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The purpose of this paper is to fill the momentous gap by explicitly investigating the asymmetric effects of monetary policy (MP) on non-bank financial intermediation (NBFI) assets.

The authors utilized panel data from 29 countries for the period of 2012–2020 and used the quantile regression estimation. In addition to simultaneous quantile regression (SQR), the authors also employ quantile regression with clustered data (Parente and Silva, 2016) and the generalized quantile regression (GQR) method (Powell, 2020).

The empirical results show a significant heterogeneous impact of MP. While there is a positive relationship between MP and NBFI assets (“waterbed effect”) at lower quantiles of NBFI assets, at middle and higher quantiles, MP has a negative impact on NBFI assets (“search for yield” effect). The authors further find that negative impact strengthens as the quantile levels of NBFI assets rise from mid to high. Findings also reveal that “procyclicality” (except higher quantile) and “institutional demand” hypotheses hold. However, regarding “regulatory arbitrage,” mixed results are observed indicating the impact of Basel III requirements.

Previous empirical studies have concentrated on either the Dynamic Stochastic General Equilibrium (DSGE) framework or conditional mean regression approaches and delivered mixed findings of the MP effects on NBFI. The current paper takes a step toward dealing with this issue by deploying quantile regression methodology, which shows the impact of MP on NBFI at different conditional distributions (quantiles) of NBFI assets instead of just NBFI's conditional mean distribution.

The food industry is continuously developing its online services called food delivery applications (FDAs). This study aims to evaluate FDA's importance–performance and identify strategies to maximize its potential gains from a business partner's perspective.

Data are collected from 208 FDA partners in Indonesia. Importance–performance analysis (IPA) is applied to evaluate the FDA feature and extended the theory of potential gain in customer value (PGCV) to achieve potential gains from FDA business partners.

This study provides a clear and measurable direction for future research to develop FDA performance. Owning customer data, revenue sharing and competitive advantage are the most potential gains from joining the FDA from the business partner perspective.

The respondents are restaurants from the micro, small, and medium enterprises levels. Further research should involve middle to upper level restaurants to discover all business partners' perceptions. This will be very helpful for FDA providers interested in improving the best performance for all their partners.

FDA providers must focus on improving and maintaining the features of owning customer data, revenue sharing, competitive advantage, stable terms and conditions, customer interface, building customer loyalty, online presence, user credit rating, promotion and offers, delivery service and sales enhancement to increase consumer satisfaction and meet the expectations desired by business partners.

This research provides a meaningful theoretical foundation for future work. It extends the theory of PGCV using the value of a partner perspective as a substitute for customer value; hence, the authors call it a potential gain in partner value.

Every year, millions of consumers around the world become victims of credit card fraud. These individuals have to appeal to their credit card companies to reverse unauthorized charges. This study aims to profile the American consumers’ experience when complaints to their credit card companies about unauthorized charges fail to produce a resolution. Using a large database of consumer complaint filings with the Consumer Financial Protection Bureau (CFPB), the characteristics of these consumer complaints are identified, and the drivers of consumer financial hardship resulting from credit card fraud are determined.

A random sample of consumer complaints about their credit card companies’ perceived mishandling of cases, filed with the CFPB, is used to conduct content analysis. The resulting content analysis categories are used in a predictive model to determine the drivers of consumer hardship.

In nearly one-quarter of all complaint filings, the credit card company had blamed the complainant as the party responsible for the fraudulent charges or refused to open a fraud investigation altogether. Nearly 60% of complaint reports contain expressions of emotional distress and many mention financial hardship. Nearly half of all complainants consider the fraud department operations of their credit card company as lacking in service quality, many reporting inability to reach the department or to receive a returned call. Even after CFPB intermediation, only 15% of complainants receive some form of financial relief from their credit card company. The majority of the complainants report a lack of willingness by the credit card company to reverse unauathorized charges, leaving the complainant financially responsible for them.

This study focused on data collected from consumers. Future research can expand the scope of inquiry by surveying the staff and executives in the fraud investigation departments of credit card companies to determine the norms of fraud investigation used within the industry.

This study sheds light on the financial hardship and emotional pains that consumers victimized by credit card fraud experience in dealing with their credit card companies.

To the best of the authors’ knowledge, this is the first study to empirically examine American consumers’ complaints about the fraud investigation operations of their credit card companies. Using data captured through the complaint filing system of a federal bureau (CFPB), the findings have implications for policymakers, regulators and credit card companies.

The purpose of this research is to explore the effect of goal type of user-generated content (UGC) on consumers' intention of within-domain and across-domain compensatory consumption in closed social media platforms, the mediating effect of self-threat, self-enhancement and self-protection motivation and the moderating effect of self-efficacy.

Four between-subject experiments were conducted to verify the hypotheses presented in this research. Study 1a had a sample size of 60 respondents and examined the effect of goal type of UGC on compensatory consumption. Study1b replicated the effect by using a sample size of 60 respondents. Study 2 had a sample size of 70 respondents and verified the mediating role of self-threat, self-enhancement motivation and self-protection motivation. Study 3 examined self-efficacy as a critical moderator by using a sample of 255 participants.

Study 1a and Study 1b demonstrate that UGC with an attainment goal (vs maintenance goal) is more easily produced within-domain and across-domain compensatory consumption. Study 2 verifies that the effect of goal type of UGC on within-domain compensatory consumption is serially mediated by self-threat and self-enhancement motivation, and the effect of goal type of UGC on across-domain compensatory consumption is serially mediated by self-threat and self-protection motivation. Study 3 demonstrates that self-efficacy not only moderates the effects of self-threat on within-domain or across-domain compensatory consumption respectively, but also moderates the whole mediating path structure.

This research extends the understanding of UGC and addresses the inconclusive evidence of the impact of goal type of UGC on consumer compensatory behavior in the context of closed social media platforms. The authors identify the moderating role of self-efficacy, which explains why consumers adopt different compensatory strategies.

This paper aims to discuss the adequacy of restrictive measures. Providing a synopsis of a global movement toward the imposition of target restrictive measures. Questioning the success of targeted restrictive measures in obtaining behavioural change. Identifying a reversion to the implementation of wide ranging sectoral restrictive measures in an attempt to encourage immediate behavioural change. Accessing the success of using restrictive measures to encourage democratic regimes in Africa.

This study is a desktop research that examines European Parliament and Council issued Regulations for the jurisdictions of Iran, Russia and Belarus. Academic research is also used in identifying a pendulum swing by global legislatures with respect to the imposition of targeted measures to requiring the imposition of additional wide ranging sectoral measures.

Targeted measures can be circumvented using non-hostile third countries. Academic research identifies that wide reaching sectoral sanctions encourage regime change. Therefore, where targeted measures fail to give rise to their desired persuasive objectives. The legislator moves to introduce additional measures, also comprising of sectoral sanctions. Sectoral sanctions have been applied by the European Union in Iran, Russia and Belarus. The USA has taken measures to limit Russia ability to use Turkey as a transshipment hub. The African continent case study identifies the importance of creating an architecture founded on upholding positive governance and human rights standards. Failure to do so leads to a revolving system of authoritarian regimes, sanctioned by restrictive measures.

This paper is a desktop review composed by the author.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

Little is known about the determinants of supply chain finance (SCF) adoption among small and medium-sized enterprises (SMEs) in developing countries. This study aims to address this relevant research gap and hence, draws on the resource-based view and transaction cost economies to empirically investigate five factors that make SCF adoption practicable among SMEs in Ghana.

The approach involves a sample of 257 SME managers/owners and modelling via structural equations modelling.

All five factors (innovative capability, information sharing, inter- and intra-firm collaboration, external financing and trade process digitization) were found to impact positively and significantly on SCF adoption. The findings provide SME managers/owners with a research model which guides them on how to settle the SCF process.

This paper used a cross-sectional survey, which makes it impossible to access changes over time. In addition, the use of quantitative method limits respondents from expressing their feelings fully. Using a mixed or qualitative methodology will provide avenues for future research.

This paper offers a completive advantage for Ghanaian SMEs to strengthen their relationships while collaborating with each other. The findings suggest that by adopting SCF solutions, SMEs can optimize their liquidity and working capital. The factors underpinning SCF adoption are of incredible attractiveness for SME managers/owners to discover the relevant practice of SCF solutions. SMEs should adopt SCF strategies for improving their capability to respond promptly to transactions.

This paper is among the few papers that have examined these five factors in a developing economy context. The study also provides new understanding of the factors that influence SCF adoption in the context of a developing economy.

Human capital is a portfolio of rich skills that the labour possesses. Human capital has attracted significant attention from scholars. Nevertheless, empirical findings on the utility of human capital have often been divided. To address the research gap in the literature, the authors attempt to understand how human capital plays a significant role in financial development and economic growth nexus.

The authors rely on secondary data published by the World Bank. The authors use econometric tools such as the autoregressive distributive lag (ARDL) model and related statistical tests to study the relationship between human capital, India's financial growth and gross domestic product (GDP) growth.

Study findings suggest that human capital and financial development contribute significantly to economic growth. Further, the authors found that human capital has a positive and significant moderating effect on the path of joining financial development and economic growth.

The study contributes to the human capital debate. Despite the rich body of literature, the study based on World Bank data confirms the previous findings that investment in human capital is always useful for the financial and economic growth of the nation.

This paper reveals some unique findings regarding effect of financial development and economic growth nexus which opens the window of new dimension to think about their nexus. It also provides a different pathway to foster the economic growth by using human capital and financial development as together, especially in India.

The purpose of the present paper is to provide a systematic overview of dimensions that need to be enfolded or considered in microfinance policies and strategies designs as well as impact studies aiming to empower or assess the empowerment of a specific category of women, namely women entrepreneurs. Afterward, the study aims to suggest some directions for future studies.

To meet its purpose, the paper applies the systematic review approach. The applied methodology follows guidelines for systematic reviews of social and economic interventions as set out by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). More specifically, the authors examine 87 empirical papers from 6 databases investigating the impact of microfinance institutions on the empowerment of women entrepreneurs.

Overall, findings of the study suggest that dimensions of the empowerment of women entrepreneurs are formed and conditioned by normative, cognitive and regulative institutional logics. Additionally, the systematic review suggests key research avenues and calls for more inclusive empirical studies in terms of geographical coverage, microfinance services/products assessed and method designs applied.

Findings of the current review provide clear theoretical contribution and useful practical implications in the field of microfinance and the empowerment of women entrepreneurs. On the one hand, the study suggests to scholars key avenues for future studies likely to bring new insights in terms of theory, context and methods. On the other hand, this study extents the understanding of microfinance practitioners on the concept of women empowerment as the field of female entrepreneurship is concerned. This implication is likely to enable the design of appropriate microfinance strategies and policies, allowing women entrepreneurs to achieve an overall empowerment.

The present paper contributes to the debate around the multidimensionality of the concept, “women empowerment.” The multidimensional nature of the addressed concept is well established in the existing literature. However, to the best of the authors’ knowledge, no study has provided a conceptual analysis of empowerment dimensions of a particular category of women, namely women entrepreneurs. Unlike most of the studies assuming that all women face identical challenges, the present paper brings new insights on the topic as it is built on a different assumption. The paper takes ground from the institutional theory and applies it to the specific case of female entrepreneurship.

This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.

This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.

The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.

In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.

The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.

The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.