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all for Papers—Special Issue of Information Systems Research —Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

Author

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  • Guest Editors: Hemant Jain

    (University of Tennessee at Chattanooga, Chattanooga, Tennessee 37403)

  • Balaji Padmanabhan

    (University of South Florida, Tampa, Florida 33620)

  • Paul A. Pavlou

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Raghu T. Santanam

    (Arizona State University, Tempe, Arizona 85287)

Abstract

No abstract is available for this item.

Suggested Citation

  • Guest Editors: Hemant Jain & Balaji Padmanabhan & Paul A. Pavlou & Raghu T. Santanam, 2018. "all for Papers—Special Issue of Information Systems Research —Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society," Information Systems Research, INFORMS, vol. 29(1), pages 250-251, March.
    • Handle: RePEc:inm:orisre:v:29:y:2018:i:1:p:250-251
    DOI: isre.2018.0784
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    References listed on IDEAS

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    1. Roger Clarke & Andrew Burton-Jones & Ron Weber, 2016. "On the Ontological Quality and Logical Quality of Conceptual-Modeling Grammars: The Need for a Dual Perspective," Information Systems Research, INFORMS, vol. 27(2), pages 365-382, June.
    2. Georg Meyer & Gediminas Adomavicius & Paul E. Johnson & Mohamed Elidrisi & William A. Rush & JoAnn M. Sperl-Hillen & Patrick J. O'Connor, 2014. "A Machine Learning Approach to Improving Dynamic Decision Making," Information Systems Research, INFORMS, vol. 25(2), pages 239-263, June.
    3. Robert Wayne Gregory & Jan Muntermann, 2014. "Research Note —Heuristic Theorizing: Proactively Generating Design Theories," Information Systems Research, INFORMS, vol. 25(3), pages 639-653, September.
    4. Vasant Dhar & Tomer Geva & Gal Oestreicher-Singer & Arun Sundararajan, 2014. "Prediction in Economic Networks," Information Systems Research, INFORMS, vol. 25(2), pages 264-284, June.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
    2. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    3. Junming Yin & Jerry Luo & Susan A. Brown, 2021. "Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach," Information Systems Research, INFORMS, vol. 32(3), pages 752-773, September.
    4. Marios Kokkodis & Sam Ransbotham, 2023. "Learning to Successfully Hire in Online Labor Markets," Management Science, INFORMS, vol. 69(3), pages 1597-1614, March.
    5. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
    6. Marios Kokkodis, 2023. "Adjusting Skillset Cohesion in Online Labor Markets: Reputation Gains and Opportunity Losses," Information Systems Research, INFORMS, vol. 34(3), pages 1245-1258, September.
    7. Scott Schanke & Gordon Burtch & Gautam Ray, 2021. "Estimating the Impact of “Humanizing” Customer Service Chatbots," Information Systems Research, INFORMS, vol. 32(3), pages 736-751, September.

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