IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13355-d943851.html
   My bibliography  Save this article

Acceptance of Social Networking Sites by Older People before and after COVID-19 Confinement: A Repeated Cross-Sectional Study in Chile, Using the Theory of Planned Behaviour (TPB)

Author

Listed:
  • Patricio Ramírez-Correa

    (Engineering School, Universidad Católica del Norte, Coquimbo 1780000, Chile)

  • Elizabeth Grandón

    (Department of Information Systems, Universidad del Bío-Bío, Concepción 4081112, Chile)

  • Jorge Arenas-Gaitán

    (Department of Business Administration and Marketing, Universidad de Sevilla, 41018 Sevilla, Spain)

  • Javier Rondán-Cataluña

    (Department of Business Administration and Marketing, Universidad de Sevilla, 41018 Sevilla, Spain)

  • Muriel Ramírez-Santana

    (Public Health Department, Faculty of Medicine, Universidad Católica del Norte, Coquimbo 1780000, Chile)

Abstract

This study aims to examine the capacity of the Theory of Planned Behaviour (TPB) to explain the intention to use social networking sites by older people in two time periods, before and after confinement due to the COVID-19 epidemic, as well as the evolution of effects (paths) over time of TPB’s determinants. Based on interviews from samples of 384 and 383 elderly Chilean adults collected before and after confinement, the evolution of the effects (paths) was analysed using the TPB model applying the PLS-SEM technique. The intention to use social networks and its association with three factors were evaluated: attitude toward the behaviour, subjective norms, and perceived control over the behaviour. The model explains the intention to use social networks by 27% before confinement, increasing its magnitude to 50% after confinement. After the period of confinement, their attitudes become more significant, their perceptions of control become less important, and social pressures remain permanent in predicting the behaviour. In conclusion, better access and greater use of social networks by older people during the lockdown period increased the predictive strength of the attitude towards these technologies.

Suggested Citation

  • Patricio Ramírez-Correa & Elizabeth Grandón & Jorge Arenas-Gaitán & Javier Rondán-Cataluña & Muriel Ramírez-Santana, 2022. "Acceptance of Social Networking Sites by Older People before and after COVID-19 Confinement: A Repeated Cross-Sectional Study in Chile, Using the Theory of Planned Behaviour (TPB)," IJERPH, MDPI, vol. 19(20), pages 1-11, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13355-:d:943851
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13355/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/20/13355/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lingchen Liu & Fan Wu & Huiying Tong & Cuihong Hao & Tingting Xie, 2021. "The Digital Divide and Active Aging in China," IJERPH, MDPI, vol. 18(23), pages 1-14, December.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    2. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    3. Donmez, Birsen & Matson, Zannah & Savan, Beth & Farahani, Ellie & Photiadis, David & Dafoe, Joanna, 2014. "Interruption management and office norms: Technology adoption lessons from a product commercialization study," International Journal of Information Management, Elsevier, vol. 34(6), pages 741-750.
    4. Hidayatno, Akhmad & Jafino, Bramka Arga & Setiawan, Andri D. & Purwanto, Widodo Wahyu, 2020. "When and why does transition fail? A model-based identification of adoption barriers and policy vulnerabilities for transition to natural gas vehicles," Energy Policy, Elsevier, vol. 138(C).
    5. Ang, James B. & Fredriksson, Per G. & Sharma, Swati, 2020. "Individualism and the adoption of clean energy technology," Resource and Energy Economics, Elsevier, vol. 61(C).
    6. Ramshani, Mohammad & Li, Xueping & Khojandi, Anahita & Omitaomu, Olufemi, 2020. "An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty," Applied Energy, Elsevier, vol. 261(C).
    7. Karakaya, Emrah, 2014. "Finite Element Model of the Innovation Diffusion: An Application to Photovoltaic Systems," INDEK Working Paper Series 2014/6, Royal Institute of Technology, Department of Industrial Economics and Management.
    8. Imran Khan & Guo Xitong & Zeeshan Ahmad & Fakhar Shahzad, 2019. "Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China," SAGE Open, , vol. 9(3), pages 21582440198, July.
    9. Nurwidiana Nurwidiana & Bertha Maya Sopha & Adhika Widyaparaga, 2022. "Simulating Socio-Technical Transitions of Photovoltaics Using Empirically Based Hybrid Simulation-Optimization Approach," Sustainability, MDPI, vol. 14(9), pages 1-25, April.
    10. Cem Keskin & M. Pınar Mengüç, 2018. "On Occupant Behavior and Innovation Studies Towards High Performance Buildings: A Transdisciplinary Approach," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
    11. Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," Working Papers hal-01296338, HAL.
    12. Singh, Shiwangi & Dhir, Sanjay & Das, V. Mukunda & Sharma, Anuj, 2020. "Bibliometric overview of the Technological Forecasting and Social Change journal: Analysis from 1970 to 2018," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    13. Boun My, Kene & Nguyen-Van, Phu & Kim Cuong Pham, Thi & Stenger, Anne & Tiet, Tuyen & To-The, Nguyen, 2022. "Drivers of organic farming: Lab-in-the-field evidence of the role of social comparison and information nudge in networks in Vietnam," Ecological Economics, Elsevier, vol. 196(C).
    14. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    15. Lee, Choong-Ki & Mjelde, James W. & Kim, Tae-Kyun & Lee, Hye-Mi, 2014. "Estimating the intention–behavior gap associated with a mega event: The case of the Expo 2012 Yeosu Korea," Tourism Management, Elsevier, vol. 41(C), pages 168-177.
    16. Zhang, Nan & Hwang, Bon-Gang & Lu, Yujie & Ngo, Jasmine, 2022. "A Behavior theory integrated ANN analytical approach for understanding households adoption decisions of residential photovoltaic (RPV) system," Technology in Society, Elsevier, vol. 70(C).
    17. Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," CEPN Working Papers hal-01296338, HAL.
    18. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
    19. Karakaya, Emrah, 2016. "Finite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?," Applied Energy, Elsevier, vol. 163(C), pages 464-475.
    20. Rajan Varadarajan, 2020. "Advancing theory in marketing: insights from conversations in other disciplines," AMS Review, Springer;Academy of Marketing Science, vol. 10(1), pages 73-84, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13355-:d:943851. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.