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Vol 37 No 2 (2022): May

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Mar 3, 2021
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May 24, 2022
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The Effect of Cognitive and Affective Involvement on Intention to Use and Word of Mouth: The Case of Zoom Users In Indonesia

https://doi.org/10.22146/jieb.v37i2.1403
Nur Halimah Siahaan
Universitas Putra Bangsa
Aldini Nofta Martini
Institut Teknologi dan Bisnis Lembah Dempo
M. Halim
muhammadhalim22@gmail.com
Universitas Pembangunan Nasional Veteran Yogyakarta

Corresponding Author(s) : M. Halim

muhammadhalim22@gmail.com

Journal of Indonesian Economy and Business, Vol 37 No 2 (2022): May

Abstract

Introduction/Main Objectives: This study investigates affective and cognitive involvement that reflects psychological ownership and consumer-brand identification in the use of zoom application. Background Problems: The Zoom application was proposed because of its increasing popularity amid the Covid-19 pandemic. The selection of the zoom meeting application is the right way to find out how much the users want to continue this application both for themselves and to promote it to others by word of mouth (WOM). Novelty: This study examines the effect of cognitive and affective involvement on continuance intention to use and WOM by examining the mediating role of consumers’ psychological ownership and consumer-brand identification. Research Methods: 200 responses were analyzed using structural equation modeling (SEM) to test this study’s hypotheses. Finding/Results: The findings support the mediating role of the extent of consumer’s psychological ownership in describing the effect of affective involvement and continuance intention to use of a brand. In addition, the results support the mediating role of the extent of consumer-brand identification in describing the relationship between affective involve­ment and continuance intention to use a brand and engage in WOM promotion. Conclusion: These findings expand and unite existing theory on involvement and a continuing intention to use and engage in WOM.

Keywords

involvement psychological ownership consumer consumer-brand identification continuance intention to use WOM
Siahaan, N. H., Aldini Nofta Martini, & M. Halim. (2022). The Effect of Cognitive and Affective Involvement on Intention to Use and Word of Mouth: The Case of Zoom Users In Indonesia. Journal of Indonesian Economy and Business, 37(2), 136-161. https://doi.org/10.22146/jieb.v37i2.1403
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References
  1. Abdillah, W. (2009). The Effects Dispositional and Situational Cognitive Factors on the Intention To Use Internet: An Empirical Study of the Acceptance of Information Technology At Universitas Bengkulu. Journal of Indonesian Economy and Business, 3(3–4), 177 – 204.
  2. Agarwal, R., & Karahanna, E. (2000). Time Files When You’re Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24(4), 665–694.
  3. Ahearne, M., Bhattacharya, C. B., & Gruen, T. (2005). Antecedents and consequences of customer-company identification: Expanding the role of relationship marketing. Journal of Applied Psychology, 90(3), 574–585.
  4. Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2014). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707–733.
  5. AlSaleh, D., & Thakur, R. (2019). Impact of cognition, affect, and social factors on technology adoption Dhoha AlSaleh Ramendra Thakur *. Int. J. Technology Marketing, 13(2), 178–200.
  6. Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423.
  7. Arbuckle, J. L. (2019). Amos 26.0 User’s Guide. Chicago: IBM SPSS. Bosnjak, M., Galesic, M., & Tuten, T. (2007). Personality determinants of online shopping: Explaining online purchase intentions using a hierarchical approach. Journal of Business Research, 60(6), 597–605.
  8. Avey, J. B., Avolio, B. J., Crossley, C. D., & Luthans, F. (2009). Psychological owner-ship: Theoretical extensions, measure-ment and relation to work outcomes. Journal of Organizational Behavior, 30(2), 173–191.
  9. Bagozzi, R. P., & Dholakia, U. M. (2006). Antecedents and purchase consequences of customer participation in small group brand communities. International Journal of Research in Marketing, 23(1), 45–61.
  10. Beatty, S. E., Homer, P., & Kahle, L. R. (1988). The involvement-commitment model: Theory and implications. Journal of Business Research, 16(2), 149–167.
  11. Beatty, S. E., & Smith, S. M. (1987). External Search Effort: An Investigation Across Several Product Categories. Journal of Consumer Research, 14(1), 83.
  12. Bhattacharya, C. B., Rao, H., & Glynn, M. A. (1995). Understanding the Bond of Identification: An Investigation of Its Correlates among Art Museum Members. Journal of Marketing, 59(4), 46.
  13. Bhattacharya, C. B., & Sen, S. (2003). Consumer-company identification: A framework for understanding consumers’ relationships with companies. Journal of Marketing, 67(2), 76–88.
  14. Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201–214.
  15. Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology conti-nuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17–26.
  16. Brand, M., Müller, A., Stark, R., Steins-Loeber, S., Klucken, T., Montag, C., Diers, M., Wolf, O. T., Rumpf, H. J., Wölfling, K., & Wegmann, E. (2021). Addiction Research Unit: Affective and cognitive mechanisms of specific Internet-use disorders. In Addiction Biology (Vol. 26, Issue 6). John Wiley and Sons Inc.
  17. Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). Spreading the word: Investigating antecedents of consumers’ positive word-of-mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science, 33(2), 123–138.
  18. Buchholz, K. (2020). Zoom Tops Weekly Download Charts. Statista.
  19. Carlson, D. S., Grzywacz, J. G., & Zivnuska, S. (2009). Is work’family balance more than conflict and enrichment? Human Relations, 62(10), 1459–1486.
  20. Casaló, L. V., Flavián, C., & Guinalíu, M. (2008). Promoting consumer’s participation in virtual brand communities: A new paradigm in branding strategy. Journal of Marketing Communications, 14(1), 19–36.
  21. Chaplin, L. N., & John, D.R. (2005). The Development of Self‐Brand Connections in Children and Adolescents. Journal of Consumer Research, 32(1), 119–129.
  22. Chen, W. B., & Gregory, A. (2010). Parental involvement as a protective factor during the transition to high school. Journal of Educational Research, 103(1), 53–62.
  23. Cheng, Y. M. (2021). Investigating medical professionals’ continuance intention of the cloud-based e-learning system: an extension of expectation–confirmation model with flow theory. Journal of Enterprise Informa¬tion Management, 34(4), 1169–1202.
  24. Chiu, C. M., Hsu, M. H., Lai, H., & Chang, C. M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835–845.
  25. Coelho, P. S., Rita, P., & Santos, Z. R. (2018). On the relationship between consumer-brand identification, brand community, and brand loyalty. Journal of Retailing and Consumer Services, 43(November 2016), 101–110.
  26. Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods. In Proceedings of the Annual Reliability and Maintaina¬bility Symposium (12th ed.). New York: McGraw-Hill/Irwin.
  27. Csikszentmihaly, M. (1990). Flow: The Psychology of Optimal Experience. In Harper & Row, Publishers, Inc.
  28. Csikszentmihalyi, M. (1975). Play and Intrinsic Rewards. Journal of Humanistic Psycho¬logy, 15(3), 41–63.
  29. Csikszentmihalyi, M. (1997). Finding Flow: The Psychology Of Engagement With Everyday Life.
  30. Csikszentmihalyi, M., Rathunde, K., & Whalen, S. (1993). Talented Teenagers: The Roots of Success and Failure.
  31. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339.
  32. Dawkins, S., Amy, W. T., Newman, A., & Martin, A. (2017). Psychological owner-ship : A review and research. Journal of Organizational Behavior, 38, 163–183.
  33. Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing, 21(3), 241–263.
  34. Ding, Y. (2019). Looking forward: The role of hope in information system continuance. Computers in Human Behavior, 91(August 2018), 127–137.
  35. Dingel, J. I., & Neiman, B. (2020). How many jobs can be done at home? In National Bureau of Economic Research.
  36. Dittmar, H. (1992). The social psychology of material possessions: To have is to be. Harvester Wheatsheaf and St. Martin’s Press.
  37. Dutton, J. E., Dukerich, J. M., & Harquail, C. V. (1994). Organizational Images and Member Identification. Administrative Science Quarterly, 39(2), 239–263.
  38. Fang, X., Zhang, J., & Chan, S. S. (2013). Development of an Instrument for Studying Flow in Computer Game Play. International Journal of Human-Computer Interaction, 29(7), 456–470.
  39. Grant, N. (2020). Zoom Transforms Hype Into Huge Jump in Sales, Customers. Bloomberg.
  40. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis: Pearson New International Edition (7th ed.). Pearson Education Limited.
  41. Hameed, I., Zaman, U., Waris, I., & Shafique, O. (2021). A serial-mediation model to link entrepreneurship education and green entrepreneurial behavior: Application of resource-based view and flow theory. International Journal of Environmental Research and Public Health, 18(2), 1–19.
  42. Hanna, S., & Rowley, J. (2015). Towards a model of the Place Brand Web. Tourism Management, 48, 100–112.
  43. Harrison-Walker, L. J. (2001). The Measurement of Word-of-Mouth Communication and an Investigation of Service Quality and Customer Commitment As Potential Antecedents. Journal of Service Research, 4(1), 60–75.
  44. Hawkins, D., Best, R. J., & Coney, K. (1983). Consumer Behavior: Implication for Marketing Strategy Plano, TX (Issue 2). Business Publications, Inc.
  45. Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280–1300.
  46. Higgins, E. T. (1998). Higgins, E. T. (in press). Promotion and prevention: Regulatory focus as a motivational principle. In M. P. Zanna (Ed.), Advances in experimental social psychology. New York: Academic Press. Advances in Experimental Social Psycho¬logy, 30(November), 1–46.
  47. Hong, S. J., Thong, J. Y. L., Moon, J. Y., & Tam, K. Y. (2008). Understanding the behavior of mobile data services consumers. Information Systems Frontiers, 10(4), 431–445.
  48. Hughes, D. E., & Ahearne, M. (2010). Energizing the reseller’s sales force: The power of brand identification. Journal of Marketing, 74(4), 81–96.
  49. Joo, Y. J., Park, S., & Shin, E. K. (2017). Students’ expectation, satisfaction, and conti¬nuance intention to use digital textbooks. Computers in Human Behavior, 69, 83–90.
  50. Jussila, I., Tarkiainen, A., Sarstedt, M., & Hair, J. F. (2015). Individual psychological owner¬ship: Concepts, evidence, and impli¬cations for research in marketing. Journal of Marketing Theory and Practice, 23(2), 121–139.
  51. Katz, Elihu., & Lazarsfeld, Paul F. (1955). Personal Influence. The Part Played by People in the Flow of Mass Communi¬ca-tion. New York: Free Press.
  52. Kim, C. K., Han, D., & Park, S. (2001). The effect of brand personality and brand identification on brand loyalty. Japanese Psychological Research, 43(4), 195–206.
  53. Kim, M., & Beehr, T. A. (2017). Self-Efficacy and Psychological Ownership Mediate the Effects of Empowering Leadership on Both Good and Bad Employee Behaviors. Journal of Leadership and Organizational Studies, 24(4), 466–478.
  54. Kirmani, A., Sood, S., & Bridges, S. (1999). The ownership effect in consumer responses to brand line stretches. Journal of Marketing, 63(1), 88–101.
  55. Koufaris, M. (2002). Applying the Technology Acceptance Model and flow theory to online Consumer Behavior. Information Systems Research, 13(2), 205–223.
  56. Kucharska, W. (2017). Consumer social network brand identification and personal branding. How do social network users choose among brand sites? Cogent Business and Management, 4(1).
  57. Kuenzel, S., & Vaux Halliday, S. (2008). Investigating antecedents and consequences of brand identification. Journal of Product & Brand Management, 17(5), 293–304.
  58. Kulviwat, S., Bruner, G. C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a Unified Theory of Consumer Acceptance Technology. Psychology & Marketing, 24(12), 1059–1084.
  59. Kuo, T. C., & Smith, S. (2018). A systematic review of technologies involving eco-innovation for enterprises moving towards sustainability. Journal of Cleaner Production, 192, 207–220.
  60. Lee, M., & Faber, R. J. (2007). Effects of product placement in on-line games on brand memory: A perspective of the limited-capacity model of attention. Journal of Advertising, 36(4), 75–90.
  61. Lee, Y., & Kwon, O. (2011). Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services. Electronic Commerce Research and Applications, 10(3), 342–357.
  62. Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How Habit Limits The Predictive Power of Intention: The Case of Information Systems Continuance. Journal of Futures Markets, 31(4), 705–737.
  63. Mahfouz, A. Y., Joonas, K., & Opara, E. U. (2020). An overview of and factor analytic approach to flow theory in online contexts. Technology in Society, 61.
  64. Menon, S., & Kahn, B. (2002). Cross-category effects of induced arousal and pleasure on the Internet shopping experience. Journal of Retailing, 78(1), 31–40.
  65. Mittal, B., & Lee, M.-S. (1989). A Causal Model of Consumer Involvement. Journal of Economic Psychology, 10, 363–389.
  66. Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (Seventh Ed). Pearson Education Limited.
  67. Patma, T. S., Fienaningsih, N., Rahayu, K. S., & Artatanaya, I. G. L. S. (2021). Impact of Information Quality on Customer Perceived Value, Experience Quality, and Customer Satisfaction From Using Gofood Aplication. Journal of Indonesian Economy and Business, 36(1), 51–61.
  68. Park, C. H., Kim, W., & Song, J. H. (2015). The Impact of Ethical Leadership on Employees’ In-Role Performance: The Mediating Effect of Employees’ Psychological Ownership. Human Resource Development Quarterly, 26(4), 385–407.
  69. Park, C. W., & Young, S. M. (1986). Consumer Response to Television Commercials: The Impact of Involvement and Background Music on Brand Attitude Formation. Journal of Marketing Research, 23(1), 11–24.
  70. Pierce, J. L., Jussila, I., & Cummings, A. (2009). Psychological ownership within the job design context: revision of the job charac¬teristics model. Journal of Organizational Behavior, 30, 477–496.
  71. Pierce, J. L., Kostova, T., & Dirks, K. T. (2001). Toward a Theory of Psychological Ownership in Organizations. Academy of Management Review, 26(2), 298–310.
  72. Pierce, J. L., Kostova, T., & Dirks, K. T. (2003). The State of Psychological Ownership: Integrating and Extending a Century of Research. Review of General Psychology, 7(1), 84–107.
  73. Pierce, J. L., Rubenfeld, S. A., & Morgan, S. (1991). Employee Ownership: a Conceptual Model of Process and Effects. Academy of Management Review, 16(1), 121–144.
  74. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879–903.
  75. Preacher, K. J., & Hayes, A. F. (2008). Asymp¬totic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.
  76. Putrevu, S., & Lord, K. I. (1994). Comparative and noncomparative advertising: Attitudinal effects under cognitive and affective invol¬ve¬ment conditions. Journal of Advertising, 23(2), 77–91.
  77. Ratchford, B. T. (1987). New Insights About the FCB Grid. Journal of Advertising Research, 27(4), 24–38.
  78. Rodhain, A. (2006). Brands and the identifi-cation process of children. Advances in Consumer Research, 33(January 2006), 549–555.
  79. Scott, S. G., & Lane, V. R. (2000). A stake-holder approach to organizational identity. Academy of Management Review, 25(1), 43–62.
  80. Soni, M. J. (2017). Effects of varying involve¬ment level within a television program on recall of cognitive versus affective advertisement. Journal of Consumer Marketing, 34(4), 338–348.
  81. Spinelli, A., & Pellino, G. (2020). COVID-19 pandemic: perspectives on an unfolding crisis. British Journal of Surgery, 107(7), 785–787.
  82. Srivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer layalty in e-commerce: an exploration of its antecedents and conse¬quences. Journal of Retailing, 78, 41–50.
  83. Steelman, Z. R., & Soror, A. A. (2017). Why do you keep doing that? The biasing effects of mental states on IT continued usage intentions. Computers in Human Behavior, 73, 209–223.
  84. Susilo, G. F. A., Rani, U., & Khotijah, S. A. (2022). the Trusting Beliefs of Users and the Intention To Continue Making Purchases Via Social Commerce. Journal of Indone¬sian Economy and Business, 37(1), 1–14.
  85. Tajfel, H., & Turner, J. C. (1985). The Socal Identity Theory of Intergroup Behavior. In Psychology of Integrouf Relation.
  86. Tildesley, A. E., & Coote, L. V. (2009). This Brand is Me : A Social Identity Based Measure of Brand Identification. Advances in Consumer Research, 36(1989), 627–628.
  87. Tuškej, U., Golob, U., & Podnar, K. (2013). The role of consumer-brand identification in building brand relationships. Journal of Business Research, 66(1), 53–59.
  88. Tuškej, U., & Podnar, K. (2018). Exploring selected antecedents of consumer–brand identification: The nature of consumer’s interactions with product brands. Baltic Journal of Management, 13(4), 451–470.
  89. Underwood, R., Bond, E., & Baer, R. (2001). Building Service Brands via Social Identity: Lessons from the Sports Marketplace. Journal of Marketing Theory and Practice, 9(1), 1–13.
  90. van Dyne, L., & Pierce, J. L. (2004). Psychological ownership and feelings of possession: Three field studies predicting employee attitudes and organizational citizenship behavior. Journal of Organi-zational Behavior, 25(4), 439–459.
  91. Van Ittersum, K., & Feinberg, F. M. (2010). Cumulative timed intent: A new predictive tool for technology adoption. Journal of Marketing Research, 47(5), 808–822.
  92. Vargo, S. L., & Lusch, R. F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68(1), 1–17.
  93. Wagner, S. H., Parker, C. P., & Christiansen, N. D. (2003). Employees that think and act like owners: Effects of ownership beliefs and behaviors on organizational effectiveness. Personnel Psychology, 56(4), 847–871.
  94. Yang, S., Zhou, S., & Cheng, X. (2019). Why do college students continue to use mobile learning? Learning involvement and self-determination theory. British Journal of Educational Technology, 50(2), 626–637.
  95. Zaichkowsky, J. L. (1994). Research notes: The personal involvement inventory: Reduction, revision, and application to advertising. Journal of Advertising, 23(4), 59–70.
  96. Zaltman, G., & Wallendorf, M. (1983). Consumer Behavior: Basic Findings and Management Implications.
  97. Zenker, S., Braun, E., & Petersen, S. (2017). Branding the destination versus the place: The effects of brand complexity and identification for residents and visitors. Tourism Management, 58, 15–27.
  98. Zhou, Z., Fang, Y., Vogel, D., Jin, X. L., & Zhang, X. (2012). Attracted to or locked in? predicting continuance intention in social virtual world services. Journal of Management Information Systems, 29(1), 273–306.
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