TY - JOUR A1 - Abdennebi, Aziz A1 - Mock, Markus T1 - FRUTILLA: Real-Time Frost Prediction in Agricultural Environments Based on Sensor Synthesis and Machine Learning JF - Research Notes on Data and Process Science N2 - Frost damages fruit crops, with losses particularly acute in Chile where this project operates in collaboration with fruit growers. We present a machine learning system for frost prediction that combines multi-source weather data with dimensionality reduction for agricultural decision support. We develop a system that synthesizes data from 97 permanent weather stations operated by FDF (Fundaci ´on para el Desarrollo Frut´ıcola), real-time weather APIs, and forecast services, applying Random Forest and XGBoost models with PCA-based dimensionality reduction to predict frost conditions up to 24 hours in advance. Our feature engineering incorporates temporal cyclical encoding, rolling statistics across multiple time windows, lagged features, and lead features from weather forecasts, producing 421 features reduced to 124 PCA components. The regression models achieve promising results: XGBoost obtains MAE of 1.29°C (R²=0.94) for 1-hour forecasts and MAE of 3.32°C (R²=0.51) for 24-hour forecasts. Humidity prediction achieves MAE of 5.2% (R²=0.88) at 1-hour and 10.1% (R²=0.47) at 24-hour horizons. The PCA approach substantially improves performance compared to using all features directly, demonstrating the importance of dimensionality reduction for high-dimensional weather feature sets. This work provides a practical framework for agricultural frost prediction, with short-term temperature forecasts (1-6 hours) achieving accuracy suitable for supporting frost risk assessment, though binary frost classification remains challenging due to class imbalance. T3 - Research Notes on Data and Process Science - 8 Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-4740 SN - 2702-508X IS - 8 SP - 1 EP - 17 ER - TY - JOUR A1 - Martens, Maren A1 - Scheuchenpflug, Elisabeth T1 - A new trend in further education? The involvement of small and medium-sized enterprises in micro degrees on digitalization and sustainability N2 - The rapid changes in digitalization, the resulting rise of new technologies, as well as the new requirements in conducting and reporting sustainable practices confront companies with distinct challenges. Small and medium-sized enterprises (SMEs) are affected particularly, as they typically struggle, even stronger than bigger firms, with a lack of human capital and limited time for further education. To address these challenges, different institutions have identified micro degrees as a possibility to provide necessary further education in short time. Such micro degrees have been developed and offered by the Landshut University of Applied Sciences in Bavaria, concentrating on carefully selected topics from digitalization and sustainability with a special focus on the needs of SMEs. The study presented in this paper investigates the involvement of Bavarian SMEs in the micro degrees and which groups of employees they attracted throughout the offered program. It compares the structure of the micro degree participants, e.g., regarding gender, educational background, and age, to the general structure of employees in Bavaria and to the structure of participants in further education overall. It turns out that the offered micro degrees are generally well appreciated, but rather by people with academic background, rather by men than by women, and rather by young to medium-aged people. These results are examined diligently and discussed in detail. T3 - Research Notes on Data and Process Science - 7 Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-4118 IS - 7 SP - 1 EP - 10 ER - TY - JOUR A1 - Schidek, Anna A1 - Schwägerl, Pia A1 - Martens, Maren T1 - Mapping the Landscape of Process Mining in Project Management: a Comprehensive Literature Review JF - Research Notes on Data and Process Science N2 - As an interface between data science and process management, the application of process mining has so far mainly focused on operational business processes and is relatively unexplored in the context of projects and its management. However, it can also be beneficial in project management to better understand processes and lead to efficiency-enhancing improvements. As work in projects becomes increasingly important, this paper presents the different applications of process mining in project management. For this purpose, the current state of research on process mining in the context of project management will be described, based on a systematic literature review. This review shows the different application areas and project focuses of the different research approaches. Furthermore, it gives an overview which tools and algorithms have been used in previous research and which data has been used to create an event log. Overall, despite the literature found and various considerations, a research gap for project management is evident here. T3 - Research Notes on Data and Process Science - 6 KW - Prozessmanagement KW - Data mining Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-3979 SN - 2702-508X IS - 6 SP - 1 EP - 13 ER - TY - JOUR A1 - Starflinger, Verena A1 - Martens, Maren T1 - Best Practices of Circular Business Models – Benefits and Challenges (not only) for German Start-ups JF - Research Notes on Data and Process Science N2 - Circular economy is becoming a buzzword in times where our planetary boundaries are increasingly being exhausted by the extensive extraction of global resources. Although the idea of reusing and recycling products or materials is quite simple and holds many advantages, the transformation towards circular business models imposes many hurdles. This paper gives an overview on the variety of circular business models, before it highlights opportunities and difficulties that companies may experience on their way towards them. It exemplary provides a view onto best practices from three German start-ups, with the aim of spreading awareness of key challenges and benefits. T3 - Research Notes on Data and Process Science - 5 KW - Kreislaufwirtschaft KW - Nachhaltigkeit KW - Geschäftsmodell Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-3918 SN - 2702-508X IS - 5 SP - 1 EP - 11 ER - TY - JOUR A1 - Türkmen, Derya A1 - Schmidtner, Markus A1 - Brueggemann, Ronja A1 - Timinger, Holger T1 - Analysis of inter-organisational project management in the automotive industry JF - Research Notes on Data and Process Science N2 - Collaboration between automotive manufacturers and tier suppliers across company boundaries involves a high degree of complexity. Collaboration is becoming increasingly important in this context, as the focus is on decentralized working through distributed project teams. This leads to new challenges regarding project management in the automotive supply chain. This paper examines the current state of cross-organizational project management in the automotive industry in the literature as well as in practice. T3 - Research Notes on Data and Process Science - 4 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-3795 SP - 1 EP - 11 ER - TY - JOUR A1 - Weber, Stefan A1 - Berg, Simeon A1 - Khelil, Abdelmajid A1 - Lehner, Thomas A1 - Chebaane, Ahmed A1 - Bilgin, Berkin A1 - Ramadani, Kreshnik A1 - Doering, Claudia T1 - Ontology-based Semantic Matching for Technology Transfer JF - Research Notes on Data and Process Science N2 - Recently, Technology Transfer plays a crucial role in transferring knowledge and technologies from academia to the industry and society through a centralized web repository. However, due to the large volume of the data transfer and lack of quality and inconsistency, the search engine may not easily be able to understand the user’s interests that lead to insufficient and inappropriate matching results. This article proposes a novel ontology-based semantic web tool for universities to match collaboration requests to the most suitable available competencies. The proposed tool highly automates the matching process for a timely matching results without sacrificing their quality/accuracy. T3 - Research Notes on Data and Process Science - 3 KW - Wissens- und Technologietransfer KW - Semantic Web KW - Ontology KW - Smart matching Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-3342 SN - 2702-508X IS - 3 SP - 1 EP - 9 ER - TY - JOUR A1 - Timinger, Holger A1 - Schmidtner, Markus A1 - Reiche, Finn T1 - Comparison of different Standards and Norms in Project Management JF - Research Notes on Data and Process Science N2 - Successful project management requires the use of process models that meet the requirements of the respective project context. Such process models can be derived from standards and norms in project management. During the 20th century, traditional, plan-based standards and norms were published by various international organizations such as the Project Management Institute or the International Project Management Association. Today, the variety of approaches includes not only the traditional ones, but also agile project management and hybrid combinations. In this paper, important standards and norms are summarized and compared. Strategies in training, professional application and the design of new procedural models can be derived from the results. T3 - Research Notes on Data and Process Science - 2 KW - Projektmanagement Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-3065 SN - 2702-508X IS - 2 SP - 1 EP - 7 ER - TY - JOUR A1 - Doering, Claudia A1 - Schmidtner, Markus A1 - Maerz, Johanna A1 - Mueller, Vanessa A1 - Timinger, Holger ED - Timinger, Holger ED - Martens, Maren ED - Khelil, Abdelmajid ED - Riemenschneider, Mona T1 - Agile working during COVID-19 pandemic JF - Research Notes on Data and Process Science N2 - In this article, we present the results of a recent study, in which the impact of the pandemic on agile working is examined. Based on these results, we derive a scenario of the future of agile working in a post COVID-19 world. The study comprises an online survey in Germany. More than 170 people working in different job positions and from different branches and companies participated. The study reveals that the pandemic has significantly changed the way of working. However, people value the digital tools and find ways for effective and efficient collaboration in distant work environments. T3 - Research Notes on Data and Process Science - 1 KW - Agile working KW - COVID-19 KW - pandemic KW - project management KW - Covid-19 KW - Projektmanagement KW - Agilität Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-2627 SN - 2702-508X VL - 2020 IS - 1 SP - 1 EP - 27 ER -