본문 바로가기
KERD
논문KCI 등재

기술 준비도와 소비자 준비도가 Self Service Technology 사용동기와 태도 및 사용의도에 미치는 영향

Effects of TR and Consumer Readiness on SST Usage Motivation, Attitude and Intention

0

조회

0

다운로드

49

인용

0

참고문헌

키워드

주제분류경영학

초록

정보기술의 활용이 마케팅 전략의 중요한 부분으로 부각되는 시장 환경에서 본 논문에서는 패스트푸드 레스토랑에서 주문시 Self Service Technology(SST)를 사용 할 때 기술준비도와 소비자 준비도에 따른 사용동기, 태도, 사용의도의 차이를 검증하고자 하였다. Parasuraman이 TRI를 개발한 이후SST와 TRI를 접목한 연구가 이루어져 왔지만 여전히 부족한 실정이다. 소비자 준비도 역시 SST사용에 대한 소비자의 동기와 태도 및 의도와 직접적인 영향을 미칠 수 있지만 이에 대한 연구는 이루어지지 않았다. 이에 본 연구에서는 패스트푸드 레스토랑에서 터치스크린 SST를 도입함에 있어 소비자의 기술준비도와 소비자 준비도가 Dabholkar & Bagozzi(1994)가 제안한 SST 핵심태도모델에 미치는 영향을 고찰하였다. 이때 모든 소비자와 상황적 요인에 따른 차이를 파악하고자 자아의식, 상호작용욕구, 기술에 대한 두려움 등의 소비자특성과 지각된 대기시간, 지각된 과밀 등의 상황적 요인에따른 조절 효과를 검증하였다. AMOS 18.0프로그램을 사용하여 구조방정식 모델로 분석하였고 연구 결과 기술준비도 중 낙관성은 사용용이성과 재미 동기에 유의한 영향을 미치는 것으로 나타났다. 혁신성은 사용용이성과 성과에유의한 영향을 미치는 것으로 나타났다. 역할의 명확성, 능력 및 자아 효능감으로 구성된 소비자준비도는 사용용이성, 성과와 재미 등 모든 SST사용동기 요소에 기술준비도보다 강하고 유의한 영향을미치는 것으로 나타났다. 마지막으로 SST 핵심태도모델 내의 SST 사용 동기, 사용 태도 및 사용의도 간의 관계에서 소비자 특성과 상황적 요인의 조절효과를 검증한 결과 지각된 과밀을 제외한 모든변수들이 조절효과를 지니는 것으로 나타났다. 이러한 연구 결과를 바탕으로 터치스크린 SST를 도입하려는 기업에 실무적 제언을 하였다.

Abstract

Researches about the relationship between SST(Self Service Technology) and TRI(Technology Readiness Index) have been carried out after TRI was developed by Parasuraman and his colleagues (2000). We hypothesize Consumer Readiness can also influence consumer's motivation, attitude, and intent to use SST. Currently, there has been no research on this subject. In this study, we investigated the relationship between TR, Consumer Readiness and SST Core Attitudinal Model which Dabholkar & Bagozzi(1994) proposed. The researchers also investigated moderating effects of consumer traits and situational factors to verify the acceptance of such forms of service delivery by all kinds of consumers and under different situational contexts. Self consciousness, the need for interaction with an employee, and the technology anxiety were used as consumer trait variables. Perceived waiting time and perceived crowding were used as situational variables. 380 questionnaires were distributed to a sample group of people in their 20’s and 30’s, and the data were analyzed with structural equation model using AMOS 18.0 program. All of Cronbach's alpha values representing reliabilities were satisfactory. The values of Composite Reliability(CR) and Average Variance Extracted(AVE) also showed the above criteria, thus providing evidence of convergent validity. To confirm discriminant validity among the constructs, confirmatory factor analysis and correlations among all the variables were examined. The results were satisfactory. The results of this study are summarized as follows. 1. Optimism and innovativeness of TR partially influenced the motivation to use SST. People who tend to be optimistic use SST because of ease of use and fun. The innovative however, usually use SST due to its performance. However, consumer readiness of role clarity, ability and self-efficacy influence all the components of motivation to use SST, ease of use, performance and fun. The relative effect of consumer readiness on the motivation to use SST was much stronger and more significant than that of TR. No other previous studies have examined the effects of Consumer Readiness on SST usage motivation,attitude and intention. It is academically meaningful that the researchers verified that Consumer Readiness is the important precedent construct influencing the self service technology core Attitudinal Model. Our findings suggest that marketers should consider fun and ease of use attributes to promote the use of self service technology. In addition, the SST usage frequency will rise rapidly when role clarity, ability, and self-efficacy which anybody can easily handle SST is assured. If the SST usage rate is increased, waiting times for customers could be decreased. Shorter waiting time could lead to higher customer satisfaction. It may also result in making a long-term profit owing to the reduced number of employees. Thus, presentation of using SST by employees or videos showing how to use it will promote the usage attitude and intent. 2. In SST core attitudinal model, performance and fun factors among SST usage motivation affected attitudes of using SST. The attitude of using SST highly influenced intent to use SST. This result is consistent with previous researches that dealt with the relationship between motivation, attitude and intention. Expectation of using SST could result in good performance just like the effect of ordering menu to service employees and to have fun since fun during its use could promote more SST usage rate. 3. In the relationship among motivation, attitude and intent in SST core attitudinal model, the moderating effect of consumer traits(self-consciousness, need for interaction with service employees and technology anxiety) and situational factors(perceived crowding and perceived waiting time) were tested. The results also supported the hypothesized moderating effects except perceived crowding. The highly self-conscious tended to form attitudes to use SST because of its fun compared to those who were less self-conscious because of its performance. People who had a high need for interaction with service employees tended to use SST for its performance. This result indicates that if ordering results are assured, SST is easily accessible to even consumers who have a high need for interaction with a service employee. When SST is easy to use, attitudes strengthen intent among people who had a high level of anxiety of technology. People who had low technology anxiety formed attitudes to use SST because of its performance. Service firms must ensure their self service technology is designed to be easy to use for those who have a high level of technology anxiety. Shorter perceived waiting times strengthened the attitude to use self service technology because of its fun. If the fun aspect is assured, people willing to use self service technology even perceive waiting time to be shorter than it actually is. Greater perceived waiting times form higher level of intent to use self service technology than those of shorter perceived waiting times. This implies that people view self service technology as a faster alternative to ordering service employees. The fun aspect of self service technology will attract a higher rate of usage for self service technology. 4. It has been proven that ease of use, performance and fun aspects are very important factors in motivation to form attitudes and intent to use self service technology regardless of the amount of perceived waiting time, self-consciousness, need for interaction with service employees, and technology anxiety. Service firms must consider these motivation aspects(ease of use, performance and fun)strongly in their promotion to use self service technology. Ease of use, assuring absolute performance compared to interaction with service employees', and adding a fun aspect will positively strengthen consumers' attitudes and intent to use self service technology. Summarizing the moderating effects,fun is the most valuable factor triggering SST usage attitude and intention. Therefore, designing self service technology to be fun will be the key to its success. This study focused on the touch screen self service technology in fast food restaurant. Although it has its limits due to the fact that it is hard to generalize the results to any other self service technology, the conceptual framework of this study can be applied to future research of any other service site.

참고문헌 (47)

  1. 김도엽, "서비스 특성과 기술준비도가 텔레매틱스 이용 동기와 이용 의도에 미치는 영향", 석사, pp.2009
  2. 민병권, "기술기반 셀프서비스 사용자 수용 요인에 관한 연구", 기술혁신학회지, 13(1), pp.204~231 (2010), 한국기술혁신학회
  3. 한상린, "기술준비도 Self-Service Technology의 사용의도에 미치는 영향", Entrue Journal of Information Technology, 8(2), pp.51~63 (2009), 엘지씨엔에스
  4. Bandura, A, "Self-Efficacy : Toward a Unifying Theory of Behavioral Change", Psychological Review, 84, pp.191~215 (1997)
  5. Bateson, "Perceived Control and the Service Experience In Handbook of Services Marketing and Management", pp.135~ (2000), Sage
  6. Beatson, A, "Determining Consumer Satisfactionand Commitment Through Self-ServiceTechnology and Personal Service Usage", Journal of Marketing Management, 22, pp.853~882 (2006)
  7. Beuningen, J, "Customer Self- Efficacy in Technology-Based Self-Service": Assessing Between-and Within Person Differences", Journal of Service Research, 11(4), pp.407~428 (2009)
  8. Berger, S. C, "Self-Service Technology for Sales Purpose in Branch Banking", International Journal of Bank Marketing, 27(7), pp.488~505 (2009)
  9. Cronin, J. J. Jr, "Measuring service quality : a reexamination and extension", Journal of Marketing, 56(3), pp.55~69 (1992)
  10. Cunningham, L. F, "Consumer views of self-Service technologies", The Service Industries Journal, 28(6), pp.719~732 (2008)
  11. Dabholkar, P. A, "Incorporation Choice Into an Attitudinal Framework: Analyzing Models of Mental Compraison Processes", Journal of Consumer Research, 21, pp.100~118 (1994)
  12. Dabholkar, P. A, "An attitudinal model of technology-basedself-service : moderating effects of consumer traits and situational factors", Journal ofthe Academy of Marketing Science, 30(3), pp.184~201 (2002)
  13. Davis, F. D, "Technology Acceptance Mode for Empirically Testing New End User Information Systems : Theory and Results", 박사, pp.1986
  14. Davis, F. D, "User acceptance of computer technology : a comparison of two theoreticalmodels", Management Science, 35(8), pp.982~1004 (1989)
  15. Easingwood, C. J, "New Product Development for Service Companies", Journal of Product Innovation Management, 3(4), pp.264~275 (1986)
  16. Ellen, P. S, "Resistance to Technological Innovations : Examination of th Role of Self-Efficacy and Performance Satisfaction", Journal of the Academy of MarketingScience, 19(4), pp.297~307 (1991)
  17. Elliott, K. M, "Technology Readiness and The Likelihoodto use self-service technology: Chinese vs.American consumers", The Marketing ManagementJournal, 18(2), pp.20~31 (2008)
  18. Fleming. D. E, "Measuring Corporate Affinity For Technology : A Scale For Customers And Employees", Journal of Personal Selling Sales Management, 30(2), pp.167~179 (2010)
  19. Girman, M, "Faults, Failures and availability in selfservicetechnology", Management service, ~ (2009)
  20. Hill, T, "Role of Efficacy Expectation in Predicting the Decision to Use Advanced Technologies : The Case of Computers", Journal of Applied Psychology, 72(2), pp.307~313 (1987)
  21. Hoffman, D, "Marketing in Hypermedia Computer Mediated Environments : Conceptual Foundations", Journal of Marketing, 60, pp.50~68 (1996)
  22. Jayanti, R. K, "The Antecedents of Preventative Health Care Behavior : An Empirical Study", Journal of the Academy of Marketing Sceience, 26(Winter), pp.6~15 (1998)
  23. Jones, G. R, "Socialization Tactics, Self-Efficacy, and Newcomers' Adjustments to Organizations", Academy of Management Journal, 29(2), pp.262~79 (1986)
  24. Karp. A, "Give Us More: More Passengers want to use more self-service technology", ATW, ~ (2010)
  25. Larsson, R, "Organization and Customer : Managing Design and Coordination of Services", Academy fo Management Review, 14(2), pp.213~33 (1989)
  26. Liljander, V., "Technology readiness and the evaluation and adoption of self-service technologies", Journal of Retailing and Consumer Services, 13, pp.177~191 (2006)
  27. Lin, J, "The role of technology readiness in customers' perception and adoption of self-service technologies", International Journal of Service Industry Management, 17(5) (2006)
  28. MacDonald, J . B, "The effect of technology-mediated communication on industrial buyer behavior", Industrial Marketing Management, 33, pp.107~116 (2004)
  29. Maddux, J. E, "Self-Efficacy Expectancy, OutcomeExpectancy, and Outcome Vlaue : RelativeEffects on Behavioral Intentions", Journalof Personality and Social Psycology, 51, pp.783~789 (1986)
  30. Meuter, M. L, "Choosing Among Alternative Service Delivery Modes : and Investigation of Customer Trial of Self-Service Technologies", Journal of Marketing, 69, pp.61~83 (2005)
  31. Meuter, M. L, "The influence of technology anxiety on consumer use and experiences with self-service technologies", Journal of Business Research, 56(11), pp.899~906 (2003)
  32. Meuter, M. L, "Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters", Journal of Marketing, 64, pp.50~64 (2000)
  33. Oliver, R. L, "Cognitive, affective and attribute bases of the satisfaction response", Journal of Consumer Research, 20(4), pp.418~430 (1993)
  34. Parasuraman, A, "Technology readiness index(TRI) : a multiple-item scale to measure readiness to embrace new technologies", Journal of Service Research, 2(4), pp.307~321 (2000)
  35. Parasuraman, A, "Techno- Ready Marketing: How and Why Your Customers Adopt Technology" (2001), NY
  36. Parasuraman, A, "The Impact of Technology on the Quality-Value-Loyalty Chain : A Research Agenda", Journal of the Academy of Marketing Science, 28(1), pp.168~174 (2000)
  37. Parasuraman, A, "SERVQUAL : a multipleitem scale for assessing electronic service quality", Journal of Retailing, 64(1), pp.12~40 (1988)
  38. Parasuraman, A, "E-S-QUAL : a Multiple-Item Scale For Assessing Electronic Service Quality", Journal of Service Research, 7(3), pp.213~233 (2005)
  39. Parasuraman, A, "Technology Readiness Index(TRI) : A Multiple-Item Scale to Measure Readiness to Embrace New Technologies", Journal of Service Research, 2(4), pp.307~320 (2000)
  40. Shamdasani, P, "Antecedents and dconsequences of service quality in consumer evaluationof self-service internet technologies", TheService Industries Journal, 28(1), pp.117~138 (2008)
  41. Szymanski, D. M, "ESatisfaction : An Initial Examination", Journal of Retailing, 76(3), pp.309~322 (2000)
  42. Venkatesh, V, "A Theoretical extension of the technology Acceptance Model : Four Longitudinal Field Studies", Management Science, 46(2), pp.186~204 (2000)
  43. Venkatesh, V, "Why Don`t Men Ever Stop To Ask For Directions? Gender, Social Influence, and Their Role In Technology Acceptance and Usage Behavior", MIS Quarterly, 24(1), pp.115~140 (2000)
  44. Yang, Z, "Customer perceived value, satisfaction, and loyalty : the role of switching costs", Psychology & Marketing, 21(10), pp.799~822 (2004)
  45. Zeithaml, V. A, "The behavioral consequence ofservice quality", Journal of Marketing, 60(2), pp.31~47 (1996)
  46. Zeithaml, V. A, "Service quality delivery through websites : a critical review of extant knowledge", Journal of the Academy of MarketingScience, 30(4), pp.362~376 (2002)
  47. Zhu, Z, "Self-Service technology effectiveness : the role of design features and individual traits", Journal of the Academy Marketing Science, 35, pp.492~606 (2007)

이 간행물의 다른 논문 (6건)