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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 | |
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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 |
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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.