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A dynamic system of job performance with goals and leadership changes as shocks

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  • Dishop, Christopher R.
  • Good, Valerie

Abstract

Two consistent predictors of salesperson job performance include goals and leadership. Much of the research related to these domains, however, has two limitations. First, it is removed from an understanding of how effects operate when performance is viewed as a dynamic system, or a construct with inherent feedback loops and a tendency to ebb and flow over time. Second, it focuses on leadership behaviors rather than leadership changes (i.e., experiencing a change in one’s supervisor), even though employees in today’s workforce often experience the event of having a leader replaced. We extend this literature by establishing and testing a theory of performance system dynamics such that key principles of dynamics regarding performance over time are integrated and tested. Moreover, these two predictors, salesperson goals and leadership changes, are represented as exogenous inputs or shocks. Repeated measures data on sales employees obtained over six months provide evidence of performance system dynamics, reflecting not only patterns of consistency but also responses to external forces. Findings also reveal that company-assigned goals (i.e., quotas) are a significant predictor of effort and performance beyond the employees’ typical behavior and nullify any potential negative impact of leadership changes. The paper concludes with implications for both research and practice.

Suggested Citation

  • Dishop, Christopher R. & Good, Valerie, 2022. "A dynamic system of job performance with goals and leadership changes as shocks," Journal of Business Research, Elsevier, vol. 139(C), pages 602-613.
    • Handle: RePEc:eee:jbrese:v:139:y:2022:i:c:p:602-613
    DOI: 10.1016/j.jbusres.2021.10.018
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    1. Nelson, Charles R & Kang, Heejoon, 1984. "Pitfalls in the Use of Time as an Explanatory Variable in Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(1), pages 73-82, January.
    2. Cravens, David W. & Moncrief, William C. & Lamb, Charles Jr. & Dielman, Terry, 1990. "Sequential modeling approach for redeploying selling effort in field salesforces," Journal of Business Research, Elsevier, vol. 20(3), pages 217-233, May.
    3. Gao, Ronnie (Chuang Rang) & Murphy, William H. & Anderson, Rolph E., 2020. "Transformational leadership effects on salespeople’s attitudes, striving, and performance," Journal of Business Research, Elsevier, vol. 110(C), pages 237-245.
    4. Keele, Luke & Kelly, Nathan J., 2006. "Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables," Political Analysis, Cambridge University Press, vol. 14(2), pages 186-205, April.
    5. Enrique Moral-Benito & Paul Allison & Richard Williams, 2019. "Dynamic panel data modelling using maximum likelihood: an alternative to Arellano-Bond," Applied Economics, Taylor & Francis Journals, vol. 51(20), pages 2221-2232, April.
    6. Kanfer, Ruth & Chen, Gilad, 2016. "Motivation in organizational behavior: History, advances and prospects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 6-19.
    7. Willy Bolander & Nawar N. Chaker & Alec Pappas & Daniel R. Bradbury, 2021. "Operationalizing salesperson performance with secondary data: aligning practice, scholarship, and theory," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 462-481, May.
    8. Peasley, Michael C. & Hochstein, Bryan & Britton, Benjamin P. & Srivastava, Rajesh V. & Stewart, Geoffrey T., 2020. "Can’t leave it at home? The effects of personal stress on burnout and salesperson performance," Journal of Business Research, Elsevier, vol. 117(C), pages 58-70.
    9. Sascha Alavi & Johannes Habel & Paolo Guenzi & Jan Wieseke, 2018. "The role of leadership in salespeople’s price negotiation behavior," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 703-724, July.
    10. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    11. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    12. James S. Boles & George W. Dudley & Vincent Onyemah & Dominique Rouzies & William A. Weeks, 2012. "Sales Force Turnover and Retention: A Research Agenda," Post-Print hal-00663426, HAL.
    13. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    14. Dugan, Riley & Rouziou, Maria & Bolander, Willy, 2020. "The case for hiring neurotic salespeople: A longitudinal growth modeling analysis," Journal of Business Research, Elsevier, vol. 116(C), pages 123-136.
    15. Willy Bolander & Nawar N. Chaker & Alec Pappas & Daniel R. Bradbury, 2021. "Correction to: Operationalizing salesperson performance with secondary data: aligning practice, scholarship, and theory," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1267-1268, November.
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    1. Valerie Good & Douglas E. Hughes & Ahmet H. Kirca & Sean McGrath, 2022. "A self-determination theory-based meta-analysis on the differential effects of intrinsic and extrinsic motivation on salesperson performance," Journal of the Academy of Marketing Science, Springer, vol. 50(3), pages 586-614, May.

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