Dr. Anirban Mukherjee

Select Publications

• Chang, Hannah H., Anirban Mukherjee, and Amitava Chattopadhyay. More voices persuade: The attentional benefits of voice numerosity. Journal of Marketing Research 60, no. 4 (2023):  687-706. Direct link.

• Moon, Sungkyun, Kapil R. Tuli, and Anirban Mukherjee. Does disclosure of advertising spending help investors and analysts?  Journal of Marketing 87, no. 3 (2023): 359-382. Direct link.

• Mukherjee, Anirban, and Hannah H. Chang. "Managing the creative frontier of generative AI: The novelty-usefulness tradeoff." California Management Review (2023).

• Fišar, Miloš, et al. Reproducibility in Management Science. Management Science 70.3, (2024): 1343-1356. 

• Gielens, Katrijn, Marnik G. Dekimpe, Anirban Mukherjee, and Kapil R. Tuli. The future of private-label markets: A global convergence approach. International Journal of Research in Marketing 40, no. 1 (2023): 248-267. Direct link.

• Mukherjee, Anirban, and Vrinda Kadiyali. The competitive dynamics of new DVD releases. Management Science 64, no. 8 (2018): 3536-3553. Direct link.

• Mukherjee, Anirban, Ping Xiao, Li Wang, and Noshir Contractor. Does the opinion of the crowd predict commercial success? Evidence from Threadless. In Academy of Management Proceedings, vol. 1, p. 12728. Academy of Management Briarcliff Manor, 2018. Direct link.

• Tuli, Kapil R., Anirban Mukherjee, and Marnik G. Dekimpe. On the value relevance of retailer advertising spending and same-store sales growth. Journal of Retailing 88, no. 4 (2012): 447-461. Direct link.

• Mukherjee, Anirban, and Vrinda Kadiyali. Modeling multichannel home video demand in the US motion picture industry. Journal of Marketing Research 48, no. 6 (2011): 985-995. Direct link.

Select Working Papers 

(Publicly available drafts linked; other papers under active revision)

• Addressing Dynamic and Sparse Qualitative Data : A Hilbert Space Embedding of Categorical Variables (with Hannah H. Chang), https://arxiv.org/pdf/2308.11781.pdf 

• Agentic AI: Autonomy, Accountability, and the Algorithmic Society (with Hannah H. Chang), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5123621 

• AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research (with Hannah H. Chang), https://arxiv.org/pdf/2404.04436.pdf 

• Baire Space Embeddings: Handling Missing, Dynamic, and Sparse Data

• Bridging the Gap: Using Interpretable AI to Incorporate Real-World Product Descriptions in Consumer Research Experiments (with Hannah H. Chang  and Sachin Gupta)

• CAVIAR: Categorical Variable Embeddings for Accurate and Robust Inference (with Hannah H. Chang), https://arxiv.org/pdf/2404.04979.pdf 

• Charting the Parrot's Song: A Maximum Mean Discrepancy Approach to Measuring AI Novelty, Originality, and Distinctiveness (with Hannah H. Chang), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5213450, https://arxiv.org/abs/2504.08446 

• Cognitive Boundaries of Narrating Voices in Persuasive Videos (with Hannah H. Chang)

• Dalal Street Blues: The Socio-Economic Environment and the Demand for Bollywood Movies (with Ping Xiao), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4776156 

• Describing Rosé: An Embedding-Based Method for Measuring Preferences (with Hannah H. Chang), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3859740 

• Does the Crowd Support Innovation? Innovation Claims and Success on Kickstarter (with Cathy Yang, Ping Xiao, and Amitava Chattopadhyay), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3003283 

• Emotional Appeals as Drivers of Social Media and Advertising Engagement in Real-World Marketplaces: Using AI to Code Variables in Consumer Research (with Hannah H. Chang), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5153265 

• Fido's Ball: A Novel Reinforcing Process for the Generation and Categorization of Qualitative Data Variables

• Forecasting in Rapidly Changing Environments: An Application to the U.S. Motion Picture Industry (with Vrinda Kadiyali), https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6010&context=lkcsb_research 

• Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption (with Hannah H. Chang), https://arxiv.org/pdf/2403.09404.pdf 

• Intellectual Property Piracy and the Intersectionality of Artistic Merit, Gender, and Race (with Hannah H. Chang), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4750624

• Is Volunteering a Gateway to Increased Monetary Giving? Evidence from a Field Experiment (with Sachin Gupta and Sungjin Kim)

• Meta-Learning Customer Preference Dynamics for Fast Customization on Digital Platforms (with Mingzhang Yin, Khaled Boughanmi, and Asim Ansari) 

• Plebeian Bias: Selecting Crowdsourced Creative Designs for Commercialization (with Ping Xiao, Hannah H. Chang, Li Wang, and Noshir Contractor), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3038775 

• Psittacines of Innovation? Assessing the True Novelty of AI Creations, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4764101,  https://arxiv.org/pdf/2404.00017.pdf 

• Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation, https://arxiv.org/pdf/2403.14706.pdf 

• Silico-centric Theory of Mind (with Hannah H. Chang),  https://arxiv.org/pdf/2403.09289.pdf 

• Stochastic, Dynamic, Fluid Autonomy in Agentic AI: Implications for Authorship, Inventorship, and Liability  (with Hannah H. Chang), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5206082, https://arxiv.org/abs/2504.04058 

• The AI Ouroboros and Copyright Laundering: Why Copyright Needs a "Fruit of the Poisonous Tree" Doctrine for Generative AI, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5256625 

• The Impact of Macro Socio-Economic Drivers and Fiscal Policy on Expenditure Allocation and Attribute Preferences (with Andre Bonfrer), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2189381