scholarly journals Mapping the operations and supply chain management field: a journal governance perspective

2017 ◽  
Vol 37 (7) ◽  
pp. 898-926 ◽  
Author(s):  
Thomas F. Burgess ◽  
Paul Grimshaw ◽  
Luisa Huaccho Huatuco ◽  
Nicola E. Shaw
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Academic Discipline ◽  
Research Question ◽  
Knowledge Structures ◽  
Academic Journal ◽  
Chain Management ◽  
Content Type ◽  
Advisory Boards

Purpose The purpose of this paper is to address the following research question: how do the interlocking editorial advisory boards (EABs) of operations and supply chain management (OSCM) journals map out the field’s diverse academic communities and how demographically diverse is the field and its communities? Design/methodology/approach The study applies social network analysis (SNA) to web-based EAB data for 38 journals listed under operations management (OM) in the 2010 ABS Academic Journal Quality Guide. Findings The members of EABs of the 38 journals are divided into seven distinct communities which are mapped to the field’s knowledge structures and further aggregated into a core and periphery of the network. A burgeoning community of supply chain management academics forms the core along with those with more traditional interests. Male academics affiliated to the US institutions and to business schools predominate in the sample. Research limitations/implications A new strand of research is opened up connecting journal governance networks to knowledge structures in the OSCM field. OM is studied separately from its reference and associated disciplines. The use of the ABS list might attract comments that the study has an implicit European perspective – however the authors do not believe this to be the case. Practical implications The study addresses the implications of the lack of diversity for the practice of OM as an academic discipline. Social implications The confirmation of the dominance of particular characteristics such as male and US-based academics has implications for social diversity of the field. Originality/value As the first study of its kind, i.e. SNA of EAB members of OSCM journals, this study marks out a new perspective and acts as a benchmark for the future.

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.

Real-time data processing in supply chain management: revealing the uncertainty dilemma

2019 ◽  
Vol 49 (10) ◽  
pp. 1003-1019 ◽  
Author(s):  
Sabrina Lechler ◽  
Angelo Canzaniello ◽  
Bernhard Roßmann ◽  
Heiko A. von der Gracht ◽  
Evi Hartmann
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Data Processing ◽  
Real Time ◽  
Data Science ◽  
Research Question ◽  
Time Data ◽  
Chain Management ◽  
Content Type ◽  
Real Time Data Processing

Purpose Particularly in volatile, uncertain, complex and ambiguous (VUCA) business conditions, staff in supply chain management (SCM) look to real-time (RT) data processing to reduce uncertainties. However, based on the premise that data processing can be perfectly mastered, such expectations do not reflect reality. The purpose of this paper is to investigate whether RT data processing reduces SCM uncertainties under real-world conditions. Design/methodology/approach Aiming to facilitate communication on the research question, a Delphi expert survey was conducted to identify challenges of RT data processing in SCM operations and to assess whether it does influence the reduction of SCM uncertainty. In total, 14 prospective statements concerning RT data processing in SCM operations were developed and evaluated by 68 SCM and data-science experts. Findings RT data processing was found to have an ambivalent influence on the reduction of SCM complexity and associated uncertainty. Analysis of the data collected from the study participants revealed a new type of uncertainty related to SCM data itself. Originality/value This paper discusses the challenges of gathering relevant, timely and accurate data sets in VUCA environments and creates awareness of the relationship between data-related uncertainty and SCM uncertainty. Thus, it provides valuable insights for practitioners and the basis for further research on this subject.

Bharat Tobacco: vendor selection and vendor rating

2013 ◽  
Vol 3 (2) ◽  
pp. 1-8
Author(s):  
Monica Singhania ◽  
Gagan Gandhi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Manufacturing Industry ◽  
Marketing Research ◽  
Vendor Selection ◽  
Chain Management ◽  
Content Type ◽  
Vendor Rating

Subject area Supply chain management and particularly the significance of vendors as a strategic decision making tool. Study level/applicability The case is suitable for use in the following courses: MBA programs with specialisation in operations management where it can be used to teach students the significance of vendor selection and vendor rating in supply chain management (SCM); marketing research in management where it can be used to highlight the concept of multi attribute utility theory (MAUT) and its application; advanced statistics for multi criteria decision making (MCDM); and MBA/post graduate programs in management in strategic management where it can be used to introduce the concept of SWOT analysis and Porter's five forces model. An understanding of business process improvement will enable students get a comprehensive view about the case. Case overview This case showcases the concepts of MCDM and SCM in manufacturing industry. The company wanted to select vendors and rate them in each category of raw materials in order to have a competitive advantage over competitors. Since there are multiple attributes (often contradictory in nature) based on which the vendors would be selected Kaul, Vice-President, Commercial uses multi-attribute utility theory (MAUT) to help solve the problem. The case has implications for manufacturing industry in selecting vendors to meet a raw materials need. Expected learning outcomes The case can be used to understand management concepts such as market research, supply chain management and multi criteria decision making. It can be used to: teach complexities involved in identifying attributes for vendor selection and vendor rating; help understand supply chain management in business process improvement; help students understand the application of MCDM; and help MBA students studying marketing research. The case will also be useful to students in understanding the application of MCDM in operations management. Some knowledge about cigarette manufacturing will help students to realize the depth of the case. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes.

scholarly journals Social network analysis in operations and supply chain management: a review and revised research agenda

2020 ◽  
Vol 40 (7/8) ◽  
pp. 1153-1176 ◽  
Author(s):  
Yujia Han ◽  
Nigel David Caldwell ◽  
Abhijeet Ghadge
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Value Creation ◽  
Operations Management ◽  
Chain Management ◽  
Content Type ◽  
Contemporary Management

PurposeSocial network analysis (SNA) seeks to manage the connections between entities through investigating and understanding behaviours and relationships. This study demonstrates the increasing relevance of social network approaches to solving contemporary and looming operations management (OM) and supply chain management (SCM) problems; including the coordination operations challenges raised by increased connectivity.Design/methodology/approachThe systematic literature review approach adopted here examines 63 papers in OM and SCM published between 2000 and 2019. To-date OM reviews on SNA have focussed on discussing archetypal supply chains, what differentiates this study is the focus on how value was created in other forms of chains and operations.FindingsThis study reveals that current SNA adoption in OM is dominated by a manufacturing style focus on linear, sequential value creation, with a resulting focus only on sequential interdependence. SNA studies on reciprocally co-ordinated value creation (e.g. many service and network operations) are shown to have been neglected and are linked to a new agenda on contemporary management issues.Research limitations/implicationsBeyond encouraging the use of SNA, this study seeks to re-orient SNA approaches towards how contemporary services and networks create value.Originality/valueThrough adopting a unique combination of approaches and frameworks, this study challenges extant work to offer a substantially revised agenda for SNA use in Operations and Supply Chain Management.

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.

Theory development in China-based supply chain management research

2016 ◽  
Vol 27 (3) ◽  
pp. 972-1001 ◽  
Author(s):  
Xiaohong Liu ◽  
Alan C. McKinnon
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Management Practices ◽  
Early Stage ◽  
Theory Development ◽  
Business Environment ◽  
Chinese Economy ◽  
Chain Management ◽  
Content Type

Purpose Although well established in North America and Europe, the study of supply chain management (SCM) is still at a relatively early stage in its development in China. The transformation and rapid growth of the Chinese economy has, nevertheless, created major supply chain challenges for the country making SCM a very fertile area of business research. In Western countries, research on SCM is now mature and underpinned by a solid body of theory. The purpose of this paper is to examine the extent to which research on SCM in China has also developed a theoretical basis. Design/methodology/approach The research involved a systematic review of 150 papers published in 18 journals in the fields of SCM, logistics, operations management and marketing during the period 2004-2014. A three-step process was adopted to select appropriate journals, identify relevant articles and classify them in terms of their theoretical content. Findings The study has confirmed that, because of its unique economic, political and cultural setting, supply chain development in China has presented new research challenges. Many examples were found of researchers conducting quasi-experiments to test the applicability of established theories to Chinese supply chains while others have tried to develop new ones that are more closely aligned with the Chinese economy and management practices. Researchers have exhibited a heavy reliance on existing theories, with relatively few attempting to customise them to the Chinese context or to construct new ones. Research limitations/implications Given the broad scope of SCM, it is possible that the journal and paper selection processes have accidentally screened out relevant papers. The total sample of papers is, nevertheless, large for an explorative study of this type and should, therefore, give an overall impression of the level of theory development in Chinese SCM research. Practical implications This study provides a general framework within which to assess the application and development of theories in the Chinese SCM context. It is principally concerned with three components: the SCM phenomena studied, the Chinese business environment and the theoretical contribution of the research. The paper is targeted more at an academic audience than practitioners, though provides an overview of the research so far undertaken on SCM in China that should be of wider interest. Originality/value This study is the first of its kind to review China-based SCM research systematically from the perspective of theory development. It should support the evolution of SCM theory not only in China but also more generally.

scholarly journals Nordic research in logistics and supply chain management: an empirical analysis

2008 ◽  
Vol 38 (6) ◽  
pp. 452-474 ◽  
Author(s):  
Jan Stentoft Arlbjørn ◽  
Patrik Jonsson ◽  
John Johansen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Academic Discipline ◽  
Research Field ◽  
Nordic Countries ◽  
Case Study Methodology ◽  
Research Issues ◽  
Chain Management ◽  
Content Type ◽  
Publication Patterns

PurposeThe purpose of this data‐based analysis is to report and reflect on the characteristics of the academic discipline concerned with logistics and supply chain management (SCM) as it is conducted in the Nordic countries (Denmark, Finland, Iceland, Norway and Sweden). The paper further seeks to explain variations in the research field in terms of the demographics, research domains and methodologies, and publication patterns of the study's respondents.Design/methodology/approachAn e‐mail questionnaire survey was distributed to 353 researchers based in the Nordic countries. With 144 answers returned, the response rate was 41 per cent.FindingsThe study did not provide a clear picture of a distinct Nordic research paradigm applying to the study of logistics and SCM. The analysis shows as characteristic of research issues pursued by Nordic researchers the focus on supply chains and networks and the use of dyads, chains or networks of organizations as levels of analysis. The use of case study methodology and a highly diversified publication pattern were likewise evident. Most researchers were found to rely heavily on external research funding. Significant differences were also identified for research conducted by researchers holding PhD degrees as compared to research by respondents with lower degrees, for researchers affiliated with institutions based in the technical sciences in comparison to those in the social sciences, and for institutions according to their varying degrees of experience with research in the field and external funding.Research limitations/implicationsThe research reported here may help individual researchers raise their consciousness about their own research.Originality/valueThis is the first empirical study to analyze research paradigms within logistics and SCM in the Nordic countries. It identifies a number of significant differences in regard to research patterns among various categories of researchers and institutions.

scholarly journals Operations and supply chain management

2016 ◽  
Vol 36 (12) ◽  
pp. 1673-1695 ◽  
Author(s):  
Paul Coughlan ◽  
Domien Draaijer ◽  
Janet Godsell ◽  
Harry Boer
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Theory And Practice ◽  
Reflective Practitioner ◽  
Chain Management ◽  
Content Type ◽  
Management Association ◽  
Practical Implications

Purpose Based on the combined experiences of operations and supply chain management (O&SCM) scholars and a reflective practitioner, the paper compares, contrasts and reconciles the competences needed to research O&SCM practice and to practice O&SCM research. The purpose of this paper is to locate these competences for young faculty in relation to their ambitions and career choices. Design/methodology/approach The paper is based upon the contributions made at European Operations Management Association 2014 Young Scholars Workshop (YSW). The theme and programme of the workshop was “Operations management – research and practice”. Findings The paper outlines first the concept of the YSW, the evolution of themes and the specific focus of the 2014 workshop. It concludes with a reflection on the career development of O&SCM scholars, their potential role, as academics or practitioners, in the development of O&SCM theory and practice, and the role of collaborative research in that development. Practical implications This paper shows what it takes for O&SCM researchers to engage with “the world around us” involves and, vice versa, how “doctorate” OM and SCM practitioners may successfully solve practical problems and engage with the O&SCM world surrounding them in doing so. Originality/value The paper presents a collection of viewpoints of O&SCM scholars and a reflective practitioner on the competences needed to research OM practice and to practice OM research.

Navy expeditionary logistics

2018 ◽  
Vol 14 (2) ◽  
pp. 207-231
Author(s):  
Keenan Yoho ◽  
Uday Apte
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Process Improvement ◽  
Operations Management ◽  
Research Methodology ◽  
Business Schools ◽  
Process Analysis ◽  
Continuous Process ◽  
Chain Management ◽  
Content Type

Synopsis Continuous process improvement has been widely taught in business schools and has yielded real results and success in both for-profit and non-profit sectors. Though there have been many cases developed for use in business schools, few, if any, situate the topic in a military context. Further, expeditionary logistics presents managers with special problems of being removed from their supporting enterprise systems that process, track, and/or control of such logistical elements as purchase orders, inventory, distribution, receivables, and fulfillment. The authors present a case in a military setting that exposes students to the challenges of expeditionary logistics and takes them through the fundamentals of process analysis and process improvement. Research methodology The authors used a research methodology of a case study. Data were collected during field visits over the course of multiple interviews. Interviews were conducted with subject matter experts and active professionals serving in US Navy expeditionary logistics roles regarding processes and process performance. Relevant courses and levels This case can be applied to senior undergraduate or graduate-level courses in operations management, supply chain management, or logistics. Theoretical bases The theoretical bases adopted in this paper are supply chain management, information technology, operations management, and process improvement methodologies such as Six Sigma and Lean.

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