Supply Chain Structures and Relationships Literature Review
Supply Chain Structures 15 sources:
Supply Chain Structures and Relationships Literature Review
Schmidt, C. G., & Wagner, S. M. (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25(4), 100552.
ScienceDirect. https://doi.org/10.1016/j.pursup.2019.100552
Schmidt and Wagner (2019) explore the impact of blockchain technology on supply chain relations. Quidded research question is how blockchain affects these relations. They apply transaction cost theory to analyze potential blockchain’s effect on transaction charges and governance decisions within supply chains. The study highlights that blockchain reduces opportunistic behavior and environmental and behavioral uncertainty, reducing transaction costs and enabling more market-oriented supply chain relationships. The research is valuable for comprehending the transformative potential of blockchain in supply chain management. It uniquely provides perspective on application of transaction cost theory to blockchain in supply chain management and offers theoretical framework for future research. The source will be useful to support arguments about potential benefits of blockchain in reshaping supply chain structures and relationships.
Mardani, A., Kannan, D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B. (2019). Evaluation of green and sustainable supply chain management using structural equation modeling: A systematic review of the state of the art literature and recommendations for future research. Journal of Cleaner Production, 119383.
https://doi.org/10.1016/j.jclepro.2019.119383
Mardani et al. (2019) conducted a systematic review of the application of Structural
Equation Modeling (SEM) in evaluating green and sustainable supply chain management
(SCM). The review revealed a growing interest in using SEM to assess green SCM, with
the manufacturing sector being the most studied. Resource-based theory (RBV) was the dominant theoretical framework. The source provides intuitions into the state of research in green and sustainable SCM and offers recommendations for future studies. It complements existing literature by emphasizing SEM use in evaluating sustainability within supply chains.
Alghababsheh, M., & Gallear, D. (2020). Socially Sustainable Supply Chain Management and
Suppliers’ Social Performance: The Role of Social Capital. Journal of Business Ethics,
173(4). https://doi.org/10.1007/s10551-020-04525-1
Alghababsheh and Gallear (2020) investigate the role of socially sustainable supply chain management (SSCM) practices in addressing suppliers’ social deficiencies, such as child labor. It focuses on how these practices are influenced by social capital within buyersupplier relationships. The study investigates assessment and cooperation procedures and their impacts on suppliers’ social performance. Findings indicate that collaboration practices are more effective than assessment practices in driving social performance improvements. However, the influence of assessment practices is significant when there is relational and structural capital in the relationship, while collaboration practices benefit from presence of relational and cognitive capital. Compared to other sources, it offers specific insights into the interplay between SSCM practices and social capital. I will utilize the source to emphasize the significance of social capital in shaping supplier-buyer relationships within sustainable supply chains and need for a nuanced approach to SSCM practices.
Hussain, M., & Malik, M. (2020). Organizational enablers for circular economy in the context of sustainable supply chain management. Journal of Cleaner Production, 256, 120375. https://doi.org/10.1016/j.jclepro.2020.120375
Hussain and Malik (2020) explore the relationship between sustainability and circular economy (CE) in supply chains. It aims to uncover organizational enablers facilitating transition to Circular Supply Chains (CSC) and impact on environmental performance. The study employs two-phase research design to develop CSC constructs and hypotheses, followed by structural equation modeling (SEM) to analyze relationships. The findings highlight visible CE practices and collaboration within the supply chain network as key factors in improving environmental performance. This research contributes to the understanding of how organizations can embrace CE principles within their supply chains. The source provides my Literature Review with framework for understanding the interplay between SSCM, CE, and CSCs, essential for discussing supply chain structures and relationships in sustainability and circularity.
Delic, M., & Eyers, D. R. (2020). The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry.
International Journal of Production Economics, 228, 107689. https://doi.org/10.1016/j.ijpe.2020.107689
Delic and Eyers (2020) investigate the impact of Additive Manufacturing (AM) adoption on supply chain flexibility and performance within the European Union automotive industry. Their findings suggest that AM adoption positively influences supply chain flexibility enhances supply chain performance. It underscores the significance of focusing on supply chain flexibility to improve overall performance. Compared to other sources, this study uniquely quantifies relationship between AM adoption and supply chain outcomes in the automotive sector and valuable source for understanding the implications of AM in supply chain management. The source offers my literature review with empirical evidence to support the role of AM in enhancing supply chain flexibility and performance critical for its adoption in modern supply chain structures.
Yang, Z., & Lin, Y. (2020). The effects of supply chain collaboration on green innovation performance:An interpretive structural modeling analysis. Sustainable Production and
Consumption. https://doi.org/10.1016/j.spc.2020.03.010
Yang and Lin (2020) investigate the impact of supply chain collaboration (SCC) on green innovation performance. Their research question revolves around identifying the key drivers of SCC in green innovation and understanding their interrelationships. Interpretive structural modeling (ISM) is employed to analyze 17 drivers of green innovation in SCC and validate the model using Chinese automotive industry case study. The findings underscore the substantial influence of supply chain relationships on green innovation performance and emphasize SCC as a core component of green innovation strategies. Key drivers are environmental laws, top management’s dedication, and social acceptance. The source offers my paper with unique perspective on the role of SCC in driving green innovation. It complements other sources in my literature review by addressing the specific link between SCC and green innovation.
Shin, N., Park, S., & Park, S. (2019). Partnership-Based Supply Chain Collaboration: Impact on
Commitment, Innovation, and Firm Performance. Sustainability, 11(2), 449.
https://doi.org/10.3390/su11020449
Shin et al. (2019) investigate the impact of partnership orientation on partnership commitment and firm performance within supply chain relationships. The study explores the role of investment and contractual-based partnership orientations and their influence on commitment and performance across different partnership structure types like suppliers, buyers, and parallel-aligned firms. The research finds that investment and contractual-based partnership orientations positively contribute to partnership commitment. It reveals that commitment is positively linked to innovation and operational performance but has a negative association with financial performance from supplier’s perspective. The findings emphasize balanced commitment and investment exchange for sustainable supply chain collaboration. In my literature review, I will use this source to support the argument that partnership orientation is crucial in supply chain collaboration and firm performance.
Mathivathanan, D., Mathiyazhagan, K., Rana, N. P., Khorana, S., & Dwivedi, Y. K. (2021). Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modeling (TISM) approach. International Journal of Production
Research, 59(11), 1–22. https://doi.org/10.1080/00207543.2020.1868597
Mathivathanan et al. (2021) investigate the obstacles to the use of blockchain technology in the supply chain for businesses. Their research question focuses on identifying and understanding the obstacles that hinder integration of blockchain into supply chain management. The key findings reveal that lack of business awareness and familiarity with blockchain technology are most influential barriers impacting the decision to adopt blockchain in supply chains. The study stands out for its comprehensive analysis of blockchain adoption barriers in supply chains. Its usefulness in my paper lies in providing a nuanced understanding of the challenges associated with blockchain adoption.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of
Production Research, 57(7), 2117–2135.
Saberi et al. (2019) investigate the adoption of blockchain technology in supply chain management, focusing on its potential to address sustainability goals and overcome adoption barriers. The research question centers on how blockchain can revolutionize supply chain networks by providing transparency, security, and decentralization. The study categorizes adoption barriers into inter-organizational, intra-organizational, technical, and external factors, shedding light on the multifaceted nature of these issues. This source is invaluable for its unique contribution to identifying and categorizing blockchain barriers filling a research gap in the context of supply chains. It offers my literature reviews with benefit of blockchain technology in enhancing supply chain structures and relationships.
Agrawal, P., Narain, R., & Ullah, I. (2019). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modeling approach. Journal of Modelling in Management, 15(1), 297–317. https://doi.org/10.1108/jm2-03-2019-0066
Agrawal et al. (2019) identify and analyze barriers hindering implementation of Digital Supply Chain (DSC) and understand their interrelationships. The research question addresses the slow adoption of Digital Supply Chain Management (DSCM) despite its advantages. The research identifies “no sense of urgency,” “lack of industry-specific guidelines,” “lack of digital skills and talent,” and “high implementation and running cost” as the biggest challenges to digital transformation of the supply chain. This source is invaluable in providing structured analysis of barriers in DSC implementation. It informs my review of crucial obstacles impeding the transition to a digital supply chain.
Shukor, A. A. A., Newaz, Md. S., Rahman, M. K., & Taha, A. Z. (2020). Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms. International Journal of Emerging Markets, ahead-of-print(aheadof-print). https://doi.org/10.1108/ijoem-04-2020-0418
Shukor et al. (2020) explore relationship between environmental uncertainty, supply chain integration, agility, organizational flexibility, and ambidexterity in manufacturing companies. The research question revolved around understanding the drivers of supply chain agility and organizational flexibility. The study found environmental uncertainty to influence supply chain integration aspects like customer, supplier, and internal. Additionally, organizational ambidexterity played a crucial role in supply chain integration. Supply chain integration positively impacted agility in the supply chain and organizational flexibility. The source emphasizes the significance of environmental factors and organizational strategies in shaping supply chain integration, agility, and flexibility. I will use the source to emphasize the significance of addressing environmental uncertainty and fostering organizational ambidexterity as strategies to enhance supply chain integration, agility, and flexibility in manufacturing firms.
Chen, Q., Hall, D. M., Adey, B. T., & Haas, C. T. (2020). Identifying enablers for coordination across construction supply chain processes: a systematic literature review. Engineering, Construction, and Architectural Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ecam-05-2020-0299
Chen et al. (2020) address the challenge of coordinating construction supply chain processes effectively. It aimed to identify and categorize enablers for coordination across different phases of the supply chain. It focused on interfaces from design to manufacturing, production to logistics, and production to site assembly. Coordination categories enablers accounted into contractual, procedural, and technological domains. The study finds that new contractual forms combined with digital technology require further exploration. This source complements adds depth to the discussion on supply chain structures and relationships by identifying specific mechanisms and tools that facilitate coordination. The source will be valuable in illustrating ways construction supply chains can effectively manage interdependencies and enhance their performance.
Frederico, G. F., Garza-Reyes, J. A., Anosike, A., & Kumar, V. (2019). Supply Chain 4.0:
concepts, maturity, and research agenda. Supply Chain Management: An International Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/scm-09-2018-0339 Frederico et al. (2019) address the emerging concept of Industry 4.0 in supply chains, introducing the term “Supply Chain 4.0” and proposing a novel conceptual framework to capture the essence of Industry 4.0 within supply chain operations. They identify key constructs and dimensions forming core Supply Chain 4.0 framework like process performance requirements, technological levers, managerial and capability supporters, and strategic results. This source is valuable for the literature review as it offers a unique perspective on the integration of Industry 4.0 concepts into supply chain structures. It provides foundational constructs and dimensions enriching the discussion on supply chain structures and relationships.
Meherishi, L., Narayana, S. A., & Ranjani, K. S. (2019). Sustainable packaging for supply chain management in the circular economy: A review. Journal of Cleaner Production,
237(0959-6526), 117582. https://doi.org/10.1016/j.jclepro.2019.07.057
Meherishi et al. (2019) explore sustainable packaging in supply chain management (SPSCM) in circular economy. The research question centers on understanding the extent of research in SPSCM, thematic content, methodologies, and potential for future development. Findings reveal that SPSCM research trends are consistent with the principles of the circular economy but frequently ignore the relationship between products and their packaging system. The study provides valuable insights into supply chain structures and relationships, especially fragmented portions and dyads of the supply chain concerning packaging. This source provides literature review with comprehensive overview of SPSCM. It offers a conceptual framework that can inform discussions on sustainable packaging’s role in supply chain structures and relationships in the circular
economy.
Chowdhury, M. M. H., Quaddus, M., & Agarwal, R. (2019). Supply chain resilience for performance: role of relational practices and network complexities. Supply Chain
Management: An International Journal, 24(5), 659–676. https://doi.org/10.1108/scm-09-
2018-0332
Chowdhury et al. (2019) investigated role of supply chain resilience (SCRE) in enhancing supply chain performance (SCP) in supply chain relational practices (SCRPs) and network complexities (NCs). The study found that both SCRP and NC individually moderated the link between SCRE and SCP. The interaction effect of SCRP and NC strengthened the relationship between SCRE and SCP, even under high NC conditions. This source provides nuanced perspective on the interplay between supply chain resilience, relational practices, and network complexities. It offers empirical evidence of how these factors interact and influence supply chain performance, which aligns with my research on supply chain structures and relationships. In my literature review, I will use this source to emphasize the importance of considering relational practices and network complexities when analyzing supply chain structures.
References
Agrawal, P., Narain, R., & Ullah, I. (2019). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. Journal of Modelling in Management, 15(1), 297–317. https://doi.org/10.1108/jm2-03-2019-0066 Alghababsheh, M., & Gallear, D. (2020). Socially Sustainable Supply Chain Management and
Suppliers’ Social Performance: The Role of Social Capital. Journal of Business Ethics,
173(4). https://doi.org/10.1007/s10551-020-04525-1
Chen, Q., Hall, D. M., Adey, B. T., & Haas, C. T. (2020). Identifying enablers for coordination across construction supply chain processes: a systematic literature review. Engineering,
Construction and Architectural Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ecam-05-2020-0299
Chowdhury, M. M. H., Quaddus, M., & Agarwal, R. (2019). Supply chain resilience for performance: role of relational practices and network complexities. Supply Chain
Management: An International Journal, 24(5), 659–676. https://doi.org/10.1108/scm-09-
2018-0332
Delic, M., & Eyers, D. R. (2020). The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry.
International Journal of Production Economics, 228, 107689.
https://doi.org/10.1016/j.ijpe.2020.107689
Frederico, G. F., Garza-Reyes, J. A., Anosike, A., & Kumar, V. (2019). Supply Chain 4.0:
concepts, maturity and research agenda. Supply Chain Management: An International Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/scm-09-2018-0339 Hussain, M., & Malik, M. (2020). Organizational enablers for circular economy in the context of sustainable supply chain management. Journal of Cleaner Production, 256, 120375.
https://doi.org/10.1016/j.jclepro.2020.120375
Mardani, A., Kannan, D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B. (2019). Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research. Journal of Cleaner Production, 119383.
https://doi.org/10.1016/j.jclepro.2019.119383
Mathivathanan, D., Mathiyazhagan, K., Rana, N. P., Khorana, S., & Dwivedi, Y. K. (2021). Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach. International Journal of Production
Research, 59(11), 1–22. https://doi.org/10.1080/00207543.2020.1868597
Meherishi, L., Narayana, S. A., & Ranjani, K. S. (2019). Sustainable packaging for supply chain management in the circular economy: A review. Journal of Cleaner Production,
237(0959-6526), 117582. https://doi.org/10.1016/j.jclepro.2019.07.057
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of
Production Research, 57(7), 2117–2135.
Schmidt, C. G., & Wagner, S. M. (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25(4), 100552.
sciencedirect. https://doi.org/10.1016/j.pursup.2019.100552
Shin, N., Park, S., & Park, S. (2019). Partnership-Based Supply Chain Collaboration: Impact on
Commitment, Innovation, and Firm Performance. Sustainability, 11(2), 449. https://doi.org/10.3390/su11020449
Shukor, A. A. A., Newaz, Md. S., Rahman, M. K., & Taha, A. Z. (2020). Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms. International Journal of Emerging Markets, ahead-of-print(aheadof-print). https://doi.org/10.1108/ijoem-04-2020-0418
Yang, Z., & Lin, Y. (2020). The effects of supply chain collaboration on green innovation performance:An interpretive structural modeling analysis. Sustainable Production and
Consumption. https://doi.org/10.1016/j.spc.2020.03.010
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