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The purpose of this paper is to develop a life cycle risk management framework for public private partnership (PPP) infrastructure projects that lead to the realization of value for money and balance of interests between different partners including the public and end users.

This paper draws on extensive theoretical research and literature reviews, coupled with case study methodologies. A comprehensive review of current literature in the field was first carried out. Then three PPP infrastructure projects, two from Australia and one from China, are studied to scrutinize reasons leading to their dilemma and articulate the valuable lessons learnt in relation to risk analysis and mitigation.

The paper found that properly assessing risks (financial, government's political and public's acceptance/rejection risks), ensuring value for money and protecting the public (and end users') interests are essential in PPP infrastructure projects and this can only be achieved through optimal risk identification, assessment, allocation and management from a life cycle perspective and balanced interests between the Government/public and private partners as well as product end users.

The paper was limited to proposing the framework; therefore the next step should be testing the framework.

The framework proposed in this paper should be practical and useful for professionals in managing the risks associated with the procurement of PPP infrastructure projects.

The PPP method has been increasingly used to procure large‐scale infrastructures such as freeways, railways, tunnels and bridges worldwide. While there have been many successful PPP projects, unsuccessful cases abound and studying them can help people better manage the risks in future PPP infrastructure projects. To ensure the success of PPP infrastructure projects, it is important for all partners to manage the risks from a project life cycle perspective, in which risks are identified and assessed in the earliest possible project stage and are allocated to the parties who are in the best position to control them. Furthermore, it is also important to continuous monitor the risks and develop proactive risk respond strategies throughout the project life cycle. To this end, this paper provides a life‐cycle risk management framework for PPP infrastructure projects.

City is an artificial dynamic open giant complex system, whose multifunctional and interdisciplinary characteristics leads to significant complexity. While challenges arising from individual urban functions have been the focus of urban studies, major urban challenges such as traffic congestion and inefficiency of resource usages may originate from the “interface” where different urban functions interact. Previous research has revealed the potential that regarding city as a system-of-systems (SoS) may shed light on solutions to various urban challenges. The paper aims to discuss these issues.

To examine this research potential, this paper begins with an overview of challenges in urbanization and current approaches which lack systematic solutions. The idea of applying SoS approach is then inspired by existing studies on urban metabolism where city is regarded as an entire system. This idea is followed by definition and characteristics of SoS, as well as comprehensive overview of the state of the art on SoS-based solutions to urban challenges. This paper then discusses the merits and limitations of current studies on SoS for urbanization, followed by a case study which precedes research visions.

The paper finds that regarding city as SoS is a potentially effective approach for urban studies. This is highlighted by original research visions on how to advance this line of research. These research visions point out a few ideas for future research. It particularly highlights the role of human and information in the establishment, management and evolution of various urban functions.

The originality of this paper lies in the use of the conception of “SoS” to emphasize the importance of properly modeling human and information in an urban system so as to better reveal the intra-SoS mechanism.

This paper aims to analyze the different impacts of monetary policy on the financing constraints of diverse enterprises from China by introducing the concepts of external and internal management factors, and on the investment efficiency of these enterprises with the help of “Hayek Triangle”.

Based on the concept of human action, this paper builds an empirical model which is remarkably different from previous related researches and conducts an empirical test by using the chosen sample data of 312 Chinese listed private companies from 2003 to 2012.

This paper shows that owing to the differences of management capacity of diverse enterprises, under the condition of the governmental micro-economic intervention in the allocation of credit funds, the loose monetary policy relieves the financing constraints confronted by the enterprises with better external management capacity, and aggravates the financing constraints confronted by the enterprises with better internal management capacity. This paper also shows that the loose monetary policy will distort the market interest rate signal, which in turn falsely directs the enterprises to divert resources from short-term to long-term investment projects.

These findings mean that under the condition of the loose monetary policy, contrasted with the private enterprises with better internal management capacity, the investment efficiency of the private enterprises with better external management capacity will be lowered because they are able to acquire more credit funds preferentially and readily.

This paper argues that the government should strengthen the ex-post property rights protection for financial transactions, reduce the micro-economic intervention in the credit funds allocation and improve the marketization level of the financial deals. Also, the government should prudently regulate macro-economy by monetary policy.

This paper is mainly based on the market process theory of Austrian School, and therefore initiates a totally new perspective for the research of corporate financing.

Along with traditional marketing channels, social media outlets are integrated as a part of the marketing mix. Social media has changed the dynamics of interaction between companies and consumers that foster this relationship. Managing brand fan pages on social networking sites is a specific way the companies are using. Customers can become brand fans on these pages and indicate that they like the brand posts, share on their wall or simply comment. The purpose of this paper is to analyse the impact of cultural differences on the effectiveness of social media metrics and scientifically tested brand engagement in terms of commitment, loyalty and brand recommendations.

The authors analysed 1,922 brand posts from five different brands of a single product category in three different countries. Ordinary least square and hierarchical moderation regression was used to test the hypotheses.

Results show that all determinants are not equally suitable for enhancement of number of likes, comments and shares. More specifically, vivid and interactive brand post determinants enhance the number of likes. Furthermore, interactive brand posts enhance the number of comments while vivid brand posts enhance number of shares. Moreover, impact and intensity vary across different cultures.

Brand fan page moderators can obtain guidance from the research in formulating their social media marketing strategies in order to decide which post determinants to place on the fan page.

The purpose of this paper is to examine the impact of perceived social media marketing activities (SMMAs) on customer loyalty via customer equity drivers (CEDs) in an e-commerce context.

The study surveyed 371 students from a large university in India. The data were analyzed via confirmatory factor analysis and the research hypotheses were examined using SEM.

The study revealed three key findings. First, perceived SMMAs of e-commerce comprise five dimensions, namely, interactivity, informativeness, word-of-mouth, personalization and trendiness. Second, perceived SMMAs of e-commerce have significantly and positively influenced all the drivers of customer equity (CEDs). Third, the CEDs of e-commerce exhibit a significant and positive influence on customer loyalty toward the e-commerce sites.

This study will help e-commerce managers to boost customer loyalty toward the e-commerce sites through perceived SMMA.

The study is the first to identify five dimensions of e-commerce perceived SMMA. The current study also introduces the stimulus–organism–response model as a theoretical support to connect perceived SMMAs of e-commerce to customers’ loyalty via CEDs. This is supposed to be the first study to examine the impact of perceived SMMA on customer loyalty toward the e-commerce sites via CEDs in the e-commerce industry.

Due to the lack of industrywide data, now there is only perceptual knowledge, through survey data, that construction firms may face great challenges in geographical diversification. The article aims to provide an objective description on the state of interregional market entry practices in the Chinese construction industry. How these practices are influenced by related set of regional and industry-related factors is further studied.

Description analysis of the practices is first performed based on a first-hand industrial data set including 1,020 projects and 404 construction firms. Combining provincial panel data in the National Bureau of Statistics of China, related regional and industry-related factors on these practices are further analyzed through hierarchical regression models.

(1) Interregional market entry practices are not quite prevalent during the past two decades, only involving 271 projects and 111 firms which accounts for 26.57% and 27.47% of the analyzed subjects respectively; (2) Large, state-owned and experienced firms are more frequently involved in the practices; (3) A number of regional factors such as local market protection and industry scale also significantly impact the practices.

The empirical analysis of this study was conducted using the specific dataset from the National Quality Award Projects where firms tend to be national, which may limit the generalizability of the findings to the whole industry contexts.

While most of the research on market entry practices in the project-based construction industry is undertaken at project or firm level based on survey data, this research represents an exploratory effort of using objective data to provide a macro overview of the practices at the industry level. The findings could contribute to a deepened understanding of how these practices are impacted by related regional- and industry-level factors.

Construction safety management (CSM) has been intensively researched in the last four decades but hitherto mostly aimed at understanding root causes of accidents, recommending preventive measures and evaluating their implications. However, a systematic effort to present a comprehensive picture of construction safety research is hardly witnessed. Therefore, the study aims to investigate construction safety research contributors, ontologies, themes, evolution, emerging trends and future directions using quantitative and qualitative content analysis.

A total of 877 journal articles were extracted using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and Scopus literature database and were analyzed using VOSviewer and Nvivo tools to present a comprehensive picture of the CSM body of knowledge.

The study observed rapid growth in construction safety research with contributions from various countries, organizations and researchers. This study identified 3 research levels, 8 project phases, 10 project types, 6 research instruments and 19 research data sources along with their usage in the research domain. Further, the study identified 13 emerging research themes, 4 emerging research trends and an observed paradigm shift from reactive to proactive CSM approach.

The comprehensive study on the emerging themes and findings on proactive CSM has strategic implications to practice to incorporate safety. The identified future directions can assist researchers in bridging the existing gaps and strengthening emerging research trends.

The study presents a comprehensive picture of the CSM body of knowledge using the content analysis approach that was absent in past literature and opened future research avenues.

Few of the established risk identification methods refer to low-severity yet high-frequency safety risks data that may lead to several safety risks being ignored, thus reducing the potential of learning from a considerable number of cases. The purpose of this study is to explore a new valid method based on preaccident safety supervision data to identify these minor construction safety risks during routine construction operations.

A total of 329 official construction safety supervision reports containing 5,159 safety problem records from Shanghai between 2016 and 2018 served as raw material for in-depth analysis. Given the characteristics of the data collected, text mining integrated with natural language processing was applied to review the supervision reports and group safety risks automatically.

This study clarifies the way in which the supervision data should be employed to analyze high-frequency–low-severity safety risks. From these data, seven unsafe-act-related and nine unsafe-condition-related risks are identified. Regarding unsafe-act-related risks, inappropriate human behaviors could usually occur in personnel management, contract management, expense management, material management and acceptance work. For unsafe-condition-related risks, hoisting, scaffolding and reinforcement works are the main generators of onsite safety hazards during construction operations.

The study includes implications for project managers and supervisors to facilitate more effective proactive risk management by paying more attention to collecting and employing the supervision data established in each routine inspection.

Whereas previous research focused on analyzing severe accidents, this study seeks to identify the high-frequency–low-severity construction safety risks using the preaccident supervision data. The findings could provide a new thought and research direction for construction safety risk management.

Despite its great potential to improve the sustainability of architectural, engineering, construction and facility management activities, the implementation of building information modeling (BIM) in many projects has failed to achieve expected benefits due to negative behavioral responses such as user resistance. This paper aims to characterize the complexity of end user's behavioral responses to BIM implementation in construction projects using a multidimensional perspective and examines how these responses are impacted by different levels of contextual factors.

By integrating technology acceptance, resistance and adoption literature, this paper theoretically proposes a research model to characterize the associations between different dimensions of behavioral responses and different levels of contextual factors. The model is then empirically tested with survey and interview data collected from BIM-based construction projects in China.

The empirical results not only validate the two-dimensional view of the behavioral responses (i.e. the dimension of support/resistance that ranges from aggressive resistance to enthusiastic support, and the dimension of actual use that ranges from non-use to high use) but also provide evidence for the prevalence of ambivalent responses such as supporting but lowly using and resisting but highly using. The empirical results also provide evidence that different levels of contextual factors generally play different roles in shaping the behavioral responses. Specifically, the dimension of support/resistance is more substantially impacted by the team-level factor while the dimension of actual use of BIM is more significantly associated with the project-level factor.

While previous research on BIM adoption or implementation behaviors has primarily focused on investigating users' response from single-dimension perspectives such as acceptance or non-acceptance, this study represents an exploratory effort of using a two-dimensional view to characterize the complexity and ambivalence of end users' behavioral responses to the implementation of innovative technologies such as BIM in construction projects. This study also contributes to deepened understandings of how these different dimensions of behavioral responses are intricately shaped by different levels (i.e. individual-, team- and project-levels) of contextual factors in construction projects which are characterized as temporary and inter-organizational.

The purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.

This study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.

The analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.

The findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.