Efficiency meets accountability: Performance implications of supply chain configuration, control, and capabilities

As technology in supply chain advanced, a large amount of big data has been generated and companies employ big data can gain competitive advantages through their supply chain capabilities. However, companies are lack of knowledge regarding big data and its management methods in the early phase of big data adoption. The objectives of this research are to identify the relationship of big data-driven supply chain towards supply chain capabilities and the relationship of supply chain capabilities towards competitive advantages. This research surveys the managers of manufacturing companies in Selangor. By using convenience sampling techniques, 162 online questionnaires were distributed. A total of 123 questionnaires were collected. The 5-point likert scale is adopted to evaluate the agreement level and descriptive analysis employed in the research. This research also uses the quantitative method to collect and analyse the data. IBM Statistical Package for Social Sciences (SPSS) software is adopted to analyse the data. The findings indicated that big data-driven supply chain have a positive and significant relationship with supply chain capabilities. Moreover, supply chain capabilities also have a positive and significant relationship with competitive advantages. All hypotheses in this research are significant and accepted. Therefore, manufacturing companies can find the best methods to facilitate competitive advantages by using big data-driven supply chain capabilities.

In the current highly uncertain external environment for businesses, maintaining a single competitive advantage in the supply chain is difficult in the long run. There is an urgent need to acquire a more comprehensive and sustainable competitive advantage, and the thriving digitalization is reshaping the industry structure and competitive dynamics. This study, based on data from 255 survey responses, employs a structural equation model to examine the relationships among environmental uncertainty, digital transformation, supply chain capabilities, and sustainable competitive performance in the supply chain context. Our findings reveal the significant role of digital transformation in enhancing supply chain capabilities, which in turn positively influence sustainable competitive performance. A further analysis shows that supply chain capabilities mediate the relationship between supply chain digital transformation and sustainable competitive performance. Moreover, environmental uncertainty can serve as a driving force for digital transformation, stimulating supply chains to enhance their exploration of digitalization. This research provides valuable insights into exploring sustainable competitive performance in the supply chain context. It addresses the gap in empirical literature regarding digital transformation research and enriches the field of the contingency theory.

Purpose The study examined a wide range of proactive supply chain practices to demonstrate a cross-linkage among them and to understand their effects on both practitioners of previous decision-making models, frameworks, strategies and policies. Here, six supply chain practices are empirically evaluated based on 28 constructs to investigate a comprehensive model and confirm the connections for achieving performance and competence. The study presents a conceptual model and examines the influence of many crucial factors, i.e. supply chain collaboration, knowledge, information sharing, green human resources (GHR) management and lean-green (LG) practices on supply chain performance. Design/methodology/approach Structural equation modeling (SEM) examines the conceptual model and allied relationship. A sample of 175 respondents' data was collected to test the hypothesized relations. A resource based view (RBV) was adopted, and the questionnaires-based survey was conducted on the Indian supply chain professionals to explore the effect of LG and green human resource management (GHRM) practices on supply chain performance. Findings The study presented five constructs for supply chain capabilities (SCCA), five constructs for supply chain collaboration and integration (SCIN), four constructs for supply chain knowledge and information sharing (SCKI), five constructs for GHR, five constructs for LG practices (LGPR) and four constructs for lean-green SCM (LG-SCM) firm performance to be utilized for validation by the specific industry, company size and operational boundaries for attaining sustainability. The outcome emphasizes that SCCA positively influence GHRM, LG practices and LG supply chain firm performance. However, LG practices do not influence LG-SCM firm performance, particularly in India. Originality/value The study exploited multiple practices in a conceptual model to provide a widespread understanding of decision-making to assist in developing a holistic approach based on different practices for attaining organizational sustainability. The study stimulates the cross-pollination of ideas between many supply chain practices to better understand SCCA, SCIN, SCKI, GHRM and LG-SCM under a single roof for retaining organization performance.

Inspired by multiple benefits, including competitive advantages from developing resilient supply chains, this study was designed for the development of effective assessment models to evaluate Supply Chain Capabilities (SCC), improving resilience in Industrialised Construction (IC) in one of the high-density cities: Hong Kong (HK). First identifying appropriate SCC, this study aimed to develop multi-stage-mathematical models to evaluate the adoption of SCC of IC in HK. Experts’ judgements were solicited and analysed using fuzzy synthetic evaluation. Forty-one measurement items were grouped under nine critical SCC components, and their ‘importance’ and ‘current practice’ indices were determined. The importance index of SCC is high, spotlighting the significance of the contribution of SCC to resilience whereas the current practice index is comparatively low, highlighting the dire need to bridge this gap with capability improvements. To the authors' knowledge, these evaluation models are the first set of structured models designed to assess SCC of IC, providing valuable insights to practitioners for well-informed decision-making in formulating strategies to initiate and nurture resilient supply chains in IC in HK.

Thailand is one of the largest producers and exporters of agricultural and food products, and the food industry is also an important major section for Thailand's economy. While the food industry can generate a high income for the country, its supply chain still contains some problems among different parties. There are a lot of factors that could affect the performance of the food industry's chain. It is difficult to choose one success factor to be improved since improving one factor could lead to a positive or even a negative impact on another factor. The purpose of this study is to explore the degree of relationships between supply chain capabilities and competitive advantages towards business performance. The data were drawn from 236 food manufacturing companies in Thailand and the measurement scales were tested and validated using structural equation modelling (SEM). The findings provide appropriate supply chain strategies for successful linkage implementation so that management will be able to pursue better supply chain strategic applications directly in their business environment. The proposed model will also provide the causal-effect determinants affecting supply chain performance, to enhance supply chain strategies to meet supply chain goals, and to guide decision makers with pertinent information to implement such strategies.

Agriculture, food and global value chains: issues, methods and challenges

Present study explore common supply chain management practices (SCMPs) and investigate how these practices facilitate the development of supply chain capabilities. The study adopts an exploratory case study approach with the content analysis of the data collected through semi-structured interviews, followed by site visits to 14 Australian manufacturing firms. The findings show six common SCMPs in the case study firms. Findings also demonstrate how these practices promote and further develop inter-organisational and intra-organisational integration, coordination for increased responsiveness and delivering valued services to customers in supply chain. The practices explored can be used as a supply chain framework for the manufacturing industry which can provide an effective tool for developing increased responsiveness in the supply chain through capabilities of integration, coordination and valued services delivery. Moreover, this study for the first time explores how supply chain capabilities emerge from SCMPs and how do both differ.

This study mainly investigates of relationships among the supply chain collaboration in value innovation, supply chain capabilities, and firm performance.The present study collects 374 of Taiwan TFT LCD Industry(up stream,middle stream,down stream) With literature review,this study proposes a theoretical research framework,and tests by some hypotheses. By empirical survey,this study gets 374 valid responses and analysis with structural equation modeling (SEM). The research results indicate that supply chain capabilities serves as a partial mediator between supply chain collaboration in value innovation and firm performance. The other findings specify the supply chain multi-echelon moderating effect in supply chain collaboration in value innovation, supply chain capabilities,and firm performance。

Supply chain management, is the active management of supply chain activities to maximise customer value and achieve sustainable competitive advantage. It represents a conscious effort by the supply chain firms to develop and run supply chains in the most effective and efficient ways possible. Supply chain activities cover everything from product development, sourcing, production, and logistics, as well as the information systems needed to coordinate these activities. Currently, supply chain management has evolved into a complex system where there is a need for redesign and integration into the corporate strategy for strategic fit. The study focuses on: • establishing and analysing corporate strategies used by select FMCGs in KZN South Africa; • examining the challenges impacting on achieving competitive advantage; and • determining performance measures for ensuring consistency between customer satisfaction and the supply chain capabilities (strategic fit). The study followed an exploratory case study design and employed a descriptive, evaluative quantitative analysis method. The results showed that across supply chain companies, the ultimate goal of integration has still to be achieved. There is a lack of trust and companies operate in separate silos. A major recommendation is that supply companies should revisit their supply chain designs to synchronise with intra-intercompany integration built on achieving competitiveness and sustainable profitability through incremental continuous improvement and customer satisfaction. The study concluded that it is imperative that all the elements of McKinsey’s 7- s resource capability model stay interconnected as a web to ensure the successful implementation of integration for strategic fit and superior business performance

Knowledge-based framework for automated dynamic supply chain configuration

Global supply chains face increasing disruptions from cyber threats, geopolitical instability, extreme weather events, and a range of economic, social, and environmental sustainability challenges. As these disruptions intensify, enhancing Supply Chain Resilience (SCR) has become a strategic priority. This study investigates how Distributed Ledger Technology (DLT) can contribute to SCR by mitigating vulnerabilities and strengthening key capabilities within global supply chains. A qualitative research approach is employed, utilizing expert evaluations to examine DLT’s impact on supply chain vulnerabilities and capabilities. Five workshops were conducted with 25 industry professionals from logistics, IT, procurement, and risk management. Experts examined how DLT could address disruptions stemming from supplier instability, poor traceability, and regulatory and environmental pressures, while highlighting its potential to drive ethical sourcing and environmentally responsible practices. The structured discussions were guided by theoretical frameworks and expert evaluations were synthesized into two analytical matrices illustrating DLT’s influence on SCR. The findings reveal that the contribution of DLT to SCR and sustainability is highly context-dependent, with its effectiveness hinging on how it is embedded within governance structures and aligned with the interplay of complementary technologies. Building on these insights, the study presents the DLT-LFL (Distributed Ledger Technology–Learning Feedback Loop) framework, which integrates sensing, decision-making, adaptation, and predictive learning from distributed operational data, allowing supply chains to better anticipate disruptions, adjust processes dynamically, and continuously strengthen resilience and sustainable practices. The study also develops a practical checklist to assess how effective DLT applications and their integration with predictive and AI-driven analytics reduce vulnerabilities, strengthen capabilities, mitigate risks, and support adaptive decision-making.

This study aims to analyze the impact of capabilities, visibility, and supply chain resilience on supply chain performance and company performance, with the moderating variables of the number of employees and company age. The subjects of this study are directors, managers, supervisors, or staff/operators from various industrial companies in Indonesia. The research sample consists of 140 respondents, selected using a non-probability sampling technique with purposive sampling. Data collection was conducted using questionnaires distributed via Google Forms and measured with a five-point Likert scale. For data processing, this study employs Structural Equation Model (SEM) Partial Least Square (PLS) analysis using the SMART-PLS version 3 software. The results of this study are as follows: supply chain capabilities and visibility have a significant impact on supply chain resilience, supply chain performance, and company performance, with supply chain resilience serving as a mediating variable. Additionally, supply chain performance significantly affects company performance. Company age does not moderate the relationship between capabilities and supply chain resilience. Similarly, the number of employees does not moderate the impact of supply chain capabilities on supply chain resilience

Purpose: The purpose of this study is to investigate how supply chain digital transformation (DT) affects firm performance, specifically with regard to industrial manufacturing companies in developing nations. Design/Methodology/Approach: A mixed research approach was adopted. Qualitative methods helped develop the theoretical model and measurement scales. Quantitative data were collected through surveys distributed to 166 industrial manufacturing companies in Hanoi. The final dataset consisted of 159 valid responses. The assumptions were tested using structural equation modeling (SEM) with SPSS 25.0 and AMOS 24.0. Findings: The results show that digital transformation enhances information exchange, coordination and responsiveness within supply chain. However, it does not directly improve firm performance. Coordination and responsiveness are two supply chain characteristics that have a good influence on firm performance, while information exchange has a negligible effect. Additionally, coordination plays a mediating role between digital transformation and firm performance, but the mediating role of information exchange is not supported. Research limitations/Implications: The research is geographically limited to Hanoi and may not represent all industrial firms in Vietnam. Future research should expand the dataset across regions and industries. Originality/value: This research fills a gap in the literature on digital supply chain transformation in developing economies. It also provides empirical evidence on how supply chain capabilities mediate the DT-firm performance relationship. Keywords: Digital Transformation, Supply Chain Capability, Firm Performance, Information Exchange, Coordination, Responsiveness

Supply chain leadership driven strategic resilience capabilities management: A leader-member exchange perspective

The goal of this paper is twofold: to comparatively analyze the social performance of global and local berry supply chains and to explore the ways in which the social dimension is embedded in the overall performance of food supply chains. To achieve this goal, the social performance of five global and local food supply chains in two countries are analyzed: wild blueberry supply chains in Latvia and cultivated raspberry supply chains in Serbia. The study addresses two research questions: (1) What is the social performance of the local and global supply chains? (2) How can references to context help improve understanding of the social dimension and social performance of food supply chains? To answer these questions, two interlinked thematic sets of indicators (attributes) are used—one describing labor relations and the other describing power relations. These lists are then contextualized by examining the micro-stories of the actors involved in these supply chains. An analysis of the chosen attributes reveals that global chains perform better than local chains. However, a context-sensitive analysis from the perspective of embedded markets and communities suggests that the social performance of food chains is highly context-dependent, relational, and affected by actors’ abilities to negotiate values, norms, and the rules embedded within these chains, both global and local. The results illustrate that the empowerment of the chains’ weakest actors can lead to a redefining of the meanings that performance assessments rely on.