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The purpose of this paper is to develop a new integrated approach for the strategic logistics outsourcing process through identifying the logistics independent success factors (ISFs) and linking them with the firm’s strategic objectives and logistics requirements. Then, the new integrated approach will be used to compare the outsourcing processes for the upstream and downstream supply chain members. Studies of logistics outsourcing reveal the strategic importance of this process and the increasing need for new strategic approach.

The design is based on mixed methodology and integrated approach. The fuzzy decision-making trial and evaluation laboratory technique has contributed to the construction of interdependent relationships, development of impact-relationship maps (IRMs) and identifying ISFs. The fuzzy quality function deployment technique was used to link the strategic objectives, logistics requirements and the ISFs to evaluate and select logistics service providers (LSPs) strategically. Finally, two case studies (upstream and downstream supply chains) are used to demonstrate the new approach effectiveness and to highlight the differences/similarities between the two streams.

In addition to the new strategic logistics outsourcing approach, this study analysed the impact relationships of the LSPs’ framework factors and constructed their maps. In all, 21 ISFs have been identified: 8 logistics key performance indicators, 7 logistics services and activities and 6 logistics resources and capabilities. The two streams’ comparison relived several differences in terms of strategic objectives, logistics requirements and ISFs.

The new approach for strategic logistics outsourcing can help firms to perform a better multi-stakeholder multi-criteria strategic outsourcing process. In addition, the upstream–downstream supply chain comparison increases our understanding how different supply chain members perform different outsourcing processes.

This is one of the pioneering studies that compares the supply chain upstream–downstream perspectives to highlight logistics outsourcing similarities and differences. To the best of author’s knowledge, this is one of the first logistics outsourcing studies that identifies ISFs for strategic logistics outsourcing, provides the first IRMs for the strategic logistics factors and develops a new integrated approach for strategic logistics outsourcing

The purpose of this paper is to identify the radio frequency identification (RFID) strategic value attributes (RFIDSVAs) mechanism selections preferences and also integration of RFID tags with technology coordination tools (IRTWTCTs) alternatives ranking performance decisions in supply chain management (SCM). RFID-enabled techno-economic feasibility decisions are enhancing the SC visibility in apparel supply chains (ASCs). The RFIDSVAs mechanism selections have performed significant agility to strategic competitive advantages, namely, inventory visibility, multi-tags ownership transfer within trusted third party, etc.

Fuzzy analytical hierarchy process (FAHP) and FAHP-fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) approaches have been used to evaluate the quantitative assessment of RFIDSVA mechanisms selection decision based on weight priority orders and IRTWTCTs alternatives selection in ASC networks. The comparison of FAHP and FAHP-FTOPSIS approaches to evaluate the integrated framework develop in RFIDSVAs mechanisms and IRTWTCTs alternatives selection decisions in Indian multi-tier ASC networks.

The result found that the FAHP-FTOPSIS approaches have used to prioritizing the RFIDSVA mechanism selection weights and also identify the IRTWTCTs alternatives ranking preferences order in apparel SCM. The comparison between the FAHP and FAHP-FTOPSIS approach to quantitative assessments from RFIDSVA mechanisms and IRTWTCTs alternatives selection decisions, which enable them SC agility potential across multi-tier visibility in ASC networks. ASC stakeholders can be benefited by techno-economic feasibility decisions, RFID-enabled shop floor activities, multi-tags ownerships transfer in SCs and knowledge-based cryptography tags/items separation in SCs.

The research work has considered only five RFIDSVA mechanisms and also three integration of RFIDTWTCTs alternatives in multi-tier ASC. The strategic competitive advantages are achieved by RFID-enabled break-even tags price decisions and also techno-economic feasibility decision by contractual design multi-tier SC stakeholder’s involvements.

The pilot project study explores that the quantitative assessment decision has based on RFID-enable techno-economic feasibility in ASCs. Stakeholders can be benefited by inventory control of the financial losses, reducing the inventory inaccuracies and multi-tags ownership transfer within trusted third-party traceability in ASC networks.

This study explores the RFID-enabled apparel SC process and activities visibility (natural fibre’s fibre producer, fibre dyeing producer, yarn spinning producer, knitting and finishing producer).

This research aims to analyse the perceptions of practitioners in three regions regarding the challenges faced by their firms during the pandemic, considered a black-swan event. It examines the strategies implemented to mitigate and recover from risks, evaluates the effectiveness of these strategies and assesses the difficulties encountered in their implementation.

In the summer of 2022, an online survey was conducted among supply chain (SC) practitioners in France, Poland and the St. Louis, Missouri region of the USA. The survey aimed to understand the impact of COVID-19 on their firms and the SC strategies employed to sustain operations. These regions were selected due to their varying levels of SC development, including infrastructure, economic resources and expertise. Moreover, they exhibited different responses in safeguarding the well-being of their citizens during the pandemic.

The study reveals consistent perceptions among practitioners from the three regions regarding the impact of COVID-19 on SCs. Their actions to enhance SC resilience primarily relied on strengthening collaborative efforts within their firms and SCs, thus validating the tenets of the relational view.

COVID-19 is (hopefully) our black-swan pandemic occurrence during our lifetime. Nevertheless, the lessons learned from it can inform future SC risk management practices, particularly in dealing with rare crises. During times of crisis, leveraging existing SC structures may prove more effective and efficient than developing new ones. These findings underscore the significance of relationships in ensuring SC resilience.

Based on the emerging view of supply chains as complex adaptive systems, this paper aims to build and test an analytical model for resilience assessment surrounding supply chain risks at the level of the supply chain system and its individual tiers.

To address the purpose of this study, a multimethod research approach is adopted as follows: first, data envelopment analysis (DEA) modelling and fuzzy set theory are used to build a fuzzy network DEA model to assess risk resilience of the overall supply chains and their individual tiers; next, the proposed model is tested using a survey of 150 middle- and top-level managers representing nine industry sectors in Iran.

The survey results show a substantial variation in resilience ratings between the overall supply chains characterizing nine industry sectors in Iran and their individual tiers (upstream, downstream and organizational processes). The findings indicate that the system-wide characteristic of resilience of the overall supply chain is not necessarily indicative of the resilience of its individual tiers.

High efficiency scores of a number of tiers forming a supply chain are shown to have only a limited effect on the overall efficiency score of the resulting supply chain. Overall, our research findings confirm the necessity of adopting both the system-wide and tier-specific approach by analysts and decision makers when assessing supply chain resilience. Integrated as part of risk response and mitigation process, the information obtained through such analytical approach ensures timely identification and mitigation of major sources of risk in the supply chains.

Supply chain resilience assessment models rarely consider resilience to risks at the level of individual supply chain tiers, focusing instead on the system-wide characteristics of supply chain resilience. The proposed analytical model allows for the assessment of supply chain resilience among individual tiers for a wide range of supply chain risks categorized as upstream, downstream, organizational, network and external.

The purpose of this paper is to introduce and test a model for numerical evaluation of the effectiveness of green practices implemented in two industrial supply chains (SCs). Two real case applications were made: footwear and metal-mechanics industry.

The research method is quali-quantitative modeling. By literature review, a model based on three constructs was proposed (green strategy, green innovation, and green operations), organized in 16 categorical indicators, prioritized with analytic hierarchy process. Three practitioners of each focal companies assessed the indicators fulfilling scales (very good to very bad).

The overall performance reached 51 and 57 percent, respectively of the maximum possible. The indicators that most jeopardized the performance were complexity management and communication, barriers to green supply chain management, green products, and green market (first case) and innovation in processes, and green market (second case).

The model cannot be generalized or extended to other SCs. Further refinement and testing are required.

Managers and practitioners can improve the eco-efficiency of SC, focusing on the green practices that should be prioritized in greening strategies for the entire chain.

Improvement of eco-efficiency is positively correlated with corporate social responsibility.

The model can produce a numerical overall value that represents the level or degree of implementation of green practices in the context of a SC management.

Since 2008’s financial crisis, attention toward supply chain finance (SCF) has increased. However, most research investigates SCF considering single supply chain (SC) stages or buyer–supplier dyads and focuses on a single SCF solution. It is important to see how different solutions are adopted at different SC stages, by actors with different financing needs. This study aims to analyze SCF at different SC stages, to understand why different solutions are implemented at different SC stages and the contingency factors (regulation, SC stage, product category and size) influencing their adoption.

The paper is based on multiple exploratory case studies in the Italian agri-food industry, considering firms distributed at different SC stages and adopting multiple SCF solutions. The paper exploits a contingent approach (Sousa and Voss, 2008) to analyze how contingent factors influence SCF adoption at different SC stages.

Findings explain how and why different SC stages (producer, cooperative, processor and retailer) implement different SCF solutions (reverse factoring, dynamic discounting, inventory finance and Minibond), describing contingency variables’ impact on their adoption.

To the best of the authors’ knowledge, the research is original in its description of SCF at different SC stages, considering different SC actors’ drivers and barriers, and questioning the importance of a coordinated approach in SCF adoption along an entire SC. Moreover, the paper adopts a contingent approach, contributing to SCF research, seldomly based on theoretical lenses.

Companies today observe an increase in the complexity and vulnerability of their supply chains (SCs) as a result of global scale networks and a turbulent environment. The purpose of this paper is to explore knowledge management (KM) as a potential way of reducing SC vulnerability and answer the following question: how does inter-organisational KM influence efforts to reduce SC vulnerability?

Drawing on the resource-based view and the knowledge-based view (KBV), a single case study in the energy industry is conducted by collecting various data through interviews, observations and internal documents.

This edifying case study indicates that a lack of KM hinders any attempt to mitigate SC vulnerability.

This research shows several limitations such as data privacy, generalisation and the decision to study an atypical SC.

The paper points out in a dedicated section the key actions a company should take in order to develop the required characteristics of knowledge expressed in the KBV.

This is the first qualitative research that investigates the relationships between SC vulnerability and KM, and more particularly in a recycling context where a strong research gap exists.

The purpose of this paper is to address an important question which centres on investigating how do manufacturing businesses perceive and understand the concepts of agility and flexibility in their supply chains (SCs).

A case study approach was utilised and data were gathered from semi-structured interviews with ten organisations in the Australian manufacturing sector. Data analysis was conducted using analytic techniques based on, for example, pattern matching and cross-case synthesis.

Findings confirmed that there is some ambiguity concerning the understanding of the terms agile and flexible, both within and between organisations. The implications are that there is often little consistency in the way the terms are operationalised and then applied. In this regard, and to inform future research, the paper offers empirically grounded definitions for SC agility and flexibility. Moreover, four propositions are developed and discussed which shed light on the dynamics of agility and flexibility in the SC.

This is one of the first empirical studies to address some of the apparent inconsistencies between organisational applications of agility and flexibility, and their impact on SC operations.

Nowadays, supply chain integration (SCI) is considered as an enabler of competitive firm performance. It has three important dimensions: internal, supplier and customer integration. Understanding the interaction between these dimensions and organisational strategy would pave the way for effective implementation of SCI. The famous Miles et al. (1978) strategy typology classifies firms into four strategy types: defenders, prospectors, analysers and reactors. The purpose of this paper is to explore the impact of the core company’s product-market innovation strategy on the dimensions of SCI, and to investigate the comparative strength of each dimension of SCI in defenders and prospectors.

Primary data were collected through an online survey of 112 firms in 24 countries across Africa, Asia, Europe and North America. Direct and mediated relationships were assessed by conducting structural equation modelling on the dimensions of SCI and product-market innovation strategy variables. Cluster analysis was conducted on organisational strategy variables to group the firms into different strategy types. Next, a one-way analysis of variance was applied to assess the impact of organisational strategy on each dimension of the SCI. Finally, a post hoc analysis was conducted to compare the strength of each dimension of the SCI against the different strategy types.

The results indicate that internal integration (II) mediates the positive effects of the core company’s product-market innovation strategy on supplier and customer integration. Furthermore, the results indicate that prospectors have stronger internal, supplier and customer integration as compared to defenders.

This study had two main limitations. One limitation is the lack of consideration of possible differences in the strengths of the investigated relationships across different geographical locations and cultures. The second limitation is the inability of the cross-sectional research design to capture the dynamics in the process of adopting SCI and organisational strategy.

The present study highlights to executives the need for understanding the implications of specific strategies on the SC linkages and relationships that are required to implement those strategies. Thus, it could serve as a preliminary clue in decision-making for establishing integrated SC that is compatible with the organisational strategy. Furthermore, it could serve as a guidance to managers in steering their firms in the organisational adaptive cycle, by indicating that the implementation of product-market innovation strategy requires adopting strong SCI, and by highlighting the importance of adopting II prior to external integration.

This paper tests relationships that explain how the core company’s strategy influences each dimension of SCI.

In today's globalized business environment, growing supply chain complexity (SCC) is arguably a major threat to the firm's business continuity with an adverse impact on the firm's competitive advantage and business performance. Researchers, though, investigated the impact of SCC drivers on a firm's operational performance, but the key question “Which supply chain complexity drivers severely impact the supply chain performance (SCP)?” remains largely unanswered from empirical research. The present study aims to decompose the SCC into four major constituting sub-categories (upstream, operational, downstream and external) to explore the causal impact of SCC drivers on SCP in direct and mediated manner.

The indicators applied for measuring constructs in the “Measurement model” are obtained from existing literature to increase the validity and reliability of the model. First, a pilot survey involving 25 SC managers from various manufacturing firms was conducted for indicator refinement and content validation. Second, the large-scale response data were collected through extensive surveys. This research explores the causality by testing the hypothesis applying Structural Equation Modeling (SEM) based on the responses received from 246 firms.

The study investigates the impact of SCC drivers on SCP through direct and mediation effect. The results indicate that upstream and operational SCC drivers play a mediating role in managing SCP. The findings reveal that upstream and operational SCC drivers adversely impact the SCP. Furthermore, the impact of downstream complexity on SCP is moderated through operational complexity drivers. The result explains the theoretical relation among SCC drivers supported by empirical validity.

The outcome offers practical relevance to supply chain (SC) managers in SCC and SCP management. Knowing the effect of SCC drivers among themselves and on SCP will facilitate the SC managers in devising the right strategies. The study provides a framework for prioritizing the resource in addressing the SCC issues among many.

The study addresses the apparent gap in the literature by modeling the impact of SCC drivers on SCP, which remained largely unexplored. First, it contributes to developing complex relationships among SCC drivers. Second, the direct and mediated causal effect of the SCC drivers individually and combinedly on SCP are explicated.