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Recommender’s Personal Influence in the Context of Curation Service: Focusing on the interaction effect between regulatory focus and recommender’s homophily cue

Abstract

There have been two different theories which result in conflicting predictions regarding the influence of homogeneous and heterogeneous recommenders. While homophily principle emphasizes the importance of a homogeneous recommender, diffusion model argues vice versa. The present study tried to integrate these two theories especially in the context of social curation service. Regulatory focus is suggested as a moderator variable which moderates the effect of recommenders’ homophily cue on information seeking intention in the short and long terms, and their personal influence. An experiment was conducted in order to test the hypotheses. The result generally supported homophily principle. However, there was a significant interaction effect between recommenders’ homophily cue and participants’ regulatory focus. As hypotheses expected, the promotion focused group sought heterogeneous recommenders more often compared to the prevention focused group did. Moreover, promotion focused participants preferred recommendations given by heterogeneous recommenders over homogeneous recommenders. They also reported higher intention to accept heterogeneous recommenders’ recommendations. The prevention focused group, on the other hand, reported preference and higher intention to accept homogeneous recommenders’ recommendations over that of heterogeneous recommenders. Theoretical and practical implications were further discussed.

keywords
regulatory focus, promotion focus, prevention focus, homophily principle, diffusion model, curation service, personal influence

Reference

1.

권재광, 최성우, 유제현, 정인영, 정병희 (2014). TVzzik: 방송콘텐츠의 실시간 캡처 및 소셜 큐레이션 서비스. 한국방송공학회 학술발표대회 논문집, 182-185.

2.

권재광, 최성우, 유제현, 정인영, 정병희 (2015). 방송콘텐츠의 소셜 큐레이션 서비스. 한국방송공학회 학술발표대회 논문집, 187-190.

3.

김경민, 김경진 (2010). 친분 없는 구전의 영향력에 대한 소비자의 과도한 조정 효과에 관한 연구. 마케팅연구, 25(3), 71-95.

4.

박탄우, 이경렬 (2014). SNS 상의 온라인 구전의 정보처리과정에 관한 통합모형의 개발에 관한 연구. 광고연구, (100), 172-224.

5.

이경종, 공기현, 이상구 (2007). 사용자 선호도와 태그 간 상관도 분석을 통한 태그 기반 협력적 필터링 기법. 한국정보과학회 학술발표논문집. 한국정보과학회, 34(2), 72-77.

6.

이미아, 이유재 (2012). 소비자 지식이 사고체계와 온라인 탐색경향에 미치는 영향. 소비자학연구, 23(1), 115-142.

7.

이시내, 이경렬 (2013). SNS 이용자들의 온라인 구전(eWOM) 행동에 영향을 미치는 요인에 관한 연구. 한국광고홍보학보, 15(4), 273-315.

8.

이해성, 권준희 (2013, 03). 빅 데이터 시대의 개인화 데이터 큐레이션에 대한 연구. KIIT Summer Conference, 124-127.

9.

최자영, 이수원, 장은영, 한정석 (2012). 조절초점성향에 따른 온라인 정보탐색 행동의 차이 분석: 상품후기 참조, 탐색대안의 수 및 탐색의 깊이. 마케팅관리연구, 17(3), 1-24.

10.

트렌드모니터 (2015). 2015 큐레이션 앱 인식 조사 https://www.trendmonitor.co.kr/tmweb/ trend/allTrend/detail.do?bIdx=1321&code=0201&trendType=CKOREA.

11.

BDT 인사이트 (2014). 2013년 전세계에서 생성된 디지털 데이터 4.4조 기가바이트(GB), 2020년에는 44조 기가바이트(GB)에 달할 것으로 예측. https://korea.emc.com/about/ news/press/2014/20140410.htm

12.

Berger, C. R., & Larimer, M. W. (1974, April). When Beauty is Only Skin Deep: The Effects of Physical Attractiveness, Sex and Time on Initial Interaction. In annual convention of the international Communication Association, New Orleans.

13.

Brock, T. C. (1965). Communicator-Recipient Similarity and Decision Change. Journal of Personality and Social Psychology, 1(6), 650-654.

14.

Brown, J. J., & Reingen, P. H. (1987). Social Ties and Word-of-Mouth Referral Behavior, Journal of Consumer Research, 14(3), 350-362.

15.

Byrne, D. (1961). Interpersonal Attraction and Attitude Similarity. The Journal of Abnormal and Social Psychology, 62(3), 713.

16.

Chang, S., Kumar, V., Gilbert, E., & Terveen, L. G. (2014, February). Specialization, Homophily, and Gender in a Social Curation Site: Findings from Pinterest. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing (pp.674-686). ACM.

17.

Chu, S. C., & Kim, Y. (2011). Determinants of Consumer Engagement in Electronic Word-of-Mouth(eWOM) in Social Networking Sites, International Journal of Advertising, 30(1), 47-45.

18.

Gatignon, H., & Robertson, T. S. (1985). A Propositional Inventory for New Diffusion Research. Journal of Consumer Research, 11(4), 849-867.

19.

Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. J. (1998). A Dyadic Study of Interpersonal Information Search. Journal of the Academy of Marketing Science, 26(2), 83-100.

20.

Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360- 1380.

21.

Higgins, E. T. (1995). Accessibility and Applicability: Some “Activation Rules” Influencing judgment. Journal of Experimental Social Psychology, 31(3), 218-243.

22.

Higgins, E. T. (1997). Beyond Pleasure and Pain. American Psychologist, 52(12), 1280.

23.

Liberman, N., Molden, D. C., Idson, L. C., & Higgins, E. T. (2001). Promotion and Prevention Focus on Alternative Hypotheses: Implications for Attributional Functions. Journal of Personality and Social Psychology, 80(1), 5.

24.

Lui Abrantes, J., Seabra, C., Raquel Lages, C., & Jayawardhena, C. (2013). Drivers of In-Group and Out-Group Electronic Word-of-Mouth (eWOM). European Journal of Marketing, 47(7), 1067-1088).

25.

McCroskey, J. C., Richmond, V. P., & Daly, J. A. (1975). The Development of a Measure of Perceived Homophily in Interpersonal Communication. Human Communication Research, 1(4), 323-332.

26.

McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology, 27(1), 415-444.

27.

Pham, M. T., & Higgins, E. T. (2005). The State of the Art and Theoretical Propositions. Inside Consumption: Consumer Motives, Goals, and Desires, 8.

28.

Prisbell, M., & Andersen, J. F. (1980). The Importance of Perceived Homophily, Level of Uncertainty, Feeling Good, Safety, and Self-Disclosure in Interpersonal Relationships. Communication Quarterly, 28(3), 22-33.

29.

Rogers, E. M., & Bhowmik, D. K. (1969). Homophily-Heterophily: A Call for Relational Analysis in Communication Research. Public Opinion Quarterly, 34(4), 523-538.

30.

Rosario, A. B., Sotgiu, F., De Valck, K., & Bijmolt, T. H. (2016). The Effect of Electronic Word of Mouth on Sales: A Meta-Analysis Review of Platform, Product, and Metric Factors. American Marketing Association.

31.

Shah, J., Higgins, T., Friedman, R. S. (1998). Performance Incentives and Means: How Regulatory Focus Influences Goal Attainment. Journal of Personality and Social Psychology, 74(2), 285.

32.

Steffes, E. M., & Burgee, L. E. (2008). Social Ties and Online Word of Mouth. Internet Research, 19(1), 42-59.

33.

Tarde, G. (2010). Gabriel Tarde on Communication and Social Influence: Selected Papers. University of Chicago Press.

34.

Triandis, H. C., Vassiliou, V., & Thomanek, E. K. (1966). Social Status as a Determinant of Respect and Friendship Acceptance. Sociometry, 396-405.

35.

Tourangeau, R. (1984). Cognitive Sciences and Survey Methods. Cognitive Aspects of Survey Methodology: Building a Bridge between Disciplines, 73-100.

36.

Yamamoto, H., & Matsumura, N. (2009, March). Optimal Heterophily for Word-of-Mouth Diffusion. In ICWSM.

37.

Ziegler, C., McNee, S. M., Konstan, J. A., & Lausen, G. (2005). Improving Recommendation Lists through Topic Diversification, In Proceeding of the 14th international conference on World Wide Web (pp.22-32). ACM.

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