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This study aims to examine the relationship between environmental, social and governance (ESG) disclosure, firm risk and stock market returns within the Chinese energy sector. Using a variety of econometric techniques, the study seeks to uncover the impact of ESG disclosure on risk mitigation and its influence on stock market performance.

Benchmark regression models were used to explore the associations between ESG disclosure, firm risk and stock returns. To address potential endogeneity, a generalised method of moments estimator is used. Quantile regression was used for robustness analysis.

The study reveals a negative relationship between ESG disclosure and firm risk, indicating that companies with greater ESG disclosure tend to experience reduced risk exposure. In addition, a positive association is observed between ESG disclosure and stock market returns, suggesting that companies with more comprehensive ESG disclosure practices tend to perform better in the stock market.

This study implies that investors appreciate sustainable investment and incorporate ESG practices and disclosure in decision-making. Policymakers can promote transparent ESG reporting through regulatory frameworks, fostering sustainable practices in the energy sector.

Despite the mounting concerns over carbon dioxide emissions and the energy industry’s environmental footprint, this study pioneers a comprehensive analysis of ESG disclosure within this critical sector. Delving into the relationship of ESG practices, firm risk and market returns, this research uniquely examines both risk mitigation and return enhancement, shedding new light on sustainable strategies in the energy domain.

This paper examines the mediation role of green innovation in the relationship between corporate social responsibility and environmental performance of manufacturing firms in Ghana.

The paper chose African emerging markets and surveyed managers from manufacturing firms. With 301 questionnaires qualified for this study’s final analyses, the authors adopt the multiple regression with mediation models to estimates the nexus among study variables.

Results evidence that both corporate social responsibility and green innovation has a positive and significant impact on environmental performance. Interestingly, the authors find that corporate social responsibility significantly improves environmental performance through green innovation indicating that firms could essentially build their dynamic resource and innovation capabilities in sustainability leading to enhanced environmental performance.

This paper develops a dynamic resource-based view of firm environmental performance illustrating how firms use resources to build strategic capabilities for competitive advantage, which leads to improved environmental performance. The paper highlights the mediation role of green innovation on corporate social responsibility and environmental performance relationships.

This study's results provide significant insights to owners and managers of manufacturing companies to integrate corporate social responsibility and green innovation to ensure environmental performance and sustainability. Furthermore, policy makers should encourage green innovation when design sustainable development systems in the manufacturing industry.

The paper provides a valuable model showing how green innovation mediates corporate social responsibility to improve environmental performance and build competitive advantages considering both small, medium, and large manufacturing enterprises in emerging countries.

The purpose of this paper is to report on a three‐year PMI2 project for the British Council in 2008, one of seven to develop and strengthen partnerships with Chinese institutions in employability and entrepreneurship. Involving a partnership between Leeds Metropolitan University England and the Zhejiang University of Technology Hangzhou, China, the aim has been to analyse the Hangzhou and Zhejiang economies and examine current Chinese company requirements for skills and talent and their implications for teaching and learning and graduate supply. This was intended to strengthen the existing partnerships at a civic level between Leeds and Hangzhou and the successful MA in Trade and Finance run by the two universities.

The paper draws on preliminary interview studies in China of Hangzhou companies in different industrial sectors to analyse the skill and talent needs of such companies, their demands for graduate talent in particular and their views about the adequacy of the supply of that talent from local and national universities.

The paper clarifies the relationship between talent demand and supply in China, especially with regard to graduate talent, and presents an original analysis of the skill needs of the Hangzhou economy.

The paper suggests ways in which universities in Zhejiang and China generally could strengthen their engagement with businesses over talent demand and supply, and how they could develop courses and programmes that more effectively bridge the gap between universities and businesses.

Repeat customers play an important role in the restaurant sector. Previous studies have confirmed the positive effect of managerial responses on customer relationship management. However, the practice of managerial response strategies toward repeat customers in the restaurant sector remains unclear. This study aims to explore how social influence and the revisit intention of customers affect the responding behavior of restaurant managers.

This study collects information of 251,944 customer reviews and managerial responses from 1,272 restaurants on Yelp (a leading restaurant review website around the world) and builds four econometric models (with restaurant and month fixed effects) to test the hypotheses empirically.

The empirical results show that restaurant managers are less likely to respond to reviews posted by repeat customers (10% lower than that of new customers). This effect is moderated by customer social influence, which entails that repeat customers with great social influence are more likely to receive managerial responses. Moreover, reviews from repeat customers who have had a longer time since their last consumption are also more likely to receive managerial responses.

The results present implications for restaurant managers in business practice regarding managerial response. Managers should take advantage of platform designs and tools (i.e. customer relationship management programs to keep track of repeat customers) to locate repeat customers and avoid the potential negative effects caused by their selected response strategies.

To the best of the authors’ knowledge, this study is among the first attempts to examine empirically how restaurant managers respond to reviews generated by repeat customers in real business practice and reveals what drives such activities from the perspectives of social influence and revisit intention.

This study aims to examine the effect of independent directors on the corporate social responsibility (CSR) gap – a misalignment between internal and external CSR. More specifically, the authors investigate how two types of independent directors (i.e. politically connected and foreign) affect a firm’s CSR gap in China.

The authors use the fixed-effects regression model to analyze the panel dataset, which is conducted by a sample of Chinese publicly listed firms from 2008 to 2015.

The findings indicate that, on average, firms undertake more external than internal CSR actions. Importantly, the authors find that firms having politically connected independent directors on boards have a wider gap between their internal and external CSR. In contrast, firms having foreign independent directors on boards have a narrower gap between their internal and external CSR.

This study provides insights into the role of independent directors in increasing or decreasing the gap between a firm’s internal and external CSR actions, which offers important implications for policymakers and investors.

This study extends the literature on the causes of the CSR gap and deepens the theoretical understanding of the governance role of independent directors in China.

Aiming at the key issue of interpersonal interaction process between successors and top management teams in the context of family business trans-generational entrepreneurship, this paper aims to explore the motivation, action and results of interpersonal conflict between these two subjects mentioned above.

This paper uses grounded theoretical research methods based on the research objects of three family businesses with both inheritance and transformation needs.

Motivation difference, mediation mode and relationship utilization, that is, the successor and top management team take the goal-orientation, interest orientation and rational tendency as the starting point for relationship coordination. Then it mediates the interpersonal conflicts through compromise, collaboration and compliance, and ultimately provide successors with resources, opportunities, capabilities and motivation advantages to promote trans-generational entrepreneurship. Second, the path of relationship coordination comes from the background of social embedding, that is, the motivation difference comes from the embedding of motivation seeking, the mediation mode comes from the embedding of mediation elements and the relationship utilization comes from the embedding of relationship optimization. The research conclusions not only provide a theoretical framework for family businesses to solve the problems of interpersonal conflicts faced by family businesses but also have practical guiding significance for the trans-generational entrepreneurship.

There are two theoretical contributions in this study. First, the research starting point of social embeddedness theory from the perspective of interpersonal relationships at the microlevel is revised. Since Granovetter (Granovetter, 1985) put forward the theory of social embeddedness, its research scope has been gradually expanded, but the mainstream research in the past focused on analyzing the social network embeddedness of enterprises to obtain social capital from the macro- and meso-level (Nahapiet and Ghoshal, 1998). In fact, this may deviate from the essential interpretation of Granovetter’s theory of social embeddedness, while this study returns to the study of interpersonal relationships. Second, a theoretical model of relationship coordination for successors and top management team is put forward in general. On the basis of the motivation, action and result of interpersonal interaction between the successor and top management team, the interpersonal coordination action path and embedded logic during trans-generational entrepreneurship of family businesses are revealed, which enriched the research scope of social embedded theory in family business.

This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.

The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC) performance. Some of these improvements to the SC include the reduction of the bullwhip effect and increased customer and SC partner benefits. The authors propose a fully collaborative replenishment model. The study details the information flow required to implement new SC collaboration strategies, clarifying a specific strategy for information sharing involving inventory levels (on hand, in process, etc.), orders and demand forecast.

The authors suggest the adoption of business process modelling (BPM) methodology, aimed at identifying which information should be shared by SC partners, in order to create fully collaborative strategies.

The features of BPM allow for the effortless integration of the modelled information collaboration strategies into a general network information system, creating a flexible structure that can be quickly and even automatically adapted to new conditions.

In this paper, a serial SC has been analysed, but enterprises also commonly manage more complex kind of chains. Chains composed of more than one member in the same echelon, divergent chains, convergent chains, network chains are all different configurations that require their own algorithm. The authors use the order up to policy, but there are other policies that can be considered to extend the scope of the model.

BPM, specifically through Unified Modelling Language (UML) and Business Process Modelling Notation standards, represents a suitable technique to develop and implement new SC collaboration practices, serving as a communication link between managers and software developers.

The expected results of this work imply the proposal of a reference model for collaborative supply chain (CSC) organisations, contributing to the enhancement of value creation for the whole CSC.

The aim of this paper is to clarify the information-sharing algorithm required to implement a collaborative structure for an SC. This algorithm is expressed using the BPM technique, specifically UML and Business Process Model and Notation standards.

Este documento propone y modela estrategias de colaboración y habilitación de intercambio de información, diseñadas para lograr mejoras significativas en el rendimiento de la cadena de suministro (SC). Algunas de estas mejoras incluyen la reducción del efecto látigo y mayores beneficios para los clientes y socios de la cadena de suministro. Proponemos un modelo de reabastecimiento totalmente colaborativo. El estudio detalla el flujo de información requerido para implementar nuevas estrategias de colaboración en la cadena de suministro, aclarando una estrategia específica para el intercambio de información que involucra niveles de inventario (en mano, en proceso, etc.), pedidos y previsión de la demanda.

Sugerimos la adopción de la metodología de Modelado de Procesos de Negocio, dirigida a identificar qué información debe ser compartida por los socios de la cadena de suministro, a fin de crear estrategias totalmente colaborativas.

las características del Modelado de Procesos de Negocio permiten la integración, sin un excesivo esfuerzo, de las estrategias de colaboración modeladas en un sistema de información general, creando una estructura flexible que puede adaptarse rápida e incluso automáticamente a las nuevas condiciones.

en este documento, se ha analizado una cadena de suministro en serie, sin embargo las empresas también suelen administrar cadenas más complejas. Cadenas compuestas de más de un miembro en el mismo escalón, cadenas divergentes, cadenas convergentes, cadenas de red, son todas configuraciones diferentes que requieren su propio algoritmo. Igualmente, en este artículo usamos la política de pedido “order up to” aunque también existen otras políticas que se pueden considerar para ampliar el alcance del modelo.

el modelado de procesos BPM, específicamente a través del Lenguaje Unificado de Modelado (UML) y estándares para la notación de Modelado de Procesos de Negocio (BPMN), representa una técnica adecuada para desarrollar e implementar nuevas prácticas de colaboración de cadena de suministro, que sirve como un enlace de comunicación entre los gerentes y los desarrolladores de software.

los resultados esperados de este trabajo implican la propuesta de un modelo de referencia para la colaboración de las organizaciones de la cadena de suministro, contribuyendo a la mejora de la creación de valor para toda la cadena de suministro colaborativa.

el objetivo de este documento es aclarar el algoritmo de intercambio de información requerido para implementar una estructura colaborativa para una cadena de suministro. Este algoritmo se expresa utilizando la técnica BPM, específicamente a través de los estándares UML y BPMN.

The purpose of this paper is to identify the causal effect of high-speed railways (HSRs) and investigate the affecting channels; the second purpose is to examine how HSRs change the distribution of economic activity across cities and sectors.

A difference-in-difference strategy is implemented to estimate the impact of recently built HSRs on local economic performance in China, exploiting the geography and time variations in HSR operations.

Using panel data from China’s City Statistical Yearbook 2001–2019, the authors find that HSRs lead to a significant increase in cities’ gross domestic product (GDP) and GDP per capita, but the authors do not find any significant change in GDP growth. This conclusion still holds true after the authors address the endogeneity problems. A mechanism analysis shows that HSRs improve local economic performance mainly by increasing fixed asset investment. The authors also find that the HSR investment is a policy that favors metropolitan areas due to the larger increase in the GDP for larger cities and with HSRs, the industrial and service sectors will further agglomerate in larger cities.

The authors contribute to the literature in several ways. First, this paper improves the estimation strategy in identifying the HSR impact on the local economic performance. Second, this paper investigates the affecting channels of HSRs. This paper proves that HSRs in China promote the cities’ economic performance mainly by increasing the fixed asset investment. Third, this study provides evidence for the new economic geography models pioneered by Krugman (1991).