Creation of a Conceptual Model for Adoption of Mobile Apps for Shopping from E-Commerce Sites–An Indian Context

An Exploratory Study on the Intention to Adopt a New Mobile Commerce Application in Nanjing, China

“…The mobile commerce application studied in this paper adds additional features that increase the security of the group buying transactions by not releasing the financial incentive to the group organizer until all participants in the group have received their complete orders. Although the adoption of a new mobile commerce application involves sellers and buyers, this study focuses only on sellers since there are more studies available that focused on the buyers [4]- [8], [10]. The present paper extends the research presented in [14] by considering the intention to adopt the same m-commerce application but by sellers.…”

“…Therefore, the objective of the present research is to propose a model to identify significant factors affecting the intention to adopt a new mobile commerce application in Nanjing, China. Identifying factors affecting mobile commerce adoption is also relevant in several other different countries such as Bangladesh [7], India [8], Iran [9], Malaysia [4], Spain [10] and the U.S. [5], [6], [11]. The research presented here differs from some of the available studies about m-commerce [4]- [8, [10] since it researches the intention to adopt a new existing m-commerce application by sellers [12] in a new market in Nanjing, China.…”

“…The contribution of the present research it to propose a SEM-PLS model based on a set of 9 indicators to identify significant factors influencing the decision to adopt the m-commerce app developed by JiuYao Pintuan. These indicators are: perceived benefits, innovativeness, perceived security, perceived ease of use, perceived cost, perceived enjoyment, perceived compatibility, perceived lack of critical mass or perceived subjective norm and perceived intention to adopt mobile commerce [1], [4], [8]. Formative models build the final construct from a set of indicators representing different dimensions of the final construct.…”

“…Indicators in a formative model are likely to be unrelated to each other [16]. Therefore, traditional reliability indicators such as Cronbach Alpha [16], [19], [20] may not be appropriate to use, despite its use in similar studies [4], [5], [8] in which there are multiple items measuring the same indicator. Highly correlated items in a formative model are likely to be indicators of the same aspect.…”

E-commerce Model Adoption by Small-Medium Enterprises for Business Development

“…Intercept [13], [4], [7], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27] Relative Advantage Compatibility IT Infrastructure Security Organizational Factors Involvement & Consistency [12], [28], [10], [29], [30], [31] Top Management Support Financial Resources Human Resources…”