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This research offers clarity regarding process supply chain integration through two deliverables: (1) developing six constructs (both integrative mechanisms and integrative practices for internal, customer, and supplier integration); and (2) empirically testing a theoretically grounded supply chain process model using three distinct datasets (internal, customer, and supplier integration).

The construct development procedure involved a continuous improvement cycle for identifying 1,450 items previously used to measure internal, customer, and/or supplier integration constructs; classifying the items into one of six categories; and refining the instruments based on pilot data and peer feedback. Three surveys (targeted key informants based on their specialized knowledge on internal, customer, or supplier integration) were disseminated for evaluating the measurement instruments and testing the theoretically grounded supply chain management process models, by performing the Covariance-Based Structural Equation Modeling (CB-SEM) analysis technique.

The findings revealed consistencies across all three dimensions of supply chain integration where integrative mechanisms and integrative practices are distinct constructs; integrative mechanisms make it possible for integrative practices and supply chain orientation to occur in a supply chain company; and integrative practices and supply chain orientation improve business performance.

Our study contributes to answering how process-oriented supply chain management occurs, responding to calls for research in the supply chain management discipline and advancing theory development around supply chain integration. The theoretical and managerial contributions of developing six constructs and testing three supply chain management process models relate to identifying the specific aspects of supply chain integration that improves business performance. The three tested models also reveal both direct and mediating effects of integrative practices and supply chain orientation, which contributes to the practical understanding of effective supply chain management implementation.

This study examines the direct and indirect effects of social capital on supply chain performance via supply chain quality integration (SCQI), which refers to integrating supply chain partners from the perspective of quality management. It also examines the moderating role of environmental uncertainty in the link between social capital and SCQI and determines the conditional indirect effect of social capital on supply chain performance via SCQI.

Data were collected using a time-lagged research design through a self-administered survey of supply chain professionals in manufacturing firms in Pakistan. Hayes’ PROCESS Macro was used to test the hypotheses.

The results show a positive relationship between social capital and supply chain performance. SCQI partially mediates the relationship between social capital and supply chain performance. Environmental uncertainty significantly moderates that relationship in such a way that firms that operate under high environmental uncertainty are more likely to use their social capital to develop SCQI than firms that operate under low environmental uncertainty.

The study has practical implications for managers who seek to implement SCQI practices using social capital. Leveraging social capital across the supply chain fosters strong connections and a quality-oriented approach across the supply chain, and improves overall performance. Managers can use the power of social capital to navigate environmental uncertainty.

This study’s originality lies in its drawing on the dynamic capability theory and contingency theory and integrating the dispersed scholarly work on social capital, SCQI, and supply chain performance under the boundary condition of environmental uncertainty.

The study aims to understand the influence of supplier development (SD) activities on supplier satisfaction through the lens of social capital theory (SCT) and to understand the mediating role of the buyer–supplier relationship (BSR) in improving supplier satisfaction (SS).

The research is based on survey of 110 key informants belonging to 50 medium to small supplier companies in the Indian automotive sector. We employed the PLS variance-based modelling technique for the data analysis.

The investigation resulted in a comprehensive framework for SD activities influencing SS. Further findings recognize a positive influence of SD activities such as payment terms and BSR, which are components of structural social capital on the SS. SD activities such as quality management and delivery, which are indicators of relational capital, affect SS through the mediation of BSR.

The study confirms the role of BSR in SS. The deliberations can help the managers of buyer and supplier firms and researchers to classify and strategize SD activities to improve performance and BSR to become preferred customers through SS.

Supply chains are increasingly incorporating social perspectives into their activities. It is often argued that social initiatives in supply chain management (SCM) are a response to external pressures. However, it is still undetermined whether these initiatives can improve economic performance. Additionally, it is proposed that digital transformation in supply chains, also described as Smart Supply Chain, can support social performance. Therefore, this study aims to analyze the association between digital transformation, social performance in SCM and economic performance.

The study is based on a survey of 473 companies in Brazil, a country where social needs create high pressures on companies to respond to the country’s challenges. The data collected underwent testing using ordinary least squares regression and bootstrapping techniques to examine the mediation effects between Smart Supply Chain, social performance and economic performance.

The findings indicate that digital transformation supports social performance. Additionally, adopting social initiatives helps to increase firm performance in the context of an emerging economy, while social initiatives mediate between digital transformation and firm performance.

This paper provides a new perspective on the social side of supply chains by demonstrating the close relationship between digital transformation and social engagement initiatives. It argues that aligning digital transformation strategies and technologies with social performance is crucial for companies to establish stronger connections with stakeholders.

This paper investigates the role of institutional pressures (IPs) and supply chain integration (SCI) in driving the adoption of circular economy (CE) practices. It is hypothesised that, responding to IPs, firms might adopt higher levels of SCI in the attempt to implement CE practices.

A research model is developed and tested on a cross-sectional sample of 150 multi-national enterprises (MNEs). Textual content from corporate sustainability reports is used to measure the constructs of interest through an advanced coding approach.

Findings show that IPs are driving the adoption of CE practices primarily through the mediation of SCI; the prominent roles of coercive regulatory pressures (CRPs) and normative pressures (NPs) are also highlighted. CRPs influence on CE practices is partially mediated by SCI, with NPs influence being fully mediated by it.

The study shows that SCI is a key mechanism that lies in between IPs and CE practices; as such, organisations interested in implementing CE practices need to be aware of requirements for achieving higher levels of SCI.

This empirical study is the first large scale analysis that conceptualises how MNE-driven supply chains adopt CE practices. The study empirically validates the model and identifies research avenues in supply chain management (SCM) research to support the adoption of CE practices.

The literature on knowledge management in sustainable supply chain (KMSSC) has witnessed significant growth in the past two decades. However, a scientometric review that consolidates the primary trends and clusters within this topic has been notably absent. This paper aims to scrutinize recent advancements and identify the intellectual underpinnings of KMSSC research conducted between 2002 and 2022.

The present review employs a scientometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks to examine a total of 114 articles and conference papers on KMSSC.

Emerging research frontiers and hotspots are revealed and a state-of-the-art framework of KMSSC research structure is developed.

The review provides significant implications that guide KMSSC research and better inform sustainability decisions in the supply chain context.

To the best of the authors' knowledge, this is the first review to thoroughly synthesize the intersected domain of KMSSC using scientometric analysis.

Innovation has become extremely important, especially concerning manufacturing firms, as it is known to foster robust and healthy competition. The study aims to examine the effect of innovation orientation and supply chain integration on structural flexibility and strategic business performance.

Using the quantitative approach, 315 questionnaires were distributed to manufacturing firms in three cities (Accra, Kumasi and Takoradi) in Ghana out of which 305 usable responses were retrieved. The partial least square structural equation modeling technique and the statistical package for social sciences software version 27 were used for the data analysis.

The findings showed that supply chain integration and innovation orientation have a strong beneficial association. A substantial favorable association between structural flexibility and supply chain integration was found in the study once more. What is more, the research revealed a strong positive relationship between supply chain integration and strategic business performance. Furthermore, the study found a strong relation between innovation orientation and strategic business performance.

The research paper adds to the body of knowledge by examining how supply chain integration affects the relationship between innovation orientation, structural flexibility and strategic business performance.

The purpose of this study is to explore the effect of backward supply chain information sharing (SCIS) on the performance of different parties along supply chains.

Using data collected from 617 Chinese manufacturers, this study examines the effect of information sharing from manufacturers to suppliers (ISMS) on supplier and manufacturer responsiveness in both two- and three-tier supply chains and the transferrable effect of information sharing from customers to manufacturers (ISCM) on supplier responsiveness. The authors use structural equation modeling and regression analysis to estimate the proposed relationships.

ISMS is positively related to supplier responsiveness in both two- and three-tier SCIS, whereas its effect on manufacturer responsiveness is conditional, indicating that upstream receiving parties benefit more from backward SCIS. ISCM is positively related to supplier responsiveness, demonstrating the transferable effect of backward SCIS.

When designing SCIS strategies, managers should take into account the unequal distribution of benefits from SCIS and the transferable effect of backward SCIS. Specifically, companies should always motivate their downstream partners to engage in SCIS, while they themselves need to be cautious with information sharing. They should also be aware that their information sharing behavior may benefit a third upstream party.

This study provides deep insights into the distribution of the benefits from SCIS among supply chain partners and suggests that the direction and the role supply chain partners play (as receiving or disclosing parties) in SCIS matter.

Franchising contributes significantly to national economies but is overlooked in supply chain literature. This study aims to contribute to the franchising and supply chain literature by examining how the digitisation of the franchising supply chain improves firm performance.

A single longitudinal case study approach was selected to investigate how a leading coffee brand digitised its franchising supply chain. Resource constraints theory and agency theory provide the theoretical framework. Data collection included both qualitative and quantitative data. Over two years, chronological, supply chain and thematic analyses and interpretation uncovered important findings and developed four research propositions.

Findings show that digitisation can impact performance in eight areas: Resource management, Resource constraints, Efficiency, Business-to-Business (B2B)/Business-To-Customer (B2C) links, Rapid expansion, Risk mitigation, Information asymmetries and Faster supply chain responses. Four digital technologies (advanced analytics, Internet of Things, Autonomous Mobile Robots and B2B e-shop) impacted three franchisor functions (Machine maintenance, Inventory management, Franchisee and end-customer relations). The study develops four research propositions on how digitisation impacts performance in terms of (1) resource monitoring and control, (2) learning and knowledge creation, (3) coordination and collaboration and (4) competition.

Franchising supply chains have been overlooked in the literature; this study provides insights into using resource constraints theory and agency theory complementarily to explain supply chain digitisation and provides actionable practical implications for selecting, implementing and continuously improving Industry 4.0 technologies in franchising supply chains.

We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.

We synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.

Coopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.

The configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.

This is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.