Department of Management

Verbal and pictorial representations of beverage consumption patterns: The wall of pictures protocol

Research output: Contribution to book/anthology/report/proceedingBook chapterResearchpeer-review

  • Stéphane Ganassali, University of Savoie, France
  • Jean Moscarola, University of Savoie, France
  • Anne Sophie Mestrallet, University of Savoie, France
  • Renate Buber, Vienna University of Economics and, Austria
  • Pirjo Laaksonen, University of Vaasa, Finland
  • Katarina Hellén, University of Vaasa, Finland
  • Klaus G Grunert
  • Jacob Rosendahl Heiss, Denmark
  • Antonella Zucchellac, University of Pavia, Italy
  • Paola Cerchiello, University of Pavia, Italy
  • Birgit Hagen, University of Pavia, Italy
  • Klaus Peter Wiedmann, University of Hannover, Germany
  • Stefan Behrens, University of Hannover, Germany
  • Nadine Hennigs, University of Hannover, Germany
After a first section dedicated to the discussion of the methodological foundations
of the image-based research protocols, the chapter introduces the “wall of pictures”
protocol. The authors first present the preparation of instrument, the validity
check, and the textual data coding process. In the final paragraphs, a large range
of descriptive, bivariate, and multivariate analyses is successively presented, and
thanks to a combination of innovative technological devices, the wall of pictures
outcomes has shown some promising perspectives. Triangulation opportunities are
particularly promoted thanks to the combination of quantitative measurements with
textual and/or pictorial variables.
Original languageEnglish
Title of host publicationConsumption culture in Europe : Insight into the beverage industry
EditorsCarmen R. Santos, Stéphane Ganassali, Francesco Casarin, Pirjo Laaksonen, Hans Ruediger Kaufmann
Place of publicationUnited States of America
PublisherIGI global
Publication year2013
Pages116-165
Chapter4
ISBN (print)978-1-4666-2859-5
ISBN (Electronic)978-1-4666-2858-8
DOIs
Publication statusPublished - 2013

    Research areas

  • MAPP

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