Why people check in to social network sites

International Journal of Electronic Commerce

Volumn 19, Issue 4, 2015, Pages 21-46

  Luarn, Pin ^a   Yang, Jen Chieh ^a   Chiu, Yu Ping ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Electronic word of mouth; eWoM; M commerce; Mobile commerce; Motivation; Online check in; Online disclosure; Social sharing

Indexed keywords

EID: 84944312813     PISSN: 10864415     EISSN: 15579301     Source Type: Journal    
DOI: 10.1080/10864415.2015.1029353     Document Type: Article

References (67)

1. Ajzen, I. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 2 (1991), 179-211.
2. Ardichvili, A.; Page, V.; and Wentling, T. Motivation and barriers to participation in virtual knowledge-sharing communities of practice. Journal of Knowledge Management, 7, 1 (2003), 64-77.
3. Bauer, H.H.; Hammerschmidt, M.; and Falk, T. Measuring the quality of e-banking portals. International Journal of Bank Marketing, 23, 2 (2005), 153-175.
4. Brown, J.; Broderick, A.J.; and Lee, N. Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21, 3 (2007), 2-20.
5. Buffardi, L.E., and Campbell, W.K. Narcissism and social networking web sites. Personality and Social Psychology Bulletin, 34, 10 (2008), 1303-1314.
6. Chen, W.-K.; Huang, H.-C.; and Chou, S.-C.T. Understanding Consumer Recommendation Behavior in a Mobile Phone Service Context. In Proceedings of the Sixteenth European Conference on Information Systems. Galway, Ireland, 2008, pp. 1022-1033.
7. Chen, Z., and Dubinsky, A.J. A conceptual model of perceived customer value in e-commerce: A preliminary investigation. Psychology and Marketing, 20, 4 (2003), 323-347.
8. Cheung, C.M., and Lee, M.K. A theoretical model of intentional social action in online social networks. Decision Support Systems, 49, 1 (2010), 24-30.
9. Chin, W.W., and Todd, P.A. On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution. Management Information Systems Quarterly, 19 (1995), 237.
10. Chu, S.-C., and Kim, Y. Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30, 1 (2011), 47-75.
11. De Matos, C.A., and Rossi, C.A.V. Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36, 4 (2008), 578-596.
12. Deci, E.L.; Koestner, R.; and Ryan, R.M. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125, 6 (1999), 627-668.
13. Dellarocas, C.; Zhang, X.M.; and Awad, N.F. Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21, 4 (2007), 23-45.
14. Dholakia, U.M.; Bagozzi, R.P.; and Pearo, L.K. A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing, 21, 3 (2004), 241-263.
15. Elfenbein, D.W., and McManus, B. A greater price for a greater good? Evidence that consumers pay more for charity-linked products. American Economic Journal: Economic Policy, 2, 2 (2010), 28-60.
16. Füller, J.; Jawecki, G.; and Mühlbacher, H. Innovation creation by online basketball communities. Journal of Business Research, 60, 1 (2007), 60-71.
17. Fang, Y.-H. Beyond the Credibility of Electronic Word of Mouth: Exploring eWOM Adoption on Social Networking Sites from Affective and Curiosity Perspectives. International Journal of Electronic Commerce, 18, 3 (2014), 67-102.
18. Fornell, C., and Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1 (1981), 39-50.
19. Fornell, C., and Larcker, D.F. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18, 3 (1981), 382-388.
20. Fullerton, G. How commitment both enables and undermines marketing relationships. European Journal of Marketing, 39, 11/12 (2005), 1372-1388.
21. Gefen, D., and Ridings, C.M. If you spoke as she does, sir, instead of the way you do: A sociolinguistics perspective of gender differences in virtual communities. ACM SIGMIS Database, 36, 2 (2005), 78-92.
22. Hair, J.F., Jr.; Hult, G.T.M.; Ringle, C.; and Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage, 2013.
23. Haythornthwaite, C. Strong, weak, and latent ties and the impact of new media. Information Society, 18, 5 (2002), 385-401.
24. Hennig-Thurau, T.; Walsh, G.; and Walsh, G. Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8, 2 (2003), 51-74.
25. Herr, P.M.; Kardes, F.R.; and Kim, J. Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research (1991), 454-462.
26. Hsieh, J.-K.; Hsieh, Y.-C.; and Tang, Y.-C. Exploring the disseminating behaviors of eWOM marketing: Persuasion in online video. Electronic Commerce Research, 12, 2 (2012), 201-224.
27. Hsueh, S.-C., and Chen, J.-M. Sharing secure m-coupons for peergenerated targeting via eWOM communications. Electronic Commerce Research and Applications, 9, 4 (2010), 283-293.
28. Kaplan, A.M., and Haenlein, M. Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53, 1 (2010), 59-68.
29. Keenan, A., and Shiri, A. Sociability and social interaction on social networking websites. Library Review, 58, 6 (2009), 438-450.
30. Kim, C.; Galliers, R.D.; Shin, N.; Ryoo, J.-H.; and Kim, J. Factors influencing Internet shopping value and customer repurchase intention. Electronic Commerce Research and Applications, 11, 4 (2012), 374-387.
31. Krishna, A., and Rajan, U. Cause marketing: Spillover effects of causerelated products in a product portfolio. Management Science, 55, 9 (2009), 1469-1485.
32. Lee, D.H.; Im, S.; and Taylor, C.R. Voluntary self-disclosure of information on the Internet: A multimethod study of the motivations and consequences of disclosing information on blogs. Psychology and Marketing, 25, 7 (2008), 692-710.
33. MacInnis, D.J.; Moorman, C.; and Jaworski, B.J. Enhancing and measuring consumers' motivation, opportunity, and ability to process brand information from ads. Journal of Marketing (1991), 32-53.
34. Mehdizadeh, S. Self-presentation 2.0: Narcissism and self-esteem on Facebook. Cyberpsychology, Behavior, and Social Networking, 13, 4 (2010), 357-364.
35. Morgan, R.M. and Hunt, S.D. The commitment-trust theory of relationship marketing. Journal of Marketing, 58, 3 (1994), 20-38.
36. Morschett, D.; Swoboda, B.; and Foscht, T. Perception of store attributes and overall attitude towards grocery retailers: The role of shopping motives. International Review of Retail, Distribution and Consumer Research, 15, 4 (2005), 423-447.
37. Nardi, B.A.; Schiano, D.J.; Gumbrecht, M.; and Swartz, L. Why we blog. Communications of the ACM, 47, 12 (2004), 41-46.
38. Nov, O., and Ye, C. Why do people tag? Motivations for photo tagging. Communications of the ACM, 53, 7 (2010), 128-131.
39. Okazaki, S. Social influence model and electronic word of mouth: PC versus mobile Internet. International Journal of Advertising, 28, 3 (2009), 439-472.
40. Oliver, R.L. Satisfaction: A Behavioral Perspective on the Consumer. Armonk, NY: M.E. Sharpe, 2010.
41. Ono, A.; Nakamura, A.; Okuno, A.; and Sumikawa, M. Consumer motivations in browsing online stores with mobile devices. International Journal of Electronic Commerce, 16, 4 (2012), 153-178.
42. Ozok, A.A., and Wei, J. An empirical comparison of consumer usability preferences in online shopping using stationary and mobile devices: Results from a college student population. Electronic Commerce Research, 10, 2 (2010), 111-137.
43. Palka, W.; Pousttchi, K.; and Wiedemann, D.G. Mobile word-of-mouth: A grounded theory of mobile viral marketing. Journal of Information Technology, 24, 2 (2009), 172-185.
44. Park, C., and Lee, T.M. Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62, 1 (2009), 61-67.
45. Peng, T.; Kao, Y.; and Lin, C.-C. Common method variance in management research: Its nature, effects, detection, and remedies. Journal of Management, 23, 1 (2006), 77-98.
46. Pentina, I.; Gammoh, B.S.; Zhang, L.; and Mallin, M. Drivers and outcomes of brand relationship quality in the context of online social networks. International Journal of Electronic Commerce, 17, 3 (2013), 63-86.
47. Podsakoff, P.M., and Organ, D.W. Self-reports in organizational research: Problems and prospects. Journal of Management, 12, 4 (1986), 531-544.
48. Premazzi, K.; Castaldo, S.; Grosso,M.; Raman, P.; Brudvig, S.; and Hofacker, C.F. Customer information sharing with e-vendors: The roles of incentives and trust. International Journal of Electronic Commerce, 14, 3 (2010), 63-91.
49. Raacke, J., and Bonds-Raacke, J. MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology and Behavior, 11, 2 (2008), 169-174.
50. Schiffman, L.G.; Sherman, E.; and Long, M.M. Toward a better understanding of the interplay of personal values and the internet. Psychology and Marketing, 20, 2 (2003), 169-186.
51. Shimp, T.A., and Kavas, A. The theory of reasoned action applied to coupon usage. Journal of Consumer Research, 11, 3 (1984), 795-809.
52. Sotiriadis, M.D., and van Zyl, C. Electronic word-of-mouth and online reviews in tourism services: The use of Twitter by tourists. Electronic Commerce Research, 13, 1 (2013), 103-124.
53. Steffes, E.M., and Burgee, L.E. Social ties and online word of mouth. Internet Research, 19, 1 (2009), 42-59.
54. Tang, K.P.; Lin, J.; Hong, J.I.; Siewiorek, D.P.; and Sadeh, N. Rethinking location sharing: exploring the implications of social-driven vs. purposedriven location sharing. in Proceedings of the Twelfth ACM International Conference on Ubiquitous Computing. ACM, 2010, pp. 85-94.
55. Thorbjørnsen, H.; Pedersen, P.E.; and Nysveen, H. Categorizing networked services: The role of intrinsic-, user network-, and complement network attributes. European Journal of Marketing, 43, 3/4 (2009), 371-397.
56. Tsai, P.-S.; Tsai, C.-C.; and Hwang, G.-H. Elementary school students' attitudes and self-efficacy of using PDAs in a ubiquitous learning context. Australasian Journal of Educational Technology, 26, 3 (2010), 297-308.
57. Tufekci, Z. Grooming, gossip, Facebook and MySpace: What can we learn about these sites from those who won't assimilate? Information, Communication and Society, 11, 4 (2008), 544-564.
58. Verhoef, P.C.; Franses, P.H.; and Hoekstra, J.C. The effect of relational constructs on customer referrals and number of services purchased from a multiservice provider: Does age of relationship matter? Journal of the Academy of Marketing Science, 30, 3 (2002), 202-216.
59. Wasko, M.M., and Faraj, S. Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29, 1 (2005), 35-57.
60. Werts, C.E.; Linn, R.L.; and Jöreskog, K.G. Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34, 1 (1974), 25-33.
61. Wold, H. Systems under indirect observation using PLS. A Second Generation of Multivariate Analysis, 1 (1982), 325-347.
62. Workman, J.E., and Studak, C.M. Relationships among fashion consumer groups, locus of control, boredom proneness, boredom coping and intrinsic enjoyment. International Journal of Consumer Studies, 31, 1 (2007), 66-75.
63. Wu, W.-Y., and Sukoco, B.M. Why should I share? Examining consumers' motives and trust on knowledge sharing. Journal of Computer Information Systems, 50, 4 (2010), 11-19.
64. Yang, C.C.; Tang, X.; Dai, Q.; Yang, H.; and Jiang, L. Identifying implicit and explicit relationships through user activities in social media. International Journal of Electronic Commerce, 18, 2 (2013), 73-96.
65. Yu, J.; Zo, H.; Choi, M.K.; and Ciganek, A.P. User acceptance of locationbased social networking services: An extended perspective of perceived value. Online Information Review, 37, 5 (2013), 711-730.
66. Zaichkowsky, J.L. Measuring the involvement construct. Journal of Consumer Research, 12, 3 (1985), 341-352.
67. Zhao, L., Lu, Y., and Gupta, S. Disclosure intention of location-related information in location-based social network services. International Journal of Electronic Commerce, 16, 4 (2012), 53-90.