IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v122y2021icp204-216.html
   My bibliography  Save this article

Data analytics and performance: The moderating role of intuition-based HR management in major league baseball

Author

Listed:
  • Kim, Jaemin
  • Dibrell, Clay
  • Kraft, Ellen
  • Marshall, David

Abstract

We propose that due to the decreased spectrum of available strategies (i.e., social simplicity) and simplified mechanisms of value creation (i.e., causal clarity) associated with a greater reliance on data-driven decisions in highly competitive and specialized industries, the positive effects of social capital for data analytics on firm performance will diminish when firms predominantly adopt data-driven decision-making in deploying human resources. Alternatively, the positive effect associated with social capital in data analytics is more profound when moderated by intuition-based (i.e., idiosyncratic knowledge) decision-making for managing HR selections. To test our hypotheses, we observed 30 major league baseball (MLB) teams over 6 years from 2009 to 2014 as the early phase of the ‘big data era’ that began as a result of PITCHf/x tracking systems in all MLB stadiums being implemented. Our findings suggest that the introduction of the system to all ballparks and resulting dispersion of specialized human capital across this industry facilitates firm specificity of data analytic knowledge to become generic overtime.

Suggested Citation

  • Kim, Jaemin & Dibrell, Clay & Kraft, Ellen & Marshall, David, 2021. "Data analytics and performance: The moderating role of intuition-based HR management in major league baseball," Journal of Business Research, Elsevier, vol. 122(C), pages 204-216.
    • Handle: RePEc:eee:jbrese:v:122:y:2021:i:c:p:204-216
    DOI: 10.1016/j.jbusres.2020.08.057
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014829632030566X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2020.08.057?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maurizio Zollo & Harbir Singh, 2004. "Deliberate learning in corporate acquisitions: post‐acquisition strategies and integration capability in U.S. bank mergers," Strategic Management Journal, Wiley Blackwell, vol. 25(13), pages 1233-1256, December.
    2. Michael Boyer O'Leary & Mark Mortensen, 2010. "Go (Con)figure: Subgroups, Imbalance, and Isolates in Geographically Dispersed Teams," Organization Science, INFORMS, vol. 21(1), pages 115-131, February.
    3. Lin, Canchu & Kunnathur, Anand, 2019. "Strategic orientations, developmental culture, and big data capability," Journal of Business Research, Elsevier, vol. 105(C), pages 49-60.
    4. Young Kyun Chang & Won-Yong Oh & Jee Hyun Park & Myoung Gyun Jang, 2017. "Exploring the Relationship Between Board Characteristics and CSR: Empirical Evidence from Korea," Journal of Business Ethics, Springer, vol. 140(2), pages 225-242, January.
    5. Jerry W. Kim & Brayden G King, 2014. "Seeing Stars: Matthew Effects and Status Bias in Major League Baseball Umpiring," Management Science, INFORMS, vol. 60(11), pages 2619-2644, November.
    6. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    7. Pape, Tom, 2016. "Prioritising data items for business analytics: Framework and application to human resources," European Journal of Operational Research, Elsevier, vol. 252(2), pages 687-698.
    8. Robert M. Grant, 1996. "Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration," Organization Science, INFORMS, vol. 7(4), pages 375-387, August.
    9. Fabio Fonti & Massimo Maoret, 2016. "The direct and indirect effects of core and peripheral social capital on organizational performance," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1765-1786, August.
    10. Jody Hoffer Gittell & Rob Seidner & Julian Wimbush, 2010. "A Relational Model of How High-Performance Work Systems Work," Organization Science, INFORMS, vol. 21(2), pages 490-506, April.
    11. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
    12. Linda Argote & Yuqing Ren, 2012. "Transactive Memory Systems: A Microfoundation of Dynamic Capabilities," Journal of Management Studies, Wiley Blackwell, vol. 49(8), pages 1375-1382, December.
    13. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    14. Zeki Simsek, 2007. "CEO tenure and organizational performance: an intervening model," Strategic Management Journal, Wiley Blackwell, vol. 28(6), pages 653-662, June.
    15. Simon, Herbert A, 1979. "Rational Decision Making in Business Organizations," American Economic Review, American Economic Association, vol. 69(4), pages 493-513, September.
    16. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    17. Fabio Fonti & Massimo Maoret, 2016. "The direct and indirect effects of core and peripheral social capital on organizational performance," Post-Print hal-01478950, HAL.
    18. Robert Huggins & Hiro Izushi & Daniel Prokop & Piers Thompson, 2015. "Network evolution and the spatiotemporal dynamics of knowledge sourcing," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 27(7-8), pages 474-499, September.
    19. Ben Baumer & Andrew Zimbalist, 2014. "Quantifying Market Inefficiencies in the Baseball Players’ Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 488-498, September.
    20. Maureen Blyler & Russell W. Coff, 2003. "Dynamic capabilities, social capital, and rent appropriation: ties that split pies," Strategic Management Journal, Wiley Blackwell, vol. 24(7), pages 677-686, July.
    21. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    22. Keld Laursen & Francesca Masciarelli & Andrea Prencipe, 2012. "Regions Matter: How Localized Social Capital Affects Innovation and External Knowledge Acquisition," Organization Science, INFORMS, vol. 23(1), pages 177-193, February.
    23. Scott Shane & Daniel Cable, 2002. "Network Ties, Reputation, and the Financing of New Ventures," Management Science, INFORMS, vol. 48(3), pages 364-381, March.
    24. Christine Oliver, 1997. "Sustainable competitive advantage: combining institutional and resource‐based views," Strategic Management Journal, Wiley Blackwell, vol. 18(9), pages 697-713, October.
    25. Jay B. Barney, 1986. "Strategic Factor Markets: Expectations, Luck, and Business Strategy," Management Science, INFORMS, vol. 32(10), pages 1231-1241, October.
    26. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    27. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    28. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    29. Marko Reimer & Sebastiaan Doorn & Mariano L. M. Heyden, 2018. "Unpacking Functional Experience Complementarities in Senior Leaders’ Influences on CSR Strategy: A CEO–Top Management Team Approach," Journal of Business Ethics, Springer, vol. 151(4), pages 977-995, September.
    30. Adelaide Wilcox King & Carl P. Zeithaml, 2001. "Competencies and firm performance: examining the causal ambiguity paradox," Strategic Management Journal, Wiley Blackwell, vol. 22(1), pages 75-99, January.
    31. Mikalef, Patrick & Boura, Maria & Lekakos, George & Krogstie, John, 2019. "Big data analytics and firm performance: Findings from a mixed-method approach," Journal of Business Research, Elsevier, vol. 98(C), pages 261-276.
    32. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
    33. Thomas P. Moliterno & Margarethe F. Wiersema, 2007. "Firm performance, rent appropriation, and the strategic resource divestment capability," Strategic Management Journal, Wiley Blackwell, vol. 28(11), pages 1065-1087, November.
    34. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dignity Paradza & Olawande Daramola, 2021. "Business Intelligence and Business Value in Organisations: A Systematic Literature Review," Sustainability, MDPI, vol. 13(20), pages 1-27, October.
    2. Chong, Woon Kian & Chang, Chiachi, 2024. "Information exploitation of human resource data with persistent homology," Journal of Business Research, Elsevier, vol. 172(C).
    3. Raazia Gul & Mamdouh Abdulaziz Saleh Al-Faryan, 2023. "From insights to impact: leveraging data analytics for data-driven decision-making and productivity in banking sector," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    4. Michael A. Roach, 2022. "Career concerns and personnel investment in the Major League Baseball player draft," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 413-426, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Pengfei & Yuan, Chunhui & Li, Xiaolong & Di, Jia, 2024. "Big data analytics, firm risk and corporate policies: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).
    2. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    3. Philipp Korherr & Dominik Kanbach, 2023. "Human-related capabilities in big data analytics: a taxonomy of human factors with impact on firm performance," Review of Managerial Science, Springer, vol. 17(6), pages 1943-1970, August.
    4. Candice WALLS & Brian BARNARD, 2020. "Success Factors of Big Data to Achieve Organisational Performance: Theoretical Perspectives," Expert Journal of Business and Management, Sprint Investify, vol. 8(1), pages 1-16.
    5. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    6. Ghasemaghaei, Maryam & Calic, Goran, 2020. "Assessing the impact of big data on firm innovation performance: Big data is not always better data," Journal of Business Research, Elsevier, vol. 108(C), pages 147-162.
    7. Alberto Bertello & Alberto Ferraris & Stefano Bresciani & Paola Bernardi, 2021. "Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1035-1055, December.
    8. Tugba Karaboga & Cemal Zehir & Ekrem Tatoglu & H. Aykut Karaboga & Abderaouf Bouguerra, 2023. "Big data analytics management capability and firm performance: the mediating role of data-driven culture," Review of Managerial Science, Springer, vol. 17(8), pages 2655-2684, November.
    9. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    10. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    11. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    12. Morimura, Fumikazu & Sakagawa, Yuji, 2023. "The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    13. Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.
    14. Nguyen Anh Khoa Dam & Thang Le Dinh & William Menvielle, 2019. "A systematic literature review of big data adoption in internationalization," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 182-195, September.
    15. Brinch, Morten & Gunasekaran, Angappa & Fosso Wamba, Samuel, 2021. "Firm-level capabilities towards big data value creation," Journal of Business Research, Elsevier, vol. 131(C), pages 539-548.
    16. Rodepeter, Elisa & Gschnaidtner, Christoph & Hottenrott, Hanna, 2023. "Big data and start-up performance," ZEW Discussion Papers 23-061, ZEW - Leibniz Centre for European Economic Research.
    17. Elisabetta Raguseo & Claudio Vitari, 2017. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," Grenoble Ecole de Management (Post-Print) halshs-01923259, HAL.
    18. Dignity Paradza & Olawande Daramola, 2021. "Business Intelligence and Business Value in Organisations: A Systematic Literature Review," Sustainability, MDPI, vol. 13(20), pages 1-27, October.
    19. Shet, Sateesh.V. & Poddar, Tanuj & Wamba Samuel, Fosso & Dwivedi, Yogesh K., 2021. "Examining the determinants of successful adoption of data analytics in human resource management – A framework for implications," Journal of Business Research, Elsevier, vol. 131(C), pages 311-326.
    20. Meadows, Maureen & Merendino, Alessandro & Dibb, Sally & Garcia-Perez, Alexeis & Hinton, Matthew & Papagiannidis, Savvas & Pappas, Ilias & Wang, Huamao, 2022. "Tension in the data environment: How organisations can meet the challenge," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:122:y:2021:i:c:p:204-216. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.