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THE ROLE OF EFFECTIVE FACTORS IN UTAUT MODEL ON BEHAVIORAL INTENTION

Authors: Richa N. Agarwal;

THE ROLE OF EFFECTIVE FACTORS IN UTAUT MODEL ON BEHAVIORAL INTENTION

Abstract

Digital transactions are growing globally. India has embarked on this journey but still lags behind, in comparison to other countries. The paper attempts to find factors which affect behavioral intention among small merchants for adopting technology. Small merchants in unorganized sector are an important part of Indian business framework. The paper is a deductive research wherein it makes UTAUT model its base and adapts to the Indian context. The paper tests models and hypotheses with the help of Structural Equation Modelling (SEM). Few variables like performance expectancy, effort expectancy and habit were found to have an effect on intention to adopt cashless method; surprisingly factors profound to Indian consumers such as trust, perceived value and social influence were not found to have an effect on behavioral intension. The study is useful for the digital payment service providers, telecom companies, small merchants, Government and society. It also proposes strategic initiatives to boost digital transactions. It is unique as the survey is in the unorganized sector.

Subjects by Vocabulary

Microsoft Academic Graph classification: Expectancy theory Government business.industry media_common.quotation_subject Strategic Initiative Intension Context (language use) Payment Structural equation modeling Payment service provider Marketing business media_common

Library of Congress Subject Headings: lcsh:Management. Industrial management lcsh:Business lcsh:HD28-70 lcsh:HF5001-6182

Keywords

india, payments, digitalization, cashless economy, General Earth and Planetary Sciences, digital methods, General Environmental Science

90 references, page 1 of 9

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. The leadership quarterly, 21(6), 1086-1120. [OpenAIRE]

Bandyopadhyay, K., & Fraccastoro, K. A. (2007). The effect of culture on user acceptance of information technology. Communications of the Association for Information Systems, 19(1), 23. [OpenAIRE]

Bansal, S., Bruno, P., Denecker, O., Goparaju, M. and Niederkorn, M. (2018). Global payments 2018: A dynamic industry continues to break new ground. Retrieved from: Mckinsey.com:https://www.mckinsey.com/~/media/McKinsey/Industries/Financial%20Services/Our % (accessed on 10 October 2019).

Barbosa, R. C. O. and Zilber, M. A. (2013). As características competitivas que impactam a adoc ̧ão de inovac ̧ão: um estudo sobre sistemas de pagamentos móveis. Revista de Administra ̧cão e Inova ̧cão, 10, 3, 89-114.

Bauernhansl, T., Hompel, T.H. and Birgit,V.H. (2014). Industrie 4.0 in Produktion, Automatisierung und Logistik. Wiesbaden: Springer Vieweg

Baumgartner, H. and Homburg, C. (1996). Applications of Structural Equation Modelling in Marketing and Consumer Research: a review. International Journal of Research in Marketing, 13(2),139-161.

Bolt, W, Humphrey ,D.& Uittenbogaard,R.( 2008).Transaction Pricing and the Adoption of Electronic Payments: A Cross-Country Comparison. International Journal of Central Banking, vol. 4(1), pages 89-123, March. [OpenAIRE]

Bolt,W.,Humphrey, D. & Uittenbogaard, R. (2005). The Effect of Transaction Pricing on the Adoption of Electronic Payments: A Cross-Country Comparison. SSRN Electronic Journal. 10.2139/ssrn.871102. [OpenAIRE]

Borcuch, A. (2011). Bankowość elektroniczna w Polsce (Electronic Banking in Poland). CeDeWu, Warszawa.

Bunea, O. I., Popescu, R. I., & Zamfir, A. I. (2019). Social Media As A Component Of The Value Chain To Gain Competitive Advantage In Sales. In Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE (Vol. 13, No. 1, pp. 702-710). Faculty of Management, Academy of Economic Studies, Bucharest, Romania.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
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