Vision: The Journal of Business Perspective

Bhattacharya, Saurabh; Singla, Babita

doi: 10.1177/09722629261457759pmid: N/A

Purpose:This research highlights how behavioural, demographic and perceptual aspects affect bottom of the pyramid (BoP) customers’ intentions to use digital banking services in India. To comprehend how constructs such as perceived usefulness, ease of use, behavioural control, trust, risk perception and fees/charges shape attitudes and eventually determine digital banking adoption intention within economically underprivileged banking consumers is the main objective of this study. It acknowledges the critical value that digital financial inclusion has in promoting the use for those who have low incomes.Methodology:The research follows an analytical structure that is based on a quantitative research methodology and structural equation modelling. To collect accurate data, standardized questionnaires were given to an accurate representation of 504 BoP customers from different parts of India. A 5-point Likert scale was applied to test 34 items that covered 8 important variables connected to adopting digital banking. The constructs’ resilience was significantly checked by thorough validity and reliability testing, which covers exploratory factor analysis and confirmatory factor analysis. Perceived usefulness (PU), perceived ease of use (PEOU), perceived behavioural control (PBC), perceived risk (PR), perceived trust (PT), fees/charges (FC), attitude towards digital banking (ATDB) and intention to adopt digital banking were all assessed directly and through mediation by the hypothesis testing conducted within the SEM framework.Findings:The study’s findings indicated that each of the seven proposed hypotheses is positive and statistically significant. In particular, ATDB are significantly improved by PU (β = 0.183, p < .001), PBC (β = 0.157, p = .004), PEOU (β = 0.198, p < .001), PR (β = 0.162, p = .002), FC (β = 0.122, p < .001) and PT (β = 0.175, p < .001). Among BoP users, this positive attitude significantly predicts their propensity to utilize digital banking (β = 0.543, p < .001). However, although PR usually prevents adoption, the positive effect found indicates that BoP consumers have a positive ATDB when problems are seen as controllable or exceeded by benefits, with adequate transparency and trust. The framework used has an outstanding goodness-of-fit indices (CMINdf = 1.737, RMSEA = 0.038, CFI = 0.961) which highlight the findings’ validity and dependability.Originality:This research is focused on India’s BoP customers, who are among the most economically disadvantaged and technologically disadvantaged consumers, in contrast to the majority of earlier studies that focus on modern cities or higher-income consumers. The research improves the knowledge of digital banking adoption among low-income consumers by combining several behavioural, demographic and perceptual aspects into a strong SEM framework and validating extensive scales with good reliability (Cronbach’s α > 0.75 across constructs). Conventional assumptions are further challenged by the positive correlation between PR and attitude, pointing to complex dynamics in the relationship between risk and trust for BoP consumers. This unique addition speeds up the adoption of digital banking in lower-middle income nations by offering a useful scholarly and academic guide.

Sharma, Pooja; Bhasin, Jaya; Ali, Asif

doi: 10.1177/09722629261454743pmid: N/A

The proposition that ‘human beings are egocentric by nature’ has long been a subject of contention. Some scholars posit that humans possess an innate self-centredness, prioritizing their own needs and desires above all else, while others assert that humans harbour the capacity for empathy and compassion towards fellow beings. The divergent perspectives within this discourse, coupled with a heterogeneous body of literature, have necessitated the conceptualization of a nuanced and growth-oriented paradigm known as the ‘quiet ego’. This article presents a comprehensive bibliometric analysis of 210 documents sourced from the Scopus database to elucidate the developmental trajectory of research in the quiet ego domain. The findings reveal a substantial escalation in research output from 2007 to 2022. Using VOSviewer and RStudio’s Biblioshiny tool, this study delineates publication trends and assesses contributions in terms of authorship, journal outlets, institutional affiliations and geographical distribution. Moreover, network analysis techniques are employed to elucidate keyword co-occurrences and collaboration networks among researchers. Thematic evolution and content analysis are employed to identify prevalent topics and themes within the field. Lastly, the article addresses research lacunae and methodological constraints and outlines avenues for future inquiry in the realm of quiet ego research.

Kuriakose, Moncy; Johnson, Johney

doi: 10.1177/09722629261435326pmid: N/A

Purpose:Small finance banks (SFBs) are one of the major initiatives by the Reserve Bank of India to solve bank service challenges to underserved customers in India. This research seeks to establish the pattern of bank service adoption and usage by customers in SFBs in Kerala. The main focus of this research is the assessment of the quality of service and customer satisfaction in SFBs and the analysis of their impact on the sustained patronage of these banks by customers.Design/Methodology/Approach:This study used a quantitative research approach and a descriptive research design. Four hundred fifty responses were collected through a purposive sampling method. In order to carry out data collection, the entire state of Kerala was divided into three regions: North, Central and South. On the basis of branch location and branch size of SFBs, the following regions were selected for data collection: Kozhikode, representing the north region; Ernakulam, representing the central region; and Thiruvananthapuram, representing the south region.Findings and Managerial Implications:The service quality of SFBs was assessed by using the measurement model ‘SERVPERF’. The findings of the current study indicate that the mean percentage score of the service quality of SFBs in Kerala is 82.96%, which indicates that the service quality of SFBs in Kerala is excellent. Overall, the customers’ adoption and usage of SFB deposit services are good, but the loans availed by the customers are average, while investment and insurance products availed are low. The regression analysis indicated that the SFB’ service quality substantially determines the level of satisfaction among the customers. It further indicated that customer satisfaction strongly determines their intentions in patronizing SFBs.Originality/Value:This study aims to present a general overview of the effect of SFBs’ service quality on customer satisfaction and patronage intentions. The research can add substantially to the body of knowledge by evaluating the effect of service quality on customer satisfaction in Kerala’s SFBs. It will benefit academic researchers and offer practitioner-directed findings for bank administrators, policymakers and other financial stakeholders.

Jena, Labanya Prakash

doi: 10.1177/09722629261422071pmid: N/A

The research on ‘climate-related financial risks’, still in its infancy, is gaining momentum as businesses and investors are becoming increasingly aware of the heightened risks posed by climate change and the importance of environmentally sustainable activities. The present study brings out a synthesis of the literature on climate risk in the financial sector for the period ranging from 2010 to 2023. Using bibliometric tools such as citation, co-citation, keyword co-occurrence analysis and other network analysis, the study aims to examine the trend of the research domain; influential aspects (sources, affiliations, articles and topics); prominent themes; intellectual and conceptual structures; and collaboration among researchers, universities and countries. The study enhances the understanding of ‘climate-related financial risks’, aiding policymakers, regulators and future researchers in incorporating various elements of the financial system while assessing the impact of climate change on financial stability.

Dangi, Vandana

doi: 10.1177/09722629261440649pmid: N/A

Discerning the dynamic interconnectedness symphony between Bitcoin’s spot and derivative markets in its embryonic contemporary landscape is imperative for unveiling the potential opportunities for arbitrage and hedging. So, this article is an attempt to explore the interconnectedness dynamics between spot market and derivative markets of Bitcoin, covering the period from January 2018 to May 2024 using conventional measures (Johansen’s cointegration test, VECM and Wald’s block-exogeneity test) and evolved measures (DCC model and wavelet coherence). Their empirical estimates discern significant long-term insistence and spillover effects between spot and derivative markets, significant one-way enduring causality from derivative market to spot market and significant two-way brief period causality from spot market to derivative market and from derivative market to spot market. These pieces of evidence of significant dynamic interconnectedness between the Bitcoin’s spot and derivative markets undermine the potential of arbitrage opportunities while affirming the hedge prospectus with more pronounced leading effect in its derivative market over the long term.

Grover, Naina; Aggarwal, Priti

doi: 10.1177/09722629261447972pmid: N/A

This article examines whether fintech adoption impacts income diversification among the Indian commercial banks. It also checks whether this impact differs by ownership type—public or private—and whether the relationship is impacted by COVID-19. We use a balanced panel of 30 banks from 2016 to 2022. The empirical results suggest that fintech adoption improves income diversification in private sector banks. However, we did not find such impact for public sector banks. The probable reasons are that private banks have better organizational responsiveness, regulatory flexibility and cost efficiency. The article shows that fintech impacts public and private banks differently. Our results also suggest that the COVID-19 pandemic did not change the diversification patterns. This finding signals the presence of structural factors. Our results have implications for both policymakers and banking sectors. We suggest targeted regulatory reforms and capacity-building measures to facilitate fintech adoption in public sector banks. These findings give insights for policymakers and bank managers driving the digital transformation initiatives in other emerging markets.

Yadav, Mamta; Dahiya, Suman

doi: 10.1177/09722629261449642pmid: N/A

This study aims to examine the association between green banking practices and the operational efficiency of banks. Green banking practices are measured through the green banking index, which is prepared by applying the content analysis technique. To measure the operational efficiency of banks, the two-stage network data envelopment analysis model is applied. Data are taken for 22 Indian banks for a period of 5 years ranging from 2021 to 2025. To achieve the objective of this study, panel data models and two-step system GMM are applied. The empirical findings of this study reveal that green banking practices positively influence banks’ operational efficiency. Green finance, green operations, green policy and green awareness are the subindices, and all these also positively affect the operational efficiency of banks. Based on the results, recommendations are provided to policymakers, bank managers and regulatory authorities. Green banking practices can facilitate sustainable development by ensuring the direction of funds towards eco-friendly projects.

Alam, Md Rahber; Aziz, Tariq

doi: 10.1177/09722629251408934pmid: N/A

This systematic investigation, accompanied by bibliometric analysis, aims to present both quantitative and qualitative insights into the rapidly developing field of behavioural finance, which has lacked comprehensive summaries in existing literature. The study analyses production and visualizes trends in 681 Scopus-indexed peer-reviewed journal articles from 2000 to 2024 on time preference. We employ citation networks, co-occurrence analysis, content analysis and co-citation analysis, as well as examination of publication trends, to uncover influential works, construct the theoretical framework of our field of study and identify research gaps, utilizing the VOSviewer tool. For mapping to conceptual, thematic and intellectual frameworks present in 203 published articles in A*, A and B categories in the ABDC 2022 ranking list of top journals, contextualized systematic review and bibliometric techniques are employed. In 2021, Stanford University led in productivity with 32 publications, while Durham University ranked high with 623 citations. The United States dominated with 77 publications and 4,309 citations in time preference research in finance. Frederick and Shane emerged as the most impactful authors, with 3,520 citations, while Charles Sprenger led in publications. The Journal of Economic Literature and the American Economic Review were top journals. Notable works include Frederick et al. (2002, Journal of Economic Literature, 40(2), 351–401), which has 3,468 citations. Overall, this analysis identifies key institutions, authors, journals and articles that shape the landscape of time preference research in finance, highlighting significant contributions and influential figures. The document offers a synopsis of the present state of the investigation in the time preference literature in finance and recommendations for future areas of study.

Prabhakar, Tushar; Singh, Tejinderpal; Kaur, Navdeep

doi: 10.1177/09722629261432806pmid: N/A

This study examined consumers’ luxury fashion counterfeit (LFC) consumption behaviour in an emerging economy using the modified and extended version of the theory of planned behaviour (TPB). The modifications included adding causal paths linking subjective norm to both attitude and perceived behavioural control, while the extensions involved introducing ethical concern and past LFC purchase experience as additional predictors of purchase intention of LFCs. Data were collected from 373 respondents, recruited using the snowball sampling technique, and were subsequently analysed using structural equation modelling. The analysis revealed that attitude towards purchasing LFCs and subjective norm positively predicted purchase intention of LFCs. Further, both the modifications were empirically validated as subjective norm positively influenced both attitude towards purchasing LFCs and perceived behavioural control. Support was found for both the additions too, as ethical concern and past LFC purchase experience were significantly related to purchase intention of LFCs. Finally, attitude towards purchasing LFCs mediated subjective norm’s effect on purchase intention of LFCs. By leveraging the modified and extended TPB to understand consumers’ LFC consumption behaviour, this study generates deeper insights into the phenomenon and enhances the predictive validity of TPB. The findings can also be used by luxury fashion brand managers to inform their anti-counterfeiting strategies.

Singh, Rashmi; Bhattacharya, Subhajit

doi: 10.1177/09722629261438546pmid: N/A

Retail brands have increasingly adopted self-service options to enhance customer attention and engagement. This study builds on that trend by introducing the concept of customers’ self-service delight (SSD). Across six stages of research, the present study develops and tests a typology of customers’ SSD, which is conceptualized as an intrinsic hedonic motivation to serve oneself while making a purchase. The scale development process comprises six stages: two qualitative processes (focus groups and open-ended survey), an expert opinion analysis, exploratory data analysis and validation studies. Data were collected from active users of self-service technologies in different stages following a mixed research design approach. Various statistical techniques were used, such as exploratory and confirmatory factor analyses, regression analysis and structural equation modelling. The study identifies nine unique SSD dimensions and their items, and finally checks the scale’s predictive power to measure SSD within the offline retail context. Several theoretical and decisive implications have also been discussed based on multiple SSD dimensions. Researchers and policymakers can now rely on diverse SSD measures that best fit their context. At the same time, the former also get some insights into future research directions.