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An introduction to the application of (case 1) best–worst scaling in marketing research

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  1. Huang, Lijuan & Mou, Jian & See-To, Eric W.K. & Kim, Jongki, 2019. "Consumer perceived value preferences for mobile marketing in China: A mixed method approach," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 70-86.
  2. Suellen Tapsall & Geoffrey N Soutar & Wendy A Elliott & Tim Mazzarol & Jennifer Holland, 2022. "COVID-19’s impact on the perceived risk of ocean cruising: A best-worst scaling study of Australian consumers," Tourism Economics, , vol. 28(1), pages 248-271, February.
  3. Aizaki, Hideo & Fogarty, James, 2023. "R packages and tutorial for case 1 best–worst scaling," Journal of choice modelling, Elsevier, vol. 46(C).
  4. Christian Wankmüller & Maximilian Kunovjanek & Robert Gennaro Sposato & Gerald Reiner, 2020. "Selecting E-Mobility Transport Solutions for Mountain Rescue Operations," Energies, MDPI, vol. 13(24), pages 1-19, December.
  5. Joseph F. Hair & Christian M. Ringle & Siegfried P. Gudergan & Andreas Fischer & Christian Nitzl & Con Menictas, 2019. "Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 115-142, April.
  6. David A. Hensher & Chinh Ho, 2016. "Identifying a behaviourally relevant choice set from stated choice data," Transportation, Springer, vol. 43(2), pages 197-217, March.
  7. Cooper, Bethany & Crase, Lin & Rose, John M., 2018. "Cost-reflective pricing: empirical insights into irrigators’ preferences for water tariffs," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
  8. Islam, Towhidul, 2014. "Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data," Energy Policy, Elsevier, vol. 65(C), pages 340-350.
  9. Ákos Münnich & Emese Vargáné Karsai & Jenő Nagy, 2022. "A real-time network-based approach for analysing best–worst data types," SN Business & Economics, Springer, vol. 2(1), pages 1-24, January.
  10. Katja Woelfl & Lutz Kaufmann & Craig R. Carter, 2023. "In the eye of the beholder: A configurational exploration of perceived deceptive supplier behavior in negotiations," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(2), pages 33-61, April.
  11. Glenk, Klaus & Eory, Vera & Colombo, Sergio & Barnes, Andrew, 2014. "Adoption of greenhouse gas mitigation in agriculture: An analysis of dairy farmers' perceptions and adoption behaviour," Ecological Economics, Elsevier, vol. 108(C), pages 49-58.
  12. Ochieng’, Brian J. & Hobbs, Jill E., 2016. "Incentives for cattle producers to adopt an E. Coli vaccine: An application of best–worst scaling," Food Policy, Elsevier, vol. 59(C), pages 78-87.
  13. Agnew, Scott & Dargusch, Paul, 2017. "Consumer preferences for household-level battery energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 609-617.
  14. Davis, Katrina J & Burton, Michael & Kragt, Marit E, 2016. "Discrete choice models: scale heterogeneity and why it matters," Working Papers 235373, University of Western Australia, School of Agricultural and Resource Economics.
  15. Qingmeng Tong & Lu Zhang & Junbiao Zhang, 2017. "Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
  16. Van Wyngaarden, Sarah & Anders, Sven M., 2021. "Canadian Farmer Policy and Agency Preferences in Agri-Environmental Best Management Practice Adoption," 2021 Annual Meeting, August 1-3, Austin, Texas 313851, Agricultural and Applied Economics Association.
  17. Hammerle, Mara & White, Lee V. & Sturmberg, Bjorn, 2023. "Solar for renters: Investigating investor perspectives of barriers and policies," Energy Policy, Elsevier, vol. 174(C).
  18. White, Mark H., 2021. "bwsTools: An R package for case 1 best-worst scaling," Journal of choice modelling, Elsevier, vol. 39(C).
  19. Shehely Parvin & Paul Wang & Jashim Uddin, 2016. "Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1199110-119, December.
  20. Lin Jia & Yuting Tan & Feiyu Han & Yi Zhou & Chu Zhang & Yufei Zhang, 2019. "Factors Affecting Chinese Young Adults’ Acceptance of Connected Health," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
  21. Lipovetsky, Stan & Conklin, Michael, 2014. "Finding items cannibalization and synergy by BWS data," Journal of choice modelling, Elsevier, vol. 12(C), pages 1-9.
  22. Marco A. Palma, 2017. "Improving the prediction of ranking data," Empirical Economics, Springer, vol. 53(4), pages 1681-1710, December.
  23. Suprehatin, By & Umberger, Wendy J. & Yi, Dale & Stringer, Randy & Minot, Nicholas, 2015. "Can Understanding Indonesian Farmers’ Preferences for Crop Attributes Encourage their Adoption of High Value Crops?," 2015 Conference, August 9-14, 2015, Milan, Italy 212057, International Association of Agricultural Economists.
  24. Roberto Sañudo & Eneko Echaniz & Borja Alonso & Rubén Cordera, 2019. "Addressing the Importance of Service Attributes in Railways," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
  25. Lipovetsky, Stan & Conklin, Michael, 2014. "Best-Worst Scaling in analytical closed-form solution," Journal of choice modelling, Elsevier, vol. 10(C), pages 60-68.
  26. Zander, Kerstin K., 2020. "Unrealised opportunities for residential solar panels in Australia," Energy Policy, Elsevier, vol. 142(C).
  27. Arias, Juan F. & Bachmann, Chris, 2022. "Quantifying the relative importance of rapid transit implementation barriers: Evidence from ecuador," Journal of Transport Geography, Elsevier, vol. 100(C).
  28. Jinhua Li & Fang Zhang & Shiwei Sun, 2019. "Building Consumer-Oriented CSR Differentiation Strategy," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
  29. Rasch, Carsten & Louviere, Jordan J. & Teichert, Thorsten, 2015. "Using facial EMG and eye tracking to study integral affect in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 14(C), pages 32-47.
  30. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
  31. PK Sarma, 2020. "Investigating Consumers Preference on Fresh Vegetables in Bangladesh: Best-Worst Scaling Approach," Agricultural Research & Technology: Open Access Journal, Juniper Publishers Inc., vol. 24(1), pages 15-23, March.
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