Context Of Supply Chain Management Research Articles

Risk management and HR practices in supply chains: Preparing for the future

This study explores the strategic integration of risk management and Human Resources (HR) practices within the context of supply chain management, aiming to identify how such integration enhances organizational resilience and sustainability. Employing a systematic literature review and content analysis, the study examines scholarly articles from key databases, focusing on the period from January 2000 to the present. The methodology involves a comprehensive search strategy, stringent inclusion and exclusion criteria, and a detailed selection process to distill insights from relevant literature. Key findings reveal that strategic HR practices, such as talent management, leadership development, and fostering a risk-aware culture, significantly contribute to mitigating supply chain risks and bolstering resilience. Furthermore, the study highlights the pivotal role of technological advancements, including artificial intelligence, blockchain, and the Internet of Things, in supporting the dynamic integration of risk management and HR practices. This integration not only addresses operational efficiencies but also aligns with strategic objectives towards sustainability and adaptability in the face of global disruptions. The study concludes that the strategic importance of integrating risk management with HR practices cannot be overstated, emphasizing its necessity for building agile, resilient, and sustainable supply chains. As organizations navigate the complexities of modern supply chains, this integrated approach offers a pathway to not only survive but thrive amid uncertainties, underscoring a blueprint for sustainable competitive advantage in evolving global markets. This review contributes to the existing body of knowledge by providing a comprehensive overview of current practices and future directions for integrating risk management and HR practices in supply chain management.

A Preliminary Study of Role and Challenges of IOT in Supply Chain Management

Abstract: This paper delves into research on the Internet of Things (IoT) within the context of supply chain management (SCM). It comprehensively addresses the definition of IoT, key technology enablers, various SCM processes, and applications. The Internet of Things has the potential to address limitations in certain aspects of SCM, such as monitoring, production management, logistics operations efficiency, information exchange and communication, supply chain modeling, intelligent information collection, and security. The advent of IoT technology has ushered in a new era in logistics. The paper examines the current application areas and future prospects of this technology. Challenges encountered in implementation underscore the need for further refinement of IoT technology. Despite these obstacles, experts contend that the crux lies not in issues of costs, standards, and techniques, but in the establishment of a viable business model in the SCM and logistics industries.

Assessing the Impact of Inventory Turnover on Quality Control: A Study of Manufacturing Firms in South-West Nigeria within the Context of Supply Chain Management

Assessing the Impact of Inventory Turnover on Quality Control: A Study of Manufacturing Firms in South-West Nigeria within the Context of Supply Chain Management

Impact of Airline Service Quality and Safety Perception on Airline Brand Loyalty: Mediating Role of Passenger Expectation

This research aims to examine the influence of airline service quality and safety perception on brand loyalty. Furthermore, passenger anticipation employed as mediating variable for in-depth research. In order to achieve the goal of this research, data were gathered from a sample of 384 customers who use airline services. The convenient sampling approach was employed for data collection. The findings from the structural equation modelling revealed that brand loyalty has a considerable impact on the evaluation of airline services quality and safety perception. Additionally, the study identified the important mediating function of passenger expectation. This research assists the authorities and managers in the airline sector in formulating effective and efficient strategies to meet customer demand and cultivate brand loyalty.

Theorizing across boundaries: How to conduct a ‘breakout’ literature review

AbstractBest practice advice for literature reviews abounds, yet little advice is available for how to infuse a literature review with theory‐generative insights that break out of knowledge silos. To address this issue, we provide guidance on reviewing a range of literature for theory‐generative insights through a process of knowledge transfers from a source domain onto a target domain. To do so, mainly building on work concerned with analogical reasoning, we put forward a ‘breakout’ review model, which consists of three iterative stages. While we illustrate the process model in a supply chain management context, we aim to assist any organizational scholar interested in exploring cross‐disciplinary literature for new ways of thinking.

Logistics Performance And Other Factors As Antecedents Of The Sustainability Performance Of G-20 Countries

Logistics directly affects the growth and development of a nation, making it a vital component of economic development (Hofman, 2017). Numerous studies have established a direct link between a country's economic progress and its logistics performance. This relationship encompasses various dimensions, including economic, developmental, environmental, and social aspects. Within the context of sustainable supply chain management, the environmental and social aspects are often highlighted (Seuring and Muller, 2008; World Bank, 2007, 2018; United Nations, 2010; OECD, 2011; World Economic Forum, 2015).The logistics industry has a significant impact on environmental and social issues and consumes a substantial amount of energy resources, leading to high carbon emissions (Rashidi and Cullinane, 2019). Thus, efforts to reduce carbon emissions are crucial. Initiatives such as developing adequate infrastructure like highways to reduce travel time and waiting times at ports for container unloading are essential. Elevating the competency and quality of logistics services also plays a role in improvement, as logistics professionals contribute not only to material movement but also support marketing functions, product development, pricing, and customer service. In Indonesia, a G-20 member, the logistics sector contributes significantly to the country's Gross Domestic Product (GDP). However, challenges related to infrastructure and environmental impact need to be addressed. In this regard, the Logistics Performance Index (LPI) published by the World Bank serves as a valuable tool to assess logistics performance and promote sustainability. Within the context of sustainability performance, this research aims to analyze the influence of Logistics Performance and other factors on sustainability performance in G-20 countries, with a focus on Indonesia. LPI data and other relevant indicators are employed to identify the effects of these variables on sustainability performance. The study is expected to offer insights for practitioners and organizations to take steps towards improved sustainability performance while also contributing theoretically to the field.

A Smarter Way to Procure: Exploring the Use of Smart Contracts

Purpose:This article delves into the transformative potential of smart contracts in revolutionizing procurement within supply chain management, with a special focus on the healthcare industry. In line with the challenges posed by complex procurement processes, the study explores how self-executing digital contracts can enhance efficiency, security, and transparency. Theoretical framework:The article is grounded in the concept of smart contracts and their applications in procurement, serving as a bridge between emerging technology and supply chain management innovation. It draws upon an extensive body of literature and research related to smart contracts, supply chain management, and technology adoption. The study is designed to build upon this theoretical foundation, using two comprehensive case studies to provide real-world insights and practical applications. These case studies, situated within the healthcare industry, serve as tangible examples of how the theoretical concepts surrounding smart contracts manifest in actual procurement processes. Design/methodology/approach:To investigate the application of smart contracts in healthcare procurement, we employed a qualitative research approach. This encompassed an extensive literature review of academic papers, industry reports, and relevant articles, uncovering the unique advantages and challenges in procurement & supply chain management. Building upon these findings, we developed a groundbreaking smart contract-based procurement system, presented through sequence diagrams. To validate our solution, we implemented and rigorously tested it within a real-world Ethereum environment. Findings:Our research reveals that integrating smart contracts into procurement processes results in streamlined operations, diminished reliance on intermediaries, and heightened transparency and traceability. Moreover, the proposed solution showcases significant potential for enhancing procurement efficiency in the healthcare sector. Research, Practical & Social Implications: These findings present valuable insights with far-reaching implications and hold substantial implications for stakeholders. Healthcare organizations can harness smart contracts to optimize their procurement procedures, yielding improved efficiency, transparency, and security. In a rapidly digitalizing landscape, our research empowers companies to maintain their competitive edge while delivering enhanced value to partners and customers. Originality/value:This article contributes significantly to the existing literature by offering a comprehensive examination of smart contract integration within procurement function, set within the broader context of supply chain management. It introduces a pioneering solution and provides a validated methodology, paving the way for in-depth exploration of smart contracts' impact on diverse stakeholders across healthcare supply chains

Analyzing Sustainable Practices in Fashion Supply Chain

Fast fashion brands create high quantities of synthetic, petroleum-based garments that result in high levels of textile waste and emissions. To change the dreadful tag of hazardous production, top-notch fast fashion leaders started paying attention towards adopting sustainable practices, including sustainable supply chain management (SSCM).This paper conducts a structured review of the annual reports on the topic of energy efficiency and environmental sustainability practices adopted by fashion brands in the supply chain management context. This study tries to identify the factors and classification influencing energy efficiency and environmental sustainability initiatives that impact supply chain performance, the customer perspective and the different technologies supporting energy efficiency and sustainable practices based on the analysis of the data related to the sustainability of top fashion brands from their past five year annual reports.

Big data optimisation and management in supply chain management: a systematic literature review

The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development. This paper proposes a systematic literature review to explore the available peer-reviewed literature on how big data is widely optimised and managed within the supply chain management context. Although big data applications in supply chain management appear to be often studied and reported in the literature, different angles of big data optimisation and management technologies in the supply chain are not clearly identified. This paper adopts the explanatory literature review involving bibliometric analysis as the primary research method to answer two research questions, namely: (1) How to optimise big data in supply chain management? and (2) What tools are most used to manage big data in supply chain management? A total of thirty-seven related papers are reviewed to answer the two research questions using the content analysis method. The paper also reveals some research gaps that lead to prospective future research directions.

MODELING STRATEGIC PLANNING FOR SUSTAINABLE COMPETITIVE ADVANTAGE IN SUPPLY CHAIN MANAGEMENT

This paper proposes a knowledge-based customer-centric strategic model to respond to environmental challenges and achieve sustainable competitive advantage (SCA) in the supply chain management (SCM) context. The proposed model strives to leverage knowledge-based distinctive core competencies (DCCs) to improve customer satisfaction and achieve SCA. An exploratory research design has been adopted. The study undertook a systematic literature review approach with 36 articles or books published between 1970 and 2020 to construct the strategic planning model. The paper presents an integrated multi-dimensional model for SCM, including value chain activities, competitiveness strategies, business process re-engineering (BPR), and SCA. The practical result of the article is to develop a theoretical strategic planning model for SCM as a holistic framework for using the company’s DCCs and creating an SCA in a highly competitive and dynamic business environment. The proposed model comprehensively covers the supply chain (SC)’s competitive advantage strategy. For businesses that tend to adapt and triumph, the proposed model helps reduce order cycle times, reduce inventory levels, increase accuracy and efficiency, reduce costs, and improve customer service and satisfaction.

Exploring the potential of blockchain-enabled lean automation in supply chain management: a systematic literature review, classification taxonomy, and future research agenda

The purpose of this study is to evaluate how Blockchain Technology (BCT) can support the implementation of Lean Automation. We conducted a systematic literature review to understand how BCT is being implemented in the supply chain management (SCM) domain and to evaluate how this technology can be used to reduce inefficiencies in supply chains. Firstly, we developed a holistic taxonomy of wastes to identify the most common non-value activities. Then, both inductive and deductive content analyses were performed, the latter being coded using the taxonomy. Our findings identified the most common BCT-based application themes in SCM and ways that this technology can be used to support future implementation of Blockchain-enabled Lean Automation (B-eLA). Additionally, we proposed a future research agenda. The study provides important contributions at the intersection between BCT, lean production, and Industry 4.0 within the context of SCM and seeks to exploit BCT’s potential to improve businesses’ efficiency, effectiveness and productivity.

Potential effects of smart innovative solutions for supply chain performance

The study aimed at exploring the impact of three smart innovative solutions, i.e., Internet-of-Things, Big Data Analytics, and Cloud Computing on supply chain performance. Collecting data by questionnaires administered to a sample consists of supply chain managers of industrial firms. The results pointed out that these three smart solutions significantly and positively lift firms’ supply chain performance. That is, the hypotheses that Internet-of-Things, Big Data Analytics, and Cloud Computing have significant impacts on supply chain performance were supported. Therefore, the study concluded that for industrial firms to improve supply chain performance, such smart solutions should be assessed and applied. The study contributes to both academics and practitioners through providing empirical results on concurrent impacts of three advanced technologies in supply chain management context.

Stakeholder roles in sustainable supply chain management: a literature review

Since ecological deterioration and social discrepancy are intensifying, multiple stakeholders are driving companies to incorporate sustainability in their supply chains. Thus, integrating non-traditional supply chain stakeholders, such as non-governmental organizations and competitors, in supply chain practices is essential for achieving a more sustainable supply chain. Hence, this research aims to show how stakeholders and their roles are related to sustainable supply chain management practices. A systematic literature review including 78 peer-reviewed English journal articles published between 2000 and 2020 was conducted. The results suggest that multiple supply chain external and internal stakeholders drive, facilitate, or inspect the implementation of sustainable supply chain management practices. While governmental and non-governmental organizations are key drivers for implementing sustainable supply chain management practices, they can also support their implementation. Moreover, proactive engagement with external supply chain stakeholders facilitates the organizational learning process through capability development, increasing understanding and awareness of sustainability, and creating knowledge. This study strengthens the value of proactive and collaborative measurements to deal with stakeholder issues before putting pressure on a company, which can result in reputation and legitimacy loss. These insights enrich the theoretical debate while explaining stakeholders’ relevance and roles in the sustainable supply chain management context. However, the study has some limitations regarding the chosen sustainable supply chain management and stakeholder constructs and potential within-study bias, offering possibilities for further research.

Applications of deep learning into supply chain management: a systematic literature review and a framework for future research.

In today’s complex and ever-changing world, Supply Chain Management (SCM) is increasingly becoming a cornerstone to any company to reckon with in this global era for all industries. The rapidly growing interest in the application of Deep Learning (a class of machine learning algorithms) in SCM, has urged the need for an up-to-date systematic review on the research development. The main purpose of this study is to provide a comprehensive vision by reviewing a set of 43 papers about applications of Deep Learning (DL) methods to the SCM, as well as the trends, perspectives, and potential research gaps. This review uses content analysis to answer three research questions namely: 1- What SCM problems have been solved by the use of DL techniques? 2- What DL algorithms have been used to solve these problems? 3- What alternative algorithms have been used to tackle the same problems? And do DL outperform these methods and through which evaluation metrics? This review also responds to this call by developing a conceptual framework in a value-adding perspective that provides a full picture of areas on where and how DL can be applied within the SCM context. This makes it easier to identify potential applications to corporations, in addition to potential future research areas to science. It might also provide businesses a competitive advantage over their competitors by allowing them to add value to their data by analyzing it quickly and precisely.

Exploring the effects of relationship quality and c-commerce behavior on firms' dynamic capability and c-commerce performance in the supply chain management context

Although previous studies indicate the critical role of collaborative commerce (c-commerce) adoption and dynamic capability in the supply chain process, they have not addressed the relationship between c-commerce behavior and dynamic capability. By adopting the commitment-trust theory and the dynamic capability view, this study empirically examines the effects of relationship quality, c-commerce behavior, and dynamic capability on c-commerce performance. Survey data collected from 257 professionals in various manufacturing industries were analyzed using the partial least squares technique. The findings suggest that c-commerce behavior and dynamic capability are positively associated with c-commerce performance. However, negative calculative commitment does not positively affect c-commerce behavior. Moreover, institution-based trust does not negatively affect negative calculative commitment. This study is one of few studies investigating the relationships among the variables that contribute to c-commerce performance. The findings can serve as references for practitioners in supply chain practices.

The impact of the relationship commitment and customer integration on supply chain performance

PurposeThis study aims to show how to improve supply chain performance through the relationship between firms and their customers. In doing so, this study examines the impact of a firm’s relationship commitment and customer integration on supply chain performance. The aim is to detail a way to increase supply chain performance through the relationship between companies and their customers.Design/methodology/approachThe empirical analysis was based on a survey on 205 corporate-Egypt multi-industry businesses including manufacturing, retailing, wholesaling and shipping services firms. Data collection was through a questionnaire survey distributed to 1,264 senior managers with responsibilities in the field of supply chain, logistics, purchasing, marketing and operations and with a 16% response rate. A conceptual model was designed, and hypotheses were analysed with covariance-based structural equation modelling.FindingsThis study makes a significant contribution to the supply chain management (SCM) literature by examining the influence of firms’ relationship commitment on supply chain performance in the supply chain management context by means of the disaggregation of customer integration into two dimensions: integration with customer (IWC) and integration by customer (IBC). The findings indicate that firms’ relationship commitment does not relate directly to supply chain performance, but rather indirectly through integration both with and by customers.Research limitations/implicationsThis paper outlines a conceptual model in which firms’ relationship commitment relates indirectly to supply chain performance. The model also sheds light on the fact that IWCs precedes IBCs in supply chains. This finding suggests that firms should focus on customer integration to improve supply chain performance.Practical implicationsThis study offers a particularly refined understanding of the reasons behind and situations in which supply chain integration (SCI) enables firms to gain superior supply chain performance. In fact, firms focusing on customer integration may improve their supply chain performance, thus enhancing the value of the supply chain.Originality/valueThis study contributes to the literature by considering a relational view of the SCI-Performance path. In particular, by disaggregating customer integration into IWCs and IBCs, this paper verifies customer integration acting as a mediator between relationship commitment and supply chain performance in supply chains.

The Influence of Social Capital on Sustainable Performance: A Context of Sustainable Supply Chain Management

The Influence of Social Capital on Sustainable Performance: A Context of Sustainable Supply Chain Management

Uncovering dimensions of the impact of blockchain technology in supply chain management

Supply chains around the globe are faced with difficulties and disruptions due to the worldwide pandemic situation and digital solutions are needed. There is significant research interest in the implementation of blockchain technology (BCT) for supply chain management (SCM). A challenge that remains is analyzing the interactions of BCT in different areas of SCM. This study aims to identify the influential dimensions of the impact of BCT adoption in SCM and to discuss the synergetic and counter-synergetic effects between these dimensions. Advantages, disadvantages, and constraints of adopting BCT in the SCM context are explored through a systematic literature review, which provides the foundation for identifying the dimensions of impact. The interactions between these dimensions are conceptually discussed. This study introduces three dimensions of the impact of implementing BCT in SCM: ‘operations and processes’, ‘supply chain relationships’, and ‘innovation and data access’. These dimensions are interrelated and have overlapping areas within them, which leads to synergetic and counter-synergetic effects. The overlaps and synergies of the three dimensions of impact are illustrated, and the virtuous and vicious cycles of BCT adoption in SCM cases are highlighted. This study assists scholars and practitioners by clarifying the synergetic relationships within the dimensions of the impact of BCT in SCM and by providing considerations to prevent undesirable effects and expand desired ones.

Building and testing necessity theories in supply chain management

AbstractThis article contributes to the Emerging Discourse Incubator initiative by presenting how supply chain management scholars can contribute to theory development by means of necessity theories. These are unique theories that inform what level of a concept must be present to achieve a desired level of the outcome. Necessity theories consist of concepts that are necessary but not sufficient conditions for an outcome, where the absence of a single causal concept ensures the absence of the outcome. The theoretical features of necessary conditions have important implications for understanding supply chain management phenomena and providing practical applications. In 2016, Necessary Condition Analysis (NCA) became available for building and testing necessity theories with empirical data. However, NCA has not yet been used for the development of supply chain management theories. Therefore, we explain how necessity theories can be built and tested in a supply chain management context using necessity logic and the empirical methodology of NCA. We intend to inspire scholars to develop novel necessity theories that deepen or renew our understanding of supply chain management phenomena.

Assessing the Benefit of Adopting ERP Technology and Practicing Green Supply Chain Management toward Operational Performance: An Evidence from Indonesia

The recent concern on the environmental protection and COVID-19 issue is increasingly affecting the manufacturing industry. This research assessing the benefit of adopting ERP technology and practicing green supply chain management toward operational performance in manufacturing industry. The study is essential to provide insight for the manufacturing industry regarding the consequences and benefits of practicing the green supply chain and adopting ERP technology amid the current constraints of the environmental protection issue and the COVID-19 pandemic. The study has surveyed 122 companies domiciled in Indonesia. Data collection used a questionnaire designed with a seven-point Likert scale. Questionnaire created in Google form, printed and distributed using social media and postal mail. Data analysis used SmartPLS software version 3.0. The result revealed that ERP adoption enables green purchasing, production, distribution, and operational performance. Furthermore, operating performance is directly affected by green purchasing and green production. However, operating performance was not supported by green distribution. In addition, ERP adoption indirectly improves operational performance through green purchasing and green production. But ERP adoption did not affect operational performance through green distribution. This result provides essential insight for the manager in the manufacturing industry that adopting ERP in the era of the COVID-19 pandemic and practicing environmental protection such as green purchasing, green production enhances operational performance. In summary, the result of this study encourages the practitioner to adopt environmental protection in running their business since it benefits the company. While there are very few studies examining the relationship between ERP adoption, green supply chain practices, and operational performance, this study is essential in terms of exploring the mediating role of green supply chain practices on the effect of ERP adoption on operational performance. Thus, these research findings could enrich the current research in the supply chain management context.