FlexiTeam: Flexible Team and Work Organization using Process-Oriented Case-Based Reasoning

During crises such as COVID-19, there is a need to adapt existing work processes and teams to the changing environment in a very flexible and dynamic way in many business and healthcare organizations. In this paper, we conceptualize the advances required for Process-Oriented Case-Based Reasoning to flexibly and dynamically organize human resources in a team and work processes. The novel contributions of this paper include an extended case representation to represent resources, profiles, and key performance indicators (KPIs) of processes, a query definition which covers the "context”, and an overall process to flexibly and dynamically organize work processes and human resources. We evaluate the FlexiTeam process using a cooking recipe casebase and analyze the quality of the retrieval using a quality measure. We also derive the research questions that need to be addressed to fully explore this approach and the specific difficulties involved in solving this problem. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)

The winding road to the Tokyo Olympics: A dynamic approach to the relationships between stress appraisal, coping, performance, and burnout among an artistic swimming team

This study aimed to better understand psychological adaptation processes of elite athletes, and specifically how stress appraisal and coping processes are dynamically interrelated and the extent to which their dynamic relationship is associated with performance and burnout among an artistic swimming team during the qualification phase for the Tokyo 2020 Olympics conducted in summer 2021. Fifteen elite artistic swimmers (Mage = 21 years, SDage = 3 years) completed an online questionnaire once a week measuring perceived stress, stress mindset, individual and collective perception of control, individual and interpersonal coping strategies, performance, and burnout (i.e., 19 time-points, January-May 2021). Results of multilevel analyses showed that (a) mastery coping mediated the association between stress mindset and reduced sense of accomplishment, (b) goal-withdrawal coping mediated the association between stress mindset and negative feelings toward sport, and (c) interpersonal management of emotions mediated the association between collective perception of control and collective performance. This study provides new knowledge about the psychological adaptation processes of elite athletes during the particularly stressful Tokyo 2020 Olympic Games qualification phase. Furthermore, it highlights the need to longitudinally and frequently assess changes in psychological adaptation processes in relation to burnout and performance fluctuations in order to prevent burnout development and a deterioration in individual or team performance, especially in extended challenging situations experienced by elite athletes. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

A COMPARISON OF HOW THE TRANSPORTATION AND LOGISTICS INDUSTRY AND THE AUTOMOTIVE INDUSTRY'S SUPPLY CHAIN PROCESSES HAVE BEEN AFFECTED BY COVID-19 AND HOW ENTREPRENEURIAL COMPETENCIES COULD BE USED TO ADDRESS THEM

Since it has been established that supply chain management has traditionally been a process-oriented field with not much focus on innovation, in a post-pandemic world, engineering managers have realized that research is needed to identify which aspects of global supply chain management have the greatest need for transformation and could benefit most through the application of entrepreneurial competencies. Along those lines, the authors of this paper have earlier proposed a research model, which includes a mapping between supply chain management process steps and entrepreneurial competencies along with proposed training and organizational changes to facilitate the implementation of a more entrepreneurial approach to supply chain management processes. Using a qualitative, grounded theory approach based on two case studies, the authors focus on two industries. The differences and similarities between the two industries will be compared in this paper;thus, showing engineering managers how the model could be applied to the two different industries considered in this paper. Copyright, American Society for Engineering Management, 2022.

Primary school students' perception of process-oriented English assessments conducted during the COVID-19 pandemic

In this study, we applied a model of process-oriented English assessments to primary school students during the COVID-19 pandemic and explored how they perceived it. A series of flexible process-oriented assessments were conducted in the first semester of 2022. A survey was administered to 190 fifth-grade students at the end of the semester. The data were analyzed both quantitatively and qualitatively. The respondents were classified into three categories according to their self-rated English levels. The results show that the students appreciated the assessments, and they highly valued the teacher's feedback. Various opinions were presented on providing opportunities for re-testing, reporting results to parents, writing peer reviews in school records, and mental pressures. The process-oriented assessments were found to be conducive for the majority of the young English learners, although some students from the lower group seemed to have experienced a psychological burden. Based on the findings, suggestions are made for educators in the post-pandemic era. © 2022 The Korea Association of Teachers of English (KATE)

Investigating Synchronous & Asynchronous Feedback in an Elementary School Maker Education Classroom

Providing and receiving feedback is a crucial aspect of K-12 education, and is foundational to building a strong student-educator relationship in project-based learning. Previous research has highlighted the importance of student documentation, thus we study the implementation of a mobile application prototype (CoCreator App) that encourages student documentation along with features for asynchronous educator feedback. We observed and analyzed how educators provided synchronous feedback when conversing in-person with students. Our analysis indicates a variety of differences between synchronous and asynchronous feedback. Asynchronous feedback was typically used for praise and encouragement, but also offered additional opportunities for educators to notice student struggles that may not have been visible in class. Synchronous feedback was largely used to provide process-oriented feedback. Looking ahead as the COVID-19 pandemic prevails, we suggest practices and workflows for maker educators to consider as they provide both synchronous and asynchronous feedback in interdisciplinary (and potentially hybrid) learning environments. © ISLS.

Building Process-Oriented Data Science Solutions for Real-World Healthcare.

The COVID-19 pandemic has highlighted some of the opportunities, problems and barriers facing the application of Artificial Intelligence to the medical domain. It is becoming increasingly important to determine how Artificial Intelligence will help healthcare providers understand and improve the daily practice of medicine. As a part of the Artificial Intelligence research field, the Process-Oriented Data Science community has been active in the analysis of this situation and in identifying current challenges and available solutions. We have identified a need to integrate the best efforts made by the community to ensure that promised improvements to care processes can be achieved in real healthcare. In this paper, we argue that it is necessary to provide appropriate tools to support medical experts and that frequent, interactive communication between medical experts and data miners is needed to co-create solutions. Process-Oriented Data Science, and specifically concrete techniques such as Process Mining, can offer an easy to manage set of tools for developing understandable and explainable Artificial Intelligence solutions. Process Mining offers tools, methods and a data driven approach that can involve medical experts in the process of co-discovering real-world evidence in an interactive way. It is time for Process-Oriented Data scientists to collaborate more closely with healthcare professionals to provide and build useful, understandable solutions that answer practical questions in daily practice. With a shared vision, we should be better prepared to meet the complex challenges that will shape the future of healthcare.

[COVID-19, routine dynamics and reflexivity of structure. On the eventful change of Fridays for Future's protest forms]. / COVID-19, Routinedynamiken und Strukturreflexivität. Zum ereignishaften Wandel der Protestformen von Fridays for Future.

This contribution focuses on the dis/continuity of routines at the onset of the COVID-19 pandemic. The pandemic is conceived as a nexus of multiple, intertwined crises of action and interaction (ÖZS special issue 2016, 41/1). Instead of understanding crisis as an external facticity, i.e., external cause of change, we argue that actors negotiate crisis in sociomaterial processes within historically specific contexts. Taking up the debate in organizational studies on the conception and description of intentional change, this article adds a reflection on intentional routine changes in times of crises. In methodological terms, the article connects routine dynamics with the perspective of eventful sociology. Eventful sociology emphasizes that sociomaterial negotiations of routines can unfold to more far-reaching structural changes and therefore calls for a rigorous temporal description along paths. Based on the results of a process-oriented ethnographic study of Fridays for Future Vienna, the article identifies two conditional moments (normative-discursive and material-bodily) through which structure is made reflexive. Finally, the pursued understanding of reflexivity is embedded in the debate on the (world)risk society.