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Is there more information in best‐worst choice data?
4 references·16 citing·40 second hop
Is there more information in best‐worst choice data? (2009)Is there more information in best‐worst c…An international comparison of retail consumer wine choice (2009)An international comparison o…Using simulations from discrete choice experiments to measure consumer sensitivity to brand, region, price, and awards in wine choice (2005)Using simulations from discre…Global vs international involvement‐based segmentation (2002)Global vs international invol…Market Segmentation: Conceptual and Methodological Foundations (1997)Market Segmentation: Conceptu…COVID-19’s impact on the perceived risk of ocean cruising: A best-worst scaling study of Australian consumers (2022)COVID-19’s impact on the perc…The importance of wine attributes in an emerging wine-producing country (2020)The importance of wine attrib…How are personal values related to choice drivers? An application with Chinese wine consumers (2020)How are personal values relat…Confucianism: measurement and association with workforce performance (2018)Confucianism: measurement and…Is Mianzi the only Face of Chinese Consumers of Wine?: A Typology of Chinese Consumers of Imported Wine (2017)Is Mianzi the only Face of Ch…Importance of wine attributes: a South African Generation Y perspective (2017)Importance of wine attributes…Deterring deviant consumer behaviour: when ‘it’s wrong, don’t do it’ doesn’t work (2017)Deterring deviant consumer be…Best-Worst Scaling: Theory, Methods and Applications (2015)Best-Worst Scaling: Theory, M…Wine consumers’ preferences in Spain: an analysis using the best-worst scaling approach (2014)Wine consumers’ preferences i…Testing the robustness of best worst scaling for cross-national segmentation with different numbers of choice sets (2012)Testing the robustness of bes…Let’s See What They Have . . . (2012)Let’s See What They Have . . .Generation Y preferences for wine (2012)Generation Y preferences for …Determinants of restaurant's owners/managers selection of wines to be offered on the wine list (2011)Determinants of restaurant's …Valuing citizen and patient preferences in health: recent developments in three types of best–worst scaling (2010)Valuing citizen and patient p…What you see may not be what you get: Asking consumers what matters may not reflect what they choose (2009)What you see may not be what …Applying best‐worst scaling to wine marketing (2009)Applying best‐worst scaling t…Measuring Consumer Involvement Profiles (1985)Global strategy: An organizing framework (1987)Effects of loyalty program rewards on store loyalty (2015)Environmental consciousness of European consumers: A segmentation-based study (2019)Telling more than we can know: Verbal reports on mental processes. (1977)Stated choice methods analysis and applications (2000)Stated Choice Methods (2000)Quantifying effects of convenience and product packaging on consumer preferences and market share of seafood products: The case of oysters (2012)Consumer responses to elimination of overpackaging on private label products (2015)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons (2011)Why do early career teachers choose to remain in the profession? The use of best–worst scaling to quantify key factors (2013)A comparison of Best-Worst Scaling and Likert Scale methods on peer-to-peer accommodation attributes (2022)Assessing Measurement Invariance in Cross‐National Consumer Research (1998)Discrete Choice Methods with Simulation (2001)Sustainable Food Consumption: Exploring the Consumer “Attitude – Behavioral Intention” Gap (2006)Consumer Perception of Online Attributes in Circular Economy Activities (2020)The rise of best-worst scaling for prioritization: A transdisciplinary literature review (2024)The influence of wine attributes on region of origin equity: An analysis of the moderating effect of consumer's perceived expertise (2006)Wowing the millennials: creating brand equity in the wine industry (2006)The importance of packaging attributes: a conjoint analysis approach (2007)Consumer involvement and knowledge influence on wine choice cue utilisation (2017)Consumer wine knowledge: components and segments (2018)Consumers’ Preferences for Wine Attributes: A Best-Worst Scaling Analysis (2020)Conditional logit analysis of qualitative choice behavior (1972)Measuring the Involvement Construct (1985)Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)The relative influence of packaging, labelling, branding and sensory attributes on liking and purchase intent: Consumers differ in their responsiveness (2010)Mixed MNL models for discrete response (2000)Scoring the Icecap‐a Capability Instrument. Estimation of a UK General Population Tariff (2013)Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview (2016)Using Best–Worst Scaling to Investigate Preferences in Health Care (2016)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Firm resources and sustained competitive advantage (2004)Best-worst scaling: theory and methods (2014)Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software (2017)Consumer behaviour for wine 2.0: A review since 2003 and future directions (2012)Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation (2003)Testing measurement invariance of composites using partial least squares (2016)
this work references cited by second hop

References

  • 1997Market Segmentation: Conceptual and Methodological Foundations1,866 cited
  • 2005Using simulations from discrete choice experiments to measure consumer sensitivity to brand, region, price, and awards in wine choice530 cited
  • 2009An international comparison of retail consumer wine choice164 cited
  • 2002Global vs international involvement‐based segmentation99 cited

Cited by

  • 2015Best-Worst Scaling: Theory, Methods and Applications438 cited
  • 2010Valuing citizen and patient preferences in health: recent developments in three types of best–worst scaling272 cited
  • 2009Applying best‐worst scaling to wine marketing256 cited
  • 2009What you see may not be what you get: Asking consumers what matters may not reflect what they choose163 cited
  • 2012Testing the robustness of best worst scaling for cross-national segmentation with different numbers of choice sets114 cited
  • 2012Generation Y preferences for wine72 cited
  • 2012Let’s See What They Have . . .63 cited
  • 2014Wine consumers’ preferences in Spain: an analysis using the best-worst scaling approach38 cited
  • 2011Determinants of restaurant's owners/managers selection of wines to be offered on the wine list38 cited
  • 2017Importance of wine attributes: a South African Generation Y perspective

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31 cited
  • 2018Confucianism: measurement and association with workforce performance28 cited
  • 2017Deterring deviant consumer behaviour: when ‘it’s wrong, don’t do it’ doesn’t work27 cited
  • 2022COVID-19’s impact on the perceived risk of ocean cruising: A best-worst scaling study of Australian consumers26 cited
  • 2017Is Mianzi the only Face of Chinese Consumers of Wine?: A Typology of Chinese Consumers of Imported Wine19 cited
  • 2020The importance of wine attributes in an emerging wine-producing country12 cited
  • 2020How are personal values related to choice drivers? An application with Chinese wine consumers8 cited