The Effects of Different Dimensions of Perceived Uncertainties Regarding the adoption of Online Stock Trading in the Iranian Capital Market

Document Type : Original Article

Authors
Mohammad Nazaripour 1
babak zakizadeh 2
1 Assistant Professor, Accounting Department, Hazrat_e Masoumeh University (HMU), Qom, Iran.
2 MSc. in Business Management, Young Researchers and Elite Club, Abadan Branch, Islamic Azad University, Abadan, Iran.
10.22034/jik.2025.23915
Abstract
Perceived environmental uncertainties are among the obstacles to the development of online stock trading. Social cognitive theory can play an important role in adoption and usage of online stock trading by predicting changes in individual investors' behavior. Therefore, the purpose of this study is to investigate the effects of different dimensions of perceived uncertainties on the intention to adopt online stock trading by individual investors. The present study is practical in nature and is considered as a descriptive-exploratory correlation study. The required data were collected through the distribution of questionnaires among 373 investors. The time period of this study is fourth seasons of year 2021 as well as first seasons of year 2022. Data analysis was performed using structural equation modeling. According to the research findings, different dimensions of perceived uncertainties (perceived technology uncertainty, perceived regulatory uncertainty, perceived service intangibility and perceived information asymmetry) affect online stock trading. The variable of trust has a moderating effect on the relationship between perceived technological uncertainty and perceived information asymmetry with the intention to adopt online stock trading. The variable of perceived benefits has a moderating effect on the relationship between perceived technology uncertainty and perceived regulatory uncertainty with the intention of adopting online stock trading. In general, new technologies can help individual investors make rational decisions.
Keywords
Perceived Environmental Uncertainties
Internet Stock Trading
Social Cognitive Theory
Trust
Perceived Benefits
آمار بورس بازان حرفه­ای، بخش بورس، روزنامه اقتصاد ایران، شماره: ۴۹۶۶، شماره خبر: ۳۶۸۴۵۱۶ ، تاریخ 1/6/1399.  
سپهردوست، حمید؛ صدری، لیلی. (1396). اثر فناوری اطلاعات و ارتباطات بر رشد بازار سرمایه؛ شواهد تجربی از بورس اوراق بهادار تهران، فصلنامه مطالعات مدیریت فناوری اطلاعات، سال پنجم، شماره 19، 28-1.
مرادی، مهدی؛ امین­زادگان، سعیده؛ مرندی، زکیه. (1397). نقش ویژگی­های فردی و رفتاری بر تقاضا برای خدمات مالی. فصلنامه دانش سرمایه­گذاری، سال هفتم، شماره بیست­وپنجم، 164-149. 
مغنی، حیدر؛ ناصحی­فر، وحید؛ ناطق، تهمینه. (1398). چگونگی تاثیر گسترش فناوری­های مالی بر بهبود عملکرد مالی. فصلنامه اقتصاد مالی، سال سیزدهم، شماره 49، 212-183. 
ناطق­گلستان، احمد؛ دامغانی، الهه؛ صباحی، احمد. (1398). تاثیر ریسک ادراک شده بر مدیریت سبد سهام (مطالعه موردی: سرمایه­گذاران فعال کارگزاری­های بورس مشهد). فصلنامه دانش سرمایه­گذاری، سال هشتم، شماره سی­ام، 91-73.   
نعمتی­زاده، سینا؛ بیدار، آرش؛ علی­زاده، هادی. (1391). ارزیابی کاربرد سامانه معاملات الکترونیکی DMA در افزایش حجم معاملات بورس اوراق بهادار تهران با بهره گیری از مدل استنتاج فازی. دانش مالی تحلیل اوراق بهادار (مطالعات مالی)، دوره 5، شماره 15، 150-131.  
 
Adra, S., & Barbopoulos, L. G. (2019). Liquidity and information asymmetry considerations in corporate takeovers. The European Journal of Finance, 25(7), 724-743.
Agarwal, V., Aslan, H., Huang, L., & Ren, H. (2018, June). Political uncertainty and household stock market participation. In Journal of Financial and Quantitative Analysis-forthcoming, AFA 2019 Annual Meeting Paper, 29th Annual Conference on Financial Economics & Accounting (Vol. 2019).
Akhlaq, A. and Ahmed, E. (2013). The effect of motivation on trust in the acceptance of internet banking in a low income country. International Journal of Bank Marketing, 31(2), 115-125.
Alghamdi, R., Drew, S. and Al-Ghaith, W. (2011). Factors influencing e-commerce adoption by Retailers in Saudi Arabia: a qualitative analysis. The Electronic Journal on Information Systems in Developing Countries, 47(1), 1-23.
Andrii, V. (2015). The essence of intangible service as a special theoretical category in the modern post-industrial economics system. Procedia Economics and Finance, 27, 267-273.
Anselmi, G., & Petrella, G. (2021). Regulation and stock market quality: The impact of MiFID II provision on research unbundling. International Review of Financial Analysis, 76, 101788.
Arruda, M. P. D., Girão, L. F. D. A. P., & Lucena, W. G. L. (2015). Information asymmetry and share prices: Analysis of the use of social networks in the Brazilian and US capital markets. Revista Contabilidade & Finanças, 26, 317-330.
Baltussen, G., Van Bekkum, S. and Van Der Grient, B. (2018). Unknown unknowns: uncertainty about risk and stock returns. Journal of Financial and Quantitative Analysis, 53(4), 1615-1651.
Bandura, A. (1986). Fearful expectations and avoidant actions as coeffects of perceived selfinefficacy. American Psychologist, 41, 1389-1391.
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175.
Boateng, H., Adam, D.R., Okoe, A.F. and Anning-Dorson, T. (2016). Assessing the determinants of internet banking adoption intentions: a social cognitive theory perspective. Computers in Human Behavior, 65, 468-478.
Chang, A., Wiewiora, A., & Liu, Y. (2021). A socio-cognitive approach to leading a learning project team: A proposed model and scale development. International Journal of Project Management, 39(6), 646-657.
Chen, Y., Yan, X., Fan, W. and Gordon, M. (2015). The joint moderating role of trust propensity and gender on consumers’ online shopping behavior. Computers in Human Behavior, 43, 272-283.
Demir, S. (2022). Comparison of Normality Tests in Terms of Sample Sizes under Different Skewness and Kurtosis Coefficients. International Journal of Assessment Tools in Education, 9(2), 397-409.
Featherman, M.S. and Wells, J.D. (2010). The intangibility of e-services: effects on perceived risk and acceptance. ACM SIGMIS - Data Base: The DATABASE for Advances in Information Systems, 41(2), 110-131.
Fernández-López, S., Rey-Ares, L., & Vivel-Búa, M. (2018). The role of internet in stock market participation: just a matter of habit? Information Technology & People, 31(3), 869-885.
Govindaraju, V. (2021). A review of social cognitive theory from the perspective of interpersonal communication. Multicultural Education, 7(12).
Hampton, S., & Adams, R. (2018). Behavioural economics vs. social practice theory: Perspectives from inside the United Kingdom government. Energy Research & Social Science, 46, 214-224.
Heavey, C. and Simsek, Z. (2013). Top management compositional effects on corporate entrepreneurship: the moderating role of perceived technological uncertainty. Journal of Product Innovation Management, 30(5), 837-855.
Hu, Y., & Prigent, J. L. (2019). Information asymmetry, cluster trading, and market efficiency: Evidence from the Chinese stock market. Economic Modelling, 80, 11-22.
Jansen, J. and Van Schaik, P. (2018). Testing a model of precautionary online behavior: the case of online banking. Computers in Human Behavior, 87, 371-383.
Jiang, Y., & Chen, W. K. (2017). Effects of organizational trust on organizational learning and creativity. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), 2057-2068.
Johnson, V.L., Kiser, A., Washington, R. and Torres, R. (2018). Limitations to the rapid adoption of Mpayment services: understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111-122.
Khan, I.U., Hameed, Z., Yu, Y. and Khan, S.U. (2017). Assessing the determinants of flow experience in the adoption of learning management systems: the moderating role of perceived institutional support. Behaviour and Information Technology, 36(11), 1162-1176.
Khan, S., Liu, X., Khan, I.U., Liu, C. and Hameed, Z. (2018). Measuring the effects of risk and cultural dimensions on the adoption of online stock trading: a developing country perspective. International Journal of Enterprise Information Systems, 14(3), 106-127.
Khan, S.U., Liu, X., Khan, I.U., Liu, C. and Rasheed, M.I. (2020). Assessing the investors’ acceptance of electronic stock trading in a developing country: the Mediating role of perceived risk dimensions. Information Resources Management Journal, 33(1), 59-82.
Khan, S.U., Liu, X., Liu, C., Khan, I.U., & Hameed, Z. (2021). Understanding uncertainty dimensions and Internet stock trading service in China from a social cognitive perspective. Information Technology & People, 34(2), 812-834.
Khedmatgozar, H.R. and Shahnazi, A. (2018). The role of dimensions of perceived risk in adoption of corporate internet banking by customers in Iran. Electronic Commerce Research, 18(2), 389-412.
Kim, C., Mirusmonov, M. and Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
Kulms, P., & Kopp, S. (2018). A social cognition perspective on human–computer trust: The effect of perceived warmth and competence on trust in decision-making with computers. Frontiers in Digital Humanities, 14.
Lee, M.-C. (2009). Predicting and explaining the adoption of online trading: an empirical study in Taiwan. Decision Support Systems, 47(2), 133-142.
Littler, D. and Melanthiou, D. (2006). Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: the case of internet banking. Journal of Retailing and Consumer Services, 13(6), 431-443.
Middleton, L., Hall, H. and Raeside, R. (2019). Applications and applicability of Social Cognitive Theory in information science research. Journal of Librarianship and Information Science, 51(4), 927-937.
Narayan, B. (2013). Social media use and civil society; from everyday information behaviors to clickable solidarity. Cosmopolitan Civil Societies: An Interdisciplinary Journal, 5(3), 32-53.
Nepomuceno, M.V., Laroche, M. and Richard, M.-O. (2014). How to reduce perceived risk when buying online: the interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns. Journal of Retailing and Consumer Services, 21(4), 619-629.
Oruç, O.E. and Tatar, Ç. (2017). An investigation of factors that affect internet banking usage based on structural equation modeling. Computers in Human Behavior, 66, 232-235.
Pavlou, P.A., Liang, H. and Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: a principal-agent perspective. MIS Quarterly, 31(1), 105-136.
Preko, A. K. (2017). Analysis of social cognitive model in the context of green marketing: a study of the Ghanaian environment. Business Perspectives and Research, 5(1), 86-99.
Ramayah, T., Soto-Acosta, P., Colomo-Palacios, R., Gopi, M., & Popa, S. (2014). Explaining the adoption of Internet stock trading in Malaysia: comparing models. Asian Journal of Technology Innovation, 22(1), 131-151.
Ratten, V. and Ratten, H. (2007). Social cognitive theory in technological innovations. European Journal of Innovation Management, 10(1), 90-108.
Sapienza, P., Toldra‐Simats, A., & Zingales, L. (2013). Understanding trust. The Economic Journal, 123(573), 1313-1332.
Singh, A., & Malhotra, M. (2016). Factors influencing the adoption of online trading: A study of individual investors. IOSR Journal of Business and Management, 18(10), 21-26.
Shi, K., De Vos, J., Yang, Y., Xu, J., Cheng, L., & Witlox, F. (2021). Does buying intangible services online increase the frequency of trips to consume these services? Cities, 119, 103364.
Teriman, S., Yigitcanlar, T., & Mayere, S. (2011). Social infrastructure planning and sustainable community: example from south east Queensland, Australia. In Proceedings of the Business and Social Science Research Conference 2011 (pp. 1-12). World Business Institute Australia.
Wang, J., Huang, Q., Li, Y., & Gu, J. (2021). Reducing transaction uncertainty with brands in web stores of dual-channel retailers. International Journal of Information Management, 61, 102398.
Wong Kit, H. (2019). The effects of consumption values and relational benefits on smartphone brand switching behavior. Information Technology and People, 32(1), 217-243.
Xie, Q., Song, W., Peng, X. and Shabbir, M. (2017). Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk.  The Electronic Library, 35(1), 2-20.
Yang, Y., Liu, Y., Li, H. and Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management and Data Systems, 115(2), 253-269.
Yoon, H., Zo, H. and Ciganek, A.P. (2011). Does XBRL adoption reduce information asymmetry? Journal of Business Research, 64(2), 157-163.
Yoon, H.S. and Steege, L.M.B. (2013). Development of a quantitative model of the impact of customers’ personality and perceptions on Internet banking use. Computers in Human Behavior, 29(3), 1133-1141.