Search Results - "Chanda, Sasanka Sekhar"

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  1. 1

    Back to the basics: reconciling the continuum and orthogonal conceptions of exploration and exploitation by Chanda, Sasanka Sekhar, McKelvey, Bill

    “…Extant research is vertically divided on the question whether exploration and exploitation constitute two ends of a continuum or whether they are orthogonal…”
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    Journal Article
  2. 2

    Replicating agent-based models: Revisiting March’s exploration–exploitation study by Chanda, Sasanka Sekhar, Miller, Kent D

    Published in Strategic organization (01-11-2019)
    “…To validate prior agent-based models, public disclosure of model code is necessary, but not sufficient. Conceptual model replication, involving independent…”
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    Journal Article
  3. 3

    Is comprehensiveness in making strategic decisions always helpful? by Chanda, Sasanka Sekhar, Ray, Sougata

    Published in Australian journal of management (05-11-2023)
    “…Extant research provides incongruous answers to the question whether higher comprehensiveness in making strategic decisions is always desirable. To motivate a…”
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  4. 4

    Omission and commission errors underlying AI failures by Chanda, Sasanka Sekhar, Banerjee, Debarag Narayan

    Published in AI & society (01-06-2024)
    “…In this article we investigate origins of several cases of failure of Artificial Intelligence (AI) systems employing machine learning and deep learning. We…”
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    Journal Article
  5. 5

    Decision making under high complexity: a computational model for the science of muddling through by Yayavaram, Sai, Chanda, Sasanka Sekhar

    “…It is well recognized that many organizations operate under situations of high complexity that arises from pervasive interdependencies between their decision…”
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  6. 6

    Inferring final organizational outcomes from intermediate outcomes of exploration and exploitation: the complexity link by Chanda, Sasanka Sekhar

    “…The difficulty in definitively linking outcomes of managerial action to organizational outcomes has been a festering issue in organizational research. The…”
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  7. 7

    Optimal exploration and exploitation: the managerial intentionality perspective by Chanda, Sasanka Sekhar, Ray, Sougata

    “…Extant research has provided ambiguous answers to the question as to what constitutes an ideal balance between exploration and exploitation, in stable and…”
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  8. 8

    Learning from Project Failure: Globalization Lessons for an MNC by Chanda, Sasanka Sekhar, Ray, Sougata

    Published in Thunderbird international business review (01-11-2016)
    “…We study a multinational corporation's (MNC) failure in implementing a firm‐wide information technology system (ITS) project. To counter heightened competitive…”
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  9. 9

    The Continuum Conception of Exploration and Exploitation: An Update to March’s Theory by Mckelvey, Bill

    Published in Management (Paris, France : 1998) (01-01-2018)
    “…In his seminal 1991 publication, March illustrates the continuum conception of exploration and exploitation by an organizational learning metaphor. Exploration…”
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  11. 11

    Administration of an organization undergoing change: Some limitations of the transaction cost economics approach by Chatterjee, Abha, Chanda, Sasanka Sekhar, Ray, Sougata

    “…Purpose This paper aims to develop conceptual arguments questioning the efficacy of administration by the transaction cost economics (TCE) approach in an…”
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  12. 12

    Administration of an organization undergoing change by Chatterjee, Abha, Chanda, Sasanka Sekhar, Ray, Sougata

    “…Purpose This paper aims to develop conceptual arguments questioning the efficacy of administration by the transaction cost economics (TCE) approach in an…”
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    Journal Article
  13. 13

    Formal theory development by computational simulation modeling: a tale of two philosophical approaches by Chanda, Sasanka Sekhar, Ray, Sougata

    Published in Decision (Calcutta) (01-09-2015)
    “…Computational simulation modeling is an important approach to formal theory development. It has all the advantages of mathematical models, and is additionally…”
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    Journal Article
  14. 14

    Mandating Code Disclosure is Unnecessary -- Strict Model Verification Does Not Require Accessing Original Computer Code by Chanda, Sasanka Sekhar

    Published 11-05-2021
    “…Mandating public availability of computer code underlying computational simulation modeling research ends up doing a disservice to the cause of model…”
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  15. 15

    An Algorithm to Effect Prompt Termination of Myopic Local Search on Kauffman-s NK Landscape by Chanda, Sasanka Sekhar

    Published 26-04-2021
    “…In Kauffman-s NK model, myopic local search involves flipping one randomly-chosen bit of an N-bit decision string in every time step and accepting the new…”
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    Journal Article
  16. 16

    The Ironic Double Whammy of Being an Ethical Leader: Follower Response to Leader Infidelity by Sekhar Chanda, Sasanka, Hasel, Markus C, Ray, Sougata, Grover, Steven L

    Published in Management (Paris, France : 1998) (01-01-2018)
    “…This study examines how leaders' ethical behavior outside of work affects followers' attitudes toward them. Building on leader integrity and apology research,…”
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  17. 17

    Overcoming Complexity Catastrophe: An Algorithm for Beneficial Far-Reaching Adaptation under High Complexity by Chanda, Sasanka Sekhar, Yayavaram, Sai

    Published 10-05-2021
    “…In his seminal work with NK algorithms, Kauffman noted that fitness outcomes from algorithms navigating an NK landscape show a sharp decline at high complexity…”
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  18. 18

    An Algorithm to find Superior Fitness on NK Landscapes under High Complexity: Muddling Through by Chanda, Sasanka Sekhar, Yayavaram, Sai

    Published 06-06-2020
    “…Under high complexity - given by pervasive interdependence between constituent elements of a decision in an NK landscape - our algorithm obtains fitness…”
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  19. 19

    AI Failures: A Review of Underlying Issues by Banerjee, Debarag Narayan, Chanda, Sasanka Sekhar

    Published 18-07-2020
    “…Instances of Artificial Intelligence (AI) systems failing to deliver consistent, satisfactory performance are legion. We investigate why AI failures occur. We…”
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