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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

The Effects of Self-Efficacy and User's Cognitive Factors on Reuse Intention of SNS

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2012, v.29 no.3, pp.145-167
https://doi.org/10.3743/KOSIM.2012.29.3.145



Abstract

The purpose of this study is to examine the causal relationships among self-efficacy, perceived usefulness, perceived ease of use, perceived playfulness, and reuse intention of SNS. The results of data analysis by structured equation model(SEM) indicate that self-efficacy significantly influences individual's perceived ease of use, perceived usefulness and perceived playfulness. Both perceived playfulness and perceived ease of use affects perceived usefulness on SNS. Individual's self-efficacy, perceived playfulness and perceived usefulness affect reuse intention of SNS. Based on the results, the theoretical and practical implications of this study are discussed.

keywords
Social Network Services(SNS), self-efficacy, perceived usefulness, perceived ease of use, perceived playfulness, reuse intention, 소셜 네트워크 서비스, 자기효능감, 인지된 즐거움, 인지된 유용성, 인지된 사용 용이성, 재사용 의도, Social Network Services(SNS), self-efficacy, perceived usefulness, perceived ease of use, perceived playfulness, reuse intention

Reference

1.

가명호. (2010). Social Networking Sites Usage and Revisiting: An Empirical Study on User Behaviors in China. 인터넷전자상거래연구, 10(4), 193-219.

2.

구자철. (2006). 모바일뱅킹에서의 사용자 수용요인: 확장된 TAM과 Trust를 이용한 실증연구. Asia Pacific Journal of Information Systems, 16(2), 159-181.

3.

김경규. (2009). 모바일 웹 브라우징 서비스의 사용 의도에 영향을 미치는 요인:자기효능감과 사회적 영향. Journal of Information Technology Applications & Management, 16(1), 149-168.

4.

김계수. (2004). AMOS 구조방정식 모형분석:SPSS 아카데미.

5.

김근형. (2012). SNS사용자 만족도의 영향요인 도출 및 서비스 형태별 비교 분석. 인터넷전자상거래연구, 12(1), 125-143.

6.

남종훈. (2007). DMB의 수용결정요인에 관한 연구:위성 DMB와 지상파 DMB의 비교를 중심으로. 언론과학연구, 7(2), 143-188.

7.

박현정. (2011). 와이브로 서비스 이용동기와 이용의도의 영향관계: 전문지식, 편재성의 조절적 영향을 중심으로. 상품학연구, 29(1), 67-78.

8.

서우종. (2010). SNS 웹 사이트의 품질요인이 사용자 만족, 지속적 사용의도 및 구전의도에 미치는 영향에 대한 실증 연구. 산업혁신연구, 26(1), 99-132.

9.

성혜진. (2012). 외식소비자 SNS 정보품질특성이 만족과 지속적 이용의도에 미치는 영향: 확장된 기술수용모델(ETAM)을 중심으로. 관광레저연구, 24(2), 197-216.

10.

오상현. (2006). 기술수용모델의 확장과 인터넷뱅킹 이용행동에 관한 연구: 신뢰와 적합성의 역할을 중심으로. 경제연구, 24(1), 175-206.

11.

유일. (2004). 인터넷뱅킹시스템 이용의 영향요인에 관한 실증연구. 산업경제연구, 17(6), 2383-2404.

12.

윤지은. (2006). 디지털콘텐츠 특성의 이용자 지각과 이용의도에 관한 연구.

13.

윤지은. (2006). 디지털콘텐츠 특성의 사용자 지각과 사용의도에 관한 연구. 직업과 고용서비스연구, 4(2), 39-61.

14.

진창현. (2011). 소셜 미디어의 수용결정요인에 대한 연구* -자기효능감, 자기표현, 사회문화적 영향을 중심으로-. 산업경제연구, 24(3), 1295-1321.

15.

차상민. (2011). 소셜 네트워크 서비스의 특성이 몰입에 미치는 영향에 관한 연구.

16.

최은정. (2012). SNS의 불이 꺼지고 있는가?: SNS의 지속 이용 모형에 관한 연구. 한국심리학회지: 소비자·광고, 13(2), 229-253.

17.

홍석인. (2010). 블로그 사용의도에 영향을 미치는 사회 동기적 요인. 한국콘텐츠학회 논문지, 10(1), 122-137.

18.

Agarwal, R.. (2000). Time flies when you're having fun : Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.

19.

Bandura, A.. (1994). Self-efficacy. Encyclopedia of Human Behavior, 4, 71-81.

20.

Benham, H. C.. (2008). An empirical exploration of software development quality. Issues in Information Systems, 9, 267-271.

21.

Bhattacherjee, A.. (2001). Understanding information systems continuance : An expectationconfirmation model. MIS Quarterly, 25(3), 315-370.

22.

Compeau, D.. (1995). Computer self-efficiency : Development of measure and initial test. MIS Quarterly, 1(19), 189-211.

23.

Davis, F. D.. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results.

24.

Davis, F. D.. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

25.

Davis, F. D.. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 111-1132.

26.

Davis, F. D.. (1989). User acceptance of computer technology : A comparison of two theoretical models. Management Science, 35(8), 982-1003.

27.

Dishman, R. K.. (2005). Self-management strategies mediate self-efficacy and physical activity. American Journal of Preventive Medicin, 29(1), 10-18.

28.

Fornell, C.. (1981). Evaluating structural equation model with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 116-142.

29.

Gefen, D.. (2003). Trust and TAM in online shopping : An integrated mode. MIS Quarterly, 27(1), 51-90.

30.

Hair, J. F.. (1998). Multivariate data analysis:Prentice-Hall.

31.

Kang, Y.. (200901). Exploring continued online service usage behavior: The roles of self-image congruity and regret. COMPUTERS IN HUMAN BEHAVIOR, 25, 111-122.

32.

권오병. (201003). An empirical study of the factors affecting social network service use. COMPUTERS IN HUMAN BEHAVIOR, 26(2), 254-263.

33.

Lee, Y. C.. (2008). The role of perceived resources in online learning adoption. Computer & Education, 50, 1423-1438.

34.

Lin, C. S.. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42, 683-693.

35.

Lin, K. Y.. (2011). Why people use social networking sites : An emprirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161.

36.

Mathieson, K.. (1991). Predicting user intentions : Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.

37.

김영걸. (200102). Extending the TAM for a World-Wide-Web context. INFORMATION & MANAGEMENT, 38(4), 217-230.

38.

Pai, F. Y.. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technology Forecasting & Social Change, 78, 650-660.

39.

Ramayah, T.. (2004). Role of self-efficacy in e-library usage among students of a public university in Malaysia. Malaysian Journal of Library & Information Science, 9(1), 39-57.

40.

Suki, N. M.. (2011). Subscribers' intention towards using 3G mobile services. Journal of Economics and Behavioral Studies, 2(2), 67-75.

41.

Sung, J.. (2010). Toward a more robust usability concept with perceived enjoyment in the context of mobile multimedia service. International Journal of Human Computer Interaction, 1(2), 12-32.

42.

Taylor, S.. (1995). Assessing IT usage : The role of prior experience. MIS Quarterly, 19(2), 561-570.

43.

Venkatesh, V.. (1999). Creating favorable user perceptions : Exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239-260.

44.

Venkatesh, V.. (2000). A theoretical extension of the technology acceptance model : Four longitudinal field studies. Management Science, 46(2), 186-204.

45.

Wei, L.. (2008). The impact of Internet knowledge on college students' intention to continue to use the Internet. Information Research, 13(3), -.

46.

이문용. (200310). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 59(4), 431-449.

47.

Zhou, T.. (2011). Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior, 27, 883-889.

Journal of the Korean Society for Information Management