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<p>The rapid convergence of disruptive technologies such as AI and big data has profoundly transformed the Information Systems (IS) discipline over the past decade (2015–2025). This transformation is fundamentally redefining the discipline’s intellectual boundaries. To rigorously analyze this evolution, this study integrates bibliometric analysis with a Generative AI-augmented Theory, Construct, Context, and Method (TCCM) framework. This study examines 1,039 articles from Information Systems Frontiers (ISF) published between 2015 and 2025, benchmarking them against MIS Quarterly (MISQ) and the International Journal of Information Management (IJIM). Large language models (LLMs) were employed to perform a scalable, structural classification. The results reveal that ISF has successfully established a “dual-core” strategic niche, balancing the theoretical depth of MISQ with the market breadth of IJIM. Consequently, ISF has become a leading platform for discussions on Ethical AI and algorithmic bias. Furthermore, the TCCM analysis suggests a paradigm shift in ISF scholarship. The discipline is transitioning from a focus on technology adoption toward socio-technical co-evolution. Core theoretical frameworks are experiencing ontological pressure from AI agents. Knowledge accumulation has stagnated at a descriptive level across multiple dimensions. To support this transition, the study presents a diagnostic framework that maps these structural tensions. It also advances a research agenda oriented toward AI-native theory construction.</p>

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A Decade of Technological Advancements in Information Systems Frontiers (2015–2025): Emerging Trends, Dominant Topics, and Future Directions

  • 期刊论文

  • 发表日期：

    2026年7月8日

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  • Jui-Hung Chang,
  • Chin-Feng Lai,
  • Chia-Lun Huang,
  • Hua-Xu Zhong

摘要

The rapid convergence of disruptive technologies such as AI and big data has profoundly transformed the Information Systems (IS) discipline over the past decade (2015–2025). This transformation is fundamentally redefining the discipline’s intellectual boundaries. To rigorously analyze this evolution, this study integrates bibliometric analysis with a Generative AI-augmented Theory, Construct, Context, and Method (TCCM) framework. This study examines 1,039 articles from Information Systems Frontiers (ISF) published between 2015 and 2025, benchmarking them against MIS Quarterly (MISQ) and the International Journal of Information Management (IJIM). Large language models (LLMs) were employed to perform a scalable, structural classification. The results reveal that ISF has successfully established a “dual-core” strategic niche, balancing the theoretical depth of MISQ with the market breadth of IJIM. Consequently, ISF has become a leading platform for discussions on Ethical AI and algorithmic bias. Furthermore, the TCCM analysis suggests a paradigm shift in ISF scholarship. The discipline is transitioning from a focus on technology adoption toward socio-technical co-evolution. Core theoretical frameworks are experiencing ontological pressure from AI agents. Knowledge accumulation has stagnated at a descriptive level across multiple dimensions. To support this transition, the study presents a diagnostic framework that maps these structural tensions. It also advances a research agenda oriented toward AI-native theory construction.