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Book part
Publication date: 7 October 2015

Md Nuruzzaman

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in…

Abstract

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Details

Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics
Type: Book
ISBN: 978-1-78441-764-2

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Article
Publication date: 5 July 2021

Kirti Nayal, Rakesh Raut, Pragati Priyadarshinee, Balkrishna Eknath Narkhede, Yigit Kazancoglu and Vaibhav Narwane

In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors…

Abstract

Purpose

In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).

Design/methodology/approach

This study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.

Findings

This study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.

Originality/value

This study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 7 December 2020

Juneho Um and Neungho Han

This study aims to theoretically hypothesise and empirically explore the relationships amongst global supply chain risks, supply chain resilience and mitigating strategies.

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Abstract

Purpose

This study aims to theoretically hypothesise and empirically explore the relationships amongst global supply chain risks, supply chain resilience and mitigating strategies.

Design/methodology/approach

The study adopts supply chain resilience as a dynamic capability and resilience capability as a mediating prerequisite in addressing supply chain risk in sourcing, manufacturing and delivery. The moderating role of diverse mitigating strategies is tested to enhance supply chain resilience. Data collected via survey was used for structural equation modelling and additional tests to explore appropriate mitigating strategies for differing risk environments.

Findings

Achieving better supply chain resilience capability plays an important mediating role between supply chain risks and resilience, while the relationships depend on the performance of seven mitigating strategies.

Research limitations/implications

The findings contribute to the theoretical development of risk management issues in global supply chains by suggesting the role of supply chain resilience capability.

Practical implications

The findings offer managerial guidance on how to mitigate the global supply chain risk through the appropriate practice of strategies to strengthen supply chain resilience in an uncertain environment.

Originality/value

This is the first empirical research examining the impact of mitigating strategies on supply chain resilience. The results provide practical implications for managing uncertain events and offering theoretical insight for future research in supply chain resilience.

Details

Supply Chain Management: An International Journal, vol. 26 no. 2
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 11 February 2021

Emilia Vann Yaroson, Liz Breen, Jiachen Hou and Julie Sowter

The purpose of this study was to advance the knowledge of pharmaceutical supply chain (PSC) resilience using complex adaptive system theory (CAS).

Abstract

Purpose

The purpose of this study was to advance the knowledge of pharmaceutical supply chain (PSC) resilience using complex adaptive system theory (CAS).

Design/methodology/approach

An exploratory research design, which adopted a qualitative approach was used to achieve the study’s research objective. Qualitative data were gathered through 23 semi-structured interviews with key supply chain actors across the PSC in the UK.

Findings

The findings demonstrate that CAS, as a theory, provides a systemic approach to understanding PSC resilience by taking into consideration the various elements (environment, PSC characteristics, vulnerabilities and resilience strategies) that make up the entire system. It also provides explanations for key findings, such as the impact of power, conflict and complexity in the PSC, which are influenced by the interactions between supply chain actors and as such increase its susceptibility to the negative impact of disruption. Furthermore, the antecedents for building resilience strategies were the outcome of the decision-making process referred to as co-evolution from a CAS perspective.

Originality/value

Based on the data collected, the study was able to reflect on the relationships, interactions and interfaces between actors in the PSC using the CAS theory, which supports the proposition that resilience strategies can be adopted by supply chain actors to enhance this service supply chain. This is a novel empirical study of resilience across multiple levels of the PSC and as such adds valuable new knowledge about the phenomenon and the use of CAS theory as a vehicle for exploration and knowledge construction in other supply chains.

Details

Supply Chain Management: An International Journal, vol. 26 no. 3
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 24 June 2020

Bruno S. Silvestre, Minelle E. Silva, Allan Cormack and Antônio Márcio Tavares Thome

This paper explores how organizational capabilities and path dependence affect the implementation of supply chain (SC) sustainability initiatives. Through the lenses of…

Abstract

Purpose

This paper explores how organizational capabilities and path dependence affect the implementation of supply chain (SC) sustainability initiatives. Through the lenses of contingency and evolutionary theory, the paper addresses the underexplored supply chain dynamics that enhance or inhibit sustainability trajectories.

Design/methodology/approach

Using in-depth multi-case studies for theory elaboration, five supply chains were studied through open-ended interviews with SC members, secondary data collection and site visit observation. The design consists of a combination of deductive and inductive approaches to elaborate theory on supply chain dynamics and enhanced sustainability trajectories.

Findings

The empirical study shows that learning is a fundamental condition for supply chains as they implement sustainability initiatives, and that exploitation capabilities are more frequently used than exploration capabilities. Path dependence plays a role in the outcomes of supply chain sustainability initiatives, which are influenced by both path dependence and contingencies of the contexts in which these systems operate.

Research limitations/implications

This paper puts forward five propositions that emerge from the literature and from the field study results. Although this is an exploratory research bounded by geographical limitations and the limited number of SC cases, the goal of elaborating theory may open up several promising avenues for future large-scale and longitudinal research studies.

Practical implications

By enhancing our understanding of the dynamics of supply chain sustainability trajectories, decision-makers, scholars and policy-makers can better understand how supply chains learn, how they employ SC member capabilities and how they deal with stakeholder resistance.

Originality/value

This paper extends supply chain sustainability theory by addressing the knowledge gap that exists with regard to understanding the dynamics of evolving supply chain sustainability trajectories. This paper sheds additional light on this important topic and contributes in multiple ways to the sustainable supply chain management literature.

Details

International Journal of Operations & Production Management, vol. 40 no. 9
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 6 July 2020

Nathalie Fabbe-Costes, Lucie Lechaptois and Martin Spring

To empirically examine the usefulness and value of supply chain mapping (SC mapping), which has been neglected despite its importance in research and practice.

Abstract

Purpose

To empirically examine the usefulness and value of supply chain mapping (SC mapping), which has been neglected despite its importance in research and practice.

Design/methodology/approach

Based on three combined theoretical perspectives, we conducted a case study on a car manufacturer's managers mapping their downstream supply chain (SC). We conducted semi-structured interviews and a mapping exercise with them, followed by a focus group.

Findings

We find differences between individual and corporate SC maps and between how managers define the outbound SC, the SC map they draw and what they say when mapping. The three theoretical perspectives allow us to enrich SC mapping thinking. We focus on boundary objects to formulate propositions. SC mapping and maps are discussed with respect to contemporary SCs and SCM.

Research limitations/implications

Based on a single case study on one firm's outbound SC. Research could be expanded to the company's external partners and follow the development and use of maps in real time.

Practical implications

Highlights the usefulness and difficulties of SC mapping, for individuals and organisations. For the company, it opens avenues for further development and use of SC mapping to improve inter-functional and inter-organisational collaboration.

Social implications

Confirms the need for SC mapping competences in SCM and consequently the usefulness of teaching SC mapping courses in logistics and SCM programs.

Originality/value

Highlights the usefulness of SC mapping and rekindles interest in SC mapping and maps in SCM. Introduces boundary objects into SCM research.

Details

International Journal of Operations & Production Management, vol. 40 no. 9
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 6 February 2017

Shradha Ashok Gawankar, Sachin Kamble and Rakesh Raut

The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures)…

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2303

Abstract

Purpose

The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM).

Design/methodology/approach

Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM.

Findings

The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM.

Research limitations/implications

This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice.

Originality/value

This research paper contributes to the literature on supply chain performance measurement.

Details

Benchmarking: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 19 January 2010

Luca Cagnazzo, Paolo Taticchi and Alessandro Brun

The purpose of this paper is to discuss which are the most important critical success factors (CSFs) to be attained for determining whether a group of companies in a supply

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4404

Abstract

Purpose

The purpose of this paper is to discuss which are the most important critical success factors (CSFs) to be attained for determining whether a group of companies in a supply chain (SC) is prepared to undergo a qualitative improvement initiative (QII). By answering four critical research questions, the paper focuses on the role of performance measurement systems (PMSs) as a CSF to support QII and discusses which PMS is more appropriate for the different SC context existing in the new economy.

Design/methodology/approach

The methodology adopted in this research relies on different approaches. In order to evaluate the readiness of a company in the SC to start a QII, the authors propose a checklist of CSFs defined through a literature review. Further, to evaluate the impact of PMSs to support QII at the SC level, the authors review PMS literature and discuss the characteristics of the various PMS available. Last, in order to select the best PMS to support the QII of companies belonging to different SC, the authors propose a classification matrix based on the SC characteristics.

Findings

The main findings of this research is the understanding of the PMS role in supporting QII at SC level.

Research limitations/implications

The research presented in this paper needs to be validated through the use of case studies, in order to optimize the methodology proposed.

Practical implications

This paper offers to academics, managers and practitioners a structured methodology to select the right PMS to support QII in specific SC contexts.

Originality/value

Few researches are available exploring the correlation between PMS and QII, especially in particular collaborative environments such as SCs. As a consequence, the methodology and findings of this paper add value to the existing body of knowledge and offer good insights for addressing future research.

Details

International Journal of Productivity and Performance Management, vol. 59 no. 2
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 12 October 2021

Vaibhav S. Narwane, Rakesh D. Raut, Vinay Surendra Yadav, Naoufel Cheikhrouhou, Balkrishna E. Narkhede and Pragati Priyadarshinee

Big data is relevant to the supply chain, as it provides analytics tools for decision-making and business intelligence. Supply Chain 4.0 and big data are necessary for…

Abstract

Purpose

Big data is relevant to the supply chain, as it provides analytics tools for decision-making and business intelligence. Supply Chain 4.0 and big data are necessary for organisations to handle volatile, dynamic and global value networks. This paper aims to investigate the mediating role of “big data analytics” between Supply Chain 4.0 business performance and nine performance factors.

Design/methodology/approach

A two-stage hybrid model of statistical analysis and artificial neural network analysis is used for analysing the data. Data gathered from 321 responses from 40 Indian manufacturing organisations are collected for the analysis.

Findings

Statistical analysis results show that performance factors of organisational and top management, sustainable procurement and sourcing, environmental, information and product delivery, operational, technical and knowledge, and collaborative planning have a significant effect on big data adoption. Furthermore, the results were given to the artificial neural network model as input and results show “information and product delivery” and “sustainable procurement and sourcing” as the two most vital predictors of big data adoption.

Research limitations/implications

This study confirms the mediating role of big data for Supply Chain 4.0 in manufacturing organisations of developing countries. This study guides to formulate management policies and organisation vision about big data analytics.

Originality/value

For the first time, the impact of big data on Supply Chain 4.0 is discussed in the context of Indian manufacturing organisations. The proposed hybrid model intends to evaluate the mediating role of big data analytics to enhance Supply Chain 4.0 business performance.

Details

Journal of Enterprise Information Management, vol. 34 no. 5
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 16 August 2021

Edward Nartey, Francis Kweku Aboagye-Otchere and Samuel Nana Yaw Simpson

The purpose of this paper is to first, determine the implications of management control system (MCS) information characteristics for controlling the COVID-19 pandemic…

Abstract

Purpose

The purpose of this paper is to first, determine the implications of management control system (MCS) information characteristics for controlling the COVID-19 pandemic through four performance indicators (quality, speed of delivery, availability and cost-effectiveness) of the public health supply chain and second, the mediating effect of four dimensions (broad scope, timeliness, integration and aggregation) of the MCS on external integration, internal integration, customer integration and operational performance of public health institutions in Ghana.

Design/methodology/approach

Using covariance-based structural equations modelling and based on contingency theory, a hypothesized model was developed and tested. The sample involves a survey of 214 public health institutions in Ghana.

Findings

Both external and internal integration were found to have a significant positive effect on MCS information and, in turn, on the supply chain operational performance of public health institutions. Also, customer integration has a significant positive impact on the four dimensions with a corresponding impact on supply chain operational performance.

Practical implications

The paper provides practitioners and policymakers with the usefulness of the contingency paradigm in enhancing the supply chain network of public health institutions during epidemics, hence, the need to adopt and develop the contingency approach in designing MCS within the public health sector. Effective public health management through a collaborative process between stakeholders (suppliers, customers and personnel) will mitigate stockouts of medical supplies and systematic disruptions in the public health supply chain.

Originality/value

The MCSs – supply chain integration interaction on organizational performance is one of the areas that has received very little attention in the literature particularly in service-oriented organizations. In this regard, this paper represents one of the few studies in Africa that examines performance implications of MCS – supply chain nexus with respect to public health emergencies service-orientec organizations. The paper contributes to the literature by providing invaluable insights into the usefulness of the MCS in enhancing the supply chain performance of public health emergencies.

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