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The purpose of this study is to develop models and analyse the influence of supply chain governance (SCG) and its conceptions (contractual, relational and transactional) on supply chain performance (SCP).

Multiple case studies and survey methods were used. Data collection in the multiple case studies was performed by in-depth interviews with supply chain executives from top strategic levels in six companies. The research instrument was applied to 185 executives from large companies that possessed a broad, complex supply chain in Brazil.

It was identified that SCG, comprising contractual, relational and transactional aspects, has a positive influence on operational and financial SCP. SCG was found to be a more comprehensive view of the supply chain that focuses on more strategic aspects and long-term inter-organizational relationships. SCG affects SCP, primarily in the operational aspects with regard to global costs and in the financial aspects of investment return.

SCG is a topic that has been widely studied in recent years for analysing inter-organizational relations as a multi-dimensional phenomenon embedded in the company’s structures and processes. Studies analysing all aspects of SCG at the same time, however, have not been found. Moreover, there are a number of performance indicators, but there is a lack of consensus on what determines the performance of these supply chains. Furthermore, few studies have attempted to understand the effects of SCG on supply chain performance.

This study aims to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their resulting impact on the network rent.

Leveraging the theoretical lens of social exchange theory and the relational view and utilizing the survey data derived from the transitional triadic supply chains, the authors used multiple regression analysis and the partial least squares (PLS) path model. The regression analysis with interaction effects is used to indicate the network rent, while the PLS path model is applied to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their subsequent impact on the network rent.

The authors empirically establish that manufacturer relational embeddedness, as a higher-order factor, can comprise both upstream and downstream relational embeddedness. The research also demonstrates that manufacturer relational embeddedness significantly contributes to the manufacturer’s eagerness to form a direct link between the supplier and the customer, and the manufacturers report a significant ability to affect this relationship. Likewise, the study shows that supplier-customer relational embeddedness significantly and positively affects the network rent. In addition, the study implies that supplier-customer relational embeddedness is a mediator between manufacturer influence and the network rent, while manufacturer influence is a suppressor variable, which increases the negative relationship between manufacturer relational embeddedness and supplier-customer relational embeddedness.

The research makes three key contributions. First, this study, as one of very few, simultaneously embraces context, intervention, mechanism and outcome, while investigating the role of manufacturer (its relational embeddedness and influence) in promoting supplier-customer relational embeddedness, and its resulting effect on the network rent. Further on, to the best of the authors’ knowledge, this is the first empirically based study that demonstrates to what extent the manufacturer is capable of fostering supplier-customer relational embeddedness, thus favoring the transposition from the intransitive into the transitive triadic supply chains. Finally, to date, the concept of network rent has been mostly conceptualized as the theoretical construct with no empirical evidence. This research offers guidance for manufacturers in managing the relationships between the supplier and the customer to yield the highest network rent.

This study provides a novel approach to investigating the role of manufacturer and relational embeddedness in yielding the network rent in the transitional triadic supply chains.

The performance of service supply chains in terms of service levels and cost efficiency depends not only on the effort of service providers but also on the inputs of sub-contractors and the customer. In this sense, performance-based contracting (PBC) entails increased financial risk for providers. Allocating and managing risk through contractual relationships along the service supply chain is a critical issue, and yet there is scant empirical evidence regarding what factors influence, and how, provider willingness to bear PBC-induced risk. This paper aims to address this gap.

The paper draws on agency theory and two cases of logistics service supply chains, in the food retail and automotive industries respectively, to identify key influencing factors. Data were collected through semi-structured interviews with 30 managers of providers and sub-contractors and review of 35 documents, notably contracts and target letters.

Four influencing factors were found: performance attributability within the service supply chain; relational governance in service supply chain relationships; provider risk and reward balancing; and provider ability to transfer risk to sub-contractors. The propositions developed address how these factors influence provider willingness to bear PBC-induced risk.

The factors identified are external to the provider mindset and refer to the management of contractual relationships and service delivery interactions along the service supply chain. The paper contributes to agency theory by stressing the risk allocation implications of bi-directional principal-agent relations in service supply chains.

The study suggests ways in which providers can increase their capacity to bear and manage financial risk related to PBC design.

The paper identifies factors that influence provider willingness to bear financial risk induced by PBC in service supply chains.

The objectives of this paper were twofold: to explore if there are differences in the perceptions about supply chain performance (SCP) and relationship quality (RQ) among traditional food supply chain members, and to examine the influence of individual relationship variables and aggregated relationship quality on SCP in the traditional food sector.

The survey was conducted in a triadic context with 189 supply chain members (62 suppliers, 65 focal companies and 62 customers) of 65 traditional food supply chains (cheese, olive oil, meat products, brandies and liqueurs, wine and honey) in Croatia. The influence of individual relationship variables and aggregated RQ on perceived SCP was tested using regression analysis.

It was found that there were no significant differences in the perception of overall SCP and RQ among supply chain members. It was identified that aggregated RQ and all individual relationship variables (trust, commitment, economic satisfaction, non-coercive and coercive power, reputation and conflict) have a significant influence on perceived SCP of the traditional food supply chains.

This study provides a systematic approach to investigate the SCP and supply chain RQ in the traditional food sector. The findings suggest that managers should not neglect any aspect of supply chain relationship to keep high SCP and to be competitive on the market.

This multiple supply chain study makes an original empirical contribution to the supply chain and network management literature by using a triadic approach to investigate RQ and SCP. The influence of individual RQ constructs and aggregated RQ on traditional food SCP examined in this study has not been explored thus far. This study also makes an original empirical contribution by investigating RQ and SCP in the traditional food sector, which has received little attention recently.

The implementation of sustainable supply chain management (SCM) calls for an acknowledgement of uncertainty inherent in complex environment. Confucianist society forms social networks in Confucianist society, called guanxi networks, influence economic behaviours and business practices in the workplace. The purpose of this study is to explore how these social networks influence the implementation of sustainable SCM. In doing so, this study aims to critically investigate the constructs of guanxi networks, their impact on flow of supply chain capital and how this leverages the implementation of sustainable SCM.

Two systematic literature reviews are conducted to understand the constructs of social networks in Confucianist culture and their impacts on the flow of supply chain capitals. The reviews also analyse evidence related to the economic, social and environmental practices to reveal the current state of the literature and research gaps. Propositions and a framework are developed to support future research in this area.

The constructs of ganqing, renqing, xinren and mianzi in guanxi networks have expanded the contexts of social networks in Western literature. Guanxi networks increase the flow of supply chain capital and generate trust between players, thus enhancing capabilities to implement sustainable SCM. Guanxi networks also create the mechanism of network governance with which to increase sustainable SCM implementation under the institutional logics of sustainability.

The conceptual framework and justification are based on the reviews of current studies in the field. Future empirical study is encouraged to test the propositions, both in Confucianist culture and other countries with culture of social networks.

Social networks are socially constructed concepts. The constructs of guanxi networks revealed in this study have developed the knowledge of Western-based social network theory. Besides, arguments from a social network perspective provide an alternative answer to explain increased behavioural commitment and companies’ investment in sustainable SCM. This study helps practitioners understand the logic of this social norm and to use it to maximise their operation outputs, including sustainable SCM implementation.

The purpose of this study is to investigate the factors affecting the intention to adopt blockchain technology (BT) in operations and supply chain and to explore the moderating role of sustainability-oriented supplier development on the effects studied.

The authors developed a conceptual framework based on the integration of technology-organization-environment (TOE) framework and diffusion of innovation (DOI) theory along with several strands of the literature in supply chain management and information systems. Drawing on survey data from 412 supply firms, a novel model using partial least squares structural equation modeling (PLS-SEM) was empirically tested in the context of the apparel industry of Bangladesh – the world's second-largest apparel supplier nation.

The findings supported the theoretical framework developed. In particular, the findings suggested that supplier firms' intention to adopt blockchain in supply chains is influenced by relative advantage, compatibility, perceived trust, top management considerations, absorptive capacity, information sharing and collaborative culture, and trading partners' influence. However, regulatory support is yet to play a significant role in blockchain adoption behaviour. The findings also suggest that supplier development for sustainability significantly moderates the relationship between the several drivers' (e.g. relative advantage, compatibility, top management considerations and trading partners' influence) effects on blockchain adoption.

The findings could help in developing an enabling environment for introducing blockchain-based apparel operations and supply chains.

The study contributes to and expands the embryonic research stream of sustainable supply chain management and BT. In particular, the paper provides neoteric evidence on how supplier development towards achieving sustainability moderates the effects of organizational, technological, and environmental drivers on the intention to adopt BT.

The present study aims to examine the relationship between techno-ethical orientation and ethical decision-making (EDM) in Indian supply chain companies during the COVID-19 pandemic. It also aims to explore the moderating role of technological frames (TF) in the relationship between techno-ethical orientation and EDM.

The relationship between techno-ethical orientation and EDM is examined using correlation and regression analysis. The moderating effect of five dimensions of TFs (personal attitude, application value, organisational influence, supervisor influence and industry influence) is analysed using structural equation modelling.

The correlation coefficient between techno-ethical orientation and EDM is 0.513. Also, the regression coefficient (β = 0.213) is significant at 0.05, establishing a positive linkage between the two. R-square values showed a 45.2% variation in EDM is explained by techno-ethical orientation. Similarly, all variables of TFs have a positive and significant moderating effect on the relationship between techno-ethical orientation and EDM.

This is one of the pioneer studies exploring techno-ethical orientation’s impact on EDM in supply chain companies.

This interdisciplinary investigation examines the topics of organizational climate and subcultures, which have received scant attention in the supply chain literature, highlighting the potential importance of these social dynamics to supply chain management phenomena.

The authors use a single-organization revelatory case study design, qualitatively analyzing coded interviews and observations of participants.

The authors’ findings indicate that a firm's organizational climate can contribute to the formation and strengthening of a subculture and that the subculture may desire to insert their own values and norms concerning supply chain management which could run counter to those of the overall company.

The authors theorize about the conditions under which strong subcultures emerge and that they may exert outsized influence on the way a company approaches supply chain management activities. Accounting for such influence may unearth important social dynamics occurring within supply chain phenomena that will better help researchers understand behavior and outcomes within that phenomenon.

Managers should be aware of the potential for subgroups to form strong subcultures and that subcultures may influence the way supply chain activities are performed. Climate dynamics can also affect employee perceptions and behaviors, and managers should monitor these dynamics and adapt their policies and messaging accordingly.

This study examines a phenomenon that has previously been underexamined in the supply chain management literature–the influence of culture and climate on subcultures and their subcultures' subsequent impact on how companies perform supply chain management activities.

This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains.

A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews.

The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance.

In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance.

The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.

This study primarily explores the influence of green warehousing, logistics optimization and social values and ethics on supply chain sustainability and economic performance. The study further examines the mediating role of supply chain sustainability between economic performance and green warehousing, logistics optimization and social values and ethics.

The study employs a quantitative research approach where survey data are collected from 200 managers of manufacturing companies in Ghana. The dataset is analyzed using partial least square structural equation modeling software (PLS-SEM) SmartPLS 3.

The results show that green warehousing and logistics optimization negatively influence economic performance but improves economic performance through supply chain sustainability. It is further discovered that social values and ethics have a positive influence on supply chain sustainability and economic performance.

This paper proposes and tests a theoretical model that explores the relationships between green warehousing, supply chain sustainability, economic performance, logistics optimization and social values and ethics through the resource dependency theory (RDT) in the manufacturing firms in Ghana.