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Behavioral intention of using one-stop mobile application: evidence from department stores

Hong-Wen Lin, Ya-Cing Jhan and Yuan Tseng
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Hong-Wen Lin: Assistant Professor; Department of International Trade, Chinese Culture University, Yang-Ming-Shan, Taipei, Taiwan
Ya-Cing Jhan: Ph.D. Candidate; Department of Business Administration, National Taiwan University of Science and Technology, Da’an District, Taipei, Taiwan
Yuan Tseng: Graduate Student; Department of Marketing, Chinese Culture University, Yang-Ming-Shan, Taipei, Taiwan

Asian Journal of Empirical Research, 2019, vol. 9, issue 12, 401-412

Abstract: This research study is an attempt to focus on intentions of one-stop mobile application of departmental stores to determine the effects of time availability, perceived usefulness, compatibility, and apparently perceived easiness, besides the involvement of customers, which will obviously create a correlation effect in their continuous use. The Technology Acceptance Model and Diffusion of Innovations Theory have been used in this research as the well-set theoretical foundations. To further conduct the research on the right footings, we used the network of questionnaires to carry out an appropriate investigation on a total of 308 effective samples, recovered accordingly. The results of our research clearly indicated the following aspects broadly: compatibility, perceived usefulness and perceived ease of use will positively affect the intentions; whereas time availability and compatibility will positively affect the customer?s involvement; and the customer?s involvement will in turn, positively affect the continuous intentions to use the mobile application. In spite of these positive results, the research also indicated that three hypotheses are invalid. To be more precise, following factors had been included therein: (i) time availability versus intention to use, (ii) perceived usefulness versus customer involvement, and (iii) perceived ease of use versus customer involvement.

Keywords: Technology acceptance model; Diffusion of Innovations Theory; One-stop mobile application; Multiple regression analysis (search for similar items in EconPapers)
Date: 2019
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