IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v11y2017i4p45.html
   My bibliography  Save this article

The Factors that Affecting on the Consumers' Continuing to Use Internet Services in the Banking Industry: Empirical Evidence from Abu Dhabi, UAE

Author

Listed:
  • Anas Al-Qudah

Abstract

The aim of the current study is to discover and examine the factors that affecting consumer’s and dealers' in banking services to continue using internet banking (electronic services) in United Arab Emirates. one of the most important goal in the banking sectors is a new customer acquisition, but actually the measures of continued the new customer with the bank is more important, that called in the marketing science 'retaining customers'. And one of the most effective methods to do that is make the electronic services more attractive to customers and accorded more attention to the internet banking, to make it understandable and enforceable by any customer. The current study is a natural reaction to a gap in the current references and researches which needed the produce of more unified theoretical analysis and the determination of factors that affect the continuing using of internet banking in the regard of importance to consumers, customers, and banking dealers.The researcher trying through this study to offer a many concepts depend on theoretical models regarding to the assenting of technology that used in banking industry and circulate of creative theories in this field. The Virtual model of this study includes some variables were created by the main factors from the researcher point eye view depend on some literature was taken in consideration, these factors- Technology, channel and social factors, which effect on the customers through continuing using of internet banking. And in the regarding of Data collection, it was collected using a questionnaire was contributed in Marina mall in Abu Dhabi mall (http-//www.marinamall.ae/). A sample of this study includes 292 internet banking users. After run regression for this Data by some types analysis methods the researcher used the result of Likert scale, factor clarification and hierarchical multiple analysis, the main result of this study that the factors chosen in the model have a significantly impact on continuing using of internet banking.

Suggested Citation

  • Anas Al-Qudah, 2017. "The Factors that Affecting on the Consumers' Continuing to Use Internet Services in the Banking Industry: Empirical Evidence from Abu Dhabi, UAE," Modern Applied Science, Canadian Center of Science and Education, vol. 11(4), pages 1-45, April.
  • Handle: RePEc:ibn:masjnl:v:11:y:2017:i:4:p:45
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/66334/35902
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/mas/article/view/66334
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Morrison, Pamela D. & Roberts, John H., 1998. "Matching Electronic Distribution Channels to Product Characteristics: The Role of Congruence in Consideration Set Formation," Journal of Business Research, Elsevier, vol. 41(3), pages 223-229, March.
    2. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    3. Durkin, Mark & Jennings, Deirdre & Mulholland, Gwyneth & Worthington, Stephen, 2008. "Key influencers and inhibitors on adoption of the Internet for banking," Journal of Retailing and Consumer Services, Elsevier, vol. 15(5), pages 348-357.
    4. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    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. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    2. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Mateus Martins & Josivania Silva Farias & Pedro Henrique Melo Albuquerque & Danilo Santana Pereira, 2018. "Adoption of Technology for Reading Purposes: A Study of E-Books Acceptance," Brazilian Business Review, Fucape Business School, vol. 15(6), pages 568-588, November.
    4. Hung-Pin Shih & Pei-Chen Sung, 2021. "Addressing the Review-Based Learning and Private Information Approaches to Foster Platform Continuance," Information Systems Frontiers, Springer, vol. 23(3), pages 649-661, June.
    5. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    6. Kiljae Lee & Kyung Young Lee & Lorn Sheehan, 2020. "Hey Alexa! A Magic Spell of Social Glue?: Sharing a Smart Voice Assistant Speaker and Its Impact on Users’ Perception of Group Harmony," Information Systems Frontiers, Springer, vol. 22(3), pages 563-583, June.
    7. Andrew Burton-Jones & Allen S. Lee, 2017. "Thinking About Measures and Measurement in Positivist Research: A Proposal for Refocusing on Fundamentals," Information Systems Research, INFORMS, vol. 28(3), pages 451-467, September.
    8. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    9. Sanjeev Jha & Chen Ye, 2016. "The Impact of Demographic Variables on Perception of Importance and Continued Usage of Facebook in the US," Global Business Review, International Management Institute, vol. 17(1), pages 1-15, February.
    10. Page, Kelly L. & Uncles, Mark D., 2014. "The complexity of surveying web participation," Journal of Business Research, Elsevier, vol. 67(11), pages 2356-2367.
    11. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    12. Mehdi Darban & Minsun Kim & Ahmet Koksal, 2021. "When the technology abandonment intentions remitted: the case of herd behavior," Information Technology and Management, Springer, vol. 22(3), pages 163-178, September.
    13. Elodie Attié & Lars Meyer-Waarden, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Post-Print hal-04065165, HAL.
    14. Wallbach, Sören, 2020. "Assimilation and Diffusion of Multi-Sided Platforms in Dynamic B2B Networks: Inhibiting Factors and Their Consequences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123277, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Nan Zhang & Xunhua Guo & Guoqing Chen, 2011. "Why adoption and use behavior of IT/IS cannot last?—two studies in China," Information Systems Frontiers, Springer, vol. 13(3), pages 381-395, July.
    16. Raja Sankaran & Shibashish Chakraborty, 2021. "Factors Impacting Mobile Banking in India: Empirical Approach Extending UTAUT2 with Perceived Value and Trust," IIM Kozhikode Society & Management Review, , vol. 11(1), pages 7-24, January.
    17. Liu, Chuanlan & Forsythe, Sandra, 2011. "Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 18(1), pages 101-109.
    18. Kuo-Yu Huang & Yea-Ru Chuang, 2016. "A task–technology fit view of job search website impact on performance effects: An empirical analysis from Taiwan," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1253943-125, December.
    19. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    20. Liu, Qian & Shao, Zhen & Fan, Weiguo, 2018. "The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China," International Journal of Information Management, Elsevier, vol. 43(C), pages 209-223.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:11:y:2017:i:4:p:45. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.