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Brand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can increase their market shares and product market prices, in addition to gaining a competitive advantage. In order for businesses to have these advantages, they need to know and analyze their consumers. This study aimed to develop an alternative analysis method by using classification algorithms and regression analysis to measure and evaluate the effect of consumers' BR perceptions on their willingness to pay premium prices (WPP).

The research data were collected from 483 participants by the online survey method due to the COVID-19 pandemic. The data were first analyzed with regression analysis, and the effect of BR on WPP was found to be significant. Then, using artificial intelligence (AI) methods that were not used in previous studies, consumers' perceptions of BR and WPP were clustered and classified.

The results revealed the highest and lowest customer groups with BR and WPP and empirically demonstrated that highly accurate practical classification models can be applied to determine strategies in line with these findings.

The model proposed in this study offers an integrated approach by using AI and regression analysis together and tries to fill the gap in the literature in this field. Therefore, the novelty of this study is to quantitatively reveal and evaluate the relationship between BR and WPP by using AI classification algorithms and regression analysis together.

This study examines how substantive and/or associative claims about the local origin of organic products moderate the determinants and consequences of a grocery retailer’s corporate social responsibility (CSR).

An experiment with four different conditions – no claim, substantive claim (i.e. number of kilometres), associative claim (i.e. photograph of the producer) and a combination of substantive and associative claims – was carried out in a laboratory store in France with 249 consumers who were randomly divided into four independent samples (a between-subjects design). To analyse the data, partial least squares structural equation modelling was mobilised using XLSTAT (2022) software.

The study indicates that using claims about the local origin of organic products via in-store signage is an appropriate tool for grocery retailers. For the three types of claims considered, the ethics of the offering influences the retailer’s CSR, which has an indirect impact on consumers’ actual purchases of local organic products via two routes: trust and affective commitment and trust and preference for the retailer. However, grocery retailers should favour a combination of substantive and associative claims to create a stronger impact on purchases.

This research extends the use of substantive and associative claims to sustainable products.

The purpose of this study was to investigate the impact of using a jigsaw learning strategy integrated with computer simulation (JLSICS) on the academic achievement and attitudes of students, along with exploring the relationships between them in the process of learning about acids and bases.

The research design used in the study was quasi-experimental, using non-equivalent comparison groups for both pre- and post-tests. A quantitative approach was used to address the research problem, with three groups involved: two experimental and one comparative group. The treatment group, which received the JLSICS intervention, consisted of two intact classes, while the comparison group included one intact class. Data collection involved achievement tests and attitude scale tests on acid and base. Various statistical analyses such as one-way analysis of variance, one-way multivariate analysis of variance, Pearson product-moment correlation, mean and standard deviation were used for data analysis.

The study’s results revealed that the incorporation of the JLSICS had a beneficial influence on the academic achievement and attitudes of grade 10 chemistry students towards acid and base topics. The JLSICS approach proved to be more successful than both conventional methods and the standalone use of the jigsaw learning strategy (JLS) in terms of both achievement and attitudes. The research demonstrated a correlation between positive attitudes towards chemistry among high school students and enhanced achievement in the subject.

The study only focused on one specific aspect of chemistry (acid and base chemistry), which restricts the applicability of the findings to other chemistry topics or subjects. In addition, the study used a quasi-experimental design with a pretest-posttest comparison group, which may introduce variables that could confound the results and restrict causal inferences.

This study addresses the gap in instructional interventions and provides theoretical and practical insights. It emphasizes the importance of incorporating contemporary instructional methods for policymakers, benefiting the government, society and students. By enhancing student achievement, attitudes and critical thinking skills, this approach empowers students to take charge of their learning, fostering deep understanding and analysis. Furthermore, JLSICS aids in grasping abstract chemistry concepts and has the potential to reduce costs associated with purchasing chemicals for schools. This research opens doors for similar studies in different educational settings, offering valuable insights for educators and policymakers.

The originality and value of this study are in its exploration of integrating the jigsaw learning strategy with computer simulations as an instructional approach in chemistry education. This research contributes to the existing literature by showing the effectiveness of JLSICS in improving students’ achievements and attitudes towards acid and base topics. It also emphasizes the importance of fostering positive attitudes towards chemistry to enhance students’ overall achievement in the subject.

This study aims to examine the role of libraries in stimulating access to information concerning environmental justice issues. This study also provides valuable insights into libraries’ contributions to addressing environmental justice concerns and informs strategies for maximizing their impact in this critical area.

In conducting this study the role of academic librarians at the Federal University of Technology Ikot Abasi, Akwa Ibom State, Nigeria, using a descriptive design and qualitative research method. The population for this study consists of academic librarians who were chosen due to their expertise in information access and their potential impact on environmental justice initiatives within the academic community. Data were collected through focus group discussions with the participating academic librarians.

The findings of this study underscore the critical role of addressing information disparities within the context of environmental justice, emphasizing the transformative potential of information access in empowering communities. The analysis reveals a consensus among respondents regarding the multifaceted role of librarians in addressing environmental justice. Librarians are perceived not only as information custodians but also as active contributors to community engagement, awareness and social change. This study identifies both challenges and opportunities for libraries to enhance awareness of environmental justice issues among their patrons. While existing resources related to environmental justice in the library’s collection are generally viewed positively, there is consensus among participants that there is room for improvement. Finally, this study acknowledges gaps in the current collection regarding information on environmental justice. It underscores the need for up-to-date multimedia resources focusing on local issues and representing diverse perspectives.

Collaboration with scholars from diverse fields such as environmental science, sociology and public policy could enrich the understanding of the complex intersections between information access, environmental justice and librarianship.

Librarians have a responsibility to promote information access and environmental justice by curating relevant resources, promoting information literacy, engaging with communities, advocating for change, addressing digital access and equity issues, fostering cultural competence and collaborating with other stakeholders.

This study presents a compelling and forward-thinking perspective that underscores the critical role of librarians in addressing environmental challenges and fostering social equity.

This study aims to examine whether and how the presence of co-opted directors (directors appointed after the incumbent CEO) influences corporate climate risk disclosure.

This study comprehensively analyses 2,975 firm-year observations of US-listed companies, using ordinary least squares with industry and year-fixed effects. To confirm the reliability of the study results, the authors used several techniques, including propensity score matching, to address potential issues with functional form misspecification, analysed a subset of companies where co-option persisted over two consecutive years to mitigate concerns regarding reverse causality and difference-in-differences estimation, using the cheif executive officer’s (CEO’s) sudden death as an exogenous shock to board co-option to mitigate endogeneity concerns.

The findings indicate that the presence of a large number of co-opted directors negatively influences corporate climate risk disclosure. Mediation analysis suggests that managerial risk-taking partially mediates this negative association. Moderation analyses show that the negative impact of co-opted directors on climate risk disclosure is more pronounced in firms with greater linguistic obfuscation, limited external monitoring and in environmentally sensitive industries. Moreover, co-opted directors intentionally withhold or obscure the disclosure of transition climate risks more than physical climate risks.

This research has important implications for policymakers, regulators and corporate governance practitioners in designing board structures by highlighting the adverse impact of co-opted directors in contexts with lax regulatory enforcement and managerial discretion. The authors caution against relying on such directors for providing climate-related risk disclosures, especially in companies with poor external monitors and based in environmental sensitivities, as their placement can significantly undermine transparency and accountability.

This study adds to the existing body of knowledge by highlighting the previously unexplored phenomenon of intentional obscurity in disclosing climate risks by co-opted directors. This research provides novel insights into the interplay between board composition, managerial risk-taking behaviour and climate risk disclosure. The findings of this study have significant implications for policymakers, regulators and corporate governance experts, and may prompt a re-evaluation of strategies for improving climate risk disclosure practices.

This study examines the role of “Professional Directors” and their association with the quality of monitoring outcomes proxied by investment efficiency. “Professional Directors” are board members with no employment outside of serving as independent directors.

We collect data on directors on the board at the fiscal year-end from BoardEx from 2001 to 2019 with a sample of US publicly listed firms. We follow Richardson (2006) to measure the magnitude of abnormal investment, including overinvestment and underinvestment and use these to define investment efficiency.

We find professional directors improve investing efficiency, primarily by reducing overinvestment. Professional directors may generate higher monitoring quality through their financial expertise and CEO experience, making them effective in monitoring investment efficiency.

Our study suggests that a professional board enhances monitoring and advising effectiveness in the face of significant regulatory pressure to increase board diversity.

We use two perspectives: (1) the difference in the proxy variables of monitoring effectiveness and (2) the influence of the background of professional directors, to reasonably explain this challenge. We resolve the puzzle of the inconsistent evidence on the effectiveness of professional directors in the literature.

The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data, present an optimization method for multi-stage cyclic brakes based on the model and conduct a multi-objective detailed evaluation of the driver’s manipulation during cyclic braking.

The high-precision longitudinal train dynamics model was established and verified by the cyclic braking test data of the 20,000 t heavy-haul combination train on the long and steep downgrade. Then the genetic algorithm is employed for optimization subsequent to decoupling multiple cyclic braking procedures, with due consideration of driver operation rules. For evaluation, key manipulation assessments in the scenario are prioritized, supplemented by multi-objective evaluation requirements, and the computational model is employed for detailed evaluation analysis.

Based on the model, experimental data reveal that the probability of longitudinal force error being less than 64.6 kN is approximately 68%, 95% for less than 129.2 kN and 99.7% for less than 193.8 kN. Upon optimizing manipulations during the cyclic braking, the maximum reduction in coupler force spans from 21% ∼ 23.9%. And the evaluation scores imply that a proper elevation of the releasing speed favors safety. A high electric braking force, although beneficial to some extent for energy-saving, is detrimental to reducing coupler force.

The results will provide a theoretical basis and practical guidance for further ensuring the safety and energy-efficient operation of heavy haul trains on long downhill sections and improving the operational quality of heavy-haul trains.

The application of galvanized steel is widespread across industries due to its protective zinc coating that protects against atmospheric corrosion. However, previous studies have primarily focused on long-term corrosion rates rather than the full-scale corrosion behavior of the zinc. This paper aims to study the full-scale corrosion evolution of galvanic steel under simulated marine atmospheric environment using real-time EIS measurement.

Electrochemical impedance spectroscopy (EIS) provides an advanced method in monitoring such behavior. Therefore, the EIS method has been used to conduct a comprehensive investigation on the corrosion behavior of galvanic steel in a full-time manner.

The results indicate that the corrosion process of galvanic steel can be divided into three stages: an initial stage with an increased corrosion rate, a subsequent stage with a reduced corrosion rate, and finally a third stage with the lowest and constant corrosion rate. The evolution of corrosion resistance is closely related to changes in composition and structure of the patina layer. In the initial stage, galvanized steel undergoes the formation of soluble ZnCl₂ and needle-like Zn₅(OH)₈Cl₂·H₂O, which promotes the generation and maintenance of an electrolyte layer, consequently leading to an increase in corrosion rate. With prolonged corrosion time, there is a continuous accumulation of Zn₅(OH)₈Cl₂·H₂O within the patina layer, which reduces the content of soluble components and promotes the development of a denser inner layer, thus enhancing corrosion resistance.

This work holds significance in the monitoring of corrosion, understanding the evolution of corrosion and predicting the lifespan of galvanized steel.

This study aims to examine whether the age and tenure of the chair of the board of directors are related to research and development (R&D) investment in China.

This study uses A-share manufacturing firms that traded on the Shanghai and Shenzhen stock exchange between 2009 and 2018. This study uses OLS regressions, controls for self-selection bias, and uses an instrumental variable to alleviate the concern of endogeneity.

This study finds that chair tenure has a negative relationship with R&D investment. This study does not find a significant relationship between chair age and R&D investment.

This study contributes to corporate governance and strategic management literature by highlighting chair tenure as a new factor affecting R&D investments. It also adds a significant contribution to the limited literature on the chair’s role in strategic decisions. Moreover, companies that are eager to strengthen corporate governance and maintain sustained innovation may reconsider the chair tenure. Given that many proposals for board governance reform explicitly stress the importance of limiting board tenure, this study contributes to policymakers by providing evidence in support of these proposals.

This study examines the impact of board co-option on environmental innovation and the moderating effect of firms’ industrial context, ESG compensation and environmental policy stringency (EPS) on this relationship. Finally, we examine the implications of the board co-option and eco-innovation nexus on the market value of firms.

This study employs the system generalized method of moments (GMM) estimator on a longitudinal panel dataset of the US-listed firms to test the proposed hypotheses. The system GMM findings are substantiated using the entropy balancing method and difference-in-differences (DiD) estimations to better establish causality while addressing endogeneity concerns.

The findings provide evidence that board co-option has a negatively significant relationship with environmental innovation. Further analyses imply that the impact of board co-option on environmental innovation is positively significant among firms operating in environmentally sensitive industries, with ESG compensation for executives, and those operating in environments characterized by high environmental policy stringency. Taken together, these results suggest that industrial context, ESG compensation and environmental policy stringency moderate the impact of board co-option on environmental innovation. The results also reveal that more environmentally innovative firms attain greater market valuation when the board is co-opted.

This study is a novel attempt to contribute to the debate on board composition and its impact on corporate environmental innovation. It complements the existing literature on sustainability governance and accounting by providing an understanding of the impact of board co-option on corporate environmental innovation and highlights the role of regulatory pressure, industrial context and executive compensation structure in shaping this relationship. The findings offer valuable insights for academics, senior management and policymakers.