March 29-31, 2024

The University of Texas at Dallas

Biz AI Conference:

AI in Business
Research

Panel: AI use in Business Research

The following editorial board members will be on the panel and share their views on the AI work they would like to see in their journals:

  • Prof. Ahmed Abbasi, SE, ISR
  • Prof. Hemant Bhargava, DE, Management Science
  • Prof. K. Sudhir, ex-EIC, Marketing Science
  • Prof. Maytal Saar-Tsechansky, SE, MISQ
  • Prof. Olivier Toubia, EIC, Marketing Science
  • Prof. Suprateek Sarker, EIC, ISR

Papers

Session 1a: AI and Content Creation Platforms Session 1b: Advancing AI Methodologies and Applications in Diverse Contexts
Location: 1.107, Jindal School of Management
Session Chair: Dr. Jinyang Zheng

Price Generative AI or Keep It Free?
Di Yuan, Manmohan Aseri, Vibhanshu Abhishek, Kartik Hosanagar

Generative AI and Content-Creator Economy: Evidence from Online Content Creation Platforms
Anindya Ghose, Hongxian Huang, Runshan Fu

The Web’s Great Conversation: Search Engine Ranking in the Age of Generative AI
Lijia Ma, Xingchen Xu, Yong Tan

Winning Strategies of Experienced Designers in a Crowdsourcing Platform: Investigating Recombinant Innovations
Mikhail Lysyakov, Siva Viswanathan

Unintended Consequences of Generative AI-Based Virtual Livestreamers in Livestream Shopping
Si Xie, Amit Mehra, Siddhartha Sharma
Location: 1.110, Jindal School of Management
Session Chair: Dr. Yifan Yu

Interpretable Text Embedding via Generative AI Models
Kunpeng Zhang, Sean Xin Xu, Xuewen Han

Privacy-Aware Context-Aware Recommender Systems
Moshe Unger, Or Zuckerman

Leveraging Human Attention into Machine Attention Mechanism for Classification
Ahmed Abbasi, Avichay Chriqui, Dov Te'eni, Inbal Yahav

Modeling Behavioral Dynamics in Digital Content Consumption: An Attention-Based Neural Point Process Approach with Applications in Video Games
Zisu Wang, Junming Yin, Yong Liu, Yue (Katherine) Feng

Using Reinforcement Learning for Model Discovery
Kai Sun, Wangsheng Zhu, and Vijay Mookerjee
Session 1a: AI and Content Creation Platforms
Location: 1.107, Jindal School of Management
Session Chair: Dr. Jinyang Zheng

Price Generative AI or Keep It Free?
Di Yuan, Manmohan Aseri, Vibhanshu Abhishek, Kartik Hosanagar

Generative AI and Content-Creator Economy: Evidence from Online Content Creation Platforms
Anindya Ghose, Hongxian Huang, Runshan Fu

The Web’s Great Conversation: Search Engine Ranking in the Age of Generative AI
Lijia Ma, Xingchen Xu, Yong Tan

Winning Strategies of Experienced Designers in a Crowdsourcing Platform: Investigating Recombinant Innovations
Mikhail Lysyakov, Siva Viswanathan

Unintended Consequences of Generative AI-Based Virtual Livestreamers in Livestream Shopping
Si Xie, Amit Mehra, Siddhartha Sharma

Session 1b: Advancing AI Methodologies and Applications in Diverse Contexts
Location: 1.110, Jindal School of Management
Session Chair: Dr. Yifan Yu

Interpretable Text Embedding via Generative AI Models
Kunpeng Zhang, Sean Xin Xu, Xuewen Han

Privacy-Aware Context-Aware Recommender Systems
Moshe Unger, Or Zuckerman

Leveraging Human Attention into Machine Attention Mechanism for Classification
Ahmed Abbasi, Avichay Chriqui, Dov Te'eni, Inbal Yahav

Modeling Behavioral Dynamics in Digital Content Consumption: An Attention-Based Neural Point Process Approach with Applications in Video Games
Zisu Wang, Junming Yin, Yong Liu, Yue (Katherine) Feng

Using Reinforcement Learning for Model Discovery
Kai Sun, Wangsheng Zhu, and Vijay Mookerjee

Session 2a: Strategic Applications of Large Language Models (LLMs): Enhancing Performance and Insights Across Domains Session 2b: Algorithmic Bias and Interpretability
Location: 1.107, Jindal School of Management
Session Chair: Dr. Manmohan Aseri

Can LLM Usage Promote Greater Equity? Evidence from Online Consumer Activism Petitions
Piyush Anand, Yanqing Gui, Vrinda Kadiyali

AI and AI-human based Salesforce Hiring using Conversational Interview Videos
Howard Dover, Ishita Chakraborty, K. Sudhir, Khai Chiong

Can GPT-4 Teach Lesser LLMs? - Automated Prompt Tuning for Conversational AI
Tong Wang, K. Sudhir, Dat Hong

Training models to predict candidate assessments
Rohit Aggarwal, Harpreet Singh

Modeling Customer Journey with AI
Zipei Lu, P.K. Kannan
Location: 1.110, Jindal School of Management
Session Chair: Dr. Lianlian (Dorothy) Jiang

The Illusion of Interpretation: Post Hoc Explanations Aren’t a Silver Bullet for Business Research
Tong Wang, Ronilo Ragodos, Lu Feng, Yu Jeffrey Hu

Debiasing Machine-Learning- or AI-Generated Regressors in Partial Linear Models
Jingwen Zhang, Wendao Xue, Yifan Yu, Yong Tan

Social Bias: A Study of Emergent Behaviors in Artificial Intelligence using Deep Reinforcement Learning Algorithm
Diana Yan Wu, Jian-Ren Hou, Jie Zhang, Kay Yut Chen, Xianghua Wu

Interpretable Feature Selection for Predictive Analytics: A Bayesian Perspective
Kunpeng Zhang, Wei Feng

When Systemic Biases Taint Algorithms: A Path to More Equitable Access in Healthcare
Özgür Aksoy, Mehmet U. S. Ayvaci, Asunur Cezar, Srinivasan Raghunathan
Session 2a: Strategic Applications of Large Language Models (LLMs): Enhancing Performance and Insights Across Domains
Location: 1.107, Jindal School of Management
Session Chair: Dr. Manmohan Aseri

Can LLM Usage Promote Greater Equity? Evidence from Online Consumer Activism Petitions
Piyush Anand, Yanqing Gui, Vrinda Kadiyali

AI and AI-human based Salesforce Hiring using Conversational Interview Videos
Howard Dover, Ishita Chakraborty, K. Sudhir, Khai Chiong

Can GPT-4 Teach Lesser LLMs? - Automated Prompt Tuning for Conversational AI
Tong Wang, K. Sudhir, Dat Hong

Training models to predict candidate assessments
Rohit Aggarwal, Harpreet Singh

Modeling Customer Journey with AI
Zipei Lu, P.K. Kannan

Session 2b: Algorithmic Bias and Interpretability
Location: 1.110, Jindal School of Management
Session Chair: Dr. Lianlian (Dorothy) Jiang

The Illusion of Interpretation: Post Hoc Explanations Aren’t a Silver Bullet for Business Research
Tong Wang, Ronilo Ragodos, Lu Feng, Yu Jeffrey Hu

Debiasing Machine-Learning- or AI-Generated Regressors in Partial Linear Models
Jingwen Zhang, Wendao Xue, Yifan Yu, Yong Tan

Social Bias: A Study of Emergent Behaviors in Artificial Intelligence using Deep Reinforcement Learning Algorithm
Diana Yan Wu, Jian-Ren Hou, Jie Zhang, Kay Yut Chen, Xianghua Wu

Interpretable Feature Selection for Predictive Analytics: A Bayesian Perspective
Kunpeng Zhang, Wei Feng

When Systemic Biases Taint Algorithms: A Path to More Equitable Access in Healthcare
Özgür Aksoy, Mehmet U. S. Ayvaci, Asunur Cezar, Srinivasan Raghunathan

Session 3a: AI Adoption and Strategies Session 3b: Feature Engineering Innovations: Enhancing Predictive and Causal Analytics
Location: 1.107, Jindal School of Management
Session Chair: Dr. Raveesh Mayya

Navigating the Generative Ai Blackout-The role of Generative Ai in Software development industry
Sardar Fatooreh Bonabi, Sarah H. Bana, Tingting Nian

Impact of Generative AI on Market Competition
Ahmed Abbasi, Daewon Sun, Hemant Bhargava, Xinxue Qu

A Practical End-to-End Inventory Management Model with Deep Learning
Meng Qi, Yuanyuan Shi, Yongzhi Qi, Chenxin Ma, Rong Yuan, Di Wu, Zuo-Jun (Max) Shen
Location: 1.110, Jindal School of Management
Session Chair: Dr. Ishita Chakraborty

From Lexicons to AI: Psycho-Linguistic Text Analysis in Business Research
Ahmed Abbasi, Reza Mousavi, Brent Kitchens

Understanding Volunteer Crowdsourcing from a Multiplex Perspective
Yifan Yu, Xue (Jane) Tan, Yong Tan

Features May be All You Need for Object Classification
Jingyi Yang, Alexander Tuzhilin
Session 3a: AI Adoption and Strategies
Location: 1.107, Jindal School of Management
Session Chair: Dr. Raveesh Mayya

Navigating the Generative Ai Blackout-The role of Generative Ai in Software development industry
Sardar Fatooreh Bonabi, Sarah H. Bana, Tingting Nian

Impact of Generative AI on Market Competition
Ahmed Abbasi, Daewon Sun, Hemant Bhargava, Xinxue Qu

A Practical End-to-End Inventory Management Model with Deep Learning
Meng Qi, Yuanyuan Shi, Yongzhi Qi, Chenxin Ma, Rong Yuan, Di Wu, Zuo-Jun (Max) Shen

Session 3b: Feature Engineering Innovations: Enhancing Predictive and Causal Analytics
Location: 1.110, Jindal School of Management
Session Chair: Dr. Ishita Chakraborty

From Lexicons to AI: Psycho-Linguistic Text Analysis in Business Research
Ahmed Abbasi, Reza Mousavi, Brent Kitchens

Understanding Volunteer Crowdsourcing from a Multiplex Perspective
Yifan Yu, Xue (Jane) Tan, Yong Tan

Features May be All You Need for Object Classification
Jingyi Yang, Alexander Tuzhilin

Session 4a: Impact of AI on Productivity and Performance Session 4b: Enhancing Business Insights and Consumer Interaction through AI
Location: 1.107, Jindal School of Management
Session Chair: Dr. Piyush Anand

AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform
Dandan Qiao, Huaxia Rui, Qian Xiong

The Impact of Generative AI on Software Development
Fangchen Song, Ashish Agarwal, Wen Wen

Artificial Intelligence, Firm Hierarchy and Startup Success
Gavin Wang, Oliver Sun

The impact of Large Language Models on open-source innovation: Evidence from GitHub Copilot
Doron Yeverechyahu, Gal Oestreicher-Singer, Raveesh Mayya

The Philosopher’s Stone for Science –The Catalyst Change of AI for Scientific Creativity
Dashun Wang, Ian Ho, Pin Sun, Qian Chen
Location: 1.110, Jindal School of Management
Session Chair: Dr. Tong Wang

What’s In a Response? Uncovering Management Response Strategies and Their Impact on Future Ratings and Sales
Hulya Karaman, Ishita Chakraborty, Shrabastee Banerjee

Deciphering the Dynamics of Deception: A Sequential Learning Approach to Early Detection of Fake Review Campaigns on Amazon
Sherry He, Brett Hollenbeck, Gijs Overgoor, Davide Proserpio, Ali Tosyali

Personalized Algorithms and the Virtue of Learning Things the Hard Way
Omid Rafieian, Si Zuo

The Impact of NLP Algorithms on Search Advertising Auctions: Evidence from Google
Poet Larsen, Davide Proserpio

Screening Consumer Complaints for Recall Management: A Topic Model for Decision Automation
Wen Shi, Yujie Qu, Jia Liu
Session 4a: Impact of AI on Productivity and Performance
Location: 1.107, Jindal School of Management
Session Chair: Dr. Piyush Anand

AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform
Dandan Qiao, Huaxia Rui, Qian Xiong

The Impact of Generative AI on Software Development
Fangchen Song, Ashish Agarwal, Wen Wen

Artificial Intelligence, Firm Hierarchy and Startup Success
Gavin Wang, Oliver Sun

The impact of Large Language Models on open-source innovation: Evidence from GitHub Copilot
Doron Yeverechyahu, Gal Oestreicher-Singer, Raveesh Mayya

The Philosopher’s Stone for Science –The Catalyst Change of AI for Scientific Creativity
Dashun Wang, Ian Ho, Pin Sun, Qian Chen

Session 4b: Enhancing Business Insights and Consumer Interaction through AI
Location: 1.110, Jindal School of Management
Session Chair: Dr. Tong Wang

What’s In a Response? Uncovering Management Response Strategies and Their Impact on Future Ratings and Sales
Hulya Karaman, Ishita Chakraborty, Shrabastee Banerjee

Deciphering the Dynamics of Deception: A Sequential Learning Approach to Early Detection of Fake Review Campaigns on Amazon
Sherry He, Brett Hollenbeck, Gijs Overgoor, Davide Proserpio, Ali Tosyali

Personalized Algorithms and the Virtue of Learning Things the Hard Way
Omid Rafieian, Si Zuo

The Impact of NLP Algorithms on Search Advertising Auctions: Evidence from Google
Poet Larsen, Davide Proserpio

Screening Consumer Complaints for Recall Management: A Topic Model for Decision Automation
Wen Shi, Yujie Qu, Jia Liu

Session 5a: AI and Human Behavior Session 5b: Algorithmic Conformity, Bias and Stigma
Location: 1.107, Jindal School of Management
Session Chair: Dr. Meng Qi

Working with Imperfect Bots: Examining the Impact of the Generation Effect on Decision Quality
Narayan Ramasubbu, Dennis Galletta, Xinyu Fu

Hello, I'm Here: The impact of Social Chatbot Conversation Design in Mental Health
Donggyu (David) Min, Sunghun Chung, Chulho Lee, Xitong Lic

Understanding the NSFW Conundrum in Generative AI: How It Affects User Responses and Moderation Tactics
Lei Wang, Lu Huang, Ram Gopal

Ai Enforcement: Examining the Impact of Ai on Judicial Fairness and Public Safety
Ian Ho, Wael Jabr, Yifan Zhang

Threats or Opportunities? Enhancing Business Performance in the Era of Generative AI
Seung Jong Lee, Julian Lehmann, Heewon Chae, Donghyuk Shin, Seigyoung Auh, Sang Pil Han
Location: 1.110, Jindal School of Management
Session Chair: Dr. Hongchang Wang

Algorithm as Boss or Coworker? Randomized Field Experiment on Algorithmic Control and Collaboration in Gig Platform
Jason Chan, Nakyung Kyung, Sojung Yoon, Yeonseo Kim

Mitigating omitted variable bias through the design of data collection interfaces
Aida Khosh Rafter Nouri, Jeffrey Parsons

Synergizing Subjective Human Crowd Knowledge with Objective Machine Intelligence: A Deep Learning Framework (ResT+) to Enhance Interpretable Content Monetization Through Data Fusion
Amit Mehra, Hong Zhang, Hongchang Wang, Zhiqiang (Eric) Zheng

Between Formal Authority and Authority of Competence – The Mechanisms of Algorithmic Conformity
Lior Zalmanson, Yotam Liel

Overcoming the Stigma Barrier: Conversational Information Seeking from AI Chatbots versus Human Experts
Behnaz Bojd, Aravinda Garimella, Haonan Yin
Session 5a: AI and Human Behavior
Location: 1.107, Jindal School of Management
Session Chair: Dr. Meng Qi

Working with Imperfect Bots: Examining the Impact of the Generation Effect on Decision Quality
Narayan Ramasubbu, Dennis Galletta, Xinyu Fu

Hello, I'm Here: The impact of Social Chatbot Conversation Design in Mental Health
Donggyu (David) Min, Sunghun Chung, Chulho Lee, Xitong Lic

Understanding the NSFW Conundrum in Generative AI: How It Affects User Responses and Moderation Tactics
Lei Wang, Lu Huang, Ram Gopal

Ai Enforcement: Examining the Impact of Ai on Judicial Fairness and Public Safety
Ian Ho, Wael Jabr, Yifan Zhang

Threats or Opportunities? Enhancing Business Performance in the Era of Generative AI
Seung Jong Lee, Julian Lehmann, Heewon Chae, Donghyuk Shin, Seigyoung Auh, Sang Pil Han

Session 5b: Algorithmic Conformity, Bias and Stigma
Location: 1.110, Jindal School of Management
Session Chair: Dr. Hongchang Wang

Algorithm as Boss or Coworker? Randomized Field Experiment on Algorithmic Control and Collaboration in Gig Platform
Jason Chan, Nakyung Kyung, Sojung Yoon, Yeonseo Kim

Mitigating omitted variable bias through the design of data collection interfaces
Aida Khosh Rafter Nouri, Jeffrey Parsons

Synergizing Subjective Human Crowd Knowledge with Objective Machine Intelligence: A Deep Learning Framework (ResT+) to Enhance Interpretable Content Monetization Through Data Fusion
Amit Mehra, Hong Zhang, Hongchang Wang, Zhiqiang (Eric) Zheng

Between Formal Authority and Authority of Competence – The Mechanisms of Algorithmic Conformity
Lior Zalmanson, Yotam Liel

Overcoming the Stigma Barrier: Conversational Information Seeking from AI Chatbots versus Human Experts
Behnaz Bojd, Aravinda Garimella, Haonan Yin

Poster Session
What is the Best Explainable Artificial Intelligence for Shaping User Behavior? Evidence from Two Randomized Field Experiments
Chulho Lee, Donggyu (David) Min, Sunghun Chung, Wenjing Duan

From Ad Interruption to Purchases: Revenue, Interruption Rates, and Emotionality
Gijs Overgoor, Samsun Knight, Yakov Bart

Role of Personal Values on the Acceptance and Usage of Generative AI in Academia
Armaan Rashid, Inun Nahar, Ronald Freeze, Sk. Tashrif Uddin

Impact of Strategic Teaming up via Plugins with ChatGPT
Yinan Yu, Hua (Jonathan) Ye, Shuang (Sophie) Zhai

Data-Driven Strategy: Leveraging AI for Competitive Intelligence in the 5G Landscape.
Tzu-Wen Lin, Jayarajan Samuel, Sridhar Panchapakesan Nerur

AI-Assisted Distributed Cognition in Data Science: An Experimental Invigilation
Jayarajan Samuel, Kaiyue Liu, Sridhar Panchapakesan Nerur

The Role of Media Synchronicity Fit and Sense of Community in Live Streaming Platforms
Chaoqun Deng, Yuqian Liu

Artificial or Intelligent: How AI Chat Agents’ Language Use Affects Consumers
Feyzan Karabulut, Sarah G. Moore, Paul R. Messinger

Training-induced bias in crowdsourced data: Implications for machine learning
Jeffrey Parsons, Shawn Ogunseye

Visual Revolution: The Impact of Image Generative AI on Content Generation in Digital Platforms
Ruiyun Xu, Yinan Yu

The Impact of Firm-Specific Ethnical Use of Artificial Intelligence on Cybersecurity Risk
Wei Duan, Nan Hu, Peng Liang

Poster Session
What is the Best Explainable Artificial Intelligence for Shaping User Behavior? Evidence from Two Randomized Field Experiments
Chulho Lee, Donggyu (David) Min, Sunghun Chung, Wenjing Duan

From Ad Interruption to Purchases: Revenue, Interruption Rates, and Emotionality
Gijs Overgoor, Samsun Knight, Yakov Bart

Role of Personal Values on the Acceptance and Usage of Generative AI in Academia
Armaan Rashid, Inun Nahar, Ronald Freeze, Sk. Tashrif Uddin

Impact of Strategic Teaming up via Plugins with ChatGPT
Yinan Yu, Hua (Jonathan) Ye, Shuang (Sophie) Zhai

Data-Driven Strategy: Leveraging AI for Competitive Intelligence in the 5G Landscape.
Tzu-Wen Lin, Jayarajan Samuel, Sridhar Panchapakesan Nerur

AI-Assisted Distributed Cognition in Data Science: An Experimental Invigilation
Jayarajan Samuel, Kaiyue Liu, Sridhar Panchapakesan Nerur

Poster Session
The Role of Media Synchronicity Fit and Sense of Community in Live Streaming Platforms
Chaoqun Deng, Yuqian Liu

Artificial or Intelligent: How AI Chat Agents’ Language Use Affects Consumers
Feyzan Karabulut, Sarah G. Moore, Paul R. Messinger

Training-induced bias in crowdsourced data: Implications for machine learning
Jeffrey Parsons, Shawn Ogunseye

Visual Revolution: The Impact of Image Generative AI on Content Generation in Digital Platforms
Ruiyun Xu, Yinan Yu

The Impact of Firm-Specific Ethnical Use of Artificial Intelligence on Cybersecurity Risk
Wei Duan, Nan Hu, Peng Liang

Important Dates

Submission Open: Oct 15, 2023
Submission Deadline: Dec 30, 2023
Decision Notification: Jan 3, 2024
Early Registration: Nov 1, 2023 – Jan 15, 2024
Regular Registration: Jan 16 – Jan 31, 2024
Conference Dates: Mar 29 – Mar 31, 2024

Submission Guidelines

Authors are encouraged to submit extended abstracts that should not exceed five (5) pages in length, using a 12-point font and double-spaced formatting. This page count includes text, references, figures, and tables. The first page should feature an abstract of no more than 300 words, along with the title and authors’ names; this does not count toward the 5-page limit. All submissions should be in PDF format.

Please use “Register now” button to submit your extended abstract.

Publication Policy

The 2024 Biz AI Conference does not claim copyright for any accepted submissions and will not produce formal proceedings. Unless the author specifically requests otherwise, accepted extended abstracts will be made publicly available in the conference program.

Registration

Dates Availaible Participant Type Cost Cost for authors of
accepted papers
**Early
Registration
Nov 1 - Jan 15 Student $ 50 $ 0
Faculty $ 100 $ 0
Regular Jan 16 - Mar 30 Student $ 75 $ 75
Faculty $ 150 $ 150

**For authors of accepted papers, the early registration fee will be waived as an acknowledgment of your valuable contribution to the conference.

Modification & Reimbursement Policy

For changes, cancellations, or substitutions, please email to rohit.aggarwal [at] utah.edu. or harpreet [at] utdallas.edu

Written cancellations received by Feb 28, 2024, 11:59 PM CST will be eligible for a refund. No refunds will be available after this date. All reimbursements will be processed in US dollars and credited to the originally used payment card.