A global exploration of Big Data in the supply chain

2016 ◽  
Vol 46 (8) ◽  
pp. 710-739 ◽  
Author(s):  
Robert Glenn Richey ◽  
Tyler R. Morgan ◽  
Kristina Lindsey-Hall ◽  
Frank G. Adams
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Success Factors ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Key Success Factors ◽  
Starting Point

Purpose Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research and practice. Currently, no extant research has defined the concept fully. The purpose of this paper is to develop an industry grounded definition of Big Data by canvassing supply chain managers across six nations. The supply chain setting defines Big Data as inclusive of four dimensions: volume, velocity, variety, and veracity. The study further extracts multiple concepts that are important to the future of supply chain relationship strategy and performance. These outcomes provide a starting point and extend a call for theoretically grounded and paradigm-breaking research on managing business-to-business relationships in the age of Big Data. Design/methodology/approach A native categories qualitative method commonly employed in sociology allows each executive respondent to provide rich, specific data. This approach reduces interviewer bias while examining 27 companies across six industrialized and industrializing nations. This is the first study in supply chain management and logistics (SCMLs) to use the native category approach. Findings This study defines Big Data by developing four supporting dimensions that inform and ground future SCMLs research; details ten key success factors/issues; and discusses extensive opportunities for future research. Research limitations/implications This study provides a central grounding of the term, dimensions, and issues related to Big Data in supply chain research. Practical implications Supply chain managers are provided with a peer-specific definition and unified dimensions of Big Data. The authors detail key success factors for strategic consideration. Finally, this study notes differences in relational priorities concerning these success factors across different markets, and points to future complexity in managing supply chain and logistics relationships. Originality/value There is currently no central grounding of the term, dimensions, and issues related to Big Data in supply chain research. For the first time, the authors address subjects related to how supply chain partners employ Big Data across the supply chain, uncover Big Data’s potential to influence supply chain performance, and detail the obstacles to developing Big Data’s potential. In addition, the study introduces the native category qualitative interview approach to SCMLs researchers.

Multiple temporal perspectives extend sustainable competitiveness

2017 ◽  
Vol 37 (11) ◽  
pp. 1600-1624 ◽  
Author(s):  
Robert Klassen ◽  
Sara Hajmohammad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Process Time ◽  
Temporal Orientation ◽  
Multiple Perspectives ◽  
Chain Management ◽  
Content Type ◽  
Starting Point ◽  
Short Termism

Purpose In operations and supply chain management, time is largely one-dimensional – less is better – with much effort devoted to compressing, efficiently using, and competitively exploiting clock-time. However, by drawing on other literatures, the purpose of this paper is to understand implications for the field of operations management if we also emphasize how humans and organizations experience time, termed process-time, which is chronicled by events and stages of change. Design/methodology/approach After a brief review, the limitations of the recurrent time-oriented themes in operations management and the resulting short-termism are summarized. Next, sustainability is offered as an important starting point to explore the concept of temporality, including both clock- and process-time, as well as the implications of temporal orientation and temporal conflict in supply chains. Findings A framework that includes both management and stakeholder behavior is offered to illustrate how multiple temporal perspectives might be leveraged as a basis for an expanded and enriched understanding of more sustainable competitiveness in operations. Social implications Research by others emphasizes the importance of stakeholders to competitiveness. By recognizing that different stakeholder groups have varying temporal orientations and temporality, managers can establish objectives and systems that better reflect time-based diversity and diffuse temporal conflict. Originality/value This paper summarizes how time has been incorporated in operations management, as well as the challenges of short-termism. Sustainability forms the basis for exploring multiple perspectives of time and three key constructs: temporal orientation, temporality, and temporal conflict. A framework is proposed to better incorporate temporal perspectives as a basis for competitiveness in operations and supply chain management.

Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dmitry Ivanov
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Value Creation ◽  
Operations Management ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Digital Platforms ◽  
Supply Chain Resilience ◽  
Resilience Capabilities

PurposeSupply chain resilience capabilities are usually considered in light of some anticipated events and are as passive assets, which are “waiting” for use in case of an emergency. This, however, can be inefficient. Moreover, the current COVID-19 pandemic has revealed difficulties in the timely deployments of resilience assets and their utilization for value creation. We present a framework that consolidates different angles of efficient resilience and renders utilization of resilience capabilities for creation of value.Design/methodology/approachWe conceptualise the design of the AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management through collating the extant literature on value creation-oriented resilience and practical examples and complementing our analysis with a discussion of practical implementations.FindingsBuilding upon and integrating the existing frameworks of VSC (Viable Supply Chain), RSC (Reconfigurable Supply Chain) and LCNSC (Low-Certainty-Need Supply Chain), we elaborate on a new idea in the AURA approach – to consider resilience as an inherent, active and value-creating component of operations management decisions, rather than as a passive “shield” to protect against rare, severe events. We identify 10 future research areas for lean resilience integrating management and digital platforms and technology.Practical implicationsThe outcomes of our study can be used by supply chain and operations managers to improve the efficiency and effectiveness by turning resilience from passive, cost-driving assets into a value-creating, inclusive decision-making paradigm.Originality/valueWe propose a novel approach to bring more dynamics to the notion of supply chain resilience. We name our approach AURA and articulate its two major advantages as follows: (1) reduction of disruption prediction efforts and (2) value creation from resilience assets. We offer a discussion on ten future research directions towards a lean resilience.

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.

Startups in the supply chain ecosystem: an organizing framework and research opportunities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stephan M. Wagner
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Design Methodology ◽  
Success Factors ◽  
Business Models ◽  
Service Providers ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Logistics

PurposeStartups are associated with innovation, emerging technologies, digitalization and disruptive business models. This article aims to provide a better understanding of startups in logistics and supply chain management, organizes the contemporary discussion around startups in the supply chain ecosystem and outlines opportunities for future research.Design/methodology/approachThis study draws on the prior supply chain, logistics and entrepreneurship literature and discusses key themes along the six identified startup issues. Furthermore, it proposes several perspectives and theories for grounding future research.FindingsThis study discusses the roles and success factors of startups in the supply chain ecosystem. It lays out how startups need to organize their own supply chains, how supply chain management (SCM) startups incubate and accelerate their ventures, the financing of SCM startups, as well as their positions as service providers, suppliers and customers.Originality/valueThis research brings together the sparse and dispersed literature on startups in the supply chain ecosystem, motivating scholars to increase the involvement of startups as important stakeholders in SCM research.

Supply chain management: the elusive concept and definition

2017 ◽  
Vol 28 (4) ◽  
pp. 1425-1453 ◽  
Author(s):  
Steve LeMay ◽  
Marilyn M. Helms ◽  
Bob Kimball ◽  
Dave McMahon
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Future Research ◽  
Consensus Definition ◽  
Chain Management ◽  
Content Type ◽  
Starting Point ◽  
Definition Of ◽  
Key Terms ◽  
Industry Associations

Purpose The purpose of this paper is to gather the current definitions of supply chain management in practical and analytical usage, to develop standards for assessing definitions and to apply these standards to the most readily available definitions of the term. Design/methodology/approach In this research, the authors gathered the current definitions of supply chain management in practical and analytical usage from journals, textbooks, universities, and industry associations and online. Findings The research ends with proposed definitions for consideration. Discussion and areas for future research are included. Research limitations/implications Involved organizations, supply chain management programs in higher education, and professional and certifying organizations in the field need to meet and work together to research consensus on the final definition of the field, realizing that definitions can evolve, but also recognizing that a starting point is needed in this rapidly growing area. Practical implications The authors argue, quite simply, that a consensus definition of supply chain management is unlikely as long as we continue offering and accepting definitions that are technically unsound. Many of the current definitions violate several principles of good definitions. For these reasons, they are either empty, too restrictive, or too expansive. Until we come across or develop a definition that overcomes these limitations and agree on it, then we will still search for “the” definition without finding it. The field will become more crowded with definitions, but less certain, and progress will be restricted. Originality/value Theoreticians, researchers, and practitioners in a discipline require key terms in a field to share a nominal definition and prefer to have a shared real or essential definition. Yet in supply chain management, we find no such shared definition, real or nominal. Even the Council of Supply Chain Management Professional offers its definition with the caveat: “The supply chain management (SCM) profession has continued to change and evolve to fit the needs of the growing global supply chain. With the supply chain covering a broad range of disciplines, the definition of what is a supply chain can be unclear” (CSCMP, 2016).

scholarly journals Modern slavery challenges to supply chain management

2015 ◽  
Vol 20 (5) ◽  
pp. 485-494 ◽  
Author(s):  
Stefan Gold ◽  
Alexander Trautrims ◽  
Zoe Trodd
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Knowledge Exchange ◽  
Theory Development ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Modern Slavery ◽  
Starting Point

Purpose – This paper aims to draw attention to the challenges modern slavery poses to supply chain management. Although many international supply chains are (most often unknowingly) connected to slave labour activities, supply chain managers and researchers have so far neglected the issue. This will most likely change as soon as civil society lobbying and new legislation impose increasing litigation and reputational risks on companies operating international supply chains. Design/methodology/approach – The paper provides a definition of slavery; explores potentials for knowledge exchange with other disciplines; discusses management tools for detecting slavery, as well as suitable company responses after its detection; and outlines avenues for future research. Findings – Due to a lack of effective indicators, new tools and indicator systems need to be developed that consider the specific social, cultural and geographical context of supply regions. After detection of slavery, multi-stakeholder partnerships, community-centred approaches and supplier development appear to be effective responses. Research limitations/implications – New theory development in supply chain management (SCM) is urgently needed to facilitate the understanding, avoidance and elimination of slavery in supply chains. As a starting point for future research, the challenges of slavery to SCM are conceptualised, focussing on capabilities and specific institutional context. Practical implications – The paper provides a starting point for the development of practices and tools for identifying and removing slave labour from supply chains. Originality/value – Although representing a substantial threat to current supply chain models, slavery has so far not been addressed in SCM research.

scholarly journals Digital information's challenges and potential at the nexus of Big Data Analytics and supply chain management

2018 ◽  
Vol 5 (1-8) ◽  
Author(s):  
Jordan Hensen
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Exploratory Research ◽  
Chain Management ◽  
Starting Point ◽  
Delphi Research

Despite the breadth of supply chain management (SCM) research, little attention has been paid to the application of Big Data Analytics to maximize the utilization of information in a supply chain. The objective of this article is to contribute to the development of SCM theory by examining the potential effects of Big Data Analytics on information utilization in a business and supply chain setting. Because it is critical for supply chain firms to have access to current, accurate, and useful data, the exploratory research will shed light on the opportunities and problems associated with the implementation of Big Data Analytics in SCM. While management is increasingly focusing on Big Data Analytics, actual research on the subject is still sparse. Due of the scarcity of relevant content at the nexus of Big Data Analytics and Supply Chain Management, the authors employ the Delphi research technique. The given Delphi survey findings complement to existing knowledge by identifying 43 opportunities and problems associated with the emergence of Big Data Analytics from a corporate and supply chain perspective. These structures provide the research community with a starting point for tailoring future research at the nexus of Big Data Analytics and SCM. The research contributes to the current body of knowledge by examining possibilities and challenges at the corporate and supply chain level with a particular emphasis on the consequences imposed by Big Data Analytics.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

scholarly journals Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics

2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Success Factors ◽  
Research Collaboration ◽  
Future Research ◽  
Structured Interviews ◽  
Chain Management ◽  
Domain Specific ◽  
The Status ◽  
The Impact

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.

Healthcare supply chain management: literature review and some issues

2018 ◽  
Vol 15 (3) ◽  
pp. 265-287 ◽  
Author(s):  
Bhavana Mathur ◽  
Sumit Gupta ◽  
Makhan Lal Meena ◽  
G.S. Dangayach
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Organizational Performance ◽  
Critical Role ◽  
Sample Survey ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Potential Benefits

PurposeThe purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.Design/methodology/approachThis paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.FindingsFrom the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.Research limitations/implicationsThe principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.Practical implicationsThis study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.Social implicationsThis study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.Originality/valueThis study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.

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