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This study aims to focus on the dual outcomes and consequences of gritty leadership, including how it encourages followers to engage proactively and, as a result, succeed in their careers. On the other hand, the way it causes job stress in employees affects the overall work-life balance.

The snowball sampling method was used to gather data to test the dual outcomes of gritty leadership. Mid-level project employees in Rawalpindi and Islamabad provided the data.

The findings of the study indicate that gritty leadership comes with both advantages and disadvantages and adds to the development of individuals. Positive spillover effects (career success) may be created by grit leaders, and vice versa (poor work-life balance). On the bright side, gritty leadership promotes career success favorably through a proactive personality. Contrarily, gritty leadership causes job stress, which has a detrimental impact on work-life balance.

Thus, this study offers the explanatory mechanism by which the advantages and disadvantages of gritty leadership are manifested. The study is unique because it examines the results of gritty leadership and gives practitioners a realistic notion of the direction they should go.

Grounded in the conservation of resources theory, this study proposes the mechanisms and conditions under which customer mistreatment affects employee proactive behavior. This study focuses on insomnia as a mediating mechanism and resilience as a boundary condition for the indirect effect of customer mistreatment on employee proactive behavior via insomnia.

We conducted a single survey in two phases, with a time lag of three weeks, among 302 frontline South Korean employees. The data collected from these two points were then analyzed using hierarchical regression analysis and the PROCESS macro.

The findings demonstrated that there was a significant negative relationship between customer mistreatment and employee proactive behavior, and this relationship was mediated by insomnia. Furthermore, the results revealed that resilience moderates both the effect of customer mistreatment on insomnia and the indirect effect of customer mistreatment on employee proactive behavior through insomnia.

This research primarily focuses on Korean frontline workers, potentially limiting cultural generalizability. The reliance on self-reported data may introduce common method bias. Future studies should diversify participant demographics and utilize multi-source feedback to validate findings. Grounded in the Conservation of Resource Theory, this study underscores the neglected linkage between customer mistreatment and proactive behavior, especially in frontline employees. We introduce insomnia as a pivotal mediator, deepening our understanding of why mistreatment dampens proactivity. Additionally, we spotlight the role of resilience, revealing its buffering effect against mistreatment’s adverse outcomes.

Organizations should be aware of the detrimental effects of customer mistreatment on frontline employees, as it can hamper proactive behavior, primarily through the exacerbation of insomnia. Implementing resilience-training programs can be a proactive step, offering frontline staff tools to buffer against such negative outcomes. Managers are encouraged to recognize and address instances of customer mistreatment and prioritize employee well-being, which in turn can foster a more proactive and resilient workforce, enhancing organizational performance and customer satisfaction.

This study underscores the broader societal challenge of customer mistreatment in the service sector, highlighting its ripple effects on employee well-being and proactive behavior. It sheds light on the importance of fostering respectful interactions in public and private spaces, emphasizing mutual respect between customers and service providers. Recognizing the adverse impacts of mistreatment can prompt societal discourse on workplace ethics and encourage organizations to advocate for their employees' rights. Ultimately, nurturing a culture that condemns customer mistreatment can lead to healthier work environments, benefitting both employees and society at large.

This study presents a novel approach by investigating the impact of customer mistreatment on employee proactive behavior, considering insomnia as a mediator, a perspective that has received limited attention in existing literature. Additionally, it introduces the concept of resilience as a moderator, offering fresh insights into how individual resilience levels can affect the relationship between customer mistreatment and proactive behavior. The research goes beyond traditional analyses of workplace dynamics to explore the broader implications of these interactions on personal well-being and sleep patterns. Through the application of a moderated-mediation framework, this study enhances understanding of complex organizational behavior dynamics, particularly in the service sector, and provides valuable implications for both theoretical understanding and practical application.

The research objective of this paper is to investigate the direct and indirect impacts of green finance on agricultural carbon total factor productivity (ACTFP) within the framework of the carbon peaking and carbon neutrality (dual carbon) goals, while also identifying the driving factors through an exponential decomposition of ACTFP, aiming to provide policy recommendations to enhance financial support for low-carbon agricultural development.

In this paper, the Global Malmquist Luenberger (GML) Index method was employed to analyze and decompose the ACTFP, while the direct and spillover effects of China’s green finance pilot policy (GFPP) on ACTFP were assessed using the difference-in-differences (DID) method and the spatial differences-in-differences (SDID) method, respectively.

After the implementation of the GFPP, the ACTFP in the pilot area has experienced significant improvement, with the enhancement of technical efficiency serving as the main driving force. In addition, the GFPP exhibits a positive low-carbon spatial spillover effect, indicating it benefits ACTFP in both the pilot and adjacent areas.

Within the framework of the dual carbon goals, the paper highlights agriculture as a significant carbon emitter. ACTFP is assessed by considering the agricultural carbon emission factor as the sole non-desired output, and the impact of the GFPP on ACTFP is investigated through the DID method, thereby providing substantial validation of the hypotheses inferred from the mathematical model. Subsequently, the spillover effects of GFPP on ACTFP are analyzed in conjunction with the spatial econometric model.

Ethical leadership has been recognized as a critical factor in encouraging employees’ moral voices. This study offers a dual-route model to understand this process. The boundary conditions of these two routes are discussed herein.

The data originate from a multiwave, multisource survey study of 212 leader–subordinate dyads in Taiwan drawn from a variety of industry sectors.

The findings validate both the cognitive (moral efficacy) and affective (affective attachment) pathways from ethical leadership to moral voice, influenced by the organizational factor of political climate. While the moral efficacy pathway is more pronounced in a situation of weak political climate, the affective attachment pathway remains effective regardless of the climate’s strength.

Managers need to identify if their organization prioritizes rational professionalism or interpersonal affection. In the former case, they should focus on the learning effects of ethical leadership. Conversely, in the latter, the emphasis should be on the leader-subordinate relationship. Doing so optimizes the effectiveness of ethical leadership in growing moral voices.

Considering both cognitive and affective routes from ethical leadership to moral voice could integrate social learning theory (SLT) and social exchange theory (SET). Identifying factors influencing these two routes resonates with the leader–situation interaction perspective. This research deepens the understanding of ethical leadership's effects on encouraging and protecting employee moral voice.

In this paper, we aim to provide an extensive analysis to understand how various factors influence electricity prices in competitive markets, focusing on the day-ahead electricity market in Romania.

Our study period began in January 2019, before the COVID-19 pandemic, and continued for several months after the onset of the war in Ukraine. During this time, we also consider other challenges like reduced market competitiveness, droughts and water scarcity. Our initial dataset comprises diverse variables: prices of essential energy sources (like gas and oil), Danube River water levels (indicating hydrological conditions), economic indicators (such as inflation and interest rates), total energy consumption and production in Romania and a breakdown of energy generation by source (coal, gas, hydro, oil, nuclear and renewable energy sources) from various data sources. Additionally, we included carbon certificate prices and data on electricity import, export and other related variables. This dataset was collected via application programming interface (API) and web scraping, and then synchronized by date and hour.

We discover that the competitiveness significantly affected electricity prices in Romania. Furthermore, our study of electricity price trends and their determinants revealed indicators of economic health in 2019 and 2020. However, from 2021 onwards, signs of a potential economic crisis began to emerge, characterized by changes in the normal relationships between prices and quantities, among other factors. Thus, our analysis suggests that electricity prices could serve as a predictive index for economic crises. Overall, the Granger causality findings from 2019 to 2022 offer valuable insights into the factors driving energy market dynamics in Romania, highlighting the importance of economic policies, fuel costs and environmental regulations in shaping these dynamics.

We combine principal component analysis (PCA) to reduce the dataset’s dimensionality. Following this, we use continuous wavelet transform (CWT) to explore frequency-domain relationships between electricity price and quantity in the day-ahead market (DAM) and the components derived from PCA. Our research also delves into the competitiveness level in the DAM from January 2019 to August 2022, analyzing the Herfindahl-Hirschman index (HHI).

Taking a dynamic endogenous perspective, this study aims to examine neglected endogeneity issues in the relationship between corporate social responsibility (CSR) and brand value and the relationship’s moderation by corporate governance.

The study uses the three-stage least squares (3SLS) method on 990 samples of the 110 most valuable listed companies published by the World Brand Lab for 2013–2021 to empirically test the two-way interactive endogenous relationship between CSR and brand value.

The findings reveal that increasing investment in CSR increases brand value in the current period, which prompts companies to reduce investment in social responsibility, resulting in a decline in future brand value. Concerning the moderating effect of corporate governance variables, the size of the board of directors and the board’s proportion of independent directors positively regulate the relationship between CSR and brand value. By contrast, the proportion of executive shareholdings has a negative impact.

This study’s findings complement previous studies on endogeneity in the relationship between CSR and brand value, and enrich the literature on corporate governance, CSR and brand value as a whole. In addition, the study uses the 3SLS method, which avoids endogeneity problems and eliminates the one-sidedness of the subjective selection of instrumental variables.

The purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processes.

The article utilized a systematic literature review (SLR) methodology following five phases: formulating research questions, locating relevant articles, selecting and evaluating articles, analyzing and synthesizing findings and reporting results. The SLR aimed to critically analyze pharmaceutical industry case studies on Lean 4.0 implementation to synthesize key lessons, benefits and best practices.

Key findings reveal recurrent efficiency gains, obstacles around legacy system integration and data governance as well as necessary operator training investments alongside technological upgrades. On average, quality assurance reliability improved by over 50%, while inventory waste declined by 57% based on quantified metrics across documented initiatives synthesizing robotics, sensors and analytics.

As a comprehensive literature review, findings depend on available documented implementations within the search period rather than direct case evaluations. Reporting bias may also skew toward more successful accounts.

Synthesized implementation patterns, performance outcomes and concealed pitfalls provide pharmaceutical leaders with an evidence-based reference guide aiding adoption strategy development, resource planning and workforce transitioning crucial for Lean 4.0 assimilation.

This systematic assessment of pharmaceutical Lean 4.0 adoption offers an unprecedented perspective into the real-world issues, dependencies and modifications necessary for successful integration, absent from conceptual projections or isolated case studies alone until now.

This study aims to introduce a novel technique for nonlinear sensor time constant estimation and sensor dynamic compensation in hot-bar soldering using an extended Kalman filter (EKF) to estimate the temperature of the thermocouple.

Temperature optimal control is combined with a closed-loop proportional integral differential (PID) control method based on an EKF. Different control methods for measuring the temperature of the thermode in terms of temperature control, error and antidisturbance are studied. A soldering process in a semi-industrial environment is performed. The proposed control method was applied to the soldering of flexible printed circuits and circuit boards. An infrared camera was used to measure the top-surface temperature.

The proposed method can not only estimate the soldering temperature but also eliminate the noise of the system. The performance of this methodology was exemplary, characterized by rapid convergence and negligible error margins. Compared with the conventional control, the temperature variability of the proposed control is significantly attenuated.

An EKF was designed to estimate the temperature of the thermocouple during hot-bar soldering. Using the EKF and PID controller, the nonlinear properties of the system could be effectively overcome and the effects of disturbances and system noise could be decreased. The proposed method significantly enhanced the temperature control performance of hot-bar soldering, effectively suppressing overshoot and shortening the adjustment time, thereby achieving precise temperature control of the controlled object.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.

Unlike traditional industries, the e-cigarette is an epoch-making innovative product originating in China and occupying an absolute competitive advantage in the international market. The traditional A-U model describes the laws and characteristics of technological innovation in developed countries. In contrast, the inverse A-U model depicts the process of “secondary innovation” in late-developing countries through digestion and absorption. This paper aims to find out that if the e-cigarette, as a “first innovation” industry in a late-developing country, conform to the A-U model or conform to the “inverse A-U model”.

This paper takes the patent data of e-cigarettes from 2004 to 2021 as the research object, and uses Python’s Jieba segment words to divide product innovation and process innovation, and then uses statistical analysis methods to conduct empirical analyses on these data.

Thus, an improved A-U model suitable for the e-cigarette industry is proposed. In this model, product innovation in the e-cigarette industry appeared earlier than process innovation, but the synchronous development of product and process innovation is not lagging. The improved A-U model in the e-cigarette industry is not only different from the traditional A-U model but also does not conform to the inverse A-U model.

It is conducive to expanding and clarifying the theoretical contribution and applicable boundaries of the A-U model and has sparked thinking and exploration of the A-U model in e-cigarettes and emerging industries.

On this basis, suggestions on the development path and countermeasures of the e-cigarette industry are put forward.

Based on the e-cigarette industry, this paper takes patents as the research object and provides the method of dividing product innovation and process innovation, and proposes an A-U model suitable for the e-cigarette industry on this basis. By comparing the traditional A-U model with the inverse A-U model in latecomer countries, the background and causes of e-cigarette A-U model heterogeneity are analyzed from different stages and overall morphology. Based on this, the heterogeneity characteristics of e-cigarette innovation are summarized and sorted out.