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Although training is essential to continuous improvement, scant literature examines post-training facilitators for continuous improvement. The study aims to explore the relationship between training and continuous improvement, the mediating role of self-efficacy and the moderate role of training transfer climate.

This study utilizes the questionnaire survey of 455 Vietnamese employees to test the link between continuous improvement training and continuous improvement, the moderate role of the training transfer climate and the mediating role of self–efficacy.

Research results reveal that training positively influences continuous improvement. Furthermore, self-efficacy fully intervenes in the link between training and continuous improvement. Finally, the training transfer climate positively moderates this link.

Although the link between training and continuous improvement is suspicious, there is scant research on post-training facilitators of continuous improvement applications. To the best of the author's knowledge, this study is one of the first to explore the moderation role of transfer climate and the mediation role of self-efficacy in the relationship between training and continuous improvement.

This study uses the Electronic Data Gathering Analysis and Retrieval (EDGAR) implementation as an information shock to examine its effect on corporate payout policy.

This study uses a generalized difference-in-differences approach to assess the causal impact of EDGAR implementation on the US publicly traded firms’ payout policy for a period from 1990 to 1999. The approach captures the difference between changes in the dividend policy of firms subjected to EDGAR implementation (treated firms) and those not subjected to the implementation (control firms).

Firms increase payout ratios and the likelihood of paying dividends after the implementation of EDGAR. Notably, these effects are more pronounced in firms characterized by high agency problems ex-ante.

Policies designed to improve a firm’s information environment may yield divergent effects on corporate payout policy. Consequently, in countries aiming to promote cash dividends, policymakers seeking to enhance the firm information environment should carefully consider initiatives that will improve minority investors’ access to corporate information.

The findings contribute to the real effects of EDGAR implementation on firm policies, addressing the ambiguity surrounding the economic consequences of EDGAR adoption. This paper also contributes to the existing literature on the impact of information shock on corporate payouts. The findings emphasize the multifaceted influence of information shock on corporate payouts.

This chapter shows the prevalence, trends and heterogeneity in maternal smoking around birth in the United Kingdom (UK), focussing on the war and post-war reconstruction period in which there exists surprisingly little systematic data on (maternal) smoking behaviours. Within this context, the authors highlight relevant events, the release of new information about the harms of smoking and changes in (government) policy aimed at reducing smoking prevalence. The authors show stark changes in smoking prevalence over a 30-year period, highlight the onset of the social gradient in smoking as well as genetic heterogeneities in smoking trends.

This study aims to investigate suspects underlying motivations to resist cooperation during investigative interviews. The authors propose a tripartite framework (i.e. concerns for identity, relational and instrumental reasons) for understanding motivations to resist, tested through three qualitative studies.

The authors coded semi-structured debriefs about investigators’ experiences with communicative resistance throughout their careers (n = 40; Study 1), with particularly resistant suspects (n = 18; Study 2) and with both investigators and their suspects (n = 11; Study 3). Coders identified examples illustrative of subcategories within the framework.

The authors found that both investigators and suspects cite various motivations to resist. The participants also highlighted the importance of considering these motivations when devising how to mitigate resistance within an investigative interview.

This research examines the understudied topic of communicative resistance and begins to examine motivations that might underlie the phenomenon. Eliciting and understanding suspects’ resistance motivations should be an important component of mitigating resistance using a rapport-based model.

This paper aims to study boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems and to present their efficient numerical resolution and analysis.

This study includes cases in which the diffusion parameters are small, distinct and can differ in order of magnitude. The source term is considered to be discontinuous. The asymptotic behavior of the solution is examined. The layer structure is analyzed, leading to the development of a variant of layer-resolving Shishkin mesh. For efficient numerical resolution, two methods are developed by combining additive schemes on a uniform mesh to discretize in time and an upwind difference scheme away from the line of discontinuity and a specific upwind difference scheme along the line of discontinuity, defined on a variant of layer resolving Shishkin mesh, to discretize in space. The analysis of the numerical resolution is discussed using the barrier function approach. Numerical simulations provide a verification of the theory and efficiency of the approach.

The discontinuity in the source term, along with the inclusion of small and distinct diffusion parameters, results in multiple overlapping and interacting boundary and interior layers. The work demonstrates that the present approach is robust in resolving boundary and interior layers. From a computational cost perspective, the numerical resolution presented in the paper is more efficient than conventional approaches.

Efficient numerical resolution and analysis of boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems are provided. The discretization of the coupled system in the approach incorporates a distinctive feature, wherein the components of the approximate solution are decoupled at each time level, resulting in tridiagonal linear systems to be solved, in contrast to large banded linear systems with conventional approaches.

This study aims to examine the user experience (UX) and usability of mobile and open banking solutions for digital natives in Turkiye, identifying their specific needs and behaviors with these technologies. It explores how these solutions can be optimized for efficiency, security and user satisfaction.

A qualitative, exploratory study was conducted using a sample of 10 digital natives (aged 18–23) in Turkiye. Data were collected through three-stage user interviews, focusing on participants’ current mobile banking experiences, their expectations for open banking and a heuristic evaluation of mobile banking applications. The interviews were analyzed to understand the participants’ interaction patterns and usability issues with these applications.

Participants frequently used mobile banking for financial transactions like money transfers and QR payments. However, challenges like interface complexity, error potential and data overload hindered satisfaction. Participants were unfamiliar with open banking but were interested in its potential, though privacy concerns were prevalent.

This study adds to the limited literature on UX and usability in mobile and open banking, offering a design perspective focused on error prevention, trust-building and personalization.

This study aims to examine whether interest rate regulations affect stock returns in a developing market.

This study analyses the impact of interest rate regulation on Kenyan banks using the event methodology and a difference-in-difference approach. It examines the market reaction and bank valuation effects from 2004 to 2022, focusing on the rate cap’s introduction in August 2016 and its repeal in November 2019. Cumulative abnormal returns are calculated for four sub-periods within a five-day window around these events using data from 11 banks and 300 days.

Contrary to expectations, this study finds that the announcement of interest rate controls results in negative and statistically significant cumulative abnormal returns. However, the difference-in-differences analysis shows that these regulatory changes had an insignificant long-term impact on market valuations beyond the event period.

This study shows how interest rate regulations affect stock returns, guiding investors in managing wealth and market efficiency in developing economies.

This study investigates market reactions and bank valuations in response to interest rate regulations within a developing economy. It focuses on the introduction of rate caps, their subsequent repeals and a shift to risk-based lending. Using a combination of event study methodology and difference-in-difference analysis offers a novel methodological contribution compared to prior research.

The paper analyzes the impact of bank opacity on financial stability in an emerging economy.

Based on a unique dataset of 31 Vietnamese commercial banks from 2007 to 2019, the paper captures earnings opacity via discretionary loan loss provisions and reflects individual bank stability through the accounting-based Z-score index and its disaggregate components. The least squares dummy variable corrected (LSDVC) approach is employed for empirical analysis.

In contradiction to most studies on developed economies, earnings management improves bank financial stability in Vietnam. Earnings management is more important for the financial stability of smaller banks. Further, the effect of financial information disclosure on bank stability is strengthened by unfavorable macroeconomic conditions, particularly economic downturns, the global financial crisis and uncertain times in banking.

This is the first study to shed light on how bank opacity influences bank financial stability in an emerging market. The evidence with the conditioning roles of bank size and macroeconomic factors, such as uncertainty in banking, is entirely novel in the related literature. Additionally, the paper contributes to a growing body of banking literature by using the LSDVC estimator to examine the association between bank opacity and bank stability.

This study sits at the intersection of financial planning and FinTech, focusing on robo-advisory, an affordable and accessible digital financial advisory service. Individuals’ lack of trust has resulted in low adoption of robo-advice. This study aims to understand the psychological process of how individuals build trust in robo-advice, helping them engage with it more effectively and access affordable financial advice.

Using a trust transfer theory framework and 15 semi-structured interviews, this study identifies the sources people rely on to build trust in robo-advice.

The authors highlight four themes – social influence, psychological comfort, safeguarding and compliance and personal capacity – that shape individuals’ trust in robo-advice. In addition to direct trust in robo-advice, firm-specific trust and system trust can also transfer to trust in robo-advice. This study finds that financial literacy and risk tolerance moderate individuals’ trust in robo-advice, while psychological comfort first shapes trust and then drives adoption. The findings suggest that even young, tech-savvy individuals may not fully benefit from robo-advice due to low personal capability. They also prefer a hybrid model, where combining robo-advice with traditional advisory services could offer greater benefits.

This study details the concept of trust in the robo-advice context into three dimensions: technology trust, firm-specific trust and system trust. Existing research on robo-advice lacks quantitative tests on firm-specific and systemic trust; therefore, this qualitative exploratory study offers foundational theoretical insights.

This paper aims to examine how bank stress tests affect bank tax planning.

The study uses US bank stress test bank size thresholds and a regression discontinuity design to investigate the effect of the Dodd-Frank Act and the instituted bank stress tests on bank tax planning. We use different measures of tax planning, including bank-specific measures and measures of tax avoidance, tax aggressiveness, and effective tax planning from recent literature. Our regression discontinuity and difference-in-differences regression analyses include bank and year fixed-effects and lagged bank characteristics to control for potential endogeneity.

This study finds that stress tests have the unintended consequences of intensifying tax planning and increasing tax avoidance. Stress-test banks increase tax avoidance by accelerating charge-offs, net interest, and non-interest expenses. However, this increase in tax planning is not optimally maximized, leading to lower effective tax planning compared to non-stress-test banks. Banks with a substantial increase in tax avoidance under the Dodd–Frank Act tend to increase their risk, investing in high-risk-weight assets and lending in riskier loan categories. These findings are consistent with tax minimization conditions under added regulatory attention and policy uncertainty.

Literature on bank tax planning is limited. Most tax avoidance literature excludes financial institutions such as bank holding companies mainly due to differences in business practices and regulatory frameworks. This study is the first to investigate tax planning behavior among US banks. The current study thus extends the research field by examining the effect of bank transparency regulations, such as bank stress tests, on bank tax planning activities. Our findings have a direct bank policy implication. They show that stress testing has the unintended consequences of increasing tax planning activities and consequently increasing risk-taking on banks with high tax avoidance, which goes against the goals of stress testing regulations.