DOI QR코드

DOI QR Code

외식업체 셀프서비스기술에 대한 소비자 저항 및 만족

Consumer Resistance and Satisfaction with Restaurant Self-service Technology

  • 유교영 (현대차(중국) 빅데이터센터) ;
  • 이진명 (충남대학교 소비자학과)
  • 투고 : 2020.08.11
  • 심사 : 2021.03.20
  • 발행 : 2021.03.28

초록

본 연구의 목적은 셀프서비스기술(SST)의 특성과 소비자 특성이 외식업체에서의 SST에 대한 소비자의 저항과 만족에 미치는 영향을 규명하는 것이다. 이를 위해 외식업체에서 SST를 이용한 경험이 있는 20대에서 50대까지의 일반 소비자를 조사대상으로 선정하여 온라인 설문조사를 실시하였고, 최종 343부의 자료를 분석에 활용하였다. 다중회귀분석을 통해 가설을 검증한 결과, 편의성과 기술통제성이 낮을수록, 복잡성, 사회적 위험, 관계지향성이 높을수록 SST에 대한 소비자 저항이 높아지는 것으로 나타났다. 반면, 편의성, 유희성, 기술통제성이 높을수록, 사회적 위험과 관계지향성이 낮을수록 SST에 대한 소비자 만족이 높아지는 것으로 나타났다. 본 연구는 소비자의 저항을 낮추는 동시에 만족을 높이기 위한 전략을 제안한다는 점에서 실무적 가치가 있고, SST에 대한 소비자의 양가적인 반응에 영향을 미치는 요인을 규명한다는 점에서 관련 연구의 확장에 기여할 수 있다. 본 연구에서 밝혀진 점들을 참조하여 SST에 대한 소비자의 양가적인 반응을 심도 있게 파악하는 것이 요구된다.

This study aims to investigate the effects of self-service technology (SST) characteristics and consumer characteristics on consumer resistance and satisfaction with SST in restaurants. An online survey was conducted for consumers in their 20s and 50s who used SST at restaurants, and 343 data were used for analysis. As a result, convenience and tech-controllability have a negative effect on consumer resistance with SST, whereas complexity, social risk and relationship orientation have a positive effect. In addition, convenience, entertainment, and tech-controllability have a positive effect on consumer satisfaction with SST, whereas social risk and relationship orientation have a negative effect. This study contributes practically and academically in that it proposes a practical strategy to reduce consumer resistance and increase satisfaction, and identifies the determinants of consumer response to SST. In future studies, an in-depth analysis of consumers' ambivalent responses to SST is required.

키워드

참고문헌

  1. H. J. Kim & S. L. Han. (2013). The Effect of Technology Readiness and Customer Participation on Service Quality, Customer Satisfaction and Service Repurchase Intention: Focused on Family Restaurants. Journal of Digital Convergence, 11(9), 67-78. DOI: 10.14400/JDPM.2013.11.9.067
  2. B. G. Kim. (2020. 4. 7). Offline stores seeking to transform themselves into 'untouch'. Fortune Korea. http://www.fortunekorea.co.kr/news/articleView.html?idxno=12353
  3. H. J. Kim & J. M. Lee. (2020). Determinants of the Continued use of Self-service Kiosk. Journal of Consumption Culture, 23(2), 61-85. DOI: 10.17053/jcc.2020.23.2.003
  4. M. L. Meuter, A. L. Ostrom, R. I. Roundtree & M. J. Bitner. (2000). Self-service Technology: Understanding Consumer Satisfaction with Technology-based Service Encounters. Journal of Marketing, 64(3), 50-64. DOI: 10.1509/jmkg.64.3.50.18024
  5. S. S. Cha & S. Y. Park. (2019). The Influence of Perceived Service Quality on Satisfaction and Revisit Intention in Restaurant Using Kiosk. Journal of Food service Management Society of Korea, 22(4), 27-50.
  6. P. A. Dabholkar. (1996). Consumer evaluations of new technology-based self-service options, an investigation of alternative models of service quality. International Journal of Research in Marketing, 13(1), 29-51. DOI: 10.1016/0167-8116(95)00027-5
  7. H. A. Jeon, K. A. Kim & S. H. Kim. (2018). The effects of customer's relational benefits on continuous usage intention of technology-based self-service: Focusing on types of technology-based self-service. Journal of Marketing Management Research, 23(1), 27-49. https://doi.org/10.37202/KMMR.2018.23.1.27
  8. M. Y. Yoo, H. E. Kim & S. I. Kim. (2014). Evaluation of Kiosk Service usability for regional characteristics: Focus on the media pole in Kangnam and Kiosk in Insa-dong. Journal of Digital Design, 14(3), 423-431. DOI: 10.17280/jdd.2014.14.3.042
  9. J. M. Lee, M. Y. Sim, M. S. Kang, H. G. Kang, J. A. Jang, D. Y. Kim. (2019). Effects of Perceived Risk and Consumer Characteristics on the Continuous Use Intention of Technology-based Self Service. Journal of Consumer Studies, 30(1), 69-92. https://doi.org/10.35736/jcs.30.1.4
  10. C. B. Frey & M. Osborne. (2016). The future of employment: How susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280. DOI: 10.1016/j.techfore.2016.08.019
  11. E. M. Rogers. (2010). Diffusion of Innovations, 4th Edition New York: Simon and Schuster.
  12. S. Ram & J. N. Sheth. (1989). Consumer Resistance to Innovations: The Marketing Problem and Its Solutions. The Journal of Consumer Marketing, 6(1), 5-14. DOI: 10.1108/EUM0000000002542
  13. Y. R. Kim & Y. E. Moon. (2018). Psychological Resistance Factors of Consumer Acceptance by Omni Channel's Unmanned Order Payment System. The Korea Society of Management Information Systems. 436-444.
  14. D. Y. Son. (2019). Influence of An Innovation Characteristics and Resistance on the Intention to Use of the Fast Food Restaurant's Kiosk - The Moderating Effect of Human Service Preference. Master dissertation. Sejong University, Seoul.
  15. G. E. Kim. (2018). The effects of SST(Self-Service Technology) quality of food service on the complaining behavior and switching intention : focusing on kiosk. Doctoral dissertation. Sogang University, Seoul.
  16. E. W. Anderson, C. Fornell & S. K. Mazvancheryl. (2004). Customer Satisfaction and Shareholder Value. Journal of Marketing, 68(4), 172-185. DOI: 10.2307/30162024
  17. K. M. Jin & E. J. Jeong. (2018). A Study on the Relationships among the Relational Benefit, Customer Satisfaction, Continuous Use Intention of Airline Technology-based Self-service Users. Tourism Management Research, 22(5), 1027-1046. DOI: 10.18604/tmro.2018.22.5.47
  18. A. Cetto, J. Klier & M. Klier. (2015). Why should I do it myself? Hedonic and utilitarian motivations of customers' intention to use self-service technologies. ECIS 2015 Completed Research Papers. 25. DOI: 10.18151/7217285
  19. S. Djelassi, M. F. Diallo & S. Zielke. (2018). How self-service technology experience evaluation affects waiting time and customer satisfaction? A moderated mediation model. Decision Support Systems, 111, 38-47. DOI: 10.1016/j.dss.2018.04.004
  20. L. L. Berry, K. Seider & D. Grewal. (2002). Understanding Service Convenience. Journal of Marketing, 66(3), 1-17. DOI: 10.1509/jmkg.66.3.1.18505
  21. K ,Seiders, G. B. Voss, A. L. Godfrey & Grewal, D. (2007). SERVCON: Development and validation of a multidimensional service convenience scale. Journal of the Academy of Marketing Science, 35(1), 144-156. DOI: 10.1007/s11747-006-0001-5
  22. S. Tuzovic & V. Kuppelwieser. (2016). Developing a framework of service convenience in health care: An exploratory study for a primary care provider. Health marketing quarterly, 33(2), 127-148. DOI: 10.1080/07359683.2016.1166840
  23. C. Wang, J. ,Harris & P. G. Patterson. (2012). Customer choice of self‐service technology: the roles of situational influences and past experience. Journal of Service Management, 23(1), 54-78. DOI: 10.1108/09564231211208970
  24. H. Y. Moon. (2018). A Study on Customer-based IT Service in Restaurant Industry : Focused on Technology Acceptance Model. Journal of Tourism and Leisure Research, 30(5), 329-339. DOI : 10.31336/JTLR.2018.05.30.5.325
  25. J. W. Song. (2019). A study on usage intention of technology-based self-service(TBSS) of food service companies: focus on innovation resistance model. Journal of Hospitality and Tourism Studies, 21(3), 176-188. DOI : 10.31667/jhts.2019.9.80.176
  26. M. S. Kim. (2005). An Analysis on Visual Humor Interactive in Web Site: Focused on renewed brand Web Sites. Journal of Korean Society of Communication Design, 10, 23-38.
  27. J. H. An. (2013). A study on the development of smart services acceptance model in the perspective of services. Doctoral dissertation. Kookmin University, Seoul.
  28. I. S. Lee, Y. A. Na & H. H. Yoon. (2013). The Effects of Food service Consumer's Perceived Technology-Based Self-Service Characteristics on Satisfaction and Purchase Intention: With a focus on an online menu ordering system. International Journal of Tourism and Hospitality Research, 27(4), 85-100.
  29. W. T. Feng, R. T. Tu, T. Lu & Z. Zhou. (2019). Understanding forced adoption of self-service technology: the impacts of users' psychological reactance. Behaviour & Information Technology, 38(8), 820-832. DOI: 10.1080/0144929X.2018.1557745
  30. J. S. Kim. (1997). Factors Affecting the Amount of Teacher's Usage and Instructional Gratifications of Computer Mediated Communication, Master dissertation. Ewha Woman's University, Seoul.
  31. H. S. Choi & M. A. Oh. (2017). The fourth industrial revolution and the necessity to transform social risks and welfare paradigms in the intelligent information society. Sejong: KIHASA.
  32. S. H. Bae. (2020. 2. 8). 'No' Job 'Without' Shadow Labor. Opinion. http://news.imaeil.com/NewestOpinion/2020020511050904377
  33. H. Im, D. Ryu & D. Park. (2020). Economic Analysis of the Kiosk Industry. Korea Business Review, 24(1), 21-48. DOI : 10.17287/kbr.2020.24.1.21
  34. H. O. Kim & S. H. Kim. (2005). The Effect of the Reality Therapy Group Counseling Program on the Improvement of Self-Esteem, Internal Control, and Addictive Internet Use of the Internet-Addicted Elementary School Students. The Journal of Educational Research, 18, 11-22.
  35. S. K. Ahn & K. H. Heo. (2004). Relationships between Communication Competence and Personality. Korean Journal of Journalism & Communication Studies, 48(2), 321-345.
  36. J. E. Collier & D. L. Sherrell. (2010). Examining the Influence of Control and Convenience in a Self-Service Setting. Journal of the Academy of Marketing Science, 38(4), 490-509. DOI: 10.1007/s11747-009-0179-4
  37. M. Kleijnen, K. D. Ruyter & M. Wetzels. (2007). An Assessment of Value Creation in Mobile Service Delivery and the Moderating Role of Time Consciousness. Journal of Retailing, 83(1), 33-46. DOI: 10.1016/j.jretai.2006.10.004
  38. S. Hoffmann & K. Soyez. (2010). A cognitive model to predict domain-specific consumer innovativeness. Journal of Business Research, 63(7), 778-785. DOI: 10.1016/j.jbusres.2009.06.007
  39. H. S. Song & K. C. Kim. (2006). Resistance to Mobile Commerce Services. Journal of the Electronic Trade Association of Korea 11(2), 111-134.
  40. J. Lu, J. E. Yao & C. Yu. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. Strategic Information Systems, 14, 245-268. DOI: 10.1016/j.jsis.2005.07.003
  41. B. B. Jackson. (1985). Winning and Keeping Industrial Customers: The Dynamics of Customer Relationships. MA: Lexington Books.
  42. J. A. Ledingham. (1984). Are Consumers Ready for the Information Age. Journal of Advertising Research, 24(4), 31-37.
  43. S. L. Han & S. M. Park. (2009). Effects of Technology Readiness on the Attitude and Usage Intention of Self Service Technology. Entrue Journal of Information Technology, 8(2), 51-63.
  44. Y. A. Li. (2012). The impact of characteristics of technology-based self-service and consumer factors on the attitude and usage intention of technology-based self-service: based on Chinese market. Master dissertation. Pusan National University, Busan.
  45. K. G. Nygren & K. L. Gidlund. (2012). The pastoral power of technology. Rethinking alienation in digital culture. Journal for a Global Sustainable Information Society, 10, 509-517. DOI: 10.31269/vol10iss2pp509-517
  46. A. Kokkinou & D. A. Cranage. (2015). Why wait? Impact of waiting lines on self-service technology use. International Journal of Contemporary Hospitality Management, 27(6), 1181-1197. DOI: 10.1108/IJCHM-12-2013-0578
  47. M. S. Featherman & P. A. Pavlou. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474. DOI: 10.1016/S1071-5819(03)00111-3
  48. C. J. Gelderman, W. T. Paul & R. Van Diemen. (2011). Choosing self-service technologies or interpersonal services: The impact of situational factors and technology-related attitudes. Journal of Retailing and Consumer Services, 18(5), 414-421. DOI : 10.1016/j.jretconser.2011.06.003
  49. Y. J. Jung. (2018). Effects of Consumers on the Use of Social Networks and the Purpose of Visiting Restaurants. Journal of Digital Convergence, 16(6), 143-150. DOI : 10.14400/JDC.2018.16.6.143
  50. E. J. Lee & S. I. Kim. (2019). Guideline for Improvement of Unmanned Shopping Experience - Focusing on Seven Eleven Signature. Journal of Digital Convergence, 17(3), 389-394. DOI : 10.14400/JDC.2019.17.3.389