586
Views
9
CrossRef citations to date
0
Altmetric
E-business

Investigating the influence of age, social capital affinity, and flow on positive outcomes reported by e-commerce site users

&
Pages 380-393 | Received 01 May 2014, Accepted 08 Mar 2016, Published online: 05 Apr 2016

References

  • Agarwal, R., and E. Karahanna. 2000. “Time Flies When You Are Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage.” MIS Quarterly 24: 665–694. doi: 10.2307/3250951
  • Ajzen, I., and M. Fishbein. 1980. Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall.
  • Anderson, J. C., and D. W. Gerbing. 1988. “Structural Equation Modeling in Practice: A Review and Recommended Two-step Approach.” Psychological Bulletin 103: 411–423. doi: 10.1037/0033-2909.103.3.411
  • Anderson, J. Q., and L. Rainie. 2012. Millennials Will Benefit and Suffer Due to Their Hyperconnected Lives. Accessed December 19, 2014. http://www.pewinternet.org/files/old-media//Files/Reports/2012/PIP_Future_of_Internet_2012_Young_brains_PDF.pdf.
  • Bansal, H. S., and P. A. Voyer. 2000. “Word-of-mouth Processes Within a Services Purchase Decision Context.” Journal of Service Research 3: 166–177. doi: 10.1177/109467050032005
  • Barker, V. 2012. “A Generational Comparison of Social Networking Site Use: The Influence of Age and Social Identity.” The International Journal of Aging and Human Development 74: 163–187. doi: 10.2190/AG.74.2.d
  • Barker, V., D. M. Dozier, A. SchmitzWeiss, and D. L. Borden. 2013. “Facebook ‘Friends’: Effects of Social Networking Site Intensity, Social Capital Affinity, and Flow on Reported Knowledge-gain.” Journal of Social Media in Society 2: 76–97.
  • Barker, V., D. M. Dozier, A. Schmitz Weiss, and D. L. Borden. 2014. “Harnessing Peer Potency: Predicting Positive Outcomes from Social Capital Affinity and Online Engagement with Participatory Websites.” New Media & Society. doi:10.1177/1461444814530291.
  • Black, S. 2008. Getting into the Flow. American School Board Journal March: 40–47.
  • Bowling, A., E. Grundy, and M. Farquhar. 1995. “Changes in Network Composition Among the Very Old Living in Inner London.” Journal of Cross-Cultural Gerontology 10: 331–347. doi: 10.1007/BF00972333
  • Carstensen, L. L. 1991. “Selectivity Theory: Social Activity in Life-Span Context.” Annual Review of Gerontology and Geriatrics 11: 195–217.
  • Carstensen, L. L. 1995. “Evidence for a Life-Span Theory of Socioemotional Selectivity.” Current Directions in Psychological Science 4: 151–156. doi: 10.1111/1467-8721.ep11512261
  • Carstensen, L. L. 1998. “A Life-Span Approach to Social Motivation.” In Motivation and Self-regulation Across the Life Span, edited by J. Heckhausen and C. Dweck, 341–364. New York: Cambridge University Press.
  • Casaló, L. V., C. Flavián, and M. Guinaliu. 2008. “The Role of Satisfaction and Website Usability in Developing Customer Loyalty and Positive Word-of-mouth in the E-banking Services.” The International Journal of Bank Marketing 26: 399–417. doi: 10.1108/02652320810902433
  • Castells, M. 2009. Communication Power. New York: Oxford University Press.
  • Chen, H. 2006. “Flow on the Net: Detecting Web Users’ Positive Affects and their Flow States.” Computers in Human Behavior 22: 221–233. doi: 10.1016/j.chb.2004.07.001
  • Chen, S-C., D. C. Yen, and M. I. Hwang. 2012. “Factors Influencing the Continuance Intention to the Usage of Web 2.0: An Empirical Study.” Computers in Human Behavior 28: 933–941. doi: 10.1016/j.chb.2011.12.014
  • Chu, S-C., and S. M. Choi. 2011. “Electronic Word-of-mouth in Social Networking Sites: A Cross-Cultural Study of the United States and China.” Journal of Global Marketing 24: 263–281. doi: 10.1080/08911762.2011.592461
  • Chung, C. M. Y., and P. R. Darke. 2006. “The Consumer as Advocate: Self-relevance, Culture and Word-of-mouth.” Marketing Letters 17: 269–279. doi: 10.1007/s11002-006-8426-7
  • Conway, C. M., and C. E. Lance. 2010. “What Reviewers Should Expect from Authors Regarding Common Method Bias in Organizational Research.” Journal of Business and Psychology 25: 325–334. doi: 10.1007/s10869-010-9181-6
  • Csikszentmihalyi, M. 1975. Beyond Boredom and Anxiety. San Francisco, CA: Jossey-Bass.
  • Custodero, L. A. 2002. “Seeking Challenge, Finding Skill: Flow Experience and Music Education.” Arts Education Policy Review 103: 3–9. doi: 10.1080/10632910209600288
  • Doh, S-J., and J-S. Hwang. 2009. “How Consumers Evaluate eWOM (Electronic Word of Mouth) Messages.” Cyberpsychology & Behavior 12: 193–197. doi: 10.1089/cpb.2008.0109
  • Duggan, M., and A. Smith. 2014. Social Media Update 2013. Accessed February 27, 2014. http://pewinternet.org/Reports/2013/Social-Media-Update.aspx.
  • Egbert, J. 2003. “A Study of Flow Theory in the Foreign Language Classroom.” The Modern Language Journal 87: 499–518. doi: 10.1111/1540-4781.00204
  • Einav, L., J. Levin, I. Popov, and N Sundaresan. 2014. “Growth, Adoption, and Use of Mobile E-commerce.” American Economic Review: Papers & Proceedings 104 (5): 489–494. doi: 10.1257/aer.104.5.489
  • Ellison, N. B., C. Steinfield, and C. Lampe. 2007. “The Benefits of Facebook “Friends”: Exploring the Relationship between College Students’ Use of Online Social Networks and Social Capital.” Journal of Computer-Mediated Communication 12: 1143–1168. doi: 10.1111/j.1083-6101.2007.00367.x
  • EMarketer. 2013a. “ Baby Boomers in the Marketplace: How the ‘Ever Young’ Generation Approaches Shopping, Health and Retirement.” Accessed October 22, 2013. http://www.emarketer.com/Article/Digital-Shopping-Baby-Boomers-Favor-Desktop-Over-Mobile/1010130.
  • Emarketer. 2013b. “ How Millennials Shop Online.” Accessed October 22, 2013. http://www.emarketer.com/Article/How-Millennials-Shop-Online/1010031#G3H1o4W6E9XQJjst.99.
  • Fenton, L. 2008. “Adventure Education and Csikszentmihalyi's Flow Theory: A Critical Analysis of Stress and Optimal Experience as Learning Tools.” Research in Outdoor Education 9: 89–90.
  • Fishbein, M., and I. Ajzen. 1975. Belief, Attitude, Intention, and Behavior. Reading, MA: Addison-Wesley Publishing Company.
  • Fornell, C., and D. F. Larcker. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.” Journal of Marketing Research 18: 39–50. doi: 10.2307/3151312
  • Fredrickson, B. L., and L. L. Carstensen. 1990. “Choosing Social Partners: How Old Age and Anticipated Endings Make People More Selective.” Psychology and Aging 5: 335–347. doi: 10.1037/0882-7974.5.3.335
  • Fung, H. H., L. L. Carstensen, and F. Lang. 2001. “Age-Related Patterns in Social Networks among European Americans and African Americans: Implications for Socioemotional Selectivity Across the Life Span.” The international Journal of Aging and Human Development 52: 185–206. doi: 10.2190/1ABL-9BE5-M0X2-LR9V
  • Ghani, J. A. 1995. “Flow in Human-Computer Interactions: Test of a Model.” In Human Factors in Information Systems: Emerging Theoretical Bases, edited by J. M. Carey, 291–311. Norwood, NJ: Ablex Publishing Corporation.
  • Granovetter, M. 1973. The Strength of Weak Ties. American Journal of Sociology 78: 1360–1380. doi:10.1086/225469.
  • Guo, Y. M., and M. S. Poole. 2008. “Antecedents of Flow in Online Shopping: A Test of Alternative Models.” Information Systems Journal 18: 1–3. doi: 10.1111/j.1365-2575.2007.00287.x
  • Hayes, A. F. 2013. An Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. New York: Guilford Press.
  • Hennig-Thurau, T., K. P. Gwinner, and D. D. Gremler. 2002. “Understanding Relationship Marketing Outcomes: An Integration of Relational Benefits and Relationship Quality.” Journal of Service Research 4: 230–247. doi: 10.1177/1094670502004003006
  • Hernandez, M. D. 2012. “A Model of Flow Experience as Determinant of Positive Attitudes Toward Online Advergames.” Journal of Promotion Management 17: 315–326. doi: 10.1080/10496491.2011.596761
  • Hoffman, D. L., and T. P. Novak. 2009. “Flow Online: Lessons Learned and Future Prospects.” Journal of Interactive Marketing 23: 23–34. doi: 10.1016/j.intmar.2008.10.003
  • Hogeoom, D. L., R. J. McDermott, K. M. Perrin, H. Osman, and B. A. Bell-Ellison. 2010. “Internet Use and Social Networking among Middle-Aged and Older Adults.” Educational Gerontology 36: 93–111. doi: 10.1080/03601270903058507
  • Hong, S., and H-S. Park. 2012. “Computer-mediated Persuasion in Online Reviews: Statistical Versus Narrative Evidence.” Computers in Human Behavior 28: 906–919. doi: 10.1016/j.chb.2011.12.011
  • Huang, M-H. 2003. “Designing Website Attributes to Induce Experiential Encounters.” Computers in Human Behavior 19: 425–442. doi: 10.1016/S0747-5632(02)00080-8
  • Jackson, S. A., and H. W. Marsh. 1996. “Development and Validation of a Scale to Measure Optimal Experience: The Flow State Scale.” Journal of Sport and Exercise Psychology 18: 17–35.
  • Joines, J. L., C. W. Scherer, and D. A. Scheufele. 2003. “Exploring Motivations for Consumer Web Use and their Implications for E-commerce.” Journal of Consumer Marketing 20: 90–108. doi: 10.1108/07363760310464578
  • Kiili, K. 2005. “Content Creation Challenges and Flow Experience in Educational Games: The IT-Emperor Case.” The Internet and Higher Education 8: 183–198. doi: 10.1016/j.iheduc.2005.06.001
  • Konradt, U., R. Filip, and S. Hoffmann. 2003. “Flow Experience and Positive Affect During Hypermedia Learning.” British Journal of Educational Technology 34: 309–327. doi: 10.1111/1467-8535.00329
  • Koufaris, M. 2002. “Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior.” Information Systems Research 13: 205–223. doi: 10.1287/isre.13.2.205.83
  • Lang, F. R., U. M. Staudinger, and L. L. Carstensen. 1998. “Perspectives on Socioemotional Selectivity in Later Life: How Personality and Social Context do (and do not) Make a Difference.” The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 53B: P21–P30. doi: 10.1093/geronb/53B.1.P21
  • Liang, T-P., Y-T. Ho, Y-W. Li, and E. Turban. 2011. “What Drives Social Commerce: The Role of Social Support and Relationship Quality.” International Journal of Electronic Commerce 16: 69–90. doi: 10.2753/JEC1086-4415160204
  • Mathwick, C., and E. Rigdon. 2004. “Play, Flow, and the Online Search Experience.” Journal of Consumer Research 31: 324–332. doi: 10.1086/422111
  • Mauri, M., P. Cipresso, A. Balgera, M. Villamira, and G. Riva. 2011. “Why Is Facebook So Successful? Psychophysiological Measures Describe a Core Flow State While Using Facebook.” Cyberpsychology, Behavior, and Social Networking 14: 723–731. doi: 10.1089/cyber.2010.0377
  • Nakamura, J., and M. Csikszentmihalyi. 2002. “The Concept of Flow.” In Handbook of Positive Psychology, edited by S. J. Lopez and C. R. Snyder, 89–105. London: Oxford University Press.
  • Nielsen. 2012. http://www.nielsen.com/us/en/newswire/2012/trust-in-advertising-C3A2C280C293-paid-owned-and-earned.html.
  • Nielsen. 2013. http://www.nielsen.com/us/en/newswire/2013/the-reviews-are-in--yelp-users-are-four-star-consumers.html.
  • Nielsen. 2014. http://www.nielsen.com/content/dam/corporate/us/en/reports-downloads/2014%20Reports/nielsen-millennial-report-feb-2014.pdf.
  • Novak, T. P., D. L. Hoffman, and Y-F. Yung. 2000. “Measuring the Flow Construct in Online Environment: A Structural Modeling Approach.” Marketing Science 19: 22–42. doi: 10.1287/mksc.19.1.22.15184
  • O’Cass, A., and J. Carlson. 2010. “Examining the Effects of Website-Induced Flow in Professional Sporting Team Websites.” Internet Research 20: 115–134. doi: 10.1108/10662241011032209
  • Packiam-Alloway, T., and R. G. Alloway. 2012. “The Impact of Engagement with Social Networking Sites (SNSs) on Cognitive Skills.” Computers in Human Behavior 28: 1748–1754. doi: 10.1016/j.chb.2012.04.015
  • Pahnila, S., and Warsta, J. 2010. Online Shopping Viewed from a Habit and Value Perspective. Behaviour & Information Technology 29 (6), 621–632. doi: 10.1080/0144929X.2010.501115
  • Pai, P-Y., and H-T. Tsai. 2011. “How Virtual Community Participation Influences Consumer Loyalty Intentions in Online Shopping Contexts: An Investigation of Mediating Factors.” Behaviour and Information Technology 30: 603–615. doi: 10.1080/0144929X.2011.553742
  • Park, C., and T. M. Lee. 2009. “Information Direction, Website Reputation and eWOM Effect: A Moderating Role of Product Type.” Journal of Business Research 62: 61–67. doi: 10.1016/j.jbusres.2007.11.017
  • Pew Research Center. 2010. Millennials, Media, and Information. Accessed October 23, 2013. http://pewresearch.org/pubs/1516/millennials-panel-two-millennials-media-information.
  • Pew Research Center. 2013. Demographics of Internet users. Accessed October 23. http://pewinternet.org/Trend-Data-(Adults)/Whos-Online.aspx.
  • Pfeil, U., R. Arjan, and P Zaphiris. 2009. “Age Differences in Online Social Networking: A Study of User Profiles and the Social Capital Divide among Teenagers and Older Users in MySpace.” Computers in Human Behavior 25: 643–654. doi: 10.1016/j.chb.2008.08.015
  • Preacher, K. J., and A. F. Hayes. 2008. “Asymptotic and Resampling Strategies for Assessing and Comparing Indirect Effects in Multiple Mediator Models.” Behavior Research Methods 40: 879–891.
  • Putnam, R. 2000. Bowling Alone: The Collapse and Revival of American Community. New York: Simon and Schuster.
  • Rainie, L. 2013. Internet Adoption Becomes Nearly Universal among Some Groups, But Others Lag Behind. Accessed April 24, 2014. http://www.pewresearch.org/fact-tank/2013/05/30/internet-adoption-becomes-nearly-universal-among-some-groups-but-others-lag-behind/.
  • Rea, D. W. 2000. “Optimal Motivation for Talent Development.” Journal for the Education of the Gifted 23: 187–216.
  • Renard, D. 2013. “Online Promotional Games: Impact of Flow Experience on Word-of-mouth and Personal Information Sharing.” International Business Research 6: 93–100. doi: 10.5539/ibr.v6n9p93
  • Rodríguez Del Bosque, I., and Á. Herrero Crespo. 2011. “How Do Internet Surfers Become Online Buyers? An Integrative Model of E-commerce Acceptance.” Behaviour & Information Technology 30: 161–180.
  • Rossin, D., Y. K. Ro, B. D. Klein, and Y. M. Guo. 2009. “The Effects of Flow on Learning Outcomes in an Online Information Management Course.” Journal of Information Systems Education 20: 87–98. http://search.proquest.com/docview/200167242?accountid=13758.
  • Ryu, H., and D. Parsons. 2012. “Risky Business or Sharing the Load? – Social Flow in Collaborative Mobile Learning.” Computers and Education 58: 707–720. doi: 10.1016/j.compedu.2011.09.019
  • Shernoff, D. J., M. Czikszentmihalyi, B. Shneider, and E. S. Shernoff. 2003. “Student Engagement in High School Classrooms from the Perspective of Flow Theory.” School Psychology Quarterly 18: 158–176. doi: 10.1521/scpq.18.2.158.21860
  • Shin, D-Hee. 2013. “User Experience in Social Commerce: In Friends We Trust.” Behaviour & Information Technology 32 (1): 52–67. doi: 10.1080/0144929X.2012.692167
  • Skadberg, Y. X., and J. R. Kimmel. 2004. “Visitors’ Flow Experience While Browsing a Website: Its Measurement, Contributing Factors and Consequences.” Computers in Human Behavior 20: 403–422. doi: 10.1016/S0747-5632(03)00050-5
  • Siekpe, J. S. 2005. “An Examination of the Multidimensionality of Flow Construct in a Computer-Mediated Environment.” Journal of Electronic Commerce Research 6: 31–43.
  • Smith, J. S. 2005. “Flow Theory and GIS: Is there a Connection for Learning?” International Research in Geographical and Environmental Education 14: 223–230.
  • Stephenson, W. 1967. The Play Theory of Mass Communication. Chicago, IL: University of Chicago Press.
  • Suanet, B, T. G. van Tilburg, and M. I. Broese van Groenou. 2013. “Nonkin in Older Adults’ Personal Networks: More Important among Later Cohorts?” The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 68: 633–643. doi: 10.1093/geronb/gbt043
  • Tajfel, H., and J. C. Turner. 1986. “The Social Identity of Intergroup Behavior.” In Psychology of Intergroup Relations, edited by S. Worchel and W. G. Austin, 7–24. Chicago: Nelson.
  • Trevino, L. K., and J. Webster. 1992. “Flow in Computer-mediated-communication: Electronic Mail and Voice Mail Evaluation and Impacts.” Communication Research 19: 539–573. doi: 10.1177/009365092019005001
  • Van Der Heide, B., B. K. Johnson, and M. H. Vang. 2013. “The Effects of Product Photographs and Reputation Systems on Consumer Behavior and Product Cost on eBay.” Computers in Human Behavior 29: 570–576. doi: 10.1016/j.chb.2012.11.002
  • Walther, J. B., C. T. Carr, S. S. W. Choi, D. C. DeAndrea, J. Kim, T. S. Tong, and B. Van der Heide. 2011. “Interaction of Interpersonal, Peer, and Media Influence Sources Online: A Research Agenda for Technology Convergence.” In A Networked Self: Identity, Community, and Culture on Social Network Sites, edited by Z. Papacharissi, 17–38. Greenwich, CT: JAI Press.
  • Walther, J. B., Y-J. Liang, T. Ganster, D. E. Wohn, and J. Emington. 2012. “Online Reviews, Helpful Ratings, and Consumer Attitudes: An Extension of Congruity Theory to Multiple Sources in Web 2.0.” Journal of Computer-Mediated Communication 18: 97–112. doi: 10.1111/j.1083-6101.2012.01595.x
  • Wellman, B., A. Quan-Haase, J. Witte, and K. Hampton. 2001. “Does the Internet Increase, Decrease, or Supplement Social Capital?” American Behavioral Scientist 45: 436–455. doi: 10.1177/00027640121957286
  • Willemsen, L. M., P. C. Neijens, F. Bronner, and J. A. de Ridder. 2011. ““Highly Recommended!” The Content Characteristics and Perceived Usefulness of Online Consumer Reviews.” Journal of Computer-Mediated Communication 17: 19–38. doi: 10.1111/j.1083-6101.2011.01551.x
  • Williams, D. 2006. “On and off the ‘Net’: Scales for Social Capital in an Online Era.” Journal of Computer-Mediated Communication 11: 593–628. doi: 10.1111/j.1083-6101.2006.00029.x
  • Wu, J.-J., and Y-S. Chang. 2005. “Towards Understanding Members’ Interactivity, Trust and Flow in Online Travel Community.” Industrial Management and Data Systems 105: 937–954. doi: 10.1108/02635570510616120
  • Zaman, M., M. A. Rajan, and Q. Dai. 2010. “Experiencing Flow with Instant Messaging and its Facilitating Role on Creative Behaviors.” Computers in Human Behavior 26: 1009–1018. doi: 10.1016/j.chb.2010.03.001

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.