European Journal of Business and Innovation Research (EJBIR)

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Workforce Analytic and Organizational Competence of GSM Telecommunication Firms in Nigeria: The Moderating Role of Organizational Structure

Abstract

This study examined the moderating role of organizational structure on relationship between workforce analytics and organizational competence of GSM telecommunication firms in Nigeria. The design for the study was the cross-sectional survey research. The population of the study comprised managers of all four functional GSM telecommunication firms. Primary data was generated using the structured questionnaire. The reliability of the instrument was ascertained using the Cronbach Alpha coefficient with all the items scoring above 0.70. The Spearman Rank Order Correlation Coefficient was used in testing for the bivariate hypotheses while the partial correlation was adopted in testing for the moderating role of standardization and formalization on the relationship between the studies variables. The results from the analysis revealed that there is a significant relationship workforce analytic and organizational competence of GSM telecommunication firms in Nigeria. Similarly, the study affirms that the process of standardization of the organization plays a critical and well evident role in ensuring that workforce analytics results in competence of GSM telecommunication firms in Nigeria. Finally, organizational formalization is affirmed to contribute and impact meaningfully on the relationship between workforce analytics and organizational competence of GSM telecommunication firms in Nigeria. The study concludes that in the process of formalization, management of the GSM telecommunication firms stress on the adoption and implementation of policies which clearly align the organization with its environment and in the same manner enhances the organizations capacity for learning and effectively adapting its human resource to the needs of its market or context.

Keywords: Organizational structure, organizational competence, workforce analytics

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejbir@ea-journals.org
Impact Factor: 7.79
Print ISSN: 2053-4019
Online ISSN: 2053-4027
DOI: https://doi.org/10.37745/ejbir.2013

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