The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Validating an innovative real-time Delphi approach - A methodological comparison between real-time and conventional Delphi studies
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
Petersen, M. A. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhn053 · Cited by 10,746
the delphi method: techniques and applications
Linstone, H. A., & Turoff, M. (1975) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 5,231
The Delphi technique: myths and realities
Powell, C. (2003) · Journal of Advanced Nursing · doi:10.1046/j.1365-2648.2003.02537.x · Cited by 2,584
The Delphi technique as a forecasting tool: issues and analysis
Rowe, G., & Wright, G. (1999) · International Journal of Forecasting · doi:10.1016/s0169-2070(99)00018-7 · Cited by 1,789
Current validity of the Delphi method in social sciences
Landeta, J. (2006) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2005.09.002 · Cited by 1,353
The Delphi method: Techniques and applications
Martino, J. P. (1976) · Technological Forecasting and Social Change · doi:10.1016/0040-1625(76)90035-4 · Cited by 1,347
Managing Delphi Surveys Using Nonparametric Statistical Techniques*
Schmidt, R. C. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01330.x · Cited by 1,141
Principles of Forecasting: A Handbook for Researchers and Practitioners
(2001) · International Series in Operations Research & Management Science · doi:10.1007/978-0-306-47630-3 · Cited by 1,041
Expert Opinions in Forecasting: The Role of the Delphi Technique
Rowe, G., & Wright, G. (2001) · International Series in Operations Research & Management Science · doi:10.1007/978-0-306-47630-3_7 · Cited by 777
Delphi: A reevaluation of research and theory
Rowe, G., Wright, G., & Bolger, F. (1991) · Technological Forecasting and Social Change · doi:10.1016/0040-1625(91)90039-i · Cited by 731
Turoff, M. (1970) · Technological Forecasting and Social Change · doi:10.1016/0040-1625(70)90161-7 · Cited by 597
The impact of ERP on supply chain management: Exploratory findings from a European Delphi study
Akkermans, H. A., Bogerd, P., Yücesan, E., & van Wassenhove, L. N. (2003) · European Journal of Operational Research · doi:10.1016/s0377-2217(02)00550-7 · Cited by 596
Principles of Forecasting. A Handbook for Researchers and Practitioners
Devezas, T. (2002) · Technological Forecasting and Social Change · doi:10.1016/s0040-1625(02)00180-4 · Cited by 517
Delphi: A brief look backward and forward
Linstone, H. A., & Turoff, M. (2011) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.09.011 · Cited by 500
RT Delphi: An efficient, “round-less” almost real time Delphi method
Gordon, T., & Pease, A. (2006) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2005.09.005 · Cited by 409
Scenarios for the logistics services industry: A Delphi-based analysis for 2025
von der Gracht, H. A., & Darkow, I.-L. (2010) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.04.013 · Cited by 249
Self-citationThe Delphi Study in Field Instruction Revisited: Expert Consensus on Issues and Research Priorities
Raskin, M. S. (1994) · Journal of Social Work Education · doi:10.1080/10437797.1994.10672215 · Cited by 224
The delphi technique: an exposition and application
Mitchell, V. W. (1991) · Technology Analysis & Strategic Management · doi:10.1080/09537329108524065 · Cited by 221
Tapio, P. (2003) · Technological Forecasting and Social Change · doi:10.1016/s0040-1625(01)00177-9 · Cited by 207
A novel approach to reducing uncertainty: The group Delphi
Webler, T., Levine, D., Rakel, H., & Renn, O. (1991) · Technological Forecasting and Social Change · doi:10.1016/0040-1625(91)90040-m · Cited by 190
A dissensus based online Delphi approach: An explorative research tool
Steinert, M. (2009) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2008.10.006 · Cited by 172
Participants' response to the Delphi method: An attitudinal perspective
Bardecki, M. (1984) · Technological Forecasting and Social Change · doi:10.1016/0040-1625(84)90006-4 · Cited by 164
von der Gracht, H. A., Vennemann, C. R., & Darkow, I. (2009) · Futures · doi:10.1016/j.futures.2009.11.023 · Cited by 157
Self-citationRowe, G., Wright, G., & McColl, A. (2004) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2004.03.004 · Cited by 153
Use of self-ratings to improve group estimates
Dalkey, N. C., Brown, B., & Cochran, S. W. (1970) · Technological Forecasting · doi:10.1016/0099-3964(70)90029-3 · Cited by 147
Supply Management Strategies for the Future: A Delphi Study
Ogden, J. A., Petersen, K. J., Carter, J. R., & Monczka, R. M. (2005) · Journal of Supply Chain Management · doi:10.1111/j.1055-6001.2005.04103004.x · Cited by 144
The Delphi Process in Marketing Decision Making
Jolson, M. A., & Rossow, G. L. (1971) · Journal of Marketing Research · doi:10.1177/002224377100800406 · Cited by 131
The impact of task characteristics on the performance of structured group forecasting techniques
Rowe, G., & Wright, G. (1996) · International Journal of Forecasting · doi:10.1016/0169-2070(95)00658-3 · Cited by 118
An Experiment in Delphi Estimation in Marketing Decision Making
Best, R. J. (1974) · Journal of Marketing Research · doi:10.2307/3151295 · Cited by 107
The construction of Delphi event statements
Salancik, J. R., Wenger, W., & Helfer, E. (1971) · Technological Forecasting and Social Change · doi:10.1016/s0040-1625(71)80004-5 · Cited by 97
Blind, K., Cuhls, K. E., & Grupp, H. (2001) · Technological Forecasting and Social Change · doi:10.1016/s0040-1625(00)00083-4 · Cited by 59
The selection of delphi panels for strategic planning purposes
Preble, J. F. (1984) · Strategic Management Journal · doi:10.1002/smj.4250050206 · Cited by 45
A Simple Univariate Outlier Identification Procedure Designed for Large Samples
Banerjee, S., & Iglewicz, B. (2007) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610910601161264 · Cited by 33
Delphi, political philosophy and the future
Strauss, H. J., & Zeigler, L. H. (1975) · Futures · doi:10.1016/0016-3287(75)90063-4 · Cited by 22
Cited by
Consensus measurement in Delphi studies
von der Gracht, H. A. (2012) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2012.04.013 · Cited by 1,831
Use of Delphi in health sciences research: A narrative review
Shang, Z. (2023) · Medicine · doi:10.1097/md.0000000000032829 · Cited by 657
Beiderbeck, D., Frevel, N., von der Gracht, H. A., Schmidt, S. L., & Schweitzer, V. M. (2021) · MethodsX · doi:10.1016/j.mex.2021.101401 · Cited by 642
Self-citationBelton, I., MacDonald, A., Wright, G., & Hamlin, I. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.07.002 · Cited by 474
The Delphi technique: Past, present, and future prospects — Introduction to the special issue
Rowe, G., & Wright, G. (2011) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2011.09.002 · Cited by 408
Metadata
- Authors
- Gnatzy, T., Warth, J., von der Gracht, H., & Darkow, I.-L.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 78
- Issue
- 9
- Pages
- 1681-1694
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2053728516
- Cited by
- 302
- References
- 34
- FWCI
- 38.58
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.