Building Supply Chain Research Articles

未利用バイオガスを活用した液化バイオメタンサプライチェーンの構築

未利用バイオガスを活用した液化バイオメタンサプライチェーンの構築

The moderating effect of farming contracts on the relationship between responsive supply chain elements and supply chain resilience

Food supply chain disruptions have of recent increased in terms of severity and frequency leading to viability problems for most businesses in related supply chain networks and hunger among millions of human beings. In the extant supply chain literature elements of responsive supply chain such as velocity, versatility, and visibility have been suggested as some of the possible strategies to build supply chain resilience. It has therefore been suggested in this study that these elements’ influence on supply chain resilience is moderated by contract farming as a special form of supplier development. Farming contracts are either production or marketing contracts. Data was collected from a conveniently selected sample of 200 restaurants that use supplier development in the form of contract farming for acquiring critical resources for their operations. A structural equation modelling was used to analyse data related to the direct effects and multi group structural equation modelling was used to assess the moderating effects. The results revealed that there is a statistically significant relationship between the three selected elements of responsive supply chain management and supply chain resilience, and all the hypothesised relationships were moderated by type of farming contracts, with the relationships being stronger under marketing contracts for supply chain velocity, and under production contracts than under marketing contracts for relationships involving versatility and visibility. Therefore, the study recommended that production contracts be used in the fast-food restaurant industry in order to reduce supply chain vulnerabilities, and marketing contracts to build supply chain capabilities. This is the first study that has sought to assess the differential utility of different farming contracts through assessing their moderating effects as a build-up on previous research that has already established that supplier development in the form of contract farming leads to supplier development.

Research on the Construction of China-ASEAN Free Trade Area 3.0 Version Based on RCEP

China-ASEAN Free Trade Area is in a critical period of development. After the implementation of the Regional Comprehensive Economic Partnership Agreement (RCEP), higher requirements have been put forward for the construction of the China-ASEAN Free Trade Area. To a certain extent, it can promote the China-ASEAN Free Trade Area to break through the bottleneck and upgrade the construction, and provide new momentum for in-depth regional cooperation. At present, there are still some problems in the development of China-ASEAN Free Trade Area. There are continuous disputes in Southeast Asia and more frictions and contradictions. There are great differences in interest demands and similar economic and trade structures; the financial cooperation mechanism is backward, and the development of monetary integration is hindered. In order to promote the upgrading and construction of the free trade area, in response to these problems, the China-ASEAN Free Trade Area should clarify its dominance and create a core economic force and coordination mechanism; optimize integration and build supply chain resilience of production chain; with the help of the "Belt and Road" opportunity, break through the upgrading bottleneck; promote RMB regionalization, deepen financial cooperation reform and other development proposals.

A Novel Hybrid Methodology to Study the Risk Management of Prefabricated Building Supply Chains: An Outlook for Sustainability

The management of the prefabricated building supply chain involves the entire process of prefabricated buildings. There are many uncertain factors, and the risk factors in any link will affect the overall operation of the supply chain. In order to achieve the “dual carbon” goal as soon as possible and promote the sustainable development of the building supply chain, it is very important to study the risk management of the assembly building supply chain. The risk management of the prefabricated building supply chain involves risk recognition, risk prediction, risk assessment, and risk response. In this study, on the basis of literature research, the WBS-RBS (Work Breakdown Structure–Risk Breakdown Structure) method comprehensively uses the working link and risk type of the prefabricated building supply chain to establish an indicator system for risk factors in the prefabricated building supply chain. Then, the risk prediction and evaluation model of the neural network of BP (Back Propagation) through Python software is established to predict the risk of prefabricated building supply chains. After verification, it was found that the accuracy of the training set and test set reached 100% and 96.6667%. The results showed that the BP neural network had good effects on the risk forecast of the prefabricated building supply chain, which provided certain risk predictions for the risk prediction of the prefabricated building supply chain. For reference, on the basis of risk prediction, in order to explore the importance of risk factors to the results of BP neural network prediction results, the characteristic importance algorithm of machine learning replacement features further analyzes the risk factors of the prefabricated building supply chain. Finally, based on the prefabricated construction project of enterprise A, risk prediction and evaluation of its supply chain management were carried out, countermeasures for targeted risks were proposed, and we provided new research on the sustainable development of the assembled building supply chain to provide new research ideas.

Research on Resilience Evaluation of Green Building Supply Chain Based on ANP-Fuzzy Model

As the critical object of ecological civilization construction, the risk of supply chain interruption in green building is increasing. Identifying the weak links of the green building supply chain and evaluating the resilience level is significant in promoting the green development of the construction industry. Firstly, according to the characteristics of the green building supply chain, this paper constructs the evaluation index system of green building supply chain resilience and uses the interpretative structural model (ISM) to analyze the correlation degree between evaluation indexes. Secondly, the ANP-Fuzzy comprehensive evaluation model is established to evaluate the resilience of the green building supply chain. Finally, an empirical study is conducted on a green building project in Jiaozuo City. According to the results, the ANP-Fuzzy comprehensive evaluation model can objectively evaluate the resilience level of the green building supply chain and apply it to practical case analysis.

How to build supply chain resilience: The role of fit mechanisms between digitally-driven business capability and supply chain governance

Drawing upon resource orchestration theory, we argue that deploying digitally-driven business capability aligned with supply chain governance may improve supply chain resilience. Using a sample of Chinese agriculture firms, the empirical analysis verified three fit mechanisms (complementing fit, balancing fit, and configuring fit) between digitally-driven business capability and supply chain governance and their effects on supply chain resilience. This research offers novel insights into the specific actualization mechanisms by which digitally-driven business capability and supply chain governance jointly improve supply chain resilience. Implications for management and future Information Systems (IS) research are provided.

Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis

PurposeThis paper constructs the uncertainty analysis model of prefabricated building supply chain risk. The model is designed to study the formation path of prefabricated building supply chain risk and is expected to be used by industry stakeholders for supply chain risk management.Design/methodology/approachBased on the uncertainty circle model, construct a configuration analysis framework for supply chain risks in prefabricated buildings. The fuzzy set qualitative comparative analysis (fsQCA) is used to study the configuration influence of five uncertain factors, including environment, plan-control, demand-supply, manufacturing and assembly-transportation, on the risk of the prefabricated building supply chain.FindingsThere are three paths to promote the high-risk generation of the prefabricated building supply chain: assembly-transportation-oriented, plan-control-oriented and manufacturing-oriented. There is a specific equivalent substitution relationship among the five causal conditions. Under specific conditions, different combinations of conditions have the same effect on promoting supply chain high-risk generation through equivalent substitution.Originality/valueThe multiple concurrent causal relationships of risk conditions in the assembly construction supply chain are studied under the grouping perspective, which helps to expand the research perspective of assembly construction supply chain risk and provides theoretical guidance for supply chain risk management of construction enterprises.

Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the “edge”

Disruptive events with damaging consequences afflict supply chains across industries. The survival of the business and its consequent recovery depend on the supply chain's resilience. This exploratory article discusses how technology-driven real-time decision-making in a connected supply chain achieves intended business outcomes of resilience, agility, and visibility. Based on an Integrative Literature Review and adopting a Design Science Research Methodology (DSRM), we propose a distributed approach for real-time inferencing in edge near the data sources for rapid autonomous decisioning and recovery planning under disruption. We develop a framework for building resilience in the supply chain using real-time distributed information sharing in a collaborative partner ecosystem. Visibility across the supply chain is ensured with a Digital Control Tower by making information available to any connected node for synchronized action. The important contribution of this research is building a real-time decision framework for sustainable resilience-building in resource-constrained organizations unable to invest in big data and enterprise systems. A set of design propositions following the CIMO framework is expected to help scholars and practitioners alike. A research agenda is provided for the researchers to take forward hypothesis formulation and empirical validation on the basis of the propositions. (194 words)

Blockchain technology in supply chain management: an organizational theoretic overview and research agenda.

Blockchain technology is touted as a game-changer. Many experts consider blockchain technology as one of the disruptive innovations. Following significant success in the banking and finance sector, blockchain technology has found significant success in all fields, including health, manufacturing, transportation, disaster relief operations, and many others. Recently, the academician has contributed significantly towards understanding blockchain technology and its application in the management field. To understand how the literature on blockchain technology in the supply chain has progressed, we undertook an extensive review of the literature published in peer-reviewed journals using databases such as SCOPUS. We have further classified our literature into four stages (pre-adoption, adoption, implementation, and application). Finally, we synthesized the findings of the study and proposed a research framework to explain how an organization can build supply chain resilience and enhance supply chain performance with the help of blockchain technology. Finally, we have noted the limitations of the study and future research directions.

Embracing change in tandem: resilience and sustainability together transforming supply chains

PurposeThis article investigates how micro-foundations of sustainability can build supply chain resilience (SCRes). Specifically, by defining supply chains as social-ecological systems, this article explores how sustainability as a supplier capability leads to the transformative development of SCRes capabilities.Design/methodology/approachLongitudinal multi-case studies were developed over the first year of the COVID-19 outbreak. A total of 52 interviews were conducted with managers and employees of 12 global supplier firms as well as associated local cooperative and consultancy managers. Secondary data were also used for triangulation. An inductive approach was used for data analysis to elaborate theory through a metaphor.FindingsNine micro-foundations of sustainability were identified and categorised using the dynamic capabilities steps: sensing, seizing and reconfiguring. They were found to move together with the preparing, responding and transforming steps of SCRes, respectively, and thus to perform as dance partners using our dance performance metaphor. Moreover, ten supplier cases were found to be adopting a transformative social-ecological perspective as they performed all key stages of our dance performance metaphor. The transformations all resulted from either institutional or social sustainability, and the associated micro-foundations generated six main SCRes capabilities, most commonly linking visibility and organisation with institutional and social sustainability respectively.Practical implicationsA deeper understanding of sustainability micro-foundations is provided for supply chain managers to enhance the development of SCRes strategies in preparation for future sustainability-related crises.Originality/valueUnlike previous research, this article explores an intertwined understanding of SCRes and sustainability during a crisis. Through the micro-foundations of sustainability we explain how sustainability capability builds transformative SCRes using a supplier perspective.

ALGORITHM FOR DIGITAL TRANSFORMATION OF SUPPLY CHAINS ON RAILWAY TRANSPORT

In the article, based on the analysis of scientific literature and practical aspects of the functioning of railway transport, an algorithm for the digital transformation of supply chains is substantiated. As part of the substantiation of the algorithm, the author's approach to the content of digital transformation was formulated, and the main goal of implementing this process in the conditions of the Belarusian Railway was determined. The algorithm was formed on the basis of the Gartner Stage maturity model with the appropriate adaptation of the maturity stages to the specifics of the functioning of railway transport and the specifics of building supply chains. Unlike the classical version of passing the Gartner Stage stages, the presented algorithm does not imply a unidirectional and sequential passage of all stages, but the passage of the second, third and fourth levels repeated several times, due to the complex nature of the digital technologies used and the impossibility of their stable functioning without interaction with each other.

The role of communication quality, relational commitment, and reciprocity in building supply chain resilience: A social exchange theory perspective

Although supply chain risk management is a process that can be actualized through collaboration and communication in supply chains, little is known about how social factors can lead to supply chain resilience (SCR). The present study evaluates the relationship between supply chain members as social relationships and explores their role in SCR. Following the social exchange theory perspective, communication quality, reciprocity, and relational commitment are examined as the potential antecedents of SCR. The mediating role of communication quality in linking reciprocity and relational commitment to SCR is also investigated. Partial least squares structural equation modeling is used to test the research hypotheses and analyze the data obtained from prominent executives of manufacturing firms. Our findings indicate that communication quality is an imperative factor in explaining SCR. We also found that communication quality mediates the relationship between relational commitment and SCR and between reciprocity and SCR. In line with previous literature, SCR is positively related to supply chain risk management performance, empirically supporting the proposed value of SCR for firm risk management processes. This paper advances a new front in SCM research by adopting the social exchange theory perspective and empirically examining the role of communication quality, relational commitment, and reciprocity.

An Evaluation Model of Carbon Emission Reduction Effect of Prefabricated Buildings Based on Cloud Model from the Perspective of Construction Supply Chain

Prefabricated buildings are the future direction of the construction industry. The carbon reduction in prefabricated buildings has attracted increasing attention due to its importance to low-carbon and energy savings in the construction industry and achieving China’s “dual carbon” goal. Although research has been conducted on carbon reduction in prefabricated buildings, the use of cloud models for carbon reduction effect evaluation has not been explored. This study therefore aims to develop a cloud model-based evaluation of the carbon emission reduction effect for prefabricated buildings incorporating the characteristics of prefabricated buildings and the building supply chain. The developed model can support assessments of the whole life cycle phases of a prefabricated building. Firstly, carbon flow analysis is carried out from the perspective of the construction supply chain, and the carbon emission reduction effect evaluation index system of prefabricated buildings is established, which contains 5 guideline layers and 26 carbon emission reduction indicators. Secondly, the Continuous Ordered Weighted Averaging operator (C-OWA) is used to calculate the index weight calculation, and the cloud model is applied to conduct a comprehensive evaluation of the carbon emission reduction effect. Finally, this model is applied to evaluate the carbon emission reduction effect in the case of a building. The case study validated the efficiency of the developed model. This study extends the knowledge of carbon emission reduction by addressing specific characteristics of prefabrication and the construction supply chain. This validated model will enhance the willingness to apply prefabricated buildings to reduce carbon emissions and achieve the “dual carbon” goal.

Impacts of IT capability and supply chain collaboration on supply chain resilience: empirical evidence from China in COVID-19 pandemic

PurposeBuilding supply chain resilience is increasingly recognized as an effective strategy to deal with supply chain challenges, risks and disruptions. Nevertheless, it remains unclear how to build supply chain resilience and whether supply chain resilience could achieve a competitive advantage.Design/methodology/approachBy analyzing the data collected from 216 firms in China, the current study empirically examines how information technology (IT) capability and supply chain collaboration affect different forms of supply chain resilience (external resilience and internal resilience) and examines the performance implications of these two forms of supply chain resilience.FindingsResults show that IT capability is positively related to external resilience, whereas supply chain collaboration is positively related to internal resilience. The combination of IT capability and supply chain collaboration is positively related to external resilience. In addition, internal resilience is positively related to firm performance.Research limitations/implicationsThis study used only cross-sectional data from China for hypothesis testing. Future studies could utilise longitudinal data and research other countries/regions.Practical implicationsThe findings systematically assess how IT capability and supply chain collaboration contribute to supply chain resilience and firm performance. The results provide a benchmark of supply chain resilience improvement that can be expected from IT capability and supply chain collaboration.Originality/valueThe study findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

Exploration in carbon emission reduction effect of low-carbon practices in prefabricated building supply chain

Prefabricated buildings (PBs) are recognized as an effective solution to reduce emissions in the construction industry. Existing researches reveal abatement potential of prefabrication comparing to traditional construction methods, but overlook low-carbon practices adopted by stakeholders during prefabrication processes which can unlock green opportunity for PBs. This paper develops a game-based system dynamics (SD) model to explore the implementation effects of low-carbon practices from prefabricated building supply chain (PBSC) perspective. SD model describes the equilibriums of game model and reflects the sources of carbon emissions during prefabrication processes, including prefabricated components production, transportation and on-site assembly. Major variables influencing carbon emission reduction level of PBSC are also discussed. The results demonstrate that 1) low-carbon practices can effectively mitigate carbon emissions while the participants' profits are improved; 2) with gradual enhancement of developers’ environmental awareness and continuous promotion of prefabrication, effects of low-carbon practices can be further strengthened; 3) carbon taxes cannot always stimulate implementation of low-carbon practices, especially in the initial development stage of prefabricated buildings. This research can provide the PBSC members with supports for adopting low-carbon practices and help government formulate a prospective carbon-reduction policy.

An Approach of Decision-Making under the Framework of Fermatean Fuzzy Sets

Because of its influence on various elements of human life experiences and conditions, the building industry is a significant business. In the recent past, environmental considerations have been incorporated in the design and planning stages of building supply chains. The process of evaluating and selecting suppliers is one of the most important issues in supply chain management. A multicriteria decision-making (MCDM) problem can be utilized to handle such issues. The goal of this research is to present a new and efficient technique for selecting suppliers with ambiguous data. The suggested methodology’s structure is based on technology for order of preference by similarity to ideal solution (TOPSIS), with Fermatean fuzzy sets ( F r FSs) employed to cope with information uncertainty. In this article, authors modified the distance between F r FSs to propose the similarity measure and implemented it to form the MCDM model to resolve the vague and uncertain data. Moreover, we used this similarity measure to choose the optimal alternative. A practical example for alternative selection is provided, along with a comparison of the acquired findings to existing approach. Finally, to strengthen the outcome obtained through the proposed model, sensitivity analysis and time complexity analysis are performed.

Alkem Laboratories: managing employee motivation during pandemics

Theoretical basis The case dwells with the following theoretical concepts: Appreciate the different need dimensions required to motivate different employee types based on need theory (Alderfer, 1969). Identify the functional needs as per Maslow’s need hierarchy (Hall & Naougaim, 1968) for the permanent and contractual workers. Outline why only hygiene factors are insufficient to arrest worker absenteeism during a pandemic like COVID-19. Apply need theory and “Herzberg’s two-factor theory” (Herzberg, 1966; Herzberg et al., 1957) to enumerate the measures that need to be implemented to build supply chain resilience by reducing absenteeism by motivating employees. Research methodology The case is based on primary research carried out by the authors at Alkem Laboratories Ltd., Sikkim unit in India, during the COVID-19 pandemic that hit the company leading to high absenteeism of contractual workers. Case overview/Synopsis Alkem Laboratories Ltd. is a leading pharma major from India with a global footprint. At the break of COVID-19 pandemic, the manufacturing unit of the company at Sikkim is facing the scare of mass absenteeism, especially among the contractual workers who account for 60% of the workforce of the unit. Ashok Priyadarshi (Vice President, Human Resources) and his team along with the think tank of the unit have to find a solution to the problem at hand. What shall be the measures that the think tank will propose? The team sets out to find an answer to these questions so that Alkem could seize the business opportunity at the wake of the COVID-19 pandemic. Complexity academic level The case is suitable for undergraduate- and graduate-level courses in organizational behavior, organizational change and development and supply chain risk management. The case can also be positioned for executive education and training modules in companies on employee motivation and commitment.

Building Supply Chain Resilience and Market Performance through Organizational Culture: An Empirical Study Utilizing the Stimulus-Organism-Response Model

Purpose – Supply chain disruptions have dominated business planning and performance since the beginning of the COVID-19 pandemic and continue to mar organizations through 2022. This research carefully examines the role of organizational culture in developing both supply chain resilience and market performance amid supply chain disruptions.
 Design/Methodology/Approach – An empirical study of over 200 South Korean firms were tested. The model is tested using PLS-SEM; furthermore, mediation effects enrich the quality of the findings. This research is framed utilizing the stimulus-organism-response model; thus, emphasizing the highly dynamic business environment that has ensued.
 Findings – The research confirms that supply chain disruption orientation, a strategic orientation and a proxy for a well-prepared organizational culture, leads to both supply chain resilience and market performance. Results also confirm that resilience reinforces market performance throughout the supply chain. Study contributions suggest that firms should consider themselves as organisms within a highly dynamic environment and develop a highly prepared organizational culture in order to bolster supply chain resilience and market performance.
 Research Implications – Scholars can further employ the stimulus-organism-response model in firm-level research and further study the link between organizational culture and supply chain performance amid COVID-19. Finally, the results of this research provide guidelines for organizations when they decide on operational procedures during the pandemic, as they aim to produce greater returns for their ventures.

Impact of Supply Chain Integration, Supply Chain Responsiveness, and Innovation Capability on Operational Performance in Era Covid-19

The study investigated the influence of supply chain integration on operational performance through supply chain responsiveness and innovation capability. Data collection used a questionnaire designed with a 7-point Likert scale in Google Form and printed format. The questionnaire is distributed through social media, email, WhatsApp, and mail posts. The sampling method uses probability sampling technique utilizing online software https://numbergenerator.org/. Of the 266 population of food and beverage companies in East Java, as many as 140 samples were selected. Data analysis used the partial least square technique (PLS) utilizing SmarrtPLS Version 3.0 software. The analysis results showed that the nine hypotheses formulated were empirically and significantly supported. Supply chain integration affects supply chain responsiveness, innovation capability, and operational performance. In addition, supply chain responsiveness and innovation capability positively affect operational performance. This study's exciting and new findings are the mediating role of supply chain responsiveness and innovation capability. This result offers solutions to practitioners to build supply chain integration, supply chain responsiveness, and innovation capability to improve operational performance. The theoretical contribution of this research is mainly in the mediating role of supply chain responsiveness and innovation capability on the influence of supply chain integration on operational performance.

Role of systems engineering attributes in enhancing supply chain resilience: Healthcare in context of COVID-19 pandemic

In recent years, the area of supply chain resilience has received heightened attention as a plethora of new risks, ranging from climate change to cybersecurity and infectious diseases, have emerged as serious threats to operational performance. The COVID-19 pandemic, in particular, has exposed the fragility of global supply chains in many sectors. Given these concerns, supply chain networks, including those designed based on the principles of lean philosophies, are increasingly being re-examined as firms grapple with the challenge of strengthening the capacity to withstand, absorb, and rebound from unexpected shocks. Addressing the urgency of this imperative, this study presents a novel framework—based on theories and concepts in the systems engineering (SE) and supply chain resilience domains to enhance the resilience implementation capabilities that are lacking in many of today's firms. By applying a Grounded Theory methodology, this study develops and validates a conceptual model that identifies six core attributes fundamental to developing resilience capabilities in complex supply chains. The study concludes by providing examples of, and insights into, the role of these attributes in building supply chain resilience.