Indian Journal of Marketing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Digital Banking : A Meta-Analysis Approach


Affiliations
1 GD Goenka University, Sohna - Gurgaon Road, Sohna - 122 001, Haryana, India
2 SOIL Institute, Bhagwan Mahaveer Marg, Sector 44, Gurugram - 122 003, Haryana, India
3 Prince Mohammad Bin Fahd University, 617, Al Jawharah, Khobar, Dhahran 34754, Saudi Arabia
4 Pearl Academy, A-21/13, Naraina Industrial Area, Phase II, Near Shadipur Metro Station, New Delhi - 110 028, India
     

   Subscribe/Renew Journal


This research paper attempted to study the behavioral intention adoption of prominent digital banking channels, such as mobile banking and wallets and online and telephone banking, in an international scenario. The behavioral intention adoption of mobile banking was studied through seven bivariate relationships: perceived usefulness, perceived ease of use, facilitating conditions, perceived security, cost, self-efficacy, and innovativeness in a global context, which have had a profound impact on the desire of people to adopt digital banking channels. The seven bivariate relationships were analyzed through a meta-analysis approach in a universal framework. The main findings were that location is a major contributor to heterogeneity in a comprehensive global framework. The main managerial implications of the paper are that the universal adoption of digital banking adoption is being significantly affected by location, and global strategists should, therefore, keep this constraint in mind while framing international policies and launching new digital products. Such products must appeal to the location to be successful. An important social link that the current research highlighted was that location has vital linkages with other social factors such as religion, caste, race, color, income, gender, education, family size, buying habits, and wealth, which need to be explored in detail for a better examination of the successful adoption of digital banking channels.

Keywords

perceived use, perceived ease of use, innovativeness, facilitating conditions, perceived security, cost, self-efficacy.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Aboelmaged, M. G., & Gebba, T. R. (2013). Mobile banking adoption: An examination of technology acceptance model and theory of planned behavior. International Journal of Business Research and Development, 2(1), 35–50.

  • Agyei, J., Sun, S., Abrokwah, E., Penney, E. K., & Ofori-Boafo, R. (2020). Mobile banking adoption: Examining the role of personality traits. SAGE Open, 10(2). https://doi.org/10.1177/2158244020932918

  • Akhtar, S., Irfan, M., Sarwar, A., Asma, & Rashid, Q. U. (2019). Factors influencing individuals' intention to adopt mobile banking in China and Pakistan : The moderating role of cultural values. Journal of Public Affairs, 19(1), e1884. https://doi.org/10.1002/pa.1884

  • Al Khasawneh, M. H. (2015). An empirical examination of consumer adoption of mobile banking (M-banking) in Jordan.Journal of Internet Commerce ,14(3),341–362 . https://doi.org/10.1080/15332861.2015.1045288

  • Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002

  • Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016). Jordanian consumers' adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing, 34(5), 690 – 709. https://doi.org/10.1108/IJBM-06-2015-0093

  • Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/JEIM-04-2015-0035

  • Alkhowaiter, W. A. (2020). Digital payment and banking adoption research in Gulf countries: A systematic literature review. International Journal of Information Management, 53,102102 . https://doi.org/10.1016/j.ijinfomgt.2020.102102

  • Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society,62,101293 . https://doi.org/10.1016/j.techsoc.2020.101293

  • Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Patil, P., & Dwivedi, Y. K. (2019). An integrated model for m-banking adoption in Saudi Arabia. International Journal of Bank Marketing, 37 (2), 452–478. https://doi.org/10.1108/IJBM-07-2018-0183

  • Bakhsh, M., Mahmood, A., & Sangi, N. A. (2017). Examination of factors influencing students and faculty behavior towards m-learning acceptance: An empirical study. International Journal of Information and Learning Technology, 34(3), 166 – 188. https://doi.org/10.1108/IJILT-08-2016-0028

  • Borenstein, M., Hedges, L., & Rothstein, H. (2007). Meta-analysis fixed effect vs. random effects. https://www.meta-analysis.com/

  • Chandel, A., & Vij, R. (2019). E-banking service quality: A scale development and validation attempt. Indian Journal of Marketing, 49(9), 23 – 41. https://doi.org/10.17010/ijom/2019/v49/i9/146938

  • Chaouali, W., Ben Yahia, I., Lunardo, R., & Triki, A. (2019). Reconsidering the “what is beautiful is good” effect: When and how design aesthetics affect intentions towards mobile banking applications. International Journal of Bank Marketing, 37(7), 1525 – 1546. https://doi.org/10.1108/IJBM-12-2018-0337

  • Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590 –1618. https://doi.org/10.1108/IJBM-09-2018-0256

  • Chawla, D., & Joshi, H. (2020). The moderating role of gender and age in the adoption of mobile wallet. Foresight, 22(4), 483 – 504. https://doi.org/10.1108/FS-11-2019-0094

  • Chemingui, H., & Ben Lallouna, H. (2013). Resistance, motivations, trust and intention to use mobile financial services. International Journal of Bank Marketing, 31(7), 574 – 592. https://doi.org/10.1108/IJBM-12-2012-0124

  • Chiu, J. L., Bool, N. C., & Chiu, C. L. (2017). Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines. Asia Pacific Journal of Innovation and Entrepreneurship, 11(2), 246 – 278. https://doi.org/10.1108/apjie-08-2017-029

  • Chong, A. Y.-L., Ooi, K.-B., Lin, B., & Tan, B.-I. (2010). Online banking adoption: An empirical analysis.International Journal of Bank Marketing, 28(4),267–287 . https://doi.org/10.1108/02652321011054963

  • Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10(2), 148 – 167. https://doi.org/10.1080/17437199.2014.947547

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319 – 340. https://doi.org/10.2307/249008

  • Dodhia, R. M. (2005). A review of Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd ed.).Journal of Educational and Behavioral Statistics, 30(2), 227–229 . https://doi.org/10.3102/10769986030002227

  • Flavián, C., Guinaliu, M., & Lu, Y. (2020). Mobile payments adoption – Introducing mindfulness to better understand consumer behavior. International Journal of Bank Marketing , 38 (7), 1575–1599. https://doi.org/10.1108/IJBM-01-2020-0039

  • Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management , 32 (6), 1015–1033. https://doi.org/10.1108/JEIM-10-2018-0237

  • Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics , 26(2), 211–231 . https://doi.org/10.1108/APJML-06-2013-0061

  • Gbongli, K., Xu, Y., & Amedjonekou, K. M. (2019). Extended technology acceptance model to predict mobile-based money acceptance and sustainability: A multi-analytical structural equation modeling and neural network approach. Sustainability, 11(13), 3639. https://doi.org/10.3390/su11133639

  • Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing, 37(5), 1165–1189. https://doi.org/10.1108/IJBM-08-2018-0200

  • Glavee-Geo, R., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile banking services adoption in Pakistan: Are there gender differences? International Journal of Bank Marketing, 35 (7), 1090–1114. https://doi.org/10.1108/IJBM-09-2015-0142

  • Guo, Y., Bao, Y., Stuart, B. J., & Le-Nguyen, K. (2018). To sell or not to sell: Exploring sellers' trust and risk of chargeback fraud in cross-border electronic commerce. Information Systems Journal, 28(2), 359–383. https://doi.org/10.1111/isj.12144

  • Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Shirkhani Tabar, M. J. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics,31(1),62–78 . https://doi.org/10.1016/j.tele.2012.11.001

  • Hsu, C.-L., Wang, C.-F., & Lin, J. C.-C. (2011). Investigating customer adoption behaviours in mobile financial services.International Journal of Mobile Communications, 9(5), 477–494 . https://doi.org/10.1504/IJMC.2011.042455

  • Jiang, T.-H., Chen, S.-L., & Chen, J. K. (2016). Examining the role of behavioral intention on multimedia teaching materials using FSQCA. Journal of Business Research,69(6),2252 – 2 2 5 8 . https://doi.org/10.1016/j.jbusres.2015.12.038

  • Karjaluoto, H., Töllinen, A., Pirttiniemi, J., & Jayawardhena, C. (2014). Intention to use mobile customer relationship management systems. Industrial Management & Data Systems , 114(6),966–978. https://doi.org/10.1108/IMDS-11-2013-0480

  • Kelly, G.(2014). The digitalrevolution in banking. Group of Thirty . https://group30.org/images/uploads/publications/G30_DigitalRevolutionBanking.pdf

  • Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327–346. https://doi.org/10.1108/IJBM-03-2015-0025

  • Krishanan, D., Khin, A. A., Teng, K. L., & Chinna, K. (2016). Consumers' perceived interactivity and intention to use mobile banking in structural equation modeling. International Review of Management and Marketing, 6(4), 883 – 890. https://econjournals.com/index.php/irmm/article/view/3202

  • Kumar, G., & Shenbagaraman, V. M. (2017). The customers' perception of mobile banking adoption in Chennai city. An empirical assessment of an extended technology acceptance model. International Journal of Business Information Systems, 26(1), 46 – 65. https://dx.doi.org/10.1504/IJBIS.2017.086056

  • Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130 –141. https://doi.org/10.1016/j.elerap.2008.11.006

  • Leong, C.-M., Tan, K.-L., Puah, C.-H., & Chong, S.-M. (2021). Predicting mobile network operators users m-payment intention. European Business Review, 33(1). https://doi.org/10.1108/EBR-10-2019-0263

  • Madhava Priya, D., Prashanth, J., & Indira, A. (2019). Sustainability of small merchants through digital technologies. Prabandhan: Journal of Information Management, 12(1),8–20 . https://doi.org/10.17010/pijom/2019/v12i1/141424

  • Makanyeza, C. (2017). Determinants of consumers' intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997–1017. https://doi.org/10.1108/IJBM-07-2016-0099

  • Makanyeza, C., & Mutambayashata, S. (2018). Consumers' acceptance and use of plastic money in Harare, Zimbabwe: Application of the unified theory of acceptance and use of technology 2. International Journal of Bank Marketing, 36(2), 379–392. https://doi.org/10.1108/IJBM-03-2017-0044

  • Malaquias, R. F., & Hwang, Y. (2019). Mobile banking use: A comparative study with Brazilian and U.S. participants. International Journal of Information Management , 44,132–140 . https://doi.org/10.1016/j.ijinfomgt.2018.10.004

  • Malik, A., & Dangi, H. K. (2021). A qualitative inquiry on information search behaviour for services in India. Indian Journal of Marketing, 51(3), 8–20. https://doi.org/10.17010/ijom/2021/v51/i3/158059

  • McGovern, P., Lambert, J., & Verrecchia, M. (2019). Mobile banking adoption: An exploration of the behavioural intention of consu mersinIrel and. Journal of Accounting and Finance,19(8). https://doi.org/10.33423/jaf.v19i8.2614

  • Melnychenko, S., Volosovych, S., & Baraniuk, Y. (2020). Dominant ideas of financial technologies in digital banking. Baltic Journal of Economic Studies, 6(1), 92 – 99. https://doi.org/10.30525/2256-0742/2020-6-1-92-99

  • Mohammadi, H. (2015). A study of mobile banking usage in Iran. International Journal of Bank Marketing, 33(6), 733 – 759. https://doi.org/10.1108/IJBM-08-2014-0114

  • Mohd Daud, N., Mohd Kassim, N. E., Wan Mohd Said, W. S., & Mohd Noor, M. M. (2011). Determining critical success factors of mobile banking adoption in Malaysia. Australian Journal of Basic and Applied Sciences, 5(9), 252 – 265.

  • Moorthy, K., Chun T'ing, L., Chea Yee, K., Wen Huey, A., Joe In, L., Chyi Feng, P., & Jia Yi, T. (2020). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance & Economics, 25(3), 349–364. https://doi.org/10.1002/ijfe.1756

  • Mortimer, G., Neale, L., Hasan, S. F., & Dunphy, B. (2015). Investigating the factors influencing the adoption of m-banking: A cross cultural study. International Journal of Bank Marketing, 33(4), 545–570. https://doi.org/10.1108/IJBM-07-2014-0100

  • Mugambe, P. (2017). UTAUT model in explaining the adoption of mobile money usage by MSMEs' customers in Uganda. Advances in Economics and Business,5(3),129–136 . https://doi.org/10.13189/aeb.2017.050302

  • Nagdev, K., & Rajesh, A. (2018). Consumers' intention to adopt internet banking: An Indian perspective. Indian Journal of Marketing, 48(6), 42–56. https://doi.org/10.17010/ijom/2018/v48/i6/127835

  • Oertzen, A.-S., & Odekerken-Schröder, G. (2019). Achieving continued usage in online banking: A post-adoption study. International Journal of Bank Marketing, 37(6), 1394 – 1418. https://doi.org/10.1108/IJBM-09-2018-0239

  • Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance red ressal . International Journal of Information Management , 54,102144 . https://doi.org/10.1016/j.ijinfomgt.2020.102144

  • Pipitwanichakarn, T., & Wongtada, N. (2021). Leveraging the technology acceptance model for mobile commerce adoption under distinct stages of adoption: A case of micro businesses. Asia Pacific Journal of Marketing and Logistics, 33(6), 1415 – 1436. https://doi.org/10.1108/APJML-10-2018-0448

  • Prasad, S., & Sen, S. (2018). Role of conviction in the impact of electronic word of mouth on purchase intention for financial products and services .Indian Journal of Marketing, 4 8 ( 1 ) , 4 7 – 6 0 . https://doi.org/10.17010/ijom/2018/v48/i1/120735

  • Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Extension of technology continuance theory (TCT) with task technology fit (TTF) in the context of Internet banking user continuance intention. International Journal of Quality and Reliability Management, 38(4), 986 – 1004. https://doi.org/10.1108/IJQRM-03-2020-0074

  • Reddy, T. T., & Rao, B. M. (2019). The moderating effect of gender on continuance intention toward mobile wallet services in India . Indian Journal of Marketing , 4 9 ( 4 ) , 4 8 – 6 2 . https://doi.org/10.17010/ijom/2019/v49/i4/142976

  • Reddy, T. T., & Rao, B. M. (2021). Determinants of continuance intention to use mobile wallet services: Light users vs. heavy users .Indian Journal of Marketing, 5 1 ( 2 ) , 2 9 – 4 2 . https://doi.org/10.17010/ijom/2021/v51/i2/157549

  • Roy, S., & Moorthi, Y. L. R. (2017). Technology readiness, perceived ubiquity and M-commerce adoption: The moderating role of privacy. Journal of Research in Interactive Marketing, 11(3), 268–295. https://doi.org/10.1108/JRIM-01-2016-0005

  • Ruangkanjanases, A., & Wongprasopchai, S. (2018). Adoption of mobile banking services: An empirical examination between Gen Y and Gen Z in Thailand. International Journal of Organizational Business Excellence, 1(1), 1 – 12. https://doi.org/10.21512/ijobex.v1i1.7156

  • Salimon, M. G., Sanuri, S. M., & Yusr, M. M. (2020). E-banking as a financial supply chain system: Can e-TAM improve trust and the rate of adoption? International Journal of Supply Chain Management, 9(2), 216 – 226. http://excelingtech.co.uk/

  • Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce . International Journal of Information Management , 5 0 , 2 8 6 – 3 0 1 . https://doi.org/10.1016/j.ijinfomgt.2019.08.008

  • Singh, S., & Srivastava, R. K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357–378. https://doi.org/10.1108/IJBM-12-2016-0186

  • Siyal, A. W., Ding, D., & Siyal, S. (2019). M-banking barriers in Pakistan : A customer perspective of adoption and continuity intention. Data Technologies and Applications, 53(1), 58–84. https://doi.org/10.1108/DTA-04-2018-0022

  • Sreelakshmi, C.C.,& Prathap, S. K. (2020). Continuance adoption of mobile-based payments in Covid-19 context : An integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, 16(4),351–369. https://doi.org/10.1108/IJPCC-06-2020-0069

  • Suurmond, R., Van Rhee, H., & Hak, T. (2017). Introduction, comparison, and validation of Meta-Essentials: A free and simple tool for meta-analysis. Research Synthesis Method, 8(4) ,537–553 . https://doi.org/10.1002/jrsm.1260

  • Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/IntR-12-2012-0244

  • Tran, H. T., & Corner, J. (2016). The impact of communication channels on mobile banking adoption. International Journal of Bank Marketing, 34(1), 78–109. https://doi.org/10.1108/IJBM-06-2014-0073

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186 – 204. https://doi.org/10.1287/mnsc.46.2.186.11926

  • Wessels, L., & Drennan, J. (2010). An investigation of consumer acceptance of M-banking. International Journal of Bank Marketing, 28(7), 547 – 568. https://doi.org/10.1108/02652321011085194

  • Wu, J., Liu, L., & Huang, L. (2017). Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages. Industrial Management & Data Systems, 117(8), 1761–1776. https://doi.org/10.1108/IMDS-08-2016-0312

  • Wu, K., Zhao, Y., Zhu, Q., Tan, X., & Zheng, H. (2011). A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type. International Journal of Information Management, 31(6), 572–581. https://doi.org/10.1016/j.ijinfomgt.2011.03.004

  • Yadav, R., Sharma, S. K., & Tarhini, A. (2016). A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of Enterprise Information Management , 29(2), 222–237. https://doi.org/10.1108/JEIM-04-2015-0034

  • Yang, A. S. (2009). Exploring adoption difficulties in mobile banking services. Canadian Journal of Administrative Sciences, 26(2), 136 – 149. https://doi.org/10.1002/cjas.102

  • Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 21(5), 527–540. https://doi.org/10.1108/10662241111176353


Abstract Views: 250

PDF Views: 3




  • Digital Banking : A Meta-Analysis Approach

Abstract Views: 250  |  PDF Views: 3

Authors

Suneet Sharma
GD Goenka University, Sohna - Gurgaon Road, Sohna - 122 001, Haryana, India
Ritu Sharma
SOIL Institute, Bhagwan Mahaveer Marg, Sector 44, Gurugram - 122 003, Haryana, India
Ghadeer Kayal
Prince Mohammad Bin Fahd University, 617, Al Jawharah, Khobar, Dhahran 34754, Saudi Arabia
Jaspreet Kaur
Pearl Academy, A-21/13, Naraina Industrial Area, Phase II, Near Shadipur Metro Station, New Delhi - 110 028, India

Abstract


This research paper attempted to study the behavioral intention adoption of prominent digital banking channels, such as mobile banking and wallets and online and telephone banking, in an international scenario. The behavioral intention adoption of mobile banking was studied through seven bivariate relationships: perceived usefulness, perceived ease of use, facilitating conditions, perceived security, cost, self-efficacy, and innovativeness in a global context, which have had a profound impact on the desire of people to adopt digital banking channels. The seven bivariate relationships were analyzed through a meta-analysis approach in a universal framework. The main findings were that location is a major contributor to heterogeneity in a comprehensive global framework. The main managerial implications of the paper are that the universal adoption of digital banking adoption is being significantly affected by location, and global strategists should, therefore, keep this constraint in mind while framing international policies and launching new digital products. Such products must appeal to the location to be successful. An important social link that the current research highlighted was that location has vital linkages with other social factors such as religion, caste, race, color, income, gender, education, family size, buying habits, and wealth, which need to be explored in detail for a better examination of the successful adoption of digital banking channels.

Keywords


perceived use, perceived ease of use, innovativeness, facilitating conditions, perceived security, cost, self-efficacy.

References





DOI: https://doi.org/10.17010/ijom%2F2022%2Fv52%2Fi5%2F169416