scholarly journals Supply chain learning of sustainability in multi-tier supply chains

2018 ◽  
Vol 38 (4) ◽  
pp. 1061-1090 ◽  
Author(s):  
Yu Gong ◽  
Fu Jia ◽  
Steve Brown ◽  
Lenny Koh
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Multinational Corporations ◽  
Resource Dependence ◽  
Resource Dependence Theory ◽  
Chain Structure ◽  
Content Type ◽  
External Resources ◽  
Resource Orchestration ◽  
Project Lifecycle

Purpose The purpose of this paper is to explore how multinational corporations (MNCs) orchestrate internal and external resources to help their multi-tier supply chains learn sustainability-related knowledge. Design/methodology/approach An exploratory multiple case study approach was adopted and three MNCs’ sustainable initiatives in China were examined. The data were primarily collected through 43 semi-structured interviews with managers of focal companies and their multi-tier suppliers. Findings The authors found that in order to facilitate their supply chains to learn sustainability, MNCs tend to orchestrate in breadth by internally setting up new functional departments and externally working with third parties, and orchestrate in depth working directly with their extreme upstream suppliers adopting varied governance mechanisms on lower-tier suppliers along the project lifecycle. The resource orchestration in breadth and depth and along the project lifecycle results in changes of supply chain structure. Practical implications The proposed conceptual model provides an overall framework for companies to design and implement their multi-tier sustainable initiatives. Companies could learn from the suggested learning stages and the best practices of case companies. Originality/value The authors extend and enrich resource orchestration perspective (ROP), which is internally focused, to a supply chain level, and answer a theoretical question of how MNCs orchestrate their internal and external resources to help their supply chains to learn sustainability. The extension of ROP refutes the resource dependence theory, which adopts a passive approach of relying on external suppliers and proposes that MNCs should proactively work with internal and external stakeholders to learn sustainability.

scholarly journals Supply chain strategies in an era of natural resource scarcity

2018 ◽  
Vol 38 (3) ◽  
pp. 784-809 ◽  
Author(s):  
Dimitra Kalaitzi ◽  
Aristides Matopoulos ◽  
Michael Bourlakis ◽  
Wendy Tate
Keyword(s):  
Supply Chain ◽  
Natural Resource ◽  
Resource Dependence ◽  
Empirical Work ◽  
Resource Dependence Theory ◽  
Resource Scarcity ◽  
The Body ◽  
Manufacturing Companies ◽  
Content Type ◽  
Natural Resource Scarcity

Purpose The purpose of this paper is to explore the implications of natural resource scarcity (NRS) for companies’ supply chain strategies. Design/methodology/approach Drawing on the resource dependence theory (RDT), a conceptual model is developed and validated through the means of exploratory research. The empirical work includes the assessment of qualitative data collected via 22 interviews representing six large multinational companies from the manufacturing sector. Findings When the resources are scarce and vitally important, companies use buffering strategies. Buffering and bridging strategies are preferred when there are a few alternative suppliers for the specific resource and when there is limited access to scarce natural resources. Research limitations/implications The research focuses on large multinational manufacturing companies so results may not be generalised to other sectors and to small- and medium-sized firms. Future research needs to examine the implications of NRS for organisational performance. Practical implications This research provides direction to manufacturing companies for adopting the best supply chain strategy to cope with NRS. Originality/value This paper adds to the body of knowledge by providing new data and empirical insights into the issue of NRS in supply chains. The RDT has not been previously employed in this context. Past studies are mainly conceptual and, thus, the value of this paper comes from using a qualitative approach on gaining in-depth insights into supply chain-related NRS strategies and its antecedents.

scholarly journals Can Lean and Agile organisations within the UK automotive supply chain be distinguished based upon contextual factors?

2018 ◽  
Vol 23 (3) ◽  
pp. 239-254 ◽  
Author(s):  
Amir Qamar ◽  
Mark Hall
Keyword(s):  
Supply Chain ◽  
Resource Dependence ◽  
Contextual Factors ◽  
Resource Dependence Theory ◽  
Theory And Practice ◽  
Survey Analysis ◽  
Content Type ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
Agile Production

PurposeThe purpose of this paper is to robustly establish whether firms are implementing Lean or Agile production in the automotive supply chain (SC) and, by drawing on contingency theory (CT) as our theoretical lens, independently determine whether Lean and Agile firms can be distinguished based upon contextual factors.Design/methodology/approachPrimary quantitative data from 140 firms in the West Midlands (UK) automotive industry were obtained via a constructed survey. Analysis incorporated the use of logistic regressions to calculate the probability of Lean and Agile organisations belonging to different groups amongst the contextual factors investigated.FindingsLean and Agile firms co-exist in the automotive SC and Lean firms were found to be at higher tiers of the SC, while Agile firms were found to be at lower tiers.Originality/valueThe originality of this study lies within the novel methodological attempt used to distinguish Lean and Agile production, based upon the contextual factors investigated. Not only is the importance of CT theoretically approved, but “received wisdom” within SC management is also contested. Extant literature propagates that the automotive SC is comprised of organisations that predominantly adopt Lean production methods, and that in SCs comprised of both Lean and Agile organisations, the firms closer to the customer will adopt more flexible (Agile) practices, while those that operate upstream will adopt more efficient (Lean) practices. The findings from this study have implications for theory and practice, as Lean and Agile firms can be found in the automotive SC without any relationship to the value-adding process. To speculate as to why the findings contest existing views, resource dependence theory and, more specifically, a power perspective, was invoked. The authors provide readers with a new way of thinking concerning complicated SCs and urge that the discipline of SC management adopts a “fourth” SC model, depicting a new Lean and Agile SC configuration.

Benchmarking the triple-A supply chain: orchestrating agility, adaptability, and alignment

2019 ◽  
Vol 26 (1) ◽  
pp. 271-295 ◽  
Author(s):  
Javad Feizabadi ◽  
Michael Maloni ◽  
David Gligor
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Design Methodology ◽  
Comprehensive Model ◽  
Content Type ◽  
Supply Chain Agility ◽  
Resource Orchestration ◽  
Potential Benefits ◽  
Antecedents And Consequences ◽  
Comprehensive Framework

PurposeLimited research examines the triple-A supply chain of agility, adaptability and alignment. The purpose of this paper is to draw on extant literature under the lens of resource orchestration theory to develop a comprehensive framework of antecedents and consequences of triple-A supply chains, allowing both scholars and practitioners to benchmark and prioritize triple-A capabilities.Design/methodology/approachA systematic literature review focusing on four supply chain journals is conducted to integrate the distinct bodies of knowledge on supply chain agility, adaptability and alignment.FindingsThe integration of this literature identifies common and distinct antecedents and consequences of each, developing a comprehensive model of triple-A supply chains as well as proposing opportunities for further study.Originality/valueLimited studies to date have an integrated agility, adaptability and alignment, thus lacking a comprehensive framework of triple-A supply chains. Managers can use the findings to determine actions needed to deploy triple-A capabilities and better understand the resulting potential benefits.

Additive manufacturing in the apparel supply chain — impact on supply chain governance and social sustainability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marlene M. Hohn ◽  
Christian F. Durach
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Working Conditions ◽  
Resource Dependence ◽  
Market Competition ◽  
Social Sustainability ◽  
Well Being ◽  
Content Type ◽  
Supply Chain Governance

PurposeFocusing on the apparel industry, this study extends current knowledge on how additive manufacturing (AM) may impact global supply chains regarding structures of interorganizational governance and the industry's social-sustainability issues.Design/methodology/approachFollowing an exploratory research design, two consecutive Delphi studies, with three survey rounds each, were conducted to carve out future industry scenarios and assess AM's impact on supply chain governance and social sustainability.FindingsThe implementation of AM is posited to reinforce existing supply chain governance structures that are dominated by powerful apparel retailers. Retailers are expected to use the increased production speed and heightened market competition to enforce faster fashion cycles and lower purchasing prices, providing a grim outlook for future working conditions at the production stage.Social implicationsAgainst the common narrative that technological progress increases societal well-being, this study finds that new digital technologies may, in fact, amplify rather than improve existing social-sustainability issues in contemporary production systems.Originality/valueThis article contributes to the nascent research field of AM's supply chain impact as one of the first empirical studies to analyze how AM introduction may impact on interorganizational governance while specifically addressing potential social-sustainability implications. The developed propositions relate to and extend the resource dependence and stakeholder perspectives on governance and social sustainability in supply chains. For managers, our results enrich the discussion about the potential use of AM beyond operational viability to include considerations on the wider implications for supply chains and the prevailing working conditions within them.

Relational enablers of information sharing: evidence from Chinese food supply chains

2017 ◽  
Vol 117 (5) ◽  
pp. 838-852 ◽  
Author(s):  
Shaoling Fu ◽  
Zhaojun Han ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Food Supply ◽  
Relationship Management ◽  
Resource Dependence Theory ◽  
Relationship Commitment ◽  
Quality And Safety ◽  
Content Type ◽  
Food Supply Chains

Purpose Facilitating supply chain visibility and traceability through effective information sharing is vital to improve the quality and safety of food products. However, we know little about the enablers of information sharing in food supply chains. Drawing upon resource dependence theory and social exchange theory, the purpose of this paper is to explore how farmers’ dependence on companies influences their trust in and relationship commitment to those companies, and in turn facilitates effective information sharing with them. Design/methodology/approach Data collected from 462 farmers in China were used to test the conceptual model and related hypotheses. Findings The results show that dependence has a significant positive effect on trust and relationship commitment, but it has no direct significant effect on information sharing. In addition, trust has a significantly positive influence on relationship commitment, and both trust and relationship commitment have significantly positive effects on information sharing. These findings show that strengthening farmers’ dependence on companies can cultivate farmers’ trust and relationship commitment, thereby encouraging them to share information with the companies. Originality/value Theoretically, this study contributes to the supply chain information sharing and relationship management literature. Practically, it shows how companies can effectively monitor production processes and improve food quality and safety through information sharing and relationship management.

The “snowball effect” in the transmission of disruptions in supply chains

2016 ◽  
Vol 27 (3) ◽  
pp. 1002-1038 ◽  
Author(s):  
Artur Swierczek
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chains ◽  
Chain Structure ◽  
Supply Chain Integration ◽  
Negative Consequences ◽  
Content Type ◽  
External Risk ◽  
Supply Chain Structure ◽  
Snowball Effect

Purpose The purpose of this paper is to explore the link between interorganizational integration with respect to its intensity and span, as well as the propagation and amplification of disruptions alongside a supply chain. Design/methodology/approach The paper opted for an exploratory study using a survey of companies. In order to extract the constructs manifesting the span and intensity of integration between companies in supply chains, the principal component analysis was employed. The obtained factor scores were then used as classification criteria in the cluster analysis. It enabled to include similar organizations in terms of intensity and span of supply chain integration. In order to validate the obtained results, the analysis of variance (ANOVA) was conducted and regression models were developed. Findings The findings of the study show that there is a relationship between the intensity and span of supply chain integration and the “snowball effect” in the transmission of disruptions. The obtained findings show that the span of supply chain integration is negatively associated with the strength of the “snowball effect” in the transmission of disruptions. In addition, the results suggest that more intense supply chain integration contributes to the “snowball effect” in material flows in the forward and backward transmission of disruptions. Research limitations/implications Although the current study investigates the intensity and span of integration within the basic, extended and ultimate supply chain structure, it still lacks the broader analysis of the “snowball effect” in the transmission of disruptions. The study investigates this phenomenon only within the basic supply chain structure, constituted by the primary members. Another challenge is to examine if the effects of external risk factors (e.g. natural disasters) may also be transferred to other links in the supply chain structure, and what are the similarities and differences (if any) between the mechanism of propagation and amplification of disruptions elicited by internal and external risk factors. Another future direction of study is to define other ways of identification and measurement of the “snowball effect” in order to make cross-industrial and international comparisons of disruptions amplified in the transmission more standardized and objective. In the current study, the phenomenon of the “snowball effect” is anchored in the subjective opinions of managers who may view the problem from different angles. Consequently, the study is limited to individual perceptions of the strength of disruptions affecting the solicited company, its customers and suppliers. Practical implications In practical terms, the findings provide crucial information for the framework of supply chain risk management and therefore enable its more efficient and effective implementation. The better the managers understand the nature of the “snowball effect” in the transmission of disruptions, the easier it is for them to allocate resources and apply necessary managerial tools to mitigate the negative consequences of risk more effectively. The deliverables of the study also confirm that the interorganizational exchange of information accompanying the supply chain integration enables to mitigate the strength of the “snowball effect” in the transmission of disruptions. Another important implication is the broadening of practical expertise concerning the use of integration not only as a means of obtaining and sustaining supply chain effectiveness and efficiency, but also as the way to mitigate the “snowball effect” in the transmission of disruptions. Therefore, nowadays the supply chain managers are facing another challenging task – namely, how to balance supply chain integration in terms of span and intensity to ensure profits from integration and mitigate the negative risk consequences transmitted among the links in supply chains. Originality/value The paper elaborates on the underestimated issue of the “snowball effect” in the transmission of disruptions and its drivers. In particular, the paper attempts at filling the gap in empirical studies concerning the relationships between the “snowball effect” in the transmission of disruptions and supply chain integration.

Layer analysis of CO2 sources in the US economic supply chains: an input output LCA study

2017 ◽  
Vol 117 (10) ◽  
pp. 2171-2193 ◽  
Author(s):  
Gokhan Egilmez ◽  
N. Muhammad Aslaam Mohamed Abdul Ghani ◽  
Ridvan Gedik
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Carbon Footprint ◽  
Sustainability Assessment ◽  
Chain Structure ◽  
Total Carbon ◽  
Input Output ◽  
Content Type ◽  
The Us ◽  
Supply Chain Structure

Purpose Carbon footprint assessment requires a holistic approach, where all possible lifecycle stages of products from raw material extraction to the end of life are considered. The purpose of this paper is to develop an analytical sustainability assessment framework to assess the carbon footprint of US economic supply chains from two perspectives: supply chain layers (tiers) and carbon footprint sources. Design/methodology/approach The methodology consists of two phases. In the first phase, the data were collected from EORA input output and environmental impact assessment database. In the second phase, 48 input-output-based lifecycle assessment models were developed (seven CO2 sources and total CO2 impact, and six supply chain tiers). In the third phase, the results are analyzed by using data visualization, data analytics, and statistical approaches in order to identify the heavy carbon emitter industries and their percentage shares in the supply chains by each layer and the CO2 source. Findings Vast majority of carbon footprint was found to be attributed to the power generation, petroleum refineries, used and secondhand goods, natural gas distribution, scrap, and truck transportation. These industries dominated the entire supply chain structure and found to be the top drivers in all six layers. Practical implications This study decomposes the sources of the total carbon footprint of US economic supply chains into six layers and assesses the percentage contribution of each sector in each layer. Thus, it paves the way for quantifying the carbon footprint of each layer in today’s complex supply chain structure and highlights the importance of handling CO2 source in each layer separately while maintaining a holistic focus on the overall carbon footprint impacts in the big picture. In practice, one size fits all type of policy making may not be as effective as it could be expected. Originality/value This paper provides a two-dimensional viewpoint for tracing/analyzing carbon footprint across a national economy. In the first dimension, the national economic system is divided into six layers. In the second dimension, carbon footprint analysis is performed considering specific CO2 sources, including energy production, solvent, cement and minerals, agricultural burning, natural decay, and waste. Thus, this paper contributes to the state-of-art sustainability assessment by providing a comprehensive overview of CO2 sources in the US economic supply chains.

scholarly journals Managing resource dependencies in electric vehicle supply chains: a multi-tier case study

2019 ◽  
Vol 24 (2) ◽  
pp. 256-270 ◽  
Author(s):  
Dimitra Kalaitzi ◽  
Aristides Matopoulos ◽  
Ben Clegg
Keyword(s):  
Supply Chain ◽  
Electric Vehicle ◽  
Resource Dependence ◽  
Resource Dependence Theory ◽  
Production Volume ◽  
Content Type ◽  
Manufacturing Plants ◽  
Early Stages ◽  
Development Plans

Purpose The purpose of this paper is to investigate dependencies that arise between companies during the ramp-up of production volume in the electric vehicle (EV) supply chain. Design/methodology/approach An inter-company case study method has been used. Data were collected via tours of manufacturing plants, workshops and interviews from multiple tiers in a supply chain, namely, a niche EV manufacturer, as well as two of its tier-one suppliers and five of its tier-two suppliers. Findings As production volumes increased, a more relational approach was found to be necessary in inter-company relationships. The authors’ research showed that key suppliers, in addition to providing the parts, pursued a supply chain orchestrator’s role by offering direct support and guidance to the niche EV manufacturer in designing and executing its development plans. Research limitations/implications The resource dependence theory (RDT) is used to analyse and explain the changing dependencies throughout the planning and execution of production ramp-up. Practical implications This study will help supply chain managers to better manage resource dependencies during production ramp-up. Originality/value This study explores dependencies during the early stages of the production ramp-up process in the EV sector, which is in itself in the early stages of evolution. RDT is used for the first time in this context. This study has moved beyond a simple dyadic context, by providing empirical insights into the actions taken by an EV manufacturer and its suppliers, towards a multi-tier supply chain context, to better manage resource dependencies.

scholarly journals Impact of supply chain on the competitiveness of the automotive industry

2019 ◽  
Vol 54 (2) ◽  
pp. 205-225
Author(s):  
Carlos Sakuramoto ◽  
Luiz Carlos Di Serio ◽  
Alexandre de Vicente Bittar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Transaction Costs ◽  
Automotive Industry ◽  
Chain Structure ◽  
Strategic Decision ◽  
Chain Model ◽  
Horizontal Structure ◽  
Content Type ◽  
Structural Problems

Purpose There is a great reliance on fiscal incentives to sustain the automotive industry competitiveness due to several structural problems, among them the inefficiency of the supply chain. This paper aims to compare the supply chain structure of traditional automotive industry with the supply chains from South Korea and China. Based on strategic decision and transaction cost theory, this comparison seeks to exploit the factors that led to the inefficiency of automotive supply chains. Design/methodology/approach The authors used a qualitative approach and applied a multi-method research. They conducted semi-structured interviews with six executives from automakers representing the selected countries, carried individual meetings during one workshop and used secondary data from several sources. Findings Concepts identified in the research such as reliability, supply chain governance and automaker competencies led the authors to propose that the traditional automakers have higher transaction costs when compared to the new automakers due to the horizontal structure of their supply chain. While new competitors have vertical upstream supply chains, which indicates better profitability, traditional automotive industry is horizontal, depends on fewer Tier 1 suppliers and is disconnected from Tier 2, impacting negatively in the transaction costs and supply chain management. Practical implications This study suggests that automotive executives rethink the current upstream supply chain model by identifying the competencies required for their current and future competitiveness and implementing a vertical integration of these competencies. Originality/value This research exploited the inefficiency of supply chain as one of the explanations for the low competitiveness of the national automotive industry.

Organization theory in humanitarian operations: a review and suggested research agenda

2020 ◽  
Vol 10 (2) ◽  
pp. 261-284 ◽  
Author(s):  
Chandra Prakash ◽  
Maria Besiou ◽  
Parikshit Charan ◽  
Sumeet Gupta
Keyword(s):  
Supply Chain ◽  
Organization Theory ◽  
Resource Dependence ◽  
Resource Dependence Theory ◽  
Current Status ◽  
Future Application ◽  
Content Type ◽  
Humanitarian Operations ◽  
Thomson Reuters ◽  
Organizational Theories

PurposeThe purpose of this paper is to review the current application of organization theory (OT) in the humanitarian supply chain (HSC) and identify the future OT-based research opportunities that can advance knowledge of humanitarian operations.Design/methodology/approachThe study uses a systematic literature review methodology to identify the current status and future direction of the OT-based study in HSC literature. The applied theories are those that have been mentioned in at least two research articles in the HSC literature. The proposed theories are either adopted from the top four referred organizational theories in the supply chain literature or those that can explain the issue of information asymmetry in HSC.FindingsThe study identifies and describes eight organizational theories and their possible future research questions in HSC. Among these, the first four theories (i.e. resource-based theory, resource dependence theory, social exchange theory and contingency theory) have already been initially applied in the humanitarian field, while the remaining theories (i.e. institutional theory, stakeholder theory, transactional cost theory and information theory) have potential for future application.Research limitations/implicationsThe reviewed literature is limited to peer-reviewed journals listed in Thomson Reuters’ journal citation reports.Practical implicationsThis study may help future researchers better understand and solve, using organizational theory, the behavioral challenges faced by humanitarian operations.Originality/valueThe study presents current applications of and future prospects for OT-based research in HSC, effectively providing the first review of OT applications in this area. The novel framework and new theories proposed herein may enable fresh directions for HSC research.

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