IDEAS home Printed from https://ideas.repec.org/a/igg/jabim0/v12y2021i1p1-23.html
   My bibliography  Save this article

Evaluating Attractiveness and Perceived Risks: The Case of Green Banking Services in Bangladesh

Author

Listed:
  • Mehree Iqbal

    (North South University, Bangladesh)

  • Afrin Rifat

    (North South University, Bangladesh)

  • Nabila Nisha

    (North South University, Bangladesh)

Abstract

Access to green banking services has the potential to improve and promote environmentally friendly practices in banking sector of Bangladesh. Beyond its usefulness for the environment, green banking also benefits the clients by offering new channels of financial services delivery in a convenient and quickly manner. While this is an attractive option, there are a number of perceived risks attached to it. This study aims to examine factors that can influence the attractiveness of green banking services, alongside explaining associated risks for its adoption in Bangladesh. Findings indicate that clients are mostly attracted to green banking services due to its social and task attractiveness. However, perceived risks like financial, time, individual, and cyber risks often hamper this attractiveness. Overall results confirm the relationship between perceived risk and attractiveness and their subsequent influence upon client's behavioral intention towards green banking services. Implications and future directions are discussed as well.

Suggested Citation

  • Mehree Iqbal & Afrin Rifat & Nabila Nisha, 2021. "Evaluating Attractiveness and Perceived Risks: The Case of Green Banking Services in Bangladesh," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(1), pages 1-23, January.
    • Handle: RePEc:igg:jabim0:v:12:y:2021:i:1:p:1-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJABIM.20210101.oa1
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ganzach, Yoav, 2000. "Judging Risk and Return of Financial Assets," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(2), pages 353-370, November.
    2. 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.
    3. Floarea NASTASE & Pavel NASTASE, 2007. "Risk Management for e-Business," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(3), pages 56-59.
    4. Mehree Iqbal & Nabila Nisha & Afrin Rifat & Pradiptarathi Panda, 2018. "Exploring Client Perceptions and Intentions in Emerging Economies: The Case of Green Banking Technology," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 9(3), pages 14-34, July.
    5. Adel Al Khattab & Hasan Al-Shalabi & Khamis Al-Khattab & Mahmaod Al-Rawad, 2015. "The effect of trust and risk perception on citizen's intention to adopt and use e-government services in Jordan," Proceedings of International Academic Conferences 1003157, International Institute of Social and Economic Sciences.
    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. Michael Humbani, 2021. "Understanding Perceived Risks in Proximity Mobile Payment Adoption in South Africa and the Mediating Effect of Perceived Value," International Review of Management and Marketing, Econjournals, vol. 11(6), pages 10-20.
    2. Nikola Milicevic & Nenad Djokic & Vera Mirovic & Ines Djokic & Branimir Kalas, 2022. "Banking Support for Energy Security: The Customer Aspect," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    3. Wajeeha Aslam & Syed Tehseen Jawaid, 2023. "Systematic Review of Green Banking Adoption: Following PRISMA Protocols," IIM Kozhikode Society & Management Review, , vol. 12(2), pages 213-233, 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. Faten Hamad, 2018. "An Overview of Hadoop Scheduler Algorithms," Modern Applied Science, Canadian Center of Science and Education, vol. 12(8), pages 1-69, August.
    2. Joanna Sokolowska & Patrycja Sleboda, 2015. "The Inverse Relation Between Risks and Benefits: The Role of Affect and Expertise," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1252-1267, July.
    3. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    4. Chiang Ku Fan & Chen-Ying Lee, 2023. "An Empirical Study of Internet Insurance in Taiwan Adopting the Theoretical Framework of UTAUT2," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(5), pages 1-1.
    5. Li, Jinfang, 2014. "Multi-period sentiment asset pricing model with information," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 118-130.
    6. Gerhard, Patrick & Hoffmann, Arvid O.I. & Post, Thomas, 2017. "Past performance framing and investors’ belief updating: Is seeing long-term returns always associated with smaller belief updates?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 38-51.
    7. Bachmann, Kremena & Meyer, Julia & Krauss, Annette, 2024. "Investment motives and performance expectations of impact investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    8. Tianzhi Gao & Qian Lu & Yiping Zhang & Hui Feng, 2024. "Does Farmers’ Cognition Enhance Their Enthusiasm for Adopting Sustainable Digital Agricultural Extension Services? Evidence from Rural China," Sustainability, MDPI, vol. 16(10), pages 1-17, May.
    9. Nadire Cavus & Yakubu Bala Mohammed & Mohammed Nasiru Yakubu, 2021. "An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    10. Martin, Rachel, 2019. "Examination and implications of experimental research on investor perceptions," Journal of Accounting Literature, Elsevier, vol. 43(C), pages 145-169.
    11. Lambert, Jérôme & Bessière, Véronique & N’Goala, Gilles, 2012. "Does expertise influence the impact of overconfidence on judgment, valuation and investment decision?," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1115-1128.
    12. Li, Jinfang, 2022. "The sentiment pricing dynamics with short-term and long-term learning," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    13. Faten Hamad, 2018. "Using Artificial Bee Colony Algorithm for Test Data Generation and Path Testing Coverage," Modern Applied Science, Canadian Center of Science and Education, vol. 12(7), pages 1-99, July.
    14. Dixon, R. & Griffiths, W. & Lim, G.C., 2014. "Lay people’s models of the economy: A study based on surveys of consumer sentiments," Journal of Economic Psychology, Elsevier, vol. 44(C), pages 13-20.
    15. Wajeeha Aslam & Syed Tehseen Jawaid, 2023. "Systematic Review of Green Banking Adoption: Following PRISMA Protocols," IIM Kozhikode Society & Management Review, , vol. 12(2), pages 213-233, July.
    16. Nazia Nazeer & Saher Ali & Aliza Rind, 2022. "Using Mixed-Method to Explore Barriers and Cues to Action in Adoption of Green Banking Practices in Commercial Banks of Pakistan," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 12(4), pages 136-153.
    17. repec:cup:judgdm:v:3:y:2008:i::p:317-324 is not listed on IDEAS
    18. Dunne, Timothy C. & Clark, Brent B. & Berns, John P. & McDowell, William C., 2019. "The technology bias in entrepreneur-investor negotiations," Journal of Business Research, Elsevier, vol. 105(C), pages 258-269.
    19. N Blasco & P Corredor & S Ferreruela, 2011. "Detecting intentional herding: what lies beneath intraday data in the Spanish stock market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1056-1066, June.
    20. Kempf, Alexander & Niessen-Ruenzi, Alexandra & Merkle, Christoph, 2009. "Low risk and high return - how emotions shape expectations on the stock market," CFR Working Papers 09-10, University of Cologne, Centre for Financial Research (CFR).
    21. Hersh Shefrin, 2015. "Investors' Judgments, Asset Pricing Factors and Sentiment," European Financial Management, European Financial Management Association, vol. 21(2), pages 205-227, March.

    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:igg:jabim0:v:12:y:2021:i:1:p:1-23. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.