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Article
Publication date: 9 January 2017

Maryam Malakouti, Sajad Rezaei and Milad Kalantari Shahijan

The purpose of this paper is to determine agile supply chain management (ASCM) among SMEs in manufacturing-related services sector. The study propose that entrepreneurial…

1900

Abstract

Purpose

The purpose of this paper is to determine agile supply chain management (ASCM) among SMEs in manufacturing-related services sector. The study propose that entrepreneurial orientation (EO), participative management style, supplier relations, resource management, just-in-time (JIT) methodology and technology utilization (TU) are several drivers of ASCM – an effective management decision-making approach.

Design/methodology/approach

A total of 197 questionnaires were collected among SMEs to empirically test the proposed model. Structural equation modelling was employed using partial least squares approach to assess measurement and structural model for reflective and formative constructs.

Findings

The results reveal that EO, supplier relations, resource management, JIT methodology and TU positively influence ASCM while participative management style is not a predictor towards an effective ASCM. Moreover, EO was found to be a second-order formative construct comprising of innovativeness, risk taking and proactiveness, and ASCM is a first-order formative construct.

Originality/value

Prior literature regarding supply chain management (SCM) has focussed mainly on critical success factors of SCM and green SCM. Limited empirical studies have examined the influence of EO, participative management style, supplier relations, resource management, JIT methodology and TU on ASCM among SMEs in manufacturing-related services sector.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 29 no. 1
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 17 May 2018

Atul Kumar Sahu, Deepti Naval, Harendra Kumar Narang and Mridul Singh Rajput

Agile practices are important for executing business dealings proficiently in today’s scenario, as they thrust on implicating strategies for meeting quick market…

Abstract

Purpose

Agile practices are important for executing business dealings proficiently in today’s scenario, as they thrust on implicating strategies for meeting quick market requirements. These practices are noteworthy from the point of competitiveness and for fulfilling customer’s demands speedily and promptly. The purpose of this paper is to appraise agile supplier selection dilemma based on analytical hierarchy process (AHP), which accompanied grey information. The authors drafted a group of momentous agile supplier selection measures, which can be utilized by the group of industrial and manufacturing industries to measure the status of agile parameters in their partner firms. G-TOPSIS approach to handling the case of agile supplier selection problem is presented by the authors in this work.

Design/methodology/approach

The conception of AHP, grey theory and TOPSIS techniques is fused in this study, under the application arena of agile supply chain management (ASCM). The AHP principals are implicated in the first phase to define the priority importance weights of agile measures and, additionally, grey theory and TOPSIS principals are fused in the second phase to fabricate a significant agile supplier selection model.

Findings

A merged approach accompanying multiple measures is developed for aiding decision making and for modeling qualitative characteristics of agile arena under grey domain. The present work can be utilized to access the agile performance characteristics of the organization and can define the status of their partner suppliers. The technical guidelines of AHP and G-TOPSIS approach are explained in this study to be implicated in distinguish decision fields. An educational podium for dispensing the theoretical knowledge on supply chain management, ASCM and agility is presented in this study.

Originality/value

A second-level hierarchical structure is built by the authors to facilitate the managers in taking effective decision pertaining to agile measure in their organizations. The lists of qualitative characteristics are catalogued from the literature review in this study. The built model can undertake risk associated in defining the nature of agile criterions as grey concept can undertake risk associated with the system. Thus, the authors implicated G-TOPSIS approach to handling the case of agile supplier selection problem in this study. The presented hierarchical structure will capably assist the industrial and manufacturing firms to react toward random and unpredictable market requirements, along with attaining organizations goals and profits.

Details

Grey Systems: Theory and Application, vol. 8 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 29 December 2022

Atul Kumar Sahu, Sri Yogi Kottala, Harendra Kumar Narang and Mridul Singh Rajput

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of…

20

Abstract

Purpose

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.

Design/methodology/approach

DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.

Findings

The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.

Research limitations/implications

The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.

Originality/value

To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.

Details

Journal of Global Operations and Strategic Sourcing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5364

Keywords

Article
Publication date: 13 November 2017

Srikanta Routroy and Astajyoti Behera

The purpose of this paper is to review the agriculture supply chain (ASC) literature along many dimensions which include but are not restricted to scope, objective…

3338

Abstract

Purpose

The purpose of this paper is to review the agriculture supply chain (ASC) literature along many dimensions which include but are not restricted to scope, objective, wastages, driver, obstacle, outcome, etc.

Design/methodology/approach

In total, 203 relevant and scholarly articles of various researchers and practitioners during 2000-2016 were reviewed. The information related to definition, research methodology, global research spread, supply chain strategy, various types of produce, author profile and year of publication of ASC were collected and analysed.

Findings

The information related to empirical research and viewpoint of various ASC drivers were captured, studied and analysed in detail. Although inventory policy, demand forecasting and ASC integration were found to be important areas of ASC, they were less focused, studied and researched.

Research limitations/implications

Mainly post-harvest ASC of different agricultural produces were considered whereas products such as dairy, fishery and meat supply chains were not included in the study.

Originality/value

The paper provides an insight into various aspects of ASC in general and one can get a deeper and richer knowledge on it which will help in formulating effective strategies to design of an effective and efficient ASC. It uncovers the research gaps for the new future research paths. This systemic review is strongly felt to fill the gap in the ASC literature.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 7 no. 3
Type: Research Article
ISSN: 2044-0839

Keywords

Article
Publication date: 4 April 2016

Anoop Kumar Sahu, Nitin Kumar Sahu and Atul Kumar Sahu

In the rapidly changing business environment, companies must align with suppliers to streamline operations, as well as working together to achieve a level of agility…

Abstract

Purpose

In the rapidly changing business environment, companies must align with suppliers to streamline operations, as well as working together to achieve a level of agility beyond individual companies (Lin et al., 2006). Today’s more dynamic business environment increases the need for greater agility in supply chains, which increases both the importance and frequency of supplier/partner evaluation and benchmarking decision making. The purpose of this paper is to develop a multiple criterion appraisement index (model/module) for supplier/partner alternative firm benchmarking perspective under similar agile supply chain architecture.

Design/methodology/approach

In this reporting, evaluation information against subjectivity (uncertain environment) indices has been transformed mathematical dimensionless numbers by fuzzy-based computation module. A new interval-valued fuzzy number set conjunction with modified “technique for order preference by similarity to ideal solution” methodology has been explored from benchmarking (ranking order of firm under similar criterion) point of view of supplier firms.

Findings

In this context, a novel “fuzzy mathematical equation” has been developed in perceptive to compute the priority weights and appropriateness ratings of first-level measures which reduced the acquisition of supplementary priority weights and appropriateness ratings assessment in linguistic terms from group decision makers (DMs) for first-level indices. An empirical case study has been carried to ranking order the candidate partner/supplier alternative via collective index (CI) value. Lower value of “CI” reflected higher degree of performance extent. The authors found out the effectiveness and validity of proposed methodology for constructed appraisement module.

Originality/value

This research work shall be valuable for that organization which volunteer to obtain the ranking order of partner/supplier alternative (benchmark) under similar agile supply chain architecture in accordance to group DMs’ comprehensive information for select best one supplier for own firm. In this reporting, a novel fuzzy mathematical equation has been developed in order to compute the important weights as well as priority rating of first-level indices/measure which reduced the supplementary important weights and priority rating assessment from group DMs in linguistic terms in order to obtain the measures rating and weights.

Details

Benchmarking: An International Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

Open Access
Article
Publication date: 4 November 2022

Xun Li, Qun Wu, Thomas J. Goldsby and Clyde W. Holsapple

The purpose of this research is to investigate the causal mechanisms that explain the relationship between the long-term buyer–supplier relationship and buyer performance…

Abstract

Purpose

The purpose of this research is to investigate the causal mechanisms that explain the relationship between the long-term buyer–supplier relationship and buyer performance. Building on the growing body of research on social capital in supply chain management (SCM), the authors examine how a buyer achieves superior performance in forming the enduring partnership with a supplier through two different forms of supplier embeddedness: buyer–supplier dyadic embeddedness and supplier external embeddedness.

Design/methodology/approach

The bootstrapping method is utilized in data analysis to examine the mediating effects of the two different forms of supplier embeddedness simultaneously on the linkage between the duration of buyer–supplier relationships and buyer performance outcomes.

Findings

The authors find that the two forms of supplier embeddedness serve as distinct conduits for the buyer to translate the long-term buyer–supplier relationship into performance effectiveness. Notably, dyadic embeddedness only mediates the linkage between the duration of buyer–supplier relationships and buyer economic performance, while supplier external embeddedness solely mediates the linkage between the duration of buyer–supplier relationships and buyer innovation performance.

Originality/value

This study empirically demonstrates that different forms of supplier embeddedness may benefit a buyer differentially when directed at distinct performance goals. If a buyer can leverage both buyer–supplier dyadic embeddedness and supplier external embeddedness, the buyer will overcome value creation limitations of social capital from a single source, obtaining more comprehensive performance benefits sought by developing long-term buyer–supplier relationships.

Details

European Journal of Management Studies, vol. 27 no. 3
Type: Research Article
ISSN: 2183-4172

Keywords

Article
Publication date: 3 December 2019

Akbar Rahimi, Abbas Raad, Akbar Alem Tabriz and Alireza Motameni

Nowadays, the defense industry is considered a significant part of the manufacturing industries. Military products in the world have a high level of diversity, delivery…

Abstract

Purpose

Nowadays, the defense industry is considered a significant part of the manufacturing industries. Military products in the world have a high level of diversity, delivery speed and appropriative operational functionality. Therefore, various producing, high quality and high-speed delivery of military products are of great importance in enhancing Iran’s defensive power. Defense industries’ supply chain agility is a response to how to produce military products with these features. Therefore, the purpose of this paper is to provide a model for the agile supply chain of defense industries to show the relationship between agile practices and their hierarchy.

Design/methodology/approach

First, the authors identify the most important supply chain agility practices by expert’s questionnaire. Then, using factor analysis, practices are categorized and validated based on structural equation modeling (SEM). SEM showed a meaningful relationship between agile supply chain practices. Finally, using interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between these practices.

Findings

The results show that out of a total of 62 practices introduced in the previous research for the agile supply chain, 37 practices in the agility of the supply chain of defense industries are effective. The 4 new agility practices were identified in this research. These 41 practices were classified into 8 categories including supplier relationship, workshop level management, organizational structure improvement, human resource management, product designing, improve and integrate the process, application of information technology and customer relationship. Improvement of organizational structure was at the highest level of the model. Therefore, managers first should focus on it.

Research limitations/implications

Given the confidentiality of information in the defense industry, the distribution of questionnaires and their collection was one of the most important limitations. A variety of defense products in land, air and sea areas, and a large number of industries in each sector, forced the authors to select the only land area. Although the results of this research can be used in the air and sea areas, but cannot be said that the implementation of this study presented model will fully lead to the defense industries’ supply chain agility in air and sea sectors.

Originality/value

This is the first research on the supply chain agility of Iran’s defense industry that bridges the gap between theory and practice. The classification of 41 practices in the form of 8 measures and examining the relationship between them is a new and practical approach for understanding the relationships between different variables that affect supply chain agility. This study introduces four new agility practices including the use of new technology and equipment, human resource balance, the use of expert human resources, training and employee empowerment, which can be considered in many industries of developing or less developed countries. Considering the specific situation of defense industry supply chain in comparison with other industries, the results of this research can be used by other defense industries of similar countries.

Details

Journal of Modelling in Management, vol. 15 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 4 April 2016

Ghazal Bargshady, Seyed Mojib Zahraee, Mohammad Ahmadi and Ali Parto

An agile supply chain (ASC) includes companies that are operationally linked to each other, such as supply, design, manufacturing and distribution centers that respond and…

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Abstract

Purpose

An agile supply chain (ASC) includes companies that are operationally linked to each other, such as supply, design, manufacturing and distribution centers that respond and react quickly and effectively to change markets. Information systems and technology have a main role in achieving this objective. Therefore, the purpose of this paper is to examine the relationship between information integration, information infrastructure flexibility and the ASC in the Iranian power plant industry (IPPI).

Design/methodology/approach

The quantitative method was employed in this study. Survey questionnaires were sent to 87 managers in the IPPI to examine the relationship between information integration, information infrastructure flexibility, and the ASC.

Findings

The final results indicated that information sharing and responsibility were strongly related with the ASC; accessibility and connectivity had important relations with the ASC; while the relationships between compatibility and adaptableness as IT flexibility variables and ASC were positive but not significant.

Research limitations/implications

This study focussed on the impact of IT on the IPPI specifically companies that manufacture boilers, electronic control tools, turbines, turbine blades, generators and other power plant-related components.

Practical implications

A new research model was developed to assess the impact of the interrelationships among IT capabilities and the ASC and results should assist managers as well as academicians.

Originality/value

An investigation was carried out through this study based on the current situation in IPPI to empirically examine and evaluate the effect of IT integration and flexibility on ASC. Besides, a very limited number of studies have been done on the implementation of information technology in the IPPI.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

Open Access
Article
Publication date: 4 May 2022

Patrick Dallasega, Manuel Woschank, Joseph Sarkis and Korrakot Yaibuathet Tippayawong

This study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for…

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Abstract

Purpose

This study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for logistics processes has been termed Logistics 4.0. Logistics 4.0 and its elements have seen varied conceptualizations in the literature. The literature has mainly focused on conceptual and theoretical studies, which supports the notion that Logistics 4.0 is a relatively young area of research. Refinement of constructs and building consensus perspectives and definitions is necessary for practical and theoretical advances in this area.

Design/methodology/approach

Based on a detailed literature review and practitioner focus group interviews, items of Logistics 4.0 for manufacturing enterprises were further validated by using a large-scale survey with practicing experts from organizations located in Central Europe, the Northeastern United States of America and Northern Thailand. Exploratory and confirmatory factor analyses were used to define a measurement model for Logistics 4.0.

Findings

Based on 239 responses the exploratory and confirmatory factor analyses resulted in nine items and three factors for the final Logistics 4.0 measurement model. It combines “the leveraging of increased organizational capabilities” (factor 1) with “the rise of interconnection and material flow transparency” (factor 2) and “the setting up of autonomization in logistics processes” (factor 3).

Practical implications

Practitioners can use the proposed measurement model to assess their current level of maturity regarding the implementation of Logistics 4.0 practices. They can map the current state and derive appropriate implementation plans as well as benchmark against best practices across or between industries based on these metrics.

Originality/value

Logistics 4.0 is a relatively young research area, which necessitates greater development through empirical validation. To the best of the authors knowledge, an empirically validated multidimensional construct to measure Logistics 4.0 in manufacturing companies does not exist.

Details

Industrial Management & Data Systems, vol. 122 no. 5
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 7 January 2019

Masih Fadaki, Shams Rahman and Caroline Chan

The purpose of this paper is to investigate the supply chain leagility proposing all supply chains are leagile with different magnitudes of leanness and agility. A new…

Abstract

Purpose

The purpose of this paper is to investigate the supply chain leagility proposing all supply chains are leagile with different magnitudes of leanness and agility. A new index, “Deviation from Leagility” (DFL), is introduced, aiming to optimise supply chain design and investigate the relationship between supply chain leagility and firm performance.

Design/methodology/approach

The partial least squares (PLS) method was employed to analyse data collected from 299 Australian firms by administering a structured questionnaire.

Findings

The results indicate that most companies adopt the leagile supply chain rather than the lean or pure agile design. Furthermore, better business performance is achievable when deviation from a balanced supply chain in which both aspects of leanness and agility are equally embedded is minimised.

Research limitations/implications

The study is limited to a number of constraints that measure leagility; further research is needed to incorporate different aspects of agility.

Practical implications

The findings of this study could provide a guideline for supply chain executives to improve their company’s performance by designing a more balanced leagile supply chain.

Originality/value

This study is unique in its in-depth empirical investigation of modelling of leagile supply chain using a new index, and also addressing: first, the current mismatch between the well-known mutually exclusive strategies (lean/agile); and second, what has later been found when the proposed models were quantitatively tested.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 31 no. 1
Type: Research Article
ISSN: 1355-5855

Keywords

1 – 10 of 24