Tracking Investment Intentions: The Impact of Information, Confusion, and Avoidance Attitude in Stock Investment Applications

Bie Amelia Hutauruk, Ferry Tema Atmaja

Abstract


Abstract – The proliferation of stock investment applications has significantly augmented the accessibility and speed of acquiring investment-related information. However, the ease of information access may inadvertently lead to information overload, fostering confusion and, in extreme cases, user avoidance of these applications. Despite the potential ramifications of overload information on avoidance behaviors, research linking consumer confusion to avoidance attitudes and intentions remains scarce. This study seeks to bridge this gap by identifying factors influencing individuals' intentions to avoid using stock investment applications, specifically focusing on information acquisition, overload confusion, and avoidance attitudes. Conducted through online questionnaires, data collection involved 130 responses that met the specified criteria, subsequently analyzed using SmartPLS 3 software. The findings reveal that effective information acquisition diminishes avoidance attitudes and intentions but does not impact overload confusion. Furthermore, overload confusion escalates avoidance attitudes without influencing intention to avoid. Notably, avoidance attitudes exhibit a positive correlation with the intention to avoid using stock investment applications. This research contributes to the academic landscape by shedding light on the underexplored role of overload confusion in shaping avoidance behaviors, offering insights not extensively addressed in prior studies. Moreover, it provides valuable implications for practitioners in the financial industry, offering guidance for the development of more effective marketing strategies in the context of stock investment applications.

 

Keywords: intention to avoid, information acquisition, overload confusion, avoidance attitude


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References


Bagozzi, R. P. (1992). The self-regulation of attitudes, intentions, and behavior. Social Psychology Quarterly, 55(2), 178–204.

Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586–607.

Biscaia, A. R., Rosa, M. J., Moura e Sá, P., & Sarrico, C. S. (2017). Assessing customer satisfaction and loyalty in the retail sector. International Journal of Quality and Reliability Management, 34(9), 1508–1529.

Chauhan, V., & Sagar, M. (2023). Healthcare decision making and choice: An empirical model of patient confusion. Management Decision, 61(11), 3454–3474.

Cheng, Y., Wei, W., & Zhang, L. (2020). Seeing destinations through vlogs: Implications for leveraging customer engagement behavior to increase travel intention. International Journal of Contemporary Hospitality Management, 32(10), 3227–3248.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.

Dang, V. T. (2020). Information confusion and intention to stop using social networking site: A moderated mediation study of psychological distress and perceived novelty. Information Technology and People, 33(5), 1427–1452.

Dharmasena, T., & Jayathilaka, R. (2020). The nexus between information and consumer confusion: Information provider vs information recipient. Tourism Review, 76(3), 594–613.

Day, G. S. (2011). Closing the marketing capabilities gap. Journal of Marketing, 75(4), 183-195.

Dick, C. (2019). The effect of the valence of sponsorship information on consumers’ attitudes toward the sponsor brand. International Journal of Sports Marketing and Sponsorship, 20(4), 603–616.

Elliot, A. J. (1999). Approach and avoidance motivation and achievement goals. Educational Psychologist, 34(3), 169–189.

Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. Information Society, 20(5), 325–344.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

Fitzgerald, M. P., Russo Donovan, K., Kees, J., & Kozup, J. (2019). How confusion impacts product labeling perceptions. Journal of Consumer Marketing, 36(2), 306–316.

Garaus, M., & Wagner, U. (2016). Retail shopper confusion: Conceptualization, scale development, and consequences. Journal of Business Research, 69(9), 3459-3467.

Ha, H. Y., John, D. D., John, J., & Kim, N. Y. (2013). The critical role of marketer’s information provision in temporal changes of expectations and attitudes. Journal of Consumer Marketing, 30(4), 355–365.

Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110.

Hamari, J., & Keronen, L. (2017). Why do people play games? A meta-analysis. International Journal of Information Management, 37(3), 125–141.

Hegner, S. M., Fetscherin, M., & van Delzen, M. (2017). Determinants and outcomes of brand hate. Journal of Product & Brand Management, 26(1), 13-25.

Hofstede, G., & Minkov, M. (2010). Long-versus short-term orientation: New perspectives. Asia Pacific Business Review, 16(4), 493-504.

Kasperson, C. J. (1978). Psychology of the scientist: XXXVII. Scientific creativity: A relationship with information channels. Psychological Reports, 42(3), 691-694.

Khan, M. A., Ashraf, R., & Malik, A. (2019). Do identity-based perceptions lead to brand avoidance? A cross-national investigation. Asia Pacific Journal of Marketing and Logistics, 31(4), 1095-1117.

Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247.

Kusumawati, A., & Rahayu, K. S. (2020). The effect of experience quality on customer perceived value and customer satisfaction and its impact on customer loyalty. TQM Journal, 32(6), 1525–1540.

Laudon, K. C., & Traver, C. G. (2020). E-commerce 2019: Business, technology, society. Pearson, New York.

Lee, S., Scott, D., & Kim, H. (2008). Celebrity fan involvement and destination perceptions. Annals of Tourism Research, 35(3), 809–832.

Lu, A. C. C., Gursoy, D., & Lu, C. Y. R. (2016). Antecedents and outcomes of consumers’ confusion in the online tourism domain. Annals of Tourism Research, 57, 76–93.

Palmer, J. (1991). Scientists and information: II. Personal factors in information behaviour. Journal of Documentation, 47(3), 254-275.

Ray, A., Bala, P. K., & Rana, N. P. (2021). Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approach. Journal of Business Research, 128, 391–404.

Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344.

Sharma, A., Pandher, J. S., & Prakash, G. (2023). Consumer confusion and decision postponement in the online tourism domain: The moderating role of self-efficacy. Journal of Hospitality and Tourism Insights, 6(2), 1092-1117.

Shiu, J. Y. (2021). Risk-reduction strategies in competitive convenience retail: How brand confusion can impact choice among existing similar alternatives. Journal of Retailing and Consumer Services, 61, 102547.

Tauni, M. Z., Rao, Z. U. R., Fang, H., Mirza, S. S., Memon, Z. A., & Jebran, K. (2017). Do investor’s big five personality traits influence the association between information acquisition and stock trading behavior? China Finance Review International, 7(4), 450–477.

Walsh, G., Hennig-Thurau, T., & Mitchell, V. -W. (2007). Consumer confusion proneness: Scale development, validation, and application. Journal of Marketing Management, 23(7–8), 697–721.

Walsh, G., & Mitchell, V. W. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of Marketing, 44(6), 838–859.

Wang, J., Vo-Thanh, T., Liu, Y. -H., Dang-Van, T., & Nguyen, N. (2023). Information confusion as a driver of consumer switching intention on social commerce platforms: A multi-method quantitative approach. Information Technology & People, Vol. ahead-of-print No. ahead-of-print.

Xiang, Z., & Law, R. (2013). Online competitive information space for hotels: An information search perspective. Journal of Hospitality Marketing & Management, 22(5), 530-546.

Zhou, T., & Xie, Y. (2023). Understanding social media users' information avoidance intention: A C-A-C perspective. Aslib Journal of Information Management, Vol. ahead-of-print No. ahead-of-print.




DOI: http://dx.doi.org/10.33021/firm.v9i1.4985

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