바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

The influence of perceived usefulness and perceived ease of use of experience store on satisfaction and loyalty

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2011, v.9 no.3, pp.5-14
https://doi.org/https://doi.org/10.15722/jds.9.3.201109.5
Lee, Ji-Hyun

Abstract

One of the new roles of modern retail stores is to supply consumers with a memorable experience. In Korea, enhancing a store's environment so that customers remember a unique shopping experience is recognized as a sound strategy for strengthening the store's competitiveness. Motivated by this incentive, awareness of the experience-store concept is starting to increase in various categories of the retail industry. However, many experience stores, except in a few cases, have yet to derive a significant profit, explaining why Korean consumers are somewhat unfamiliar with, yet fascinated by, the experience stores that now exist in the country. Consumer satisfaction directly, and indirectly, affects a company's future profit and potential financial gain; customer satisfaction also affects loyalty. Therefore, knowing the significant factors that increase satisfaction and loyalty is essential for any company, in any field, to be able to effectively differentiate itself from the competition. Intrigued by increased competition opportunities, most Korean companies have adopted experience-store marketing strategies. When establishing the most effective processes for increasing sales and achieving a sustainable competitive advantage of a new concept, companies should consider certain factors that influence consumers' ability to accept new concepts and ideas. The Technology Acceptance Model (TAM) is a theory that models how people accept new concepts. TAM proposes the following two factors that influence a person's decisions about how, and when, he or she will use a new product: "perceived usefulness" and "perceived ease of use." Much of the existing research has suggested that a person's character also affects the process for accepting new ideas. Such personal character attributes as individual preferences, self-confidence, and a person's values, traits, and/or skills affect the process for willingly consenting to try something new. It will be meaningful to establish how the TAM theory's components, as well as personal character, affect individuals accepting the experience-store concept. To that end, as it pertains to an experience store, the first goal of the study is to examine the influence of innovative factors (perceived usefulness and perceived ease of use) on satisfaction and loyalty. The second objective is to define the moderate effect of consumers' personal characteristics on the model. The proposed model was tested on 149 respondents who were engaged in leisure sports activities and bought sports outdoor garments and equipment. According to the study's findings, the satisfaction and loyalty of an experience store can be explained by perceived usefulness and perceived ease of use, with the study's results demonstrating the stronger of the two factors being "perceived ease of use." The study failed to explain the effects of a person's character on the model. In conclusion, when the companies that operate the experience stores execute their marketing and promotion strategies, they should stress the stores' "ease of use" product components. Additionally, it can be extrapolated from the study data that since the experience-store idea is still relatively unfamiliar to Korean consumers, most customers are not yet able to evaluate, nor take a position regarding, their respective attitudes toward experience stores.

keywords
체험매장, 지각된 유용성, 지각된 용이성, 만족, 충성도

Reference

1.

구동모 (2003), “혁신기술수용모델(TAM)을 응용한 인터넷쇼핑행동 고찰” 경영정보학연구, 제13권 제13호, 141-170.

2.

김명소, 서화정 (2001), “전자상거래에서의 신기술 수용성 모형 검 증 및 확장” 한국심리학회지: 산업 및 조직, 제14권 제1 호, 77-100.

3.

김미량 (2003), “주부들의 인터넷 쇼핑 활용 및 만족에 관한 연구” 한국가정관리학회지, 제21권 제3호, 123-131.

4.

김성혁, 김용일, 서용은 (2009), “여행상품 전자상거래 구매자의 여 행사 웹사이트 고객만족에 관한 연구 -TAM(기술수용모델) 적용-", 호텔경영학연구, 제18권 제2호, 151-166.

5.

김영국, 장형유 (2010), “AM요인, SERVQUAL요인, 웹서비스품질 요인이 인터넷뱅킹의 신뢰와 만족 및 재이용의도에 미치 는 영향” 서비스경영학회지, 제11권 제 1호, 131-157.

6.

김원겸, 범경기, 윤명길 (2007), “한·중 소비자의 할인점 점포선택 행동 비교,”유통과학연구, 제5권 제1호, 41-56.

7.

김치헌, 김준석 (2003), “인터넷 오락 서비스의 유용성, 용이성, 명 성, 그리고 유료화가 그 서비스 사용에 미치는 영향” 경 영정보학연구, 제13권 제3호, 85-106.

8.

나운규, 홍병숙 강성민 (2008), “인터넷 쇼핑에서의 지각된 가치와 위험이 패션상품 구매의도에 미치는 영향에 관한 연구” 한국의류학회지, 제32권 제8호, 1213-1225.

9.

박관희 (2006), “온라인 쇼핑몰의 사용 의도에 영향을 미치는 선행 변수에 관한 통합연구: 기술수용모델(TAM)2의 확장모델” 정보시스템연구, 제15권 제4호, 55-72.

10.

박성연, 배현경 (2006), “매장 내 감각적 체험이 매장태도와 애호 도에 미치는 영향: 소비감정과 만족의 매개적 영향을 중심 으로” 마케팅관리연구, 제11권 제3호, 1-13.

11.

박성연, 이유경 (2006), “브랜드 개성과 자아이미지 일치성이 소비 자 만족, 소비자-브랜드관계 및 브랜드 충성도에 미치는 영향: 한국 소비자들의 브랜드개성과 소비자-브랜드관계 유형 인식을 중심으로” 광고학연구, 제17권 제1호, 7-24.

12.

박성연, 황정은 (2005), “매장 내 체험적 경험이 브랜드 태도 및 구매의도에 미치는 영향: 디지털 체험관을 중심으로” 이 화여자대학교 경영논총, 제23권 제2호, 69-94.

13.

박철주, 정태석 (2011), “혁신적인 소매업태의 출현과 발전방안에 관한 연구” 유통과학연구, 제9권 제1호, 29-38.

14.

서건수 (2008), “인터넷 쇼핑몰 수용에 있어 수용자 능력의 조절효 과 분석” 경영정보학연구, 제18권 제4호, 27-55.

15.

서구원, 민형철 (2009), “복합문화공간형 유통매장에서의 체험과 소비자 태도” 서울도시연구, 제10권 제4호, 143-158.

16.

오상현, 김상현 (2006), “기술수용모델의 확장과 인터넷 뱅킹 이용 행동에 관한 연구: 신뢰와 적합성의 역할을 중심으로” 경 제연구, 제24권 제1호, 175-205.

17.

오창규, 정활식 (2004), “의사결정 상황을 반영한 기술수용모형 (TAM)의 평가” 경영학연구, 제33권 제3호, 839-863.

18.

염창선, 홍재범 (2004), “인터넷뱅킹의 고객만족에 영향을 미치는 요인에 대한 실증적 연구” IE Interface, 제17권 제3호, 305-313.

19.

유재현, 박철 (2010), “기술수용모델 연구에 대한 종합적 고찰” Entrue Journal of Information Technology, 제9권 2호, 31-50.

20.

윤성준 (2010), “점포충성도와 충둥구매에 있어서의 소비체험의 역 할” 서비스경영학회지, 제11권 제5호, 257-281.

21.

윤주, 김태구, 김덕기 (2007), “관광지식정보시스템 수용결정요인 검증” 호텔경영학연구, 제16권 제3호, 15-34.

22.

이문규 (1999), “서비스 충성도의 결정요인에 관한 연구” 마케팅 연구, 제14권 제1호, 21-45.

23.

이미혜 (2010), “항공사 서비스품질이 가치 및 충성도에 미치는 영 향” 관광연구, 제25권 제5호, 101-122.

24.

이연수 (2005), “쇼핑공간의 변신에 주목하라” LG주간경제, 경영 정보, 3-7.

25.

이유재, 이지영 (2004), “브랜드 동일시, 브랜드 감정, 브랜드 로열 티의 관계에 관한 연구: 실용적 제품과 쾌락적 제품간의 비교” 광고연구, 제65권, 101-125.

26.

정철호, 강준규, 한재용 (2006), “모바일 환경하에서 모바일 인터넷 특성이 고객만족 및 충성도에 미치는 영향에 관한 연구” 마케팅논집, 제14권 제4호, 77-107.

27.

주지혁, 최명일, 김봉철, (2008), “성인 여성의 TV 홈쇼핑 속성 인 식이 시청만족도 및 구매의도에 미치는 영향 : 지각된 용 이성, 지각된 위험, 지각된 유용성을 중심으로” 광고학연 구, 제19권 제1호, 37-53.

28.

홍순근 (2008), “-비즈니스 일반: 정보시스템 수용의 외생적 및 내 재적 동기의 효과에 대한 개인적 관여도의 조절효과” e- 비즈니스연구, 제9권 제3호, 65-83.

29.

Aaker, D. & Day, G. (1978), “Consumerism: Search for the Consumer Interest”, New York: MacMillan Publishing, Co.

30.

Adams, D., Nelson, R. & Todd, P. (1992), “Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication”, MIS Quarterly, 16(2), 227-247

31.

Agarwal, R. & Karahanna, E. (2000), “Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology”, MIS Quarterly, 24(4), 665-694.

32.

Agarwal, R. & Prasad, J. (1997), “The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies”, Decision Sciences, 28(3), 557-582.

33.

Ajzen, I. & Fishbein, M. (1980), "Understanding Attitudes and Predicting Social Behavior", Englewood Cliff, NJ:Prentice‐Hall

34.

Anandarajan, M., Igbaria, M. & Anakwe, U. P. (2002), “IT acceptance in a less-developed country: a motivational factor perspective”,International Journal of Information Management, 22(1), 47-65.

35.

Anderson, J. C., & Gerbing, D. W. (1988), “Structural equation modeling in practice: A review and recommended two-step approach”, Psychological Bulletin, 103 (3), 411-423.

36.

Bai, B., Law. R. & Wen. I. (2008), "The Impact of Website Quality on Consumer Satisfaction and Purchase Intentions: Evidence from Cinese Online Visitors", International Journal of Hospitality Management, 27(3), 391-402

37.

Blodgett, J. G., Hill, D. J. & Tax, S. S. (1997), “The effect of distributive, procedural, and interactional justice on postcomplaint behavior", Journal of Retailing, 73(2), 15-210.

38.

Chin, W. & Todd, P. A. (1995), “On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research:A Note of Caution”, MIS Quarterly, 19(2), 237-246.

39.

Choi, N. H. & Park, D. S. (2011), "Individual Brand Loyalty and the Self-Corporate Connection induced by Corporate Associations" Journal of Distirbution Science, 9(1), 5-16.

40.

Darsono, L. I. (2005), "Examining Information Technology Acceptance by Individual Professionals", Gadjah Mada International Journal of Business, 7(2), 155—178.

41.

Davis, F. D. (1989), “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology”, MIS Quarterly, 13(3), 319-339

42.

Davis, F. D., Bagozzi, R. P. & Warsaw, P.R. (1992), "Extrinsic and Intrinsic Motivation to Use Computers in the Workplace", Journal of Applied Social Psychology, 22(14), 1111-1132

43.

Dhar, R. & Wertenbroch, K. (2000), “Consumer Choice Between Hedonic and Utilitarian Goods”, Journal of Marketing Research, 37(1), 60~71.

44.

Dolen, W. V., Lemmink, J., Mattson J. & Rhoen, I. (2001), "Affective Consumer Response in Service Encounter: The Emotional Content in Narratives of Critical Incidents", Journal of Economics Psychology Marketing, 22, 359-376.

45.

Fishbein, M. & Ajzen, I. (975), “Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research”, reading, MA: Addison-Wesley

46.

Fornell, C. (1992). "A national customer satisfaction barometer: The swedish experience", Journal of Marketing, 56(1), 6-21.

47.

Fornell, C. & Larcker, D.F. (1981), "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error", Journal of Marketing Research, 18(1), 39-50.

48.

Gefen, D. & Straub, D. W. (1997), “Gender Differences in the Perception and Use of e‐Mail:An Extension to the Technology Acceptance Model”, MIS Quarterly, 21(4),389-400

49.

Gremler, D. D. & Brown, S. W. (1999), “The Loyalty Ripple Effect: Appreciating the Full Value of Customers,” International Journal of Service Industry Management, 10(3), 271-291

50.

Hendrickson, A. R., Massey, P. D. & Cronan, T. P. (1993), “On the test-retest reliability of perceived usefulness and perceived ease of use scales”, MIS Quarterly, 17, 227-230.

51.

Henning-Thurau, T., Gwinner, K. & Gremler, D. (2002), "Understanding relationship marketing outcomes: An integration of relational benefits and relationship quality", Journal of Service Research, 4(3), 230-247

52.

Holbrook, M. B. & Hirschman, E. (1982), “The Experiential Aspects of Consumption: Consumer Fantasies, Feelings and Fun", Journal of Consumer Research, 9(2), 132~140.

53.

Hossain, M. & Prybutok, V.R. (2008), "Consumer acceptance of RFID technology: an exploratory study", IEEE Transactions on Engineering Management, 55(2), 316-328.

54.

Hosany, S. & Witham, M. (2009), "Dimensions of Ccruisers’ Experiences, Satisfaction and Intention to Recommend. Working paper(SoMWP–0905)", School of Management, Royal Holloway University of London.

55.

Howard, J. A. & Sheth, J. N. (1969), “The theory of buyer beahvior”, New York: wiley, 145-150.

56.

Jones, T. O. & Sasser, W. E. (1995), “Why Satisfied Customers Defect,” Harvard Business Review, 73(6), 88-91.

57.

Kerin, R. A., Jain, A. and Howard, D. J. (1992), "Store Shopping Experience and Consumer Pric-Quality-Value Personations",Journal of Retailing, 68(4), 376-397.

58.

Kim, S. (2008), “Moderating effects of job relevance and experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals”, Information & Management, 45,387-393

59.

Lee, J. & Bea, M. (2006), “The Impact of Interpersonal Relationships on Department Stores Customer Satisfaction and Trust, Loyalty", Journal of Distribution Science, 4(1), 27-52

60.

Lee, J. W. & Kim, Y. E. (2009), "Perceived Interaction in Online Classes and Technology Acceptance Model to Student Satisfaction", Journal of Distribution Science, 7(3), 25-48.

61.

Lee, Kyeung-Keun & Noh, Young (2009), “Exploring factors affecting the mobile payment - Focus on factors related to risk and trust -“, The e-Business Studies, 10(3), 281~301.

62.

Lewis, W., Agarwal, R. & Sambamurthy, V. (2003), “Source of influence on beliefs about information technology use: an empirical study of knowledge workers”, MIS Quarterly, 27(4),657-678

63.

Li, J. Q. & Huaying S. (2008), "A Study on Customer Satisfaction in Mobile Telecommunication Market by Using SEM and System Dynamic Method", Research and Practical Issue of Enterprise Information System Ⅱ, 255, 1221-1227.

64.

Lippert, S. K. & Volkmar, J. A. (2007), “Cultural effects on technology performance and utilization: a comparison of U.S. and Canadian users”, Journal of Global Information Management,15, 56–90.

65.

McCoy S., Everard A. & Jones B. (2005), “An examination of the technology acceptance model in Uruguay and the U.S.: a focus on culture”, Journal of Global Information Technology Management, 8(1), 27-45.

66.

Moore, G. & Benbasat, I. (1991), “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation”, Information Systems Research, 2(3),192-222.

67.

Oliver, R. L. (1980), “A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions,” Journal of Marketing Research, 17(4), 460-469.

68.

Oliver, R. L. (1997), “Satisfaction: A Behavioral Perspective on the Customer”, McGraw-Hill, International Editions

69.

Ong, C. H. & Lai, J. Y. (2006), “Gender differences in perceptions and relationships among dominants of e-learning acceptance”, Computers in Human Behavior, 22(5), 816-829.

70.

Park, Y. & Kim, P. (2007), “Effects of Relation Benefits Factors on Salesperson, Enterprise Satisfaction and Customer Loyalty”, Journal of Distribution Science, 5(1), 23-40.

71.

Pine, B. J. & Gilmore, J. H. (1998), “Welcome to the Experience Economy", Harvard Business Review, 76(4), 97~105.

72.

Reichheld, F. F. (1996), “Learning from Customer Defections,” Harvard Business Review, 74(1), pp.56-69.

73.

Rogers, E. M. (1995), “Diffusion of Innovation(4th Ed.)”, NY: Free Press.

74.

Straub, D., Keil, M. & Brenner, W. (1997), “Testing the Technology Acceptance Model across cultures: A three country study”, Information & Management, 33, 1-11.

75.

Taylor, S. & Todd, P. (1995), "Assessing IT Usage: The Role of Prior Experience", MIS Quarterly, 19(4), 561-570.

76.

Tsaur, S., Chiu, Y. & Wang, C. (2006), “The visitors' Behavioral Consequences of Experiential Marketing: An Empirical Study on Taipei Zoo", Journal of Travel and Tourism Marketing, 21(1), 47~64.

77.

Venkatesh, V. (1999), “Creation of Favorable User Perception: Exploring the Role of Intrinsic Motivation”, MIS Quarterly,23(2), 239-260.

78.

Venkatesh, V. (2000), “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model”, Information Systems Research, 11(4), 342-365.

79.

Venkatesh, V., Morris, M., Davis, G. & Davis, F. (2003), “User Acceptance of Information Technology: Toward a Unified View”, MIS Quarterly, 27(3), 425-478.

80.

Venkatesh, V. & Davis, F. (2000), “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”, Management Science, 46(2), 186-204.

81.

Yoon, Y. & Uysal, M. (2005), “An Examination of the Effects of Motivation and Satisfaction on Destination Loyalty: A Structural Model", Tourism Management, 26, 45-56.

The Journal of Distribution Science