A Guided Tour Through the Qualitative Research City
I am pleased to share with you a new article I co-authored with Wendy L. Tate and Tingting Yan: A Guided Tour Through the Qualitative Research City. This is my first Journal of Supply Chain Management editorial. In this piece, we draw parallels between a city’s less-visited buildings and ten research approaches: (1) grounded theory, (2) interpretive research, (3) sensemaking, (4) sociomateriality, (5) actor–network theory, (6) ethnography, (7) action research, (8) discourse analysis, (9) narrative research, and (10) historical research. Our goal is to inspire our readers to embrace the methodological diversity of our discipline, as we have noticed a tendency for many to focus on a limited set of qualitative approaches, much like tourists flocking to the Eiffel Tower but not visiting other parts of Paris. JSCM is better equipped than ever to support these and other approaches, as we and our predecessors have made great efforts to diversify and expand our team of associate editors and reviewers to ensure that we can treat a manuscript as it deserves.
Wieland, A., Tate, W.L., & Yan, T. (2024). A Guided Tour Through the Qualitative Research City. Journal of Supply Chain Management, 60(1), 3–12. https://doi.org/10.1111/jscm.12315
Practices for the Writing Stages of Qualitative SCM Research
I have often noticed that researchers in our discipline have many questions about what good qualitative SCM research should look like. A new article by Rockmann and Vough, Using Quotes to Present Claims: Practices for the Writing Stages of Qualitative Research, is a great guide for scholars of qualitative management research. It emphasizes the critical fourth stage of qualitative research – the writing of findings – which goes beyond study design, data collection, and analysis. The authors introduce practical tools such as claim tables and storyboarding for organizing and presenting data, especially quotes. These methods help categorize quotes based on vividness and comprehensiveness, ensuring that different perspectives are included. The approach emphasizes the balance between “showing” data and “telling” its meaning, which is critical to creating compelling narratives. This article is definitely useful for SCM researchers, guiding them in transforming complex qualitative data into powerful, coherent findings, thereby increasing the credibility and impact of their research.
Rockmann, K.W., & Vough, H.C. (2023). Using Quotes to Present Claims: Practices for the Writing Stages of Qualitative Research. Organizational Research Methods, _(_), _-_. https://doi.org/10.1177/10944281231210558
Tackling the Replication Crisis in Supply Chain Management
The replication crisis that has deeply affected neighboring disciplines is now under scrutiny in operations management. Eight scholars (Davis et al.: A Replication Study of Operations Management Experiments in Management Science) took the initiative to examine the replicability of ten influential experimental articles. Their results were disturbing: only six articles were fully replicated, two were partially replicated, and two completely missed the mark. Such results raise questions about the robustness of our basic research. In light of these findings, a pressing question arises: Does supply chain management, a closely related discipline, face a similar challenge? As we chart the course forward, it is imperative that both operations and supply chain management embrace transparency, rigor, and accountability. Addressing this crisis head-on will ensure that our disciplines maintain credibility, relevance, and trustworthiness in the academic and business communities. It is clear that there is a need for more replication studies that can challenge existing work.
Davis, A.M., Flicker, B., Hyndman, K., Katok, E., Keppler, S., Leider, S., Long, X., & Tong, J.D. (2023). A Replication Study of Operations Management Experiments in Management Science. Management Science, 69(9), _-_. https://doi.org/10.1287/mnsc.2023.4866
A Brief Introduction to Grammarly and Deepl Write
As the recent debate about ChatGPT has shown, artificial intelligence tools are advancing rapidly. Today, I would like to introduce two AI tools that can be used to improve the language of academic texts. The first tool, Grammarly, can be integrated into programs like Word and suggests improvements, both in terms of errors and style. Grammarly has already found a large following among academic writers. The second tool is called Deepl Write and is currently in beta. It allows users to type text into an input field and get an improved text back. I tested this tool today by using it to improve the text of this blog post. While such tools may not be perfect, I believe they can help increase participation in SCM research by non-native speakers and those who cannot afford expensive proofreading services. The development is moving fast and I am excited to see what comes next.
Gap-Spotting or Problematization
How should researchers construct research questions for their academic work? One intuitive answer is by spotting a gap in the existing academic literature. This is certainly an effective approach that follows the Popperian scientific method. In addition to gap-spotting, there is a second approach that deserves a little more attention: problematization. Alvesson and Sandberg (2011) describe this approach in their famous article Generating Research Questions Through Problematization (a must read!). They write that “[t]he dominance of gap-spotting is surprising, given it is increasingly recognized that theory is made interesting and influential when it challenges assumptions that underlie existing literature.” This is what problematization does: it is about identifying and challenging assumptions that underlie existing theories and generating research questions that lead to the development of more interesting and influential theories. Of course, we will still need gap-spotting in the future. But I do believe that SCM research could benefit from more problematization.
Alvesson, M., & Sandberg, J. (2011). Generating Research Questions Through Problematization. Academy of Management Review, 36(2), 247–271. https://doi.org/10.5465/amr.2009.0188
Using Supply Chain Databases in Academic Research
In recent years, academic articles that use supply chain databases have become more and more common in SCM-related journals. Such databases (e.g., Bloomberg SPLC, FactSet Supply Chain Relationships, and Mergent Supply Chain) were originally not developed for use in academic research, but for use in business practice. However, they offer great potential for a better understanding of supply chains (or more precisely supply networks) and supply chain management and are therefore also very interesting for researchers. A recent article by Culot and her coauthors (2023) discusses these potentials and points out pitfalls for using supply chain databases in SCM research. The article is entitled Using Supply Chain Databases in Academic Research: A Methodological Critique and based on a review of previous studies using such databases, publicly available materials, interviews with information service providers, and the direct experience of the authors. I am sure this long-awaited article will serve as a reference for quantitative research relying on such databases for years to come.
Culot, G., Podrecca, M., Nassimbeni, G., Orzes, G., & Sartor, M. (2023). Using Supply Chain Databases in Academic Research: A Methodological Critique. Journal of Supply Chain Management, 59(1), 3–25. https://doi.org/10.1111/jscm.12294
Sensemaking in Supply Chains
Something that is long-established in other management disciplines but sadly almost completely neglected in the SCM discipline is research related to sensemaking. In short, sensemaking “involves turning circumstances into a situation that is comprehended explicitly in words and that serves as a springboard into action” (Weick et al., p. 409). Such research is concerned with subjective interpretations rather than objective truth and is therefore better suited to the study of social science phenomena than much of the positivist research we see in contemporary SCM research. Sensemaking is closely associated with the name of Karl E. Weick and his way of analyzing phenomena. Among Weick’s most famous studies is The Collapse of Sensemaking in Organizations: The Mann Gulch Disaster (1993). It could serve as a blueprint for analyzing SCM phenomena. Anyone considering a sensemaking study should read the book Sensemaking in Organizations (Weick, 1995). The article Organizing and the Process of Sensemaking (Weick et al., 2005) gives a very good overview of sensemaking.
Weick, K.E. (1993). The Collapse of Sensemaking in Organizations: The Mann Gulch Disaster. Administrative Science Quarterly, 38(4), 628–652. https://doi.org/10.2307/2393339
Weick, K.E. (1995). Sensemaking in Organizations. SAGE. ISBN 080397177X
Weick, K.E., Sutcliffe, K.M., & Obstfeld, D. (2005). Organizing and the Process of Sensemaking. Organization Science, 16(4), 409–421. https://doi.org/10.1287/orsc.1050.0133
Experiments in Supply Chain Management Research
Experiments have exerted a growing methodological influence on the SCM discipline in recent years. In their recently published article on this subject, entitled Experiments in Strategy Research: A Critical Review and Future Research Opportunities, Bolinger et al. (2021) examine and categorize experiments by “[identifying] topic areas in which experiments have been effectively deployed as well as several literature streams that have a limited amount of prior experimental research.” The authors also discuss challenges in using experiments, thereby addressing the level of analysis. SCM researchers should pay particular attention to this aspect, as many of the phenomena they study are not located at the firm level, as in strategy research, but at the supply chain level. The authors argue that their work “documents experimental research and provides a methodological practicum, thereby offering a platform for future experiment-based research in strategic management”. Although the authors review extant experimental work in strategic management, their results are certainly also very useful for SCM researchers.
Bolinger, M. T., Josefy, M. A., Stevenson, R., & Hitt, M. A. (2022). Experiments in Strategy Research: A Critical Review and Future Research Opportunities. Journal of Management, 48(1), 77–113. https://doi.org/10.1177/01492063211044416
Writing Skills: The Paragraph
The paragraph is probably the most important unit of a well-written academic text. It has a specific structure and standards that make it effective and enjoyable to read. This video demonstrates how to construct good paragraphs and improve writing with better clarity and flow.
What Is the Eisenhardt Method, Really?
There are different types of case-based research methods that differ considerably in their basic assumptions and objectives. An example of such a method is the multi-case theory-building approach, which is based on the work of Kathleen M. Eisenhardt. Her 1989 article, which laid the foundation for this method, has been cited tens of thousands of times to date. Unfortunately, there are countless misconceptions about the method in terms of types of data, number of cases, and performance emphasis. The method is also often overinterpreted as a rigid template, although it was never intended to be such a template. In a new article entitled What Is the Eisenhardt Method, Really?, Eisenhardt now puts her method in a new light and argues that the method’s relatively few defining features enable a wide variety of research possibilities. It should be clear that this new article is important reading for anyone who wants to do research with Eisenhardt’s method and for anyone whose work aims at theory building.
Eisenhardt, K.M. (2021). What Is the Eisenhardt Method, Really? Strategic Organization, 19(1), 147–160. https://doi.org/10.1177/1476127020982866
