Competing Models of How motivation, opportunity, and ability drive performance behaviours.pdf (183.74 kB)
Competing models of how motivation, opportunity, and ability drive job performance in project teams
conference contributionposted on 2013-01-24, 11:30 authored by Martin Tuuli
The motivation–opportunity–ability (MOA) framework is well established in organizational behaviour and specifies complementarity among motivation, opportunity, and ability in driving behaviour. Despite decades of research, the precise inter-relationship among the MOA variables and how they interact to influence performance behaviours still remain largely unclear. Three competing models, a multiplicative, linear and constraining-factor model (CFM), reflecting different levels of complementarity and interaction among motivation, opportunity and ability, and their impact on performance behaviours are specified. These models offer fresh perspectives on interaction effects in organizational behaviour and on how to drive performance in organizations. To test the specified competing models, a quantitative methodology appears appropriate. This will require operationalizing the MOA as well as the performance behaviour variables and measuring them through quantitative questionnaire surveys. Subsequent empirical test of the competing models will confirm whether the constraining-factor model (CFM) is a superior model that provides a better explanation of the variance in performance behaviours than the traditional multiplicative and linear models.
- Architecture, Building and Civil Engineering
CitationTUULI, M.M., 2012. Competing models of how motivation, opportunity, and ability drive job performance in project teams. IN: Laryea, S. ... et al., (eds). Proceedings of the 4th West Africa Built Environment Researchers (WABER) Conference, Abuja, Nigeria, 24-26 July 2012, pp. 1359 - 1366.
- AM (Accepted Manuscript)
NotesThis conference paper was presented at the West Africa Built Environment Research (WABER) 2012 Conference, 24-26 July, Abuja, Nigeria. The WABER website is at: http://www.waberconference.com/