JSIS December 2024 Issue

[Yolande E. Chan]

I am pleased to present the December 2024 issue of the Journal of Strategic Information Systems (JSIS). See https://www.sciencedirect.com/journal/the-journal-of-strategic-information-systems/vol/33/issue/4. Following my brief introduction, Shan-Ling Pan, Rohit Nishant, Tuure Tuunanen, and Jyoti Choudrie present their editorial - Is AI a strategic IS? They lay out an agenda for research on the strategic nature of artificial intelligence (AI) and raise thought-provoking questions regarding value generation from AI investments.

Their editorial is followed by five articles that all provide carefully crafted reviews of the literature. Topics include cyber defense, physicality in digital innovation, digital transformation in disaster management, AI’s affordances and constraints, and data value.

Kristel M. de Nobrega, Anne-F. Rutkowski, and Carol Saunders review problems that chief information security officers and other cyber professionals face when preventing cyberattacks. They use cybernetic theory to develop cyber defense strategies and propose three strategic cyber defense modes - reactive, heuristic, and proactive.

Lucas Goebeler, Philipp Hukal, and Xiao Xiao develop a conceptualization of physicality grounded in work on the materiality of technology. They describe four different roles of physicality in the digital innovation literature - physicality as subject, vessel, context or nexus of digital innovation.

Diana Fischer-Preßler, Dario Bonaretti, and Deborah Bunker review the literature on IT-enabled and digital initiatives in disaster management (DM). They examine the potential for digital transformation (DT) in the field and create a framework to explain key digital capabilities necessary in DM to implement public-authority or public-driven initiatives. They contrast DT in DM to DT in industry settings.

To comprehend AI’s disruption, Jiaqi Yang, Alireza Amrollahi, and Mauricio Marrone conduct a developmental review of the financial auditing literature. They use Technology Affordance and Constraints Theory to conceptualize AI’s affordances and constraints for individual practitioners, firms, and professional associations within the auditing domain.
They compare these with the affordances and constraints of typical non-AI, classic IT tools, highlighting the disruptive essence of AI.

In the final article of the December 2024 issue, Daisy Xu, Marta Indulska, Ida Asadi Someh, and Graeme Shanks use a comprehensive literature review to conceptualize the role of data into four types: data as a tool, as a commodity, as a practice, and as algorithmic intelligence. They use this typology to explain the complex nature of data use in organizations and different sources of data value. The authors argue for a reassessment of the fundamental assumptions about data in the IS field.

These JSIS literature reviews are thoughtfully conducted and theoretically grounded. They analyze a variety of important, contemporary technology-related phenomena, challenges, and opportunities. The authors present compelling research agendas. I invite you to build on the literature-based foundations their articles provide.

Best wishes,
Yolande

Yolande E. Chan
Dean and James McGill Professor, Desautels Faculty of Management, McGill University
Editor-in-Chief, Journal of Strategic Information Systems

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