IDEAS home Printed from https://ideas.repec.org/a/rnd/arjebs/v7y2015i2p124-130.html
   My bibliography  Save this article

Acceptance of Banking Information Technology in PT BNI of Makassar

Author

Listed:
  • Muchriana Muchran

Abstract

Various advantages offered by the use of internet banking, but some customers are still associated with conventional ways of doing that is through ATM transactions or queue. The research aimed to analyze trust, perceived ease of use, perceived usefulness and experience to intention to use internet banking. This research was conducted in PT BNI of Makassar. The data were obtained using questionnaire given to customers. The populations were customers of BNI Bank listed as service users of Internet banking. The sample was selected using simple random sampling technique. Hypotheses tested use of Partial Least Square (PLS) method by means of AMOS program. The results of the research indicate that among the eight hypotheses, four of them are significant, while the other four not significant. Trust has significant to perceived ease of use. Trust does not have significant to perceived usefulness. Trust has significant to intention to use internet banking. Perceived ease of use has significant to perceived usefulness. Perceived ease of use does not have significant to intention to use internet banking. Perceived usefulness does not significant to intention to use internet banking. Perceived ease of use has significant relationship with intention to use internet banking modernized by experience. Perceived usefulness does not have significant relationship with intention to use internet banking modernized by experience.

Suggested Citation

  • Muchriana Muchran, 2015. "Acceptance of Banking Information Technology in PT BNI of Makassar," Journal of Economics and Behavioral Studies, AMH International, vol. 7(2), pages 124-130.
    • Handle: RePEc:rnd:arjebs:v:7:y:2015:i:2:p:124-130
    DOI: 10.22610/jebs.v7i2(J).570
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/570/570
    Download Restriction: no
    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/570
    Download Restriction: no
    File URL: https://libkey.io/10.22610/jebs.v7i2(J).570?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. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    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. 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.
    2. 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.
    3. 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.
    4. repec:thr:techub:1009:y:2020:i:1:p:397-404 is not listed on IDEAS
    5. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    6. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    7. Keen, C. & Wetzels, M., 2001. "Exploring the Preference Structure for Online and Traditional Retail Formats," Working Papers 01.18, Eindhoven Center for Innovation Studies.
    8. Wan, Calvin & Shen, Geoffrey Qiping & Yu, Ann, 2014. "The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 141-151.
    9. 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).
    10. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    11. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    12. van Hoesel, C.P.M. & Goossens, J.H.M. & Kroon, L.G., 2001. "A branch-and-cut approach for solving line planning problems," Research Memorandum 016, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    13. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    14. El Barachi, May & Salim, Taghreed Abu & Nyadzayo, Munyaradzi W. & Mathew, Sujith & Badewi, Amgad & Amankwah-Amoah, Joseph, 2022. "The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort," Technology in Society, Elsevier, vol. 71(C).
    15. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    16. Banu Demirel & Ayça Kübra Hızarcı Payne, 2018. "Social Innovation Adoption Behavior: The Case of Zumbara," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-19, April.
    17. Kamrath, Carolin & Rajendran, Srinivasulu & Nenguwo, Ngoni & Afari-Sefa, Victor & Broring, Stefanie, 2018. "Adoption behavior of market traders: an analysis based on Technology Acceptance Model and Theory of Planned Behavior," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    18. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    19. Lombardi, Alessia & Carfora, Valentina & Cicia, Gianni & Del Giudice, Teresa & Lombardi, Pasquale & Panico, Teresa, 2017. "Exploring Willingness to Pay for QR Code Labeled Extra-Virgin Olive Oil: An Application of the Theory of Planned Behavior," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(1), pages 1-18, January.
    20. Shui-Lien Chen & June-Hong Chen & Yung Hsin Lee, 2018. "A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    21. Rekha Dahiya & Gayatri, 2017. "Investigating Indian Car Buyers’ Decision to Use Digital Marketing Communication: An Empirical Application of Decomposed TPB," Vision, , vol. 21(4), pages 385-396, December.

    More about this item

    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:rnd:arjebs:v:7:y:2015:i:2:p:124-130. 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: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/jebs .

    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.