Synergy of Top Management Team Demographics, Strategy and Structure: Empirical Evidence on Performance of Public Enterprises

Zachary Awino and Bwire Joseph Francis

International Journal of Business and Management, 2018, vol. 13, issue 2, 108

Abstract: The study conceptualized the collective effect of TMT demographics, corporate strategy and organizational structure on performance of Kenyan PEs. TMT demographics have been posited to influence performance however; this position has been largely tautological and hence required more empirical testing. The study adopted a cross-sectional descriptive survey in which a semi-structured questionnaire was used to obtain data. The questionnaire was administered through a drop and pick method to a sample of 117 Chief Executive Officers. The study used both descriptive and inferential statistics for purposes of data analysis. Descriptive statistics used included mean, standard deviation, coefficients of variation (CVs) and t-tests. Inferential analysis involved the use of multivariate and hierarchical regression analyses. The findings of the study indicated that jointly TMT demographics, corporate strategy and organizational structure significantly influenced performance of PEs. The findings informed theories (upper echelon, configuration, institutional an behavioural theory of the firm) by showing their relevance and applicability in day-to-day organizational operation; decision makers at managerial level are guided on how to choose TMTs with the right mix of demographics, and policy makers on development of guidelines and policies that define the required TMT demographics during recruitment who can develop corporate strategies and adopt structures that bring about stellar performance. The limitations of this study pin-points some areas that need further research in the future. For instance, a qualitative research with variables such as culture and leadership could be considered for future research.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijbmjn:v:13:y:2018:i:2:p:108

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