Preview

Финансы: теория и практика/Finance: Theory and Practice

Расширенный поиск

Аспекты качества мобильного банкинга — банки государственного и частного секторов в Индии

https://doi.org/10.26794/2587-5671-2025-29-2-107-119

Аннотация

В ответ на усиление глобальной конкуренции в банковской отрасли финансовые учреждения старательно изучают возможности внедрения новых банковских технологий для повышения качества банковской инфраструктуры и обслуживания клиентов, чтобы удержать потребителей в долгосрочной перспективе. Целью данного исследования является оценка качественных аспектов (качество информации и качество услуг) мобильного банкинга на воспринимаемую удовлетворенность и сарафанное радио, а также вариации в предлагаемых отношениях между государственными и частными банками Индии. Методология исследования: для сбора данных был проведен опрос 230 пользователей мобильного банкинга с использованием метода случайной выборки. Для анализа мы использовали моделирование структурных уравнений с частичным наименьшим квадратом с помощью Smart PLS 4.0. Результат показывает, что на воспринимаемую удовлетворенность существенно влияет качество обслуживания, а также положительно значимое влияние воспринимаемой удовлетворенности на сарафанное радио, что свидетельствует о важности параметров качества при использовании m-banking, в то время как качество информации оказало незначительное влияние на воспринимаемую удовлетворенность. Различия свидетельствуют о том, что влияние качества обслуживания на воспринимаемую удовлетворенность сильнее в банках государственного сектора, чем в банках частного сектора. Результаты исследования помогут повысить уровень удержания потребителей услуг интернет-банкинга и определить потребительские предпочтения в различных секторах банков.

Об авторах

М. Н. Коти
Университет Амити
Индия

Мамта Нагар Коти — PhD в области коммерции, научный сотрудник Колледжа коммерции и финансов Амити

Нойда, Уттар-Прадеш

 



П. Верма
Университет Амити
Индия

Пранай Верма — PhD, профессор, Международная школа бизнеса Amity



Н. Сингх
Институт менеджмента Джайпурии
Индия

Нидхи Сингх — PhD, доцент, заместитель декана по исследованиям

Нойда



Список литературы

1. Jun M., Palacios S. Examining the key dimensions of mobile banking service quality: an exploratory study. International Journal of Bank Marketing. 2016;34(3):307-326. DOI: 10.1108/IJBM-01-2015-0015

2. AL-Zu’bi K., Al-Gasawneh J. An integrated model of mobile banking service quality and customers’ satisfaction: Evidence from Jordanian mobile banking users. International Journal of Data and Network Science. 2022;6(4):1609-1918. DOI: 10.5267/j.ijdns.2022.4.017

3. Chaouali W., Souiden N., Ladhari R. Explaining adoption of mobile banking with the theory of trying, general self-confidence, and cynicism. Journal of Retailing and Consumer Services. 2017;35:57-67. DOI: 10.1016/j.jretconser.2016.11.009

4. Tam C., Oliveira T. Understanding the impact of M-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior. 2016;61:233-244. DOI: 10.1016/j.chb.2016.03.016

5. Arcand M., Prom Tep S., Brun I., Rajaobelina L. Mobile banking service quality and customer relationships. International Journal of Bank Marketing. 2017;35(7):1068-1089. DOI: 10.1108/IJBM-10-2015-0150

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

7. Rajaobelina L., Prom Tep S., Arcand M., Ricard L. The relationship of brand attachment and mobile banking service quality with positive word-of-mouth. Journal of Product & Brand Management. 2021;30(8):1162-1175. DOI: 10.1108/JPBM-02-2020-2747

8. Al Tarawneh M. M., Nguyen T. P., Yong D. G., Dorasamy M. A. Determinant of M-banking usage and adoption among millennials. Sustainability. 2023;15(10):8216. DOI: 10.3390/su15108216

9. Baabdullah A. M., Alalwan A. A., Rana N. P., Kizgin H., Patil P. Consumer use of mobile banking (M-banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management. 2019;44:38-52. DOI: 10.1016/j.ijinfomgt.2018.09.002

10. Singu H. B., Chakraborty D. I have the bank in my pocket: Theoretical evidence and perspectives. Journal of Public Affairs. 2022;22(3): e2568. DOI: 10.1002/pa.2568

11. Singh S., Srivastava R. K. Understanding the intention to use mobile banking by existing online banking customers: An empirical study. Journal of Financial Services Marketing. 2020;25(3-4):86-96. DOI: 10.1057/s41264-020-00074-w

12. Tam C., Oliveira T. Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research. 2017;27(3):538-562. DOI: 10.1108/IntR-05-2016-0117

13. Sharma S. K., Sharma M. Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management. 2019;44:65-75. DOI: 10.1016/j.ijinfomgt.2018.09.013

14. Geebren A., Jabbar A., Luo M. Examining the role of consumer satisfaction within mobile eco-systems: Evidence from mobile banking services. Computers in Human Behavior. 2021;114:106584. DOI: 10.1016/j.chb.2020.106584

15. Kim S., Lee J., Yoon S.-H., Kim H.-W. How can we achieve better e-Learning success in the new normal? Internet Research. 2023;33(1):410-441. DOI: 10.1108/INTR-05-2021-0310

16. Li T. Applying the IS success model to mobile banking apps. Master degree theses. Lethbridge: University of Lethbridge; 2014. 168 p. URL: https://opus.uleth.ca/server/api/core/bitstreams/91a5a566-0f58-4762-a76a-a1fb099b4296/content

17. Urbach N., Ahlemann F. Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application (JITTA). 2010;11(2):2. URL: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1247&context=jitta

18. Motiwalla L. F., Albashrawi M., Kartal H. B. Uncovering unobserved heterogeneity bias: Measuring mobile banking system success. International Journal of Information Management. 2019;49:439-451. DOI: 10.1016/j.ijinfomgt.2019.07.005

19. DeLone W.H., McLean E. R. Information systems success: The quest for the dependent variable. Information Systems Research. 1992;3(1):60-95. DOI: 10.1287/isre.3.1.60

20. DeLone W.H., McLean E. R. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems. 2003;19(4):9-30. DOI: 10.1080/07421222.2003.11045748

21. Jalilvand M. R., Samiei N. The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TPB). Internet Research. 2012;22(5):591-612. DOI: 10.1108/10662241211271563

22. Al-Gasawneh J.A., Al Khoja B., Al-Qeed M.A., Nusairat N. M., Hammouri Q., Anuar M. M. Mobile-customer relationship management and its effect on post-purchase behavior: The moderating of perceived ease of use and perceived usefulness. International Journal of Data and Network Science. 2022;6(2):439-448. DOI: 10.5267/j.ijdns.2021.12.010

23. Mostafa R. B. Mobile banking service quality: A new avenue for customer value co-creation. International Journal of Bank Marketing. 2020;38(5):1107-1132. DOI: 10.1108/IJBM-11-2019-0421

24. Kant R., Jaiswal D. The impact of perceived service quality dimensions on customer satisfaction: An empirical study on public sector banks in India. International Journal of Bank Marketing. 2017;35(3):411-430. DOI: 10.1108/IJBM-04-2016-0051

25. Khan A. G., Lima R. P., Mahmud M. S. Understanding the service quality and customer satisfaction of mobile banking in Bangladesh: Using a structural equation model. Global Business Review. 2021;22(1):85-100. DOI: 10.1177/0972150918795551

26. Paul J., Mittal A., Srivastav G. Impact of service quality on customer satisfaction in private and public sector banks. International Journal of Bank Marketing. 2016;34(5):606-622. DOI: 10.1108/IJBM-03-2015-0030

27. Poromatikul C., De Maeyer P., Leelapanyalert K., Zaby S. Drivers of continuance intention with mobile banking apps. International Journal of Bank Marketing. 2020;38(1):242-262. DOI: 10.1108/IJBM-08-2018-0224

28. Purwati A. A., Mustafa Z., Deli M. M. Management information system in evaluation of BCA mobile banking using DeLone and McLean model. Journal of Applied Engineering and Technological Science (JAETS). 2021;2(2):70-77. DOI: 10.37385/jaets.v2i2.217

29. Petter S., DeLone W., McLean E. R. Information systems success: The quest for the independent variables. Journal of Management Information Systems. 2013;29(4):7-62. DOI: 10.2753/MIS0742-1222290401

30. Sharma S. K., Gaur A., Saddikuti V., Rastogi A. Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems. Behaviour & Information Technology. 2017;36(10):1053-1066. DOI: 10.1080/0144929X.2017.1340973

31. Akter S., D’Ambra J., Ray P. Development and validation of an instrument to measure user perceived service quality of mHealth. Information & Management. 2013;50(4):181-195. DOI: 10.1016/j.im.2013.03.001

32. Oliveira T., Faria M., Thomas M. A., Popovic A. Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management. 2014;34(5):689-703. DOI: 10.1016/j.ijinfomgt.2014.06.004

33. Chetioui Y., Lebdaoui H., Hafid N. Mobile banking usage in the postpandemic era: Demystifying the disparities among divergent user segments in a majority-Muslim country. Journal of Islamic Marketing. 2023;14(12):3053- 3084. DOI: 10.n08/JIMA-08-2022-0232

34. Azizah Q. N., Hidayat T., Riana D., et al. Understanding impact of M-banking on individual performance of the DeLone & McLean method and TTF perspective. Journal of Physics: Conference Series. 2020;1641:012009. DOI: 10.1088/1742-6596/1641/1/012009

35. Trabelsi-Zoghlami A., Berraies S., Ben Yahia K. Service quality in a mobile-banking-applications context: Do users’ age and gender matter? Total Quality Management & Business Excellence. 2020;31(15-16):1639-1668. DOI: 10.1080/14783363.2018.1492874

36. Brown T. J., Barry T. E., Dacin P. A., Gunst R. F. Spreading the word: Investigating antecedents of consumers’ positive word-of-mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science. 2005;33(2):123-138. DOI: 10.1177/0092070304268417

37. Mehrad D., Mohammadi S. Word of mouth impact on the adoption of mobile banking in Iran. Telematics and Informatics. 2017;34(7):1351-1363. DOI: 10.1016/j.tele.2016.08.009

38. Zalloum L., Alghadeer H., Nusairat N. The effect of using mobile banking services applications on electronic word of mouth: The mediating role of perceived trust. International Business Research. 2019;12(9):62-80. DOI: 10.5539/ibr.v12n9p62

39. Adholiya A., Dave P., Adholiya S. Determinants of customer satisfaction for mobile banking services-an empirical evidence from public and private sector banks at Udaipur, Rajasthan. International Journal of Applied Services Marketing Perspectives. 2012;1(1):1-6.

40. Hair J. F., Risher J. J., Sarstedt M., Ringle C. M. When to use and how to report the results of PLS-SEM. European Business Review. 2019;31(1):2-24. DOI: 10.1108/EBR-11-2018-0203

41. Parasuraman A., Zeithaml V. A., Malhotra A. E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research. 2005;7(3):213-233. DOI: 10.1177/1094670504271156

42. Anderson E. W., Sullivan M. W. The antecedents and consequences of customer satisfaction for firms. Marketing Science. 1993;12(2):125-143. DOI: 10.1287/mksc.12.2.125

43. Parasuraman A. B., Zeithaml V. A., Berry L. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing. 1988;64(1):12-40.

44. Ringle C. M., Wende S., Will A. SmartPLS 2.0 M3. Computer software. 2005.

45. Madan K., Yadav R. Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research. 2016;8(3):227-244. DOI: 10.1108/JIBR-10-2015-0112

46. Kock N., Lynn G. S. Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for information Systems. 2012;13(7). DOI: 10.17705/1jais.00302

47. Kock N. Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration. 2015;11(4):1-10. DOI: 10.4018/ijec.2015100101

48. Fornell C., Larcker D. F. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research. 1981;18(3):382-388. DOI: 10.1177/002224378101800313

49. Henseler J., Ringle C. M., Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science. 2015;43(1):115-135. DOI: 10.1007/s11747-014-0403-8

50. Hair J. F., Jr., Sarstedt M., Ringle C. M., Gudergan S. P. Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: SAGE Publications, Inc.; 2017. 272 p.

51. Ozili P. K. The acceptable R-square in empirical modelling for social science research. In: Social research methodology and publishing results: A guide to non-native English speakers. Hershey, PA: IGI Global; 2023:134-143. DOI: 10.4018/978-1-6684-6859-3.ch009

52. Henseler J., Ringle C. M., Sarstedt M. Testing measurement invariance of composites using partial least squares. International Marketing Review. 2016;33(3):405-431. DOI: 10.1108/IMR-09-2014-0304

53. Kumar V. R., Lall A., Mane T. Extending the TAM model: Intention of management students to use mobile banking: Evidence from India. Global Business Review. 2017;18(1):238-249. DOI: 10.1177/0972150916666991

54. Chung N., Kwon S.-J. The effects of customers’ mobile experience and technical support on the intention to use mobile banking. Cyberpsychology & Behavior. 2009;12(5):539-543. DOI: 10.1089/cpb.2009.0014

55. De Leon M.V., Atienza R. P., Susilo D. Influence of self-service technology (SST) service quality dimensions as a second-order factor on perceived value and customer satisfaction in a mobile banking application. Cogent Business & Management. 2020;7(1):1794241. DOI: 10.1080/23311975.2020.1794241

56. Al-Eisa A.S., Alhemoud A. M. Using a multiple-attribute approach for measuring customer satisfaction with retail banking services in Kuwait. International Journal of Bank Marketing. 2009;27(4):294-314. DOI: 10.1108/02652320910968368

57. Aghdaie S. A., Faghani F. Mobile banking service quality and customer satisfaction (application of SERVQUAL model). International Journal of Management and Business Research. 2012;2(4):351-361.

58. Bhattacherjee A. Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly. 2001;25(3):351-370. DOI: 10.2307/3250921

59. Atsmon Y., Kuentz J. F., Seong J. Building brands in emerging markets. McKinsey Quarterly. 2012;(4):50-57.


Рецензия

Для цитирования:


Коти М.Н., Верма П., Сингх Н. Аспекты качества мобильного банкинга — банки государственного и частного секторов в Индии. Финансы: теория и практика/Finance: Theory and Practice. 2025;29(2):107-119. https://doi.org/10.26794/2587-5671-2025-29-2-107-119

For citation:


Koti M.N., Verma P., Singh N. Quality Aspects of Mobile Banking - Public and Private Sector Banks in India. Finance: Theory and Practice. 2025;29(2):107-119. https://doi.org/10.26794/2587-5671-2025-29-2-107-119

Просмотров: 115


Creative Commons License
Контент доступен под лицензией Creative Commons Attribution 4.0 License.


ISSN 2587-5671 (Print)
ISSN 2587-7089 (Online)