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The purpose of this study was to provide a holistic view of exhibition destination attractiveness by examining perceptions of two of the three key stakeholders (exhibition organizers and visitors) and contrasting them with those of exhibitors.

This research used a mixed method approach, collecting 535 responses from visitors attending nine business-to-business exhibitions in four major cities in China via structured surveys. In addition, eight in-depth interviews with CEOs/owners of leading global and Chinese exhibition companies were conducted.

The findings revealed that exhibitors may go almost anywhere where there is potential for successful business. In contrast, visitors prefer exhibition destinations with good accessibility to minimize travel time and an attractive leisure environment that offers a degree of enjoyment in addition to taking care of business. A destination’s “economic environment” and “cluster effects” were comparatively less important to them. Organizers were cognizant of these differences, contributing to their reluctance in taking large-scale, branded exhibitions to second-tier destinations, despite considerable efforts by these cities to improve their infrastructure.

This study offers practical guidelines for destination administrators and exhibition organizers with regard to evaluating destination resources for long-term exhibition development.

In contrast to prior studies, this research identifies significant differences in perceptions of exhibition destination attractiveness among all three key industry stakeholders. It also presents a persuasive case for the need to clearly differentiate between the attractiveness of a destination for attracting/hosting exhibitions versus conventions, rather than approaching the subject from a more generic meetings, incentives, conferences, and exhibitions (MICE) segment/business events perspective.

Research in consumer behaviour in the pro-environmental hospitality domain is limited. Furthermore, the efficiency of interventions using pictorial elements, with positive and negative framing, to influence travellers' intentions (INTs) to book green accommodation remains scarcely investigated. The theory of planned behaviour (TPB) offers a platform for testing interventions that could impact consumer behaviour. This study aims to introduce a TPB pictorial intervention in green accommodation and to provide a robust assessment of the intervention targeted at the TPB's factors.

The data were collected from Australian travellers who were exposed to convincing messages through pictorial elements. These featured either positive or negative pro-environmental effects of hotel operations. A usable sample size of 771 respondents has been achieved. A multi-group analysis using structural equation modelling was performed to investigate the intervention effect.

The results highlighted the supremacy of positive framing to influence travellers’ INTs regarding patronage of green accommodation. A knowledge-based approach to promoting green practices might encourage travellers to book green accommodations.

This study advances theory building in environmental communication. Subsequently, hoteliers might enhance their marketing strategies to publicise their pro-environmental programs.

Modular integrated construction (MiC) is an innovative and effective manufacturing-based method of construction that has become the mainstream development direction of projects in Hong Kong (HK). However, large-scale promotion of MiC practice still needs efforts. A pressing concern is that the impact of relevant policies on stakeholders during project implementation is rarely explored in depth. Therefore, to fill the research gap, this study aims to investigate the influence of policies on stakeholders to drive the successful implementation of MiC in HK.

This study uses a strategy of multiple methods. First, a comprehensively literature review and survey were adopted to identify critical policies and stakeholders. Second, semi-structured interviews with 28 experts were conducted to quantify their relationships. Third, three policy–stakeholder networks at initiation, planning and design and construction stages were established using social network analysis.

Environmental protection policy, COVID-19 pandemic policy and environmental protection policy and quality acceptance standard for project completion are found to be the most important policies of the three stages, respectively. The HK government and developers are highlighted as prominent stakeholders influencing policy implementation at all three stages. The dynamics of the influence stakeholders receive from critical policies at different stages of MiC are discussed. Valuable recommendations are accordingly proposed to enhance the successful implementation of MiC projects from the perspective of various stakeholders.

This study contributes to the body of knowledge by considering the mediating influence of stakeholders during policy implementation in the MiC uptake, and is valuable in helping policymakers to deeply understand the influence of policies to further forward successful MiC implementation and practicality in HK.

Owing to the importance of the investment behavior in China, the purpose of this paper is to find the influence of executive network and government governance on investment efficiency.

The paper use China’s listed companies as sample to make an investment efficiency determinant model.

In this article, the authors find that larger executive network and higher government governance will lead to more corporate investment efficient. Furthermore, the informal institution – executive network, is not only an effective way to alleviate financing constraints, but also can solve underinvestment problem. While the improvement of local government governance can provide institutional protection, it will also be more conducive to restrain overinvestment behavior.

The authors have not explored conduction path. Especially, the authors have not examined whether information spillover effect or the release of resources constraints in executive network plays a more important role to ease investment insufficient.

Under the Chinese circumstance, relationship governance can not only promote companies to improve investment efficiency, but also provide an important guarantee for sustained macroeconomic growth.

This study aims to identify the stakeholders and critical factors (CFs) of promoting age-friendly communities (AFCs), discuss the relationship between the stakeholders and CFs and develop a preliminary framework for the briefing stage of promoting AFCs in urban China.

Stakeholders and CFs were identified through literature review and document analysis. The Delphi method was used to screen the extracted stakeholders and CFs. The focus group methodology was applied to obtain evaluation matrices of relationships between stakeholders and CFs. A two-mode social network was formed to analyse the evaluation matrices generated.

Results of the analyses indicate that local governments and policymaking institutions, together with project investors, obtained high prioritisations in the stakeholders' group, whilst senior citizens and caregivers appear to rank last. For CFs, communities' environmental factors receive the most attention from stakeholders.

Results of the analyses can only show similarities of the participating stakeholders' opinions on their concerns, and provide researchers and practitioners with initial ideas on analysing stakeholders and CFs at the briefing stage of promoting AFCs. For a specific project, the concerns and prioritisations would change. Diverse voices are necessary and case studies are in need.

Challenges in promoting AFCs in urban China are discussed, and a preliminary framework of the briefing stage is developed for practitioners to follow when promoting AFCs.

This study discusses which CFs should be considered priorities and what consensuses are generally reached by stakeholders. CFs are utilised to interpret stakeholders' relationships, influences and concerns on AFC projects when conducting the social network analysis (SNA).

The applications of multi-agent systems (MASs) are considered to be among the most promising paradigms for detailed investigations and reliable problem-solving methods, and MAS applications make it possible for researchers and practitioners to better understand complex systems. Although a number of prior studies have been conducted to address complex issues that arise from construction projects, few studies have summarised the applications and discussed the capacity of MASs from the perspective of construction management. To fill the gap, this paper provides a comprehensive literature review of MAS applications from the perspective of construction management.

Web of Science and Scopus are the most commonly used international databases in conducting the literature reviews. A total of 86 relevant papers published in SCI-Expanded, SSCI and Ei Compendex journals related to the application of MASs from the perspective of construction management are selected to be analysed and discussed in this paper.

Based on the 86 collected publications, the utilisations of MASs to support the management of the supply chain and the improvement of project performance are identified from the perspective of construction management, the characteristics and barriers of current MAS applications are analysed, a framework for developing agent-based models to address complex problems is proposed, and future research directions of MAS applications are discussed.

This review can serve as a useful reference for scholars to enhance their understanding of the current research and guide future research on MASs. The proposed framework can help build agent-based models to address complex problems in construction management.

The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML’s diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics.

The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a “snowballing” technique, a total of 47 articles form the basis of the review.

The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions.

To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models.

The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution.

Improved LML performance would have positive societal impacts in terms of service and resource efficiency.

This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.

The modern manufacturing industry has put forward higher requirements for the assembly accuracy of components with the development of the industrial technology. For precision assembly, the traditional assembly process study based on tolerance has had difficulty in meeting these requirements. Hence, the distribution of the form errors must be considered. The registration between the two mating surfaces with form errors determines the parts’ assembly position, and is the basis for the prediction and control of the assembly accuracy. This study aims to provide a new surfaces registration method which takes form errors into consideration.

This study presents a new registration approach based on the minimum potential energy. A unique set of contact points on mating surfaces that meet the actual conditions can be obtained and the spatial position of the assembled part is calculated.

The experimental results show that the calculated values are in good agreement with the experimental values. Furthermore, the root mean square error is within 2%, which proves the validity and accuracy of the approach.

This paper provides an effective and new method for precision assembly which takes form errors into consideration. The method can give the optimal solution of the contact points, which is more consistent with the actual assembly situation and provides a basis for predicting assembly accuracy.

This study provides empirical support for the cultural economics model between executive team and firm performance and offers important implications for policy selection and appointment of managers in China.

From the perspective of relationship embeddedness, the authors explore the impact of management geographical proximity (GP) on stock price crash risk in China. Using archival data from China's unique dataset about birthplace culture, the authors find that management GP experiences a large increase in corporate stock price crash risk for the period 2009–2018.

The impact of management GP on stock price crash risk is more pronounced when the company is located in areas with weaker formal legal environment and stronger Confucian culture. Furthermore, the impact has a significant links with firm characteristics such as information transparency, over-investment and tax aggressiveness.

First, the research extends the literature on the empirical determinants of stock price crash risk. These studies focus on formal institution, not on informal institution, such as relational culture. Second, the research provides evidence for economic consequences on relational governance from executive birthplace culture to explore the economic consequences of geographical relational governance but takes stock price crash risk to present executives' behavior strategies and market reaction via exploring asymmetrical variation of market stock price. Finally, the paper provides reference to corporate governance arrangement and executive appointment.

The purpose of this paper is to examine the impact of knowledge management (KM) on the total factor productivity (TFP) at the organizational level in Egypt.

Using the novel available EC 2013 data set, which includes approximately 60,000 private organizations in Egypt, the paper explores the relationship between KM and TFP. For the purpose of dealing with endogeneity, the two-stage least squares econometric model has been implemented.

The study reveals that KM impacts positively the TFP of the Egyptian organizations. Conspicuously, each 10 percent increase in KM is associated with 9.3 percent increase in TFP.

The role of KM in the organizations has been under-researched globally, especially in Africa. This study contributes to the current literature by assessing the impact of KM on TFP, which represents the most comprehensive measure of the firm productivity; by implementing a novel instrumental variable in order to deal with endogeneity between KM and TFP; and by generating a more nuanced measure for the knowledge intensity that is not based on any financial indicator as in the most of the previous studies. Original findings can be highlighted from the paper as it demonstrates that the impact of KM is more important than proposed by the current literature. Conspicuously, the KM does not merely impact the customer satisfaction, the quality improvement and the profit margin, but it also impacts the TFP of the organizations.