IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v17y2015i1d10.1007_s10796-012-9397-2.html
   My bibliography  Save this article

Profiling internet banking users: A knowledge discovery in data mining process model based approach

Author

Listed:
  • Gunjan Mansingh

    (The University of the West Indies)

  • Lila Rao

    (The University of the West Indies)

  • Kweku-Muata Osei-Bryson

    (Virginia Commonwealth University)

  • Annette Mills

    (University of Canterbury)

Abstract

Analysing datasets using data mining techniques can enhance decision making in organizations. However, to ensure that the full potential of these techniques is realised it is important that decision makers understand there are Knowledge Discovery and Data Mining (KDDM) processes that are mature enough to be adopted. This paper demonstrates the benefits of using a KDDM process to evaluate survey data for internet banking users in Jamaica which includes demographic as well as attitudinal and behavioral variables. The major benefits of following this process include the selection of a set of models, rather than a single model, which are more relevant to the business/research objectives and use of a more targeted knowledge discovery process as the data mining analyst is now directed to consider the effects the decisions in each phase will have on subsequent phases. This leads to more relevant knowledge being extracted from the data mining process.

Suggested Citation

  • Gunjan Mansingh & Lila Rao & Kweku-Muata Osei-Bryson & Annette Mills, 2015. "Profiling internet banking users: A knowledge discovery in data mining process model based approach," Information Systems Frontiers, Springer, vol. 17(1), pages 193-215, February.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:1:d:10.1007_s10796-012-9397-2
    DOI: 10.1007/s10796-012-9397-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-012-9397-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-012-9397-2?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. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, 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. Karen Furst & William Lang & Daniel Nolle, 2003. "Internet Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 23(3), pages 251-251, June.
    4. Kweku-Muata Osei-Bryson & Kendall Giles, 2006. "Splitting methods for decision tree induction: An exploration of the relative performance of two entropy-based families," Information Systems Frontiers, Springer, vol. 8(3), pages 195-209, July.
    5. Francis Kofi Andoh-Baidoo & Kweku-Muata Osei-Bryson & Kwasi Amoako-Gyampah, 2012. "Effects of firm and IT characteristics on the value of e-commerce initiatives: An inductive theoretical framework," Information Systems Frontiers, Springer, vol. 14(2), pages 237-259, April.
    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. Ram Ramesh & H. Raghav Rao, 2015. "Foreword: Information Systems Frontiers," Information Systems Frontiers, Springer, vol. 17(1), pages 1-2, February.
    2. Neeru Malhotra & Sunil Sahadev & P. S. H. Leeflang & Keyoor Purani, 2021. "New Insights into e-Loyalty of Internet Banking Users in an Emerging Market Context: A Multilevel Analysis," Information Systems Frontiers, Springer, vol. 23(6), pages 1521-1536, December.

    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. 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.
    2. 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.
    3. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    4. Amit Shankar & Biplab Datta, 2018. "Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective," Global Business Review, International Management Institute, vol. 19(3_suppl), pages 72-89, June.
    5. 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).
    6. Xinlu Wen & Marios Sotiriadis & Shiwei Shen, 2023. "Determining the Key Drivers for the Acceptance and Usage of AR and VR in Cultural Heritage Monuments," Sustainability, MDPI, vol. 15(5), pages 1-24, February.
    7. Yaprak, Ümit & Kılıç, Fatih & Okumuş, Abdullah, 2021. "Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    8. 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).
    9. Farzaneh Soleimani Zoghi, "undated". "An Empirical Study On The Impact Of Risk Perception On German Consumers Online Buying Intention," Review of Socio - Economic Perspectives 201935, Reviewsep.
    10. Wenjuan Fan & Jingnan Liu & Shuwan Zhu & Panos M. Pardalos, 2020. "Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)," Annals of Operations Research, Springer, vol. 294(1), pages 567-592, November.
    11. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    12. 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.
    13. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    14. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    15. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    16. 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).
    17. Xiaolin Lin & Mauricio Featherman & Stoney L. Brooks & Nick Hajli, 2019. "Exploring Gender Differences in Online Consumer Purchase Decision Making: An Online Product Presentation Perspective," Information Systems Frontiers, Springer, vol. 21(5), pages 1187-1201, October.
    18. Damon E. Campbell & John D. Wells & Joseph S. Valacich, 2013. "Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction," Information Systems Research, INFORMS, vol. 24(2), pages 219-238, June.
    19. Kwabena Frimpong & Obaid Al-Shuridah & Alan Wilson & Frederick Asafo-Adjei Sarpong, 2017. "Effect of inherent innovativeness and consumer readiness on attitudes to mobile banking," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 22(4), pages 187-201, December.
    20. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(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:spr:infosf:v:17:y:2015:i:1:d:10.1007_s10796-012-9397-2. 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.