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http://dx.doi.org/10.14400/JDC.2022.20.4.225

The Influence of Perceived Value on Continuance Use Intention in Voice Commerce Context  

Kim, Hyo-Jung (Department of Industrial Psychology, Hoseo University)
Publication Information
Journal of Digital Convergence / v.20, no.4, 2022 , pp. 225-234 More about this Journal
Abstract
Voice commerce has emerged as a key channel for consumer searches and purchases. This study examines the continuance use intention of voice commerce, applying value-based adoption model. An online survey was conducted with 470 consumers who has experienced with voice commerce. As participants were who buys and purchases goods; or a user who uses food delivery service in voice commerce context. This study used SPSS 23.0 and Amos 23.0 for descriptive analysis, correlation analysis, confirmatory factor analysis, and structul equation modeling analysis. These reaults are as follows. First, usefuleness and response accuracy were significantly influenced the perceived value of voice commerce. Second, functional risk was significantly influenced the the perceived value of voice commerce. Third, perceived value was significantly influenced the continuance use intention of voice commerce. These results enhance understanding of voice commerce users and provide insight into the service provider of voice commerce.
Keywords
Voice commerce; Value-based acceptance model; Continuance use intention; Response accuracy; Perceived value;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 S. H. Ahn, W. Jo & D. H. Jung. (2019). Factors Affecting Users to Adopt Voice Shopping: Empirical Evidence from the UTAUT Model, Journal of Technology Innovation, 27(4), 111-144.   DOI
2 H. R. Lee & S. W. Lee. (2020). The Influence of the Attractiveness and Para-social Interaction of Intelligent Personal Assistant on the Product Attitude of Voice Shopping Users. Information Society & Media, 21(1), 55-82. DOI : 10.52558/ISM.2020.04.21.1.55   DOI
3 A. Mari & R. Algesheimer (2021, January). The Role of Trusting Beliefs in Voice Assistants during Voice Shopping. In Proceedings of the 54th Hawaii International Conference on System Sciences. (pp. 4073-4082). Howaii: HICSS.
4 W. Jo, S. H. Ahn & D. H. Chung. (2020). Influence of User Innovativeness and Knowledge Base on Acceptance of Voice Shopping. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 15(2), 153-169. DOI : 10.16972/apjbve.15.2.202004.153   DOI
5 S. Y. Lee, H. R. Yim & H. S. Kim. (2019). Study on Influence Relation of Membership User's Perceived Benefit, Sacrifice, Value and Continuous Use Intention by Using Theory of Value Based Adoption Model (VAM): Focused on 20's CJ Membership Service. Culinary Science & Hospitality Research, 25(6), 12-22. DOI : 10.20878/cshr.2019.25.6.002   DOI
6 P. Hu, Y. Lu, & B. Wang. (2022). Experiencing Power over AI: The Fit Effect of Perceived Power and Desire for Power on Consumers' Choice for Voice Shopping. Computers in Human Behavior, 128, 1-12. https://doi.org/10.1016/j.chb.2021.107091   DOI
7 H. Y. Lee, D. B. Lee, J. S. Kim & Y. A. Kang. (2020. February). Voice User Interface Design Guidelines for Food Delivery Service. Proceedings of HCI Korea. (pp.537-544). Korea: HCI.
8 P. Klaus & J. L. Zaichkowsky. (2022). The Convenience of shopping via voice AI: Introducing AIDM. Journal of Retailing and Consumer Services, 65, 1-7. https://doi.org/10.1016/j.jretconser.2021.102490   DOI
9 R. E. Bawack, S. F. Wamba & K. D. A. Carillo. (2021). Adoption of Smart Speakers for Voice Shopping. In Exploring Innovation in a Digital World (pp. 21-35). Springer, Cham. https://doi.org/10.1007/978-3-030-87842-9_3   DOI
10 D. Y. Yoon & Y. Lee. (2021). Conversational AI Voice Shopping Service: MZ Generation vs. Baby Boom Generation, Journal of Consumer Studies, 32(3), 73-93.   DOI
11 H. W. Kim, H. C. Chan & S. Gupta (2007). Value-based Adoption of Mobile Internet: An Empirical Investigation. Decision Support Systems, 43(1), 111-126. https://doi.org/10.1016/j.dss.2005.05.009   DOI
12 Y. Yin & Y. Nam. (2021). A Study on Factors Affecting Intention to Continue Using Mobile Audiobook Applications: Based on the Expectation Confirmation Model, Technology Acceptance Model and Value-based Adoption Model, The Journal of Internet Electronic Commerce Research, 21(3), 127-144. DOI : 10.37272/JIECR.2021.06.21.3.127   DOI
13 F. D. Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008   DOI
14 S. Moore, S. Bulmer & J. Elms. (2022). The Social Significance of AI in Retail on Customer Experience and Shopping Practices. Journal of Retailing and Consumer Services, 64, 1-8. https://doi.org/10.1016/j.jretconser.2021.102755   DOI
15 C. Rzepka, B. Berger & T. Hess. (2020, January). Why Another Customer Channel? Consumers' Perceived Benefits and Costs of Voice Commerce. In Proceedings of the 53rd Hawaii International Conference on System Sciences. (pp. 4079-4088). Howaii: HICSS. DOI:10.24251/HICSS.2020.499   DOI
16 N. K. Kim, K. H. Hwang & S. B. Yang. (2021). The Influence of Perceived Value of Fresh Food Early-Morning Delivery Services on Continuous Use Intention: Focusing on the Value-Based Adoption Model, The Journal of Internet Electronic Commerce Research, 21(3), 1-26. DOI : 10.37272/JIECR.2021.06.21.3.1   DOI
17 O. K. Kim & J. Y. Yun. (2019). A Convergence Study on the Chatbot(Voice-based/Messenger-based) in Mobile Shopping and User Experience in App Services. The Korean Society of Science & Art, 37(2), 47-59. DOI : 10.17548/ksaf.2019.03.30.47   DOI
18 E. H. Ki & H. M. Joen. (2020). Factors Influencing on Continuous Intention to Use of Accommodation App Using the Expended Value-based Adoption Model. Journal of Hospitality and Tourism Studies, 22(2), 214-228. DOI : 10.31667/jhts.2020.6.83.214   DOI
19 J. H. Kim & J. H. Choi. (2018). Effect of Conversational Agent's Recommendation Strategy on Voice Shopping Experience: Focused on Initiative Strategies and Type of Goods, Journal of Cybercommunication Academic Society, 35(4), 5-35. DOI : 10.36494/JCAS.2018.12.35.4.5   DOI
20 H. A. Sung & A. J. Lee. (2020). A Study of Factors Affecting Intention to Continuous Use on Smart Order Service in Coffee Shop-Focused on Value-Based Adoption Model. FoodService Industry Journal, 16(1), 203-218. DOI : 10.22509/kfsa.2020.16.1.014   DOI
21 H. A. Sung & A. J. Lee. (2020). A Study of Factors Affecting Intention to Continuous Use on Smart Order Service in Coffee Shop-Focused on Value-Based Adoption Model, FoodService Industry Journal, 16(1), 203-218. DOI : 10.22509/kfsa.2020.16.1.014   DOI
22 M. J. Kim & S. B. Lee. (2018). The Effect of the Perceived Benefit and Sacrifice of Delivery Application Service Users in the Food Industry on Perceived Value and Behavioral Intention: Using the Value-based Adoption Model(VAM), International Journal of Tourism and Hospitality Research, 32(2), 217-233. DOI : 10.21298/IJTHR.2018.02.32.2.217   DOI
23 J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson R. L Tatham, Multivariate Data Analysis, Auflage, Upper Saddle River, 2006.
24 C. Rzepka, B. Berger & T. Hess. (2020, January). Why Another Customer Channel? Consumers' Perceived Benefits and Costs of Voice Commerce. In Proceedings of the 53rd Hawaii International Conference on System Sciences. (pp. 4079-4088). Howaii: HICSS.
25 Y. H. Park, J. H. Song, D. H. Kwon & D. H. Chung. (2021). Factors Affecting Users Acceptance of Voice Assistant in Vehicles: Focusing on the Extended UTAUT Model. Innovation Studies, 16(3), 1-43. DOI:10.24251/HICSS.2020.499   DOI