Improving the question formulation in Delphi‐like surveys: Analysis of the effects of abstract language and amount of information on response behavior

Markmann, Christoph; Spickermann, Alexander; Gracht, Heiko A. von der; Brem, Alexander

doi:10.1002/ffo2.56

Cited by 39 publications

(37 citation statements)

References 169 publications

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“…The workshop procedure was iterative, involving frequent rewording and reformulation of statements, discussion of expert panel argumentations, and changes in projection orders. For the final projection development, generally recognized formulation rules were used (Linstone and Turoff 1975; Markmann et al 2020; Mitchell 1996; Rowe and Wright 1999; Loveridge 2002). In this regard, further comments on scientific expressions were included to decrease the ambiguity (Rowe and Wright 1999; Loveridge 2002).…”

Section: Methodsmentioning

confidence: 99%

Digitalization and its Impact on the Future Role of SCM Executives in Talent Management – An International Cross‐Industry Delphi Study

Wehrle

Lechler

Gracht

et al. 2020

J of Business Logistics

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Business and EntrepreneurshipOpen access funding enabled and organized by Projekt DEAL. I n the field of supply chain management (SCM), attracting and developing appropriate talent is critical for achieving most SCM goals, as extensive skills are necessary to do the job properly. In order to ensure that future-proof talent can continue to emerge in this discipline, the role of SCM executives is extremely important. Although many studies have been conducted in the field of talent management (TM), the future role of SCM executives has been mostly neglected in research. The present empirical study addresses this gap, taking into consideration the fourth industrial revolution, as innovation in technology continues to drive significant changes in the SCM field. Aiming to investigate the extent to which increasing digitalization is influencing the future role of SCM executives, a Delphi study with 103 experts from industry, academics, and politics/associations was carried out. In order to identify meaningful topic clusters from the data, fuzzy c-means clustering was used. From an actor-network theory perspective, our results show that in some areas of TM, digitalization is leading to a strong fusion of SCM executives and digital technologies, as well as to a clear division of roles, in which either SCM leaders or technology will dominate in the future.

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Section: Methodsmentioning

confidence: 99%

Digitalization and its Impact on the Future Role of SCM Executives in Talent Management – An International Cross‐Industry Delphi Study

Wehrle

Lechler

Gracht

et al. 2020

J of Business Logistics

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“…1 ), which will be thoroughly explained in this paper. In this context, we provide a comprehensive overview of potential features and recent advancements in all three phases (see Table 1 , [5] , [6] , [17] , [23] , [26] , [28] , [30] , [31] , [37] , [39] , [41] , [46] , [55] , [57] , [67] , [64] , [65] , [79] , [85] ) and therefore complement and substantially extend recent methodic publications such as Schmalz et al. [80] .…”

Section: Methods Basics and Co-submitted Researchmentioning

confidence: 95%

“…The accurate wording of statements is central to the quality of Delphi studies as it can reduce biases and increase response variance [27 , 57] . Therefore, we conducted regular formulation and review sessions (17 iterations in total) with at least two participants (one permanent and four alternating research team members).…”

Section: Preparing a Delphi Study (Phase One)mentioning

confidence: 99%

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Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements

et al. 2021

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Delphi is a scientific method to organize and structure an expert discussion aiming to generate insights on controversial topics with limited information. The technique has seen a rise in publication frequency in various disciplines, especially over the past decades. In April 2021, the term Delphi method yielded 28,200 search hits in Google Scholar for the past five years alone. Given the increasing level of uncertainty caused by rapid technological and social change around the globe, collective expert opinions and assessments are likely to gain even more importance. Therefore, the paper at hand presents technical recommendations derived from a Delphi study that was conducted amid the outbreak of the COVID-19 pandemic in 2020. The paper comprehensively demonstrates how to prepare, conduct, and analyze a Delphi study. In this regard, it combines several methodological advancements of the recent past (e.g., dissent analyses, scenario analyses) with state-of-the-art impulses from other disciplines like strategic management (e.g., fuzzy clustering), psychology (e.g., sentiment analyses), or clinical trials (e.g., consensus measurement). By offering insights on the variety of possibilities to exploit Delphi-based data, we aim to support researchers across all disciplines in conducting Delphi studies and potentially expand and improve the method's field of application.

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“…Most “lessons learned” papers were published around 2011, and fewer have been published in the last five years [5] , [19] , [21] . Others focus on specific steps in the process, such as the panelists’ selection [35] , or the Delphi questionnaire [33] . However, much has changed in recent years, with modifications to the Delphi technique, including improvements to data analytics, the application of classic theories to development of projections, and tools to support qualitative text analysis of panelists’ comments.…”

Section: Methods Details and Co-submitted Researchmentioning

confidence: 99%

Lessons Learned from a Two-Round Delphi-based Scenario Study

2021

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The Delphi technique is a suitable methodology for structuring group communication to answer current and prospective research questions within several rounds. The method is used in many disciplines and characterized by anonymity, iteration, controlled feedback, and statistical “group response” (Rowe & Wright, 2001). This technical paper presents practical details and lessons learned from a two-round Delphi-based scenario study in which projections (Delphi statements, questions or hypotheses) were developed with findings from expert interviews and an expert workshop. This Delphi study provides answers to future-related questions for which other research methods are inappropriate. This is depicted as a five-step process, making it easy to follow and replicable, for example to help first-time Delphi-method researchers. In doing so, the authors aim to provide the community with valuable technical insights and guidance for studies applying the Delphi technique both to prospective questions and in other research settings. Conducting a Delphi study can be a slow process with respect to receiving feedback from the panelists. Planning an appropriate period for distributing the questionnaire may produce a higher return rate. A sufficient time buffer should be incorporated into project planning. Projections that create dissent among the panelists may provide valuable results. Data analytics, software programs and online social networks can support researchers, save time and resources, and provide further insights in the process of conducting a Delphi study.

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Improving the question formulation in Delphi‐like surveys: Analysis of the effects of abstract language and amount of information on response behavior

Cited by 39 publications

References 169 publications

Digitalization and its Impact on the Future Role of SCM Executives in Talent Management – An International Cross‐Industry Delphi Study

Digitalization and its Impact on the Future Role of SCM Executives in Talent Management – An International Cross‐Industry Delphi Study

Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements

Lessons Learned from a Two-Round Delphi-based Scenario Study

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