Business Supply Chain Management Research Articles

Artificial Intelligence for Supply Chain Management (SCM): A Thematic Literature Review

Artificial intelligence (AI) is rapidly diffusing and becoming increasingly popular in the business world, as the most vital driving force to transform the business process in recent years. The applications of AI now are impacting all aspects of business operations, which also include Supply Chain Management (SCM). This research examines and discusses the current AI technologies used in logistics and SCM, including AI methods like Machine Learning (ML) and Advanced Data Analytics. We have conducted comprehensive research from literature research on available AI-based industrial applications today and explored some significant AI challenges for the SCM in business and related careers. The discussions cover AI's primary functions, including supply chain configuration, agility, demand forecasting, inventory control, scheduling, and solving SCM logistics issues. To sum up the discussions, we provided managerial implication suggestions for SCM professionals and researchers.

Impact of transformational leadership on employee motivation and performance in supply chain management

The study aimed to investigate transformational leadership’s influences on employee performance and motivation in supply chain management (SCM). Considering the effectiveness of transformational leadership traits in motivating subordinates in every organization, the purpose of the current research was to criticize how transformational leadership facilitates motivating employees in supply chain workplaces. A mixed approach methodology based on qualitative-interpretive and quantitative-positivism research design was chosen to gather data from the participant’s group. A randomly selected sample of 12 top, middle and bottom-level managers from supply chain organisations was chosen as the participants for the qualitative open-ended in-depth interviews and the quantitative survey-based questionnaires. Interview findings were analysed using thematic analysis. On the other side, statistical analysis of the survey findings reported the impacts of transformational leadership on enhanced employee productivity, employee motivation, employee turnover and supply chain management business. The study found that all the transformational leadership characteristics are necessary to motivate alongside improving operational efficiency among the employees in a supply chain workplace. Overall results concluded that with their Intellectual simulation, Idealised Influence, Inspirational Motivation, Individualized consideration, Contingent Reward, and Expectation Management. transformational leaders and managers ensure employees are motivated to pursue agility and overall performance of supply chain management is improved via brand position in the market. In terms of practical implications, the study recommended that SCM organisations need optimized procurement and allocation of resources at different processes to leverage on impacts of transformational leadership.

Compost fertilizer business supply chain management strategy for stability of potential added value of waste raw materials in Jambi province, Indonesia

This article describes strategies and policies for compost development based on the potential value-addition (VA) of waste raw materials and the problems faced in the supply chain. This research, which was conducted in the central area of smallholder oil palm plantations in Jambi province in Indonesia, is important because it is an integral part of the oil palm farmer's household independence efforts in the face of temporary income loss during the oil palm replanting program. In general, this study aims to develop a supply chain management strategy to maintain added value stability by ensuring the availability and price stability of the supply of waste raw materials, and product marketing policies in dealing with a single buyer (monopsony market). The data collected consisted of group historical data, interviews, and participatory observations. The method of analysis was descriptive based on data analysis using a value-added approach in a supply chain management framework. The research results show that: 1) the compost developed is not only able to provide VA but also encourages an increase in the selling value of the waste, 2) varies VA of is waste influenced by the price factor compared to the proportion of its use, 3) the VA is quite sensitive to changes on output price. The problem encountered in the downstream supply chain is the increase in the price of raw material for solid waste in cowsheds due to the gap between demand and supply. The level of availability of raw materials for cowshed solid waste depends on efforts to accelerate livestock population growth, such as through the implementation of sharia-based profit-sharing investments. In the upstream supply chain, the weak bargaining position of compost entrepreneurs due to the monopsony market has caused output prices to drop dramatically. The monopsony market that is faced has resulted in the low bargaining power of the compost business groups in price negotiating. Based on the findings, it can be concluded that government intervention is urgently needed to encourage the development of organic crop cultivation to create a more diversified market demand for compost. Key words: compost, organic, palm oil, raw material, solid, strategy, waste

A Comprehensive Review of the Integration of Blockchain Technology in Supply Chain Management

This paper reviews the concept of Supply Chain Management (SCM) and provides an introduction to the use of blockchain technology in SCM. SCM involves the coordination and control of operations related to the production and delivery of goods and services to clients. The traditional SCM model has been facing challenges, including a lack of transparency, inefficiency, and increased costs. Blockchain technology offers a promising solution to these challenges by providing a secure, decentralized, and transparent platform for the management of supply chain operations. This paper highlights the key features of blockchain technology and how it can be applied in the SCM business model. The use of blockchain can improve the efficiency of supply chain processes, reduce costs, increase transparency, and enhance trust among supply chain partners. The paper also discusses the challenges and limitations of implementing blockchain in SCM and provides recommendations for future research.

Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

PurposeIn this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.Design/methodology/approachUsing the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.FindingsThe results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.Research limitations/implicationsThe study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.Practical implicationsThis research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.Originality/valueThis study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

Optimization-based integrated decision model for smart resource management in the petrochemical industry

In this study, a new decision-supporting platform for the overall supply chain management of the petrochemical industries was proposed to maximize business profits. The proposed system integrates various decision-supporting models that address the critical challenges, both vertically and horizontally. Specifically, horizontal integration includes various decision-based problems along with the productive flow on the value chain from raw material purchasing and manufacturing to the final product sales, while vertical integration involves critical decisions at different levels, including the enterprise supply chain, the plant scheduling/planning, and the process operation. The optimization-based decision platform effectively supports the business's supply chain management, plant planning, and process operation strategy. The platform integrates different decision and featuring models, including a price prediction and a paper trading model for reducing the financial risks, a mathematical model of naphtha thermal cracker for identifying the optimal operating, and an optimization model for maximizing business profits. As a result, business profit was improved by 5.30% with only paper trade optimization, 6.67% with optimal operating conditions combined with price forecasting, and 11.98% with overall supply chain optimization. Thereby, the proposed platform assists decision-makers in determining the timing and quantity of raw material purchases and final product sales, as well as the operation strategies for process facilities, utilities, and inventory management. This study could be used to aid in the establishment of annual planning and scheduling as an auxiliary indicator for business operations.

Information and Communication Technology (ICT) Effect on Supply Chain Performance in the Dairy Industry

The technology and use of computers helped the Indian dairy industry to change its rural face and its organization. It’s revolution in today’s supply chain management business validate that they are vital elements which can surely bring success for any internetworked business enterprise. Information technologies can give a business a strategic technology platform that supports electronic commerce and enterprise collaboration among the internetworked enterprise in today’s global dairy business environment. The research paper attempts to find out the relationship between the information and communication technology as one of the variables of supply chain management with organizational performance which are identified as financial and market performance. Multiple regression technique has been used for the analysis in order to find the predictor variables for various performance measuring variables. The findings suggest that of ICT play a crucial role in enhancing the performance of the dairy’s companies in the form of increase in performance matrix indicators.

Influencing of supply chain management in business: Evidence from reference models

Influencing of supply chain management in business: Evidence from reference models

Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.

115 The Beef Industry in a Post-Pandemic World

The onset of the COVID-19 pandemic in 2020 caused unprecedented shocks and disruptions in the cattle and beef industry. The shutdown of food service in March 2020 caused an unparalleled stacking of food demand on the retail grocery sector. The rigidity and specialized nature of food service and retail grocery supply chains, compounded by a surge in consumer demand at retail grocery, resulted in temporary shortages of meat in other consumer products in supermarkets. The food service sector recovered somewhat over many weeks but remained diminished through the balance of 2020 and beyond. In April 2020, COVID-19 infections affected the labor forces of many meat packing and processing facilities and resulted in significant reductions in beef packing and further processing for eight to twelve weeks. This caused additional product shortages in retail grocery and food service sectors. These impacts have raised many questions about how the beef industry might adapt to be more resilient in the face of such profound disruptions. Possible changes include more use of multi-purpose facilities (less specialized for food service or retail grocery supply chains); design changes in new plants and retrofitting existing facilities to reduce human health impacts; changes in labor management; changes in inventory management; and changes in business supply chain management and risk assessment practices.

Integração interna para a Integração da Cadeia de Suprimentos: um estudo multicaso

Este artigo tem como propósito investigar a integração interna para a execução das atividades e processos de negócio da Gestão da Cadeia de Suprimentos e os efeitos gerados na Integração da Cadeia de Suprimentos. Esse enfoque de pesquisa se justifica pelo fato do crescente reconhecimento do papel da integração interna para a efetivação da Integração da Cadeia de Suprimentos. Além da revisão da literatura, realizou-se uma investigação empírica em seis empresas nacionais representativas nos seus setores de atuação. Os dados coletados foram analisados e codificados com o uso da técnica de Análise de Conteúdo. Os resultados apontaram que, de fato, a integração interna exerce um papel crucial para a efetivação dos princípios e práticas de GCS, cujos efeitos geram benefícios e melhorias tanto internamente às empresas como na integração externa com os demais elos das cadeias de suprimentos nas quais atuam. Há, portanto, uma melhoria nas ações de Integração da Cadeia de Suprimentos.

Integrated quality and supply chain management business diagnostics for organizational sustainability improvement

A growing number of organizations are integrating economic, ecologic and financial sustainability considerations into their management processes, driven by increased societal and stakeholder pressures. With a view to support organizations in this global challenge, this paper examines integration of sustainability into the two influential management approaches of quality management and supply chain management. To achieve this, a critical evaluation of the extant integrated models in the literature is undertaken, analyzing strengths and weaknesses and evidencing the limitations. Stemming from the gaps identified, a conceptual framework is formulated, holistically incorporating quality and supply chain management principles for organizational triple bottom line sustainable development. A road map for industrial practitioners is presented along with a business diagnostic tool that were constructed on the basis of novel, synergistic relationships established between the management principles of quality, supply chain integration and sustainability of organizations.

Identifying the key success factors (CSF) for the deployment of lean manufacturing techniques by using fuzzy TOPSIS (FTOPSIS) (Case Study: Iran Khodro Company)

Abstract. The aim of this study was to identify indicators of lean manufacturing techniques by using fuzzy TOPSIS in Iran Khodro Co. The population of the study is 296 managers and experts of Iran Khodro and number of samples by using Cochran formula is 167. The deployment of lean manufacturing with the peer review literature in the form of a conceptual model in the 5 dimensions of leadership, management information systems, human resources, supply chain management and manufacturing process management, identification and screening of indicators 15 were in the index locating in each dimension. Then, using the technique of fuzzy TOPSIS to evaluation and ranking of indicators and techniques of lean manufacturing with Shannon entropy TOPSIS looked fuzzy. The importance of leadership in the rankings after the first and dimension information system management, manufacturing process management, human resources and supply chain management business ranks second to fifth respectively. Using fuzzy TOPSIS techniques and were rated 15 of the index's weight.

An Evaluation of the Relationship between Supply Chain Management and Competitive Advantage : A Case Study of Aberdare Cables ( PTY ) Ltd , ( A Division of Powertech Group ) , South Africa

Effective supply chain management (SCM) has become a fundamental substratum for strategy formulation, as competition is no longer between organizations, but between their supply chains. Organizational success is now dependant on how well the organization collaborates externally, in order to achieve breakthrough results and sustain a unique advantage over its rivals. This research conceptualizes and develops three dimensions of SCM business processes (supplier relationship management (SRM), demand management (DM), and manufacturing flow management (MFM)) and tests the relationships between these processes and competitive advantage.

Cyber supply chain risk management: Revolutionizing the strategic control of critical IT systems

Cyber supply chain risk management (CSCRM) is a new discipline designed to help IT executives address the challenges of the rapid globalization and outsourced diffusion of hardware and software systems. CSCRM is an integrative discipline combining elements of cybersecurity, supply chain management, and enterprise risk management into a new and powerful concept to exert strategic control over the end-to-end processes of the focal organization and its extended enterprise partners. This article provides a survey of the field, as well as a detailed analysis of the results of a four-year research project on CSCRM, conducted by the Robert H. Smith School of Business Supply Chain Management Center for the National Institute of Standards and Technology, that focused on the development of organizational assessment tools and a capability/maturity model for this emerging discipline.

Do horizontal relationships matter to production and operations managers?

This paper shifts the focus of production, operations and supply chain management business relationships from the vertical to the horizontal side and calls for more research on this issue. The main intent is to provide managerially oriented arguments regarding the linkages between the achievement of operations-related goals and decisions related to horizontal business relationships. Specifically, we address the following research question: Does a linkage exist between production and operations objectives and the decisions a company makes about horizontal agreements, particularly horizontal governance mode choice? To answer this research question, we develop literature-based hypotheses and collect data from 4316 agreements of mergers and acquisitions and alliances and joint venture announced and completed between 2000 and 2010 by 88 of the first 100-ranked members of the Fortune 500 in the year 2000. We then test the hypotheses through a binary logistic regression model. This study brings interesting results and findings in terms of how and why production management considerations should play a crucial role in the type of strategic decisions that are usually reserved for finance and strategy managers. Operations managers should be fully involved in such decisions if they are to be well acquainted about how their choices impact on operational objectives.

Evolving Functional Perspectives Within Supply Chain Management

Since its introduction over three decades ago, the field of supply chain management (SCM) has undergone numerous transformations. Today it is a prevailing theme in scholarly and popular research, and numerous disparate disciplines claim its ownership. Despite the field's evolution there continues to be little agreement on the domain and unifying theory of SCM, as well as a consensus definition. The result has been a lack of clarity as to the scope of SCM, “siloed” research methodologies, and parallel research efforts. We interviewed 50 academic scholars across disciplines, as well as 20 SCM business executives, to extract commonality of opinion and discuss the future of SCM. The most important of these findings are the identification of “common ground” regarding the definition and scope of SCM, establishment of the need for interdisciplinary research, the recognition of the existence of “inner” and “outer core” functions central to SCM, and the nature of functional involvement in interdisciplinary research. In this paper we present these findings and provide a path forward based on the collective wisdom of these scholars and executives.

Obstructive Sleep Apnea and Health Benefits Purchasing: An Employer Perspective

Obstructive Sleep Apnea and Health Benefits Purchasing: An Employer Perspective

Risk Assessment in the Supply Chain Management Based on Fuzzy AHP Model

Abstract: In modern market economy, with the increasingly fierce business competition, supply chain management has become recognized as a business model. Each node enterprise in the supply chain must strengthen the supply chain risk management because of the management risk arising from supply chain management business model. Based on this, this paper provides scienti c basis for supply chain risk management decisions with evaluating comprehensively supply chain management risk from whole to part and making an empirical analysis. Key words: Supply chain; Supply chain management; Fuzzy AHP model;Risk assessment

Alignment between green supply chain management strategy and business strategy

It is generally recognised that a company’s green supply chain management strategy is effective to the extent that it is aligned with business strategy. Prior research argues that green supply chain management strategy enhances organisational performance, and provides the company with a competitive advantage. However, identification of appropriate green supply chain management – business strategy alignments and their impact on business performance have received relatively little conceptual attention. Given a conceptualisation of green supply chain management strategy through Simpson and Samson’s typology and business strategy through Miles and Snow’s typology, this paper: 1 develops a conceptual framework for aligning green supply chain management strategy with business strategy 2 identifies from prior research, four green supply chain management strategies (risk-based, efficiency-based, innovation-based and closed-loop) that theoretically aligns with Miles and Snow’s strategic business types (reactors, defenders, analysers and prospectors) 3 identifies which green supply chain management – business strategic alignments impact business performance. Implications, conclusions, limitations and future research opportunities are discussed.