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The purpose of this study is to identify the factors determining collaborative innovation effect of manufacturing firms in emerging economies.

Based on a survey of 1,206 Chinese manufacturing firms and using structural equation modelling, this study explores the factors determining the effect of collaborative innovation among manufacturing firms (namely, internal capabilities, government policies, collaboration mechanisms and social networks) and examines the relationship between collaborative innovation effect and innovation performance.

The study finds that there are significantly positive relationships between firms’ internal capabilities, government policies, collaboration mechanisms and social networks and collaborative innovation effect among firms.

These findings reveal that policymakers should create an effective institutional culture and market environment to facilitate firms’ collaborative innovation.

This paper draws on the resource-based view of firms and contributes to understanding of how the development of factors determining firms’ collaborative innovation effect can improve innovation performance. This study extends established frameworks on collaborative innovation in relation to four dimensions, namely, firms’ internal capabilities, government policies, collaboration mechanisms and social networks, uniquely identifying the limits of specific dimensions. Moreover, this study addresses government policies and “Guanxi culture” specific to China that provide new insights into how firms’ collaborative innovation is improved from the perspectives of business–governmental relations and social networks.

Since megaproject social responsibility (MSR) has received increasing attention in megaproject management and plays critical roles in megaproject practices, the purpose of this paper is to explore how MSR facilitates an improved sustainability of the construction industry.

By integrating multiple theoretical perspectives of transaction cost theory, institutionalism and attention- and resource-based views, and by using survey data of Chinese megaprojects and construction enterprises, this paper offers a theoretical elaboration of and an empirical investigation into the impacts that MSR’s four dimensions exert on industrial improvement in economic sustainability and social responsibility.

The study’s empirical results indicate that MSR has positive impacts on improving the sustainability of the construction industry, and that such positive impacts are weakened by the interactions of primary stakeholders in the megaprojects but are strengthened by the interactions of secondary stakeholders.

This paper suggests that managers and policymakers make efforts to governmental guidance, media monitoring and public participation in megaprojects, so as to limit the potential unethical behaviors in megaproject management and enhance the sociopolitical legitimacy that are essential for the sustainability of the construction industry.

By analyzing the industrial outcomes of MSR, this paper extends studies on the topic beyond the current literature’s focus on the antecedents of MSR, and it enriches the research on MSR stakeholders by elaborating on the contingent roles of the various stakeholders in megaproject management.

Social responsibility (SR) has become critical in facilitating the sustainability of new infrastructure construction (NIC) and is also a nonnegligible aspect in its management. Although studies attempting to explore this issue from various and disparate perspectives have become increasingly popular, no consensus has yet been reached regarding what SR factors affect NIC management. This paper aims to establish an inventory of SR factors for NIC and reveal a comprehensive framework for SR of NIC (NIC-SR) management through an in-depth analysis of the relationships among factors.

This article proposes a mixed-review method that combines the preferred reporting items for systematic reviews and meta-analyses and content analysis methods as a solution.

From 62 chosen publications on NIC-SR published in peer-reviewed journals between 2010 and 2022, a total of 44 SR factors were found. These 44 SR factors were divided into 4 interconnected categories: political, ethics-environmental, legal and economic. Based on the interactions among SR factors and incorporating the impact of the four categories of SR factors on NIC management, an integrated framework from micro to macro was developed.

This paper educates researchers and practitioners about the SR factors that must be considered to improve the sustainability of NIC management and provides practical implications for architectural, engineering and construction (AEC) practices. Furthermore, it serves as an impetus for governments to improve their programs and policies and fulfill social responsibilities.

This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

This study aims to construct a theory of multi-dimensional organizational innovation cultures and innovation performance in transitional economies and explore the moderating effect of team cohesion on this theoretical relationship.

Using data collected from 175 manufacturing firms in transitional economies, this study constructs a new theory framework of multi-dimensional organizational innovation cultures (knowledge sharing, organizational innovation atmosphere, team decision-making and organizational change) and firms’ innovation performance and also explores the moderating effect of team cohesion on this theoretical relationship.

The findings show that there are positive relationships between knowledge sharing, organizational innovation atmosphere, team decision-making, organizational change and innovation performance of firms. Furthermore, team cohesion plays a positive moderating role in this relationship.

It extends the general understanding of multi-dimensional organizational cultures management in the context of transition economies by exploring the differences between the Chinese and Vietnamese firms in terms of the impact of organizational innovation culture on innovation performance.

This study constructs a new theory framework of multi-dimensional organizational innovation cultures along the four dimensions of knowledge sharing, organizational innovation atmosphere, team decision-making and organizational change. These factors together have rarely been examined before. Hence, the findings extend existing research on organizational cultures management. Moreover, a new idea for this study is that the authors consider team cohesion as a moderating variable between organizational innovation culture and innovation performance of firms, hence providing both theoretical discussion and empirical validation of the impact of team cohesion on this relationship. It thus extends existing research on the team theory.

The purpose of this paper is to investigate how revelations of corporate misconduct are associated with trade credit. Specifically, it investigates how this association varies in different regions, in different types of industries and in response to companies’ subsequent charitable donations.

The authors empirically tested various hypotheses using a sample of 2,725 Chinese A-share listed companies from 2009 to 2014 based on signaling theory. Fixed effect models underpinned the methods used.

The authors found that corporate misconduct has a significant negative impact on an irresponsible company’s trade credit received and granted, and the negative impact is heterogeneous for different regions and industries. There is no evidence that charitable donations mitigate the effect on the trade credit of irresponsible companies following revelations of corporate misconduct.

The results suggest that listed companies in China should obey national and local laws and regulations if they wish to avoid the risk of significant trade credit loss. If a company’s violation of these laws and regulations is disclosed, making charitable donations is not an effective strategy for safeguarding trade credit.

This study enriches understanding on the consequences of corporate misconduct and extends the literature on trade credit. It fills a research gap by identifying the impact of corporate misconduct on trade credit.

The numerous spoil grounds brought about by mega transportation infrastructure projects which can be influenced by the ecological environment. To achieve better management of spoil grounds, this paper aims to assess their comprehensive risk levels and categorize them into different categories based on ecological environmental risks.

Based on analysis of the environmental characteristics of spoil grounds, this paper first comprehensively identified the ecological environmental risk factors and developed a risk assessment index system to quantitatively describe the comprehensive risk levels. Second, this paper proposed a comprehensive model to determine the risk assessment and categorization of spoil ground group in mega projects integrating improved projection pursuit clustering (PPC) method and K-means clustering algorithm. Finally, a case study of a spoil ground group (includes 50 spoil grounds) in a mega infrastructure project in western China is presented to demonstrate and validate the proposed method.

The results show that our proposed comprehensive model can efficiently assess and categorize the spoil grounds in the group based on their comprehensive ecological environmental risk. In addition, during the process of risk assessment and categorization of spoil grounds, it is necessary to distinguish between sensitive factors and nonsensitive factors. The differences between different categories of spoil grounds can be recognized based on nonsensitive factors, and high-risk spoil grounds which need to be focused more on can be identified according to sensitive factors.

This paper develops a comprehensive model of risk assessment and categorization of a group of spoil grounds based on their ecological environmental risks, which can provide a reference for the management of spoil grounds in mega projects.

Threats from the informal sector have become an important concern among formal firms. As a response to these threats, formal firms can adopt product innovation (PI) and marketing innovation (MI) strategies to differentiate themselves. The purpose of this paper is to examine how firm-level technical capability and external institutional quality affect firms’ reactions to the threats from informal firms by adopting innovative activities.

Based on attention-based view (ABV), an empirical study is conducted by using firm-level data from the World Bank Enterprise Survey in 2013.

The findings indicate that when faced with competition from informal firms, formal firms will intensify their innovation activities in both MI and PI, and their technical capability mitigates the competitive threats from informal sectors and thus weakens the impact of informal competitors on the level of product and marketing innovations. Moreover, it is found that the improvement of institutional quality reduces formal firms’ urgency to introduce new products when facing informal competitors. However, this improvement strengthens the impact of informal rivalry on formal firms’ innovation in marketing methods.

Previous studies that investigate the influence of informal threats are focused on technological innovation (e.g., PI and process innovation) strategies, but little knowledge is provided on non-technological innovative strategies, such as marketing strategies (e.g., MI and organizational innovation). This study contributes to the innovation literature by delving into the circumstances under which PI and/or MI is adopted to counter informal rivals. The findings enrich ABV by investigating how inter-firm resource similarity and marketing commonality strengthen top managers' attention to competition from informal firms.

The authors develop a theoretical framework of how foreign competition in a firm's home country jointly interacts with other environmental factors to influence the internationalization pace. This study moves beyond the debate on whether foreign competition promotes or inhibits the internationalization pace by unpacking the nature of pace across strategic and operational dimensions. By differentiating the internationalization paces of market scope and international commitment, the study results show that foreign competition has a positive effect on the former and a negative effect on the latter. This indicates that the determinants of different paces are conditional upon the different knowledge types among foreign competitors.

Using a panel data set of Chinese construction corporations over the period from 2009 to 2015, the authors extend previous research on the effect of home country environment on internationalization behavior in an emerging economy by examining the effects of the interplay between foreign competition in home country and industrial contexts. The authors also explore the moderating effect of subnational institutions on the relationship between foreign competition and internationalization pace. They use a Poisson model and a GEE model to examine the main effects and moderating effects involved.

The results indicate that industry dynamism strengthens the positive effect of foreign competition and the pace of market scope, while industry munificence weakens the negative effect of foreign competition and the pace of international commitment. The authors’ findings support the coexistence of “pushing” and “pulling” effects of environmental factors from a firm's home country. The authors extend the argument of “institutional escapism” by focusing on subnational institutions. They show that firms located in a region with a low level of marketization are more likely to respond by accelerating the pace of their international expansion to escape from their home country.

The authors’ findings have implications for practitioners and policymakers working with emerging market firms (EMFs). The authors suggest that local governments should consider building high-quality institutions that can reduce the possibility of investment opportunities escaping EMFs. The authors’ findings indicate that international knowledge from foreign competitors may also assist EMFs in understanding more about the cultural environment before entering host countries, although it cannot help them to resolve cultural uncertainty when operating in host countries. Hence, managers should carefully evaluate their competitiveness before they decide to engage in global competition at an accelerated rate.