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This paper aims to analyse how financial literacy (FL) is conceptualised and operationalised in the Indian context.

A systematic literature review (SLR) was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) protocol. Thirty-six articles published between 2010 and 2020 were considered for analysis. The FL conceptualisation was examined based on knowledge, ability, skill, attitude and confidence elements. The FL operationalisation was analysed using the modified version of the Organisation for Economic Co-operation and Development’s (OECD) Programme for International Student Assessment (PISA) 2012 model for organising the domain for an assessment framework.

The findings indicate that, despite offering operationalisation details of the FL, 13 out of 36 studies did not include a conceptual definition of FL. Of the 23 studies that mentioned a conceptual definition, 87% are primarily focused on the “knowledge” element and only 39% have combined knowledge, ability/skill and attitude elements in defining FL. As in the developed countries, the Indian studies also preferred investment/saving-related contents in their FL measures. The volume of content focusing on the financial landscape is meagre amongst the FL measures used in India and developed countries. The survey instruments of most studies have been designed in the individuals’ context but have failed to measure the extent to which individuals apply the knowledge in performing their day-to-day financial transactions. Further, it was found that 20 out of 36 studies did not convert the FL level of their target groups into a single indicator or operational value.

To the best of our knowledge, this is the first study that explores the FL’s assessment practices in India. Further, this study offers new insights by comparing the contents of FL measures used in Indian studies with those used in developed countries.

The study aims to explore the savings behaviour of Indian farmers. An attempt is also made to inspect the effect of financial literacy (FL) and financial confidence (FC) on the savings behaviour of the farmers in India.

This study used secondary data on 10,263 Indian farmers from Financial Inclusion Insights, 2017 database. Relevant statistical techniques and ordered probit regression were used to unfold the effect of FL and FC on the savings behaviour of farmers.

The outcome of the study revealed that the majority of the Indian farmers exhibited poor levels of FL and FC. Of the total, 42.99% were found to save regularly. FL and FC were observed to play instrumental roles in steering the savings behaviour of the Indian farmers. Household size, financial shocks, gender, farm ownership, income, household financial decision-making process, religion and educational attainment have emerged to be significant predictors of the savings behaviour of Indian farmers.

The present study makes an original contribution to the extant literature by unfolding the savings behaviour of Indian farmers and the effect of FL and FC on such behaviour using a rich sample of 10,263 farmers for the first time.

The study investigates how firm-level governance (FL_G) affects the disclosure of voluntary risk information. Likewise, it explores the influence of FL_G on the informativeness of voluntary risk disclosure (VRD). Specifically, it examines how FL_G shapes the nexus between VRD and firm value.

It uses a sample of non-financial firms from the FTSE350 index listed on the London Stock Exchange between 2010 and 2018. The authors utilise an automated textual analysis technique to code the VRD in the annual reports of these firms. The firm value, adjusted for the industry median, is a proxy for investor response to VRD.

The results suggest that UK firms with significant board independence and larger audit committees disclose more risk information voluntarily. Nevertheless, firms with larger boards of directors and higher managerial ownership disseminate less voluntary risk information. Besides, VRD contains relevant information that enhances investors' valuation of UK firms. These results are more pronounced in firms with higher independent directors, lower managerial ownership and large audit committees.

The study rationalises the ongoing debate on the effect of FL_G on VRD. The findings are helpful to UK policy-setters in reconsidering the guidelines that regulate UK VRD and to the UK investors in considering risk disclosure in their price decisions and thus enhancing their corporate valuations.

It contributes to the risk reporting literature in the UK by presenting the first evidence on the effect of a comprehensive set of FL_G on VRD. Besides, it enriches the existing research by shedding light on the role of FL_G on the informativeness of discretionary risk information in the UK.

The objective of this study is to ascertain the financial literacy (FL) of the farmers in three South Asian economies (India, Bangladesh and Pakistan). Further, an effort was made to explore various demographic and socioeconomic antecedents of FL of the farmers.

The study used secondary data of 11,025, 782 and 657 farmers from India, Bangladesh and Pakistan respectively from Financial Inclusion Insights (2017) database. “Big five” FL questions were used to measure the FL of the farmers. Appropriate statistical techniques and censored Tobit regression were used to identify the determinants of such FL.

Bangladeshi farmers (48.75%: Moderate) were found to exhibit greater FL as compared to Pakistani (38.96%: Poor) and Indian (32.61%: Poor) farmers. The outcome of the study revealed that the farm ownership and educational attainment of the farmers significantly determined FL of the farmers in all three Asian countries. Financial confidence and gender were observed to exacerbate a positive influence on the level of FL of farmers belonging to India and Pakistan. Age, marital status, financial inclusion and economic status were found to be the major determinants of FL of Indian farmers.

There is a dearth of studies in the scholarship examining the FL of farmers in both developed and developing economies. The present study makes an original contribution to the literature by unearthing FL amongst farmers and its determinants in three South Asian economies using a large sample of 12,464 farmers for the first time.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0776

The study aims to analyze, realize and identify the extent of research on financial literacy (FL) and to reveal the study trends, growth and evolution in the Scopus database from a bibliometric analysis. Principally, the primary purpose of this study is to conduct a comprehensive bibliometric review of studies focusing on the use, identification, network structure and conceptual structure of FL.

The most relevant articles were found using an electronic search. The studies that would be reviewed were sourced from the Scopus database. A total of 1,211 articles were found and refined to 768 papers between 1997 and 2021. Every composition has been analyzed in different dimensions such as co-authorship, co-citation, conceptual structure, co-word occurrence, trend topics analysis, thematic map, topic dendrogram, three field plot diagram and visualization analysis with the help of R programming language and VOSviewer software.

Motor themes, basic transverse, niche, and emerging and declining themes were identified using (Callon, 1991) a strategic thematic map. The analysis’s results showed that, over the past 20 years, FL literature has advanced remarkably. It also acts as a reference means for future researchers. This study adopted relational techniques such as co-word, co-author, co-citation analysis, bibliographic coupling and thematic map analysis revealing the emerging topics for future research. The relational approach indicates that “FL” and “human” are two central parts that connect to other frequently used words in the studies examined.

The study deploys bibliometric analysis appropriate for deriving insights from the vast extant literature. However, a meta-analysis might offer deeper insights into specific dimensions of the research topic. It expands the previous literature and shows study topics that are more focused by examining the abstracts and contents of articles published in journals in different Scopus categories. For future researchers to derive a solid theoretical framework, a systematic review of the literature and meta-analysis would be helpful. Science mapping for this study is limited to the Scopus database owing to its more comprehensive coverage of good-quality journals.

For future researchers to derive a solid theoretical framework, a systematic review of literature and meta-analysis would be helpful. Science mapping for this study is limited to the Scopus database owing to its more comprehensive coverage of good-quality journals. The authors offer suggestions for promising directions for future research that could address some of the inconsistencies found from the bibliometric analysis study.

This study can help both budding and established researchers to find new research focus, relevant sources, and collaboration opportunities and make informed decisions. Findings related to evaluative and relational techniques can serve as helpful information for researchers who are new to the field.

It shows the indicators used to benchmark institutes, authors, journals or articles. The increase in researchers’ collaborative, multi-authored and interdisciplinary efforts also revealed an annual growth rate of 23.77%. Overall, this study enhanced the understanding of the FL phenomenon and provided an experience and interpret a wide range of publication- and citation-based statistics. This study contributes to understanding the collaborative networks of various researchers and institutions and the benefits/detriments of collaborating cross-disciplinary, internationally, or with industry or corporate institutions.

The purpose of this study is to examine the role of personality traits (PTs) of individual investors on their investment intention (II). Further, to study the mediating role of overconfidence (OC) bias and financial literacy (FL) on the relationship between PTs and II.

The present study uses the quantitative approach for the data collection from the sample of 327 Indian investors investing in the stock market. The questionnaire was divided into segments to assess the investor’s PTs, OC, FL and II. The PT has been measured using the Big Five Personality Traits. Confirmatory factor analysis was used to test the reliability and validity of the constructs. The hypothesis was tested using structural equation modeling.

Findings of the study show that the PTs of an individual investor are associated with FL and II but insignificant with OC bias. Further, the FL and OC bias have a positive and significant influence on II. In addition, the mediation analysis showed that FL partly mediates the relationship between PTs and II.

The present study is helpful for financial companies, government, personal finance advisors and individual investors; they can keep in mind the behavior-related traits that can influence the investment decisions and design the portfolio accordingly. The policy-makers can implement programs on FL to enhance investment decisions in India.

This paper is unique that covers the mediating role of psychological bias, i.e. OC bias and FL, between the PTs and II of an Indian investor.

This study aims to propose novel edge device-tailored federated learning algorithms of local classifiers (stochastic gradient descent, support vector machines), namely, FL-lSGD and FL-lSVM. These algorithms are designed to address the challenge of large-scale ImageNet classification.

The authors’ FL-lSGD and FL-lSVM trains in a parallel and incremental manner to build an ensemble local classifier on Raspberry Pis without requiring data exchange. The algorithms load small data blocks of the local training subset stored on the Raspberry Pi sequentially to train the local classifiers. The data block is split into k partitions using the k-means algorithm, and models are trained in parallel on each data partition to enable local data classification.

Empirical test results on the ImageNet data set show that the authors’ FL-lSGD and FL-lSVM algorithms with 4 Raspberry Pis (Quad core Cortex-A72, ARM v8, 64-bit SoC @ 1.5GHz, 4GB RAM) are faster than the state-of-the-art LIBLINEAR algorithm run on a PC (Intel(R) Core i7-4790 CPU, 3.6 GHz, 4 cores, 32GB RAM).

Efficiently addressing the challenge of large-scale ImageNet classification, the authors’ novel federated learning algorithms of local classifiers have been tailored to work on the Raspberry Pi. These algorithms can handle 1,281,167 images and 1,000 classes effectively.

The low level of financial literacy among young adults is a pressing concern at both individual and country levels. Therefore, there is a dire need to understand the best-worst antecedents of financial literacy and how they influence each other.

A two-phased multicriteria decision-making (MCDM) technique consisting of best-worst method and interpretive structural modeling (BWM-ISM) was employed for pair-wise comparison, assigning weights, ranking and establishing the relationship among antecedents of financial literacy.

Results suggest that use of Internet (SF1), role of financial advisors (SF3) and education level of individuals (DS7) are top ranked antecedents, whereas masculinity/feminity, language and power distance in society are the least ranked antecedents of financial literacy. Findings will help both academicians and practitioners focus on the key factors and make efforts to increase financial literacy by minimizing resource usage.

The current study provides clarity among antecedents of financial literacy by following BWM-ISM approach for the first time in the financial literacy context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0746

Incorporating flipped learning (FL) into teaching English as a foreign language may improve student learning outcomes. This study gathered information on Saudi EFL teachers' readiness and willingness to apply FL. So, it aims to describe Saudi EFL teachers' readiness and willingness to apply FL in language classrooms and to find suitable guidelines for Saudi EFL professional development (PD) designers to follow.

This descriptive study involved 153 male and female Saudi EFL teachers as participants, investigating the perspectives and perceptions of these teachers within the context of foreign language teaching in Saudi Arabia. Surveys in Qualtrics were employed as the primary data collection tool for the study.

Results showed that teachers' self-efficacy of their current teaching was high. Most participants had positive attitudes and abilities related to FL, although they also identified potential challenges related to its engagement and assessment. Teachers expressed a strong willingness to participate in PD in this area, with a preference for online videos and group workshops.

The study emphasizes the importance of PD for Saudi EFL teachers. In addition, it offers guidelines for planning effective PD.

This study aims to examine the association between risk tolerance and risky investment intention with financial literacy as a moderating variable. The proposed relationship was explored specifically for millennials.

The questionnaire was divided into three segments to assess millennials' financial literacy, risk tolerance and risky investment intention. This study uses survey data from 402 millennial investors residing in Delhi-NCR region. The authors exploited PLS-SEM for the analysis because the model involved higher-order constructs.

The findings revealed that financial literacy has a negative impact on risky investment intention. Further, risk tolerance had a positive and significant influence on risky investment intention; however, when financial literacy was added as a moderating variable in this relationship, it had a negative impact on risky investment intention.

Every generation has its quirks, and millennials are no exception. Given their age and sheer number, leading to their dominance in the global workforce, millennials will bring about a generational shift. Awareness of Gen Y's financial literacy and risk behavior enhances their ability to make informed financial decisions, thus proving beneficial not only to them, but also to the whole economy. This will also help policymakers and institutions to introduce financial literacy programs and financial products in alignment with their needs and preferences.