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The purpose is to understand the fundamental mechanism of the consumer decision-making process and how perceived financial risk of search and experience goods influences electronic word-of-mouth adoption (e-WOMA) on social networking sites (SNSs), which will lead to purchase intention.

Drawing on information processing theory, the study conceptualizes a moderated mediation model to investigate the underlying influence of perceived financial risk and online social ties on e-WOMA and the subsequent effect on online purchase intention. Survey data from 275 individuals were analyzed through statistical tools using Statistical Package for the Social Sciences (SPSS).

The results revealed that e-WOMA mediates the effect of perceived financial risk of search and experience goods on online purchase intention. Strength of online social ties on SNSs positively moderates the electric word of mouth adoption for both the experience and search goods.

The limitation of this study was about the researcher's restrictions related to the length of the survey. Moreover, causal explanations can't be deduced as this is a cross-sectional study.

This research offers insight into the consumers that allow marketers to dive into the target market. Marketers should focus on social ties importance while selling products/services of markets online.

The study is novel in the context of an emerging economy to educate marketers on the product categorization of search goods and experience goods based on financial risk.

The purpose of this paper is to better understand why people are willing or hesitant to use Financial technology (Fintech) as well as to determine whether the effect of perceived benefits and risks of continuance intention differs depending on user types.

Original data were collected via a survey of 243 participants with Fintech usage experience. The partial least squares method was used to test the proposed model.

The results reveal that legal risk had the most negative effect on the Fintech continuance intention, while convenience had the strongest positive effect. Differences in specific benefit and risk impacts are found between early and late adopters.

This empirical study contributes to the novel understanding of the benefit and risk factors affecting the Fintech continuance intention.

This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

The purpose of this paper is to examine how the various perceived risk facets such as financial risk, performance risk, psychological risk, social risk, and physical risk influence the Indian consumers’ perceived overall risk during the purchase of green products such as energy-efficient LED light bulbs.

A self-administered questionnaire comprising a total of 29 items was employed over a sample of 272 respondents. The structural equation modeling using partial least squares was used for data analysis.

Psychological risk emerged as the most influential of the various risk facets in affecting perceived overall risk. Financial, physical, and performance risks emerged as the second, third, and fourth most influential risk facets, respectively, which affect the perceived overall risk. Surprisingly, social risk did not emerge as an influential facet when it comes to affecting perceived overall risk. Further, psychological and financial risks appeared to have a positive medium-level influence on the perceived overall risk, whereas physical and performance risks appeared to have a positive weak influence on the perceived overall risks. The influence of financial risk on the perceived overall risk was found to be partially mediated by performance risk.

The study is unique in the sense that it reflects the risk perception of potential consumers in one of the largest emerging markets of the world, when it comes to purchase of green products.

Financial service providers are facing challenges in the acceptance of digital financial services. The study, therefore, intends to identify factors contributing towards the adoption of digital finance. It has worked on the influencers and demotivators of digital finance adoption by individuals. These influencers are labelled as perceived benefits and demotivators as perceived risks. In addition to perceived benefit and risk, the study has also included the difference in perception on the basis of generation cohort.

The data have been collected through a structured questionnaire from 411 respondents. Partial least squares structured equation modelling (PLS-SEM) has been used to analyse the proposed model on SmartPLS.

The findings suggested that the benefits were more influential in adoption behaviour than perceived risk. In addition to perceived benefit and risk, the study has also included the difference in perception on the basis of generation cohort. The results summarised that benefits had a more significant impact in Generation Z (Gen Z) than in Millennials.

The evaluation and categorisation of perceived risk and benefits into meaningful dimensions generate value to the adoption behaviour of digital finance. Thus, the findings are useful for the policymakers and researchers to contemplate the perception of individuals in digital finance based on the generation cohort.

The empirical findings of the present research contribute to limited evidence of a relationship between perceived risk, perceived benefit and digital finance adoption on the basis of generation cohort.

The purpose of this paper is to investigate and understand China’s rural farmers’ financing intention of inclusive finance, and it examines related drivers like knowledge of inclusive finance, perceived benefits and perceived risks of ordering finance. Besides, the social enterprise embeddedness and digital finance are integrated into the conceptual model to further investigate their moderating impact.

The authors designed an inclusive finance intention model to examine the relations between dependent variable knowledge of inclusive finance, intermediary variables perceived benefits and perceived risks of ordering finance and the independent variable financing intention of inclusive finance. The embeddedness of social enterprise and digital finance were identified as modifying factors. Both exploratory and conclusive research strategies were applied. A structured questionnaire was developed to collect empirical data from the rural areas of China.

It suggests that knowledge of inclusive finance can strengthen both perceived benefits and perceived risk of ordering finance. Interestingly, the embeddness of social enterprise can significantly reduce risk perceptions and improve perceived benefits of ordering finance. Furthermore, perceived benefits of ordering finance can positively enhance rural farmers’ financing intention of inclusive finance, whereas perceived risks can negatively influence the financing intention. Moreover, digital finance as a modifying factor can significantly strengthen the positive correlation between perceived benefits of ordering finance and financing intention of inclusive finance.

The research indicates that a systematic inclusive finance educational project is needed to enhance rural farmers’ understanding of inclusive finance and its components. Moreover, the study reveals that it is crucial to promote social enterprise participation and digital finance to develop inclusive finance in rural China, as the service attributes of social enterprise and efficiency of digital finance can greatly reduce the existing transaction cost of farmers.

The conceptual model would potentially contribute to researchers interested in investigating the financing intention of inclusive financial services relating to rural population. The integration of social enterprise embeddedness and digital finance is the uniqueness of this research conceptual model.

The COVID-19 pandemic has caused hundreds of thousands of people to suffer severe illness or die and has had severe effects on individuals’ financial well-being as well. Unfortunately, it is very likely that the pandemic has had a disproportionate effect, particularly on vulnerable and underserved groups, including immigrants in the USA. This study aims to examine the association between perceived health risk and perceived financial risk attributable to COVID-19, and focuses on their heterogeneous effects depending upon immigrant status.

The study used the Understanding America Study (UAS) COVID-19 National Survey data collected from April 2020 to July 2021. Sets of ordinary least squares (OLS) regression and fixed effects regression analyses were conducted on the perceived risk COVID-19 poses on households’ finances. The main focal variables of interest were immigrant status and perceived risk of COVID-19 infection and death.

The results showed that the correlation between health risk and perceived financial risk was much higher among first- and second-generation immigrants. Surprisingly, various types of government aid did not have a consistent and significant effect on the recipients’ perception of the risk that COVID-19 poses to their household finances.

This study is one of the few attempts to empirically examine the association between perceived health risk and financial risk during the COVID-19 pandemic by focusing on the heterogeneity by immigrant status. The authors used an appropriate methodology that considered the panel structure of the UAS COVID-19 National Survey’s data. The study provides important implications for researchers and policymakers related to immigrants’ financial well-being.

The purpose of this paper is to investigate the effects of financial incentives on consumers’ intention to adopt near field communication (NFC) mobile payment.

An online experiment was conducted crossing two levels of incentive types (cash back and discount), two levels of incentive amounts (5 and 10 percent), and two levels of incentive promotion periods (one and three months). A total of eight treatment conditions plus one control group comprised the 2×2×2 factorial design. A sample of 463 subjects with no prior experience with NFC mobile payment was recruited using a Qualtrics panel.

This study found that: the availability of financial incentives had a positive effect on intention to adopt NFC mobile payment; financial incentives indirectly affected intention through perceived risk; and while different types, amounts or promotion periods did not seem to matter for those in the low perceived risk group, the main effect of promotion period and the interaction effect between amount and promotion period were significant for those in the high perceived risk group.

The study sample was limited from 18 to 35 age group, which could have affected the varied effect of the different attributes of incentives that were examined.

This study is the first to give some empirical evidence about the impact of financial incentives on NFC mobile payment adoption. The results provide insight to providers as well as retailers offering the incentive payment option.

This study aims to identify key factors driving consumers' adoption of Open Banking. It extends the Unified Theory of Acceptance and Use of Technology (UTAUT) by integrating perceived risk, initial trust and financial literacy into an overarching conceptual model.

Measurement items of the theoretical constructs included in the conceptual model were adapted from related literature and a set of hypotheses was developed. The hypotheses of the conceptual model were subsequently assessed with partial least squares structural equation modeling using a dataset of 456 Australian survey respondents.

The model has strong explanatory power with an R² of 69.5%. Performance expectancy, effort expectancy, social influence and perceived risk are direct antecedents of consumers' usage intention of Open Banking. Social influence has a strong mediating effect on usage intention through performance expectancy. The effect of perceived risk is alleviated by effort expectancy and initial trust, while initial trust positively affects the effects of performance expectancy and effort expectancy on consumers' usage intention of Open Banking. Finally, financial literacy lowers initial trust towards Open Banking, possibly inducing consumer skepticism.

The results suggest that practitioners should focus on performance expectancy as a primary driver of Open Banking adoption, while understanding the role of other drivers, such as social influence and perceived risk in developing marketing strategies. Policy makers are recommended to adopt a governance approach to build initial trust amongst consumers.

This research contributes by providing an integrated and comprehensive model for explaining consumers' FinTech adoptions by extending the existing technology adoption model UTAUT to the Open Banking domain and integrating perceived risk, initial trust and financial literacy, thereby advancing and enriching the conceptual horizon of the extant literature.

Cryptocurrency, an important application of blockchain technology, has gradually circulated, and its use has become widespread. While cryptocurrency is growing rapidly, potential risks are simultaneously emerging. Users thus may abandon their usage behavior of cryptocurrency, hindering the future development of cryptocurrency. While prior studies focus more on the intention to use cryptocurrency in the pre-adoption phase, less studies pay attention to discontinuance usage intention in the post-adoption phase. To fill this knowledge gap, this stfudy aims to explore factors that cause discontinuance usage intention regarding cryptocurrency.

Based on the net valence framework theoretically grounded on the theory of reason action, a dilemmatic dual-factor model is proposed to figure out cryptocurrency users' discontinuance usage intention from the perceived risk and perceived benefit. This study identifies four potential risks and three potential benefits that affect perceived risk and benefit. The model with nine hypotheses were developed, and research data were collected by a survey method. A total of 343 valid responses were received, and PLS-SEM with SmartPLS was utilized to test the nine hypotheses, with seven hypotheses supported empirically.

Our findings demonstrate that financial, legal and operational risks are critical to increase users' perceived risk, and perceived usefulness and seamless transactions play important roles in enhancing users' perceived benefit. Moreover, while perceived risk can increase users' discontinuance usage intention to cryptocurrency, perceived benefit can mitigate such intention.

This study contributes nascent knowledge to the literature by examining factors that influence discontinuous usage intention in regard to cryptocurrencies, to firms that have issued or attempted to issue cryptocurrencies and to the potential users of cryptocurrencies by adjusting the mode of operation and investment strategies and reducing user costs, achieving a win-win situation for firms and users.