Acta Universitatis Danubius. Œconomica, Vol 13, No 6 (2017)

Work-Life Balance And Adaptive Performance Of Technopreneurs In Lagos State, Nigeria

Kabiru Ishola Genty, Rafiu Akanji Bankole, Rahmon Olawale Saka


This study attempts to establish the link between work-life balance and adaptive performance among technopreneurs in Lagos State, Nigeria. A survey research design was used for the study with the application of research instruments. Sample size of one hundred respondents was determined with the combination of purposive and stratified random sampling techniques across the three (3) major technologies market in Lagos State, Nigeria. Collected data were analysed descriptively and inferentially. Three research hypotheses were formulated and tested using Pearson moment product of correlation and regression analysis. Hypothesis one revealed that there is a significant strong positive relationship between work-roles balance and capacity to handle uncertainty among the technopreneurs in Lagos State Nigeria (r = .496, p < 0.01).Similarly, hypothesis two depicted that there is a significant relationship between family-roles balance and technopreneurs ability to handle work-stress (P < 0.05 level of significance). The value of 0.284 in the model summary represents the correlation coefficient between family roles balance and ability to handle work-stress. Hypothesis three showed that the coefficient of determination (R2) is 0.442. This indicates that cultural and interpersonal adaptability accounts for 44.2% of the variation in the work-life balance among the technopreneurs in Lagos State, Nigeria. The study concluded that cultural and interpersonal adaptability influence work-life balance among the technopreneurs in Lagos State, Nigeria. Thus, this study recommended that technopreneurs should develop high adaptive performance skills in the area of handling work stress, capacity of coping with unpredictable situations in technology business, and ability to deal with uncertain work situations to create a balance work-life. Conclusively, the study can be replicated in other part of the country with larger sample size using second generation statistical analysis tools such as Structural Equation modelling (SEM) in order to have a generalised conclusion.


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