IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v10y2020i4p2158244020967942.html
   My bibliography  Save this article

Predictor Factors of Intention to Use Technological Resources: A Multigroup Study About the Approach of Technology Acceptance Model

Author

Listed:
  • Ivanildo Viana Moura
  • Lauro Brito de Almeida
  • Wesley Vieira da Silva
  • Claudimar Pereira da Veiga
  • Flaviano Costa

Abstract

The aim of this article is to investigate the influence relationships between factors of an extended model of TAM (Technology Acceptance Model) and the behavioral intention of professors for the acceptance and use of information and communications technology (ICT) in work environment. The model used in this research includes, besides the original TAM variables, another five external variables. Twelve research hypotheses regarding the relationship between TAM factors and the intention and acceptance of ICT in the work environment were elaborated. Data collection was done through a questionnaire available on the Google doc platform to the teachers of the educational institution. The sample is formed by 147 teachers from several courses of one institution in the State of Paraná, Brazil. Initially, the demographic profile data were treated using descriptive statistics, confirmatory factorial analysis, and structural equations, which were the techniques used to test the research hypothesis. All research hypotheses based on the original TAM model were corroborated. Regarding the extended model, one of the external variables was not valid and was excluded from the proposed relations by two hypotheses referring to this construct. The results of the multigroup analysis—which includes the variables demographic, gender, age, schooling, and working time in the institution—showed the significant moderating effect of relationship only for the educational variable.

Suggested Citation

  • Ivanildo Viana Moura & Lauro Brito de Almeida & Wesley Vieira da Silva & Claudimar Pereira da Veiga & Flaviano Costa, 2020. "Predictor Factors of Intention to Use Technological Resources: A Multigroup Study About the Approach of Technology Acceptance Model," SAGE Open, , vol. 10(4), pages 21582440209, October.
  • Handle: RePEc:sae:sagope:v:10:y:2020:i:4:p:2158244020967942
    DOI: 10.1177/2158244020967942
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244020967942
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2158244020967942?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
    ---><---

    References listed on IDEAS

    as
    1. Arnold, Vicky & Benford, Tanya & Canada, Joseph & Sutton, Steve G., 2015. "Leveraging integrated information systems to enhance strategic flexibility and performance: The enabling role of enterprise risk management," International Journal of Accounting Information Systems, Elsevier, vol. 19(C), pages 1-16.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Christiane Bischof-dos-Santos & Adriana Roseli Wünsch Takahashi & Mônica Maier Giacomini & Clarissa Figueiredo Rocha & Claudimar Pereira Da Veiga & Luiz Carlos Duclós, 2017. "New Causal Model for Brazilian Private Higher Education Institutions: A Dynamic Capability Perspective," Information Resources Management Journal (IRMJ), IGI Global, vol. 30(1), pages 15-29, January.
    4. Ferraro, Simona, 2018. "Is information and communication technology satisfying educational needs at school?," MPRA Paper 86175, University Library of Munich, Germany.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Liette Lapointe & Suzanne Rivard, 2007. "A Triple Take on Information System Implementation," Organization Science, INFORMS, vol. 18(1), pages 89-107, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seung-hye Jung & Joon-ho Kim & Ha-na Cho & Hae-won Lee & Hyun-ju Choi, 2021. "Brand Personality of Korean Dance and Sustainable Behavioral Intention of Global Consumers in Four Countries: Focusing on the Technological Acceptance Model," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    2. Ashraf Sharif & Saira Hanif Soroya & Shakil Ahmad & Khalid Mahmood, 2021. "Antecedents of Self-Disclosure on Social Networking Sites (SNSs): A Study of Facebook Users," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    3. Md. Motaher Hossain & K. M. Zahidul Islam & Abdullah Al Masud & Md. Alamgir Hossain & Nusrat Jahan, 2023. "Antecedents and Consequences of Self-Disclosure in Subjective Well-Being: A Facebook Case With a Social Support Mediator," SAGE Open, , vol. 13(2), pages 21582440231, June.
    4. Beatriz Helena Brugnaro & Fabiana Nascimento Vieira & Gesica Fernandes & Olaf Kraus de Camargo & Laís Fumincelli & Ana Carolina de Campos & Silvia Letícia Pavão & Nelci Adriana Cicuto Ferreira Rocha, 2022. "Exploration of the Feasibility of Remote Assessment of Functioning in Children and Adolescents with Developmental Disabilities: Parents’ Perspectives and Related Contextual Factors," IJERPH, MDPI, vol. 19(22), pages 1-14, November.

    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. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    2. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    3. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    4. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    5. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    6. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    7. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    8. 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.
    9. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    10. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    11. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    12. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    13. Cliff R. Kikawa & Charity Kiconco & Moses Agaba & Dimas Ntirampeba & Amos Ssematimba & Billy M. Kalema, 2022. "Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    14. 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.
    15. Wu, Wei-Wen & Lan, Lawrence W. & Lee, Yu-Ting, 2011. "Exploring decisive factors affecting an organization's SaaS adoption: A case study," International Journal of Information Management, Elsevier, vol. 31(6), pages 556-563.
    16. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    17. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    18. Vishal K. Gupta & Suman Niranjan & Banu A. Goktan & John Eriskon, 2016. "Individual entrepreneurial orientation role in shaping reactions to new technologies," International Entrepreneurship and Management Journal, Springer, vol. 12(4), pages 935-961, December.
    19. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    20. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

    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:sae:sagope:v:10:y:2020:i:4:p:2158244020967942. 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: SAGE Publications (email available below). General contact details of provider: .

    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.