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This paper aims to investigate the impact of halal awareness on the relationship between halal supply chain knowledge and purchase intention for halal meat products in the millennial generation.

The quantitative approach with the respondents of 177 millennial generations in Indonesia is selected to understand the relationships between variables. Structural equation model-partial least square is used to analyze the relationship between variables.

The findings of this study found that the purchase intention of halal products in the millennial generation is influenced by several factors such as halal supply chain knowledge, halal certification and logo and religious beliefs. However, the results of this study also show that concern for halal products failed to moderate the relationship between these three main variables on the purchase intention of halal products.

This study provides insights into the concern that strengthens the relationship between the main variables on the intention to purchase halal meat products for the millennial generation.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

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.

This study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated construction.

The structural equation model (SEM) is used to identify and verify the relationship between factors influencing supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. The system dynamics (SD) model is constructed to dynamically simulate the specific effects of different influencing factors.

Results indicate that: (1) An evaluation index system for supply chain resilience of prefabricated construction containing five first-level indicators and 36 second-level indicators is constructed; (2) Ability to anticipate, ability to respond, ability to adapt, ability to recover and ability to learn are positively correlated with the supply chain resilience of prefabricated construction and (3) ANT3 (information system), RES1 (quick response), ADA3 (buffer stock) and LEA4 (trust) are the most leading factors influencing supply chain resilience of prefabricated construction over time.

This study fulfills the need for an in-depth exploration of the various influencing factors on supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. Furthermore, this study provides improvement strategies to enhance supply chain resilience of prefabricated construction in China.

Significant unexplored research gaps exist in relation to assessing how governments influence innovations in the logistics and supply chains of SMEs to mitigate risks. This study emphasizes the impacts of regulatory coercion and government subsidization on logistics and supply chain innovations and the corresponding effect of logistics and supply chain innovations on financial performance, logistics and supply chain robustness, green competitiveness, social and environmental responsibilities.

Using a quantitative approach, partial least square structural equation modeling and a survey research design, data were collected and analyzed on 210 logistics and manufacturing firms.

The results support the fundamentals of the stakeholder theory and natural resources-based view (NRBV) regarding the positive impacts of regulatory coercion and government subsidization on logistics and supply chain innovations. Furthermore, logistics and supply chain innovations significantly influenced firm performance (financial performance, logistics and supply chain robustness and green competitiveness) and societal impact (social and environmental responsibilities). Particularly, while logistics and supply chain innovations had insignificant influence on social and environmental responsibilities, the effects of logistics and supply chain robustness were significant.

The study presents empirical findings on the impact of government influences on logistics and supply chain management and the corresponding implications for firms and society. Thus, this study contributes to corporate social responsibility (CSR) and logistics and supply chain literature and provides guidance for policymakers, industry players, scholars and practitioners.

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.