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Data analytic trends and training in strategic management

Author

Listed:
  • Christopher L. Shook
  • David J. Ketchen
  • Cynthia S. Cycyota
  • Dilene Crockett

Abstract

Data analysis is a key element of the research process. Accordingly, appropriate doctoral training in data analysis is vital to the strategic management field's future. We used a two‐study design to evaluate quantitative data analysis trends and doctoral training. An analysis of Strategic Management Journal articles from 1980 to 2001 reveals that, contrary to some predictions, the use of general linear model techniques such as regression has increased over time. However, the use of more specialized techniques, including those suitable for examining longitudinal data, discrete events, and causal structure, has also grown substantially. A survey of recent doctoral graduates shows that, although skilled with general linear models, many are ill prepared to use specialized techniques. Based on our findings, we offer suggestions aimed at bridging gaps between what doctoral students (and other researchers) know and what they need to know about data analysis. Copyright © 2003 John Wiley & Sons, Ltd.

Suggested Citation

  • Christopher L. Shook & David J. Ketchen & Cynthia S. Cycyota & Dilene Crockett, 2003. "Data analytic trends and training in strategic management," Strategic Management Journal, Wiley Blackwell, vol. 24(12), pages 1231-1237, December.
    • Handle: RePEc:bla:stratm:v:24:y:2003:i:12:p:1231-1237
    DOI: 10.1002/smj.352
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    Cited by:

    1. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    2. Giselmar A. J. Hemmert & Laura M. Schons & Jan Wieseke & Heiko Schimmelpfennig, 2018. "Log-likelihood-based Pseudo-R2 in Logistic Regression," Sociological Methods & Research, , vol. 47(3), pages 507-531, August.
    3. Jose G. Vargas-Hernandez, M.B.A., 2014. "Research Methodology Strategies In Strategic Management," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 10, pages 106-147.
    4. Khalid Al-Shuaibi, 2016. "Reaping the Benefits of Long Term Relationship with Suppliers: An Evidence from the Saudi Chemical Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(8), pages 203-203, July.
    5. Michelle A. Dean & Christopher L. Shook & G. Tyge Payne, 2007. "The Past, Present, and Future of Entrepreneurship Research: Data Analytic Trends and Training1," Entrepreneurship Theory and Practice, , vol. 31(4), pages 601-618, July.
    6. Erastus Karanja & Aditya Sharma & Ibrahim Salama, 2020. "What does MIS survey research reveal about diversity and representativeness in the MIS field? A content analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1583-1628, March.
    7. Artemis Chang & Rui Torres de Oliveira & Hsi-Mei Chung & Nan Zheng, 2022. "Subnational response differences on the Belt and Road Initiative policy and firm internationalization: A longitudinal and multi-level approach," Journal of International Business Policy, Palgrave Macmillan, vol. 5(2), pages 152-171, June.
    8. Julio Suárez-Albanchez & Juan Jose Blazquez-Resino & Santiago Gutierrez-Broncano & Pedro Jimenez-Estevez, 2021. "Occupational Health and Safety, Organisational Commitment, and Turnover Intention in the Spanish IT Consultancy Sector," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    9. Yujin Jeong & Jordan I. Siegel & Sophie Yu‐Pu Chen & Whitney K. Newey, 2020. "A recentering approach for interpreting interaction effects from logit, probit, and other nonlinear models," Strategic Management Journal, Wiley Blackwell, vol. 41(11), pages 2072-2091, November.
    10. Florian Manz, 2019. "Determinants of non-performing loans: What do we know? A systematic review and avenues for future research," Management Review Quarterly, Springer, vol. 69(4), pages 351-389, November.
    11. Karanja, Erastus & Zaveri, Jigish & Ahmed, Ashraf, 2013. "How do MIS researchers handle missing data in survey-based research: A content analysis approach," International Journal of Information Management, Elsevier, vol. 33(5), pages 734-751.

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