Evaluation of E-Technology acceptance: an empirical analysis

Abstract

Different types of technology are emerging in the new era of computing especially the E-Technology and its adoption is considered to be an important issue among the consumers. E-technology has developed into an unavoidable technology among the internet consumers. E-Technology considered in this study includes Technology used for E-Commerce, E-Services and E-Business application. This study investigates the influence of Perceived Benefit (PB), Perceived Impediment (PI), and Social Influence (SI) on E-Technology adoption. Questionnaire survey is used for getting the data and empirical analysis is done. The Statistical Package for Social Sciences (SPSS) version 12 was used for computation. As expected, the results have supported the hypothesis that perceived benefit and social influence have positive effect on the use of E-Technology and perceived impediments have negative effect on the use of E-Technology. The results of the regression analysis conducted on the factors indicate that PB, PI and SI on E-Technology were found to be the most influential factors explaining the use of E-Technology services. The result shows that perceived impediment is negatively related to the adoption of E-Technology use which supports the hypothesis and is in line with the previous studies. The finding refers to the fact that consumers use E-Technology for the benefits and also due to its easiness in use which provides in comparison to other service delivery channels. Social Influence has positive effect on the use of E-Technology as the individuals think that using the advanced technology will improve his image and status in the society. Customers are not ready to take any risk on using the new system and hence impediments show negative significance. Any organization which adopts E-Technology for their day-to-day activities can show their conveniences in their promotional and advertising activities. Organizations also need to engage in security enhancement activities such as encryption, firewall, and user protection and authenticity. Trust is one of the more influential factors, implying that controlling the risk of online data is more important than providing benefits. This finding is particularly important for managers as they decide how to allocate resources to retain and expand their current customer base. However, building a risk-free online environment is much more difficult than providing benefits to customers. Therefore, companies need to search for risk-reducing strategies that might assist in inspiring high confidence in potential customers. The proposed model makes an important contribution to the emerging literature on e-commerce, especially with regard to E-Technology adoption. This study was conducted in a particular region and generalization of the result will have some shortcomings as with any other research. Hence, the replication of this study on a wider scale with more customers across geographical and cultural boundaries is essential for the further generalization of the findings. By using a longitudinal study in the future, we could investigate our research model in different time periods and make comparisons, thus providing more insight into the phenomenon of online banking adoption.