scholarly journals Big data and connectivity in long-linked supply chains

2018 ◽  
Vol 33 (8) ◽  
pp. 1201-1208 ◽  
Author(s):  
Per Engelseth ◽  
Hao Wang
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Supply Chains ◽  
Technology Use ◽  
Future Research ◽  
Alternative View ◽  
Research Approach ◽  
Ongoing Research ◽  
Content Type

Purpose This study aims to consider the developing of strategic use of big data in association with long-linked physical goods supply focusing on risk management. Design/methodology/approach Analysis is grounded on a case study of organizing the import of machine parts from Shanghai, China, to Norway. An analytical framework is developed through a literature review on long linked supply chains, big data and risk management. Findings Analysis reveals that big data use in this scenario encompasses mainly around handling risks associated with transformations in the supply chain, a data-driven approach. Complexity is founded in transformation – the flows of goods and information. Supply chain dynamics represent an important source for data acquisition for big data analytics. Research limitations/implications The qualitative nature of the study limits the aim of generalization. An alternative view of big data as process is discussed and proposed, adapted to supply chain management and industrial marketing functionality. Originality/value This is the first part in an ongoing research project aimed at developing a research approach to study information technology use in the inherently complex setting and scope of a long linked supply network. This scope of investigation enhances big data associated with operations dynamics providing foundation for future research on how to use big data to mitigate risk in long linked supply chains.

How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surajit Bag ◽  
Pavitra Dhamija ◽  
Sunil Luthra ◽  
Donald Huisingh
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Supply Chains ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Hypothetical Model ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Capabilities

PurposeIn this paper, the authors emphasize that COVID-19 pandemic is a serious pandemic as it continues to cause deaths and long-term health effects, followed by the most prolonged crisis in the 21st century and has disrupted supply chains globally. This study questions “can technological inputs such as big data analytics help to restore strength and resilience to supply chains post COVID-19 pandemic?”; toward which authors identified risks associated with purchasing and supply chain management by using a hypothetical model to achieve supply chain resilience through big data analytics.Design/methodology/approachThe hypothetical model is tested by using the partial least squares structural equation modeling (PLS-SEM) technique on the primary data collected from the manufacturing industries.FindingsIt is found that big data analytics tools can be used to help to restore and to increase resilience to supply chains. Internal risk management capabilities were developed during the COVID-19 pandemic that increased the company's external risk management capabilities.Practical implicationsThe findings provide valuable insights in ways to achieve improved competitive advantage and to build internal and external capabilities and competencies for developing more resilient and viable supply chains.Originality/valueTo the best of authors' knowledge, the model is unique and this work advances literature on supply chain resilience.

A critical analysis of supply chain risk management content: a structured literature review

2017 ◽  
Vol 14 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Literature Review ◽  
Critical Analysis ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Marked Rise ◽  
Content Type ◽  
Risk Management Process

Purpose The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content. The SCRM literature seems to require studies that utilize risk typology, sources of risk, etc. for reviewing the topic. The purpose of this paper is to bridge the gap by synthesizing the information obtained from 343 articles across 85 journals. This study also presents a critical analysis of the content of SCRM in a structured manner to identify the directions for future research. Design/methodology/approach A systematic literature review (SLR) was devised and adopted, which involved the selection, classification, and evaluation of 343 research articles published over a period of 11 years (2004-2014). The content of extant SCRM literature was critically analyzed and synthesized from the perspective of the risk management process (RMP). Findings The analysis of extant literature shows that there is a marked rise in research in the SCRM area, especially after the year 2005. It was observed that not only risk but also different forms of uncertainties make supply chain (SC) operations difficult to manage. The SCRM actions yielded most benefits when their implementation was at chain or network level and managed strategically. The analysis also reveals that the manufacturing sector is most affected by risks and highly investigated by researchers. Practical implications A complete process for SCRM based on risk stratification, objectives of risk management, and RMP will be a guiding model for firms to manage risks. The research gaps identified and future directions provided here will encourage researchers and managers to devise new methods, tools, and techniques to address the risks in modern SC operations. Originality/value An SLR and risk-based content classification of SCRM literature were performed. To identify, locate, select, and analyze the SCRM literature, a structured and systematic process was adopted with some very rarely used methods such as two levels of search keywords, and strings were formulated to locate the most relevant articles in major academic databases.

The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Culture

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.

Incorporating the risk of knowledge loss in supply chain risk management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdelkader Daghfous ◽  
Abroon Qazi ◽  
M. Sajid Khan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Risk Mitigation ◽  
Relevant Literature ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Knowledge Loss ◽  
Content Type ◽  
Knowledge Based

PurposeThe literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.Design/methodology/approachThis paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.FindingsKnowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.Research limitations/implicationsThis paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.Originality/valueThis paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.

Strategic capabilities for managing risks in supply chains: current state and research futurities

2019 ◽  
Vol 17 (2) ◽  
pp. 173-211 ◽  
Author(s):  
Vishnu C.R. ◽  
R. Sridharan ◽  
Angappa Gunasekaran ◽  
P.N. Ram Kumar
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
Future Research ◽  
Content Type ◽  
Efficiency And Effectiveness ◽  
Strategic Capabilities ◽  
And Performance ◽  
Potential Methods ◽  
Supply Chain Risks

Purpose The purpose of this paper is to investigate the distinction and relationships between the significant strategic capabilities for managing risks in supply chains. This intersectional review exposes a substantial conceptual contradiction between the perspectives reported by various researchers. Further, the current paper classifies the literature into four categories according to the broad objectives investigated by the research papers. Design/methodology/approach Initially, a bibliometric analysis aligned with the concepts of a systematic literature review is conducted followed by a descriptive review focusing on models and methods. The software called BibExcel is utilized to extract and analyze the bibliographic information in a textual form from the research articles associated with strategic capabilities of the logistics sector. The results are exported to the software known as Gephi to visualize keyword co-occurrence analysis as networks. A well-structured descriptive review is also conducted to identify avenues for future research. Findings Despite conventional supply chain capabilities like efficiency and effectiveness, eight significant strategic capabilities of supply chains for managing risks are identified from the literature. These capabilities with positive connotations include flexibility, reliability, resilience, robustness, agility, adaptability, alignment and responsiveness. Considering the vast literature on flexibility/reliability along with its numerous dimensions and scope, the authors found that resilience, robustness, agility, adaptability, alignment and effectiveness are achievable through flexibility/reliability. Accordingly, it is appropriate to state reliability and flexibility as supply chain capabilities to achieve the other six supply chain competencies. Furthermore, the entire literature in this domain can be classified into four genres according to the addressed objectives, namely, concept development/validation, capability assessment, network design and performance evaluation. Research limitations/implications The information revealed from the keyword co-occurrence analysis along with the research implications provided in the penultimate section will assist budding researchers in framing novel and promising research objectives. Supply chain administrators and policymakers can utilize the literature classification and the notable references provided in this review for locating potential methods for assessing supply chain strategic capabilities, designing the supply chain and evaluating the performance of the supply chain. Originality/value An integrated bibliometric and descriptive literature review procedure is utilized in this paper. Furthermore, this critical review is the first work on comprehensively mapping the research relationships among various strategic capabilities required for mitigating supply chain risks.

scholarly journals Understanding supply chain analytics capabilities and agility for data-rich environments

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Usa

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

Supply Chains under Security Threat

2020 ◽  
pp. 20-43
Author(s):  
Miguel Gastón Cedillo-Campos ◽  
A. Bueno-Solano ◽  
R. G. González-Ramírez ◽  
E. Jiménez-Sánchez ◽  
G. Pérez-Salas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
International Standards ◽  
Future Research ◽  
Research Approach ◽  
Security Threat ◽  
Supply Chain Networks ◽  
Local Risk ◽  
Security Standards ◽  
The U.S

Contemporary prosperity depends on effective and secure supply chain networks that support economic competitiveness. Disruptions in global supply chains would have critical consequences on economies. The lack of technical studies and quantitative data concerning security that affects supply chain operations in Latin America, motivated to develop an exploratory study. Considering the complexity of the question studied, this paper details a set of case studies that explore, from a qualitative research approach, to what extent fulfilling security international standards now necessary to access mature markets such as the U.S and Canada allows export companies located in emerging countries as Mexico to face effectively the different types and levels of local risk. These results should help both academics and practitioners to more readily understand, first, the key logistics components now taken into account when improving security in export-oriented supply chains is required, and second, decision-makers' perspectives regarding supply chain security standards (SCSS) available on the market. A discussion of results is exposed and finally, discussion and future research are presented.

scholarly journals A decade of supply chain collaboration and directions for future research

2015 ◽  
Vol 20 (6) ◽  
pp. 613-630 ◽  
Author(s):  
Claudine Antoinette Soosay ◽  
Paul Hyland
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Holistic Approach ◽  
The Body ◽  
Future Research ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Humanitarian Supply Chains ◽  
The Past ◽  
Body Of Knowledge

Purpose – This paper aims to conduct a systematic review of the literature on supply chain collaboration published over a 10-year period from 2005 to 2014. It explores the nature and extent of research undertaken to identify key themes emerging in the field and gaps that need to be addressed. Design/methodology/approach – The authors review a sample of 207 articles from 69 journals, after using an iterative cycle of defining appropriate search keywords, searching the literature and conducting the analysis. Findings – Key themes include the meaning of collaboration; considerations for supply chain collaboration theory; emerging areas in collaboration for sustainability, technology-enabled supply chains and humanitarian supply chains; and the need for a more holistic approach, multi-tier perspectives and research into B2C collaborations. Research limitations/implications – The paper provides discussion and scope for future research into the area which would contribute to the field tremendously. Originality/value – There have been very few reviews in the past on supply chain collaboration, and this is one of the first extensive reviews conducted to address how well the body of knowledge on supply chain collaboration corresponds with our contemporary society.

Management of supply chains with attribute-sensitive products: a comprehensive literature review and future research agenda

2020 ◽  
Vol 31 (4) ◽  
pp. 885-903
Author(s):  
Mehdi Amini ◽  
Carol C. Bienstock ◽  
Mihalis Golias
Keyword(s):  
Content Analysis ◽  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
Barometric Pressure ◽  
The State ◽  
Future Research ◽  
Content Type ◽  
Link Type ◽  
Comprehensive Literature Review

PurposeMismanagement of supply chain operations may lead to waste of products and incur substantial monetary losses. This is particularly true for products with attributes that hasten deterioration, e.g. time, temperature, humidity and barometric pressure. Attribute-sensitive products must be carefully monitored throughout all supply chain processes to ensure acceptable quality to the end customers. This paper presents a comprehensive review of the scientific literature on attribute sensitive products and on attribute sensitive supply chains. The collected studies were reviewed using the content analysis method, focusing on the following aspects of attribute sensitive products: (1) industries; (2) product categories; (3) decisions involved; (4) processes; (5) current issues; (6) sustainability concerns; (7) research methods used; (8) objectives of decision makers; (9) solution approaches used; (10) incentives driving management and (11) future research issues. Based on the analysis of findings, gaps are identified, and future research directions are proposed.Design/methodology/approachLiterature review and content analysis.FindingsThe authors discovered that, while the importance of product attributes vary from one industry to the other, overall the time attribute was critical in all of the industries considered in this literature review. Coordination, customer satisfaction, reliability and safety were key issues in attribute sensitive product supply chains (asp-SCs). Similar to the typical supply chains, asp-SCs face economic, social and environmental sustainability issues. However, the majority of the studies in our analysis emphasized importance of the social sustainability. The majority of the papers were reviewed and analyzed and adopted the modeling approach as a research method. Furthermore, it was found that asp-SCs were mostly driven with customer demands and social pressure.Research limitations/implicationsBased on the literature review and content analysis, there are a number of directions for the work conducted in this study to be extended in several directions. First, the literature search could be expanded by relaxing some of the restrictions (e.g. include the conference papers and articles from on-line business journals). Second, additional scientific publishers can be considered (e.g. Emerald Insight–www.emeraldinsight.com; Inderscience–www.inderscience.com). The latter two extensions would allow a more precise assessment of published to date work on asp-SC operations. Third, our findings could be validated based on interviews with professionals and executives from companies dealing with asp-SCs. Such validation will allow identification of the differences between the state of the art and the state of practice.Practical implicationsSupply chains that handle attribute sensitive products (asps) must consider the complexity of products that significantly change their properties due to factors such as time, temperature, barometric pressure, humidity. Mismanagement of operations within such supply chains may lead to significant product waste, as well as substantial monetary losses.Originality/valueThis study presented a comprehensive literature review and content analysis of studies dealing with asps in the following industries: fashion, food, healthcare, humanitarian and pharmaceutical industries

The social process of Big Data and predictive analytics use for logistics and supply chain management

2019 ◽  
Vol 49 (7) ◽  
pp. 706-726 ◽  
Author(s):  
Annibal Sodero ◽  
Yao Henry Jin ◽  
Mark Barratt
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Technology Use ◽  
Predictive Analytics ◽  
Social Process ◽  
Theory Approach ◽  
Chain Management ◽  
Content Type ◽  
The Social

Purpose The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations. Design/methodology/approach The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC. Findings Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design and institutional properties. Findings also reveal previously unreported aspects of BDPA use for LSCM. These include the presence of temporal and spatial discontinuities in the technology use across RSC organizations. Practical implications This study unveils that it is impossible to design a BDPA technology ready for immediate use. The emergent process framework shows that institutional and social factors require BDPA use specific to the organization, as the technology comes to reflect the properties of the organization and the wider social environment for which its designers originally intended. BDPA is, thus, not easily transferrable among collaborating RSC organizations and requires managerial attention to the institutional context within which its usage takes place. Originality/value The literature describes why organizations will use BDPA but fails to provide adequate insight into how BDPA use occurs. The authors address the “how” and bring a social perspective into a technology-centric area.

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