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The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.

The purpose of this study is to analyze the impacts of the COVID-19 pandemic on the performance of companies using a hybrid Multi-Criteria Decision-Making (MCDM) approach. Specifically, the study examines Türkiye’s Top 500 Industrial Enterprises to analyze their performance before and during the pandemic, and to capture their performance in determining investment and production strategy.

To achieve the study’s objectives, the Fuzzy Best-Worst Method (F-BWM) was used to obtain importance levels of performance indicators, decreasing the vagueness in experts’ decision-making preferences. The Measurement Alternatives and Ranking According to Compromise Solution (MARCOS) method was used to rank enterprises based on their performance.

The COVID-19 pandemic has clearly had a substantial impact on the performance of Türkiye’s top 500 industrial enterprises. While some companies suffered decreased sales, others reported that their revenues increased or remained constant during the outbreak. The results reveal that the pandemic caused a shift in the initial ranking outcomes for the first two enterprises.

The study’s limitations include the sample size and the time period under consideration, which may have an impact on the generalizability of the findings.

Decision-makers’ investment, employment and operational decisions were influenced by the impact of the COVID-19 pandemic. The results provide insights for decision-makers on how to achieve higher growth and performance under the pressure of the pandemic.

The study’s practical consequences help decision-makers understand how to attain higher growth and performance in the face of the epidemic.

The originality of this study lies in using a hybrid MCDM approach to examine the impact of the COVID-19 pandemic on company performance. A hybrid MCDM approach is proposed to help decision-makers make the best possible investment and implementation decisions.

This study examines academic librarians' perceptions and attitudes toward Internet of Things (IoT) applications in Hong Kong academic libraries and the problems and possible improvements in using IoT technologies to strengthen library services.

This qualitative research used video conferencing software for semi-structured, one-on-one interviews. Participants were given introductory material about the IoT and asked to complete an interview. The data were analyzed using inductive theme clustering for this study.

The analysis identified three themes: perception about applying IoT technology to the library, problems and improvements in using IoT. Participants were generally optimistic about the potential benefits of IoT for improving library operations and providing personalized services. However, they also expressed concerns about privacy and security, errors and extra efforts for information literacy training. They suggested improvements such as incorporating facial recognition technology, advanced RFID technology and collections identification technology to enhance user experience.

Most studies examined users' views rather than librarians' on IoT applications, which few studies cover, especially in East Asia.

This study aims to analyse the relationship between a patent’s network position in a knowledge search network and the likelihood and speed of patent transactions. Additionally, it explores whether patent scope moderates these relationships.

In this empirical study, the authors collected a sample of patents in the artificial intelligence industry over the period of 1985–2018. Then, the authors examined the direct roles of degree centrality, betweenness centrality and closeness centrality on the likelihood and speed of patent transactions and the moderating role of patent scope in the knowledge search network using the logit and accelerated failure time models.

The findings reveal that degree centrality positively affects both the likelihood and speed of patent transactions, while betweenness centrality enhances the likelihood, and closeness centrality significantly boosts both. However, regarding the speed of patent transactions, closeness centrality is the most impactful, followed by degree centrality, with no significant influence of betweenness centrality. Additionally, the patent scope moderates how betweenness centrality affects the likelihood of transactions.

This study has limitations owing to its exclusive use of data from the Chinese Intellectual Property Office, lack of visibility of the confidential terms of most patent transactions, omission of transaction directionality and focus on a single industry, potentially restricting the breadth and applicability of the findings. In the future, expanding the data set and industries and combining qualitative research methods may be considered to further explore the content of this study.

This study has practical implications for developing a better understanding of how network structure in the knowledge search network affects the likelihood and speed of patent transactions as well as the identification of high-value patents. These findings suggest future directions for patent holders and policymakers to manage and optimise patent portfolios.

This study expands the application boundaries of social network theory and the knowledge-based view by conducting an in-depth analysis of how the position characteristics of patents within the knowledge search network influence their potential and speed of transactions in the technology market. Moreover, it provides a theoretical reference for evaluating patent value and identifying high-quality patents by quantifying network positions. Furthermore, the authors construct three centrality measures and explore the development of patent transactions, particularly within the context of the developing country.

Fall accidents can cause casualties and economic losses in the construction industry. Fall portents, such as loss of balance (LOB) and sudden sways, can result in fatal, nonfatal or attempted fall accidents. All of them are worthy of studying to take measures to prevent future accidents. Detecting fall portents can proactively and comprehensively help managers assess the risk to workers as well as in the construction environment and further prevent fall accidents.

This study focused on the postures of workers and aimed to directly detect fall portents using a computer vision (CV)-based noncontact approach. Firstly, a joint coordinate matrix generated from a three-dimensional pose estimation model is employed, and then the matrix is preprocessed by principal component analysis, K-means and pre-experiments. Finally, a modified fusion K-nearest neighbor-based machine learning model is built to fuse information from the x, y and z axes and output the worker's pose status into three stages.

The proposed model can output the worker's pose status into three stages (steady–unsteady–fallen) and provide corresponding confidence probabilities for each category. Experiments conducted to evaluate the approach show that the model accuracy reaches 85.02% with threshold-based postprocessing. The proposed fall-portent detection approach can extract the fall risk of workers in the both pre- and post-event phases based on noncontact approach.

First, three-dimensional (3D) pose estimation needs sufficient information, which means it may not perform well when applied in complicated environments or when the shooting distance is extremely large. Second, solely focusing on fall-related factors may not be comprehensive enough. Future studies can incorporate the results of this research as an indicator into the risk assessment system to achieve a more comprehensive and accurate evaluation of worker and site risk.

The proposed machine learning model determines whether the worker is in a status of steady, unsteady or fallen using a CV-based approach. From the perspective of construction management, when detecting fall-related actions on construction sites, the noncontact approach based on CV has irreplaceable advantages of no interruption to workers and low cost. It can make use of the surveillance cameras on construction sites to recognize both preceding events and happened accidents. The detection of fall portents can help worker risk assessment and safety management.

Existing studies using sensor-based approaches are high-cost and invasive for construction workers, and others using CV-based approaches either oversimplify by binary classification of the non-entire fall process or indirectly achieve fall-portent detection. Instead, this study aims to detect fall portents directly by worker's posture and divide the entire fall process into three stages using a CV-based noncontact approach. It can help managers carry out more comprehensive risk assessment and develop preventive measures.

The purpose of this study is to investigate the factors influencing green travel intentions within the tourism sector. By examining the moderating effect of green knowledge within the theory of reasoned goal pursuit (TRGP) framework, the research aims to enhance understanding of green travel decision-making and contribute to the development of strategies that promote sustainable travel practices in Vietnam and beyond.

Drawing upon the TRGP, a conceptual framework is developed to understand the relationships among active procurement goals, active approval goals, attitudes toward green travel, subject norms, green travel motivation, perceived behavioral control and green travel intention. The study adopts a quantitative research design and collects data from a sample of 544 Vietnamese tourists through a survey instrument.

The relationships between TRGP variables are discovered and confirmed in the context of ecotourism. Furthermore, the moderating roles of green knowledge are also investigated, directly contributing to sustainable tourism through the lens of TRGP.

The study's exploration of green travel intention and the role of green knowledge contributes to theoretical frameworks and underscores the significance of environmental education in fostering sustainable travel behaviors. Stakeholders in the Vietnamese tourism sector can benefit from practical insights by focusing on eco-friendly accommodations and responsible tour packages. Leveraging social influence and educational campaigns may further encourage sustainable travel practices among Vietnamese tourists, enhancing their inclination toward environmentally conscious behaviors.

The research underscores the importance of interventions that target goal-oriented factors, positive attitudes, social norms, perceived control and green knowledge in molding sustainable travel behaviors. These insights provide a foundation for tourism stakeholders to tailor strategies such as environmental education programs and supportive policies to promote sustainable tourism practices among Vietnamese tourists effectively.

本研究旨在探究影响旅游业中绿色旅行意图的因素。通过在理性目标追求理论（TRGP）框架内审视绿色知识的调节效应, 研究旨在增进对绿色旅行决策制定的理解, 并为推动越南及其他地区的可持续旅行实践发展贡献力量。

本研究基于理性目标追求理论（TRGP）, 建立概念框架, 以了解积极采购目标、积极批准目标、对绿色旅游的态度、主观规范、绿色旅游动机、知觉行为控制和绿色旅游意向之间的关系。本研究采用定量研究方式, 通过问卷调查的设计, 共收集了544名越南旅客数据。

在生态旅游的背景下, 发现并确认了TRGP中各变量之间的关系。此外, 还调查了绿色知识的调节角色, 基于TRGP理论促进了可持续旅游发展。

研究对绿色旅行意图和绿色知识的探索有助于理论框架, 并强调了环境教育在培养可持续旅行行为方面的重要性。越南旅游业的利益相关者可以通过专注于环保住宿和负责任的旅游套餐获得实用见解。利用社会影响力和教育活动可能进一步鼓励越南游客采用可持续旅行实践, 增强他们对环保行为的倾向。

研究强调了针对目标导向因素、积极态度、社会规范、感知控制和绿色知识的干预的重要性, 以塑造可持续旅行行为。这些见解为旅游利益相关者提供了基础, 使其能够制定诸如环境教育项目和支持政策等策略, 从而有效促进越南游客之间的可持续旅游实践。

El propósito de este estudio es investigar los factores que influyen en las intenciones de viaje verde dentro del sector turístico. Al examinar el efecto moderador del conocimiento verde dentro del marco de la Teoría de la Persecución de Metas Razonadas (TRGP), la investigación tiene como objetivo mejorar la comprensión de la toma de decisiones sobre viajes verdes y contribuir al desarrollo de estrategias que promuevan prácticas de viaje sostenibles en Vietnam y más allá.

Basándose en la TRGP, se desarrolla un marco conceptual para comprender las relaciones entre metas activas de adquisición, metas activas de aprobación, actitudes hacia los viajes verdes, normas subjetivas, motivación para viajes verdes, control conductual percibido e intención de viaje verde. El estudio adopta un diseño de investigación cuantitativa y recopila datos de una muestra de 544 turistas vietnamitas a través de un instrumento de encuesta.

Se descubren y confirman las relaciones entre las variables de TRGP en el contexto del ecoturismo. Además, también se investigan los roles moderadores del conocimiento verde, contribuyendo directamente al turismo sostenible a través del prisma de la TRGP.

La exploración de la intención de viaje verde y el papel del conocimiento verde en el estudio contribuye a los marcos teóricos y subraya la importancia de la educación ambiental para fomentar comportamientos de viaje sostenibles. Los interesados en el sector turístico vietnamita pueden beneficiarse de percepciones prácticas al centrarse en alojamientos ecológicos y paquetes turísticos responsables. El aprovechamiento de la influencia social y las campañas educativas puede fomentar aún más prácticas de viaje sostenibles entre los turistas vietnamitas, mejorando su inclinación hacia comportamientos ambientalmente conscientes.

La investigación subraya la importancia de intervenciones que se centran en factores orientados a metas, actitudes positivas, normas sociales, control percibido y conocimiento verde en la configuración de comportamientos de viaje sostenibles. Estas percepciones proporcionan una base para que los interesados en el turismo adapten estrategias como programas de educación ambiental y políticas de apoyo para promover prácticas turísticas sostenibles entre los turistas vietnamitas de manera efectiva.

This paper aims to assess whether incubation affects the technical efficiency of innovative firms after entering the market. The study of efficiency allows firms to understand how well resources have been used in production processes. The research intends to contribute to the literature on the performance of incubated firms.

This study estimates the relative efficiency of innovative firms adopting a DEA-based two-stage semi-parametric method. Incubation, firm age and initial capital are used for explaining the relative performance of previously incubated firms compared to non-incubated ones over a six-year period of activity. This research focuses on Italian innovative firms using a large sample of companies.

Results show that incubators have a positive and significant effect on efficiency for firms that have been in the market for more than two years. Efficiency also improves with age and with the level of initial capital of the firm.

This analysis is limited to the quantitative dimension of inputs as reported in the balance sheets, without qualitative considerations.

Findings enhance firms' understanding of the role of incubators as neutral places to develop a business culture of efficiency. From an empirical standpoint, this study provides useful insights to start-uppers who intend to attend incubation programs. Overall, incubators matter to the extent that they enable new firms, net of those that fail to survive in the first two years of activity, to improve their efficiency in the use of inputs. This research also suggests incubators consider the start-ups’ potential of being efficient.

Findings provide tips to policymakers when they are called upon to propose funding programs to support prominent firms entering the business scalability.

This study contributes to the literature on the relative performance of post-incubated firms, highlighting the efficiency frontier analysis. This methodological approach is relatively new in this field. It allows researchers to study the innovative firms' performance in relative terms, that is with respect to the input level. It integrates the performance-based with efficiency frontier analysis. Also, this study reinforces the idea that incubators prepare start-ups to develop capacities and managerial skills, which will be useful in post-incubation life to improve their cost competitiveness.

Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply inefficiencies have been reported to compromise food safety in different regions. Sustainable supplier management and digitalization practices have become cornerstone activities in addressing these shortcomings. Therefore, this paper proposes an integrated method for sustainability management in digital manufacturing supply chain systems (DMSCS) from the food industry.

The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) was used to weigh the criteria and subcriteria under uncertainty. Second, the Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) was applied to determine the main DMSCS sustainability drivers whilst incorporating the expert's hesitancy. Finally, the Combined Compromise Solution (CoCoSo) was implemented to pinpoint the weaknesses hindering DMSCS sustainability. A case study from the pork supply chain was presented to validate this method.

The most important criterion for DMSCS sustainability management is “location” while “manufacturing capacity” is the most significant dispatcher.

This paper presents a novel approach integrating IF-AHP, IF-DEMATEL, and CoCoSo methods for sustainability management of DMSCS pillaring the food industry.

This research focuses on analyzing the impact of digital transformation (DT) on the green innovation performance of Spanish wineries, as well as the mediating effect of green knowledge sharing (GKS) on this main relationship, as well as the moderating role of top management environmental awareness (TMEA) on the GKS-green innovation performance linkage. In addition, age, size and protected designation of origin (PDO) membership are used to increase the precision of the cause–effect relationships examined.

The study proposes a conceptual model based on previous studies, which is tested using partial least squares structural equation modeling, with data collected from 196 Spanish wineries between September 2022 and January 2023.

The results of the research reveal the existence of a positive and significant relationship between the development of DT and green innovation performance of Spanish wineries, as well as the partial mediation of GKS in this link and a positive moderation of TMEA in the GKS-green innovation performance bond.

Winery executives should prioritize aligning DT with TMEA to drive green innovation performance. Additionally, it is recommended that they actively promote GKS within their wineries to enhance sustainability performance and strengthen their competitive positioning in an eco-conscious market.

The originality of the study derives from its pioneering character, as the research enters unexplored terrain by investigating the role of the GKS as a mediator in the relationship between DT and green innovation performance, as no previous research has ventured in this direction.

Drawing an inference from institutional theory and dynamic capabilities view, this study empirically examined the impact of three institutional dimensions (regulative, normative and cognitive) and green entrepreneurial orientation (GEO) on a business firm’s performance. In addition, the moderating effect of dynamic capabilities on the relationship between GEO and firm performance was also explored.

The data were collected from 527 information technology (IT) firms in Pakistan using paper–pencil questionnaires, and the hypotheses were tested using structural equation modeling.

The findings showed that the regulative and normative institutional dimensions enhance GEO and firm performance in the selected developing country. However, the cognitive institutional dimension fails to report any substantial influence on GEO and firm performance. The findings raised concerns about lower individual accountability as well as the promotion of green practices and firm performance. In addition, dynamic capabilities positively moderate the GEO influence on firm performance.

With the interplay of institutional dimensions, GEO (as mediator) and dynamic capabilities (as moderator), this study developed and tested a unique framework to understand their influence on firm performance. Specifically, we extended the literature by giving evidence that among the three institutional dimensions, only regulative and normative are considered more important because of their direct and indirect (through GEO) positive effect on firm performance. In contrast, the cognitive institutional dimension failed to report any significant direct or indirect impact on firm performance in our study.