The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Understanding current and future issues in collaborative consumption: A four-stage Delphi study
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Citations
Cites
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: Making Sense of Consensus
Hsu, C.-C., & Sandford, B. A. (2007) · University of Massachusetts Amherst · doi:10.7275/pdz9-th90 · Cited by 4,500 · cited 1×
“…inhibitors to collaborative consumption are ...”; and Q3: “The most important developments to collaborative consumption in the next 10 years will be...” Hsu and Sandford (2007) suggest that the list of rated items can be reduced by focusing on those where more than 70% of respondents rated them…”
BackgroundPractical Assessment, Research & Evaluation, 2000-2001.
Rudner, L. M., & Schafer, W. D. (2001) · Practical assessment, research & evaluation · Cited by 3,905
The sharing economy: Why people participate in collaborative consumption
Hamari, J., Sjöklint, M., & Ukkonen, A. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23552 · Cited by 3,439
The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry
Zervas, G., Proserpio, D., & Byers, J. W. (2017) · Journal of Marketing Research · doi:10.1509/jmr.15.0204 · Cited by 2,376 · cited 1×
“In support of this claim, a recent working paper by Zervas et al. (2015) found that the impact of AirBnB on the hotel industry in Austin, Texas was significant, claiming 8-10% of revenue and pushing down prices of incumbents.”
BackgroundAccess-Based Consumption: The Case of Car Sharing: Table 1.
Bardhi, F., & Eckhardt, G. M. (2012) · Journal of Consumer Research · doi:10.1086/666376 · Cited by 2,015
(2011) · Choice Reviews Online · doi:10.5860/choice.48-5169 · Cited by 1,878
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
Möhlmann, M. (2015) · Journal of Consumer Behaviour · doi:10.1002/cb.1512 · Cited by 1,313
Identifying Software Project Risks: An International Delphi Study
Schmidt, R., Lyytinen, K., Keil, M., & Cule, P. (2001) · Journal of Management Information Systems · doi:10.1080/07421222.2001.11045662 · Cited by 1,252
Cited by
Benoit, S., Baker, T. L., Bolton, R. N., Gruber, T., & Kandampully, J. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.05.004 · Cited by 554
Sharing economy: A comprehensive literature review
Hossain, M. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102470 · Cited by 367
When the sharing economy becomes neoliberalism on steroids: Unravelling the controversies
Murillo, D., Buckland, H., & Val, E. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.05.024 · Cited by 330
Defining the Sharing Economy for Sustainability
Curtis, S. K., & Lehner, M. (2019) · Sustainability · doi:10.3390/su11030567 · Cited by 241
Acheampong, R. A., Siiba, A., Okyere, D. K., & Tuffour, J. P. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.102638 · Cited by 220
Metadata
- Authors
- Barnes, S. J., & Mattsson, J.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 104
- Pages
- 200-211
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2287227468
- Cited by
- 384
- References
- 37
- FWCI
- 75.14
- Type
- journal article
- Language
- en
- Open access
- green
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- Barnes, S. J., & Mattsson, J. (2016). Understanding current and future issues in collaborative consumption: A four-stage Delphi study. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2016.01.006
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.
