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We attempt to construct a grey three-way conflict analysis model with constraints to deal with correlated conflict problems with uncertain information.

In order to address these correlated conflict problems with uncertain information, considering the interactive influence and mutual restraints among agents and portraying their attitudes toward the conflict issues, we utilize grey numbers and three-way decisions to propose a grey three-way conflict analysis model with constraints. Firstly, based on the collected information, we introduced grey theory, calculated the degree of conflict between agents and then analyzed the conflict alliance based on the three-way decision theory. Finally, we designed a feedback mechanism to identify key agents and key conflict issues. A case verifies the effectiveness and practicability of the proposed model.

The results show that the proposed model can portray their attitudes toward conflict issues and effectively extract conflict-related information.

By employing this approach, we can provide the answers to Deja’s fundamental questions regarding Pawlak’s conflict analysis: “what are the underlying causes of conflict?” and “how can a viable consensus strategy be identified?”

The purpose of this study was to examine the relationship between environmental pressure, green logistics strategy (GLS) and sustainability performance as well as the moderating role of competitive intensity in the relationship between environmental pressure and GLS in the context of the Ghanaian Manufacturing firms.

The study included a thorough review of the literature and an empirical questionnaire-based data collection with responses from 220 participant manufacturing firms in Ghana. The data collected was statistically analysed using the PLS-SEM software.

The findings of the study indicated that environmental pressure positively influences the implementation of GLS. Again, it was revealed that there is a significant relationship between GLS and sustainability performance. Likewise, the study also found that environmental pressure significantly influences sustainability performance. Also, competitive intensity was found to moderate the relationship between environmental pressure and GLS.

This study gives insight into GLS and sustainability performance and also suggested that when managers in manufacturing industries adopt green practices as a result of environmental pressure, sustainability performance will be achieved. The geographic scope of the study area and time constraints were some of the research's limitations.

Although there have been studies carried out on the subject of green logistics, this study is the first of its kind to examine the relationship between environmental pressure, GLS and sustainability performance within the context of developing economies such as Ghana. Also, this study shows how intense competition in the market can moderate the adoption of GLS.

Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and enterprises must solve. Accurately identifying the “strangled” problem will help China accelerate the realization of high-level scientific and technological self-reliance and win the battle against key core technologies.

Combined with the characteristics of key core technologies, the key core technology evaluation system was constructed from four dimensions: technology innovation, technology radiation, technology economy and technology safety. We adopt the entropy TOPSIS method to evaluate the patents, and the patents with the top 5% scores are identified as key core technology patents. Then, this study identifies key core technology “strangled” problems in three dimensions: technology value advantage, competitive advantage and quantitative advantage.

Taking the patent data of the global new generation information technology industry from 2011 to 2023 as a sample, 178 moderately “strangled” technologies and 49 severely “strangled” technologies are selected. The study results are consistent with the current situation of the new generation information technology industry’s development, and verify the feasibility and reliability of the key core technology “strangled” problem identification model.

This study uses patent data to identify key core technologies and “Strangled” in the new generation information technology industry. It can provide a reference for relevant national departments and agencies, as well as universities and enterprises.

We explore the design risk factors and associated managerial practices driving collaborative risk management for design efficacy in green building projects. By illuminating project design risk as an important project risk category in its own right, the study contributes to our understanding of optimising design efficacies for collaborative project risk management.

The study comprises exploratory interviews conducted with 27 industry project practitioners involved in the design and delivery/implementation of Green Star-certified building projects in South Africa.

The findings discursively highlight seven sources of design risk. We also identify seven specific collaborative risk management practices for design efficacy emerging from a consideration of how risk environments vary in the Green Star-certified projects, each with its own project design risk implications.

The study advances our understanding of how collaborations emerging from particular relational yet context-specific practices can be optimised to strengthen project risk management.

This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to find the indirect effects of how GHRM promotes EGB through sequentially mediating employee environmental knowledge management (EEKM) (environmental knowledge and knowledge sharing) and green self-efficacy (GSE).

For the empirical study, the researcher uses partial least squares structural equation modeling to test the proposed conceptual model built on existing literature for greening workplaces in the university in Bangladesh. The study has collected data from 288 Bangladeshi university employees using convenient sampling.

The findings that GHRM practices positively and significantly promote EGB, which captures the employee's tendencies to exercise green behavior in daily routine activities such as turning off lights, air conditioning, computers and equipment after working hours, printing on both sides, recycling (reducing, repair, reuse), disseminating good green ideas, concepts, digital skills and knowledge to peers and champion green initiatives at work. Moreover, the findings also revealed the sequential mediation of EEKM (environmental knowledge and knowledge sharing) and GSE of employees between the link GHRM and EGB. At last, the findings suggested that HR managers can implement the GHRM practices to promote green behaviors among the academic and non-academic staff of the university.

This study contributes to the field by extending knowledge of Social Cognition Theory and Social Learning Theory for greening workplaces in Bangladesh, particularly universities. Specifically, this empirical study is unique to the best of our knowledge and highlights the role of EEKM and GSE as mediation between GHRM and EGB association.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

The present study seeks to assess the effect of Green Human Resource Management (GHRM) on the Sustainable Performance (SP) of wineries as well as to explore the mediating role of Green Innovation (GI) in this respect. In addition, age, size and Protected Designation of Origin (PDO) membership are incorporated as control variables to increase the precision of the cause-effect relationships examined.

A conceptual model was created in order to fulfill the targeted research goals and then validated through PLS-SEM with primary data obtained from a survey administered to 196 Spanish wineries, taking place between September 2022 and January 2023.

The study findings indicate that GHRM has a positive and significant impact on the SP of wineries. In addition, GI appears to partially mediate this relationship.

This study is justified by various grounds for its originality. First, there is a lack of prior research examining the impact of GHRM practices in the wine industry, making this study a unique opportunity to explore and leverage existing knowledge in the fields of environmental management and human resources in order to generate new insights on the topic. Second, the academic literature analyzing this particular construct is scarce, underscoring the aim of this research to contribute to the accumulation of relevant knowledge in this area. Third, GHRM serves to elucidate the mechanisms through which valuable personnel can be attracted and retained in wineries within the post-COVID context.

With an emphasis on the moderating impact of trust, this study examines determinants influencing the purchase intentions of young consumers in augmented reality (AR) shopping platforms. This research study aims to pinpoint essential elements, including the enjoyment dimensions (i.e. entertainment, visual appeal and hedonic component) and practicality dimensions [i.e. informativeness, navigation and perceived usefulness (PU)], that are imperative in influencing young consumers’ purchase intentions in AR-based shopping platforms.

The present study used a quantitative approach grounded in the stimulus-organism-response model and the extended technology acceptance model, which analysed purchase intention among the youth using AR shopping platforms. One hundred seventy-two samples were gathered through self-administered questionnaires and underwent partial least squares structural equation modelling analysis to predict the relationships between the proposed variables.

The results of the current study suggested the independent variables (e.g. entertainment, visual appeal, informativeness and navigation) had a significant impact on hedonic components and PU. Furthermore, both hedonic components and PU had a significant and positive influence on purchase intention. Nevertheless, it is noteworthy that hedonic components and PU in relation to purchase intention were not moderated by trust.

The developed research framework is significant for understanding the perceptions of shopping behaviour among young consumers in the Borneo region of Malaysia. This is one of the few studies that explored the interplay between enjoyment and practicality’s dimensions on purchase intention via AR shopping platforms in the less explored region of Malaysia. Hence, this study plays a pivotal role in contributing to the existing marketing and technology management literature. Moreover, it holds practical importance for business operators and marketers as it aids in decision-making and strategic planning for the future direction of businesses in the young consumer market.

Since the implementation of the regulatory inquiry system, research on its impact on information disclosure in the capital market has been increasing. This article focuses on a specific area of study using Chinese annual report inquiry letters as the basis. From a text mining perspective, we explore whether the textual information contained in these inquiry letters can help predict financial restatement behavior of the inquired companies.

Python was used to process the data, nonparametric tests were conducted for hypothesis testing and indicator selection, and six machine learning models were employed to predict financial restatements.

Some text feature indicators in the models that exhibit significant differences are useful for predicting financial restatements, particularly the proportion of formal positive words and stopwords, readability, total word count and certain textual topics. Securities regulatory authorities are increasingly focusing on the accounting and financial aspects of companies' annual reports.

This study explores the textual information in annual report inquiry letters, which can provide insights for other scholars into research methods and content. Besides, it can assist with decision making for participants in the capital market.

We use information technology to study the textual information in annual report inquiry letters and apply it to forecast financial restatements, which enriches the research in the field of regulatory inquiries.

This study explores the deep integration of digital technology and cultural heritage to promote the preservation and inheritance of cultural heritage. Focusing on Digital Cultural Heritage (DCH), this research investigates its key role in activating theoretical research and practical applications in cultural heritage.

This study conducted an extensive bibliometric analysis utilizing VOSviewer and Bibliometrix visualization software to meticulously examine DCH research. Insights were gleaned from a dataset comprising 2,997 DCH-related publications harvested from the Web of Science database.

The bibliometric analysis reveals several notable findings: driven by active contributions from Italy, China, Spain, and the USA, the number of DCH publications shows a linear upward trend. Consiglio Nazionale delle Ricerche in Italy emerges as a prominent institution, while the Journal of Cultural Heritage stands out as the most influential journal in the DCH field. Scholars such as Remondino, Guidi, Barazzetti, and Carrozzino have significantly impacted DCH research. Furthermore, an in-depth analysis of keyword co-occurrence networks elucidates six major research trajectories in the DCH field, covering various aspects from cultural heritage digitization to digital humanities.

The study emphasizes the value of global knowledge exchange, interdisciplinary collaboration, innovative technology applications, and digital content provision practices in advancing DCH research.

By delving into the multifaceted landscape of DCH research, this study brings forth original insights into the escalating trends, pivotal contributors, and burgeoning research directions.