How perceived risk, benefit and trust determine user Fintech adoption: a new dimension for Islamic finance
TL;DR: In this paper, the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech has been explored and the results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors.
Abstract: This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech. The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS. The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech. The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.
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Summary
- This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech.
- Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.
- The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis.
- The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.
- The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors.
- Moreover, perceived benefits showed a positive and significant impact on trust.
- Perceived risk had a negative and significant impact on trust.
- The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.
- The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.
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How perceived risk, benefit and trust determine user Fintech adoption: a new
dimension for Islamic finance
Abstract
This study’s objectives are twofold; first, this paper aims to explore the determinants of
perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the
influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic
Fintech. The sample of 350 was distributed among the respondents, while a usable sample of
321 was retained for the analysis. The study performed a self-administration survey to collect
the sample data while the hypothesized model was tested using SmartPLS. The results
revealed that perceived benefit and perceived risk were significant and positively influenced
by their factors. Moreover, perceived benefits showed a positive and significant impact on
trust. However, perceived risk had a negative and significant impact on trust. The results also
found a strong positive and significant relationship between trust and intention to adopt
Islamic Fintech. The outcome of this research may be used to develop strategies for Fintech
and enables the financial sector to attain economies of scale in the world.
Citations
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TL;DR: In this article , a review of Islamic FinTech research development from 2017 to 2022 is presented, which adopts a hybrid approach combining bibliometric and content analysis to reveal the current research trend of Islamic fintech research.
20 citations
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TL;DR: In this article, a survey of bank consumers in Malaysia between December 2021 and February 2022 yielded 1279 usable questionnaires, randomly selected to generate 400 respondents, and the results revealed that the perceived benefits significantly influence FinTech adoption, whereas perceived risk does not.
Abstract: Industry 4.0 technologies, designed to optimize efficiencies, are indisputable change agents for sustainability. In the context of financial technology (FinTech), the burgeoning question concerns how to create FinTech natives from the COVID-19-pandemic-induced adoption and realize FinTech’s impact on sustainability? Thus, this study had the following purposes: (1) to examine whether perceived benefits and risks affect FinTech services adoption; (2) to test the role of fear of COVID-19 in FinTech adoption; and (3) to investigate whether FinTech adoption contributes to sustainability. The hypotheses derived from the net valence framework, sustainable information society theory, and protection motivation theory were tested using structural equation modeling (SEM). Our online survey of bank consumers in Malaysia between December 2021 and February 2022 yielded 1279 usable questionnaires, randomly selected to generate 400 respondents. The results revealed that: (1) the perceived benefits significantly influence FinTech adoption, whereas perceived risk does not; (2) fear of COVID-19 moderates the perceived benefits–FinTech adoption relationship and fully mediates the perceived risk–FinTech adoption relationship; and (3) FinTech adoption significantly affects sustainability. This study demonstrates that FinTech adoption models must exploit consumer sentiment (e.g., fear) to optimize FinTech’s benefits and risks, thereby creating FinTech natives to realize its impacts on economic, environmental, and social sustainability.
11 citations
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TL;DR: In this paper , the authors assess the opportunities and challenges for different categories of FinTechs in the SAARC and ASEAN regions, and develop a new index, termed the FinTech Opportunity Index (FOI), to conceptualise the opportunity and barriers based on individual savings, borrowings, purchasing behavior, and payment preferences.
Abstract: This article assesses the opportunities and challenges for different categories of FinTechs in the SAARC and ASEAN regions. We consider the global financial inclusion data released by the World Bank and map the responses to gain insights into the opportunities and challenges for FinTechs in the respective regions. We develop a new index, termed the FinTech Opportunity Index (FOI), to conceptualise the opportunities and barriers based on individual savings, borrowings, purchasing behaviour, and payment preferences. We note that FinTech services have potential opportunities for expansion in the ASEAN regions but less so in the SAARC regions. The need for different types of FinTech services varies between regions. Services such as crowdfunding, neobanks, and InsurTech have potential in the ASEAN regions, especially with the positive attitude towards entrepreneurship and asset investments. In the SAARC regions, InsurTechs linked to health care has potential along with LendTechs and neobanks. We further note that males, and the young are more likely adopters of FinTechs in both regions. The analysis suggests the need for innovative promotions and education to motivate the more sceptical, especially women and the elderly population, to adopt FinTech services.
10 citations
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TL;DR: In this article , a study aimed to identify the factors that impact the adoption intention of consumers to embrace and enhance the use of mobile fintech services in an emerging market, Bangladesh.
Abstract: People’s acceptance of technological changes has escalated with time. However, the acceptance and adoption of fintech services hiked after the outbreak of the virulent coronavirus. With this breakout, the adoption of mobile fintech services (MFS) increased among general citizens and business sectors around the world, including in developed, emerging, and developing economies. This study aimed to identify the factors that impact the adoption intention of consumers to embrace and enhance the use of mobile fintech services in an emerging market, Bangladesh. A research model was developed to strengthen the objective of this paper. A total of 218 respondents responded to the questionnaire. The study utilized structural equation modeling to analyze the results in SmartPLS software. The results showed significant positive effects of social influence, trust, perceived benefit, and facilitating conditions on the adoption intention towards MFS. Mobile fintech service providers must keep their users’ needs and literacy rates in mind when designing the user interface (UI). Moreover, they should also cater more efficient services to the users and work based on the feedback received. The customers’ satisfaction will ultimately lead to customers conducting more digital transactions and will contribute to the escalation of fintech transactions, resulting in more financial inclusion.
8 citations
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TL;DR: In this article , the authors employed the systematic literature review (SLR) technique to review recent literature on fintech adoption or acceptance employing the Scopus database (2019-2022).
Abstract: The rise of financial technology (fintech) has been one of the substantial changes in the financial landscape driven by technological advancements and the global financial crisis. This paper employs the systematic literature review (SLR) technique to review recent literature on fintech adoption or acceptance employing the Scopus database (2019–2022). The final reviewed documents are sixteen journal articles published by various journals from different country contexts and theoretical backgrounds. Several inclusion criteria were used to filter those selected documents. One crucial criterion is the journal continuity in the Scopus index, which assures the quality of the published scholarly works. This criterion selection is expected to represent this paper’s novelty. The study reveals various determinants derived from the theories used by the fintech researchers. However, the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) are the most used theoretical foundations. Additionally, trust, financial literacy, and safety are other factors developed by previous researchers and are significant determinants of fintech adoption. Besides, these results suggest that future studies on fintech adoption develop a genuine construct since fintech keeps progressing, and so does the customers’ behavior.
6 citations
References
More filters
••
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Abstract: This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and G...
76,383 citations
••
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...
56,555 citations
••
TL;DR: In this paper, a definition of trust and a model of its antecedents and outcomes are presented, which integrate research from multiple disciplines and differentiate trust from similar constructs, and several research propositions based on the model are presented.
Abstract: Scholars in various disciplines have considered the causes, nature, and effects of trust. Prior approaches to studying trust are considered, including characteristics of the trustor, the trustee, and the role of risk. A definition of trust and a model of its antecedents and outcomes are presented, which integrate research from multiple disciplines and differentiate trust from similar constructs. Several research propositions based on the model are presented.
16,559 citations
•
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TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Abstract: With applications using SmartPLS (www.smartpls.com)—the primary software used in partial least squares structural equation modeling (PLS-SEM)—this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
13,621 citations
••
TL;DR: In this paper, the heterotrait-monotrait ratio of correlations is used to assess discriminant validity in variance-based structural equation modeling. But it does not reliably detect the lack of validity in common research situations.
Abstract: Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.
12,855 citations