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The study aims to draw on the self-congruity theory to investigate the relationship among destination personality (DP), self-congruity and tourists’ pro-environmental behavioral intention (BI) among Guangzhou citizens who have experienced nature-based tourism (NBT).

The survey-based quantitative research was divided into two rounds, namely, a preliminary study exploring the dimensions of DP and the verification of whether the DP dimensions that significantly affect pro-environmental BI in step one would be selected for the main research to validate the conceptual model.

The results suggest that wholesome, one of the destination personalities, strongly predicts tourists’ pro-environmental BI, while actual self-congruity plays a mediating role between sincere, another DP, and tourists’ pro-environmental BI.

In practice, it offers multidimensional knowledge and robust evidence-based recommendations for the sustainable development and destination branding of NBT destinations in the post-epidemic era.

The study presents pioneering work that reveals previously underestimated factors influencing pro-environmental BI.

This paper aims to provide a framework regarding Information Technology (IT) Flexibility in Supply Chain and its relationship with the benefits we could see from Enterprise Resource Planning (ERP) systems. Furthermore, this research explores the moderating effect of Process Integration Capability in the relationship between IT flexibility and ERP benefits.

This research model will help organizations get additional benefits from their ERP systems that incurred huge costs, time and multiple resources at their implementation. The technique used for analyzing data is structural equation modeling (SEM), and data is collected from 107 respondents through a questionnaire from Business and IT Professionals.

The study findings reveal a positive and significant relationship between IT flexibility and ERP systems benefits; moreover, results also confirmed that the organization's process integration capability significantly increased the benefits of ERP systems. The findings also highlight empirical evidence about the significance of the top-to-bottom approach investing in IT flexibility and the bottom-to-top approach during the implementation of IT systems for successful implementations.

This study has various implications for practitioners that help them successfully implement and long-term viability of their IT infrastructure.

This study's findings will help IT managers and strategists make effective decisions for creating IT flexibility in alignment with the strategic goals to realize the desired results expected from ERP systems and implementations of new IT systems.

This paper aims to analyze the role and advantages of knowledge resources in the carbon emission reduction of the industrial chain, and how it can be used to promote the carbon emission reduction of the industrial chain, so that the industry can better achieve the saving of energy and the reduction of emission.

This paper argues that the traditional resource-plundering industrial chain production method can no longer meet the needs of sustainable development of the green and low-carbon industrial chain, and builds the coupling and coordination of knowledge technology innovation drive and industrial chain carbon emission reduction mechanism, in the four dimensions of industrial chain organization, government support, internet support and staff brainstorming, put forward suggestions for knowledge resources to drive carbon emission reduction in the industrial chain.

This paper holds that the use of knowledge resource advantages can better help industrial chain enterprises to carry out technological innovation, knowledge resource digital platform construction, knowledge resource overflow and transfer, application and management of network information technology, so as to reduce carbon emission in industrial chain.

This paper contributes to the discussion about the high-quality implementation of the revitalization strategy of the industrial chain and also deepens research on the knowledge resource-driven carbon emission reduction of the industrial chain. Further, this paper enriches the role of knowledge resources in the industrial industry, and the theoretical results support the advantages of knowledge resource in the field of chain carbon emission reduction.

In the increasingly competitive leisure food market, Lyfen has become a well-known leisure food brand in Shanghai after long-term independent operation. Insisting on chain retail specializing in various kinds of leisure food, Lyfen captures the consumption habits of consumers, timely launches new products in line with consumers' preferences, and leads the consumption trend. Its main competitors include other leading enterprises in China's leisure food chain industry, such as Three Squirrels, BESTORE and Baiweilin. The company's products are mainly divided into nine categories, totaling more than 900 special products. Some products under Lyfen's name have established good reputation in East China. Regarding business model, Lyfen has devoted its full energy to the construction of brand and channel, and created a unique asset-light model, which mainly involves sourcing and sales two chains.

Based on the attention-based view (ABV), this study examines the mechanism of external pressure and internal managerial interpretation affecting the promotion of green entrepreneurial orientation (GEO) of agricultural enterprises.

Based on data collected from 208 agricultural enterprises in China, the conceptual model was tested by using hierarchical regression.

The results show that managerial interpretation can affect the promotion of GEO. Command and control regulation, market-based regulation and green market pressure are important external pressures that affect the promotion of GEO. In addition, managerial interpretation mediates the relationship between command and control regulation and GEO, market-based regulation and GEO, as well as green market pressure and GEO.

This study proposes a key path for promoting the adoption and implementation of GEO by agricultural enterprises. The research results provide experience for emerging and developing countries to promote the GEO of agricultural enterprises, which is helpful to alleviate the environmental problems caused by the development of agricultural enterprises.

For the first time, this study introduced the ABV into the research of GEO. The research results enrich the theoretical perspective of GEO and expand the research field of the ABV. In addition, this study fills the research gap that existing research has not paid enough attention to the internal driving factors of GEO and opens the black box between the external pressure and GEO.

This study aims to develop a moderated mediation model that enables the examination of the direct relationship between brand orientation (BO) and export performance, the mediating effects of external and internal branding capabilities on the BO-export performance link, and the moderating influence of institutional environment, i.e. regulatory turbulence and policy support.

A time-lag primary data was collected from two-wave survey of 684 cross-industry exporting small and medium-sized enterprises (SMEs) using an online-email based survey technique, and the research model was validated using ordinary least squares regression analysis in SPSSV.27 and Hayes’ PROCESS macroV.2.13.

Regression findings indicate that the relationship between BO and export performance is not direct, but rather mediated by means of both external and internal branding capabilities. It further helps to uncover the dual role of institutional environment, with regulatory turbulence weakening and policy support strengthening the indirect influences of BO on export performance via external and internal branding capabilities.

This study advances branding literature by conceptualizing and empirically testing the role of BO associated with internal and external branding capabilities and, subsequently, with export performance.

The research findings indicate that brand-oriented SMEs must actively engage in the development of branding capabilities to improve their export performance.

While brand creation is essential for the success and growth of SMEs competing in the worldwide marketplaces, there is a dearth of research explaining the underlying mechanisms and boundary conditions through which BO influences export performance.

This study explores the factors that characterize the logistics service quality (LSQ) of cross-border e-commerce and identifies the different relationships between these factors with respect to customer satisfaction.

The study applied a two-stage mixed-methods design. The first stage (Stage 1) was a qualitative study of 3,000 reviews from the Amazon China e-commerce platform. The second stage (Stage 2) included a quantitative study that analyzed survey data from 590 Chinese cross-border e-commerce customers using the Kano model.

Stage 1 involved developing a conceptual framework for the LSQ of cross-border e-commerce, including six dimensions: timeliness, safety, reliability, economy, personnel contact quality and information quality. In Stage 2, the study found that only reliability and personnel contact quality indicators are linearly related to customer satisfaction. Timeliness and the safety of packaging greatly contribute to customer satisfaction, but do not cause dissatisfaction when unfulfilled. Economics and information quality indicators, and the safety of goods, are basic requirements that tend to provoke customer dissatisfaction when unmet, but do not increase customer satisfaction when they are met.

This study is one of the first to construct a conceptual model of LSQ that applies to cross-border e-commerce and to identify the instrumental nature of various LSQ attributes and their impact on improved customer satisfaction.

This study explores the influence of informal “psychological contracts” (PCs), (as opposed to formal contractual relationships) on exporter–distributor relationships.

Data were obtained from a sample of 127 exporting small and medium-sized enterprises (SMEs) in New Zealand. The authors employed partial least squares structural equation modeling (PLS-SEM) for analyzing the measurement and structural models.

Psychological contract fulfillment (PCF) enhances affective commitment and calculative commitment. Moreover, affective and calculative commitments mediate the relationship between PCF and export venture performance (EVP). The authors also find that institutional distance (ID) weakens the relationship between PCF and both affective and calculative commitment. Additionally, ID moderates the strength of the mediating mechanism for affective commitment; thus, the authors present a moderated-mediation model.

To date, international relationship marketing (IRM) literature has focused on PC breach, and business-to-business (B2B) marketing literature has focused on the effects of PCs on affective/relational commitment. This study offers novel insights by demonstrating the positive indirect effect of PCF on EVP via the mediating variables – affective and calculative commitment. The authors' findings also present a conditioning role of ID on the micro-level relationships of PCs.

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide opportunities for transforming the manufacturing industry from traditional manufacturing to intelligent manufacturing. However, little research currently focuses on analyzing the influencing factors of intelligent development in this field. There is a lack of research from the perspective of the digital innovation ecosystem to explore the intrinsic mechanism that drives intelligent development. Therefore, this article starts with high-end equipment manufacturing enterprises as the research subject to explore how their digital innovation ecosystem promotes the effectiveness of enterprise intelligent development, providing theoretical support and policy guidance for enterprises to achieve intelligent development at the current stage.

This article constructs a logical framework for the digital innovation ecosystem using a “three-layer core-periphery” structure, collects data using crawling for subsequent indicator measurement and assessment and uses the fuzzy set Qualitative Comparative Analysis method (fsQCA) to explore how the various components of the digital innovation ecosystem in high-end equipment manufacturing enterprises work together to promote the development of enterprise intelligently.

This article finds that the various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises, through mutual coordination, can help improve the level of enterprise intelligence. Empirical analysis shows four specific configuration implementation paths for the digital innovation ecosystem of high-end equipment manufacturing enterprises to promote intelligent development. The core conditions and their combinations that affect the intelligent development of enterprises differ in each configuration path.

Firstly, this article discusses the practical problems of intelligent transformation and development in the manufacturing industry and focuses on the intelligent development effectiveness of various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises in the context of digitalization. Secondly, this article uses crawling, text sentiment analysis and other methods to creatively collect relevant data to overcome the research dilemma of being limited to theoretical analysis due to the difficulty in obtaining data in this field. At the same time, based on the characteristics of high-end equipment manufacturing enterprises, the “three-layer core-periphery” digital innovation ecosystem framework constructed in this article helps to gain a deep understanding of the development characteristics of the industry's enterprises, provides specific indicator analysis for their intelligent development, opening the “black box” of intelligent development in the industry's enterprises and bridging the gap between theory and practice. Finally, this study uses the fsQCA research method of configuration analysis to explore the complexity of the antecedents and investigate the combined effects of multiple factors on intelligent development, providing new perspectives and rich research results for relevant literature on the intelligent development of high-end equipment manufacturing enterprises.

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.