysis for quantification and representation of diverse polycrystalline microstructures","volume":"145","author":"Latypov","year":"2018","journal-title":"Mater. Charact."}],"container-title":["Metals"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-4701\/15\/7\/812\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:12:58Z","timestamp":1760033578000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-4701\/15\/7\/812"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,20]]},"references-count":46,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["met15070812"],"URL":"https:\/\/doi.org\/10.3390\/met15070812","relation":{},"ISSN":["2075-4701"],"issn-type":[{"type":"electronic","value":"2075-4701"}],"subject":[],"published":{"date-parts":[[2025,7,20]]}}}</enrichment>
    <enrichment key="local_crossrefDocumentType">journal-article</enrichment>
    <enrichment key="local_crossrefLicence">https://creativecommons.org/licenses/by/4.0/</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorIdentifierOrcid_3,PublisherName,TitleMain_1,Language,TitleAbstract_1,TitleParent_1,ArticleNumber,Issue,Volume,CompletedYear,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="Kostentraeger">PRESTIGE</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="CorrespondingAuthor">Yu Qiao</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Yu Qiao</author>
    <author>Marius Grad</author>
    <author>Aida Nonn</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="institutes" number="TCNeustadt">Technologie-Campus Neustadt an der Donau</collection>
    <collection role="persons" number="nonncmm">Nonn, Aida (Prof. Dr.) - Computational Mechanics and Materials Lab</collection>
    <collection role="persons" number="tcnehno">Technologie-Campus Neustadt a. d. Donau (Prof. Ehrlich+ Prof. Nonn)</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="funding" number="">Publikationsfonds der OTH Regensburg</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Materialien und Produktion</collection>
  </doc>
</export-example>
