Supply Chain Collaboration Research Articles

Accounting information sharing within buyer-supplier collaborations: Insights from a developing country

Background: The significance of the context, or the environment, is pivotal in influencing the practices of management accounting.Objectives: This article aims to explore the significance, methods and challenges of accounting information exchange in buyer–supplier collaborations.Method: In buyer–supplier collaborations, data are gathered from 13 semi-structured interviews and 250 questionnaires. The analysis is conducted using SPSS version 25, employing non-parametric Kruskal–Wallis test and content analysis techniques.Results: Respondents recognise its benefits but prefer informal communication. Challenges such as diverse systems and mistrust hinder formal sharing. Despite obstacles, informal channels remain effective, although concerns about data leakage persist, leading to a conservative approach.Conclusion: In the Egyptian textile supply chain, members prioritise individual goals over collective ones. Informal methods, such as backdoor access, facilitate accounting information sharing among buyer–supplier partnerships. Formal sharing protocols are lacking, with limited one-way technical data exchange. Trust issues and data security concerns persist. Despite the absence of formal disclosure, cost estimations remain feasible. The company adopts a conservative approach, limiting access to records in most cases.Contribution: In essence, the article not only sheds light on the complexities and nuances surrounding accounting information sharing in the textile supply chain but also emphasises the resilience of informal communication channels in overcoming challenges. As the industry navigates these dynamics, recognising the importance of relational ties and informal exchanges could be pivotal in fostering a more efficient and collaborative supply chain ecosystem.

Optimizing negotiation process of buyer-supplier collaboration in the gambier supply chain

Abstract The current gambier supply chain presents the disparity issue in profit distribution between the business actors. This issue could be analyzed regarding the collaboration that exists between the involved parties, particularly in the negotiation process. The present study aims to develop an optimization model of the negotiation process between supplier (farmers) and collector (buyer) in gambier supply chain. In a decentralized supply chain setting, the linear programming is applied to develop the optimization planning model for both players. Optimized models were built to align the order level of buyers and the supply quantity of suppliers. The proposed negotiation process is applied iteratively to align the order and supply quantity. The developed models have been verified through computational testing using both real and estimated data. Practical implication of the research results can assist the related actors in the gambier supply chain.

Digital capability and green innovation: The perspective of green supply chain collaboration and top management's environmental awareness

The emergence of the digital economy has accelerated digital transformation, and digitalization has shown new potential and solutions to increasingly severe environmental challenges. Based on the resource-based view, dynamic capability view, synergy effect and upper echelons theory, the connotation and measurement dimensions of digital capability and green supply chain collaboration are defined and improved. Then, a theoretical model of “digital capability-green supply chain collaboration-green innovation performance” is constructed. The influence mechanism and transmission process of digital capability on green innovation performance from the perspective of green supply chain collaboration is discussed. Meanwhile, the boundary condition of the influence of digital capability on green innovation performance in the view of top management's environmental awareness is explored. Finally, an empirical test is conducted based on the Chinese manufacturing corporates. The results indicate that green innovation performance is significantly and favorably impacted by digital capability, green supply chain collaboration plays a partial mediating role between digital capability and green innovation performance, and top management's environmental awareness can positively moderate the effect of digital capability on green innovation performance. This study offers valuable theoretical and practical enlightenments for manufacturing companies to foster the growth of green innovation through digital capability more effectively.

Supply Chain Management Enhance NG Efficiency and Collaboration Industry Company

Purpose Collaboration may be the most important core competency and has been described as the engine of efficient supply chain management. There is a common perception, nevertheless, that not many businesses have fully realised its potential. In order to determine best practices and evaluate the state of supply chain collaboration, a research was conducted. Design, procedure, and strategy CEOs of supply chains offered advice on working together. A conceptual model characterising the behaviour, culture, and interpersonal relationships linked to productive collaboration was created using survey data, in-person interviews, and an analysis of the literature on collaboration Results. The increase of efficiency, effectiveness, and market positioning for the enterprises of the responders are positive results associated to collaboration. Research constraints and implications Although the limited sample size is a drawback, it is counterbalanced by the calibre of the respondent pool and their level of training and experience. Getting feedback from only one partner in the cooperative partnerships is another drawback. It would be possible to ascertain how collaboration-related interactions and variables evolve over time by creating a longitudinal research. Consequences for practice A "blurring of lines" between organisations was highlighted by a number of respondents in contrast to a "us vs. them" mentality. This was conveyed in several ways, including by recognising the agreements as co-owned, treating them as a single unit, and reorienting the attention to the greatest possible compromise. Even though many of the respondents said that benefits are not given out equally, they acknowledged that they benefit enough from the cooperative agreements to make them worthwhile. Uniqueness and worth Many of today's leading firms are mentioned in real-world practical experiences.

Managing global supply chain teams: human resource strategies for effective collaboration and performance

This study examines the role of human resource (HR) strategies in enhancing collaboration and performance within global supply chains, an area of increasing importance in the context of globalized business operations. The primary objective is to identify and analyze current trends in HR practices that contribute to effective global supply chain management, focusing on adaptability, technological integration, sustainability, and ethical practices. Employing a systematic literature review and content analysis as its methodology, the study draws on academic journals, conference proceedings, and industry reports from databases such as Scopus, Web of Science, and Google Scholar. Key findings reveal that adaptability and flexible work arrangements, supported by digital HR technologies, are essential for operational resilience and employee engagement. The integration of sustainability and ethical considerations into HR practices is identified as crucial for maintaining competitive advantage and ensuring regulatory compliance. Furthermore, the development of cultural intelligence and inclusive leadership within global teams is highlighted as vital for fostering effective collaboration across diverse cultural landscapes. The study concludes that strategic HR management plays a pivotal role in navigating the challenges and leveraging the opportunities within global supply chains. Recommendations for practitioners emphasize the importance of continuous learning, embracing digital transformation, and integrating sustainability into HR practices. The study also outlines areas for further research, including the impact of emerging technologies on HR practices and the long-term effects of sustainable HR strategies on organizational performance. This research contributes valuable insights into optimizing HR strategies to enhance global supply chain collaboration and performance.

Agribusiness Supply Chain Collaboration: Role of Innovation Capacity and Business Process Agility as Antecedents of Supply Chain Performance

This article examines the role of innovation capacity and business process agility (BPA) in the relationship between supply chain collaboration (SCC) and supply chain performance (SCP) of smallholder agro-based enterprises (SAEs). Based on the relational view and dynamic capability theories and the survey research design, the author used questionnaires to gather data from 226 SAEs who were sampled from agribusiness associations in four regions of Ghana via the quota sampling technique. Smart PLS-SEM 4.0 was used as the statistical method to analyze the data. The results showed that SCC has a significant and positive relationship with SCP, innovation capacity, and BPA. Innovation capacity significantly mediates the relationship between SCC and SCP. Furthermore, BPA fully mediates the relationship between SCC and innovation capacity, with innovation capacity also influencing SCP. This study integrates relational and capability-based views to propose a comprehensive theoretical model showing the inter-relational effect of SCC, BPA, and innovation capacity on SCP. The empirical findings widen the context of SCC literature to include SAEs from emerging economies in sub-Saharan Africa. The empirical findings enrich the understanding of how SAEs can manage their SCCs to develop and use specific capabilities that positively impact SCP. The uniqueness of this article rests in the proposed model and new empirical knowledge, which extends the scope of the relational and capability-based views and SCC literature to include innovation capacity, BPA, and SCP of SAEs in emerging markets.

Analyzing the drivers of the low-carbon construction supply chain based on an integrated DEMATEL–ANP approach

PurposeCarbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management.Design/methodology/approachA decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established.FindingsVarious factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority.Originality/valueDespite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources.

Optimising Inventory Management Strategies for Cost Reduction in Supply Chains: A Systematic Review

This systematic review investigates and synthesises the complexities of optimising inventory management strategies for cost reduction in supply chains. The research utilised a systematic review methodology to comprehensively analyse inventory management strategies for cost reduction in supply chains, employing key search terms across databases such as PubMed, Scopus, and IEEE Xplore. A total of 50 journals were initially identified, followed by a rigorous screening process based on pre-defined criteria, including 23 relevant published articles written in English. Examining global supply chain dynamics and sector-specific challenges in local inventory management, the review proposes three key strategies: Just-in-Time (JIT) and lean inventory practices, advanced analytics and predictive modelling, and collaborative supply chain partnerships. Drawing on empirical evidence and sector-specific examples, the review demonstrates the effectiveness of these strategies in mitigating costs and enhancing overall supply chain efficiency. The policy implications underscore aligning business practices with proposed strategies, offering policymakers insights for formulating guidelines and incentives. Contributions to knowledge include a comprehensive framework for businesses to navigate contemporary supply chain challenges. At the same time, suggestions for further studies advocate for deeper explorations into emerging technologies and regional variations to refine and expand inventory management strategies.

Trust and control dynamics in buyer–supplier relationships: The case of organic honey certification in Cuba

AbstractThe high complexity of international supply chain (SC) relationships requires mechanisms to build trust among stakeholders. Therefore, understanding the underlying mechanisms of developing and maintaining high trust levels in exchange relationships is essential to managing associated SC risks. Third‐party certification (TPC) is a widely used, control‐based governance mechanism in organic food production that aims to help build trust. Drawing on the concepts of trust and control, this article presents an analytical framework for assessing TPC's effects on trust–control dynamics within food SCs. By using qualitative data on a buyer–supplier relationship between Cuba and Europe, this case illustrates the mutually reinforcing relationship between trust and control. We also demonstrate how trust is built across multiple levels. By considering contextual factors, the case illustrates controls' impact on building institutional trust while also pointing out TPC's limited efficacy in enhancing collaboration in SCs.

Shirking in supply chain collaborations: do circular economy entrepreneurship and technical capability moderate impacts for circular economy performance?

PurposeSmall and medium-sized enterprises (SMEs) in emerging economies are encouraged to form supply chain collaborations (SCC) for better circular economy (CE) performance. Yet, the literature remains silent on SMEs’ susceptibility to opportunistic behaviors of supply chain (SC) partners. This study draws on the transaction cost theory (TCT) and the resource-based view (RBV) to investigate the impact of shirking on SCC and CE performance while exploring how circular economy entrepreneurship (CEE) can curb the impacts of shirking on SCC as well as drive technical capability (TC) to moderate the relationship between SCC and CE performance.Design/methodology/approachThe TCT and RBV are used as a theoretical lens to investigate the direct, mediation and moderation effects tested via partial least square structural equation modeling (PLS-SEM) using survey data from 152 managers of SMEs in Nepal.FindingsContrary to past findings, the study results show that shirking, directly and indirectly, has a positive and significant impact on SCC and CE performance, respectively. The results also show that as CEE, which positively and significantly drives TC, moves from low to high levels, the effect of shirking on SCC dampens, and as TC moves from low to high levels, the effect of SCC on CE performance intensifies.Originality/valueThis study’s contribution lies in extending the shirking debate to the CE domain and also in identifying CEE and TC as potent means for SMEs in emerging economies to mitigate shirking impacts and induce SC partner commitments in CE-driven SCC. This study provides relevant theoretical and practical insights.

Optimization of 3D printing supply chain in the era of live streaming e-commerce.

This study examines the effects of the rising live streaming e-commerce on the 3DP supply chain, employing system dynamics to develop separate models for pure polymer and polymer-metal mixed printing. The analysis focuses on optimizing the 3DP supply chain configuration. Results indicate that, based solely on printing time, cost, and quality metrics, Corporate-live-3DP services are optimal for live commerce scenarios. However, despite this, Private-live-3DP maintains a substantial consumer base in practice, as evidenced by literature data and case studies. Both models pose significant challenges to conventional supply chains, necessitating adaptation. For Corporate-live-3DP, optimization strategies may include technology advancements, digital transformation, agile manufacturing, global network optimization, innovative management, collaborative R&D, fine-tuned inventory control, quality system upgrades, talent development, and organizational restructuring. Conversely, Private-live-3DP can be optimized through consolidation of private 3D printing resources, demand prediction and order optimization, supply chain collaboration platforms, quality management extensions, inventory strategy adjustments, increased transparency, regulatory compliance, and risk mitigation measures.

Supply chain collaboration, agility and firm performance: a case of manufacturing SMEs in India

PurposeThe dynamic business environment and intense competition have mandated agility in operations for manufacturing firms. Effective inter-organizational collaboration can make operations more agile. This paper develops an interpretive model to explore the effect of supply chain collaboration (SCC) on supply chain agility (SCA) and, subsequently, on business performance.Design/methodology/approachA hierarchical model that illustrates the relationship between SCC, SCA and firm performance components is developed using total interpretative structural modeling (TISM). Also, statistical validation of the model has been performed.FindingsThe results indicate that the vision and alertness of the firm on the strategic front promote collaboration between supply chain partners. This creates operational agility, helping the firm to absorb fluctuations in demand, thereby enhancing business performance.Research limitations/implicationsThe opinion of most respondents was considered to develop the TISM framework over the fuzzy one, which necessitates a significantly more extensive data set. However, multiple discussions with participants can eliminate the prejudice of the majority approach. Also, the paper's development and validation were restricted to Indian manufacturing small and medium-sized enterprises (SMEs). The model can potentially be evaluated in large organizations to provide further insights.Originality/valueThe study blends the factors of SCC and SCA in a novel way to explain their combined impact on business performance. The TISM model addresses the “why” of theory development in addition to the “what” and “how” of it. Using triangulation in combination with the interpretative tool, this study additionally offers methodological value.

Back to a resilient future: Digital technologies for a sustainable supply chain

Economic, political, and societal pressure forces companies to act more sustainably. New legislation and regulation such as the Supply Chain Act, mandates companies to take responsibility for their actions as well as those of their supply chain collaborators. Meeting these requirements demands transparency. Digital technologies along the supply chain have the potential to collect diverse types of data and raise awareness for sustainability purposes. For example, data obtained from multiple supply chain participants can be used to estimate CO2 emissions or optimize resource utilization. Following guidelines for systematically reviewing a body of literature, this paper therefore investigates the distribution of digital technologies in supply chains for sustainability. Based on a collected corpus of 70 articles, we identify seven key digital technologies and indicate how they can be employed to contribute to economic, environmental, and social sustainability. The results show that (1) blockchain is the most used technology for sustainability within the supply chain and (2) the majority of articles on digital technologies in our corpus address the social dimension of sustainability. Our findings advance the understanding of how digitalization can transform supply chains into more sustainable entities and help practitioners decide which technology fits a certain sustainability dimension.

The Role of Deep Learning in Supply Chain Collaboration and Cooperation

In today's globalized and technologically advanced business landscape, supply chain collaboration is crucial for enterprises seeking to gain a competitive edge, enhance operational efficiency, and adapt to market dynamics. Traditional methods often fall short in managing the complexities and rapid changes within supply chains. This study introduces an innovative deep learning model, combining BERT, GAT, and RL, to address these challenges effectively. The model demonstrates its prowess in processing supply chain data, accurately predicting market trends, and optimizing decision-making processes. By leveraging deep learning, this research not only expands theoretical applications in supply chain management but also provides practical tools to boost operational efficiency, highlighting the immense potential and practical value of deep learning technology in modern supply chain management.

Towards a critical realism synthesis of configurational and middle-range theorising

PurposeWe present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.Design/methodology/approachWe synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.FindingsCoopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.Research limitations/implicationsThe configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.Originality/valueThis is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.

Developing Measurement of Collaboration Between the Supplier and Client Firms

This study recommends a suitable model for evaluating supply chain collaboration in the natural forest products industry. We follow a two-step analysis: The first-order measurement model is leveraged to assess collaboration level, and the second-order confirmatory factor analysis develops the collaboration level by using four indicators representing customer and supplier firms as well as two specific indicators for each of them. Four items are common practices for both sides: joint sales forecasting, exchange of basic information, joint planning, and joint delivery improvement. Two practices are highly oriented toward customers: resource sharing of logistics assets and exchange of performance evaluation. Business-to-business practices engaged mostly with suppliers include the implementation of replenishment systems and joint new product development. Collaboration measurement between suppliers and client firms contributes to effectively manage the relationship between the supplier and client firms and can improve the competitiveness of participating firms in the network.

Digital transformation, supply chain collaboration, and enterprise growth: Theoretical logic and Chinese practice

The rapid development of the new generation of digital technology has injected new vitality into the digital transformation (DT) and continued growth of enterprises. This paper selects data from China's A-share listed companies from 2010 to 2019 and uses transaction cost theory to empirically test the effect of enterprise digital transformation (EDT) on enterprise growth and its mechanism. Research has found that DT can significantly promote enterprise growth. The reduction of supply chain collaboration costs plays an important role as an intermediary mechanism in this process. At the same time, industry competition intensity, regional marketization level, and digital infrastructure level have played positive regulatory roles. In addition, when the enterprise's level of financing constraints is low and it is a manufacturing enterprise or state-owned enterprise, the promotion effect of EDT on enterprise growth is more significant. While expanding the research perspective and measurement methods of EDT, this paper integrates the strategic actions of EDT and the inter-enterprise collaboration costs of the supply chain into a unified theoretical framework, revealing a new theoretical mechanism for DT to promote enterprise growth. It also provides practical inspiration for relevant policy formulation and enterprise transformation and upgrading.

Enhancing Logistics Performance through Increased Trust and Collaboration in Supply Chain Risk Management: A Focus on the Distribution Network of Manufacturing Companies

This study aims to explore the significance of trust among companies within the supply chain and investigate its effect on collaborative supply chain risk management. In the current uncertain business environment, it is crucial for companies to establish trust relationships with their trading partners and collaboratively manage risks. This research seeks to understand how such trust relationships influence collaborative risk management and, subsequently, the effect of risk management collaboration on logistics performance. This study surveyed manufacturing companies in the Korean supply chain, and data were analyzed using SPSS 23.0 and AMOS 23.0. The results of this study imply that cognitive trust, related to the partner’s expertise and capabilities, is more crucial than emotion-based affective trust in fostering collaborative supply chain risk management among companies within the supply chain, especially in the current unpredictable and complex business environments. Given the supply chain disruptions caused by uncertainties in the business environment, it is imperative to effectively manage risks and restructure the disrupted supply chain. Therefore, companies need to strive to demonstrate their expertise and capabilities to build cognitive trust and enhance logistics performance through supply chain risk management collaboration.

Collaborative commerce model for MSMEs and creative industries in Parepare to face industry 4.0 towards industry 5.0

Collaborative commerce model for MSMEs and creative industries in Parepare to face industry 4.0 towards industry 5.0

Building tourism SMEs' business resilience through adaptive capability, supply chain collaboration and strategic human resource

AbstractSmall‐ and medium‐sized enterprises (SMEs) play a significant role in the global economy, particularly, in tourism and hospitality. However, they face challenges due to their vulnerability to external disruptions. A research model was proposed to enhance SME resilience in tourism through supply chain collaboration, strategic human resource and adaptive capability. Drawing on Dynamic Capability Theory, a total of seven hypotheses were presented. The data collection were conducted in Malaysia. There were 210 SME owners/managers participated in the survey. Data were analysed using Smart PLS software version 4. Results suggest that addressing business collaboration and human resource development are critical factors in developing capabilities that foster business resilience in tourism SMEs. The study addresses the dearth of theoretical and practical research on tourism SMEs. While calling SMEs for more attention to developing resilient businesses, this study serves as insights for disaster planning to withstand potential future shocks.