Factors Influencing the Adoption of E-Services by the Informal Sector: A Case of ECIS under NAPSA

Abstract

The study was conducted to investigate the factors influencing the adoption of e-services by the informal sector under the Extension of Coverage to the Informal Sector (ECIS) under NAPSA. The study adopted the UTAUT framework model from which five variables were examined which are: performance expectancy, effort expectancy, social influence, facilitating conditions and behavioral intention to determine the factors influencing the actual use of eService systems. The researcher adopted a mixed methodology approach which applied both quantitative and qualitative techniques of data collection and analysis. A sample size of 301 marketeers was randomly selected and determined using the (Moazzam, 2014) formula, from which data was using questionnaires and analyzed using SPSS. The demographic data shows that most of the respondents from the marketeers where female with a frequency of 211 out of 301 respondents which accounted for 70.1% of the total respondents with males having a frequency of 90 out of 301 accounting 29.9%. The results from SPSS outputs indicate: the correlation coefficient of −0.329 with p value of 0.061 indicates a negative relationship between performance expectancy and the use of ENAPSA services by the marketers. Effort expectancy is not significant with the Pearson correlation of 0.096 with a p value of 0.072. Social influence is not significant as indicated in the table above with the Pearson correlation of 0.042 with a p value of 0.001. The correlation coefficient of 0.312 with p value of 0.002 indicates a positive relationship between facilitating conditions and the use of ENAPSA services by the marketeers. The correlation coefficient of –0.181 with a p value 0.052 indicates a negative relationship between behavior intention and the use of ENAPSA services by the marketeers. From the five variables, social influence and facilitating conditions which are driving the adoption of ENAPSA services. This means that the marketers believe that the usage of e-NAPSA services platforms would yield positive results and the conflicting results from the actual usage of e-NAPSA services with lowest mean of 1.4485 indicating that the adoption of system usage would not benefit the marketeers. This article is organized as follows: Introduction, literature review, methodology (Introduction, research design, population, sample size, sampling design and technique and data collection tools) including research model and research hypothesis, results and discussion having demographic info analysis (gender, age, education level), descriptive statistics (inferential stats analysis using correlation for PE, EE, SI, FC and BI against Actual usage and summary of the results). Conclusion and recommendations will conclude the article with references ending the article.