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What are the performance implications of peer monitoring in a multiple-supplier context? Grounded in agency and social exchange theories, this study aims to examine how, when, and why peer monitoring works as a crucial control mechanism to reduce opportunism among suppliers.

A conceptual model and research hypotheses are tested using survey data from 246 respondents in 82 supplier groups.

Results suggest that peer monitoring is related positively to perceived deterrence (as mediator) and negatively to opportunism, whereas the mediated relationship is moderated negatively by generalized reciprocity and positively by balanced reciprocity and negative reciprocity.

This study introduces the application of peer monitoring into business-to-business research and shows how it reduces opportunism. Its findings have implications for manufacturers on how to use peer monitoring to control opportunism among multiple suppliers.

Awe is an important yet largely overlooked emotion in tourism. This paper aims to reveal the underlying mechanism of the effects of nature-inspired awe on stimulating tourists' environmentally responsible behavior (TERB) intention by delving into the serial mediation effect of state construal level, small-self perception and state connectedness to nature (CNT).

This research was built upon the appraisal theory of emotion. Study 1 was a scenario-induced quasi-experimental study to test the proposed model linking awe, small-self perception, state CNT and TERB intention. A total of 271 valid questionnaires were collected via an online questionnaire platform. Study 2 was a field study designed to replicate the findings of Study 1 and further uncover the mediating role of the state construal level. Study 2 was conducted in Baiyun Mountain Scenic Area, China. A total of 229 valid questionnaires were used for analysis.

This research deepens our understanding of the effects of nature-inspired awe in the tourism and travel fields. This research uncovers the underlying mechanism by which awe increases TERB intention through serial mediation. Specifically, awe inspires tourists to apply a higher level of construal, which makes tourists perceive a smaller self, making them feel more connected to nature and exert more intention to adopt ERB.

This research linked tourists' mindset (i.e. state construal level), internal (i.e. small-self perception) and external (i.e. state CNT) cognition in an integrated model, explaining how nature-inspired awe contributes to eliciting TERB intention. The findings add critical theoretical contributions to the travel and tourism literature and provide important implications for the tourism industry to inspire awe and benefit from such emotion.

敬畏在旅游中是一种十分重要的情绪, 但却鲜少被关注。本研究旨在深入研究解释水平状态、小我感知和自然关联感的链式中介效应, 揭示自然敬畏激发游客环境责任行为意向的内在作用机制。

本研究的基础理论为情绪评价理论。研究一通过场景诱导的准实验研究, 检验将敬畏、小我感知、自然关联感和游客责任行为意向的假设模型; 研究一以网络问卷平台收集的271份有效问卷数据进行分析。研究二是一项在中国白云山风景区开展的实地研究, 旨在检验研究一的研究结果, 并进一步揭示解释水平状态的中介效应; 研究二采用229份有效问卷数据进行分析。

本研究揭示了敬畏通过链式中介作用影响游客环境责任行为意向的内在作用机制, 深化了对自然敬畏在旅游和旅行领域价值的理解。具体而言, 本研究发现敬畏激发了游客启动更高的解释水平, 这使游客感知到更渺小的自我, 并促使他们感到与自然的联系更加紧密, 从而提升了游客的环境责任行为意向。

本研究将游客的心理定式（即解释水平状态）、内在认知（即小我感知）和外部认知（即自然关联感）整合到一个综合模型中, 解释了自然敬畏引发游客环境责任行为意向的作用机制。研究结果为旅游研究提供了重要的理论贡献, 也为旅游行业如何在实践中激发敬畏感并从中获得效益提供了重要的实践启示。

El asombro es una emoción importante pero en gran medida ignorada en el turismo. Esta investigación pretende revelar el mecanismo subyacente de los efectos del asombro inspirado por la naturaleza en la estimulación de la intención del comportamiento responsable con el medio ambiente (TERB) de los turistas, profundizando en el efecto mediador en serie del nivel de interpretación del estado, la percepción del pequeño yo y la conexión del estado con la naturaleza (CNT).

Esta investigación se basó en la teoría de la valoración de la emoción. El estudio 1 fue un estudio cuasiexperimental inducido por escenarios para probar el modelo propuesto que vincula el sentimiento de asombro, la percepción del pequeño yo, el estado CNT y la intención TERB. Se recogieron 271 cuestionarios válidos a través de una plataforma de cuestionarios en línea. El Estudio 2 fue un estudio de campo diseñado para replicar los hallazgos del Estudio 1 y descubrir más a fondo el papel mediador del nivel de interpretación del estado. El estudio 2 se llevó a cabo en la zona escénica de la montaña de Baiyun (China). Se utilizó un total de 229 cuestionarios válidos para el análisis.

Esta investigación profundiza en nuestra comprensión de los efectos del asombro inspirado por la naturaleza en los ámbitos del turismo y los viajes. Esta investigación descubre el mecanismo subyacente por el que el asombro aumenta la intención de TERB a través de la mediación en serie. En concreto, el asombro inspira a los turistas a aplicar un mayor nivel de interpretación, lo que hace que los turistas perciban un yo más pequeño, lo que les hace sentirse más conectados con la naturaleza y ejercer así una mayor intención de adoptar TERB.

Esta investigación vinculó la mentalidad de los turistas (es decir, el nivel de nterpretación del estado), la cognición interna (es decir, la percepción de un yo más pequeño) y la externa (es decir, la CNT del estado) en un modelo integrado, explicando cómo el asombro inspirado por la naturaleza contribuye a suscitar la intención TERB. Los hallazgos añaden contribuciones teóricas críticas a la literatura sobre viajes y turismo y proporcionan implicaciones importantes para que la industria turística inspire asombro y se beneficie de dicha emoción.

The purpose of this study is to quantify port efficiency assessment indicators to analyze the impact of COVID-19 on Chinese One Belt One Road (OBOR) ports.

This study utilized a grey prediction model GM(1,1) to forecast five relevant indicators for each of the 17 OBOR ports both with and without COVID-19 background conditions. Additionally, the data envelopment analysis (DEA) efficiency assessment approach was used to analyze the impact of COVID-19 on port efficiency.

The results indicate that cargo and container throughput growth rates during the COVID-19 pandemic are reduced by 1.7 and 2.1%, respectively. There was also a noticeable reduction in technological efficiency (TE) as well as pure technological efficiency (PTE), while scale efficiency (SE) remained largely unaffected. Furthermore, the dynamic efficiency MI was mainly negatively impacted by changes in overall efficiency change (EFFCH), where pure efficiency change (PECH) less than one contributed significantly towards overall regression of port efficiencies during this period.

This paper is unique in its use of a combination of the grey prediction model and DEA efficiency assessment to quantify changes in important indicators during pandemic periods. This approach not only provides a quantitative understanding of the impact on port-level efficiency through numerical quantification but also offers readers an intuitive understanding.

This study aims to examine how implicit distance (cognitive and social) impacts supply chain capabilities, and the roles of information technology (IT) utilization and supply chain flexibility in this process.

The authors designed a conceptual model including the implicit distance, supply chain flexibility, supply chain capability and IT utilization and verified the relationships among variables through a survey that collected data from 104 manufacturing enterprises in China.

The results show that cognitive and social distances positively and negatively affect supply chain flexibility, respectively. Furthermore, IT utilization strengthens the positive effect of cognitive distance and the negative effect of social distance on supply chain flexibility. Additionally, supply chain flexibility has a positive effect on supply chain capability and mediates the effects of cognitive and social distances on supply chain capability.

Enterprises should prioritize cooperation with different types of partners with whom the enterprises have established good collaborative working experiences. Moreover, if enterprises cooperate with new partners, enterprises should communicate and handle things face to face instead of frequently utilizing IT.

This study links the implicit distance between enterprises with supply chain capability and newly applies social network theory to explain the mechanism. Further, the authors' data confirm the moderating role of IT utilization in this process, supplementing the research on implicit distance. Moreover, this study employs dynamic capability theory to better understand how firms can improve supply chain capabilities.

The purpose of this study is to develop a domain independent, cost-effective, time-saving and semi-automated ontology generation framework that could extract taxonomic concepts from unstructured text corpus. In the human disease domain, ontologies are found to be extremely useful for managing the diversity of technical expressions in favour of information retrieval objectives. The boundaries of these domains are expanding so fast that it is essential to continuously develop new ontologies or upgrade available ones.

This paper proposes a semi-automated approach that extracts entities/relations via text mining of scientific publications. Text mining-based ontology (TmbOnt)-named code is generated to assist a user in capturing, processing and establishing ontology elements. This code takes a pile of unstructured text files as input and projects them into high-valued entities or relations as output. As a semi-automated approach, a user supervises the process, filters meaningful predecessor/successor phrases and finalizes the demanded ontology-taxonomy. To verify the practical capabilities of the scheme, a case study was performed to drive glaucoma ontology-taxonomy. For this purpose, text files containing 10,000 records were collected from PubMed.

The proposed approach processed over 3.8 million tokenized terms of those records and yielded the resultant glaucoma ontology-taxonomy. Compared with two famous disease ontologies, TmbOnt-driven taxonomy demonstrated a 60%–100% coverage ratio against famous medical thesauruses and ontology taxonomies, such as Human Disease Ontology, Medical Subject Headings and National Cancer Institute Thesaurus, with an average of 70% additional terms recommended for ontology development.

According to the literature, the proposed scheme demonstrated novel capability in expanding the ontology-taxonomy structure with a semi-automated text mining approach, aiming for future fully-automated approaches.

This paper aims to provide SIF calculation method for engineering application.

In this paper, the stress intensity factors (SIFs) calculation method is applied to the anisotropic Ni-based single crystal film cooling holes (FCHs) structure.

Based on contour integral, the anisotropic SIFs analysis finite element method (FEM) in Ni-based single crystal is proposed. The applicability and mesh independence of the method is assessed by comparing the calculated SIFs using mode of plate with an edge crack. Anisotropic SIFs can be calculated with excellent accuracy using the finite element contour integral approach. Then, the effect of crystal orientation and FCHs interference on the anisotropic SIFs is clarified. The SIFs of FCH edge crack in the [011] orientated Ni-based single crystal increases faster than the other two orientations. And the SIF of horizontal interference FCHs edge crack is also larger than that of the inclined interference one.

The SIFs of the FCH edge crack in the turbine air-cooled blade are innovatively computed using the sub-model method. Both the Mode I and II SIFs of FCHs edge crack in blade increase with crack growing.

The study aims to explore how fashion visual symbols influence consumers' inclination for repurchasing. It attempts to investigate the intricate interplay among three essential variables (social presence, collective excitement and cultural identification) from the perspective of Interaction Ritual Chains theory. Meanwhile, an attempt is made to reveal the underlying patterns in these relationships, fully harnessing the positive impact of fashion brand visual symbols in brand marketing.

This study employs a quantitative research methodology, administering an online survey in China, from which 381 valid responses were collected by simple random sampling. The acquired data were subjected to structural equation model and hypotheses testing.

The analysis reveals that heightened visual symbol perception significantly strengthens consumers' social presence, consequently elevating the probability of collective excitement. This establishes a mediated chain model, reinforcing repurchase intention. Additionally, the moderation effect analysis indicates that cultural identification negatively moderates both direct paths in the mediated chain model, with particularly pronounced effects for low cultural identification.

This study establishes a closed-loop system in fashion brand product marketing, continuously enhancing the intimacy and interactive willingness between consumers, as well as between consumers and the brand. The objective is to increase brand repurchase rates. Additionally, the research provides valuable recommendations and strategies for fashion brands to adapt to Chinese consumer demands, strengthen emotional attachment between consumers and the brand, and achieve sustainable development in the realm of fashion consumption.

Atherosclerosis tends to occur in the distinctive carotid sinus, leading to vascular stenosis and then causing death. The purpose of this paper is to investigate the effect of sinus sizes, positions and hematocrit on blood flow dynamics and heat transfer by different numerical approaches.

The fluid flow and heat transfer in the carotid artery with three different sinus sizes, three different sinus locations and four different hematocrits are studied by both computational fluid dynamics (CFD) and fluid-structure interaction (FSI) methods. An ideal geometric model and temperature-dependent non-Newtonian viscosity are adopted, while the wall heat flux concerning convection, radiation and evaporation is used.

With increasing sinus size, the average velocity and temperature of the blood fluid decrease, and the area of time average wall shear stress (TAWSS)with small values decreases. As the distances between sinuses and bifurcation points increase, the average temperature and the maximum TAWSS decrease. Atherosclerosis is more likely to develop when the sinuses are enlarged, when the sinuses are far from bifurcation points, or when the hematocrit is relatively large or small. The probability of thrombosis forming and developing becomes larger when the sinus becomes larger and the hematocrit is small enough. The movement of the arterial wall obviously reduces the velocity of blood flow, blood temperature and WSS. This study also suggests that the elastic role of arterial walls cannot be ignored.

The hemodynamics of the internal carotid artery sinus in a carotid artery with a bifurcation structure have been investigated thoroughly, on which the impacts of many factors have been considered, including the non-Newtonian behavior of blood and empirical boundary conditions. The results when the FSI is considered and absent are compared.

Disasters and other emergencies are increasing, with millions of people affected by events like earthquakes, fires and flooding. The use of mobile emergency alert systems (MEAS) can improve people’s responses by providing targeted alerts based on location and other personal details. This study aims to understand the factors that influence people’s willingness to share the personal information that is needed to provide context-specific messaging about a threat and protective actions.

Drawing on protection motivation theory (PMT), this study proposes and tests a model of willingness to use personalised MEAS that incorporates key factors related to an individual’s appraisal of a potential threat (i.e. perceived vulnerability and severity) and coping capacity (i.e. response efficacy and self-efficacy), with deterrents like response cost and privacy concern. This study uses survey data from 226 respondents in New Zealand and SmartPLS to assess the model.

The results show how willingness to use MEAS is influenced by people’s appraisal of an emergency threat and their perception of how using MEAS would help them to cope effectively. Fear and perceived severity are significant motivators of MEAS use, along with coping appraisal. However, when the negative influences of privacy concern and response cost are strong enough, they can dissuade use, despite knowing the risks.

The study addresses a gap in research on the use of alert systems like MEAS, which require sharing of personal information and continuous engagement such as the real-time disclosure of one’s location. It confirms the significance of factors not studied in prior research, such as privacy concerns, that can dissuade use. This study also extends the application of the PMT in the context of emergency management.

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.