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  • Zeitschriftenartikel
    Dark Patterns
    (Business & Information Systems Engineering: Vol. 65, No. 2, 2023) Kollmer, Tim; Eckhardt, Andreas
  • Zeitschriftenartikel
    Mastering Agile Practice Adoption through a Model-Driven Approach for the Combination of Development Methods
    (Business & Information Systems Engineering: Vol. 65, No. 2, 2023) Giachetti, Giovanni; la Vara, José Luis; Marín, Beatriz
    Many software companies are adapting their traditional development processes to incorporate agile practices. In this context, it is necessary to count on expert knowledge to evaluate different agile practices and configure them according to project needs. However, this expert knowledge is scarce, difficult to validate, and time-consuming, since it is applied manually. As a solution, the paper presents a model-driven approach, called SIAM, which automatically generates guidelines for the adoption of agile practices through the combination of different development methods. SIAM is supported by a meta-model architecture to implement a knowledge repository that characterizes method configuration decisions, which can be reused in different development projects. SIAM has been implemented in a tool suite that facilitates the specification of models and the identification of issues during the definition of the development processes. The approach has been successfully applied to reconfigure an industrial development process with agile methods, showing that the effort required for tailoring agile practices according to organizational standards is considerably reduced.
  • Zeitschriftenartikel
    Interview with Samuel Tschepe on “Quo Vadis Design Thinking?"
    (Business & Information Systems Engineering: Vol. 65, No. 2, 45017) Hawlitschek, Florian
  • Zeitschriftenartikel
    Welcome to the Era of ChatGPT et al.
    (Business & Information Systems Engineering: Vol. 65, No. 2, 2023) Teubner, Timm; Flath, Christoph M.; Weinhardt, Christof; Aalst, Wil; Hinz, Oliver
  • Zeitschriftenartikel
    Self-reporting Limitations in Information Systems Design Science Research
    (Business & Information Systems Engineering: Vol. 65, No. 2, 45017) Barata, João; Cunha, Paulo Rupino; Figueiredo, António Dias
    Besides increasing transparency and demonstrating awareness of the author, self-reported limitations enable other researchers to effectively learn from, build on, validate, and extend the original work. However, this topic is understudied in information systems design science research (IS DSR). The study has assessed 243 IS DSR papers published in the period 2013–2022 and built a typology of the 19 most relevant limitations, organized into four categories: (1) Input Knowledge and Technology, (2) Research Process, (3) Resulting Artifact, and (4) Design Knowledge. Further, the contribution suggests actions to mitigate each type of limitation throughout the entire IS DSR project lifecycle. The authors have also created guidelines to report the limitations in a useful way for knowledge accumulation. The proposed typology and guidelines enable reviewers and editors to better frame self-reported limitations, assess rigor and relevance more systematically, and provide more precise feedback. Moreover, the contribution may help design researchers identify, mitigate, and effectively communicate the uncertainties inherent to all scientific advances.
  • Zeitschriftenartikel
    Uses of Information Systems to Develop Trust in Family Firms
    (Business & Information Systems Engineering: Vol. 65, No. 2, 45017) Lissillour, Raphael; Sahut, Jean Michel
    The family business literature has not addressed the role of information systems (IS) in the development of trust in family businesses. Through an in-depth analysis of a Chinese industrial family business in Qingdao, this study shows how several IS contribute to trust within the organization. Trust is conceptualized according to three dimensions, namely interpersonal trust, competence trust, and systems trust. Three main IS have been identified in the organization, namely WeChat, DingTalk, and the Enterprise Resource Planning system (ERP). This exploratory study analyzed how eight departments use these IS to understand which institutional logic is embedded within each IS. Each information system is conceptualized as embedded in a specific institutional logic which is not neutral in terms of trust building. These findings highlight the fact that Chinese executives use specific information systems to develop trust. ERP (here SAP) has a specific inherent institutional logic, namely rational managerialism, which contributes to system trust. Social media such as WeChat and DingTalk are embedded in their own institutional logic which makes them more adapted to specific activities. Unlike rational managerialism, the institutional logic associated with WeChat includes a strong focus on interpersonal communication, cooperation and problem-solving. WeChat is associated with the development of interpersonal trust whereas rational managerialism is rather associated with transparence and formality, thus unsuitable for developing interpersonal trust. Chinese executives use WeChat to create an informal and dynamic social space which promotes the development of stronger social ties with each other. DingTalk is associated with another logic which promotes formal information sharing, reliability and internal management. This information system contributes to the development of another type of trust, namely competence trust. The two social media contribute to sustaining interpersonal trust and competence-based trust which are critical in the development stage of a family business. Findings also show that family members need to create a forum without their presence for employees to exchange freely, thus creating a space in which trust can blossom. This paper concludes with theoretical contributions and implications for practitioners.
  • Zeitschriftenartikel
    AI-Enhanced Hybrid Decision Management
    (Business & Information Systems Engineering: Vol. 65, No. 2, 2023) Bork, Dominik; Ali, Syed Juned; Dinev, Georgi Milenov
    The Decision Model and Notation (DMN) modeling language allows the precise specification of business decisions and business rules. DMN is readily understandable by business users involved in decision management. However, as the models get complex, the cognitive abilities of humans threaten manual maintainability and comprehensibility. Proper design of the decision logic thus requires comprehensive automated analysis of e.g., all possible cases the decision shall cover; correlations between inputs and outputs; and the importance of inputs for deriving the output. In the paper, the authors explore the mutual benefits of combining human-driven DMN decision modeling with the computational power of Artificial Intelligence for DMN model analysis and improved comprehension. The authors propose a model-driven approach that uses DMN models to generate Machine Learning (ML) training data and show, how the trained ML models can inform human decision modelers by means of superimposing the feature importance within the original DMN models. An evaluation with multiple real DMN models from an insurance company evaluates the feasibility and the utility of the approach.
  • Zeitschriftenartikel
    Algorithmic Fairness in AI
    (Business & Information Systems Engineering: Vol. 65, No. 2, 2023) Pfeiffer, Jella; Gutschow, Julia; Haas, Christian; Möslein, Florian; Maspfuhl, Oliver; Borgers, Frederik; Alpsancar, Suzana
  • Zeitschriftenartikel
    User-Centered Requirements for Augmented Reality as a Cognitive Assistant for Safety-Critical Services
    (Business & Information Systems Engineering: Vol. 65, No. 2, 45017) Bräker, Julia; Osterbrink, Anna; Semmann, Martin; Wiesche, Manuel
    Augmented reality (AR) is widely acknowledged to be beneficial for services with exceptionally high requirements regarding knowledge and simultaneous tasks to be performed and are safety-critical. This study explores the user-centered requirements for an AR cognitive assistant in the operations of a large European maritime logistics hub. Specifically, it deals with the safety-critical service process of soil sounding. Based on fourteen think-aloud sessions during service delivery, two expert interviews, and two expert workshops, five core requirements for AR cognitive assistants in soil sounding are derived, namely (1) real-time overlay, (2) variety in displaying information, (3) multi-dimensional tracking, (4) collaboration, and (5) interaction. The study is the first one on the applicability and feasibility of AR in the maritime industry and identifies requirements that impact further research on AR use in safety-critical environments.
  • Zeitschriftenartikel
    Statements on the Contribution by Grisold et al. from Issue 2/2022
    (Business & Information Systems Engineering: Vol. 65, No. 2, 2023) Weinhardt, Christof; Gräbe, Hans-Gert; Laue, Ralf; Grisold, Thomas; Groß, Steven; Stelzl, Katharina; Brocke, Jan vom; Mendling, Jan; Röglinger, Maximilian; Rosemann, Michael