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BISE 66(1) - February 2024

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  • Zeitschriftenartikel
    Challenges and Outcomes Using Big Data as a Service
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) Srivastava, Gautam; Flath, Christoph M.; Lin, Jerry Chun-Wei; Zhang, Yu-Dong
  • Zeitschriftenartikel
    A Study on the Usage of the BPMN Notation for Designing Process Collaboration, Choreography, and Conversation Models
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) Compagnucci, Ivan; Corradini, Flavio; Fornari, Fabrizio; Re, Barbara
    Being widely accepted by industries and academia, Business Process Model and Notation (BPMN) is the de facto standard for business process modeling. However, the large number of notation elements it introduces makes its use quite complex. This work investigates the usage of the BPMN notation by analyzing 54,500 models harvested from seven online collections. The study considers different model types introduced by the standard, such as process collaboration, choreography, and conversation. The analyses focus on the syntactic dimension of BPMN, investigating the usage of BPMN elements and their combinations. Syntactic violations of the standard, and of good modeling practices, are also investigated as well as possible relations with BPMN elements and modeling tools. The results of the study can guide further activities of educators, practitioners, researchers, and standardization bodies.
  • Zeitschriftenartikel
    Dynamic Circular Network-Based Federated Dual-View Learning for Multivariate Time Series Anomaly Detection
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) Zhang, Weishan; Wang, Yuqian; Chen, Leiming; Yuan, Yong; Zeng, Xingjie; Xu, Liang; Zhao, Hongwei
    Multivariate time-series data exhibit intricate correlations in both temporal and spatial dimensions. However, existing network architectures often overlook dependencies in the spatial dimension and struggle to strike a balance between long-term and short-term patterns when extracting features from the data. Furthermore, industries within the business community are hesitant to share their raw data, which hinders anomaly prediction accuracy and detection performance. To address these challenges, the authors propose a dynamic circular network-based federated dual-view learning approach. Experimental results from four open-source datasets demonstrate that the method outperforms existing methods in terms of accuracy, recall, and F1_score for anomaly detection.
  • Zeitschriftenartikel
    Business Process Performance
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) Ahmad, Tahir; Van Looy, Amy; Shafagatova, Aygun
    Considering humans are involved in business process activities, process-oriented appraisals and rewards (POAR) can help stimulate process outcomes. Given a lack of knowledge about the intersection between business process management (BPM) and human resource management (HRM), the authors delve into POAR. The study starts from the theoretical capabilities of BPM and then follows a mixed-method design to develop rich and substantive evidence for successful POAR implementations. Empirical data was collected by ten case organizations experienced in POAR, and a survey with 403 higher-level managers across four continents. From the case data, diverse perspectives have emerged on the supporting capabilities for POAR and especially their interrelationships. Additionally, statistical evidence shows a decisive role of POAR in affecting process performance. While all BPM-specific capabilities seem to matter for POAR, only some also contribute to process performance through POAR. Novelty in the work resides in producing a POAR-based process performance model.
  • Zeitschriftenartikel
    Model-to-Model Transformation
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) León, Ana; Santos, Maribel Yasmina; García, Alberto; Casamayor, Juan Carlos; Pastor, Oscar
    Conceptual schemas are the basis to build well-grounded Information Systems, by representing the main concepts of a domain of knowledge, as well as the relationships among them. Since conceptual schemas focus on the concepts, they are independent of the specific technological platform used to implement them. This allows a single conceptual schema to be transformed into different platform-specific models according to the implementation requirements. This is a non-trivial process that is crucial for the performance and maintainability of the system, as well as for the accomplishment of the domain data requirements. Much research has been done on transforming conceptual schemas into relational data models. Nevertheless, less work has been done on transforming conceptual schemas into property graphs, a data structure indispensable to building appropriate and efficient systems based on graph databases. The work proposes a systematic approach to transform conceptual schemas, represented as UML class diagrams, into property graphs by using a set of transformation rules and patterns applied in a systematic way. Besides a practical example used to help the presentation of the proposed approach, the evaluation has been done by measuring different quality dimensions such as semantic equivalence, readability, maintainability, complexity, size, and performance.
  • Zeitschriftenartikel
    Financing Decisions and the Role of CSR in Donation-Based Crowdfunding
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) Usman, Sardar Muhammad; Bukhari, Farasat Ali Shah; Zubair, Muhammad; You, Huwei; Shahzad, Farrukh; Khan, Muhammad Attique
    Donation-based crowdfunding and corporate social responsibility (CSR) activities have potential symbiotic ramifications to raise funds, but campaigners are confronted with challenges and competition to accomplish their charitable target. For instance, CSR activities could warrant the possibility of using crowdfunding to raise money. On the other hand, a company's CSR objectives can be achieved by using crowdfunding to micro-fund various social initiatives. Current research investigates the relationship between fundraisers in donation-based crowdfunding activities, which become potential CSR activities. Exclusively, the study analyzes the correlation among the value raised at the end of fundraising activity, the amounts targeted by the fundraiser, and CSR-Type activities on the project's success in donation-based crowdfunding. Based on this, a research taxonomy has been established for a comparative analysis between Pakistan and Indonesia. Secondary data is collected from donation-based platforms and analyzed through Ordinary Least Square (OLS) regression and the models are validated using a robustness check. The outcomes show that a higher value raised (V) correlates more positively with project success in Pakistan (164) as compared with Indonesia (122). The Target fund (T) has a significant and negative association with the project's success in the Pakistani market, however, the significant and negative effect on the project’s success in the Indonesian market. Lastly, CSR-related activities such as education, environment, community, and health have a positive relationship with project success in Pakistan, except for the product which has a negative, however significant relationship. In contrast, for Indonesia, CSR-type activities such as education, environment, community, product, and health have a positive and significant relationship with the project's success. This study contributes to the donation-based crowdfunding literature to develop a vivid understanding of different CSR activities and their impact on the project's success. The current study is one of the first to examine the significance of CSR activities and will enrich the body of knowledge regarding crowdfunding in diverse economies.
  • Zeitschriftenartikel
    Generative AI
    (Business & Information Systems Engineering: Vol. 66, No. 1, 2024) Feuerriegel, Stefan; Hartmann, Jochen; Janiesch, Christian; Zschech, Patrick