Several AMCIS tracks focus on the uses of digital and information technologies in decision making. This track returns to the fundamentally important Strategic and Competitive Uses of Information and Digital Technologies (SCUIDT). The Information Age ushered in the use of information and digital technologies as a means of generating business value and gaining competitive advantage. Indeed, for many businesses today, success depends upon appropriate tactical and strategic uses of their information and digital technologies. The need for speed, efficiency, agility, and mobility continues to place information and digital technologies at the forefront of organizational strategies and tactics. Complementing this demand, is an increased interest in artificial intelligence (AI) and big data analytics, requiring organizations to consider the competitive implications of the data to which they have access. Submissions to the Strategic & Competitive Uses of Information and Digital Technologies track may include complete papers and research-in-progress (ERF). Papers may be conceptual, theoretical, or empirical research. Any research that focuses on the strategic and competitive use of information and digital technologies (SCUIDT) will find a home in this track.

Track Chairs
Russell Torres, University of North Texas, russell.torres@unt.edu
Parisa Aasi, Texas A & M, paasi@mays.tamu.edu
Vess Johnson, University of North Texas, vess.johnson@unt.edu
Jack Becker, University of North Texas, jack.becker@unt.edu

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Schedule
2026
Saturday, August 15th
12:00 AM

AI Advertising and Seller Innovation: The Asymmetric Role of Prior Experience

Bongjin Sohn, Korea University Business School
Sang Pil Han, Arizona State University
Gunwoong Lee, Korea University Business School

12:00 AM

12:00 AM

Enhancing Manufacturing Knowledge Discovery: Heuristic Data Preparation Framework

Florian Hochkamp, TU Dortmund University
Michael Homuth, Independent Researcher
Hendrik van der Valk, TU Dortmund University

12:00 AM

12:00 AM

Scale or Validity? Measuring Competitive Moves with Validated LLM Coding

Lucas Carassato Fernandes Brites, Louisiana State University
Gabriele Piccoli, Lousiana State University
Joaquin Rodriguez, Grenoble Ecole de Management
Sun Tae Kim, Lehigh University

12:00 AM

12:00 AM

Strategic Use of ESG Information Under Turbulence: Evidence from the IT Sector

Fellipe Martins, Mackenzie Presbyterian University
Wanderley da Silva Junior, Universidade Nove de Julho
Jamile Sabatini-Marques, Brazilian Association of Software Companies
Claudio Luis Carvalho Larieira, Mackenzie Presbyterian University

12:00 AM

12:00 AM

The Cost of AI Washing: Regulatory Spillovers to Crypto Markets

Yuan Zhang, Auburn University at Montgomery
Ankita Damani, Auburn University at Montgomery

12:00 AM

12:00 AM

The Trainer’s Dilemma: Operational Investment and Competitive Subsidization in Generative AI Platforms

Jingyun Hu, Department of Business Analytics and Information Systems

12:00 AM

12:00 AM

When Personalization Expands Markets: Evidence from a Field Experiment on Serialized Content

Bongjin Sohn, Korea University Business School
Antino Kim, Indiana University
Gunwoong Lee, Korea University Business School

12:00 AM