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Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Delving into the intricate web of factors that shape the digital lending behavior of individuals : A profound understanding of the Indian landscape

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pp. 1501–1518Vol. 45Issue 6September 2024DOI: 10.47974/JIOS-1629XML
Received:
10 Apr 2024
Published Online:
30 Sep 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1629
Pages:
1501–1518

Abstract

The sheer number of Indian young adults using digital lending platforms to satisfy their expanding consumption needs has increased significantly. It undoubtedly expands consumer markets, but it has also given rise to several significant social issues. The legal supervision of digital lending and the authentication process have been thoroughly studied in the past, with a focus on the legal and economic aspects. A few scholars have also looked at the variables from the standpoint of behavioral psychology that affect people’s digital lending. This study develops a theoretical framework that explains how people construct their online consumer credit by utilizing the Triandis model and prior research on online lending. Afterwards, SmartPLS 3.00 is used to analyze the dataset, which includes 302 respondents in total. This study found that people’s perceived consequences, emotions, social variables, and enabling environments all had a significant impact on their online consumer credit. The study’s conclusions have important ramifications for both political and practical settings. They may be extremely important in promoting appropriate spending practices among India’s youth and ensuring the long-term expansion of online consumer credit. This study also helps digital lending companies improve their offerings and build better relationships with the general population.

Keywords

Digital lendingIndiaTriandis modelBehaviourPLS analysis

Subject Classifications

35Q9162P15

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