Track Co-Chairs
Aron Lindberg, Ph.D., Stevens Institute of Technology
Wendy L. Currie, Ph.D., Audencia Business School
Juan Feng, Ph.D., Tsinghua University

Track Description
This research track is dedicated to exploring how generative AI systems are deployed across organizations, communities, networks and in public and private spaces, both online and offline, and the impacts of such deployments on a variety of important outcomes such as business models, organizational learning, creativity, innovation, equity, human and machine agency, organizing structures and processes, etc. The track offers scholars an opportunity to explore the complexities of generative AI technologies and the diverse socio-political and economic consequences and outcomes of deployment. Authors are encouraged to focus on a variety of significant outcomes, extending beyond the effectiveness of generative AI systems for developers and adopting corporations. We seek insights into the broad implications from stakeholders including consumers, employees, and policymakers.
Schedule

2025
Sunday, December 14th

A Better Matchmaker? The Impact of GenAI on Matching Efficiency in Online Labor Markets

Jie Ren, University of Melbourne
Li Ding, Nanyang Technological University
Jiayu Yao, Nanyang Technological University

AI as A Scapegoat: Impact of Blame-shifting Behavior of Human Agents in Hybrid Service System

Junhang Chen, Xiamen University
Cenying Yang, City University of Hong Kong
Xin Fu, School of management

AIGC on Marketing: A Theory-driven Design System and Empirical Evaluation

Bruce Yang, NUS
Junjing Huang, NUS
Xiaofan Li, NUS
Dandan Qiao, NUS

Augmented or Overloaded? Exploring Cognitive Fit and GenAI Reliance in Decision Making

Sethu Das, University of Alabama
Amrita George, Georgia State University

Bias Mitigation in Large Language Models: Streamed Correction of Chain-of-Thought

Junyi Liu, National University of Singapore
Stanley Kok, National University of Singapore

Confirmation Bias in Human-AI Interactions

Mohneesh Hinduja, University of St.Gallen
Philipp Ebel, University of St. Gallen
Edona Elshan, Vrije University Amsterdam
Dominik Siemon, LUT University
Triparna de Vreede, University of South Florida
Gert-Jan de Vreede, Stevens Institute of Technology

Cost Reduction at the cost of Innovation Incentives? Market entry and competition under Generative AI in digital worlds

Kaiwen Bao, National University of Singapore
Xiaofan Li, NUS

Dynamic Attention Mechanism for Robot Video Anomaly Detection

Victor Benjamin, Arizona State University

Exposure, Readiness, and Firm Valuation of Generative AI

Haonan Yin, University of California, Irvine
Sanjeev Dewan, Universiry of California, Irvine
Fei Ren, Peking University

From Predictive to Generative AI: Exploring Algorithm Aversion vs. Appreciation

Zhanfei Lei, University of Massachusetts Amherst
Dezhi Yin, University of South Florida
Han Zhang, Georgia Institute of Technology

From Referentiality to Functionalism: A New Logic for Theorizing Data in the Age of Generative AI

Tomislav Karačić, London School of Economics
Marta Stelmaszak, University of Massachusetts Amherst

GenAI Improves Decision-Making: Revealing the Debiasing Capabilities of ChatGPT

Marc Wyszynski, University of Bremen
Jan Westermann, University of Bremen
Sebastian Weber, University of Bremen
Björn Niehaves, University of Bremen

Generative Artificial Intelligence and Large Language Models – A Trustworthiness Process Model

Sarah Kristin Lier, Information Systems Institute, Leibniz Universität Hannover
Leon Nowikow, Information Systems Institute, Leibniz University Hannover
Michael H. Breitner, Information Systems Institute, Leibniz University Hannover

Glocalization in The AI Era: How Synthetic Data Bridges Technical and Cultural Divides

Suranjeet Chowdhury Avik, Mississippi State University

(How) Can LLMs Enhance Privacy Research?

Xiang Cheng, University of Maryland, College Park
Wen Wang, University of Maryland, College Park

Human-AI Collaboration for Organizational Transformation through Generative Infrastructure Design

Hardik Gohel, University of Houston Victoria
Maulin Raval, University of Houston
Yun Wan, University of Houston - Victoria

Human-LLM Deliberation as an Interactive Zero-knowledge Proof Protocol

Baotong Zhang, New York University
João Sedoc, New York University

Identifying and Assessing Organizational Use Cases for Generative AI: A Procedure Model

Constantin von Brackel-Schmidt, University of Hamburg
Stephan Leible, University of Hamburg
Marina Hartig-Thiemann, Capgemini

Impact of a Deployed LLM Survey Creation Tool through the IS Success Model

Peng Jiang, SurveyMonkey
Vinicius Monteiro de Lira, SurvyMonkey
Antonio Maiorino, SurvyMonkey

Individualized Value Discovery using LLMs for Short Video Recommendation

Kejun Chen, Tsinghua University
Shuchang Liu, Kuaishou Technology
Jiayin Zhang, Tsinghua University
Zhitao Yin, Hong Kong University of Science and Technology
Yandong Bai, Kuaishou Technology
Xin Li, City University of Hong Kong
Sean Xin Xu, Tsinghua University
Qing Yu, Kuaishou Technology
Xiang Li, Kuaishou Technology

Large Language Models in Academia: Boosting Productivity but Reinforcing Inequality

YoungJin Kwon, University of Minnesota
Agnes Yang, University of Minnesota

Large Language Models: Already Commoditized or Still Technological Edge? – A Financial Market Perspective

Adrian Pucher, Technical University of Darmstadt
Dirk Schiereck, Technical University Darmstadt

LLMs: Leveling the Field or Amplifying Elitism?

Xu Yang, School of Information Systems, Singapore Management University
Nan Hu, Singapore Management University

Making Sense of Open-Source Generative AI Models: A Taxonomy and Archetypes

Lorenzo Diaferia, SDA Bocconi School of Management
Leonardo Maria De Rossi, Sda Bocconi School of Management
Aakanksha GAUR, SDA Bocconi School of Management

Market Design Interventions for Safer Agentic AI

Swapneel Mehta, Boston University
Aaron Nichols, Boston University
Nina Mazar, Boston University
Marshall Van Alstyne, Boston University

Same Same but Different: Evaluating Hate Speech Detoxification through an LLM-based Agentic Framework

Thuy Linh (Isabella) Phan, The University of Queensland
James Boyce, The University of Queensland
Hetiao (Slim) Xie, The University of Queensland
Morteza Namvar, The University of Queensland
Marten Risius, University of Applied Sciences Neu-Ulm

Should News Organizations Share Data with Generative AI?

Minjie Han, University of Rochester
Jinyang Zheng, University of Rochester
Huaxia Rui, University of Rochester

Socratic Iterative Reasoning: Enhancing LLM Decision-Making in the Beer Game Supply Chain

Leonard Boussioux, University of Washington
Andrew Chen, University of Washington
Ming Fan, University of Washington
Apurva Jain, University of Washington

Software Generation With LLMs: Privacy, Utility, and Cybersecurity Tensions

Wenqi Wei, Fordham University
Xiang Li, Fordham University
Hüseyin Tanriverdi, University of Texas at Austin

Spillover and Compensation in Relationships: Mutual Influence Between Humans and Conversational Agents

Laura Bayor, University of Bamberg
Christoph Weinert, University of Bamberg
Christian Maier, University of Bamberg
Tim Weitzel, University of Bamberg

The Economics of Marketplaces for User-Generated Custom GenAI Services: Implications for General-Purpose Service Quality and Profitability

Chunyan Yu, Tsinghua University
Meilin Gu, Arizona State University
Pei-yu Chen, ARIZONA STATE UNIVERSITY
Dengpan Liu, Tsinghua

The Impact of Generative AI Hallucination on Coding Performance: The Moderating Role of Expertise and Group Dynamics

Faiz Currim, University of Arizona
Karthik Srinivasan, University of Kansas
Arvind Tripathi, University of Kansas

The Impact of Information Gap on Content Popularity Concentration on Social Media: The Case of Generative AI

Qian Wang, The University of Texas at San Antonio
Bingyi Wu, California Polytechnic State University-San Luis Obispo
Rohit Valecha Valecha, University of Texas at San Antonio
H Raghav Rao, University of Texas at San Antonio

The Role of GenAI Conversation Style in Satisfaction and Competence Perceptions

Celina Brils, TU Dortmund University
Julie Saesen, TU Dortmund University
Steffen Strese, TU Dortmund University

“Think About an LLM Like a Toddler”: Information Quality in Large Language Models’ Outputs

Marta Stelmaszak, University of Massachusetts Amherst
Yue Xue, University of Massachusetts Amherst
Monideepa Tarafdar, University of Massachusetts Amherst
Aleksi Aaltonen, Stevens Institute of Technology

Trusting Generative AI-based Conversational Agents: The Role of Anthropomorphism and Transparency as Trust Signals

Gabriel Bliss, TU Dortmund University
Tessa Flatten, TU Dortmund University

Understanding the Impact of Generative AI on Professional Judgement

Sung Hwan Chai, Alliance Manchester Business School
Brian Nicholson, Alliance Manchester Business School
George Salijeni, Aston Business School
Leonid Sokolovskyy, Alliance Manchester Business School

When AI Joins the Brainstorm: Impacts of Generative Language Models on Collaborative Divergent Thinking

Jérémy Alain La Scala, École Polytechnique Fédérale de Lausanne
Manon Berney, Institute for Information Management
Denis Gillet, EPFL
Adrian Holzer, University of Neuchâtel

When AI Writes the Code: Trust and Community Cohesion in Open Source software Development

Munsif Sokiyna, The University of Alabama
Anne Herfurth, The University of Alabama
Sethu Das, University of Alabama
Pratyush Sharma, The University of Alabama

Whodunit? Ownership and User Experience in Co-Creation with Generative AI

Bhavika Sharma, Technical University of Darmstadt
Maren Mehler, Technical University of Darmstadt

Why Generative AI Isn’t Formalized (Yet): Socio-Technical Barriers to Top Down Organizational Implementation

Maayan Cohen, Tel Aviv University
Lior Zalmanson, Tel Aviv University

Workplace Surveillance in the Age of Generative AI Platforms

Joel Jose Rivera Jimenez, Università Cattolica di Milano
Marco Marabelli, Bentley University
Jeffrey Proudfoot, Bentley University