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Auflistung BISE 64(4) - August 2022 nach Erscheinungsdatum
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- ZeitschriftenartikelIdentifying Digital Transformation Paradoxes(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Danneels, Lieselot; Viaene, StijnIn turbulent contexts, organizations face contradictory challenges which give rise to management tensions and paradoxes. Digital transformation is one such context where the disruptive potential of digital technologies demands radical responses from existing organizations. While prior research has recognized the importance of coping with organizational paradoxes, little is known about how to identify them. Although it may be apparent in some settings which paradoxes are at play, other more ambivalent contexts require explicit identification. This study takes a design perspective to identify the relevant paradoxes in a digital transformation context. It presents the results of a 2-year action design research study in collaboration with an organization that chose to explicitly focus on paradoxical tensions for managing its digital transformation. The study’s main contribution is twofold: (1) it presents design knowledge to identify organizational paradoxes; (2) it provides a better understanding of the organizational paradoxes involved in digital transformation. The design knowledge will help others to identify paradoxes when working with an organization and highlights dynamic and collaborative aspects of the identification process. The study also enhances the descriptive understanding of digital transformation paradoxes by showing the importance of learning and belonging tensions and by expressing a different view on what knowledge about paradoxes is, and how it is created and used.
- ZeitschriftenartikelCall for Papers, Issue 1/2024(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Lin, Jerry Chun-Wei; Srivastava, Gautam; Zhang, Yu-Dong; Flath, Christoph M.
- ZeitschriftenartikelAn Update for Taxonomy Designers(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Kundisch, Dennis; Muntermann, Jan; Oberländer, Anna Maria; Rau, Daniel; Röglinger, Maximilian; Schoormann, Thorsten; Szopinski, DanielTaxonomies are classification systems that help researchers conceptualize phenomena based on their dimensions and characteristics. To address the problem of ‘ad-hoc’ taxonomy building, Nickerson et al. (2013) proposed a rigorous taxonomy development method for information systems researchers. Eight years on, however, the status quo of taxonomy research shows that the application of this method lacks consistency and transparency and that further guidance on taxonomy evaluation is needed. To fill these gaps, this study (1) advances existing methodological guidance and (2) extends this guidance with regards to taxonomy evaluation. Informed by insights gained from an analysis of 164 taxonomy articles published in information systems outlets, this study presents an extended taxonomy design process together with 26 operational taxonomy design recommendations. Representing an update for taxonomy designers, it contributes to the prescriptive knowledge on taxonomy design and seeks to augment both rigorous taxonomy building and evaluation.
- ZeitschriftenartikelCall for Papers, Issue 3/2024(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Sunyaev, Ali; Fürstenau, Daniel; Davidson, Elizabeth
- ZeitschriftenartikelQuo Vadis Information Systems Research in Times of Digitalization?(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Schütte, Reinhard; Ahlemann, Frederik; Becker, Jörg; Legner, Christine; Lehrer, Christiane; Wiesche, Manuel; Richter, Gérard
- ZeitschriftenartikelGameful Learning for a More Sustainable World(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Hoffmann, Greta; Pfeiffer, JellaMunicipal waste sorting is an important but neglected topic within sustainability-oriented Information Systems research. Most waste management systems depend on the quality of their citizens pre-sorting but lack teaching resources. Thus, it is important to raise awareness and knowledge on correct waste sorting to strengthen current efforts. Having shown promising results in raising learning outcomes and motivation in domains like health and economics, gamification is an auspicious approach to address this problem. The paper explores the effectiveness of gameful design on learning outcomes of waste sorting knowledge with a mobile game app that implements two different learning strategies: repetition and elaboration. In a laboratory experiment, the overall learning outcome of participants who trained with the game was compared to that of participants who trained with standard analogue non-game materials. Furthermore, the effects of two additional, learning-enhancing design elements – repetition and look-up – were analyzed. Learning outcome in terms of long-term retention and knowledge transfer were evaluated through three different testing measures two weeks after the training: in-game, through a multiple-choice test and real-life sorting. The results show that the game significantly enhanced the learning outcome of waste sorting knowledge for all measures, which is particularly remarkable for the real-life measure, as similar studies were not successful with regard to knowledge transfer to real life. Furthermore, look-up is found to be a promising game design element that is not yet established in IS literature and therefore should be considered more thoroughly in future research and practical implementations alike.
- ZeitschriftenartikelVirtual Coaches(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Weimann, Thure Georg; Schlieter, Hannes; Brendel, Alfred Benedikt
- ZeitschriftenartikelIdentifying Competitive Attributes Based on an Ensemble of Explainable Artificial Intelligence(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Lee, YounghoonCompetitor analysis is a fundamental requirement in both strategic and operational management, and the competitive attributes of reviewer comments are a crucial determinant of competitor analysis approaches. Most studies have focused on identifying competitors or detecting comparative sentences, not competitive attributes. Thus, the authors propose a method based on explainable artificial intelligence (XAI) that can detect competitive attributes from consumers’ perspectives. They construct a model to classify the reviewer comments for each competitive product and calculate the importance of each keyword in the reviewer comments during the classification process. This is based on the assumption that keywords significantly influence product classification. The authors also propose an additional novel methodology that combines various XAI techniques such as local interpretable model-agnostic explanations, Shapley additive explanations, logistic regression, gradient-based class activation map, and layer-wise relevance propagation to build a robust model for calculating the importance of competitive attributes for various data sources.
- ZeitschriftenartikelMetaverse: How to Approach Its Challenges from a BISE Perspective(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Peukert, Christian; Weinhardt, Christof; Hinz, Oliver; Aalst, Wil M. P.
- ZeitschriftenartikelLeveraging the Power of Peer Groups for Refugee Integration(Business & Information Systems Engineering: Vol. 64, No. 4, 2022) Förster, Maximilian; Klier, Julia; Klier, Mathias; Schäfer-Siebert, Katharina; Sigler, IrinaRefugee integration, one long-term solution to the large number of people fleeing their home countries, constitutes a challenge for both refugees and host societies. ICT and especially online peer groups seem promising to support this process. Building on literature demonstrating the societal benefits of peer groups, this paper proposes a novel peer-group-based approach to address refugee integration and introduces both an online and offline realization. A randomized field experiment in cooperation with public (refugee) services and a non-governmental organization makes it possible to expand existing research by quantitatively demonstrating societal benefits of online peer groups and ICT for refugee integration. Further, this paper is the first to assess the effectiveness of online and offline peer groups in one experimental setup comparatively. Results show that peer groups provide substantial value with respect to the integration domains social bridges, social bonds, rights and citizenship as well as safety and stability. While the outcome of the various integration domains differs for online and offline peer groups, participants’ adoption rates were higher for online peer groups.