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This study examines the impact of consumer-perceived value (CPV) dimensions such as product quality, price fairness, brand prestige and brand positioning on brand attitude and loyalty for electronic home appliance brands in an emerging market. It also explores the moderating effect of perceived store image on the relationship between brand attitude and loyalty.

This study proposes an integrated model based on consumption values and the value-attitude-behavior (V-A-B) framework. Survey data from 209 Bangladeshi consumers of electronic home appliances were used to test the model. Covariance-based structural equation modeling (CB-SEM) and PROCESS macro were employed to test the hypotheses.

This research underscores the importance of CPV dimensions, such as product quality, price fairness, brand prestige and positioning, in predicting brand loyalty through brand attitude. Store image moderates the link between brand attitude and loyalty, with a stronger relationship when store image is high and a weaker relationship when it is low.

This study broadens marketing and consumption value theory by investigating brand prestige and positioning in the V-A-B framework in the emerging market. This is the first study to use perceived store image to moderate the relationship between brand attitude and loyalty.

To the best of our knowledge, no study has examined credit cycle synchronizations in the context of emerging economies. Studying the credit cycles synchronization across BRICS (Brazil, Russia, India, China and South Africa) countries is crucial given the magnitude of trade and financial integration among member counties. The enormity of the trade and financial linkages among BRICS countries and growth spillovers from emerging economies to advanced and low-income countries provide the rationale and motivation to study the synchronization of credit cycles across BRICS.

The study investigates the credit cycles coherence across BRICS economies from 1996Q2 to 2020Q4. The synchronization analysis is done using the noval wavelet approach. The analysis examines not only the coherence but also the extent of credit cycle synchronization that varies across frequencies and over time among different pairs of nations.

The authors find heterogeneity in the credit cycles' synchronization among the member nations. China and India are very much in sync with the other BRICS countries. China's high-frequency credit cycle mostly leads the other countries' credit cycles before the global financial crisis and shows a mix of lead/lag relationships post-financial crisis. Interestingly, most of the time, India's low-frequency credit cycles lead the member countries' credit cycles, and Brazil's low frequency credit cycle lag behind the other BRICS countries' credit cycles, except for Russia. The results are crucial from the macroprudential policymaker's perspective.

The empirical design is applicable to a similar set of countries and may not directly fit each emerging economy.

The findings will help understand the marked deepening of trade, technology, investment and financial interdependence across the world. BRICS acronym requires no introduction, but such analysis may help understand the interaction at the monetary policy level.

This is the first study that highlights the need to understand the credit variable interactions for BRICS nations.

The COVID-19 pandemic has had far-reaching effects on society and will continue to be a subject of study for researchers in the years to come. Businesses have implemented technologies that reduce reliance on physical currencies, such as e-commerce sites and contactless payments. This study aims to examine the users’ attitudes and behaviors toward mobile payments. The focus is on identifying the most effective techniques and approaches that businesses can use to encourage user adoption of mobile payments.

This study uses survey data from 396 active mobile payment users across the mid-west region of the USA to test the proposed hypothesis. The snowball sampling approach is used to sample the participants for the data collection. This study uses partial least squares structural equation modeling to test the ten hypotheses proposed in this study.

This study finds that organizational commitment and privacy customization can significantly overcome users’ protective attitudes toward mobile payments during the pandemic. In addition, providing users with privacy customization options can significantly encourage self-disclosure, which is crucial for transaction authentication and fraud detection.

Envisioned in the backdrop of the COVID pandemic, this is one of the earliest studies investigating the role of privacy customization, self-disclosure and organizational commitment on mobile payment adoption.

Drawing from socialization theory this study investigates the effect of financial socialization and mediating role of “attitude toward money” (ATM) and financial literacy on the financial behavior of young adults in an emerging economy.

A cross-sectional survey of 302 young adults was conducted and responses were analyzed to determine the key antecedents of financial behavior. The model was tested using OLS regression. Parallel mediation was tested using Process Macro in SPSS.

ATM, subjective financial literacy, objective financial literacy are positively associated with financial behavior. Furthermore, parallel mediation analysis establishes the role of ATM and subjective financial literacy as a mediator between financial socialization and financial behavior.

These findings have implications for both financial and academic institutions and policymakers. Academic institutions should introduce personal wealth management courses at early stages in their courses to help young adults make appropriate financial decisions. Policymakers should emphasize creating a habit of budgeting and managing expenses among young adults in addition to promoting financial literacy.

This study focuses on determinants of financial behavior in young adults and specifically, argues that involving parents to financially socialize their children have a crucial impact on subjective financial literacy and ATM which has not been explored in previous literature.

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 aim of this research is to demonstrate the importance of placing a valuation on information assets and to propose a new valuation technique that complements existing valuation methods and provides improved results. It seeks to answer the following research question: what are the attributes of information relevant to value and how can they be used to produce a valuation of the information?

Using a test bed, hosted on the college's intranet for 12 days, three important variables were calculated: accessibility, lifespan and outcome across five files. Calculating these three variables is essential to conducting an accurate valuation of the information asset.

The research demonstrates the relationships between these variable (accessibility, lifespan and outcome) as well as showing that they have a critical impact on the value of the information asset. The findings provide a strong rationale for the practitioner or researcher to adopt the model in real time situations. The correlation coefficients of our attributes are: 0.9996 for accessibility and lifespan; 0.9755 for accessibility and outcome and 0.9754 for lifespan and outcome.

Due to the sensitive nature of some of the information held by the organization, the observations were somewhat limited. However, the model could be replicated with a collaborative arrangement between the organization and academia.

This paper aims to provide a new model for risk management that can be used effectively to conduct a valuation of information assets. The approach will help the organization to better quantify their information assets and will prove to be a useful tool for the next generation of Information security managers.

This paper determines the valuation of information assets based on three variables; accessibility, lifespan and outcome. These variables have been identified from the extensive literature review in the area of intangible assets.

This study aims to highlight the impact of information acquisition confidence and social outcome confidence on information search and information share intention. Moreover, the role of subjective knowledge is analyzed as a mediating variable among these relations.

This study conducted a survey which generated 233 valid responses. The data were analyzed using component factor analysis and structural equation modeling. Whereas, to examine the mediating effect, Hayes and Preacher (2008) model for statistical mediation analysis was used.

The results mainly supported the model by confirming that subjective knowledge, information acquisition confidence and social outcome confidence are positively related to information search intention. No association between information acquisition confidence and information sharing intention was found. The study's findings also suggested a positive association of social outcome confidence, subjective knowledge and information acquisition confidence with information share intention. Moreover, the results revealed that there is a significant and positive mediating effect of subjective knowledge between information acquisition confidence and information search intention. Subjective knowledge also acts as a mediator in the relationship between social outcome confidence and information sharing intention.

This study will be helpful for marketers and policymakers for designing marketing strategies which can enhance the flow of information. Moreover, this study will ensure the importance of information to marketers.

This paper fulfills an identified need to study the impact of consumer information acquisition confidence, social outcome confidence on information search and sharing with mediating role of subjective knowledge.

The purpose of this study is to understand the detailed mechanism through which consumer citizenship behavior gets affected by corporate social responsibility through perceived employee behavior and consumer company identification.

The study subjects data from cross-sectional survey of 405 retail store consumers to structural equation modeling.

The results indicate that consumer company identification plays a very crucial role as it mediates the effect of corporate social responsibility and employee behavior on consumer citizenship behavior. In addition, the results also indicate that corporate social responsibility perceptions lead to positive employee behavior.

The study contributes to the literature on consumer citizenship behavior by identifying and filling up two major gaps in the retail outlets' context: (1) the limited empirical investigation of antecedents of consumer citizenship behavior up to third-level (i.e. antecedent of antecedent of antecedent) (2) the lack of clarity on the exact mechanism through which perceived corporate social responsibility influences consumer citizenship behavior, and the role of consumer company identification as a mediator in this relationship.

The review examines the existing literature on blockchain-based small and medium enterprise (SME) finance and highlights its trend, themes, opportunities and challenges. Based on these factors, the authors create a framework for the existing literature on blockchain-based SME financing and lay down future research paths.

The review follows a systematic approach. It includes 53 articles encompassing multiple dimensions of blockchain-based SME finance, including peer-to-peer lending platforms, supply chain finance (SCF), decentralized lending protocols and tokenization of assets. The review critically evaluates these approaches' theoretical underpinnings, empirical evidence and practical implementations.

The review demonstrates that blockchain-based SME finance holds significant promise in addressing the credit gap by leveraging blockchain technology's decentralized and transparent nature. Benefits identified include reduced information asymmetry, improved access to financing, enhanced credit assessment processes and increased financial inclusion. However, the literature acknowledges several challenges and limitations, such as regulatory uncertainties, scalability issues, operational complexities and potential security risks.

The article contributes to the growing knowledge of blockchain-based SME finance by synthesizing and evaluating the existing literature. It also provides a framework for the existing literature in the area and future research paths. The study offers insights for researchers, policymakers and practitioners seeking to understand the potential of blockchain technology in filling the SME credit gap and fostering economic development through improved access to finance for SMEs.

This study aims to test a moderated mediation model for a twofold purpose. First, to examine the mediating role of financial capability (FC) in the association between financial literacy (FL) and financial well-being (FW). Second, to analyze if non-impulsive future-oriented behavior (NIB) moderates the associations of FL with FC and FL with FW.

The authors use the PROCESS macros in IBM SPSS Statistics to test the moderated mediation model and analyze the 2016 wave of the Household, Income and Labor Dynamics in Australia Survey.

The empirical analysis shows that FC partially mediates the association between FL and FW. Furthermore, the moderated mediation analysis shows that NIB strengthens the associations of FL with FC and FL with FW. Specifically, the positive associations of FL with FC and FL with FW significantly increase for those consumers who score high on NIB.

The findings have implications for the financial services industry. Professional financial planners can positively improve the ability of consumers to deal with their financial matters by highlighting the importance of FL and NIB.

The study findings suggest educating consumers to discourage impulsive behavior and encourage them to create financial plans as it will enhance their ability to conduct financial tasks efficiently, improving their FW.

To the authors’ knowledge, this is the first study to assess a moderated mediation model, which examines the role of FC as a mediator variable and NIB as a moderator variable in the association between FL and FW.