Search results

The purpose of this paper is to investigate the relationship between relational capital and supply chain collaboration (SCC) and how this relationship relates to innovation. The authors propose a theoretical framework to illustrate the effect of relational capital on three dimensions of collaboration and radical and incremental innovation.

The paper has a quantitative approach. The authors conducted the survey to collect the data from 225 suppliers in the Hunan province of China. The proposed model is tested with exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

The findings show that relational capital can facilitate information sharing and benefit/risk sharing when firms work together to achieve innovation. Furthermore, the results indicate that relational capital leads to radical innovation through facilitating information sharing among firms and helps in generating incremental innovation by encouraging firms to share risks and benefits with their partners.

The findings of this study give some suggestions for managers of the firms in terms of building their collaborative strategies. Managers should exploit relational capital to build successful and long-term collaboration. Also, through relational capital, managers can share information to create radical innovation or pool risks and share benefits with their customers to achieve incremental innovation.

This study provides a nuanced understanding of the relationship between relational capital, different dimensions of SCC and innovation in the context of a developing economy. Moreover, the findings provide a clearer understanding of the collaborative mechanism of relational capital and collaboration to achieve radical and incremental innovation.

The purpose of this paper is to measure trust that logistics/supply chain management (SCM) managers of supplier firms perceive toward inbound SCM managers of buyer firms, and investigate the effect of trust on supply chain collaboration and logistics efficiency. In doing so, two trust forms are introduced: affective trust and trust in competency. Besides, supply chain collaboration includes the three dimensions: joint decision making, information sharing, and benefit/risk sharing.

A path analysis was used to test whether the two trust forms affect the three dimensions of supply chain collaboration, and then, the three dimensions of supply chain collaboration, in turn, affect the logistics efficiency of supplier firms. An empirical analysis was conducted with Korean firms.

Affective trust has a significant influence on collaboration in information sharing and benefit/risk sharing, whereas trust in competency affects collaboration in joint decision making and benefit/risk sharing. Regarding supply chain collaboration, joint decision making and information sharing are found to affect logistics efficiency. Insignificant relationships are detected between affective trust and joint decision making, between trust in competency and information sharing, and between benefit/risk sharing and logistics efficiency.

By classifying trust into affective trust and trust in competency and by incorporating the three dimensions of collaboration, this paper analyzes the causal effect of suppliers' trust at the inter‐personal level on supply chain collaboration and logistics efficiency, and discusses the results compared to those focusing on buyers' trust.

Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income distribution of PPP projects play a vital role in achieving project success. This paper is aimed at building a practical and effective risk sharing and income distribution model to achieve win–win situation among different stakeholders, thereby providing a systematic framework for governments to promote construction waste recycling.

Stakeholders of construction waste recycling PPP projects were reclassified according to the stakeholder theory. Best-worst multi–criteria decision-making method and comprehensive fuzzy evaluation method (BWM–FCE) risk assessment model was constructed to optimize the risk assessment of core stakeholders in construction waste recycling PPP projects. Based on the proposed risk evaluation model for construction waste recycling PPP projects, the Shapley value income distribution model was modified in combination with capital investment, contribution and project participation to obtain a more equitable and reasonable income distribution system.

The income distribution model showed that PPP Project Companies gained more transaction benefits, which proved that PPP Project Companies played an important role in the actual operation of PPP projects. The policy change risk, investment and financing risk and income risk were the most important risks and key factors for project success. Therefore, it is of great significance to strengthen the management of PPP Project Companies, and in the process of PPP implementation, the government should focus on preventing the risk of policy changes, investment and financing risks and income risks.

The findings from this study have advanced the application methods of risk sharing and income distribution for PPP projects and further improved PPP project-related theories. It helps to promote and rationalize fairness in construction waste recycling PPP projects and to achieve mutual benefits and win–win situation in risk sharing. It has also provided a reference for resource management of construction waste and laid a solid foundation for long-term development of construction waste resources.

PPP mode is an effective tool for construction waste recycling. How to allocate risks and distribute benefits has become the most important issue of waste recycling PPP projects, and also the key to project success. The originality of this study resides in its provision of a holistic approach of risk allocation and benefit distribution on construction waste PPP projects in China as a developing country. Accordingly, this study adds its value by promoting resource development of construction waste, extending an innovative risk allocation and benefit distribution method in PPP projects, and providing a valuable reference for policymakers and private investors who are planning to invest in PPP projects in China.

Building a smart city is a necessary path to achieve sustainable urban development. Smart city public–private partnership (PPP) project is a necessary measure to build a smart city. Since there are many participants in smart city PPP projects, there are problems such as uneven distribution of risks; therefore, in order to ensure the normal construction and operation of the project, the reasonable sharing of risks among the participants becomes an urgent problem to be solved. In order to make each participant clearly understand the risk sharing of smart city PPP projects, this paper aims to establish a scientific and practical risk sharing model.

This paper uses the literature review method and the Delphi method to construct a risk index system for smart city PPP projects and then calculates the objective and subjective weights of each risk index through the Entropy Weight (EW) and G1 methods, respectively, and uses the combined assignment method to find the comprehensive weights. Considering the nature of the risk sharing problem, this paper constructs a risk sharing model for smart city PPP projects by initially sharing the risks of smart city PPP projects through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the independently borne risks and the jointly borne risks and then determines the sharing ratio of the jointly borne risks based on utility theory.

Finally, this paper verifies the applicability and feasibility of the risk-sharing model through empirical analysis, using the smart city of Suzhou Industrial Park as a research case. It is hoped that this study can provide a useful reference for the risk sharing of PPP projects in smart cities.

In this paper, the authors calculate the portfolio assignment by EW-G1 and construct a risk-sharing model by TOPSIS-Utility Theory (UT), which is applied for the first time in the study of risk sharing in smart cities.

The purpose of this paper is to identify and discuss the most important research areas on information sharing in supply chains and related risks, taking into account their evolution over time. This paper sheds light on what is happening today and what the trajectories for the future are, with particular respect to the implications for supply chain management.

The dynamic literature review method called Systematic Literature Network Analysis (SLNA) was adopted. It combines the Systematic Literature Review approach and bibliographic network analyses, and it relies on objective measures and algorithms to perform quantitative literature-based detection of emerging topics.

The focus of the literature seems to be on threats that are internal to the extended supply chain rather than on external attacks, such as viruses, traditionally related to information technology (IT). The main arising risk appears to be the intentional or non-intentional leakage of information. Also, papers analyze the implications for information sharing coming from “soft” factors such as trust and collaboration among supply chain partners. Opportunities are also highlighted and include how information sharing can be leveraged to confront disruptions and increase resilience.

The adopted methodology allows for providing an original perspective on the investigated topic, that is, how information sharing in supply chains and related risks are evolving over time because of the turbulent advances in technology.

Emergent and highly critical risks related to information sharing are highlighted to support the design of supply chain risks strategies. Also, critical areas to the development of “beyond-the-dyad” initiatives to manage information sharing risks emerge. Opportunities coming from information sharing that are less known and exploited by companies are provided.

This paper focuses on the supply chain perspective rather than the traditional IT-based view of information sharing. According to this perspective, this paper provides a dynamic representation of the literature on the investigated topic. This is an important contribution to the topic of information sharing in supply chains is continuously evolving and shaping new supply chain models.

This article aims to establish a dynamic Energy Performance Contract (EPC) risk allocation model for commercial buildings based on the theory of Incomplete Contract. The purpose is to fill the policy vacuum and allow stakeholders to manage risks in energy conservation management by EPCs to better adapt to climate change in the building sector.

The article chooses a qualitative research approach to depict the whole risk allocation picture of EPC projects and establish a dynamic EPC risk allocation model for commercial buildings in China. It starts with a comprehensive literature review on risks of EPCs. By modifying the theory of Incomplete Contract and adopting the so-called bow-tie model, a theoretical EPC risk allocation model is developed and verified by interview results. By discussing its application in the commercial building sector in China, an operational EPC three-stage risk allocation model is developed.

This study points out the contract incompleteness of the risk allocation for EPC projects and offered an operational method to guide practice. The reasonable risk allocation between building owners and Energy Service Companies can realize their bilateral targets on commercial building energy-saving benefits, which makes EPC more attractive for energy conservation.

Existing research focused mainly on static risk allocation. Less research was directed to the phased and dynamic risk allocation. This study developed a theoretical three-stage EPC risk allocation model, which provided the theoretical support for dynamic EPC risk allocation of EPC projects. By addressing the contract incompleteness of the risk allocation, an operational method is developed. This is a new approach to allocate risks for EPC projects in a dynamic and staged way.

The purpose of this paper is to identify and analyse collaborative risk management (CRM) literature to establish its current position in supply chain risk management (SCRM) and propose an agenda for future research.

A systematic literature review of 101 peer-reviewed articles over a 21-year period was employed to analyse literature and synthesise findings to clarify terminology, definitions, CRM capabilities, and underlying theory.

CRM as a field of research is in its infancy and suffers from imprecise definitions, fragmented application of capabilities, and diverse theoretical foundations. The term CRM is identified as a more representative description of relational risk management arrangements. Six capabilities relevant to CRM are identified: risk information sharing, standardisation of procedures, joint decision making, risk and benefit sharing, process integration, and collaborative performance systems.

The paper provides a new definition for CRM; proposes a holistic approach in extending collaboration to SCRM; identifies a new capability; and provides a range of theories to broaden the theoretical scope for future research on CRM.

We examine how business group affiliation affects corporate debt maturity.

This study employs the financial data of all listed Indian companies obtained from the CMIE database for 2011–2018. The ordinary least square, firm-fixed effect and Fama–Macbeth regression methods are used for empirical analysis. We use propensity score matching and difference-in-difference method to address endogeneity issues. Further, two-stage least square (2SLS) regression is performed to mitigate the endogeneity that stems from simultaneity between debt maturity and leverage.

Using Indian firms, we report that group affiliation is positively associated with corporate debt maturity; group firms use more long-term debt compared to similar standalone firms. We also observe that the positive effect of group affiliation on debt maturity is more pronounced in business group firms associated with a group having more resources and having unrelated diversification. However, information asymmetry and moral hazard problems weaken the impact of group affiliation on debt maturity structure of a firm. Overall, our results are consistent with co-insurance benefits that are an argument for the presence of business groups in emerging markets.

This study contributes to the existing literature by testing the role of group affiliation on corporate debt maturity decisions in the Indian market context where market imperfections persuade firms to borrow from banks. This is also the first study on determinants of corporate debt maturity that distinguishes between public and private debt.

The purpose of this paper is to systematically review, synthesize and critically evaluate the current research status on the role of collaborative interorganizational relationships (CIRs) in supply chain risks (SCRs) from a social capital perspective and provide an organizing lens for future scholarship in this area.

This study adopts a systematic literature review approach to investigate 126 articles from 27 peer-reviewed journals between 1995 and 2020.

This paper investigates supply chain CIRs using a social capital perspective to explain the role of structural, relational and cognitive capital that resides in these relationships in various SCRs (i.e. environmental, supply, manufacturing, demand, information, financial and transportation). The review reveals that the three social capital dimensions uniquely and both positively and negatively affect different SCRs. The findings further suggest that the perceived SCRs can influence the structural and relational capital.

This study calls for practitioners to consider the cognitive alignment with their supply network partners, their relational investments, as well as the interorganizational processes and systems in managing and alleviating SCRs.

This review offers a theoretical articulation of how various aspects of CIRs affect SCRs. Specifically, this study extends the existing understanding of the role of social capital in SCRs through offering a synthesis of dominant findings and discourses, and avenues for future research.

This study recognizes service as the majority contributor to global and US gross domestic product and the importance of innovation speed to service innovation. Generating innovative products and services at a faster rate generates advantages for business-to-business (B2B) service organizations in keeping up with and moving ahead of rivals. This study aims to introduce the concept of capacity for social exchange (CSE) in buyer–supplier relationships, which reflects the degree to which individuals possess competencies that enable the exchange of information, and this study also explores how CSE affects knowledge sharing and innovation speed within a supply chain organization.

The sampling frame of this research consisted of service businesses in the USA. The data were collected through Zoomerang, an online survey research firm where the B2B panel of Zoomerang formed the sampling frame. The data was collected from 264 B2B service sector executives.

The key findings are as follows: CSE facilitates knowledge sharing; knowledge sharing is positively related to innovation speed; and the relationship between CSE and innovation speed is fully mediated by knowledge sharing. Additional analysis reveals that knowledge channels which are designed as boundary-spanning strategies used to transfer and create knowledge between business units, directly increase – and positively moderate – the relationship between CSE and innovation speed.

This study addresses the gap in literature focused on micro-level influencers on innovation. This study sets out by presenting the concept of CSE, and this study addresses limitations in prior work by examining the research questions.