The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model

Lidan Liu; Yonghong Yu

doi:doi:10.11648/j.pbs.20231201.13

| Peer-Reviewed

The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model

Lidan Liu, Yonghong Yu

Published in Psychology and Behavioral Sciences (Volume 12, Issue 1)

Received: 17 January 2023 Accepted: 7 February 2023 Published: 24 February 2023

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Digital finance has increasingly become an indispensable part in life, and integral to digital finance is E-banking. However, the elderly, who are one of the target groups of inclusive finance, have a low utilization rate of digital finance and E-banking. Based on socioemotional selectivity theory, this study explored the relationship between future time perspective of the elderly in China and their use of E-banking, and the mechanism underlying the relationship. A total of 1400 elderly people (including 623 males and 777 females) aged over 60 in Ningbo and Guangzhou were recruited. Their use of E-banking, security perception, attitude and future time perspective of digital finance were investigated. The results showed that future time perspective was significantly correlated with attitude towards digital finance and use of E-banking. Future time perspective indirectly affects use of E-banking through the attitude towards digital finance. Perception of digital finance security moderated the relationship between future time perspective and attitude towards digital finance. The current research finds that the perception of future time of the elderly will affect their attitude towards digital finance and their use behavior, which can be used to promote the use of E-banking and digital finance in real life. In addition, in order to change the attitude towards digital finance of the elderly, their views on future digital financial security should also be considered. The research needs to further explore the factors that affect attitude towards digital finance of the elderly, and how to change their attitude towards digital finance through intervention.

Published in	Psychology and Behavioral Sciences (Volume 12, Issue 1)
DOI	10.11648/j.pbs.20231201.13
Page(s)	23-30
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

The Elderly, Future Time Perspective, Digital Financial Attitude, Security Perception, E-banking

References

[1]	Banks, E. (2001). E-Finance: The electronic revolution in financial Services. John Wiley & Sons, Inc.
[2]	Abbasi, T., & Weigand, H. (2017). The impact of digital financial services on firm's performance: A literature review. Papers.
[3]	Li. W. (2017). E-banking in the fintech era. China Finance, 68 (01), 68–69.
[4]	China Banking Regulatory Commission. (2007). Administrative measures for electronic banking. Bulletin of The State Council of the People's Republic of China, 14 (06), 41–48.
[5]	Lee, P. (2015). The fintech entrepreneurs Aiming to reinvent finance. Euromoney (UK), 46 (552), 42–48.
[6]	Fu, Q. Z., & Huang, Y. P. (2018). The heterogeneous impact of digital finance on rural financial demand: Evidence from China Household Finance Survey and Peking University Digital Financial Inclusion Index. Financial Research, 61 (11), 68–84.
[7]	Zhang, L. Y., & Tu, B. (2017). The differential impact of Internet finance on the consumption of urban and rural residents in China: From the functional perspective of consumer finance. Research on Finance and Trade, 38 (08), 70–83.
[8]	Qin, F., Wu, Y., & Wei, Z. (2017). Does online shopping boost household consumption in China: Empirical evidence from China Household Finance Survey (CHFS) data. Current Economic Science, 39 (06), 104–114+126.
[9]	Kraut, R., Patterson, M., Lundmark, V., Kiesler, S. & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53 (09), 1017–1031.
[10]	Chen, Y., & Persson, A. (2002). Internet use among young and older adults: Relation to psychological well-being. Educational Gerontology, 28 (09), 731–744.
[11]	Yan, A., Zou, Y., & Mirchandani, D. A. (2020). How hospitals in mainland china responded to the outbreak of covid-19 using information technology-enabled services: An analysis of hospital news webpages. Journal of the American Medical Informatics Association, 27 (7), 991–999.
[12]	Liu, J., & Guo, C. (2021). Current status and influencing factors of mobile payment among middle-aged and elderly people. Research World, 34 (08), 3–10.
[13]	Dong Y. F., Chen J. X., & Du C. D. (2020). Digital financial inclusion for poverty reduction: Theoretical logic, model construction and promotion path. Southern Finance, 42 (02), 64–73.
[14]	Ren, J. Z., & Chen, B. Z. (2020). Current situation and influencing factors of rural households' use of digital finance. Rural Finance Research, 41 (08), 9–17.
[15]	Yin, Z. C., Song, Q. Y., & Wu, Y. (2014). Financial knowledge, investment experience and household asset selection. Journal of Economic Research, 60 (04), 62–75.
[16]	Shi, Y., & Huang, M. Q. (2019). The relationship between population aging and financial inclusion in China: An empirical analysis based on provincial panel data. Fujian Finance, 34 (10), 11–18.
[17]	Rui, X., Gepp, A., TJ O 'Neill, Stern S., & Vanstone B. J. (2018). Financial literacy amongst elderly Australians. Accounting and Finance, 59 (S1), 887–918.
[18]	Polatoglu, V. N., & Ekin, S. (2001). An empirical investigation of the Turkish consumers' acceptance of internet banking services. International Journal of Bank Marketing, 19 (04), 156–165.
[19]	Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23 (01), 1–14.
[20]	Liu, G. Q., & Lv, Z. W. (2021). Research and reflection on financial development education in the context of population aging in China. Heilongjiang Finance, 42 (01), 44–46.
[21]	He, G. W., He, J., & Guo, P. (2018). Rediscussing the credit demand and credit availability of rural households. Issues in Agricultural Economy, 39 (02), 38–49.
[22]	Jiang, Q. Z., Li H., & Liu X. X. (2019). Measurement and influencing factors of the development level of rural digital inclusive finance. Research in Financial Economics, 34 (04), 123–133.
[23]	Zhou, Y. Q., & He, G. W. (2020). The impact of digital financial inclusion development on financial asset allocation of rural households. Contemporary Economic Science, 42 (03), 92–105.
[24]	Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (2), 179–211.
[25]	Li, F. Y., & Liu, Y. X. (2019). Research on influencing factors and optimization strategies of new retail service experience for the elderly. Packaging Engineering, 41 (04), 6–12.
[26]	Ainslie, G., & Haslam, N. (1992). Hyperbolic discounting. In G. Loewenstein & J. Elster (Eds.), Choice Over Time (pp. 57–92). New York: Russell Sage Foundation.
[27]	Rachlin, H. (1995). Self-control: Beyond commitment. Behavioral and Brain Sciences, 18 (01), 109–121.
[28]	Tao, Z., Yao, B. L., & Bin, W. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26 (04), 760–767.
[29]	Alsoufi, A., & Ali, H. (2014). Customers perception of M-banking adoption in kingdom of Bahrain: An Empirical Assessment of an Extended TAM model. International Journal of Managing Information Technology, 6 (1), 371–240.
[30]	Martins C., Oliveira, T., & Popovic, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34 (01), 1–13.
[31]	Qiu, J. P., Yang, Q., & Guo, L. L. (2015). Research on influencing factors of the use of internet financial products. Journal of Information, 34 (01), 179–184.
[32]	Wang, J., & Deng, W. M. (2016). Research on influencing factors of Internet financial product use based on technology acceptance model. Business Economics Research, 35 (17), 186–188.
[33]	Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quarterly, 13 (03), 319–340.
[34]	Zhang, J. Q. (2021). Analysis of influencing factors of elderly people's willingness to use mobile payment. Business Culture, 28 (25), 136–137.
[35]	Venkatesh, V., & Morris, M. (2000). Why don't men ever stop to ask for directions? Gender, social influence and their role in technology acceptance. Management Science, 24 (01), 115–139.
[36]	Li. C. G. (2016). An empirical study on the influencing factors of E-banking based on dynamic panel data model: A case study of urban commercial banks in western China. Journal of Southwest University for Nationalities (Humanities and Social Sciences Edition), 37 (09), 135–139.
[37]	Ma, K. R., Li, Z. M., & Yu, Q. (2020). Research on the development of rural digital Inclusive finance based on the theory of planned behavior: A case study of Baokang County, Hubei Province. Finance Theory and Practice, 42 (07), 97–102.
[38]	Wang, S, Y. (2017). Research on Influencing Factors of User Adoption in Internet Consumer Finance (Master's thesis). Beijing University of Posts and Telecommunications, Beijing, China.
[39]	Lan, J. Y. (2012). Analysis of factors affecting the acceptance and use of mobile payment by young users (Master's thesis). Central China Normal University, Wuhan, China.
[40]	Zhang, H. K. (2016). Current status and changes of education level of China's elderly population. Chinese Journal of Gerontology, 36 (05), 1215–1216.
[41]	Dobdinga, C. F. (2013). Customers' perception of E-banking adoption in cameroon: An empirical assessment of an extended TAM. International Journal of Economics and Finance, 5 (01), 166–176.
[42]	Chen, Y. J., & Huang, X. T. (2005). The goal role of future time perceptive. Psychological Science, 28 (05), 1096-1099.
[43]	Carstensen, L. L. (1987). Age-related Changes in Social Activity. In L. L. Carstensen & B. A. Edelstein (Eds.), Handbook of Clinical Gerontology (pp. 222–237). Elmsford, NY: Pergamon Press.
[44]	Mather, M., & Carstensen, L. L. (2005). Aging and motivated cognition: The positivity effect in attention and memory. Trends in Cognitive Sciences, 9 (10), 496–502.
[45]	Ao, L. M., Lv, H. C., & Huang X. T. (2011). An overview of socioemotional selectivity theory. Advances in Psychological Science, 19 (02), 217–223.
[46]	Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54 (03), 166–181.
[47]	Zhou, L., & Fan, H. L. (2012). The relationship between online self-disclosure and online communication motivation of college students. Chinese School Health, 33 (08), 945–947.
[48]	Yin, M., & Li, Q. (2017). A study on the willingness to participate in microblog topics based on herding and motivation theory. Information Science, 35 (04), 150–155.
[49]	Traynor, P., Butler, K., Bowers, J., & Reaves, B. (2017). Fin tech sec: Addressing the security challenges of digital financial services. IEEE Security & Privacy, 15 (05), 85–89.
[50]	Wei, X. F. (2019). Risk and regulation of digital Financial Inclusion. Finance Theory and Practice, 41 (06), 49–54.
[51]	He, H. Q. (2020). Digital Financial Inclusion Risk: realistic representation and solution approach. Journal of Lanzhou Academic, 41 (01), 68–78.
[52]	Shi, R., & Chen, X. H. (2020). Risk and regulation of digital finance. Enterprise Technology and Development, 36 (12), 126–127+130.
[53]	Slovic, P. (1987). Perception of risk. Science, 236 (4799), 280.
[54]	Egger, F. N., & Abrazhevic, D. (2001). Security & trust: Taking care of the human factor. Electronic Payment Systems Observatory Newsletterv, (09), 56–57.
[55]	Lallmahamood, M. (2007). An examination of individual's perceived security and privacy of the internet in malaysia and the influence of this on their intention to use. Journal of Internet Banking & Commerce, 12 (03), 1–26.
[56]	Dhruv, G., Jerry, G., & Howard, M. (1994). The moderating effects of message framing and source credibility on the price-perceived risk relationship. Journal of Consumer Research, 21 (01), 145–153.
[57]	Li, K., Sun, X. L., & Yan, J. Y. (2013). Analysis of influencing factors of willingness to use mobile payment system: An empirical study based on exchange theory. Management Review, 25 (03), 91–100.
[58]	Pavlou, A. P. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7 (03), 101–134.
[59]	Shen, L. (2015). Research on continuous use intention of mobile banking based on UTAUT and Perceived risk model (Master's thesis). Beijing University of Posts and Telecommunications, Beijing, China.
[60]	Zhang, J. W., Howell R. T. & Bowerman T. (2013). Validating a brief measure of the Zimbardo time perspective inventory. TIME & SOCIETY, 22 (03), 391–409.
[61]	Lawton, M. P., Moss, M. S., Winter, L., & Hoffman, C. (2002). Motivation in later life: Personal projects and well-being. Psychology & Aging, 17 (4), 539–547.
[62]	Saajanaho, M., Merja, R., Erja, P., Timo, T., Johanna E., Tsai, L., Marja, J., & Taina, R. (2016). Life resources and personal goals in old age. European Journal of Ageing, 13 (3), 195–208.
[63]	Zhao, X. S., Lynch, J. G., & Chen, Q. M. (2010). Reconsidering baron and kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37 (2), 197–206.
[64]	Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and Interpreting Interactions. Newbury Park: Sage.
[65]	Rabinovich, A., Morton, T., & Postmes, T. (2011). Time perspective and attitude-behaviour consistency in future-oriented behaviours. British Journal of Social Psychology, 49 (01), 69–89.
[66]	Zhang, X., Fung, H., & Ching, B. H. (2009). Age differences in goals: Implications for health promotion. Aging and Mental Health, 13 (03), 336–348.
[67]	Xu, S., Hu, Y., Wang, K., & Fang, H. F. (2020). Research on college students' financial attitude and suggestions on financial education: A case study of some universities in Jiangsu Province. Times Finance, 41 (35), 118–121.
[68]	Kang, H. K., Lim, J., & Cho, H. (2014). The role of time perspectives in leisure involvement and attitude. Korean Journal of Lesure, Recreation & Park, 38 (03), 166–175.
[69]	Zimbardo, P. G., & Boyd, J. N. (1999) Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77 (6), 1271–1288.
[70]	Kim, S. P., Byun, C. G., & Ha, H. (2015). The effect of future time perspective on attitude toward business start-up: The mediating effects of self-efficacy and tolerance of ambiguity. Korean Management Consulting Review, 15 (04), 47–56.
[71]	Fazio, R. H., & Williams, C. J. (1986). Attitude accessibility as a moderator of the attitude - perception and attitude - behaviour relations: An investigation of the 1984 presidential election. Journal of Personality and Social Psychology, 51, 505–514.
[72]	Fazio, R. H., Powell, M. C., & Williams, C. J. (1989). The role of attitude accessibility in the attitude-to-behaviour process. Journal of Consumer Research, 16 (03), 280–289.
[73]	Ajzen, I., & Fishbein M. (2005). “The influence of attitudes on behaviour” in The Handbook of Attitudes, eds Albarracín D., Johnson B. T., Zanna M. P., editors. Mahwah, NJ: Lawrence Erlbaum, 173-221.
[74]	Mark, C., Paschal, S. P., Norman, P., & Armitage, C. J. (2000). Temporal stability as a moderator of relationships in the theory of planned behaviour. British Journal of Social Psychology, 39 (4), 469–493.
[75]	Kin-Kit, L. (2019). Negotiations between health and social goals over the lifespan: The role of future time perspective. Journal of health psychology, 24 (09), 1233–1244.
[76]	Liu, X., Peng, H., & Cai, X. (2020). Future time perspective drives younger and older adults to continue investing in failing Activities. International Journal of Psychology, 55 (06), 964–972.

Cite This Article

Plain Text BibTeX RIS

APA Style

Lidan Liu, Yonghong Yu. (2023). The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model. Psychology and Behavioral Sciences, 12(1), 23-30. https://doi.org/10.11648/j.pbs.20231201.13

Copy | Download

ACS Style

Lidan Liu; Yonghong Yu. The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model. Psychol. Behav. Sci. 2023, 12(1), 23-30. doi: 10.11648/j.pbs.20231201.13

Copy | Download

AMA Style

Lidan Liu, Yonghong Yu. The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model. Psychol Behav Sci. 2023;12(1):23-30. doi: 10.11648/j.pbs.20231201.13

Copy | Download

@article{10.11648/j.pbs.20231201.13,
  author = {Lidan Liu and Yonghong Yu},
  title = {The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model},
  journal = {Psychology and Behavioral Sciences},
  volume = {12},
  number = {1},
  pages = {23-30},
  doi = {10.11648/j.pbs.20231201.13},
  url = {https://doi.org/10.11648/j.pbs.20231201.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20231201.13},
  abstract = {Digital finance has increasingly become an indispensable part in life, and integral to digital finance is E-banking. However, the elderly, who are one of the target groups of inclusive finance, have a low utilization rate of digital finance and E-banking. Based on socioemotional selectivity theory, this study explored the relationship between future time perspective of the elderly in China and their use of E-banking, and the mechanism underlying the relationship. A total of 1400 elderly people (including 623 males and 777 females) aged over 60 in Ningbo and Guangzhou were recruited. Their use of E-banking, security perception, attitude and future time perspective of digital finance were investigated. The results showed that future time perspective was significantly correlated with attitude towards digital finance and use of E-banking. Future time perspective indirectly affects use of E-banking through the attitude towards digital finance. Perception of digital finance security moderated the relationship between future time perspective and attitude towards digital finance. The current research finds that the perception of future time of the elderly will affect their attitude towards digital finance and their use behavior, which can be used to promote the use of E-banking and digital finance in real life. In addition, in order to change the attitude towards digital finance of the elderly, their views on future digital financial security should also be considered. The research needs to further explore the factors that affect attitude towards digital finance of the elderly, and how to change their attitude towards digital finance through intervention.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model
AU  - Lidan Liu
AU  - Yonghong Yu
Y1  - 2023/02/24
PY  - 2023
N1  - https://doi.org/10.11648/j.pbs.20231201.13
DO  - 10.11648/j.pbs.20231201.13
T2  - Psychology and Behavioral Sciences
JF  - Psychology and Behavioral Sciences
JO  - Psychology and Behavioral Sciences
SP  - 23
EP  - 30
PB  - Science Publishing Group
SN  - 2328-7845
UR  - https://doi.org/10.11648/j.pbs.20231201.13
AB  - Digital finance has increasingly become an indispensable part in life, and integral to digital finance is E-banking. However, the elderly, who are one of the target groups of inclusive finance, have a low utilization rate of digital finance and E-banking. Based on socioemotional selectivity theory, this study explored the relationship between future time perspective of the elderly in China and their use of E-banking, and the mechanism underlying the relationship. A total of 1400 elderly people (including 623 males and 777 females) aged over 60 in Ningbo and Guangzhou were recruited. Their use of E-banking, security perception, attitude and future time perspective of digital finance were investigated. The results showed that future time perspective was significantly correlated with attitude towards digital finance and use of E-banking. Future time perspective indirectly affects use of E-banking through the attitude towards digital finance. Perception of digital finance security moderated the relationship between future time perspective and attitude towards digital finance. The current research finds that the perception of future time of the elderly will affect their attitude towards digital finance and their use behavior, which can be used to promote the use of E-banking and digital finance in real life. In addition, in order to change the attitude towards digital finance of the elderly, their views on future digital financial security should also be considered. The research needs to further explore the factors that affect attitude towards digital finance of the elderly, and how to change their attitude towards digital finance through intervention.
VL  - 12
IS  - 1
ER  -

Copy | Download

Author Information

Lidan Liu

School of Sociology and Psychology, Central University of Finance and Economics, Beijing, China
Yonghong Yu

School of Sociology and Psychology, Central University of Finance and Economics, Beijing, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Lidan Liu, Yonghong Yu. (2023). The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model. Psychology and Behavioral Sciences, 12(1), 23-30. https://doi.org/10.11648/j.pbs.20231201.13

Copy | Download

ACS Style

Lidan Liu; Yonghong Yu. The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model. Psychol. Behav. Sci. 2023, 12(1), 23-30. doi: 10.11648/j.pbs.20231201.13

Copy | Download

AMA Style

Lidan Liu, Yonghong Yu. The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model. Psychol Behav Sci. 2023;12(1):23-30. doi: 10.11648/j.pbs.20231201.13

Copy | Download

@article{10.11648/j.pbs.20231201.13,
  author = {Lidan Liu and Yonghong Yu},
  title = {The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model},
  journal = {Psychology and Behavioral Sciences},
  volume = {12},
  number = {1},
  pages = {23-30},
  doi = {10.11648/j.pbs.20231201.13},
  url = {https://doi.org/10.11648/j.pbs.20231201.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20231201.13},
  abstract = {Digital finance has increasingly become an indispensable part in life, and integral to digital finance is E-banking. However, the elderly, who are one of the target groups of inclusive finance, have a low utilization rate of digital finance and E-banking. Based on socioemotional selectivity theory, this study explored the relationship between future time perspective of the elderly in China and their use of E-banking, and the mechanism underlying the relationship. A total of 1400 elderly people (including 623 males and 777 females) aged over 60 in Ningbo and Guangzhou were recruited. Their use of E-banking, security perception, attitude and future time perspective of digital finance were investigated. The results showed that future time perspective was significantly correlated with attitude towards digital finance and use of E-banking. Future time perspective indirectly affects use of E-banking through the attitude towards digital finance. Perception of digital finance security moderated the relationship between future time perspective and attitude towards digital finance. The current research finds that the perception of future time of the elderly will affect their attitude towards digital finance and their use behavior, which can be used to promote the use of E-banking and digital finance in real life. In addition, in order to change the attitude towards digital finance of the elderly, their views on future digital financial security should also be considered. The research needs to further explore the factors that affect attitude towards digital finance of the elderly, and how to change their attitude towards digital finance through intervention.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - The Relationship Between Future Time Perspective of the Elderly and the Use of E-banking: A Moderated Mediator Model
AU  - Lidan Liu
AU  - Yonghong Yu
Y1  - 2023/02/24
PY  - 2023
N1  - https://doi.org/10.11648/j.pbs.20231201.13
DO  - 10.11648/j.pbs.20231201.13
T2  - Psychology and Behavioral Sciences
JF  - Psychology and Behavioral Sciences
JO  - Psychology and Behavioral Sciences
SP  - 23
EP  - 30
PB  - Science Publishing Group
SN  - 2328-7845
UR  - https://doi.org/10.11648/j.pbs.20231201.13
AB  - Digital finance has increasingly become an indispensable part in life, and integral to digital finance is E-banking. However, the elderly, who are one of the target groups of inclusive finance, have a low utilization rate of digital finance and E-banking. Based on socioemotional selectivity theory, this study explored the relationship between future time perspective of the elderly in China and their use of E-banking, and the mechanism underlying the relationship. A total of 1400 elderly people (including 623 males and 777 females) aged over 60 in Ningbo and Guangzhou were recruited. Their use of E-banking, security perception, attitude and future time perspective of digital finance were investigated. The results showed that future time perspective was significantly correlated with attitude towards digital finance and use of E-banking. Future time perspective indirectly affects use of E-banking through the attitude towards digital finance. Perception of digital finance security moderated the relationship between future time perspective and attitude towards digital finance. The current research finds that the perception of future time of the elderly will affect their attitude towards digital finance and their use behavior, which can be used to promote the use of E-banking and digital finance in real life. In addition, in order to change the attitude towards digital finance of the elderly, their views on future digital financial security should also be considered. The research needs to further explore the factors that affect attitude towards digital finance of the elderly, and how to change their attitude towards digital finance through intervention.
VL  - 12
IS  - 1
ER  -

Copy | Download