TY - JOUR A1 - Agostinelli, Simone A1 - Asatiani, Aleksandre A1 - Axmann, Bernhard A1 - Hannibal, Glenda A1 - Modlinski, Artur ED - del-Río-Ortega, Adela ED - Marrella, Andrea ED - Reijers, Hajo A. ED - Wilde, Adriana T1 - Trust Calibration for RPA JF - Dagstuhl Reports N2 - This working group focused on foundational issues of trust in RPA: How we can conceptualize trust between users and software robots and specify it in a way that, eventually, we can measure that trust empirically. UR - https://doi.org/10.4230/DagRep.14.7.52 Y1 - 2025 UR - https://doi.org/10.4230/DagRep.14.7.52 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64681 SN - 2192-5283 VL - 14 IS - 7 SP - 61 EP - 64 PB - Schloss Dagstuhl CY - Dagstuhl ER - TY - CHAP A1 - Hohenadl, Tom A1 - Axmann, Bernhard ED - ER, Mahendrawathi ED - Gal, Avigdor ED - Grisold, Thomas ED - Santoro, Flavia ED - Weske, Mathias ED - Dijkman, Remco M. ED - Karastoyanova, Dimka ED - Aysolmaz, Banu ED - Bandara, Wasana ED - Revoredo, Kate T1 - The Future of RPA in the Context of Automation Platforms T2 - Business Process Management: Responsible BPM Forum, Process Technology Forum, Educators Forum, BPM 2025 RBPM, PT, and Educators Forum, Seville, Spain, August 31 – September 5, 2025, Proceedings UR - doi.org/10.1007/978-3-032-02936-2_18 Y1 - 2025 UR - doi.org/10.1007/978-3-032-02936-2_18 SN - 978-3-032-02936-2 SP - 247 EP - 262 PB - Springer CY - Cham ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - The Assessment Model of Robotic Process Automation (RPA) Project Using Benefit Study and Balanced Scorecard (BSC) Approach JF - Tehnički glasnik N2 - Assessing Robotic Process Automation (RPA) projects is challenging, especially for small and medium-sized enterprises (SMEs) with limited resources. The most common approach, cost-benefit analysis, measures the financial success of a project, but it does not capture all RPA benefits, which can lead to erroneous decisions about starting, continuing, delaying, or stopping an RPA project. This research presents a novel RPA project assessment model that combines a benefits approach with the balanced scorecard (BSC) framework. The model identifies RPA benefits from the scientific literature and classifies them into four BSC indicators: financial, business process improvement, customer satisfaction, and learning and development. SMEs can easily use the model by comparing expected and actual benefits to make quick and holistic decisions. The model's simplicity, ease of use, and ability to reveal both monetary and non-monetary RPA benefits make it a valuable tool for SMEs. UR - https://doi.org/10.31803/tg-20240416111054 Y1 - 2024 UR - https://doi.org/10.31803/tg-20240416111054 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64252 SN - 1848-5588 VL - 18 IS - 2 SP - 246 EP - 253 PB - University North CY - Koprivnica ER - TY - CHAP A1 - Axmann, Bernhard A1 - Cvetić, Biljana A1 - Macowski Durski Silva, Vanina A1 - Trstenjak, Maja T1 - AI Office and Automation Software: Cross Country Survey on Utilization in Logistics T2 - 2025 15th International Conference on Advanced Computer Information Technologies: ACIT’2025, Conference Proceedings UR - https://doi.org/10.1109/ACIT65614.2025.11185844 Y1 - 2025 UR - https://doi.org/10.1109/ACIT65614.2025.11185844 SN - 979-8-3315-9544-9 SP - 261 EP - 266 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Axmann, Bernhard A1 - Pujar, Sanket T1 - Artificial Intelligence in Knowledge Management: Overview and Selection of Software for Automotive Reporting JF - Tehnički glasnik N2 - Knowledge Management is essential for modern organizations, enabling the systematic capture, organization, and sharing of knowledge to enhance decision-making and innovation. Traditional Knowledge Management tools, focused on document storage and retrieval, struggle with unstructured data and collaboration, necessitating advanced technological solutions, particularly those incorporating Artificial Intelligence. - Artificial Intelligence-driven Knowledge Management systems revolutionize data handling through automation, and real-time insights. This is particularly valuable in data-intensive industries like automotive, finance, and healthcare. In the automotive sector, annual reports provide critical insights but are complex and time-consuming to analyze and are a complex example and therefore a good test case. Annual reports of 5 major automotive companies BMW, Volkswagen group, Toyota Motors, General Motors and Tesla were selected as the testing dataset. Artificial Intelligence tools, using natural language processing and machine learning, streamline data extraction. - Despite their benefits, organizations face challenges in selecting the right Artificial Intelligence-driven Knowledge Management software due to a lack of standardized evaluation frameworks. This research applies a systematic methodology for assessing such software, considering usability, adaptability, cost-effectiveness, and data privacy compliance, specifically tailored to automotive reporting and gives recommendation for software tools. UR - https://doi.org/10.31803/tg-20250313154901 Y1 - 2025 UR - https://doi.org/10.31803/tg-20250313154901 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59480 SN - 1848-5588 VL - 19 IS - si1 SP - 130 EP - 135 PB - University North CY - Koprivnica ER - TY - CHAP A1 - Axmann, Bernhard A1 - Dzhelil, Sevgin Ahmed A1 - Najeeb, Asna T1 - Practical Comparison of UiPath and Power Automate by Creating an Automation Use Case from Logistics T2 - 2024 14th International Conference on Advanced Computer Information Technologies ACIT’2024: Conference Proceedings UR - https://doi.org/10.1109/ACIT62333.2024.10712623 Y1 - 2024 UR - https://doi.org/10.1109/ACIT62333.2024.10712623 SN - 979-8-3503-5004-3 SP - 224 EP - 229 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Hohenadl, Tom A1 - Axmann, Bernhard A1 - Stummeyer, Christian ED - Di Ciccio, Claudio ED - Fdhila, Walid ED - Agostinelli, Simone ED - Amyot, Daniel ED - Leopold, Henrik ED - Krčál, Michal ED - Malinova Mandelburger, Monika ED - Polančič, Gregor ED - Tomičić-Pupek, Katarina ED - Gdowska, Katarzyna ED - Grisold, Thomas ED - Sliż, Piotr ED - Beerepoot, Iris ED - Gabryelczyk, Renata ED - Plattfaut, Ralf T1 - Decision-Making in Robotic Process Automation Programming and its Influence on Robotic Process Mining T2 - Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum, BPM 2024 Blockchain, RPA, CEE, Educators and Industry Forum Krakow, Poland, September 1–6, 2024, Proceedings UR - https://doi.org/10.1007/978-3-031-70445-1_11 Y1 - 2024 UR - https://doi.org/10.1007/978-3-031-70445-1_11 SN - 978-3-031-70445-1 SN - 978-3-031-70444-4 SP - 169 EP - 184 PB - Springer CY - Cham ER - TY - CHAP A1 - Axmann, Bernhard A1 - Harmoko, Harmoko A1 - Herm, Lukas-Valentin A1 - Janiesch, Christian ED - González Enríquez, José ED - Debois, Søren ED - Fettke, Peter ED - Plebani, Pierluigi ED - van de Weerd, Inge ED - Weber, Ingo T1 - A Framework of Cost Drivers for Robotic Process Automation Projects T2 - Business Process Management, Blockchain and Robotic Process Automation Forum, BPM 2021 Blockchain and RPA Forum Rome, Italy, September 6–10, 2021, Proceedings UR - https://doi.org/10.1007/978-3-030-85867-4_2 Y1 - 2021 UR - https://doi.org/10.1007/978-3-030-85867-4_2 SN - 978-3-030-85867-4 SN - 978-3-030-85866-7 SP - 7 EP - 22 PB - Springer CY - Cham ER - TY - JOUR A1 - Axmann, Bernhard A1 - Fariwar, Fassih A1 - Harmoko, Harmoko T1 - Bewertung von Automatisierungslösungen im Büro BT - Wie bewerte ich einfach Automatisierungslösungen für das Büro und welche bewerteten Anwendungsbeispiele (Use Cases) gibt es? JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb UR - https://doi.org/10.1515/zwf-2022-1039 Y1 - 2022 UR - https://doi.org/10.1515/zwf-2022-1039 SN - 2511-0896 VL - 117 IS - 4 SP - 239 EP - 243 PB - de Gruyter CY - Berlin ER - TY - JOUR A1 - Straßer, Thomas Andreas A1 - Axmann, Bernhard T1 - Analyse und Bewertung von KI-Anwendungen in der Logistik JF - Logistics Journal T2 - Analysis and evaluation of AI applications in logistics UR - https://doi.org/10.2195/lj_NotRev_strasser_de_202108_01 Y1 - 2021 UR - https://doi.org/10.2195/lj_NotRev_strasser_de_202108_01 SN - 1860-5923 VL - 2021 PB - WGTL CY - Dresden ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko A1 - Malhotra, Rahul T1 - The Assessment of Robotic Process Automation Projects with a Portfolio Analysis: First Step - Evaluation Criteria Identification and Introduction of the Portfolio Concept JF - Tehnički glasnik N2 - RPA’s (Robotic Process Automation) usage in organizations has rapidly increased in recent years; as a result, companies have developed high expectations from this technology. However, according to Ernst & Young (E&Y), 30-50% of observed RPA projects initially fail and reveal several risks, which lead to investment losses. Consequently, the RPA project is prematurely retired, and the company is back to the manual process. This premature retirement is mainly because of wrong process selection and the not sufficient company automation (RPA) maturity. Therefore, this paper will introduce the concept of an RPA Portfolio, which will assess the complexity of business processes with a company’s automation (RPA) maturity. The RPA Portfolio is a new innovative concept to simplify and visualize the business process selection for RPA projects, and will help to introduce successfully the right RPA projects. UR - https://doi.org/10.31803/tg-20230416193006 KW - automation maturity KW - business process KW - portfolio KW - robotic process automation KW - technology assessment Y1 - 2023 UR - https://doi.org/10.31803/tg-20230416193006 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-37809 SN - 1848-5588 VL - 17 IS - 2 SP - 207 EP - 214 PB - University North CY - Koprivnica ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Process & Software Selection for Robotic Process Automation (RPA) JF - Tehnički glasnik N2 - Robotic process automation (RPA) is a technology for office automation to imitate human behaviour when interacting with computers to perform digitized tasks manually, such as opening and closing applications, reading documents, entering data, and sending e-mails. As with any new digital technology answering the question of where to start and what is the right software, is challenging. In the case of RPA, the question of where to start depends on the selection of the business process to be automated and optimized. There are approaches for process selection in research, but they are relatively complex and have not been validated in practice. To fill this gap, we have simplified the process selection method and validated it on a practical example. We also present a simple method to select the appropriate RPA software. The criteria selection and evaluation were done with the Pairwise Comparison and Benefit Value Analysis method. This approach is relatively easy to follow and to apply in practice and thus also closes a gap in applied research. UR - https://doi.org/10.31803/tg-20220417182552 KW - assessment KW - office automation KW - process selection KW - RPA (Robotic Process Automation) KW - software selection Y1 - 2022 UR - https://doi.org/10.31803/tg-20220417182552 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-35250 SN - 1848-5588 VL - 16 IS - 3 SP - 412 EP - 419 PB - University North CY - Koprivnica ER - TY - JOUR A1 - Axmann, Bernhard T1 - Digitalisierung der Fabrik – Industrie 4.0 BT - Motivation, Herausforderungen und Lösungen JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb T2 - Digital Factory - Industry 4.0: Motivation, Challenges and Solutions UR - https://doi.org/10.3139/104.111487 KW - Industrie 4.0 KW - Digitale Farbrik Y1 - 2016 UR - https://doi.org/10.3139/104.111487 SN - 2511-0896 VL - 111 IS - 3 SP - 143 EP - 147 PB - Carl Hanser Verlag CY - München ER - TY - CHAP A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Robotic Process Automation: An Overview and Comparison to Other Technology in Industry 4.0 T2 - 2020 10th International Conference on Advanced Computer Information Technologies (ACIT): Conference Proceedings UR - https://doi.org/10.1109/ACIT49673.2020.9208907 KW - RPA KW - Robotic Process Automation KW - Office Automation Y1 - 2020 UR - https://doi.org/10.1109/ACIT49673.2020.9208907 SN - 978-1-7281-6760-2 SN - 978-1-7281-6759-6 SP - 559 EP - 562 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Harmoko, Harmoko A1 - Jiménez Ramírez, Andrés A1 - Enríquez, José González A1 - Axmann, Bernhard ED - Marrella, Andrea ED - Matulevičius, Raimundas ED - Gabryelczyk, Renata ED - Axmann, Bernhard ED - Bosilj Vukšić, Vesna ED - Gaaloul, Walid ED - Štemberger, Mojca Indihar ED - Kő, Andrea ED - Lu, Qinghua T1 - Identifying the Socio-Human Inputs and Implications in Robotic Process Automation (RPA): A Systematic Mapping Study T2 - Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum UR - https://doi.org/10.1007/978-3-031-16168-1_12 KW - Robotic Process Automation (RPA) KW - human KW - social KW - input KW - implication Y1 - 2022 UR - https://doi.org/10.1007/978-3-031-16168-1_12 SN - 978-3-031-16167-4 SN - 978-3-031-16168-1 SP - 185 EP - 199 PB - Springer CY - Cham ER - TY - JOUR A1 - Sánchez Solis, Lesly A1 - Axmann, Bernhard A1 - Schuldt, Tino T1 - Vergleich von Methoden zur Auswahl Digitaler Technologien für KMU BT - Welche Methoden zur Auswahl von Digitalen Technologien sind für kleine und mittlere Unternehmen am besten geeignet? BT - Which digital technology selection methods are best for small and medium-sized businesses? JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb T2 - Comparison of methods for selecting of digital technologies for SMEs UR - https://doi.org/10.1515/zwf-2021-0148 KW - Digitalisierung KW - Bewertung KW - KMU KW - Fabrik KW - Industrie 4.0 KW - Methode Y1 - 2021 UR - https://doi.org/10.1515/zwf-2021-0148 SN - 2511-0896 VL - 116 IS - 10 SP - 735 EP - 739 PB - de Gruyter CY - Berlin ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - The Five Dimensions of Digital Technology Assessment with the Focus on Robotic Process Automation (RPA) JF - Tehnički glasnik N2 - In Technology Management, the assessment of new digital technologies is a challenging process. Most assessments are focusing on cost & benefit. These approaches often fail because main points are neglected. In this paper, the holistic approach of "The Five Dimensions of Digital Technology Assessment" will be described with the example of RPA (Robotic Process Automation). RPA is one of the most promising technologies to save data processing efforts in the office. The Five Dimensions of RPA Assessment is performed by assessing the benefits, technology readiness, usability, company readiness, and the costs that burden the company in the RPA implementation. UR - https://doi.org/10.31803/tg-20210429105337 KW - assessment KW - benefit KW - company readiness KW - cost KW - RPA (Robotic Process Automation) KW - technology readiness KW - usability Y1 - 2021 UR - https://doi.org/10.31803/tg-20210429105337 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-10395 SN - 1848-5588 VL - 15 IS - 2 SP - 267 EP - 274 PB - University North CY - Koprivnica ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Entwicklung eines Bewertungsinstruments für neue digitale Technologien in KMU BT - Teil 2: Am Beispiel der Künstlichen Intelligenz JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb T2 - Development of an Assessment Tool for New Digital Technologies in SMEs UR - https://doi.org/10.1515/zwf-2021-0041 KW - Bewertungsmethode KW - Digitale Technologie KW - Technologiebereitschaft KW - Benutzerfreundlichkeit KW - Kosten KW - Assessment Method KW - Digital Technology KW - Technology Readiness KW - Usability KW - Cost Y1 - 2021 UR - https://doi.org/10.1515/zwf-2021-0041 SN - 2511-0896 VL - 116 IS - 5 SP - 363 EP - 367 PB - de Gruyter CY - Berlin ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Herausforderungen bei der Einführung neuer digitaler Technologien bei KMU Teil 1: Am Beispiel der Künstlichen Intelligenz JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb UR - https://doi.org/10.1515/zwf-2021-0040 KW - Künstliche Intelligenz KW - KMU KW - digitale Technologien Y1 - 2021 UR - https://doi.org/10.1515/zwf-2021-0040 SN - 2511-0896 VL - 116 IS - 4 SP - 269 EP - 271 PB - de Gruyter CY - Berlin ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Industry 4.0 Readiness Assessment: Comparison of Tools and Introduction of New Tool for SME JF - Tehnički glasnik UR - https://doi.org/10.31803/tg-20200523195016 KW - data exchange KW - digitalization KW - hardware KW - Industry 4.0 KW - SMEs KW - software Y1 - 2020 UR - https://doi.org/10.31803/tg-20200523195016 SN - 1848-5588 VL - 14 IS - 2 SP - 212 EP - 217 PB - University North CY - Koprivnica ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Der Industrie-4.0-Leitfaden für kleine und mittlere Unternehmen BT - Die dritte Richtlinie: Intelligente Logistik und Hardware JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb UR - https://doi.org/10.3139/104.112259 Y1 - 2020 UR - https://doi.org/10.3139/104.112259 SN - 2511-0896 VL - 115 IS - 4 SP - 262 EP - 265 PB - Hanser CY - München ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Der Industrie-4.0-Leitfaden für kleine und mittlere Unternehmen BT - Die zweite Richtlinie: Software JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb UR - https://doi.org/10.3139/104.112249 Y1 - 2020 UR - https://doi.org/10.3139/104.112249 SN - 2511-0896 VL - 115 IS - 3 SP - 178 EP - 181 PB - Hanser CY - München ER - TY - JOUR A1 - Axmann, Bernhard A1 - Harmoko, Harmoko T1 - Der Industrie-4.0-Leitfaden für kleine und mittlere Unternehmen BT - Die erste Richtlinie: Daten BT - The First Readiness Pillar: Data JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb T2 - The Guideline of Industry 4.0 for SMEs UR - https://doi.org/10.3139/104.112229 Y1 - 2020 UR - https://doi.org/10.3139/104.112229 SN - 2511-0896 VL - 115 IS - 1-2 SP - 94 EP - 97 PB - Hanser CY - München ER - TY - JOUR A1 - Axmann, Bernhard A1 - Hamberger, Werner A1 - Liegl, Thomas T1 - Digitalisierung der Fabrik – Datenqualität als Schlüssel zum Erfolg BT - Welchen Wert haben Daten? JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb T2 - Digitalization of the Factory – Data Quality as the Key to Success UR - https://doi.org/10.3139/104.112083 Y1 - 2019 UR - https://doi.org/10.3139/104.112083 SN - 2511-0896 VL - 114 IS - 5 SP - 302 EP - 305 PB - Hanser CY - München ER -