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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?”

This paper aims to identify different combinations of causal conditions (celebrity attributes) that explain our outcome: destination image. More specifically, three main research questions guide our work: (1) Which attributes should an outstanding sportsperson have to enhance the image of his/her country as a destination image? (2) Are these the same for different product categories? (3) Do tourists and residents differ?

To this end, the fuzzy-set Qualitative Comparative Analysis (fsQCA) was used with a sample of 187 participants (105 tourists and 82 residents).

Results show that some attributes of a sports celebrity are more critical than others in enhancing destination image. Those attributes of sports celebrities appearing in the intermediate and parsimonious analysis should be prioritized. This is the case of trustworthiness. Second, experience is a peripheral requirement (only appeared in the intermediate analysis). Third, attractiveness is unnecessary and an even and undesired attribute in many solutions. Fourth, when comparing tourists and residents, both groups value the role of football players, while residents also appreciate the role of marathon runners. Tennis players are the less relevant sports celebrities to build Spain’s destination image.

First, a new statistical analysis in the marketing discipline, QCA, has been used. The use of qualitative approaches to investigate destination images has been scarce. Second, the study of the role of sports celebrity endorsement on brand–place attachment has yet to be investigated. Third, studies about the role of residents in the image of a tourism destination/city are scarce. Tourists and residents must be investigated because they can benefit from sports celebrities' activities.

This study aims to investigate the manufacturing reshoring decision-making content from an Eclectic Paradigm perspective.

Data were collected through a six-step systematic literature review on factors influencing manufacturing reshoring decision-making. The review is based on 100 peer-reviewed journal papers discussing reshoring decision-making contents published from 2009 to 2022.

In total, 80 decision factors were extracted and then categorized into resource-seeking (8%), market-seeking (11%), efficiency-seeking (41%) and strategic asset-seeking (16%) advantages. Additionally, 24% of these were identified as hybrid, which means that they were classified into multiple categories. Some decision factors were further identified as reshoring influencing factors (i.e. drivers, enablers and barriers).

Scholars need to consider what other theories can be used or developed to identify and evaluate the decision factors (determinants) of manufacturing reshoring as well as how currently adopted theory can be further advanced to create clearer and comprehensive theoretical frameworks.

This research underscores the importance of developing clearer and more comprehensive theoretical frameworks. For practitioners, understanding the multifaceted nature of decision factors could enhance strategic decision-making regarding reshoring initiatives.

To the best of the authors’ knowledge, this is the first study to investigate the value and practicality of the Eclectic Paradigm in categorizing factors in manufacturing reshoring decision-making content and presents in-depth theoretical classifications. In addition, it bridges the gap between decision factors and influencing factors in the decision-making content research realm.

This study aims to obtain governance strategies for managing the complexity of megaprojects by analyzing the impact of individual factors and their configurations using the fuzzy-set qualitative comparative analysis (fsQCA) method and to provide references for project managers.

With the continuous development of the economy, society and construction industry, the number and scale of megaprojects are increasing, and the complexity is becoming serious. Based on the relevant literature, the factors affecting the complexity of megaprojects are determined through case analysis, and the paths of factors affecting the complexity are constructed for megaprojects. Then, the fsQCA method is used to analyze the factors affecting the complexity of megaprojects through 245 valid questionnaires from project engineers in this study.

The results support the correlation between the complexity factors of megaprojects, with six histological paths leading to high complexity and seven histological paths leading to low complexity.

It breaks the limitations of the traditional project complexity field through a “configuration perspective” and concludes that megaproject complexity is a synergistic effect of multiple factors. The study is important for enriching the theory of megaproject complexity and providing complexity governance strategies for managers in megaproject decision-making.

Organizations are faced with increasing pressure to engage in sustainable development. There is an ongoing discussion on how to incorporate green thinking into lean management systems. This study aims to investigate configurations of lean and green supply chain management (GSCM) practices associated with high environmental performance.

The study uses survey data from a sample of Portuguese manufacturing firms and apply fuzzy-set qualitative comparative analysis to examine the data. This configurational technique allows to capture the synergetic effect of lean and GSCM practices and identify distinct combinations leading to the outcome of interest.

Seven configurations of lean and green practices are associated with high environmental performance. The implementation of lean practices is required in all configurations. Analysis of alternative combinations reveals trade-offs between lean initiatives and environmental goals. Four configurations require low level of implementation of pull production. In one configuration, high environmental performance is achieved with low implementation of statistical process control and without lean employee involvement.

This study expands the literature on lean management by identifying different strategies to integrate lean and GSCM practices to achieve high environmental performance.

The findings suggest different strategies to achieve high environmental performance. Managers need to selectively implement lean and green supply chain practices to achieve the desired combinatorial effect, which may require not to implement specific lean practices.

The study demonstrates the synergetic effects of lean and green practices on environmental performance using a configurational perspective. In addition, it identifies combinations that require a low level of implementation of specific lean practices.

Resiliency is essential for achieving the necessary level of performance and ensuring the survival of a new business during difficult times. However, neither this characteristic nor its antecedents have been exhaustively studied. Using a configuration approach, this study aims to analyze the neuropsychological and business-related characteristics of entrepreneurs that may explain their resilience during the business development process.

Using the fuzzy set qualitative comparative analysis (fsQCA), the authors investigated distinct characteristics of Costa Rican agro-entrepreneurs with high levels of entrepreneurial resilience. The fsQCA methodology identifies combinations of causal measures that result in the outcome.

From the mixture of configurations, the authors found four combinations of individual’s characteristics that explain the profile of a resilient agro-entrepreneur.

This work contributes to the literature on agricultural entrepreneurship and entrepreneurial resilience. This study identifies four distinct combinations of entrepreneurs’ characteristics that produce entrepreneurial resilience in the agricultural industry. Moreover, it incorporates individuals’ business-related attributes into examining characteristics combinations that affect resilience. Also, this research offers agro-entrepreneurs’ stakeholders, valuable insights to develop more resilient entrepreneurs.

La resiliencia es esencial para lograr el nivel de rendimiento necesario y garantizar la supervivencia de un nuevo negocio en tiempos difíciles. Sin embargo, ni esta característica ni sus antecedentes han sido exhaustivamente estudiados. Empleando un enfoque de configuración, este estudio busca analizar las características neuropsicológicas y empresariales de los emprendedores que pueden explicar su resiliencia durante el proceso de desarrollo empresarial.

Utilizando el análisis cualitativo comparativo de conjuntos difusos (fsQCA, por sus siglas en inglés), investigamos distintas características de los agroemprendedores costarricenses con altos niveles de resiliencia emprendedora. La metodología fsQCA identifica combinaciones de medidas causales que originan un fenómeno o resultado.

A partir de la mezcla de configuraciones, encontramos cuatro combinaciones de características del individuo que explican el perfil de un agroemprendedor resiliente.

Nuestro trabajo contribuye a la literatura sobre emprendimiento agrícola y resiliencia emprendedora. Este estudio identifica cuatro combinaciones distintas de las características de los emprendedores que producen resiliencia emprendedora en la industria agrícola. Además, incorpora las características empresariaes de los individuos al examinar las combinaciones de características que afectan la resiliencia. También, nuestra investigación ofrece a los públicos de interés información valiosa para desarrollar emprendedores más resilientes.

A resiliência é essencial para alcançar o nível de desempenho necessário e garantir a sobrevivência de um novo negócio em tempos difíceis. Porém, nem esta característica nem seus antecedentes foram exaustivamente estudados. Empregando uma abordagem de configuração, este estudo busca analisar as características neuropsicológicas e empresariais de empreendedores que podem explicar sua resiliência no processo de desenvolvimento de negócios.

Usando a análise comparativa qualitativa do conjunto difuso (fsQCA), investigamos características distintas de agroempreendedores costarriquenhos com altos níveis de resiliência empreendedora. A metodologia fsQCA identifica combinações de medidas causais que causam um fenômeno ou resultado.

A partir da mistura de configurações, encontramos quatro combinações de características individuais que explicam o perfil de um agroempreendedor resiliente.

Nosso trabalho contribui para a literatura sobre empreendedorismo agrícola e resiliência empreendedora. Este estudo identifica quatro combinações distintas de características dos empreendedores que produzem resiliência empreendedora na indústria agrícola. Além disso, incorpora as características de negócios dos indivíduos ao examinar as combinações de características que afetam a resiliência. Adicionalmente, nossa pesquisa oferece às partes interessadas dos agroempreendedores insights valiosos para desenvolver empreendedores mais resilientes.

Inland shipping has been extensively recognised as a sustainable, efficient and good alternative to rail and road modes of transportation. In recent years, various authorities and academic researchers have advocated shifting from road to other sustainable modes like inland waterway transport (IWT) or rail transport. Academic work on modernisation and technological innovations to enhance the effectiveness and efficiency of waterborne transportation is becoming apparent as a growing body of literature caused by the need to achieve a sustainable transport system. Thus, it became apparent to explore the research trends on IWT.

A systematic and structured literature review study was employed in this paper to identify the challenges and concepts in modernising inland waterways for freight transportation. The review analysed 94 articles published in 54 journals from six well-known databases between 2010 and 2022.

The key findings of this review are that despite various challenges confronting the sector, there have been successful cases of technological advancement in the industry. The main interest among scholars is improving technical and economic performance, digitalisation, and safety and environmental issues. The review revealed that most of the literature is fragmented despite growing interest from practitioners and academic scholars. Academic research to address the strategic objectives, including strengthening competitiveness (shipbuilding, hydrodynamics, incorporating artificial intelligence into the decision-making process, adopting blockchain technology to ensure transparency and security in the transactions, new technologies for fleets adaptation to climate change, more effective handling, maintenance and rehabilitation technologies), matching growth and changing trade patterns (intermodal solutions and new logistics approaches) are major causes of concerns.

By employing the approach of reviewing previously available literature on IWT review papers, this review complements the existing body of literature in the field of IWT by providing in a single paper a consolidation of recent state-of-the-art research on technological developments and challenges for inland waterways freight transport in the intermodal supply chain that can act as a single resource to keep researchers up to date with the most recent advancements in research in the domain of inland waterway freight transport. Additionally, this review identified gaps in the literature that may inspire new research themes in the field of IWT.

In recent decades, a significant number of research contributions have been made to the intersection of digital technologies and the tourism industry. However, a thorough examination of digitalization and digital transformation in the tourism industry has not been given sufficient consideration. This study aims to provide a bibliometric review of digitalization and digital transformation research in the tourism industry and devise future research agendas to advance the research field.

This study uses the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol and a bibliometric analysis to examine the research progress and scientifically map the research domain of digitalization and digital transformation in the tourism industry from 2002 to 2023 using bibliographic data retrieved from the Scopus and Web of Science.

This study presents the trends in publications and citations within the digitalization and digital transformation research domain in tourism. The findings also provide insights into the four primary clusters of the research field: digital innovation, smart tourism ecosystem, eTourism and smart destination experience. To further augment the application of digital transformation, this study offers several recommendations for future research on digitalization and digital transformation of the tourism industry.

This study provides valuable implications to researchers, managers and policymakers seeking to understand the current state and future research directions in tourism’s digitalization and digital transformation research field.

This study advances the research field of digitalization and digital transformation in the tourism industry by thoroughly examining the primary research clusters in the research corpus of the past two decades. Furthermore, it guides future research, thereby setting the stage for further progress in this domain.

近几十年来, 数字技术与旅游业的交叉领域做出了大量研究贡献。 然而, 对旅游业数字化和数字化转型的深入审视尚未得到充分考虑。本研究旨在对旅游业数字化和数字化转型研究进行文献计量回顾, 并制定未来的研究议程以推进该研究领域的发展。

本研究利用系统文献综述的科学程序和原理（SPAR-4-SLR）协议和文献计量分析来检验研究进展并科学地绘制旅游业数字化和数字化转型的研究领域 使用从 Scopus 和 Web of Science (WOS) 检索到的书目数据从 2002 年到 2023 年。

本研究呈现了旅游业数字化和数字化转型研究领域出版物和引用的趋势。 研究结果还提供了对该研究领域的四个主要集群的见解：数字创新、智能旅游生态系统、电子旅游和智能目的地体验。 为了进一步增强数字化转型的应用, 本研究为旅游业数字化和数字化转型的未来研究提出了几点建议。

本研究通过深入研究过去二十年研究语料库中的主要研究集群, 推进了旅游业数字化和数字化转型的研究领域。 此外, 它指导了未来的研究, 从而为该领域的进一步进展奠定了基础。

本研究为寻求了解旅游业数字化和数字化转型研究领域现状和未来研究方向的研究人员、管理者和政策制定者提供了有价值的启示。

En las últimas décadas, se ha realizado un número significativo de contribuciones de investigación a la intersección de las tecnologías digitales y la industria del turismo. Sin embargo, no se ha prestado suficiente atención a un examen exhaustivo de la digitalización y la transformación digital en la industria del turismo. Este estudio tiene como objetivo proporcionar una revisión bibliométrica de la investigación sobre digitalización y transformación digital en la industria del turismo y diseñar futuras agendas de investigación para avanzar en el campo de la investigación.

Este estudio utiliza el protocolo de Procedimientos y fundamentos científicos para revisiones sistemáticas de la literatura (SPAR-4-SLR) y un análisis bibliométrico para examinar el progreso de la investigación y mapear científicamente el dominio de investigación de la digitalización y la transformación digital en la industria del turismo. de 2002 a 2023 utilizando datos bibliográficos recuperados de Scopus y Web of Science (WOS).

Este estudio presenta las tendencias en publicaciones y citas dentro del dominio de investigación sobre digitalización y transformación digital en turismo. Los hallazgos también brindan información sobre los cuatro grupos principales del campo de investigación: innovación digital, ecosistema de turismo inteligente, turismo electrónico y experiencia de destino inteligente. Para aumentar aún más la aplicación de la transformación digital, este estudio ofrece varias recomendaciones para futuras investigaciones sobre la digitalización y la transformación digital de la industria turística.

Este estudio avanza en el campo de investigación de la digitalización y la transformación digital en la industria del turismo al examinar en profundidad los principales grupos de investigación en el corpus de investigación de las últimas dos décadas. Además, orienta la investigación futura, sentando así las bases para mayores avances en este ámbito.

Este estudio proporciona implicaciones valiosas para los investigadores, administradores y formuladores de políticas que buscan comprender el estado actual y las direcciones futuras de la investigación en el campo de la digitalización y la transformación digital del turismo.

The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

This study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.

The results of 22 empirical investigations on the association between board qualities and carbon emission disclosure are synthesised using a meta-analysis approach. Inclusion and exclusion criteria are established, and search strategies are devised to locate relevant material. Data extraction entails gathering important information such as the names of the authors, variables and correlation coefficients. Fisher's z-transformation is used to compute and synthesise effect sizes and assumptions, sensitivity testing and subgroup analysis are performed to assess the robustness of the findings.

A substantial association was discovered between board characteristics and carbon emission disclosure. Board independence and gender diversity revealed small to medium-strength positive relationships, whilst board size had a medium-strength positive correlation. The study periods varied from 2011 to 2022, with 2018 having the most studies. However, highly heterogeneous groups were discovered; further subgroup analyses were then carried out to sort out this issue.

Several limitations were recognised due to the limited number of studies and heterogeneity, although subgroup analysis was used to reduce the influence of heterogeneity. To investigate alternate outcomes, more analysis of the heterogeneity level and potential modifications to the model assumptions may be required.

Companies should consider board size, independence and gender diversity when formulating long-term competitive strategies in the climate change movement. These characteristics can aid in bridging information gaps and garnering stakeholder support for carbon-reduction initiatives.

This meta-analysis addresses a gap in the literature by addressing prior studies' conflicting and inconsistent findings on the association between board characteristics and carbon emission disclosure. It employs a rigorous approach and synthesis strategy to provide a thorough and robust understanding of the crucial role of board characteristics in carbon emission disclosure.