[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v63y2020ics0160791x19305457.html
   My bibliography  Save this article

The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model

Author

Listed:
  • Jumaan, Ibrahim A.
  • Hashim, Noor Hazarina
  • Al-Ghazali, Basheer M.
Abstract
This study uses the expectation-confirmation model (ECM) to investigate how individuals' cognitive absorption (CA) influences their continued use of mobile Internet services. Data were collected from 946 mobile Internet users. Structural equation modelling was employed to analyse the proposed model and examine the relationships between its constructs. Overall, the model accounted for 55% of the variance in mobile Internet users’ continuance intentions—an element substantially impacted by such factors as perceived usefulness, satisfaction, and CA. Of the factors, CA was found to be the most robust predictor of continuance intention. Alongside confirmation, CA also strongly influenced satisfaction. The findings of this study provide mobile network operators with insights into which determinants will inform retention policies and encourage existing users to continue using the service.

Suggested Citation

  • Jumaan, Ibrahim A. & Hashim, Noor Hazarina & Al-Ghazali, Basheer M., 2020. "The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model," Technology in Society, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x19305457
    DOI: 10.1016/j.techsoc.2020.101355
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X19305457
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2020.101355?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Young Mee Shin & Seung Chang Lee & Bongsik Shin & Ho Geun Lee, 2010. "Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes," Information Systems Frontiers, Springer, vol. 12(5), pages 595-606, November.
    2. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2018. "The moderating role of device type and age of users on the intention to use mobile shopping applications," Technology in Society, Elsevier, vol. 53(C), pages 79-90.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. 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.
    5. Se-Joon Hong & James Y. L. Thong & Jae-Yun Moon & Kar-Yan Tam, 2008. "Understanding the behavior of mobile data services consumers," Information Systems Frontiers, Springer, vol. 10(4), pages 431-445, September.
    6. Hausman, Angela V. & Siekpe, Jeffrey Sam, 2009. "The effect of web interface features on consumer online purchase intentions," Journal of Business Research, Elsevier, vol. 62(1), pages 5-13, January.
    7. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    8. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    9. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    10. Matemba, Elizabeth D. & Li, Guoxin, 2018. "Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa," Technology in Society, Elsevier, vol. 53(C), pages 55-68.
    11. Choi, Hun & Kim, Youngchan & Kim, Jinwoo, 2011. "Driving factors of post adoption behavior in mobile data services," Journal of Business Research, Elsevier, vol. 64(11), pages 1212-1217.
    12. Kim, Byoungsoo, 2012. "The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents," Telecommunications Policy, Elsevier, vol. 36(1), pages 69-81.
    13. Baabdullah, Abdullah Mohammed, 2018. "Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trust," Technology in Society, Elsevier, vol. 53(C), pages 91-102.
    14. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    15. Shirish C. Srivastava & S. Chandra & Y.-L. Theng, 2009. "The Role of Trust and Cognitive Absorption for Information Sharing In Virtual World," Post-Print hal-00496108, HAL.
    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. Hsu, Chia-Lin & Chen, Mu-Chen, 2021. "Advocating recycling and encouraging environmentally friendly habits through gamification: An empirical investigation," Technology in Society, Elsevier, vol. 66(C).
    2. (corresponding author) Afnaan Ahmed & S.M. Raihan Uddin & S.M. Rifat Hassan, 2022. "Factors Affecting Consumer Behaviour In Mobile Financial Services In Bangladesh," Asia-Pacific Sustainable Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 29(1), pages 143-167, May.
    3. Arpaci, Ibrahim, 2023. "Predictors of financial sustainability for cryptocurrencies: An empirical study using a hybrid SEM-ANN approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Ion Ovidiu Panisoara & Iulia Lazar & Georgeta Panisoara & Ruxandra Chirca & Anca Simona Ursu, 2020. "Motivation and Continuance Intention towards Online Instruction among Teachers during the COVID-19 Pandemic: The Mediating Effect of Burnout and Technostress," IJERPH, MDPI, vol. 17(21), pages 1-28, October.
    5. Wee-Kheng Tan & Ping-Hsin Liao, 2021. "What triggers usage of gift-giving apps? A comparison between users and non-users," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 515-538, September.
    6. Chong, Lee-Lee & Ong, Hway-Boon & Tan, Siow-Hooi, 2021. "Acceptability of mobile stock trading application: A study of young investors in Malaysia," Technology in Society, Elsevier, vol. 64(C).
    7. Sepasgozar, Samad M.E., 2022. "Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model," Technology in Society, Elsevier, vol. 68(C).
    8. Ong, Ardvin Kester S. & Prasetyo, Yogi Tri & Kishimoto, Ryuichi T. & Mariñas, Klint Allen & Robas, Kirstien Paola E. & Nadlifatin, Reny & Persada, Satria Fadil & Kusonwattana, Poonyawat & Yuduang, Nat, 2023. "Determining factors affecting customer satisfaction of the national electric power company (MERALCO) during the COVID-19 pandemic in the Phillippines," Utilities Policy, Elsevier, vol. 80(C).
    9. Qin Yang & Young-Chan Lee, 2021. "The Critical Factors of Student Performance in MOOCs for Sustainable Education: A Case of Chinese Universities," Sustainability, MDPI, vol. 13(14), pages 1-22, July.

    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. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    2. Gerpott, Torsten J. & Thomas, Sandra, 2014. "Empirical research on mobile Internet usage: A meta-analysis of the literature," Telecommunications Policy, Elsevier, vol. 38(3), pages 291-310.
    3. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    4. Lew, Susan & Tan, Garry Wei-Han & Loh, Xiu-Ming & Hew, Jun-Jie & Ooi, Keng-Boon, 2020. "The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model," Technology in Society, Elsevier, vol. 63(C).
    5. 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.
    6. Chong, Lee-Lee & Ong, Hway-Boon & Tan, Siow-Hooi, 2021. "Acceptability of mobile stock trading application: A study of young investors in Malaysia," Technology in Society, Elsevier, vol. 64(C).
    7. Barta, Sergio & Flavián, Carlos & Gurrea, Raquel, 2021. "Managing consumer experience and online flow: Differences in handheld devices vs PCs," Technology in Society, Elsevier, vol. 64(C).
    8. Heetae Yang & Hwansoo Lee, 2018. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 16(1), pages 1-27, February.
    9. Heetae Yang & Hwansoo Lee, 0. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 0, pages 1-27.
    10. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    11. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    12. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    13. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    14. Atandile Ngubelanga & Rodney Duffett, 2021. "Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    15. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
    16. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    17. Wong Lai Soon & Bobby Chai Boon Hui & Wong Kee Luen, 2013. "Joining the New Band: Factors Triggering the Intentions of Malaysian College and University Students to Adopt 4G Broadband," Information Management and Business Review, AMH International, vol. 5(2), pages 58-65.
    18. Yueping Zheng & Liang Ma, 2022. "How Citizen Demand Affects the Process of M-Government Adoption: An Empirical Study in China," Electronic Commerce Research, Springer, vol. 22(4), pages 1407-1433, December.
    19. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    20. Suhail Ahmad Bhat & Mushtaq Ahmad Darzi, 2019. "Exploring the Influence of Consumer Demographics on Online Purchase Benefits," FIIB Business Review, , vol. 8(4), pages 303-316, December.

    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:eee:teinso:v:63:y:2020:i:c:s0160791x19305457. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.