A Delphi-based risk analysis — Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment

Identifying and assessing the potential impact and likelihood of future events, which might evolve into risks, are a prerequisite to identify future security challenges. In particular, risks associated with global supply chains are special since they involve a multitude of international stakeholders with different perspectives on security needs and measures. Therefore, it is essential to determine which techniques and instruments are best suited for risk assessment in complex and multi-organizational environments. The Delphi expert survey technique has proven to be a valuable instrument for long-term decision making support as well as foresight, and has a potential value for risk assessment. We contribute to this research strand and conduct a Delphi-based risk analysis. Our research concentrates on man-made risks in global supply chains which are particularly uncertain in terms of type, location, and affected supply chain partners and can therefore be classified as inherently “wicked” issues, i.e. issues that are multidimensional with often unpleasant outcomes. We illustrate that Delphi research makes a fivefold contribution to risk analysis by: (1) identifying and quantifying risks; (2) analyzing stakeholder perceptions and worldviews; (3) stimulating a global communication process; (4) identifying weak signals, outlier opinions, and wildcards; (5) and facilitating risk scenario development.     

Validating an innovative real-time Delphi approach - A methodological comparison between real-time and conventional Delphi studies

A novel and innovative real-time Delphi technique is introduced in order to address previously identified weaknesses of the conventional Delphi method, such as complicated facilitator tasks, lack of real-time presentation of results, and difficulties in tracking progress over time. We demonstrate how the real-time (computer-based) method increases the efficiency of the process, accommodates expert availability, and reduces drop-out-rates. Modifications in the Delphi procedure (e.g. change of iteration principle) not only increase efficiency but also change the nature and process of the survey technique itself. By identifying and analysing three individual effects (initial condition effect, feedback effect, and iteration effect) we examine whether the modifications in the survey process cause deviations to the survey results. Empirical data obtained from both conventional as well as real-time Delphi studies is analysed based on multiple statistical analyses. The research findings indicate that significant differences between the two Delphi survey formats do not exist and final survey results are not affected by changes in the survey procedure.     

Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study

In this paper, we present the findings of a web-based real-time Delphi study concerning the factors which will influence the future development of the transport infrastructure until the year 2030. Intensifying globalization, increased urbanization, ongoing shortages in public finances, and the requirements of a more demanding and growing world population are some of the challenges, which global transport will face. This research identifies, assesses, and integrates long-range developments of various factors, such as supply and demand, financing, competitiveness, and sustainability, which will affect the future of the transport industry and its infrastructure. Results are presented in a final probable scenario, which is divided into four different scenario aspects. Moreover, managerial and governmental implications for strategy and policy development are discussed.     

Foundations of logistics and supply chain research: a bibliometric analysis of four international journals

The purpose of this paper is to explore the current intellectual foundation of four leading academic journals within the field of logistics and supply chain management. We were interested to identify the most frequently quoted publications as well as their impact on logistics research. We examined 17,000 references of 412 papers and further analysed the 39 top-references with the means of multidimensional scaling (MDS), cluster- and factor analysis. We were able to identify a mix of textbooks and articles from academic journals and revealed a journal-specific citation pattern, not only in the choice of textbooks but also in the choice of referenced methodology papers. We were also able to identify citation streams and citation areas, where it was surprising to find so many general socio-scientific papers and general papers explaining the character of the field.