An Investigation of the Influence of Organizational Structure on Performance of Mobile Telephone Network Operators in Kenya
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The objective of the study was to investigate influence of organizational structure on performance of Mobile Telephone Network Operators in Kenya. Sub-variables used for the independent variable were teamwork organizational structure, learning organization structure and boundary-less structure. Performance of Mobile Telephone Operators in Kenya was analyzed in terms of profit margins and market share. Structural contingency theory was used to explain the relationship between organizational structures on performance. Mixed methodology was used in collecting and interpreting data. Primary data was gathered using self-guided semi-structured questionnaires and secondary data was obtained from published profit margins and percentages of market share obtained from the companies` reports. Study population was 6,167 which included all the employees in the Mobile Telephone Network Operators in Kenya and a total sample size of 361 employees was obtained but 258 questionnaires were filled and returned. Data analysis was done using descriptive statistics and inferential statistics. The study hypothesis was tested at 95% confidence interval and 0.05 α level of significance. Study H0 stated that: Organizational structure does not positively influence performance of MTNOs in Kenya. Goodness of fit model demonstrated that organizational structure had a positive influence on organizations’ performance of MTNOs accounting for 16.4% of the performance (R squared = 0.164). The study concluded that there was a statistically significant influence of organizational structure on organization`s performance therefore rejecting the null hypothesis H0 at β = 0.405 and P = 0.000.
References
-
Burton, R., Obel, B., & Hakonsson, D. (2015). Organizational Design: A Step-by-Step Approach (3rd ed.). London: Cambridge University Press.
Google Scholar
1
-
Meyer, D. N. (2017). Principle-based Organizational Structure: a handbook to help you engineer entrepreneurial thinking and teamwork into organizations of any size (1st ed.). New Delhi: National Disastor Management Authority Publishing.
Google Scholar
2
-
Osawa, J. (2018). Huawei, Apple, Samsung supremacy. Wall street journal, 10-12.
Google Scholar
3
-
Kesler, G., & Kates, A. (2010). Leading Organization Design: How to Make Organization Design Decisions to Drive the Results You Want (1st ed.). San Francisco Bay: Jossey-Bass.
Google Scholar
4
-
Galbraith, J. R. (2014). Designing Organizations: Strategy, Structure, and Process at the Business Unit and Enterprise Levels (3rd ed.). San Francisco Bay: Jossey-Bass.
Google Scholar
5
-
Funminiyi, A. K. (2018). Impact of Organisational Structure on Employee Engagement: Evidence from North Central Nigeria. International Journal of Advanced Engineering, Management and Science (IJAEMS) 4 (8) 579-789.
Google Scholar
6
-
Morrison, R. (2015). Data-driven Organization Design: Sustaining the Competitive Edge Through Organizational Analytics (1st ed.). London: Kogan Page.
Google Scholar
7
-
Njiru, J. N. (2014). The effect of organizational structure on financial performance of commercial state corprations in Kenya. Retrieved June 17, 2018, from erepository.uonbi.ac.ke/.../Njiru_The%20effect.
Google Scholar
8
-
Omondi, J. S. (2017). The Relationship between Organization Structure and Performance in Commercial Banks in Kenya: The Mediating Role of Innovation. International Journal of Academic Research in Business and Social Sciences, 7(4), 633-663.
Google Scholar
9
-
Ogusi, C. D., & Ogbaeze, E. K. (2018). Structure and Organizational Performance in the. European Journal of Social Sciences, 56(1), 37-48.
Google Scholar
10
-
Hickson, J. D. (1971). Strategic contingencies theory. Administrative science quarterly, 16, 216-229.
Google Scholar
11
-
Selto, F. H., Renner, C. J., & Young, S. M. (1995). Assessing the organizational fit of a just-in-time manufacturing system: Testing selection, interaction and systems models of contingency theory. Accounting, organizations, society, 20(8), 665-684.
Google Scholar
12
-
Janne, K. (2017). Mapping the possibilities of contingency theory in organization. Retrieved June 21, 2018, from https://jyx.jyu.fi/ bitstream/handle/123456789.
Google Scholar
13
-
Donaldson, L. (2001). The Contingency Theory of Organizations. Thousand Oaks: Sage Publications.
Google Scholar
14
-
Adom, D., Hussein, E. K., & Agyem, J. A. (2018). Theoretical and Conceptual Framework: Mandatory Ingredients of a Quality Research; International Journal Of Scientific Research, 7 (1), 438-441.
Google Scholar
15
-
Wilson, J. (2010). “Essentials of Business Research: A Guide to Doing Your Research Project”. New York: SAGE Publications.
Google Scholar
16
-
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610.
Google Scholar
17
-
Sukhatme, P. V., Sukhatme, B. V., Sukhatme, S., & Asok, C. (1984). Sampling Theory of Surveys with Applications. Ames, Iowa: Iowa State University Press.
Google Scholar
18
-
Sekaran, U., & Bougie, R. (2016). Research Methods For Business: A Skill Building Approach. New York : John Wiley & Sons.
Google Scholar
19
-
Fowler Jr, F. (2013). Survey research methods (applied social research methods (5th ed.). New York: Sage publishers.
Google Scholar
20
-
Hair, J. F., Black, B., Babin, B., & Anderson, R. E. (2016). Multivariate Data Analysis (7th ed.). hUpper Saddle River, NJ: Pearson Education.
Google Scholar
21
-
Bruin, J. (2016). Introduction to SAS. UCLA: Statistical Consulting Group. From: https://stats.idre.ucla.edu/sas/modules/ (accessed August 22, 2016).
Google Scholar
22