한국복식학회(IJCF) 학술지영문홈페이지
[ Article ]
International Journal of Costume and Fashion - Vol. 22, No. 1, pp.52-62
ISSN: 2233-9051 (Print) 2288-7490 (Online)
Print publication date 30 Jun 2022
Received 14 Feb 2022 Revised 06 Mar 2022 Accepted 22 Mar 2022
DOI: https://doi.org/10.7233/ijcf.2022.22.1.052

The Effect of Consumers’ Perceived Relational Benefits on Trust, Satisfaction, and Behavioral Intention in Fashion Live Commerce Channel

Shinyoung Park ; Su-yun Shin
Ph. D. Dept. of Textiles, Merchandising and Fashion Design, Seoul National University, Seoul, Korea
Professor, Dept. of Fashion Design & Marketing, Seoul Women’s University, Seoul, Korea

Correspondence to: syshin@swu.ac.kr

Citation Park, S. Y. & Shin, S.-Y. (2022). The effect of consumers’ perceived relational benefits on trust, satisfaction, and behavioral intention in fashion live commerce channel. International Journal of Costume and Fashion, 22(1), 52-62.

Abstract

Live commerce is a new media in commerce that has recently been highlighted in social media industries. This study examined the impact of consumers’ perceived relational benefits on consumer trust, satisfaction, purchase intention and continuous use intention in fashion live commerce channels. We conducted an online survey with 232 adult women residing in South Korea who watched a video related to selling fashion products on a live commerce channel. And we analyzed the collected data using SPSS 25.0 and AMOS 23.0 statistical program. The results showed that the perceived relational benefits (i.e., psychological benefits, social benefits, economic benefits, customization benefits) in the live commerce channel had a significant positive effect on consumes’ trust. Also, consumer trust had a positive effect on satisfaction, which, in turn, positively influenced consumer purchase intention and continuous use intention. The results of the study can theoretically extend the consumer behavior research on fashion live commerce channels. In addition, live commerce retailers can use the findings to develop effective marketing strategies.

Keywords:

Live commerce, Relational benefits, Consumer trust, Satisfaction, Behavioral intention

Acknowledgments

This work was supported by a sabbatical year (2020) and research grant (2022) from Seoul Women’s University.

References

  • Alhakami, A. S., & Slovic, P. (1994). A psychological study of the inverse relationship between perceived risk and perceived benefit. Risk Analysis, 14(6), 1085-1096. [https://doi.org/10.1111/j.1539-6924.1994.tb00080.x]
  • An, W. G. (2003). The influence of customer-loyalty by the relational benefit of low-level in the hotel restaurants. Journal of Tourism Services Research, 3, 99-131.
  • Anderson, J. C., Håkansson, H., & Johanson, J. (1994). Dyadic business relationships within a business network context. Journal of Marketing, 58(4), 1-15. [https://doi.org/10.1177/002224299405800401]
  • Berry, L. L. (1995). Relationship marketing of services—Growing interest, emerging perspectives. Journal of the Academy of Marketing Science, 23(4), 236-245. [https://doi.org/10.1177/009207039502300402]
  • Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241. [https://doi.org/10.1080/07421222.2002.11045715]
  • Byun, K.W., & Oh, H.H. (2006). Relationship between ski resort CRM and relation benefit, customer satisfaction, trust, relation commitment and customer loyalty. The Korean Journal of Physical Educaion, 45(1), 495-513.
  • Cai, J., & Wohn, D. Y. (2019). Live streaming commerce: Uses and gratifications approach to understanding consumers’ motivations. Proceedings of the 52nd Hawaii International Conference on System Sciences, USA, 2557. [https://doi.org/10.24251/HICSS.2019.307]
  • Chae, J. M. (2013). The influence of consumer’s relationship benefit perception on the relationship output in internet shopping mall. Fashion & Textile Research Journal, 15(3), 371-380. [https://doi.org/10.5805/SFTI.2013.15.3.371]
  • Choi, Y.M., & Kwon, H.G. (2019). Effects of relationship benefits on trust, flow and customer loyalty of social commerce: Focus of self – determination. Journal of the Korea Industrial Information Systems Research, 24(3), 39-50. [https://doi.org/10.9723/jksiis.2019.24.3.039]
  • Davis, F. D. (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]
  • Dorsch, M. J., Grove, S. J., & Darden, W. R. (2000). Consumer intentions to use a service category. Journal of Services Marketing, 14(2), 92-117. [https://doi.org/10.1108/08876040010309220]
  • Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing, 51(2), 11-27. [https://doi.org/10.1177/002224298705100202]
  • Gao, W., Zhang, Y., Ramanujan, D., Ramani, K., Chen, Y., Williams, C. B., ... & Zavattieri, P. D. (2015). The status, challenges, and future of additive manufacturing in engineering. Computer-Aided Design, 69, 65-89. [https://doi.org/10.1016/j.cad.2015.04.001]
  • Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. [https://doi.org/10.1016/S0305-0483(00)00021-9]
  • Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industries: The customer’s perspective. Journal of the Academy of Marketing Science, 26(2), 101-114. [https://doi.org/10.1177/0092070398262002]
  • Hajli, N. (2015). Social commerce constructs and consumer's intention to buy. International Journal of Information Management, 35(2), 183-191. [https://doi.org/10.1016/j.ijinfomgt.2014.12.005]
  • Hennig-Thurau, T., Gwinner, K. P., & Gremler, D. D. (2002). Understanding relationship marketing outcomes: An integration of relational benefits and relationship quality. Journal of Service Research, 4(3), 230-247. [https://doi.org/10.1177/1094670502004003006]
  • Heo, E.J., & Kim, S. (2014). The effects of relational benefits on customer satisfaction and relational continuance intention in the market of cosmetic medicine - Focusing on the mediating effects of relational frequence. The Academy of Customer Satisfaction Management, 16(4), 67-86.
  • Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246-259. [https://doi.org/10.1016/j.elerap.2012.12.003]
  • Jang, H.Y., & Chung, S.Y. (2014). The interactions among social commerce properties, satisfaction, and reuse intention according to the consumer propensity and attitude. The Academy of Customer Satisfaction Management, 16(4), 167-192.
  • Jung, C. (2017). The impact of interaction on the purchase of donation-items in the live streaming service: Focused on Africa TV (Unpublished master's thesis). Korea Advanced Institute Science and Technology, Daejeon, South Korea
  • Jung, H. (2014). Laryngeal behaviors and acoustic parameters characteristics of people who stutter. Journal of speech-language & hearing disorders, 23(2), 123-138. [https://doi.org/10.15724/jslhd.2014.23.2.011]
  • Jung, S. G., & Yang, J. H. (2013). A study on relationship among relational benefits, satisfaction and customer loyalty; Focused on the moderating effects of consumer’s innovativeness & rationality. Journal of Marketing Management Research, 18(2), 47-72.
  • Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509-523. [https://doi.org/10.1086/268109]
  • Kim, J. Y., Bae, K H., & Hwang, J. H. (2021, December 28). 네이버 D-커머스 리포트[Naver D-commerce report]. Naver. Retrieved from https://www.navercnorp.com/navercorp_/research/2021/20211227201440_2.pdf
  • Kim, M. S. (2020, July 6). 태국 이커머스 시장 트렌드 알고 소비자 잡자! [Let’s understand the trend of Thailand e-commerce market and get consumers!], Kotra Overseas Market News. Retrieved from https://news.kotra.or.kr/user/globalBbs/kotranews/782/globalBbsDataView.do?setIdx=243&dataIdx=183236
  • Lee, H., & Lim, J. (2013). SPSS 20.0 매뉴얼 [SPSS 20.0 manual]. Seoul, South Korea: Jyphyunjae.
  • Lee, S., & Park, J. (2013). The effect of perceived customer relational benefit upon repurchase intention on the relationship between retailers and consumers: Focusing moderating effect of the perceived product involvement. Journal of Channel and Retailing, 18(4), 127-160. [https://doi.org/10.17657/jcr.2013.10.31.6]
  • Mittal, B., & Lassar, W. M. (1998). Why do customers switch? The dynamics of satisfaction versus loyalty. The Journal of Services Marketing, 12(3), 177-194. [https://doi.org/10.1108/08876049810219502]
  • Moorman, C., Deshpandé, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57(1), 81-101. [https://doi.org/10.1177/002224299305700106]
  • Morrison, D. G. (1979). Purchase intentions and purchase behavior. Journal of Marketing, 43(2), 65-74. [https://doi.org/10.1177/002224297904300207]
  • Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25–48.
  • Patterson, P. G., & Smith, T. (2001). Relationship benefits in service industries: a replication in a Southeast Asian context. Journal of Services Marketing, 15(6), 425-443. [https://doi.org/10.1108/EUM0000000006098]
  • Peterson, R. A. (1995). Relationship marketing and the consumer. Journal of the Academy of Marketing Science, 23(4), 278-281. [https://doi.org/10.1177/009207039502300407]
  • Ra, C. I., & Woo, C. B. (2015). The effect of relational benefit on relational commitment and long-term relationship orientation among hotel customers. Tourism Research, 40(3), 169-190.
  • Reynolds, K. E., & Beatty, S. E. (1999). Customer benefits and company consequences of customer-salesperson relationships in retailing. Journal of Retailing, 75(1), 11-32. [https://doi.org/10.1016/S0022-4359(99)80002-5]
  • Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393-404. [https://doi.org/10.5465/amr.1998.926617]
  • Seo, M. Y. (2022, February 9). 왕홍 전통이커머스 압박하는 중국 라이브커머스 시장 [Wang Hong, traditional Chinese live commerce market], Chosun Media. Retrieved from http://digitalchosun.dizzo.com/site/data/html_dir/2022/02/09/2022020980204.html
  • Shin, H. H., & Yoo, Y. J. (2017). A study on the structural relationships among relational benefits of the franchise coffee shop, customer satisfaction, switching cost and relationship retention intention. Journal of the Korea Contents Association, 17(3), 556-570. [https://doi.org/10.5392/JKCA.2017.17.03.556]
  • Shin, K. (2020, October 3). 코로나19에 ‘라이브커머스’ 시대 빨라졌다… 23년 8조로 성장 [Corona 19 has accelerated the era of' live commerce'... Growing to 8 trillion won in 23 years], News1. Retrieved from https://www.news1.kr/articles/?4074298
  • Westbrook, R. A., & Fornell, C. (1979). Patterns of information source usage among durable goods buyers. Journal of Marketing Research, 16(3), 303-312. [https://doi.org/10.1177/002224377901600302]
  • Wilson, D. T., & Jantrania, S. (1994). Understanding the value of a relationship. Asia-Australia Marketing Journal, 2(1), 55-66. [https://doi.org/10.1016/S1320-1646(94)70278-1]
  • Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543-556. [https://doi.org/10.1016/j.jbusres.2018.08.032]