About

Alok Gupta is a faculty member associated with the Information & Decision Sciences department at the Carlson School of Management. He holds the position of Curtis L. Carlson Chair Professor in Business Analytics and Information Systems and serves as the Academic Director of the Carlson Analytics Lab. His expertise encompasses data analysis techniques, predictive analytics, programming, data engineering, and machine learning methods, contributing to the development of emerging data science professionals. His research and teaching focus on applying data-driven approaches to real business problems, supporting the educational mission of the Carlson School and fostering collaboration with partner organizations.

Research topics

• Computer Science
• Knowledge management
• Artificial Intelligence
• Psychology
• Machine Learning
• Computer Security
• Economics
• Industrial organization
• Engineering
• Business
• Data science
• Political Science
• World Wide Web
• Finance
• Social psychology
• Operations management
• Microeconomics
• Law
• Medicine
• Internal medicine
• Internet privacy
• Chemistry
• Human–computer interaction
• Accounting

Selected publications

• Volumetric Studies of Alanine in the Pre-Micellar Regions of Sodium Dodecyl Sulphate (SDS) in Aqueous Solution

  International Journal of Research and Review · 2026-04-20

  articleOpen accessSenior author

  Interactions between amino acid (alanine) and surfactant (Sodium dodecyl sulphate) was investigated using density and density data was utilized to calculate apparent molar volume (fv), and partial molar volume also known as limiting molar volume (f0v) to find out solute- solvent interactions between amino acid and surfactant. Keywords: Amino acids, Surfactant, Biomolecules, Solute-solvent interaction, Aqueous medium.

  PublisherDOI

• Health Information Technology Redeployment from Targets to Acquirers in the Healthcare Industry: The Role of Co-Specialized Human Capital in Value Creation

  MIS Quarterly · 2025-08-18

  articleSenior author

  In view of the increasing number of hospital mergers and acquisitions (M&As) and the significant role of healthcare services in the economy, a variety of recent studies have shed light on how health information technology (HIT) contributes to value creation from hospital M&As. However, little attention has been paid to value creation through the redeployment of the target hospital’s digital resources to the acquiring hospital and the conditions needed to create value from such resource redeployment. This paper highlights how post-M&A HIT redeployment from the target to the acquirer influences the quality of care of the acquirer. First, the results demonstrate the importance of retaining elements of the co-specialized human capital of the target hospital post-M&A as central to creating value from HIT redeployment. Second, HIT redeployment from the target to the acquirer is more valuable when the diagnostic context of the acquiring hospital is complementary to but also distinct from the diagnostic context of the target hospital. Third, the electronic health record system compatibility between the target and the acquirer also plays an essential role in facilitating value creation for the acquiring hospital from the transfer of knowledge-based capabilities from the target.

  PublisherDOI

• Blockchain-Enabled Digital Twins for Secure and Transparent Health data Management

  Economic Sciences. · 2025-10-09

  articleOpen access1st authorCorresponding

  The potential to incorporate digital twins in the healthcare sector promises unforeseen prospects of real-time tracking, individual care, and prediction. Nevertheless, such advantages contribute to serious problems associated with data security, privacy, integrity, and transparency because of the nature of healthcare data. This article discusses how blockchain technology can be used as an enabler infrastructure to overcome these issues as part of the digital twin-based healthcare facilities. Using decentralized, immutable, transparent ledger capabilities of blockchain, healthcare providers can also guarantee data protection between the stakeholders involved, along with patient privacy and the adherence to regulations like HIPAA and GDPR. The article explains the major frameworks in which consent management, access control, and audit trails are automated through smart contracts hence increasing trust and governance in digital health ecosystems. The work also illustrates real-life applications, industry implementations, and future proposed frameworks on how blockchain and digital twin model can be integrated in providing highly secure, scalable, and interoperable solutions in the healthcare sector. This article provides an examination of the technical obstacles, adoption concerns, and regulatory issues surrounding the coming together of these emerging technologies, and provides policymakers, healthcare organizations and technology developers with actionable information.

  PublisherOA PDFDOI

• Lemon Ads: Adverse Selection in Multichannel Display Advertising Markets

  Management Science · 2025-04-23 · 1 citations

  articleOpen accessSenior author

  Two auction-based channels play a crucial role in facilitating transactions of ad impressions in display advertising: real-time bidding (RTB), which is accessible to all advertisers, and private marketplace (PMP), which is restricted to a select group of advertisers through invitation-based agreements with publishers. Despite the ongoing discourse on the benefits and drawbacks of these two channels, how their coexistence influences the market dynamics and outcomes remains an open question. In this paper, we investigate this question by focusing on the welfare implications of publishers’ channel adoption. First, using a game-theoretic model, we show that publishers who use both RTB and PMP can leverage their private information on impression quality to sell lower-quality impressions at higher prices in RTB, leading to adverse selection and exposing their RTB-only counterparts to losses. To validate our theoretical prediction, we conduct an empirical analysis using a large proprietary data set. The results provide strong evidence of the presence of adverse selection. In particular, we find that, all else being equal, RTB impressions from dual-channel publishers are of significantly lower quality compared with those from single-channel publishers. Our findings shed light on the nuanced dynamics between RTB and PMP and contribute to the understanding of the complex interplay of informational and strategic factors in the display advertising market. This paper was accepted by Anindya Ghose, information systems. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.03407 .

  PublisherOA PDFDOI

• High-Resolution Visible Light OCT of the Human Retina with Combined Superluminescent Diodes

  2025-03-26

  preprintOpen access1st authorCorresponding

  High-resolution Optical Coherence Tomography (OCT) requires broadband, spatially coherent light sources. Today, the source of choice for visible light OCT, the supercontinuum (SC), is bulky, expensive, and prone to excess noise. Here we demonstrate high-resolution visible light OCT of the human retina with a combined superluminescent diode (SLD) source. The source is longer in wavelength than the high blue light hazard range but shorter in wavelength than the high photopic efficiency range, ensuring subject safety and comfort. We report an axial resolution of 3.2 micrometers in retina, comparable to high-resolution near-infrared OCT systems. We find that Bruch’s membrane is well-delineated in subjects without ocular pathology, even though the axial resolution is ~3x coarser than SC visible light OCT systems. Clinical imaging of pathological findings in intermediate age-related macular degeneration is shown. We further demonstrate that, within the cyan-green wavelength range of the SLD, optical density spectra resemble those of macular pigments. Overall, while the combined SLD approach does not achieve the micrometer-scale resolution of the SC, it potentially reduces the cost and complexity of visible light OCT while providing novel disease-relevant biomarkers in human retina.<p></p>

  PublisherOA PDFDOI

• Exploring Generative AI’s Impact on Research: Perspectives from Senior Scholars in Management Information Systems

  ACM Transactions on Management Information Systems · 2025-03-26 · 5 citations

  articleOpen access

  This commentary reflects on insights from a panel discussion at the 2024 Annual MIS Academic Leadership Conference, where six senior MIS scholars discussed the impact of Generative AI on scholarly research and peer review. The discussion underscored the importance of responsible use, transparency, and ethical standards, as well as the irreplaceable role of human judgment in maintaining research integrity. This commentary explores the potential of Generative AI as a collaborative tool across various stages of the research lifecycle, highlighting the "human-in-the-loop" approach to harness AI's capabilities while preserving essential human insight. This commentary synthesizes the senior scholars’ perspectives on the responsible integration of Generative AI, emphasizing opportunities to enhance research efficiency and foster interdisciplinary collaboration, while advocating for policies that ensure AI supports—rather than substitutes—human intellectual contributions in academic research.

  PublisherOA PDFDOI

• High-Resolution Visible Light OCT of the Human Retina with Combined Superluminescent Diodes

  2025-03-14

  preprint1st authorCorresponding

  High-resolution Optical Coherence Tomography (OCT) requires broadband, spatially coherent light sources. Today, the source of choice for visible light OCT, the supercontinuum (SC), is bulky, expensive, and prone to excess noise. Here we demonstrate high-resolution visible light OCT of the human retina with a combined superluminescent diode (SLD) source. The source is longer in wavelength than the high blue light hazard range but shorter in wavelength than the high photopic efficiency range, ensuring subject safety and comfort. We report an axial resolution of 3.2 micrometers in retina, comparable to high-resolution near-infrared OCT systems. We find that Bruch’s membrane is well-delineated in subjects without ocular pathology, even though the axial resolution is ~3x coarser than SC visible light OCT systems. Clinical imaging of pathological findings in intermediate age-related macular degeneration is shown. We further demonstrate that, within the cyan-green wavelength range of the SLD, optical density spectra resemble those of macular pigments. Overall, while the combined SLD approach does not achieve the micrometer-scale resolution of the SC, it potentially reduces the cost and complexity of visible light OCT while providing novel disease-relevant biomarkers in human retina.<p></p>

  PublisherDOI

• CBG Production from MSW: Technical Overview

  International Journal of Science and Research (IJSR) · 2025-08-11

  articleOpen access1st authorCorresponding

  The production of Compressed Biogas (CBG) from Municipal Solid Waste (MSW) has emerged as a promising approach to manage waste sustainably while generating a clean and renewable energy source. This innovative solution addresses two critical challenges facing urban areas: waste management and energy production. By harnessing the potential of MSW, CBG production offers a win-win situation, reducing the environmental and health impacts of waste disposal while generating a valuable energy resource. The potential benefits of CBG production from MSW are substantial. Not only does it provide a renewable energy source, but it also reduces dependence on fossil fuels, mitigates climate change, and promotes sustainable waste management. In India, where waste management is a significant challenge, CBG production from MSW offers a promising solution. However, the implementation of CBG production from MSW in India faces several challenges, including high capital costs, technological complexities, and regulatory hurdles. In India, where waste management is a significant challenge, CBG production from MSW offers a promising solution. The country generates a substantial amount of MSW, which can be leveraged to produce CBG. Moreover, India's growing energy demand and government initiatives to promote renewable energy and sustainable waste management create a favorable environment for CBG production from MSW. By leveraging the potential of MSW and addressing the challenges, India can promote sustainable development, reduce its environmental footprint, and create a cleaner and healthier environment for its citizens. With the right policies and technologies in place, CBG production from MSW can play a significant role in India's transition to a more sustainable and renewable energy-based economy.

  PublisherOA PDFDOI

• The Role of the Rashtriya Swayamsevak Sangh in the Indian Independence Movement: A Historical Study

  Shodh Sahitya · 2025-06-01

  article1st authorCorresponding
  PublisherDOI

• Roles of Artificial Intelligence in Collaboration with Humans: Automation, Augmentation, and the Future of Work

  Management Science · 2025-10-15 · 14 citations

  articleSenior author

  Humans will see significant changes in the future of work as collaboration with artificial intelligence (AI) will become commonplace. This work explores the benefits of AI in the setting of judgment tasks when it replaces humans (automation) and when it works with humans (augmentation). Through an analytical modeling framework, we show that the optimal use of AI for automation or augmentation depends on different types of human-AI complementarity. Our analysis demonstrates that the use of automation increases with higher levels of between-task complementarity. In contrast, the use of augmentation increases with higher levels of within-task complementarity. We integrate both automation and augmentation roles into our task allocation framework, where an AI and humans work on a set of judgment tasks to optimize performance with a given level of available human resources. We validate our framework with an empirical study based on experimental data in which humans classify images with and without AI support. When between-task complementarity and within-task complementarity exist, we see a consistent distribution of work pattern for optimal work configurations; AI automates relatively easy tasks, AI augments humans on tasks with similar human and AI performance, and humans work without AI on relatively difficult tasks. Our work provides several contributions to theory and practice. The findings on the effects of complementarity provide a nuanced view regarding the benefits of automation and augmentation. Our task allocation framework highlights potential job designs for the future of work, especially by considering the often-ignored, critical role of human resource reallocation in improving organizational performance. This paper was accepted by D. J. Wu, Special Issue on the Human-Algorithm Connection. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2024.05684 .

  PublisherDOI

Recent grants

• CAREER: Economic Analysis of Online Mercantile Processes

  NSF · $290k · 2001–2007

Frequent coauthors

• Wolfgang Ketter

  Erasmus University Rotterdam

  148 shared

• Gediminas Adomavičius

  57 shared

• John Collins

  44 shared

• Ravi Bapna

  42 shared

• Eric van Heck

  38 shared

• Robert J. Kauffman

  Copenhagen Business School

  32 shared

• Maria Gini

  University of Minnesota

  30 shared

• Paul Schrater

  30 shared

Education

• Ph.D., Management Science and Information Systems

  University of Texas at Austin

  1996

• M.S., Mine Electrical Systems

  Pennsylvania State University University Park

  1991

• B.Tech., Mining Engineering

  Indian Institute of Technology Varanasi

  1988

Awards & honors

• INFORMS ISS President’s Service Award (2021)
• INFORMS ISS Practical Impacts Award (2021)
• AIS Impact Award (2020)
• INFORMS Information Systems Society (ISS) Distinguished Fell…
• ISS Design Science Award (2012)