Research article

What affects the use of smartphones by the elderly? A hybrid survey from China

  • Received: 08 June 2023 Revised: 27 August 2023 Accepted: 10 September 2023 Published: 19 September 2023
  • JEL Codes: C38, D12, I18, L63, J14

  • Aging is a growing issue nowadays, and active aging is not only about the health of the elderly but also about social participation. The gap between the elderly and the digital age has to some extent reduced their motivation to participate in social activities. To explore the smartphone use behavior of the elderly, this study developed an extended model based on the technology acceptance model. A hybrid survey was carried out with data collection both online and offline. A total of 271 valid questionnaires were collected through offline field interviews and online distribution of questionnaire links, and hypothesis testing was conducted using path analysis. The results showed that both perceived usefulness and attitude toward using could directly, positively and significantly influence the intention to use. Moreover, perceived playfulness and perceived ease of use showed positive and significant relationships with perceived usefulness and attitude toward using, respectively. Therefore, we suggest that smartphone companies focus on improving perceived playfulness when designing and developing product features or applications for the elderly to increase their competitiveness based on ensuring basic technical features.

    Citation: Menghua Huang, Yingxue Ren, Xu Wang, Xinzhe Li, Li Li. What affects the use of smartphones by the elderly? A hybrid survey from China[J]. National Accounting Review, 2023, 5(3): 245-260. doi: 10.3934/NAR.2023015

    Related Papers:

  • Aging is a growing issue nowadays, and active aging is not only about the health of the elderly but also about social participation. The gap between the elderly and the digital age has to some extent reduced their motivation to participate in social activities. To explore the smartphone use behavior of the elderly, this study developed an extended model based on the technology acceptance model. A hybrid survey was carried out with data collection both online and offline. A total of 271 valid questionnaires were collected through offline field interviews and online distribution of questionnaire links, and hypothesis testing was conducted using path analysis. The results showed that both perceived usefulness and attitude toward using could directly, positively and significantly influence the intention to use. Moreover, perceived playfulness and perceived ease of use showed positive and significant relationships with perceived usefulness and attitude toward using, respectively. Therefore, we suggest that smartphone companies focus on improving perceived playfulness when designing and developing product features or applications for the elderly to increase their competitiveness based on ensuring basic technical features.



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    [1] China Internet Network Information Center (CNNIC), The 50th Statistical Report on China's Internet Development, 2022. Available from: https://www.cnnic.com.cn/IDR/ReportDownloads/.
    [2] The State Council of the People's Republic of China, China releases details of COVID-19 management shift, 2022. Available from: http://english.www.gov.cn/statecouncil/ministries/202212/28/content_WS63abe25bc6d0a757729e4d7f.html.
    [3] National Bureau of Statistics of China(NBS), Main Data of the Seventh National Population Census, 2021. Available from: http://www.stats.gov.cn/english/PressRelease/202105/t20210510_1817185.html.
    [4] Arpaci I, Yardimci Cetin Y, Turetken O (2015) Impact of Perceived Security on Organizational Adoption of Smartphones. Cyberpsychol Behav Soc Netw 18: 602–608. https://doi.org/10.1089/cyber.2015.0243 doi: 10.1089/cyber.2015.0243
    [5] Askari M, Klaver NS, van Gestel TJ, et al. (2020) Intention to use Medical Apps Among Older Adults in the Netherlands: Cross-Sectional Study. J Med Internet Res 22: e18080. https://doi.org/10.2196/18080 doi: 10.2196/18080
    [6] Bhakar SS, Bhakar S, Bhakar S (2013) Relationship between country of origin, brand image and customer purchase intentions. Far East Journal of Psychology and Business 10: 25–47.
    [7] Çelik H (2011) Influence of social norms, perceived playfulness and online shopping anxiety on customers' adoption of online retail shopping. Int J Retail Distrib Manag 39: 390–413. https://doi.org/10.1108/09590551111137967 doi: 10.1108/09590551111137967
    [8] Chen L, Aklikokou AK (2019) Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. Int J Public Adm 43: 850–865. https://doi.org/10.1080/01900692.2019.1660989 doi: 10.1080/01900692.2019.1660989
    [9] Chiu HC, Hsieh YC, Kao CY (2010) Website quality and customer's behavioural intention: an exploratory study of the role of information asymmetry. Total Qual Manag Bus Excell 16: 185–197. https://doi.org/10.1080/14783360500054277 doi: 10.1080/14783360500054277
    [10] Constantinides E, Lorenzo-Romero C, Alarcón-del-Amo MdC (2013) Social networking sites as business tool: a study of user behavior. Business Process Management: Theory and Applications 221–240. https://doi.org/10.1007/978-3-642-28409-0_9 doi: 10.1007/978-3-642-28409-0_9
    [11] Cota TT, Ishitani L, Vieira N (2015) Mobile game design for the elderly: A study with focus on the motivation to play. Comput Hum Behav 51: 96–105. https://doi.org/10.1016/j.chb.2015.04.026 doi: 10.1016/j.chb.2015.04.026
    [12] Creswell JW (2012) Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson Education, Inc.
    [13] Csikszentmihalyi M (2000) Beyond boredom and anxiety. Jossey-bass.
    [14] Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 319–340.
    [15] Featherman MS, Miyazaki AD, Sprott DE (2010) Reducing online privacy risk to facilitate e-service adoption: the influence of perceived ease of use and corporate credibility. J Serv Mark 24: 219–229. https://doi.org/10.1108/08876041011040622 doi: 10.1108/08876041011040622
    [16] Hair JF, Ringle CM, Sarstedt M (2014) PLS-SEM: Indeed a Silver Bullet. J Market Theory Pract 19: 139–152. https://doi.org/10.2753/mtp1069-6679190202 doi: 10.2753/mtp1069-6679190202
    [17] Han X, Yang Y, Li F, et al. (2020) Adding Life to Years: The Influence of Internet Use and Appearance Management on Life Satisfaction Among the Elderly. Soc Indic Res 160: 585–600. https://doi.org/10.1007/s11205-020-02342-7 doi: 10.1007/s11205-020-02342-7
    [18] Hanif Y, Lallie HS (2021) Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM - with perceived cyber security, risk, and trust. Technol Soc 67. https://doi.org/10.1016/j.techsoc.2021.101693
    [19] Hough M, Kobylanski A (2009) Increasing elder consumer interactions with information technology. J Consum Mark 26: 39–48. https://doi.org/10.1108/07363760910927037 doi: 10.1108/07363760910927037
    [20] Hsieh KL, Fanning JT, Rogers WA, et al. (2018) A Fall Risk mHealth App for Older Adults: Development and Usability Study. JMIR Aging 1: e11569. https://doi.org/10.2196/11569 doi: 10.2196/11569
    [21] Hsu CL, Chang KC, Chen MC (2011) The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators. Inf Syst E-Bus Manag. 10: 549–570. https://doi.org/10.1007/s10257-011-0181-5 doi: 10.1007/s10257-011-0181-5
    [22] Hsu CW, Peng CC (2022) What drives older adults' use of mobile registration apps in Taiwan? An investigation using the extended UTAUT model. Inform Health Soc Care 47: 258–273. https://doi.org/10.1080/17538157.2021.1990299 doi: 10.1080/17538157.2021.1990299
    [23] Hur HJ, Lee HK, Choo HJ (2017) Understanding usage intention in innovative mobile app service: Comparison between millennial and mature consumers. Comput Hum Behav 73: 353–361. https://doi.org/10.1016/j.chb.2017.03.051 doi: 10.1016/j.chb.2017.03.051
    [24] Hwang J, Lee JS, Kim H (2019) Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. Int J Hosp Manag 81: 94–103. https://doi.org/10.1016/j.ijhm.2019.03.002 doi: 10.1016/j.ijhm.2019.03.002
    [25] Kaiser HF (1960) The application of electronic computers to factor analysis. Educ Psychol Meas 20: 141–151.
    [26] Lai YH, Huang HC, Lu RS, et al. (2013) The effects of website trust, perceived ease of use, and perceived usefulness on consumers' online booking intention: Evidence from Taiwan B & B sector. Life Sci J 10: 1516–1523.
    [27] Leng GS, Lada S, Muhammad MZ, et al. (1970) An exploration of social networking sites (SNS) adoption in Malaysia using technology acceptance model (TAM), theory of planned behavior (TPB) and intrinsic motivation. The Journal of Internet Banking and Commerce 16: 1–27.
    [28] Li Q (2020) Healthcare at Your Fingertips: The Acceptance and Adoption of Mobile Medical Treatment Services among Chinese Users. Int J Environ Res Public Health 17. https://doi.org/10.3390/ijerph17186895 doi: 10.3390/ijerph17186895
    [29] Li R, Chung TL, Fiore AM (2017) Factors affecting current users' attitude towards e-auctions in China: An extended TAM study. J Retail Consum Serv 34: 19–29. https://doi.org/10.1016/j.jretconser.2016.09.003 doi: 10.1016/j.jretconser.2016.09.003
    [30] Linares M, Gallego MD, Bueno S (2021) Proposing a TAM-SDT-Based Model to Examine the User Acceptance of Massively Multiplayer Online Games. Int J Environ Res Public Health 18. https://doi.org/10.3390/ijerph18073687 doi: 10.3390/ijerph18073687
    [31] Liu H, Shao M, Liu X, et al. (2021) Exploring the Influential Factors on Readers' Continuance Intentions of E-Book APPs: Personalization, Usefulness, Playfulness, and Satisfaction. Front Psychol 12: 640110. https://doi.org/10.3389/fpsyg.2021.640110 doi: 10.3389/fpsyg.2021.640110
    [32] Lu MH, Lin W, Yueh HP (2017) Development and Evaluation of a Cognitive Training Game for Older People: A Design-based Approach. Front Psychol 8: 1837. https://doi.org/10.3389/fpsyg.2017.01837 doi: 10.3389/fpsyg.2017.01837
    [33] Lu Y, Xu H (2006) An Empirical Research on the User's Behaviors of Instant Message Services. Chinese Journal of Management 3: 614–621.
    [34] Lubua EW, Semlambo A (2017) The influence of the ease of use and perceived usefulness to the adoption of mobile money services in SMEs in Tanzania. Information Technologist (The) 14: 131–141.
    [35] McCloskey DW (2006) The importance of ease of use, usefulness, and trust to online consumers: An examination of the technology acceptance model with older customers. J Organ End User Comput 18: 47–65.
    [36] Moon JW, Kim YG (2001) Extending the TAM for a World-Wide-Web context. Inf Manage 38: 217–230.
    [37] Peek ST, Wouters EJ, van Hoof J, et al. (2014) Factors influencing acceptance of technology for aging in place: a systematic review. Int J Med Inform 83: 235–248. https://doi.org/10.1016/j.ijmedinf.2014.01.004 doi: 10.1016/j.ijmedinf.2014.01.004
    [38] Petrovčič A, Fortunati L, Vehovar V, et al. (2015) Mobile phone communication in social support networks of older adults in Slovenia. Telemat Inform 32: 642–655. https://doi.org/10.1016/j.tele.2015.02.005 doi: 10.1016/j.tele.2015.02.005
    [39] Renny, Guritno S, Siringoringo H (2013) Perceived Usefulness, Ease of Use, and Attitude Towards Online Shopping Usefulness Towards Online Airlines Ticket Purchase. Procedia - Social and Behavioral Sciences 81: 212–216. https://doi.org/10.1016/j.sbspro.2013.06.415 doi: 10.1016/j.sbspro.2013.06.415
    [40] Schmidthuber L, Maresch D, Ginner M (2020) Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model. Technol Forecast Soc Chang 155. https://doi.org/10.1016/j.techfore.2018.06.017 doi: 10.1016/j.techfore.2018.06.017
    [41] Socci M, Clarke D, Principi A (2020) Active Aging: Social Entrepreneuring in Local Communities of Five European Countries. Int J Environ Res Public Health 17. https://doi.org/10.3390/ijerph17072440 doi: 10.3390/ijerph17072440
    [42] Tajudeen Shittu A, Madarsha Basha K, Suryani Nik AbdulRahman N, et al. (2011) Investigating students' attitude and intention to use social software in higher institution of learning in Malaysia. Multicultural Education & Technology Journal 5: 194–208. https://doi.org/10.1108/17504971111166929 doi: 10.1108/17504971111166929
    [43] Talantis S, Shin YH, Severt K (2020) Conference mobile application: Participant acceptance and the correlation with overall event satisfaction utilizing the technology acceptance model (TAM). J Conv Event Tour 21: 100–122. https://doi.org/10.1080/15470148.2020.1719949 doi: 10.1080/15470148.2020.1719949
    [44] Thapa DK, Visentin D, Kornhaber R, et al. (2018) Migration of adult children and mental health of older parents 'left behind': An integrative review. PLoS One 13: e0205665. https://doi.org/10.1371/journal.pone.0205665 doi: 10.1371/journal.pone.0205665
    [45] Toropoc I (2022) The case for life expectancy at age 60 as a prominent health indicator. A comparative analysis. NAR 4: 390–411. https://doi.org/10.3934/nar.2022022 doi: 10.3934/nar.2022022
    [46] Venkatesh V, Bala H (2008) Technology acceptance model 3 and a research agenda on interventions. Decis Sci 39: 273–315.
    [47] Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage Sci 46: 186–204.
    [48] Wang H, Zhang J, Luximon Y, et al. (2022) The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors. Int J Environ Res Public Health 19. https://doi.org/10.3390/ijerph191710758 doi: 10.3390/ijerph191710758
    [49] Wang Y, Wang S, Wang J, et al. (2018) An empirical study of consumers' intention to use ride-sharing services: using an extended technology acceptance model. Transportation 47: 397–415. https://doi.org/10.1007/s11116-018-9893-4 doi: 10.1007/s11116-018-9893-4
    [50] Webster J, Martocchio JJ (1992) Microcomputer playfulness: Development of a measure with workplace implications. MIS Q 201–226.
    [51] Williams B, Onsman A, Brown T (2010) Exploratory factor analysis: A five-step guide for novices. Australasian journal of paramedicine 8: 1–13.
    [52] Yu H, Seo I, Choi J (2019) A study of critical factors affecting adoption of self-customisation service — focused on value-based adoption model. Total Qual Manag Bus Excell 30: S98–S113. https://doi.org/10.1080/14783363.2019.1665822 doi: 10.1080/14783363.2019.1665822
    [53] Zhai Y, Ge X, Liu X, et al. (2021) An internet-based multidisciplinary online medical consultation system to help cope with pediatric medical needs during the COVID-19 outbreak: a cross-sectional study. Transl Pediatr 10: 560–568. https://doi.org/10.21037/tp-20-348 doi: 10.21037/tp-20-348
    [54] Zhai Y, Song X, Chen Y, et al. (2022) A Study of Mobile Medical App User Satisfaction Incorporating Theme Analysis and Review Sentiment Tendencies. Int J Environ Res Public Health 19: https://doi.org/10.3390/ijerph19127466 doi: 10.3390/ijerph19127466
    [55] Zhong Y, Schon P, Burstrom B, et al. (2017) Association between social capital and health-related quality of life among left behind and not left behind older people in rural China. BMC Geriatr 17: 287. https://doi.org/10.1186/s12877-017-0679-x doi: 10.1186/s12877-017-0679-x
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