Collaboration in demand-driven supply chain: Based on a perspective of governance and IT-business strategic alignment

Operational collaboration in a supply chain is important due to the fierce competition among supply chains. However, the collaboration in a supply chain is often hindered by its distribution channel’s lack of funds. It is of significance to alleviate the capital constraint problem of the distribution channel and explore new joint operational and financial collaboration solutions. In this paper, we focus on exploring the optimal solution of operational collaboration in the presence of manufacturer collateral. We consider a supply chain consisting of a well-capitalized manufacturer and a capital-constrained retailer that faces difficulties obtaining credit from the bank. To help the retailer access financing for a purchase order, the manufacturer promises to pay the lender a proportion of the retailer’s loan if the retailer goes bankrupt. We find that when the bank credit with manufacturer collateral is considered as a mix of trade credit and bank credit, the retailer’s financing equilibrium depending on the maximum wholesale price what the manufacturer can set, can be neither trade credit nor bank credit alone, but a combination of them. Moreover, the retailer’s order quantity and the chain’s operational collaboration level will benefit from the manufacturer collateral.

Crises cause delays in supply chain management with resulting changes to organizations’ internal structures. The COVID-19 pandemic has deeply affected the global supply chain and, with it, the organizational structure of companies. This research discusses supply chain collaboration (SCC) by considering two important organizational competencies: organizational learning culture (OLC) and decentralization (DC). It investigates the potential impact of these intangible resources upon SCC after the COVID-19 pandemic. The theoretical model was tested by variance-based Structural Equation Modeling (SEM) using results of a questionnaire which was completed by 245 respondents. In fact, this study explores which organizational capabilities determine the SCC level specifically within the current COVID-19 pandemic period. We believe that this contribution is significant, as the level of collaboration between companies can change during risk periods. The results show that OLC have significantly positive effects on SCC. Moreover, DC plays a critical role for the relationship between OLC and SCC. In other words, this study reveals the importance of DC to observe the positive effects of OLC on SCC. Unlike previous studies which explored SCC, this research demonstrates the importance of an organization’s inherent intangible resources in order to improve relationships with suppliers. The article ends with a discussion of the findings and their implications.

Purpose This study aims to explore the interplay between supply chain collaboration and disruption and their joint impact on supply chain resilience. It also aims to identify the configurational conditions under which supply chain resilience is achieved, providing a holistic framework for enhancing supply chain management practices amidst disruptions. Design/methodology/approach This study uses a fuzzy-set qualitative comparative analysis (fsQCA) to investigate the complex causal mechanisms linking supply chain collaboration and disruption with supply chain resilience. The research integrates three dimensions of collaboration with three dimensions of disruption, offering a comprehensive understanding of supply chain resilience factors. Findings This study reveals that supply chain resilience is not solely dependent on individual elements but is shaped by unique configurations of collaboration and disruption factors. Information sharing emerges as a core factor in high resilience, while the absence of supply and facility disruptions significantly influences resilience outcomes. The research highlights the importance of multiple paths leading to supply chain resilience and the asymmetrical impact of collaboration and disruption. Research limitations/implications The study acknowledges limitations due to data sourced exclusively from China and the use of static data, suggesting the need for cross-temporal and international samples to enhance broader applicability. Future research should consider dynamic temporal changes and diverse theoretical perspectives to comprehensively examine the factors influencing supply chain resilience. Practical implications The research underscores the critical role of information sharing in bolstering supply chain resilience and advises firms to prioritize it in their strategies. It also highlights the importance of mitigating supply and facility disruptions through supplier diversification and robust contingency planning, offering actionable insights for enhancing operational efficiency and risk management in supply chain management. Social implications This research has significant social implications, particularly in the context of global supply chain disruptions. By identifying key factors that enhance supply chain resilience, it can help businesses better prepare for and respond to crises, thereby reducing economic instability and social disruption. Improved resilience can lead to more stable employment, maintain the flow of essential goods and services and contribute to overall societal well-being during times of supply chain stress. Originality/value This study offers original insights by applying fsQCA to explore the multifaceted relationship between supply chain collaboration, disruption and resilience. Its value lies in revealing the complex causal configurations that lead to high or low levels of supply chain resilience, challenging traditional linear perspectives and providing a nuanced understanding that can guide both academic research and practical supply chain management strategies.

Purpose: There is only limited knowledge about the performance benefits of the alignment of sustainability-related upstream and downstream collaboration. The purpose of this paper is to analyze the deviation from an optimal profile of supply chain collaboration and its detrimental effect on sustainability performance as well as market performance. Design/methodology/approach: The authors analyze the deviation from an optimal profile of supply chain collaboration and its detrimental effect on sustainability as well as market performance. Using data collected from 259 European manufacturing firms and advanced structural equation modeling approach, the authors empirically test a number of direct, mediation, and moderation effects. Findings: The study shows that an alignment between supply chain initiatives does pay off. Furthermore, the results show that the effects of alignment on performance measures are mediated by the firm's internal sustainable production. Research limitations/implications: The paper provides research limitations and implications as part of the research. Practical implications: The paper also offers important conclusions for practitioners. Particularly the paper shows that sustainable supply chain collaboration needs to be operated at an ideal profile in collaboration with advanced internal practices to generate improved performance. Originality/value: This work is differentiated from earlier work through the joint consideration of alignment of supply chain collaboration for customers and suppliers, providing in combination with mediation analysis new nuances to the field of sustainable supply chain management. © Emerald Group Publishing Limited.

Manufacturing companies are trying hard to anticipate a disrupted supply chain. Internal changes are encouraged to adapt to external conditions. Partnerships with external parties through supply chain collaboration are needed to improve supply chain performance and increase competitiveness. This research examines the effect of supply chain collaboration on supply chain performance by adopting new product development, product knowledge, and production technology. The study surveyed 148 manufacturing companies at managerial level using questionnaires. Data processing using SmartPLS software version 4.0. The results show that supply chain collaboration positively influences production technology, product knowledge, new product development, and supply chain performance. Production technology positively impacts product knowledge, new product development, and supply chain performance. The results also show that supply chain performance is influenced by product knowledge and new product development. In addition, production technology, new product development, and product knowledge mediate the indirect influence of supply chain collaboration on supply chain performance. This study contributes to enriching supply chain management theory. The practical contribution is to enlighten the company's managerial to run supply chain collaboration in generating performance and competitiveness.

Supply Chain Collaboration (SCC) is still a new definition in Vietnam, where a small number of enterprises formed or participated in supply chains. This leads to the need of a distinct study, depict the real situation of supply chain and especially SCC in Vietnam. The purpose of this study is to examine the feasibility of a collaboration index based on previous findings, and give the pre-estimation of the level of collaboration in present supply chain. We propose and premilitary test the collaboration index, which fits Vietnam economy context, using data gathered from 46 local firms. The result will open up venues for further empirically researches as well as provide some clues to help firms in improving their supply chain performance in general, and SCC, in particular.

This study investigated the effect of supply chain resilience on organizational performance, particularly emphasizing supply chain agility, supply chain collaboration, and supply chain robustness. A survey research design was adopted to collect primary data from employees. The target population of this study consisted of 435 employees. Using the Krejcie and Morgan sample size determination table, the sample size obtained for the study was 205 respondents. Data were collected by means of a structured questionnaire, and a total of 200 usable responses were retrieved and used for analysis. Data were analyzed through descriptive statistics and multiple regression analysis, and the hypotheses were tested at 5% level of significance. The results revealed that supply chain agility has a positive and statistically significant effect on organizational performance, indicating that the firm's ability to respond quickly and flexibly to changes enhances effectiveness. The findings further showed that supply chain collaboration has a significant influence on the performance of an organization, emphasizing information sharing, coordination, and strategic partnership in a supply chain. Moreover, supply chain robustness was also found to positively impact organizational performance, meaning the ability of the supply chain to absorb and resist disruption would lead to long-term performance. This study concludes that supply chain resilience is one major driver of manufacturing sector firms' performance. In this regard, the study recommends that manufacturing firms should work on strengthening agile practices, developing collaborative supply chain relationships, and investing in robust supply chain structures to attain better performance and improved long-term sustainability.

This paper first combs the concept of digital transformation and supply chain collaboration by examining literatures related to supply chain collaboration in the context of digital transformation at home. Furthermore, policies related to supply chain collaboration are studied, and mechanism of action of digital transformation and supply chain collaboration are collated.This research finds that digital transformation optimizes supply chain collaboration and drives further development of the supply chain. At the same time, the development of supply chain collaboration acts on and empowers digital transformation. In addition, digitization also brings some risks. Finally, based on the current development status and research results, this paper puts forward some suggestions for the collaborative development of supply chain from four aspects, including innovation theory research, comprehensive platform construction, development environment optimization and professional personnel training.

Supply Chain Collaboration is the network of various entities that work cohesively to make up the entire process. The supply chain organizations’ success is dependent on integration, teamwork, and the communication of information. Every day, supply chain and business players work in a dynamic setting. They must balance competing goals such as process robustness, risk reduction, vulnerability reduction, real financial risks, and resilience against just-in-time and cost-efficiency. Decision-making based on shared information in Supply Chain Collaboration constitutes the recital and competitiveness of the collective process. Supply Chain Collaboration has prompted companies to implement the perfect data analytics functions (e.g., data science, predictive analytics, and big data) to improve supply chain operations and, eventually, efficiency. Simulation and modeling are powerful methods for analyzing, investigating, examining, observing and evaluating real-world industrial and logistic processes in this scenario. Fusion-based Machine learning provides a platform that may address the issues/limitations of Supply Chain Collaboration. Compared to the Classical probable data fusion techniques, the fused Machine learning method may offer a strong computing ability and prediction. In this scenario, the machine learning-based Supply Chain Collaboration model has been proposed to evaluate the propensity of the decision-making process to increase the efficiency of the Supply Chain Collaboration.

The relationships between environmental collaboration, green innovation, competitive advantage, and environmental performance have been discussed in this paper. SPSS and AMOS software were used for data analysis after questionnaire survey, the empirical results showed that: (1) environmental collaboration with customers can actively promote environmental collaboration with suppliers. (2) Environmental collaboration in supply chain can promote green innovation of the core enterprise. (3) Green innovation acts as a meditor between supply chain environmental collaboration and environmental performance, and also between supply chain environmental collaboration and enterprise competitive advantage. This empirical study revealed the mechanism between environmental collaboration, enterprise performance and competitive advantage, and further expanded the application of some theories, such as supply chain collaboration theory, the resource-based view theory and the sustainable development theory. It also suggested that enterprises should attach importance to the collaboration with supply chain partners in green innovation and sustainable development, and the government should focus more on the supervision and incentive of the whole supply chain.

This study mainly investigates of relationships among the supply chain collaboration in value innovation, supply chain capabilities, and firm performance.The present study collects 374 of Taiwan TFT LCD Industry(up stream,middle stream,down stream) With literature review,this study proposes a theoretical research framework,and tests by some hypotheses. By empirical survey,this study gets 374 valid responses and analysis with structural equation modeling (SEM). The research results indicate that supply chain capabilities serves as a partial mediator between supply chain collaboration in value innovation and firm performance. The other findings specify the supply chain multi-echelon moderating effect in supply chain collaboration in value innovation, supply chain capabilities,and firm performance。

This study aims to examine the mediating role perceived usefulness between supply chain collaboration and the intention to use blockchain in the textile industry of Pakistan. A cross-sectional method is conducted, and data is gathered with the help of the adopted questionnaire from previous studies. The HR department of the concerned firm is requested to circulate the printed questionnaire among middle-level employees of the firm. A total of 240 cases are considered in this study. Five Likert scales, from strongly disagree to agree strongly, are considered to test the suggested hypotheses based on previous studies. The findings of this study confirmed the direct effect of supply chain collaboration on the intention to use the blockchain and the partial mediation effect of perceived usefulness is revealed. There are few studies on supply chain collaboration, blockchain use, and perceived usefulness in developing countries like Pakistan's textile industry, especially among middle-level employees. Existing scholarship ignores emerging countries' textile sectors and extends results to other industries. The insights also help managers create blockchain-integrated supply chain strategies. Blockchain technology may be maximized via technology providers and industry-wide cooperation. These practical consequences may improve developing nations' textile supply chains' efficiency, transparency, and competitiveness. The insights also help managers create blockchain-integrated supply chain strategies. Blockchain technology may be maximized via technology providers and industry-wide cooperation.

The complex system characteristics of Smart manufacturing (SM) require firms collaborating with supply chain members to implement SM transformation. However, the motives, methods, and influencing factors of such collaboration remain unclear. Addressing this gap, we conduct a multi-case study of four manufacturing firms and obtain three findings based on complex adaptive system theory. First, the motives of supply chain collaboration include the adaptation to the environment of high customisation, technical complexity, policy, and horizontal competition. Second, firms collaborate with supply chain members in terms of equipment customisation and information interconnection, to establish the data and equipment foundation of SM. This process is affected by the scale and volume of invested resources. Based on these, firms further build collaborative platforms to realise the integrated management of all supply chain links and improve the SM capability through the iteration of solutions, which are affected by the degree of security in data sharing. Third, supply chain collaboration improves the quality and satisfaction, reduces the cost, and shortens the cycle of SM implementation. This study not only addresses whether and how supply chain collaboration influences SM implementation, but also provides guidance to help companies implement SM through a gradual multi-stage collaboration in supply chain.

The purpose of this article is to explain and illustrate the methodological approach used to test moderated mediation effects (conditional indirect effects) in marketing. A moderated mediation effect indicates the presence, in a single model, of one or more mediating variables and one or more moderating variables. Having first described the main methodological approaches used to test moderated mediation effects, with an emphasis on their respective advantages and disadvantages, we go on to recommend the method used by Hayes, which we illustrate through several marketing applications. This method makes it possible rigorously and simultaneously to test both mediating and moderating effects. Recommendations are also made to guide marketing researchers in the analysis of moderated mediation.

Purpose– The purpose of this paper is to provide a systematic review of the literature on Collaborative Planning, Forecasting and Replenishment (CPFR). The review emphasises the descriptors of CPFR implementation and models, as well as the impact of CPFR and other supply chain collaboration (SCC) initiatives on supply chain (SC) performance.Design/methodology/approach– The systematic review includes 50 full-text papers retrieved from four databases: Emerald, EBSCO, ScienceDirect and Wiley. Rigorous and verifiable keywords, review steps and selection criteria were applied to the database and inter-coders agreement was systematically checked.Findings– There is no consensus regarding the breadth and scope of CPFR configurations. CPFR is context-dependent and varies according to the configuration of the SC. Trust, information-communication technology and the quality of information sharing are main enablers and inhibitors of implementation.Practical implications– Practitioners will benefit from insights related to the choice of SCC configurations (e.g. number of partners, nature of products and spatial complexity), the importance of trust and empowerment for SCC and the need to outweigh carefully the costs and benefits of specific SCC before implementation.Originality/value– CPFR, which is considered by many to be the most advanced and the most comprehensive SCC process and has a direct impact upon SC performance. Nonetheless, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this paper provides a better understanding of the role of CPFR as a determinant of SC performance. As an effort to contribute to complete the cycle of theory building based on the literature review, seven propositions for CPFR research are put forward.