Browse > Article
http://dx.doi.org/10.15813/kmr.2020.21.4.009

Empirical Study of Determinants Influencing Intention to Recommend Contents Based on Information System Success Model  

Kim, Sanghyun (Kyungpook National University)
Park, Hyunsun (Kyungpook National University)
Publication Information
Knowledge Management Research / v.21, no.4, 2020 , pp. 175-193 More about this Journal
Abstract
With the proliferation of information technology communication and smart device, the environment where contents are produced and distributed is changing. People can use the contents quickly and easily, and the content industry is attracting attention and creating newly added value by converging with other industries. Accordingly, there is a need for content-related companies to understand the quality of content perceived by users in order to succeed in content, and to use it strategically. Therefore, this study aims to examine the relationship between content quality factors, user satisfaction, and recommendation intention through empirical analysis based on an IS success model. The analysis was conducted using smartPLS3.0 based on a total of 301 survey responses. As a result of the study, it was found that content usefulness, accessible system quality, convenient system quality, service provider trust, and interaction had a significant effect on user's satisfaction. Perceived privacy protection had a significant effect on user satisfaction and recommendation intention. Lastly, it was found that user satisfaction had a significant effect on recommendation intention. The results of this study are expected to provide useful information and therefore content companies can understand about the quality perceived by users.
Keywords
Digital Contents; Contents Quality; System Quality; Service Quality; User Satisfaction; Recommendation Intention;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
연도 인용수 순위
1 김해석 (2018). 4차 산업혁명 시대, 디지털콘텐츠 산업 생태계. 정보통신산업진흥원 이슈리포트, 24, 1-16.
2 박경자 (2016). 디지털콘텐츠 불법 파일공유에 관한 사회문화적 접근. 지식경영연구, 17(1), 113-133.
3 박지혜 (2019). 5G 시대, 콘텐츠산업의 변화와 시사점. KIET산업경제.
4 방춘봉, 이돈곤, 한경석 (2015). 온라인 게임의 콘텐츠 특성과 운영 서비스품질이 유저의 지속이용의도 및 구전의도에 미치는 영향에 관한 연구: 온라인 스포츠 게임을 중심으로. Journal of Korea Game Society, 15(1), 101-114.   DOI
5 신용재, 이동현 (2016). 디지털 문화 콘텐츠 산업이 지식경제사회에 미치는 파급효과 분석. 지식경영연구, 17(1), 73-89.
6 심동녁 (2019). 디지털 콘텐츠 이용현황: 유료 서비스 이용자를 중심으로. KISDI STAT Report, 19(15), 1-9.
7 양성수, 김인호, 정철 (2016). 디지털음악 콘텐츠서비스의 수용 요인이 지각된 가치와 고객만족에 미치는 영향. 한국콘텐츠학회논문지, 16(11), 456-463.   DOI
8 양정애, 송인덕 (2018). 온라인 관여가 디지털 유료 콘텐츠 이용에 미치는 영향. 한국콘텐츠학회논문지, 18(9), 469-481.
9 이윤선, 서창적, 이혜정 (2019). 1인 미디어 서비스품질이 사용자만족과 지속사용의도에 미치는 영향: YouTube를 중심으로. 한국IT서비스학회지, 18(5), 99-117.   DOI
10 임상수, 김행선 (2020). 콘텐츠산업의 지역경제 파급효과에 관한 연구. 한국신용카드학회지, 14(3), 14-33.
11 전선호, 강주영, 임재익 (2014). 정보시스템 성공모형을 기반으로 한 모바일월렛 지속사용의도에 미치는 영향 요인 분석. 한국IT서비스학회지, 13(4), 325-340.   DOI
12 최성국, 양성병 (2020). O4O 선택속성이 고객만족도 및 고객충성도에 미치는 영향: 중국 허마셴셩 사례를 중심으로. 지식경영연구, 21(3), 249-269.   DOI
13 한국콘텐츠진흥원 (2020). 가상현실 콘텐츠 산업 실태조사용역.
14 Alrsashdeh, M., Jahmani, A., Ibrahim, B., & Aljuhmani, H. Y. (2020). Data to model the effects of perceived telecommunication service quality and value on the degree of user satisfaction and e-WOM among telecommunications users in North Cyprus. Data in Brief, 28, 1-10.
15 Chen, S. C., Yen, D. C., & Hwang, M. I. (2012). Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. Computers in Human Behavior, 28(3), 933-941.   DOI
16 Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388.   DOI
17 Chin, W. W., & Marcolin, B. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from an Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217.   DOI
18 DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.   DOI
19 DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.   DOI
20 Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 91-109.
21 조세형, 이충무 (2012). 온라인 구매사이트의 정보콘텐츠가 정보서비스만족도 및 구매의도에 미치는 영향: 영화상품을 중심으로. 한국콘텐츠학회논문지, 12(7), 323-335.   DOI
22 Kim, Y., Wang, Q., & Roh, T. (2020). Do information and service quality affect perceived privacy protection, satisfaction, and loyalty? Evidence from a Chinese o2o-based mobile shopping application. Telematics and Informatics, 15, 101483.
23 Landrum, H., Zhang, X., Prybutok, V., & Peak, D. (2009). Measuring is system service quality with SERVQUAL: Users' perceptions of relative importance of the five SERVPERF dimensions. Informing Science: The International Journal of an Emerging Transdiscipline, 12, 17-35.   DOI
24 Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187.   DOI
25 Lee, M., Lee, S. A., Jeong, M., & Oh, H. (2020). Quality of virtual reality and its impacts on behavioral intention. International Journal of Hospitality Management, 90, 102595.   DOI
26 Li, H., Sarathy, R., & Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, 51(1), 62-71.
27 Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
28 Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10). doi:10.1016/j.heliyon.2019.e02690   DOI
29 Seddon, P. B., & Kiew, M. Y. (1994). A partial test and development of the DeLone and McLean's model of IS success. Proceedings of the International Conference on Information Systems, 15, 99-110.
30 Wang, W. T., Ou, W. M., & Chen, W. Y. (2019). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44, 178-193.   DOI
31 Wang, Y. S., Tseng, T. H., Wang, W. T., Shih, Y. W., & Chan, P. Y. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19-30.   DOI
32 Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.   DOI