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This study aimed to investigate whether information from reliable news sources such as medical experts and government officials, along with governmental and individual risk responses, influences consumers’ perceptions of news and intention to seek more information. Additionally, it aimed to explore the relationships between these perceptions and consumers’ intentions to seek information in a food safety risk event.

A survey design methodology was employed. A quasi-experimental approach divided 470 Taiwanese participants into three groups, each exposed to varying online news content about food safety news, designed according to the Internalization-Distribution-Explanation-Action (IDEA) model. This involved different combinations of reliable sources and risk response advice to examine the impact on news comprehension and behaviour intentions.

The results indicated that consumers perceived the news as highly credible when they read it with reliable news sources or risk response advice. Governmental and individual risk response advice significantly impacted consumers’ understanding of news. In addition, perceptions of news credibility and understanding of news can increase individuals’ information-seeking intentions to protect themselves from food safety risks.

This study introduced novel insights into the application of the source credibility theory (SCT) model within Taiwanese food safety incidents, identifying key factors that motivate consumer information-seeking behaviour. It marks an initial attempt to incorporate the IDEA model-based risk communication content into research design, aligning with existing literature while highlighting the critical role of reliable sources in enhancing news credibility and consumer response.

The purpose of this paper is to study online clothing consumers' behaviour and their visual attention mechanism to provide objective and quantitative evidences for the display and sales of online clothing.

Firstly, this paper conducted a Focus Group Methodology and questionnaire survey to obtain concern factors of online clothing. Secondly, the online clothing's bottom-up visual stimulation and consumer's top-down expectations were analysed, and proposed the hypotheses about significant stimulus of clothing and consumer's emotional experience. Thirdly, the online clothing consumer's visual attention rules and related qualitative results were discussed, and proposed visual attention law for online clothing. Finally, took the company's 84th quarter clothing design practices as research projects, all the hypotheses were demonstrated through eye movement physiology experiments, online clothing trial release and node sales data.

Online clothing has unique visual display ways compared with other online products such as online advertising, brands and food packaging. Clothing patterns of unfamiliar (fresh) font shapes are more attractive than the patterns of familiar fonts. The cause of the bottom-up visual attention bias is the contrast between clothing features, not the absolute stimulus intensity of the features themselves. Clothing factors can change their emotional experience from no difference to significant difference under the influence of other clothing factors.

Put forward hypotheses of online clothing consumer behaviour and its visual attention mechanism, provided objective and quantitative evidences through eye tracker.

This paper aims to study consumers’ visual attention and emotional experience with clothing design factors and their combinations from the perspective of cognition and emotion and propose an interaction phenomenon to evaluate the combined effect of clothing factors to better guide online clothing design and sales.

An eye movement physiology experiment was conducted, 33 participants screened by questionnaires were invited for this experiment. Hypotheses of visual attention were verified by the FIRST_FIXATION_TIME indicator, DWELL_TIME indicator and FIXATION_COUNT indicator. Hypotheses of emotional experience were verified by the PUPIL_SIZE indicator.

First, on the product list page, it is better to use only the three factors of clothing and a small number of stimulating factors. Second, when the stimulus is consistent with the cognitive task performed by the consumer, the efficiency of the task and the consumer's user experience will be improved. Third, the positive interaction phenomenon of clothing design factors and their combinations could significantly attract consumers' visual attention and improve their emotional experience.

This work argues consumer interest and emotional experience with online clothing can be expressed through eye movement physiological indicators, and the concept of interaction was proposed to evaluate the design and display of online clothing.

This paper conducted interaction research on online clothing design factors and their combinations from the perspective of cognition and emotion, which provided an objective quantitative method for online clothing designers and online clothing retailers.

Previous studies have illustrated that relational embeddedness is an important factor in alliance governance, but the homogeneity of it turned out to be an obstacle in the path of alliance governance research. In light of this theoretical gap, the purpose of this study is to answering the following questions: Is relational embeddedness homogeneous? How does dual relational embeddedness and inter-firm trust influence alliance governance (especially the equity governance)?

Based on the perspective of transaction cost economics, there is traditional “transaction characteristics-prevention cost-alliance governance” framework from Williamson. In this study, we firstly introduce relational embeddedness and inter-firm trust into new model as moderating variable which based on the primary hypotheses in traditional framework; secondly, from the social network view, we analysis the dual nature of relational embeddedness and inter-firm trust. Thirdly, the authors refine the above moderating effect from different type of relational embeddedness and inter-firm trust. The authors conduct empirical analyses based on survey data of 328 Chinese manufacturing enterprises, and multiple regression analyses were used to test the above mentioned moderating effect.

The results show: ERE (economic relational embeddedness) and SRE (social relational embeddedness), respectively, lead to deterrence-based trust and knowledge-based trust. The ERE and deterrence-based trust strengthen the tendency towards hierarchical equity cooperation, while SRE and knowledge-based trust weaken the likelihood of equity cooperation choices being made.

This study has made some encouraging progress, but there are still some problems and elements worthy of further study. First, from the view of independent variables, the authors did not include any transaction characteristics (such as asset co-specificity) in our integrated model. Secondly, and most importantly, the authors found some variables outside the analysis framework (such as whether involving R&D or core technology). After interaction with these variables, it is possible that the moderating role of relational embeddedness and trust, and especially the effects of SRE and KBT on equity cooperative governance, may be reversed.

Inter-firm cooperation is an important and special organization, which can joint interdependent resources to create value. This paper provides suggestions to Chinese enterprises which could help them realize the duality of relationship character and how to properly implement alliance governance. It helps enterprises to realize that relational embeddedness is not homogeneous and clarify the relationship between inter-firm trust and alliance governance. This research indicates the firm manager that effective alliance governance comes from appropriate relational embeddedness and inter-firm trust.

Overall, three contributions emerge: first, the authors construct a relational embeddedness and classical framework that overcomes the traditional deficiencies of being static and one-sided. Secondly, the forward research of dual embeddedness and trust improves the relational embeddedness theory and provides new ideas for subsequent research. Last but not least, the research clearly indicates that ambidextrous relational embeddedness leads to ambidextrous trust, which not only refines the existing research into trust mechanisms, but also clarifies the relationship between trust and alliance governance.

The purpose of this paper is to propose meta‐synthetic ideas and knowledge asset management approaches to build a comprehensive strategic framework for Beijing City in China.

Methods include a review of relevant literature in both English and Chinese, case studies of different types of support frameworks in the UK, the USA, Singapore and Hong Kong, formulation of a meta‐synthetic support framework for Beijing City, and justification of its application to policy development by various studies. Three stages of meta‐synthetic support frameworks are proposed.

The suggested meta‐synthetic support frameworks are highly appropriate for the optimisation of, and innovation in, management and services systems of government information resources. The proposed knowledge asset management approaches offer significant practical value in improving the competence and capabilities of service‐oriented government, providing a set of solutions to identified, urgent problems, including a joint administration system for creating value, a release and distribution management system for sharing and protecting value, and a licensing and authorisation management system for adding value.

This paper focuses on the formulation of a theoretical support framework for the reuse of government information resources and the justification of its effectiveness to guide policy development at strategic level. Case studies of its application at operational level are ongoing and will be discussed in future papers.

The suggested meta‐synthetic support frameworks support the efficiency, effectiveness and economy of intelligent traffic administration, good governance of value‐added services based on government information resources, and intellectual activity around city travel and traffic. The study has wide implications for the improvement of service‐oriented government performance, public satisfaction and the image of government.

The paper presents the adaptation of meta‐synthetic ideas and knowledge asset management approaches to collaboration, optimisation, innovation and compliance management issues in the reuse of government information resources. The advantages of different types of support systems and frameworks are integrated as a coherent whole for a strategic framework of legal, regulatory and standards support to China and Beijing.

This paper aims to describe the main challenges of identifying and accessing useful information and knowledge about natural hazards and disasters results. The paper presents a grid‐based digital library system designed to address the challenges.

The need to organize and publish metadata about European research results in the field of natural disasters has been met with the help of two innovative technologies: the Open Grid Service Architecture (OGSA) and the Resource Description Framework (RDF). OGSA provides a common platform for sharing distributed metadata securely. RDF facilitates the creation and exchange of metadata.

Using grid technology allows the RDF metadata of European research results in the field of natural disasters to be shared securely and effectively in a heterogeneous network environment.

A metadata approach is proposed for the extraction of the metadata, and their distribution to third parties in batch, and their sharing with other applications can be a quickly process. Furthermore, a method is set out to describe metadata in a common and open format, which can become a widely accepted standard; the existence of a common standard enables the metadata storage in different platforms while supporting the capability of distributed queries across different metadata databases, the integration of metadata extracted from different sources, etc. It can be used for the general‐purpose search engines.

This paper aims to take a disaggregated approach to investigate the relationships between single entrepreneurial orientation (EO) dimensions and firm performance in the wine industry, with the generally established positive relationship between aggregated EO dimensions and firm performance.

Literature review, field studies, pilot tests, survey and structural equation modelling were used to build hypotheses and to test these hypotheses.

Proactiveness was identified to be the predominant EO dimension that contributed most to winery market performance. Entrepreneurial opportunity perception, however, was found to positively mediate the risk taking–winery market performance relationship, while negatively mediating the competitive aggressiveness–winery market performance relationship. The authors found no innovativeness and autonomy winery market performance relationships.

First, as with much survey-based research, the study relied upon self-report measures and there was only a 12.4 per cent response rate. Second, we used Australian wine industry cross-sectional data in the research. Third, this research used conceptual measures of market performance including sales growth, market share growth, profitability and customer retention. Fourth, while the present research investigated the mediating effects of entrepreneurial opportunity perception to introduce new wine styles/services into national and/or international markets, additional research could explore the same questions in the context of some specific types of entrepreneurial opportunity perceptions.

The research adds evidence to the ongoing debate about whether there are five or three EO dimensions by examining five EO dimensions and their individual relationships with firm market performance. This research meets Miller’s (2011) call for research on the disaggregation of EO components, in particular, research contexts. This research contributes to the limited empirical research on entrepreneurial opportunity perception. This research also has important practical implications for practitioners and government.

A multivariable model reference adaptive control method is proposed to solve a distributed leader–follower formation control problem of unmanned aerial vehicles (UAVs) with uncertain parameters and unknown external disturbances for both leader and followers.

A case of uncertain stochastic external disturbances for UAVs is considered, and based on the distributed communication network of UAVs, a state-feedback adaptive controller is proposed to maintain the formation of UAVs consistently. Then, the stability and asymptotic tracking performance of the UAV formation control system are analyzed by the Lyapunov function.

The simulation results demonstrate that this formation control scheme can effectively solve the stochastic external disturbance problem of UAVs and ensure the stability of their formation.

The proposed multivariable model reference adaptive control method reduces the error of formation control system and improves the stability and control performance of UAV compared with fixed control.

The purpose of this paper is to assess the process of prefabricated construction (PC) and analyze the impacts of rework risk to identify the core tasks for which the rework risk has severe impacts.

The methods consist of a literature review, expert interviews, a questionnaire survey and a rework risk function. The expert interviews and questionnaire survey were administered to experts in the entire process of PC from the dimensions of rework frequency, rework cost and rework time. Descriptive and inferential statistics were employed to analyze the data. The rework risk function was based on the loss expectancy method.

There are 13 core tasks that have higher impacts than the average level. The core tasks in the design stage account for 100% of the tasks in the stage, those in the manufacturing stage account for 20% and those in the construction stage account for 23.1%. Compared with the other stages, the design stage is characterized by significantly more frequent rework, higher rework costs and longer rework time. The manufacturing stage is characterized by significantly higher rework costs than the construction stage. The manufacturing stage and construction stage are co-reliant, and both are impacted by the design stage.

The findings provide stakeholders with a clear understanding of the core tasks of the PC process and represent a method for identifying core tasks. Stakeholders can learn from this to focus on the core tasks to reduce rework risk and manage the process with the priority of PC rework management based on the following order: design > manufacturing > construction. The approach is suitable for core task identification in other areas.

This research provides insight into rework risk management and provides a novel analysis method for rework risk and PC management from the perspective of the construction process. The findings are valuable for supporting stakeholders in making effective construction plans to reduce the impacts of rework risk in PC and provide a reference for future research on process optimization.