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Purpose -The purpose of this paper is to construct and validate an e-lifestyle scale. Design/methodology/approach -Through a two-step approach of exploratory factor analysis (EFA), the generated two EFA solutions reveal the adequacy of the generated seven components underlying the 1,135 responses. By using the other 793 respondents sampling from the same population, confirmatory factor analysis (CFA) examines and supports the fitness of the overall structure. Findings -The empirical results show that the 39 items of the e-lifestyle scale were grouped into seven distinct components. These components represented seven principal factors that significantly influence and shape individual e-lifestyles. Research limitations/implications -This investigation merely represents a starting point in e-lifestyle research. To enhance the validity and generalization of the scale proposed in this study, further cross-cultural validation is necessary. Practical implications -Beyond constructing and validating an e-lifestyle instrument, this study could provide marketers with insights about how to integrate e-lifestyles into marketing strategies. Originality/value -This research contributes to advance current knowledge on what factors influence e-lifestyle and relative influences of main factors shaping e-lifestyle, and pave a way for marketers to execute more elaborate marketing research with the proposed e-lifestyle scale.

PurposeThis article aims to find a chain of causal relations affecting the operating effectiveness of the implemented enterprise resource planning (ERP) system instead of focusing on either the evaluation of software/vendors/consultants or critical successful factors (CSF) identification for ERP implementation, a course followed by the dominant ERP literature.Design/methodology/approachThis article is a process‐oriented approach and aims to give a moving picture of how one step affects another step from pre‐implementation stage, to during‐implementation stage, and to post‐implementation stage.FindingsA significant insight learned from this study is that end‐users across the organization must be educated from the onset of ERP implementation. Although education is a corner‐stone of ERP implementation, the user training is usually only emphasized and the courses are centered on computer/system operation rather than on understanding the ERP concept and spirit.Originality/valueThis article may be interesting to some academic researchers and practical managers, and hopefully can provide a link/step for advanced researches in exploring post‐implementation ERP.

Given that mobile banking is possibly the first commercial mobile service and a prominent example of slow-diffusing innovation, there is a need to investigate what affects people to use mobile banking from the perspective of resistant innovation. Particularly, compared with existing research predominantly adopting the perspective of innovation to investigate what affects people to adopt mobile banking, this study attempts to rectify the deficiency by conducting empirical surveys on two countries based on the theory of consumer innovation resistance. Through analyzing 1,203 Thai and 658 Taiwanese respondents, this study identified that both psychological and functional barriers significantly influenced people's resistance to using mobile banking. By breaking the psychological and functional barriers into five barriers, the generated results show that all barriers except for the traditional barrier significantly influenced the respondents' resistance to using mobile banking. The empirical results also demonstrated that the influence of each of the five barriers is unequal and differs between Thai and Taiwanese respondents. Implication culled from the study are derived to offer valuable clues for academics and practices.

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