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Bonuses and Investment in Intangibles

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  • TAHIR M. NISAR

Abstract

Traditional analyses of bonuses have focused on performance measures such as output or profit as the sole determinant of bonus pay plans. However, companies now use bonuses for a variety of purposes, including employee recruitment and retention and to obtain better outcomes in quality and customer service. These trends suggest that a host of strategic considerations influence company decisions about bonus payouts, ranging from traditional concerns such as employee performance to the company's reputation among prospective employees and customers, stakeholder influence, and support for technological and organizational change as part of company plans to develop intangible assets. Using data from 2000 ELCS (European Labor Cost Survey), I investigate the determinants of bonus payouts, in particular how a company's concerns about intangible assets affect its bonus outlays. Consistent with a growing body of evidence, both individual and workplace effects are important in explaining the variation in the incidence of bonus payments. Specifically, the findings suggest that human capital investments are positively related to bonus payments.

Suggested Citation

  • Tahir M. Nisar, 2006. "Bonuses and Investment in Intangibles," Journal of Labor Research, Transaction Publishers, vol. 27(3), pages 381-395, June.
  • Handle: RePEc:tra:jlabre:v:27:y:2006:i:3:p:381-395
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    Cited by:

    1. Julie Walker, 2010. "The Use of Performance-based Remuneration: High versus Low-growth Firms," Australian Accounting Review, CPA Australia, vol. 20(3), pages 256-264, September.
    2. Carlos Fong Reynoso & Luis Ernesto Ocampo Figueroa, 2010. "Intangible Resources As A Determinant Of Accelerated Internationalization," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 4(4), pages 95-105.
    3. Luis Ernesto Ocampo Figueroa & Moises Alejandro Alarcon Osuna & Carlos Fong Reynoso, 2014. "Determinants of the Internationalization of the Firm: The Accelerated Model vs. the Sequential Model," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(5), pages 81-93.
    4. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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