Shifting from “company thinking” to “supply chain thinking” has successfully replaced the system, managers had in mind when making their decisions. This shift has put some of the parts of what has formerly been considered the company’s unmanageable environment into their unit of analysis. A supply chain, however, is per definition linear. In the age of sustainability, we might thus need to go one step further and shift from “linear thinking” towards “circular thinking”. The circular economy (or closed-loop supply chain) could replace the linear system by a circular system in the minds of decision makers. This is illustrated in a video released by the European Commission.
You should all read this interesting article: Approaching the Conceptual Leap in Qualitative Research by Klag & Langley (2013), which is useful for researchers who build theory from qualitative data. Its central message is “that the abductive process is constructed through the synthesis of opposites that [the authors] suggest will be manifested over time in a form of ‘bricolage’.” The authors use four dialectic tensions: deliberation—serendipity, engagement—detachment, knowing—not knowing, social connection—self-expression. One of the poles of each dialectic has a disciplining character, the other pole has a liberating influence: On the one hand, overemphasizing the disciplining poles “may result in becoming ‘bogged down’ in contrived frameworks (deliberation), obsessive coding (engagement), cognitive inertia (knowing) or collective orthodoxy (social connection)”. On the other hand, overemphasizing the liberating poles “can also be unproductive as researchers wait for lightning to strike (serendipity), forget the richness and nuances of their data (detachment), reinvent the wheel (not knowing) or drift off into groundless personal reflection (self-expression)”.
Klag, M., & Langley, A. (2013). Approaching the Conceptual Leap in Qualitative Research. International Journal of Management Reviews, 15 (2), 149-166 DOI: 10.1111/j.1468-2370.2012.00349.x
Jay Wright Forrester was “an electrical engineer whose insights into both computing and organizations more than 60 years ago gave rise to a field of computer modeling that examines the behavior of things as specific as a corporation and as broad as global growth”, as the New York Times writes in an obituary. Forrester was a pioneer of systems dynamics, which “deals with how things change through time, which includes most of what most people find important”, as he once wrote. Forrester’s (1961) book Industrial Dynamics had a huge impact on the development of supply chain management. Herein, he studied “the behavior of industrial systems to show how policies, decisions, structure, and delays are interrelated to influence growth and stability”. His analysis of what we call “supply chain” today revealed an effect now known as the bullwhip effect – undoubtedly the single most important theory in supply chain management. Forrester died last week at his home in Concord, Massachusetts.
Forrester, J.W. (1961). Industrial Dynamics. ISBN 0262060035
What are the future dominant research themes in supply chain management? In my new article, Mapping the Landscape of Future Research Themes in Supply Chain Management, co-authored with Robert Handfield and Christian Durach and published in the Journal of Business Logistics, we make an attempt to answer this important question. Our research is based on survey data collected from 141 SCM scholars. Big data ranks 1st on the list of topics that scholars expect will become important in the next years. Interestingly, this topic does not even appear in the top 10 of the list of topics that scholars think should become important. This list is led by sustainability and risk management instead. We calculated the differences between the will-become-important and should-become-important topics. The largest discrepancies can be found for: (1) the “people dimension” of SCM, (2) ethical issues, (3) internal integration, (4) transparency/visibility, and (5) human capital/talent management. These five under-represented topics could thus be good choices for future research projects or special journal issues.
Wieland, A., Handfield, R., & Durach, C. (2016). Mapping the Landscape of Future Research Themes in Supply Chain Management. Journal of Business Logistics, 37 (3), 1-8 DOI: 10.1111/jbl.12131
If you don’t have access to the journal, please feel free to request a copy of the paper via ResearchGate (blue button on their page).
Each year, Emerald awards certificates to highly cited papers, hereby also taking into account the content of the papers (see my previous post). I identified five Citations of Excellence winners related to SCM this year: (1) Technology Designed to Combat Fakes in the Global Supply Chain by Li; (2) The Reduction of Greenhouse Gas Emissions from Freight Transport by Pooling Supply Chains by Pan, Ballot & Fontane; (3) Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool by Pettit, Croxton & Fiksel; (4) Closed-Loop Supply Chains: A Critical Review, and Future Research by Souza; and (5) Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management by Waller & Fawcett. All of these articles were selected from articles published in 2013. It can again be observed that articles dealing with sustainability or resilience seem to have a good chance to become highly cited, but also articles about innovative technologies turn out to be quite popular.
Li, L. (2013). Technology Designed to Combat Fakes in the Global Supply Chain. Business Horizons, 56 (2), 167-177 DOI: 10.1016/j.bushor.2012.11.010
Pan, S., Ballot, E., & Fontane, F. (2013). The Reduction of Greenhouse Gas Emissions from Freight Transport by Pooling Supply Chains. International Journal of Production Economics, 143 (1), 86-94 DOI: 10.1016/j.ijpe.2010.10.023
Pettit, T., Croxton, K., & Fiksel, J. (2013). Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool. Journal of Business Logistics, 34 (1), 46-76 DOI: 10.1111/jbl.12009
Souza, G. (2013). Closed-Loop Supply Chains: A Critical Review, and Future Research. Decision Sciences, 44 (1), 7-38 DOI: 10.1111/j.1540-5915.2012.00394.x
Waller, M., & Fawcett, S. (2013). Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. Journal of Business Logistics, 34 (2), 77-84 DOI: 10.1111/jbl.12010
Supply chain management has certainly become far more strategic in recent years. But does that mean that companies should have a chief supply chain officer (CSCO)? In their new article, titled The Appointment of Chief Supply Chain Officers to Top Management Teams, Roh, Krause & Swink (2016) aim to answer this question. Based on empirical data, they show that “financial leverage, internationalization, and diversification all predict CSCO appointment to the [top management team]” and that these contingencies also “positively moderate the effect of CSCO presence on firm performance”. Most importantly, appointing a CSCO makes sense when financial leverage, internationalization, and diversification levels are high, but it does not make sense when these levels are low. But companies should be fast now: The authors also reveal that “most of the contingency performance effects manifest only for early adopters of the CSCO role”. I am sure that CSCOs will soon be appointed in many companies.
Roh, J., Krause, R., & Swink, M. (2016). The Appointment of Chief Supply Chain Officers to Top Management Teams: A Contingency Model of Firm-level Antecedents and Consequences. Journal of Operations Management DOI: 10.1016/j.jom.2016.05.001
Like it or not: Our discipline is very much dominated by positivism and the application of the scientific method, which assumes that new knowledge can be created by developing and testing theory or, in other words, by induction or deduction. Another type of inference is abduction. Spens & Kovács (2006) present an overview of the deductive, inductive and abductive research processes.
Spens, K., & Kovács, G. (2006). A Content Analysis of Research Approaches in Logistics Research. International Journal of Physical Distribution & Logistics Management, 36 (5), 374-390 DOI: 10.1108/09600030610676259