Andreas Hein
Title
Prof. Dr.
Last Name
Hein
First name
Andreas
Email
andreas.hein@unisg.ch
ORCID
Phone
+41 71 224 7839
90 results
Now showing 1 - 10 of 90
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Item type:Publication, Why Industrial Internet of Things Platforms Fail: A Structuration Theory Perspective on Platform Evolution(2026-03-20); Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Logic hybridization in enterprise platforms: Reconfiguring architecture and governance for generative AIEnterprise platforms have historically relied on a logic of determinacy to ensure predictable, reproducible, and auditable system behavior through mutually reinforcing architecture and governance mechanisms. However, generative AI (GenAI) introduces a conflicting logic of probabilistic inference that destabilizes these mechanisms by generating variable, context-dependent, and non-deterministic outputs. As platform owners increasingly integrate GenAI into enterprise platforms, this study draws on assemblage theory and an in-depth case study of Salesforce to examine how enterprise platform owners reconfigure architecture and governance to manage the coexistence of deterministic and probabilistic logics. We develop a process model of logic hybridization that explains how platform owners restore system-level stability while accommodating and regulating probabilistic components. Specifically, we identify four complementary mediation mechanisms, that is, dependency mediation, service mediation, interaction-centric control, and dynamic certification and monitoring, through which platform owners reconfigure architectural and governance arrangements. We further theorize that logic hybridization gives rise to a hybrid platform logic characterized by three emergent properties: boundary fluidity, trust mediation, and expanded generativity. This study contributes to research on enterprise platforms and enterprise system evolution by identifying incompatible system behavior as a new source of platform destabilization, extending theories of platform evolution beyond structural change, and theorizing how deterministic and probabilistic logics coexist under mediated conditions in enterprise platforms.Type:journal articleJournal:Journal of Information Technology - Some of the metrics are blocked by yourconsent settings
Item type:Publication, From questions to insights: how domain-specific semantics boost LLM access to touristic real-time occupancy data(2026-06) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How to Generate Research Impact: A Framework and Checklist for Impact-Aware Information Systems Research(2026) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Navigating Flexibility and Standardisation in Low‐Code/No‐Code DevelopmentLow-code/no-code (LCNC) platforms, such as ServiceNow and Microsoft Power Platform, enable employees without formal IT training to build applications and automate workflows, thus driving agility and reducing dependence on traditional IT teams. However, LCNC platforms also pose a persistent challenge for organisations: while they offer flexibility and freedom by enabling decentralised development, they also require standardisation and control to manage risks that can be exacerbated by these platforms, such as shadow IT and technical debt. Striking the right balance is difficult—too much flexibility can compromise stability, while too much standardisation can stifle the autonomy and creativity that make LCNC platforms valuable in the first place. This study explores flexibility–standardisation tensions in LCNC development through an investigation of two multinational technology firms with differing LCNC maturity levels, both using ServiceNow. Drawing from 57 interviews, we identify three types of flexibility-standardisation tensions shaped by three key elements of LCNC development: the platform itself, the people using the platform and the organisational processes targeted for improvement. We derive six guidelines used to navigate flexibility–standardisation tensions and demonstrate how these are applied across different stages of LCNC maturity. Building on these insights, we provide concrete, context-sensitive recommendations to help organisations adapt the guidelines to their specific environments. We conclude with forward-looking reflections on how firms can dynamically make sense of these tensions as LCNC platforms and practices evolve. Overall, our findings show that effective LCNC governance requires a dynamic approach—one that balances flexibility and standardisation simultaneously rather than treating them as opposing choices.Type:journal articleJournal:Information Systems JournalScopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Organizational data strategy: Unveiling key elements and strategic types(2025-05-06); Helmut KrcmarOrganizations can use data in various ways to create business value. However, many firms struggle to use data as an integral part of their information systems (IS) and business strategies to innovate their business model and increase business value. As approaches for data-based value creation are still nascent or in development, conceptual work reflecting the diversity of data-based value-creation strategies within organizational settings is scarce. Based on a sample of 75 ventures, we develop a data strategy taxonomy to manifest the key characteristics of data-based strategy-making. We use the taxonomy and conduct a cluster analysis to derive four strategic types of data-based value creation: data for efficiency, data for complements, data for niche innovations, and data for attention and market control. Based on an evaluation of 12 firms where we conducted interviews, the four strategic types of data-based value creation provide a more thorough understanding of how organizations strategically integrate data into their business and IS strategy. The “data for attention and market control” strategic type extends classic findings on IS and business strategies arising from the pervasive market power and leadership position derived from data. As a practical implication, our results guide decision-makers to plan, communicate, and seize their data strategy ambitions.Type:journal articleJournal:Journal of Information TechnologyScopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Establishing and governing data ecosystems at the crossroads of centralization and decentralization(Springer Science and Business Media LLC, 2025-07-21); Helmut KrcmarData ecosystems are increasingly central to organizational strategy as they promise to democratize data sharing and enhance sustainability through collaborative models. Grounded in theories of decentralized governance, we examine how these ecosystems evolve from a conceptual decentralized framework to a more centralized operational reality as they mature. Employing an exploratory case study of four data ecosystems, based on 25 interviews and archival data, we investigate the transition within data ecosystems from decentralized emergence to the governance trade-offs necessitated by their expansion and increased complexity. Our findings depict a spectrum of governance adaptations: while some ecosystems develop formal structures that lean towards centralization to facilitate scaling, others maintain their foundational decentralized approach through self-regulation and technology-driven solutions. Our results contribute to the theoretical understanding of the dynamic governance within data ecosystems, revealing the processual nuances of balancing decentralization with operational centralization. This has implications for practitioners who must design flexible governance mechanisms capable of navigating between decentralized ideals and the centralizing demands of ecosystem growth and complexity.Type:journal articleJournal:Electronic MarketsVolume:35Issue:1Scopus© Citations 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Roles and Requirements for Effective Knowledge Exchange in an IT Company’s Academic Ecosystem: Insights from Modeling the SAP University Alliances Ecosystem(2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The role of information systems in emergency department decision-making—a literature review(2024); Helmut KrcmarObjectives Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED. Materials and methods We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs’ timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes. Results Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes. Discussion Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation. Conclusion We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.Type:journal articleJournal:Journal of the American Medical Informatics AssociationScopus© Citations 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Self-Organization and Governance in Digital Platform Ecosystems: An Information Ecology Approach(MIS Quarterly, 2024-08); Scopus© Citations 26