FinTech Adoption of Financial Services Industry: Exploring the Impact of Creative and Innovative Leadership
Muzamil Ahmad Baba (),
Zia ul Haq,
Mohsina Dawood and
Kumar Aashish
Additional contact information
Muzamil Ahmad Baba: School of Marketing, Institute of Public Enterprise, Hyderabad 500101, India
Zia ul Haq: Department of Management Studies, Central University of Kashmir, Ganderbal 191201, India
Mohsina Dawood: Department of Management Studies, Central University of Kashmir, Ganderbal 191201, India
Kumar Aashish: Department of Entrepreneurship, Jaipuria Institute of Management, Noida Campus, Noida 201309, India
JRFM, 2023, vol. 16, issue 10, 1-19
Abstract:
This paper examines the link between creative and innovative leadership and FinTech adoption through the transmission mechanisms of perceived ease of use (PEOU) and perceived usefulness (PU). This study used a questionnaire survey method to collect data from a sample of 721 employees working in the Indian financial services sector. The data were analyzed using structural equation modelling. The study results revealed a significant and positive influence of creative and innovative leadership, PEOU, and PU on FinTech adoption. Moreover, PEOU and PU mediated the link between creative and innovative leadership and FinTech adoption. This study proposes a new vision for managerial procedures to understand the critical aspects regarding FinTech adoption. The study advises that engineering managers should offer simple and user-friendly technology to enhance the adoption rate. Additionally, the results suggest the importance of creative and innovative leadership for competitively exploiting novel technologies. Given India’s digital revolution and huge market potential, the FinTech sector could prove a game-changer, especially in generating employment for the young and technologically qualified population. Tech-driven organizations could use the study findings strategically in this digital era.
Keywords: innovation; leadership; technology adoption; perception; survey data; structural equation modeling (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1911-8074/16/10/453/pdf (application/pdf)
https://www.mdpi.com/1911-8074/16/10/453/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:453-:d:1263962
Access Statistics for this article
JRFM is currently edited by Ms. Chelthy Cheng
More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().