Open Access
Issue
SHS Web Conf.
Volume 230, 2026
SYMBICON 2026 – 5th Annual International Conference on Sustainability, Innovation, and Technology
Article Number 06002
Number of page(s) 7
Section Sustainable Marketing, Consumers, and Society
DOI https://doi.org/10.1051/shsconf/202623006002
Published online 10 April 2026
  1. A.S. Yang, Exploring adoption difficulties in mobile banking services. Can. J. Adm. Sci. 26, 136–149 (2009). https://doi.org/10.1002/cjas.102 [Google Scholar]
  2. B. Kishori, P.D. Kumar, A study on factors influencing the investors’ decision making in stock market with special reference to Indian stock market. Int. J. Manag. Commer. Innov. 4, 39–43 (2016). [Google Scholar]
  3. S.T. Sultana, S. Pardhasaradhi, An empirical analysis of factors influencing Indian individual equity investors’ decision making and behavior. Eur. J. Bus. Manag. 4, 50–61 (2012). [Google Scholar]
  4. T.M. Obamuyi, Factors influencing investment decisions in capital market: A study of individual investors in Nigeria. Organ. Mark. Emerg. Econ. 4, 141–161 (2013) [Google Scholar]
  5. M.T. Bradshaw, How do analysts use their earnings forecasts in generating stock recommendations? Account. Rev. 79, 25–50 (2004). https://doi.org/10.2308/accr.2004.79.1.25 [Google Scholar]
  6. J.H. Choi, A. Kalay, G. Sadka, Earnings news, expected earnings, and aggregate stock returns. J. Financ. Mark. 29, 110–143 (2016). https://doi.org/10.1016/j.finmar.2016.02.001 [Google Scholar]
  7. A. Rubin, E. Rubin, Informed investors and the internet. J. Bus. Finance Account. 37, 841–865 (2010). https://doi.org/10.1111/j.1468-5957.2010.02187.x [Google Scholar]
  8. J.A. Doukas, C. Kim, C. Pantzalis, The two faces of analyst coverage. Financ. Manag. 34, 99–125 (2005). https://doi.org/10.1111/j.1755-053X.2005.tb00101.x [Google Scholar]
  9. A. Guddati, D. Bhat, Analysis of pre-existing investment behavior and influence of trading apps. J. Stud. Res. 10 (2021). [Google Scholar]
  10. J.E. Johnson, J.C. Moreno-Paredes, M.C. Sung, T. Ma, C. Tai, The influence of smart phone apps on trading behavior, in Proceedings of the 24th Conference on the Theories and Practices of Securities and Financial Markets (SFM 2016), Kaohsiung, Taiwan, December (2016). [Google Scholar]
  11. V. Venkatesh, M.G. Morris, G.B. Davis, F.D. Davis, User acceptance of information technology: Toward a unified view. MIS Q. 27, 425–478 (2003). https://doi.org/10.2307/30036540 [CrossRef] [Google Scholar]
  12. P.Y. Chau, K.L. Hui, Identifying early adopters of new IT products: A case of Windows 95, Inf. & Manag. 33, (1998). https://doi.org/10.1016/S0378-7206(98)00031-7 [Google Scholar]
  13. D. Bawden, L. Robinson, The dark side of information: Overload, anxiety and other paradoxes and pathologies. J. Inf. Sci. 35, 180–191 (2009). https://doi.org/10.1177/0165551508095781 [Google Scholar]
  14. A. Sharma, A. Goel, S. Rastogi, V.M. Bhimavarapu, Factors accountable for non-participation in the stock market: Identification and ranking. SAMVAD 23, 50–64 (2022). [Google Scholar]
  15. J.C. Nunnally, Psychometric Theory, 3rd edn. (Tata McGraw-Hill Education, (1994). [Google Scholar]

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