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Key Determinants for Users Intention to Use Smarthome Devices in Vietnam

  • Nguyen, Thi-Hong-Linh (Faculty of Business Administration, University of Economics and Laws, VNU-HCM) ;
  • Duong, Minh-Hung (Faculty of Business Administration, University of Economics and Laws, VNU-HCM) ;
  • Nguyen, Hai-Dang (Faculty of Business Administration, University of Economics and Laws, VNU-HCM) ;
  • Vo, Dang-HongNgan (Faculty of Business Administration, University of Economics and Laws, VNU-HCM) ;
  • Vu, Duy-Phuong-Trinh (Faculty of Business Administration, University of Economics and Laws, VNU-HCM) ;
  • Le, Hoanh-Su (Faculty of Information Systems, University of Economics and Laws, VNU-HCM)
  • 투고 : 2018.10.16
  • 심사 : 2018.12.26
  • 발행 : 2018.12.31

초록

Smarthome is one of the remarkable fields of the industrial revolution 4.0, which are popular in many countries such USA, EURO, Japan and Korea. However, how Vietnamese people are considering and having intension to use smarthome devices is still a question for marketers and researchers. This study develops a comprehensive research model that can explain potential customers' behavioral intentions to adopt and use Smarthome services in Viet Nam and figure which key factors affect the intention. This study proposes and validates a new theoretical model that extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The model consists of eight factors that affect one element (Behavioral Intention), specifically: Habits, Perceived usefulness, Perceived ease of use, Trust, Innovativeness Personal, Perceived value, Hedonic motivations and Social influences. Data were collected from 304 Vietnamese citizens by sending the email to survey questionnaire, direct contact with the experienced smarthome users. Through regression analysis, data from samples were analysed with SPSS 20 software and verification of hypotheses, the results show the key determinants affecting the intention to use smarthome appliances in Vietnam: Perceived Value, Social Influence, Perceived Usefulness, Perceived Ease of Use and Trust. From this result, several recommendations have been suggested to to smarthome devices vendors and marketer to improve products as well as marketing approaches to meet customer needs.

키워드

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Fig. 1. Research model and hypothesis.

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Fig. 2. Research methodology.

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Fig. 3. Research model with factor loading and significance.

Table 1. Reliability results.

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Table 2. The results CFA analysis.

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Table 3. Result of hypothesis testing.

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Table 4. Structural Equations Results for Moderating Effect Models.

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Table 5. Structural Equations Results for Hypotheses.

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