Browsing by Subject "supply chain management"

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    The best of times and the worst of times: empirical operations and supply chain management research
    (Taylor & Francis, 2017) Melnyk, Steven A.; Flynn, Barbara B.; Awaysheh, Amrou; Occupational Therapy, School of Health and Rehabilitation Sciences
    We assess the current state of empirical research in operations and supply chain management (OSM), using Dickens’ contrast between the best of times and the worst of times as a frame. The best of times refers to the future that empirical OSM research is now entering, with exciting opportunities available using big data and other new data sources, new empirical approaches and analytical techniques and innovative tools for developing theory. These are well aligned with new research questions related to the digital economy, Industry 4.0, the impact of the millennial generation as consumers, social media, 3D printing, etc. However, we also explore how it is the worst of times, focusing on the challenges and problems that plague empirical OSM research. Our goal is to show how OSM researchers can learn from the worst of times, in order to be poised to take advantage of the best of times. We introduce the research diamond as a vehicle for emphasising the importance of a balanced research perspective that treats the research problem, theory, data collection and data analysis as equally important, requiring alignment between them. By learning and addressing the issues in this period of the best of times and the worst of times, we can take advantage of the opportunities facing our field to generate research that is balanced, insightful, rigorous, relevant, impactful and interesting.
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    Editorial: Survey Research Design in Supply Chain Management: The Need for Evolution in Our Expectations
    (Wiley, 2017) Flynn, Barbara B.; Pagell, Mark; Fugate, Brian; Kelley School of Business - Indianapolis
    Survey research in supply chain management has been and will continue to be an important methodology in advancing theory and practice. However, supply chain scholars have multiple, divergent views regarding what is acceptable in terms of survey design, especially regarding respondents. We build on insights and commentaries provided by JSCM associate editors to develop and share general guidelines we will use during our tenure as editors to consider the rigor of survey research designs. We also outline ways that survey designs for supply chain research can be strengthened. The aim of this editorial was to clearly communicate expectations to the JSCM community, so that authors and reviewers can be more successful in advancing the theory and practice of supply chain management.