• Consumer Mobile Shopping Acceptance Predictors and Linkages: A Systematic Review and Weight Analysis

      Tamilmani, Kuttimani; Rana, Nripendra P.; Dwivedi, Y.K.; Kizgin, Hatice (Springer, 2020-04)
      Mobile phones have become an integral part of human lives with majority of people using them to access product and services for their day-today needs. However, mobile shopping adoption across the globe is not wide or fast as expected. In addition, the research is very scant in understanding various predictors of consumer adoption towards mobile shopping. The objective of this study is to identify most significant and non-significant predictors of consumer mobile shopping acceptance. Systematic review and weight analysis on 34 mobile shopping studies revealed researchers mostly employed TAM and UTAUT model as theoretical lens. This study found an interesting revelation that extrinsic motivation variables such as social influence and perceived usefulness determine consumer mobile shopping behavioral intention during early stages. However, in later stages intrinsic motivation variables such as satisfaction and trust play crucial role to emerge as best and promising predictor of consumer continuous intention respectively.
    • A meta-analysis of existing research on citizen adoption of e-government

      Rana, Nripendra P.; Dwivedi, Y.K.; Williams, M.D. (2015-06)
      The purpose of this paper is to perform a weight-analysis and to undertake a meta-analysis of findings reported in published research on the adoption and diffusion of e-government. Usable data relating to e-government adoption research were collected from 103 empirical studies. Of those 103 articles, only 63 used a range of different constructs with appropriate correlation values required for performing a weight- and meta-analysis. Diagrammatic representation has been presented using significant as well as non-significant relationships from all 103 publications. A broader analysis of research on adoption and diffusion of e-government also reflects that although a large number of theories and theoretical constructs were borrowed from the reference disciplines, their utilization by e-government researchers appears to be largely random in approach. This paper also acknowledges the theoretical contribution, the limitations of this study, and suggests further research directions for the continued work.
    • A meta-analysis of the UTAUT model in the moblie banking literature: The moderating role of sample size and culture

      Jadil, Y.; Rana, Nripendra P.; Dwivedi, Y.K. (2021-08)
      In the last few years, several studies have examined the predictors of mobile banking (m-banking) adoption using the unified theory of acceptance and use of technology (UTAUT). However, contradictory results in some of the UTAUT relationships were found in the existing literature. Therefore, we aim to clarify and synthesize the empirical findings from the m-banking studies published since 2004 by conducting weight and meta-analysis with a focus on the UTAUT theory. We also seek to identify the roles of moderating variables on each UTAUT path. A total of 364 path coefficients from 127 studies were relevant for data analysis. CMA software V3 was employed to combine the effect sizes. All UTAUT relationships were found to be significant. Performance expectancy emerged as the strongest antecedent of usage intention. We also find that usage intention is the most critical predictor of use behavior. It was also revealed that sample size and culture significantly moderated the linkages between facilitating conditions and usage intention, effort expectancy and usage intention, and usage intention and use behavior. Theoretical contributions and managerial implications are also discussed toward the end.
    • The unified theory of acceptance and use of technology (UTAUT): A literature review

      Williams, M.D.; Rana, Nripendra P.; Dwivedi, Y.K. (2015-04)
      Purpose – The purpose of this paper is to perform a systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT). Design/methodology/approach – The results produced in this research are based on the literature analysis of 174 existing articles on the UTAUT model. This has been performed by collecting data including demographic details, methodological details, limitations, and significance of relationships between the constructs from the available articles based on the UTAUT. Findings – The findings indicated that general purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT. The analysis also indicated that crosssectional approach, survey methods, and structural equation modelling analysis techniques were the most explored research methodologies whereas SPSS was found to be the largely used analysis tools. Moreover, the weight analysis of independent variables indicates that variables such as performance expectancy and behavioural intention qualified for the best predictor category. Moreover, the analysis also suggested that single subject or biased sample as the most explored limitation across all studies. Research limitations/implications – The search activities were centered on occurrences of keywords to avoid tracing a large number of publications where these keywords might have been used as casual words in the main text. However, we acknowledge that there may be a number of studies, which lack keywords in the title, but still focus upon UTAUT in some form. Originality/value – This is the first research of its type which has extensively examined the literature on the UTAUT and provided the researchers with the accumulative knowledge about the model.
    • Weight Analysis of the Factors Affecting eWOM Providing Behavior

      Ismagilova, Elvira; Dwivedi, Y.K.; Rana, Nripendra P.; Sivarajah, Uthayasankar; Weerakkody, Vishanth J.P. (2020)
      Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.