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The prevalent practice of construction supply chain (CSC) in developing countries with a focus on Africa was presented in this chapter. Two African countries (South Africa and Ghana) were selected due to the extensive literature on the CSC emanating from the countries. The impediment to the effective management of the CSC in the two African countries was also examined in this chapter. It was discovered that the vital inhibition to the performance of CSC in developing countries is the adoption of culture from developed countries without a proper model for ensuring its implementation in developing countries. Also, no model has incorporated the principles and technologies of the fourth industrial revolution (4IR) to manage the CSC. The failure to adopt the 4IR technologies like block chain, big data and the internet of things has prevented the proper application of CSC practices in developing countries. CSC practices like collaboration, integration, lean supply chain, information sharing, financial management and communication are the primary practice in developing countries. Finally, this chapter called for the development of a model for managing the CSC in developing countries in alignment with the principles of the 4IR.

The opinion that the spiritual controls the physical gave rise to this chapter. The spiritual in this chapter was regarded as the philosophical and organisational theories controlling the practical aspect of construction supply chain management (CSCM). It was discovered that there is a significant omission in adopting theories to explain supply chain management's (SCM) adaptation and modelling in the construction industry. Therefore, this chapter reviews theories such as resource-based view theory (RBV), principal agency theory (PAT), resource dependency theory (RDT), transaction cost economics theory (TCE) and game theory. Each of the theories was analysed to uncover how they support the practice and variables for modelling the construction supply chain (CSC). The existing models of the CSC were also examined in this chapter. It was found that most models were developed drawing on the frameworks of the global supply chain forum (GSCF) and supply chain operations reference model (SCOR). Owing to the shortcoming of GSCF, this book adopted the framework and principles of SCOR for modelling the management of CSC in the era of the fourth industrial revolution (4IR). Also, most of the existing CSC models, such as the seamless CSCM model, maturity model and others, were developed using the SCOR framework.

This study aims to investigate the contribution of blockchain technology to supply chain risk management and its impact on performance among Indian manufacturing companies.

Drawing on a resource-based view, dynamic capability and system of systems theory, this study examines the direct relationships between blockchain, supply chain risk management and supply chain performance. The authors validate the mediating effects of three supply chain risk management components, namely supply risk management, demand risk management and cyber security management, on financial transaction reliability and information reliability. Data were collected from 204 Indian manufacturing companies that have adopted blockchain technology.

The results demonstrate that companies adopting blockchain technology have experienced positive outcomes in managing supply chain-related risks, financial transaction reliability and information reliability. These findings provide valuable guidance to managers, highlighting blockchain as a competitive advantage for supply chain management.

To the best of the authors’ knowledge, no previous research on blockchain-based risk management capabilities has been conducted.

This paper aims to investigate the firm performance of micro, small and medium enterprises (MSMEs) by using artificial intelligence-based supply chain resilience strategies. A theoretical framework shows the relationship between artificial intelligence, supply chain resilience strategy and firm performance.

A questionnaire is developed to survey the MSMEs of India. A sample size of 307 is considered for the survey. The employees working in MSMEs are targeted responses. The conceptual model developed is tested empirically.

The study found that eight hypotheses were accepted and two were rejected. There are five mediating variables in the current study. Artificial intelligence, the independent variable, positively affects all five mediators. Then, according to the survey and analysis of the final 307 responses from MSMEs, the mediating variables significantly impact the dependent variable, firm performance.

This study is limited to emerging markets only. Also this study used only cross sectional data collection methods.

This study is essential for supply chain managers and top management willing to adopt the latest technology in their organisation or firmfor a better efficient supply chain process.

This study investigated artificial intelligence-based supply chain resilience for improving firm performance in emerging countries like India. This study tried to fill the research gap in artificial intelligence and supply chain resilience.

The purpose of this paper is to investigate how three core elements of critical management studies (CMSs), “de-naturalisation”, “reflexivity” and “(non)-performative intent”, can help expand the current debate in the supply chain management (SCM) field.

The authors used a systematic literature review to select 103 articles published in 12 high-ranking journals in the SCM field based on the Academic Journal Guide of the Chartered Association of Business Schools.

The findings of this study suggest that SCM studies can be narrowed down into four major CMSs themes: “power”, “ethics and environmental issues”, “diversity” and “working conditions”, but even these themes are still under-discussed and undertheorized in SCM. The literature the authors reviewed is more concerned with explaining these phenomena than questioning them and proposing new agendas. This paper, therefore, will discuss how these three core elements of CMS can help transform the “hidden” issues of SCM, which it will do by illustrating it in the context of buyer–supplier relationships and lean manufacturing.

This research will encourage SCM scholars who are interested in conducting more critical studies and teaching the harmful effects of global supply chains.

This paper highlights that a combination of SCM and CMS approaches is important when we decide to adopt a more critical “constructive” view of supply chain challenges and engage practical and critical views, respectively, to generate knowledge that not only increases (corporate) performance but also highlights social needs and values.

The present paper aims at understanding how horizontal network collaborations between small and medium enterprises (SMEs) can be designed and implemented to take advantage of a supply chain finance (SCF) perspective.

This study presents an SCF literature background identifying four literature gaps, and in response to them it adopts an action research approach. The empirical analysis is developed on a network-case study: a horizontal collaboration project between small businesses of the Italian wine industry and their supply chains.

SMEs can play an active role in developing – in terms of design and implementation – their collaborative networks by taking advantage of an SCF perspective for themselves, and their customers, based on the reorganization of relationships interface processes. Taking this perspective can be a concrete and crucial way to sustain the development of SMEs and their supply chains in an actual competitive context.

The paper identifies the theoretical gaps in the literature, suggests new research areas that deserve to be more deeply investigated and connects case-related results to the key concepts. The empirical part presents a real case application that proposes a complete roadmap for managers and practitioners who wish to experience similar projects.

This network-case study storyline, presenting an overview of ten years of meetings, with related purposes, is suggesting a roadmap for design and implementation of horizontal network as managerial implications. These kinds of active research projects, with a collaborative mixed team of academics and practitioners, and involving a multilayer group of participants, are positive examples for closing the bridge between companies and academia, which enhance this network of small businesses active in trying to improve their competitiveness working together.

The value of the paper is to embrace a supply chain-oriented perspective for an SME, independent of the financial system and based on inventory flow management. Very little literature focuses on inventory-based research within the SCF framework, designed for real implementation in horizontal network collaboration by entrepreneurial ventures.

This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance.

Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis.

Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry.

This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse.

While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry.

Supply chains are among the most important, complex and risky systems in the modern world. Thus, managing risk is no longer an option, but a fundamental process in organizations. Given the lack of pathways that guide companies toward supply chain risk management (SCRM), the purpose of this study is to provide a conceptual reference, in the form of a maturity model, to support them in the evolution and improvement of this process.

The proposal covered a broad literature review, a survey and a multiple case study. The research was conducted in the aerospace industry and included companies from the supply chain of a leading aircraft manufacturer.

The model elaborated with the research results has eight attributes and four levels, addressing critical issues for SCRM to achieve its scope and purposes. The attributes include the structuring and scope of the SCRM process, the importance it receives within the organization, the resources used and the qualification of employees, the role of leadership and the inter-organizational collaboration.

Managing risk along supply chains is particularly challenging, demands resources and knowledge and requires a continuous effort. The proposed model offers a reference for improvement, helping to identify areas that need to be strengthened and practices to be implemented. Thus, it can guide the focus and efforts in a more efficient and systematic way, in addition to support evaluations and comparisons.

Although maturity models are abundant in different fields and several are available for risk management, models specifically developed for SCRM are scarce. This study broadens the understanding of SCRM with novel insights about how to improve this process in an evolutionary way. While many researchers focused their efforts on the SCRM process steps, this study identified critical issues that transcend these steps. The research was carried out in a sector with a long tradition in risk management and included companies belonging to a same supply chain, that is, using an approach still little explored in studies on SCRM or risk management maturity models.

This paper aims to investigate the impact of green human capital (GHC) on green supply chain management (GSCM) practices (environmental education and internal environmental management) and sustainable supply chain performance.

This study used a survey method to collect data from 350 randomly selected manufacturing firms in China, including supply chain and human resource professionals from the period of December 2021 to June 2022.

The partial least squares-structural equation modeling version 4 is applied to assess the data and test the hypotheses. Under the notion of resource-based view theory, the findings demonstrate that GHC has a positive and significant relationship with GSCM practices (environmental education and internal environmental management) and that GSCM practices are positively associated with the sustainable supply chain performance.

This study offers implications for Chinese manufacturing firms to use GHC on dimensions of GSCM implementations for achieving environmental, financial and social performance.

This study finds that GHC as a critical enabler for implementing GSCM practices, resulting in more robust and better sustainable supply chain performance (environmental, financial and social performance).

The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.

By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.

The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.

This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.