IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v48y2014i1p75-89.html

Investigating parental intention of using internet filter software

Author

Listed:
  • Tsung-Hsien Tsai

  • Chien-Hung Wei
  • Chung-Yu Tsai

Abstract

The objective of this study is to survey the usage of internet filter software for blocking inappropriate web contents in Taiwan, and also to investigate the precedent factors for adopting such a prevention tool. We surveyed 417 households with children/adolescents (aged below 16) and home internet access. Participants answered questions which were designed based on the framework of the decomposed theory of planned behavior. The structural equation model was implemented to find out the relationships among constructs. Results show that only one in seven families currently uses internet filter software for blocking inappropriate web contents in Taiwan. Furthermore, this study also shows that attitude, subjective norms, and perceived behavior control are all key factors to affect parental intention of adopting internet filter software. More specifically, compatibility, peer’s influence, self-efficacy, and facilitating conditions are four major precedent variables to influence parental intention via attitude, subjective norms, and perceived behavior control. Results obtained in this study suggest the urgency of prompting the use of filter software especially when no similar alternatives are available in the market. In addition, focusing on the promotion of product’s compatible features, the use of teachers’ opinions, and the establishment of supporting resources will highly increase parental intention of using internet filter software. Copyright Springer Science+Business Media B.V. 2014

Suggested Citation

  • Tsung-Hsien Tsai & Chien-Hung Wei & Chung-Yu Tsai, 2014. "Investigating parental intention of using internet filter software," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 75-89, January.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:75-89
    DOI: 10.1007/s11135-012-9750-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-012-9750-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-012-9750-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Te-Hsin Liang & Jia-ling Peng & Ching-Yun Yu, 2012. "A simpler quality of e-life indicator: does the Internet have a positive impact on the quality of life in Taiwan," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1025-1045, June.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    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. Pan, Jing Yu & Liu, Dahai, 2022. "Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model," Transport Policy, Elsevier, vol. 119(C), pages 32-44.
    2. Mohammed Akhmaaj, Asmaeil Ali & Sharif, Mohamed Omar, 2024. "The effects of planned behavior model constructs and technology acceptance model constructs on online purchasing behavior: An empirical study on internet users in the Libya city of Tripoli," Technology in Society, Elsevier, vol. 79(C).
    3. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    4. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    5. MinJae Lee & JinKyu Lee, 2012. "The impact of information security failure on customer behaviors: A study on a large-scale hacking incident on the internet," Information Systems Frontiers, Springer, vol. 14(2), pages 375-393, April.
    6. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    7. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.
    8. Behzad Ranjbar & Amir Naeimi & Mohammad Badsar, 2022. "Designing an integrated model for strawberry growers’ behavior toward implementation of good agricultural practices in Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10924-10944, September.
    9. Yun Wang, 2020. "The Roles of Hedonic Value and Fashion Consciousness in Female Shoes Purchase Context: Application of the Theory of Planned Behavior," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 12(2), pages 1-38, July.
    10. Koo, Chulmo & Chung, Namho, 2014. "Examining the eco-technological knowledge of Smart Green IT adoption behavior: A self-determination perspective," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 140-155.
    11. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    12. Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    13. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    14. Camilleri, Mark Anthony & Camilleri, Adriana Caterina, 2022. "Remote learning via video conferencing technologies: Implications for research and practice," Technology in Society, Elsevier, vol. 68(C).
    15. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    16. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    17. Chanchai Phonthanukitithaworn & Carmine Sellitto & Michelle W. L. Fong, 2016. "A Comparative Study of Current and Potential Users of Mobile Payment Services," SAGE Open, , vol. 6(4), pages 21582440166, November.
    18. Marzieh Zendehdel & Laily Hj Paim & Syuhaily Bint Osman, 2015. "Students’ online purchasing behavior in Malaysia: Understanding online shopping attitude," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1078428-107, December.
    19. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external influence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    20. J. Hidalgo-Crespo & Andreas Riel, 2025. "Consumer Acceptance of Product as a Service Leasing Model for Home Appliances Using an Extended Theory of Planned Behavior in Ecuador," Circular Economy and Sustainability, Springer, vol. 5(6), pages 5749-5772, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:qualqt:v:48:y:2014:i:1:p:75-89. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.