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Investigating the Antecedents of Investment Intention and the Mediating Effect of Investment Self-efficacy among Young Adults in Shandong, China

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Purpose: This study examines the antecedents and predictors of investment intention and the mediating role of investment self-efficacy. The study empirically investigates the complexity of the decision-making process related to financial investment in Shandong, China. Design/methodology/approach: The Integrated Behavioral Model underpinned the research. The sample was selected using the judgmental-sampling method. A sample of 313 responses from young income earners aged 25 to 39 was analyzed. Twelve hypotheses were tested using the SmartPLS statistical software. Findings: The resultant outcomes contradict the normative theory of finance. The findings revealed that psychological (risk perception and subjective financial knowledge) and sociological (influences of family, friends, and Internet) factors significantly influence the attitude of young income earners toward investment. Investment self-efficacy demonstrates a significant mediating role, as the indirect effect is almost half the total effect. Evidently, subjective financial knowledge positively influences investment self-efficacy, which in turn has a positive influence on investment intent. Research limitations/implications: The result is concerning as young wage earners appear overconfident in their financial skills. Policymakers and relevant market actors should strive to improve real financial knowledge, as real financial knowledge is known to be linked with the effectiveness of financial investments. Future research in this area may adopt a mixed-method approach as it has the potential to uncover new variables and provide a broader spectrum to understand the complexity of people's investment decision-making process. Originality/value: The study highlights the complexity of the decision-making process. It highlights the central role of self-efficacy in explaining investment intention. The empirical evidence from the world's most populous nation, China, expands the relevance of behavioral finance theory in mainstream finance research.

Abstract

Purpose: This study examines the antecedents and predictors of investment intention and the mediating role of investment self-efficacy. The study empirically investigates the complexity of the decision-making process related to financial investment in Shandong, China. Design/methodology/approach: The Integrated Behavioral Model underpinned the research. The sample was selected using the judgmental-sampling method. A sample of 313 responses from young income earners aged 25 to 39 was analyzed. Twelve hypotheses were tested using the SmartPLS statistical software. Findings: The resultant outcomes contradict the normative theory of finance. The findings revealed that psychological (risk perception and subjective financial knowledge) and sociological (influences of family, friends, and Internet) factors significantly influence the attitude of young income earners toward investment. Investment self-efficacy demonstrates a significant mediating role, as the indirect effect is almost half the total effect. Evidently, subjective financial knowledge positively influences investment self-efficacy, which in turn has a positive influence on investment intent. Research limitations/implications: The result is concerning as young wage earners appear overconfident in their financial skills. Policymakers and relevant market actors should strive to improve real financial knowledge, as real financial knowledge is known to be linked with the effectiveness of financial investments. Future research in this area may adopt a mixed-method approach as it has the potential to uncover new variables and provide a broader spectrum to understand the complexity of people's investment decision-making process. Originality/value: The study highlights the complexity of the decision-making process. It highlights the central role of self-efficacy in explaining investment intention. The empirical evidence from the world's most populous nation, China, expands the relevance of behavioral finance theory in mainstream finance research.

참고문헌 (71)

  1. Ajzen, I., "The theory of planned behavior", Organizational behavior and human decision processes, 50(2), pp.179~211 (1991)
  2. Ajzen, I., "Attitudes and the attitudebehavior relation : Reasoned and automatic processes", European Review of Social Psychology, 11(1), pp.1~33 (2000)
  3. Alba, J. W., "Knowledge calibration : What consumers know and what they think they know", Journal of Consumer Research, 27(2), pp.123~156 (2000)
  4. Bandura, A., "Self-efficacy : toward a unifying theory of behavioral change", Psychological Review, 84(2), pp.191~215 (1977)
  5. Bargh, J. A., "The Internet and social life", Annu. Rev. Psychol, 55, pp.573~590 (2004)
  6. Beshears, J., "The effect of providing peer information on retirement savings decisions", Journal of Finance, 70(3), pp.1161~1201 (2015)[DOI]
  7. Bialowolski, P., "Consumer financial literacy and the efficiency of mortgage-related decisions : New evidence from the Panel study of income dynamics", International Journal of Consumer Studies, 46(1), pp.88~101 (2022)
  8. Bucher-Koenen, T., "How financially literate are women? An overview and new insights", Journal of Consumer Affairs, 51(2), pp.255~283 (2017)
  9. Castells, M., "The impact of the internet on society : A global perspective", Change, 19, pp.127~148 (2014)
  10. Combrink, S., "Potential underdog bias, overconfidence and risk propensity in investor decisionmaking behavior", Journal of Behavioral Finance, 21(4), pp.337~351 (2020)
  11. Attitudes towards investment choice and risk within the personal accounts scheme, "Collard, S.", Department for Work and Pensions, United Kingdom, ~, pp.Report of a qualitative study (Vol. 565) (2009)
  12. Chin, W. W., "Handbook of partial least squares", pp.655~690 (2010), Springer
  13. Chu, Z., "Financial literacy, portfolio choice and financial well-being", Social Indicators Research, 132(2), pp.799~820 (2017)
  14. Evaluating the predictive performance of composites in PLS path modeling, "Danks, N.", SSRN, ~, pp.Working Paper No. 3055222 (2017)
  15. Dulebohn, J. H., "Retirement savings behavior of higher education employees", Research in Higher Education, 48(5), pp.545~582 (2007)
  16. Farrell, L., "The significance of financial self-efficacy in explaining women’s personal finance behaviour", Journal of Economic Psychology, 54, pp.85~99 (2016)
  17. Fenton-O'Creevy, M., "Financial distress and money attitudes", Journal of Neuroscience, Psychology, and Economics, 14(3), pp.138~148 (2021)
  18. Fishbein, M., "The role of theory in developing effective health communications", Journal of Communication, 56(s1), pp.S1~S17 (2006)
  19. Flynn, L. R., "A short, reliable measure of subjective knowledge", Journal of Business Research, 46(1), pp.57~66 (1999)
  20. Franke, G., "Heuristics versus statistics in discriminant validity testing : A comparison of four procedures", Internet Research, 29(3), pp.430~447 (2019)
  21. Frydman, C., "The psychology and neuroscience of financial decision making", Trends in Cognitive Sciences, 20(9), pp.661~675 (2016)
  22. Wealth trends of Chinese households under the epidemic, "Gan, L.", China Household Finance Survey (CHFS), ~, pp.China Household Wealth Index Research Report (2020Q1) (2020)
  23. "Wealth change trends of Chinese households in the post-epidemic era (China Household Wealth Index Research Report 2021Q1)" (2021)[URL]
  24. Greenberg, A. E., "Financial decision making", Consumer P sy chology R eview, 2(1), pp.17~29 (2019)
  25. Grohmann, A., "Financial literacy and financial behavior : Evidence from the emerging Asian middle class", Pacific-Basin Finance Journal, 48, pp.129~143 (2018)
  26. Hair, J. F., "Multivariate data analysis" (1998), Prentice Hall
  27. Hair, J. F., "Covariance-Based Structural Equation Modeling in the Journal of Advertising : Review and Recommendations", Journal of Advertising, 46(1), pp.163~177 (2017)[DOI]
  28. Hair, J. F., "Essentials of business research methods" (2019), Routledge
  29. Hair, J. F., "When to use and how to report the results of PLS-SEM", European Business Review, 31(1), pp.2~24 (2019)[DOI]
  30. He, Y., "Analysis on the Influence Factors of the Investment Intention in High Net Worth Individual- Based on the Research of Beijing", Master, pp.2016
  31. Henseler, J., "A new criterion for assessing discriminant validity in variancebased structural equation modeling", Journal of the Academy of Marketing Science, 43(1), pp.115~135 (2015)
  32. Hoffmann, A. O., "Individual investor perceptions and behavior during the financial crisis", Journal of Banking & Finance, 37(1), pp.60~74 (2013)
  33. Hilgert, M. A., "Household financial management: The connection between knowledge and behavior", Fed. Res. Bull, 89, pp.309~322 (2003)
  34. Jorgensen, B. L., "Financial literacy of young adults : The importance of parental socialization", Family Relations, 59(4), pp.465~478 (2010)
  35. Ki, E. J., "Causal linkages among relationship quality perception, attitude, and behaviour intention in membership organization", Corporate Communications : An International Journal, 17(2), pp.187~209 (2012)
  36. Kock, N., "Common method bias in PLS-SEM : A full collinearity assessment approach", International Journal of e-Collaboration, 11(4), pp.1~10 (2015)
  37. Kock, N., "Lateral collinearity and misleading results in variance-based SEM : An illustration and recommendations", Journal of the Association for Information Systems, 13(7), pp.546~580 (2012)
  38. Lee, M. C., "Predicting and explaining the adoption of online trading : An empirical study in Taiwan", Decision Support Systems, 47, pp.133~142 (2009)
  39. Lim, H., "Financial stress, self-efficacy, and financial helpseeking behavior of college students", Journal of Financial Counseling and Planning, 25(2), pp.148~160 (2014)
  40. Thien Sang Lim, "An Investigation of Financial Investment Intention using Covariance-Based Structural Equation Modelling", Global Business and Finance Review, 25(2), pp.37~50 (2020), 사람과세계경영학회[DOI]
  41. Litterer, J. A., "The Analysis of Organizations" (1965), John Wiley& Sons
  42. Lusardi, A., "Financial literacy among the young", Journal of consumer affairs, 44(2), pp.358~380 (2010)
  43. Lusardi, A., "The economic importance of financial literacy : Theory and evidence", Journal of Economic Literature, 52(1), pp.5~44 (2014)
  44. Mathieson, K., "Predicting User Intentions : Comparing the Technology Acceptance Model with the Theory of Planned Behavior", Information Systems Research, 2(3), pp.173~191 (1991)[DOI]
  45. Montaño, D. E., "Health behavior: Theory, research, and practice", pp.2015, Jossey-Bass
  46. "Journal of Consumer Behaviour", 2007, 253~270
  47. China young people debt status report, "Nielsen", ~ (2019)
  48. Nofsinger, J. R., "Social mood and financial economics", The Journal of Behavioral Finance, 6(3), pp.144~160 (2005)
  49. Perry, V. G., "Who is in control? The role of self-perception, knowledge, and income in explaining consumer financial behavior", Journal of Consumer Affairs, 39(2), pp.299~313 (2005)
  50. Poterba, J. M., "Demographic structure and asset returns", Review of Economics and Statistics, 83(4), pp.565~584 (2001)
  51. Ramayah, T., "A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors", Computers in Human Behavior, 25(6), pp.1222~1230 (2009)
  52. Ramayah, T. J. F. H., "Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. An updated guide and practical guide to statistical analysis" (2018), Pearson Malaysia Sdn Bhd
  53. Rao, A. R., "The moderating effect of prior knowledge on cue utilization in product evaluations", Journal of Consumer Research, 15(2), pp.253~264 (1988)
  54. Ray, M. L., "New Models for Mass Communication Research" (1973), Sage Publications
  55. Ricciardi, V., "What is behavioral finance? Business", Education & Technology Journal, 2(2), pp.1~9 (2000)
  56. Rothwell, D. W., "Building financial knowledge is not enough : Financial self-efficacy as a mediator in the financial capability of low-income families", Journal of Community Practice, 24(4), pp.368~388 (2016)
  57. Shanmugham, R., "Impact of social factors on individual investors’ trading behaviour", Procedia Economics and Finance, 2, pp.237~246 (2012)
  58. Shmueli, G., "The elephant in the room : Predictive performance of PLS models", Journal of Business Research, 69(10), pp.4552~4564 (2016)
  59. Shmueli, G., "Predictive model assessment in PLS-SEM : guidelines for using PLSpredict", European Journal of Marketing, 53(11), pp.2322~2347 (2019)
  60. Shiarella, A. H., "Development and construct validity of scores on the community service attitudes scale", Educational and Psychological Measurement, 60(2), pp.286~300 (2000)
  61. Phung Thai Minh Trang, "Personality Traits, Perceived Risk, Uncertainty, and Investment Performance in Vietnam", Global Business and Finance Review, 22(1), pp.67~79 (2017), 사람과세계경영학회[DOI]
  62. Who is hit hardest during a financial crisis?, "Verick, S.", International Labour Organization (ILO) and IZA, ~, pp.IZA Discussion Paper No. 4359 (2009)
  63. Vieider, F. M., "Risk preferences and development revisited", Theory and Decision, 86(1), pp.1~21 (2019)
  64. Volpe, R., "A survey of investment literacy among online investors", Financial Counseling and Planning, 13(1), pp.1~13 (2002)
  65. Wang, A., "Interplay of Investors' Financial Knowledge and Risk Taking", Journal of Behavioural Finance, 10(4), pp.204~213 (2009)
  66. Wang, S. A., "The Effects of Audience Knowledge on Message Processing of Editorial Content", Journal of Marketing Communications, 12, pp.281~296 (2006)
  67. Wang, L. Y., "The Perceived Risk and Investment Behavior of the Bao Class Fund", Master, pp.2016
  68. Weber, E. U., "A domainspecific risk-attitude scale : Measuring risk perceptions and risk behaviors", Journal of Behavioral Decision Making, 15(4), pp.263~290 (2002)
  69. Xu, Y., "Rural Breadwinners'Financial Investment Decision-Making Behavior in Hebei Province: The Influence of Financial Knowledge, Risk Perception and Social Factors", ICIC express letters. Part B, Applications: An International Journal of Research and Surveys, 12(10), pp.949~955 (2021)
  70. Yeh, K. J., "Reconceptualizing technology use and information system success: Developing and testing a theoretically integrated model", Doctor, pp.2009
  71. Zaiton, O., "Financial Literacy:How Do University Students Fare?", Proceedings of International Borneo Business Conference 2008 (2008)

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