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The improvement of Kansei engineering by using the repertory grid technique

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Języki publikacji
EN
Abstrakty
EN
A customer-oriented approach to product development with particular consideration of emotions is represented by Kansei Engineering. Developed by Mitsuo Nagamachi, Kansei Engineering is characterized by the possibility to capture customer perceptions and to translate them into product features. In order to assess these perceptions, a semantic space is generated. For this purpose it is necessary to identify Kansei words that are gathered up through research in marketing concepts, scientific journals and service reports. This procedure though displays the disadvantage of not being able to identify all emotions referring to the investigated product. One way to improve the identification of Kansei words is Repertory Grid. The Repertory Grid technique makes it possible to gather unaltered perceptions through in-depth interviews from the direct interaction with customers. Thus, the interview phase of the Repertory Grid technique offers an improved approach to identify of Kansei words.
Twórcy
autor
  • Chair of Quality Management, Brandenburg University of Technology Cottbus, Germany
autor
  • Chair of Quality Management, Brandenburg University of Technology Cottbus, Germany
autor
  • Chair of Quality Management, Brandenburg University of Technology Cottbus, Germany
Bibliografia
  • [1] Nagamachi M., Lokman A.M., Innovations of Kansei Engineering, Boca Raton, CRC Press, 2011.
  • [2] Norman D.A., Technology First, Needs last: the Research-Product Gulf, Interactions, March/April, 38-42, 2010.
  • [3] Nagamachi M., Perspectives and the new trend of Kansei/affective engineering, The TQM Journal, 20 (4), 290-298, 2008.
  • [4] Schütte S., Engineering Emotional Values in Product Design (Dissertation, Linköpings universitet, Linköping, 2005.
  • [5] Nagamachi M., Kansei/Affective Engineering and History of Kansei/Affective Engineering in the World, In M. Nagamachi (Hrsg.), Kansei/Affective Engineering, 1-12, Boca Raton, CRC Press, 2011.
  • [6] Schütte S., Eklund J., Axelsson J., Nagamachi M., Concepts, methods and tools in Kansei engineering, Theoretical Issues in Ergonomics Science, 5 (3), 214-231, 2004.
  • [7] Barnes C., Childs T., Lillford S., Kansei/Affective Engineering for the European Fast-Moving Consumer Goods Industry, In M. Nagamachi (Hrsg.), Kansei/Affective Engineering, 253-274, Boca Raton, CRC Press, 2011.
  • [8] Lindberg A., First Impressions Last - A Kansei Engineering Study on Laminate Flooring at Pergo, Linköping, 2004.
  • [9] Huang M.-S., Tsai H.-C., Huang T.-H., Applying Kansei engineering to industrial machinery trade show booth design, International Journal of Industrial Ergonomics, 41 (1), 72-78, 2004.
  • [10] Ishihara S., Ishihara K., Nagamachi M., Sano M., Fujiwara Y., Naito M., Ozaki K., Developments of Home Electric Appliances with Kansei Ergonomics: SANYO cases: Kansei and Kinematic considerations on Washer-Dryer and Electric Shaver, 11th QMOD Conference, Quality Management and Organizational Development, Attaining Sustainability From Organizational Excellence to Sustainable Excellence, Helsingborg, 2008.
  • [11] Brachinger H.W., Ost F., Modelle mit latenten Variablen: Faktorenanalyse, Latent-Structure-Analyse und LISREL-Analyse, In L. Fahrmeir, W. Brachinger, A. Hamerle, G. Tutz (Hrsg.), Multivariate Statistische Verfahren (2. Aufl.), Berlin/New York, Walter de Gruyter, 1996.
  • [12] Nagamachi M., Statistical Analysis for Kansei/Affective Engineering, InM. Nagamachi (Hrsg.), Kansei/Affective Engineering, 53-140, Boca Raton, CRC Press, 2011.
  • [13] Bacher J., Pöge A., Wenzig K., Clusteranalyse. Anwendungsorientierte Einführung in Klassifikationsverfahren (3. Aufl.), München, Oldenbourg Wissenschaftsverlag, 2010.
  • [14] Zimbardo P.G., Gerrig R.J., Psychologie (18. Aufl.), München, Pearson Deutschland GmbH, 2008.
  • [15] Tursch P., Steinberg F., Woll R., A first step towards engineer-oriented adaption of the Repertory Grid Technique, Total Quality Management & Business Excellence, 25, 7-8, 734-749, 2014.
  • [16] Kelly G.A., The psychology of personal constructs (1, 2), Norton, New York, 1955.
  • [17] Fromm M., Beiträge zur Psychologie der persönlichen Konstrukte, Waxmann, Münster u.a., 1999.
  • [18] Curtis A.M.,Wells T.M., Higbee T., Lowry P.B., An Overview and Tutorial of the Repertory Grid Technique in Information Systems Research, Communications of the Association for Information Systems (CAIS), 23 (3), 37-62, 2008.
  • [19] Rosenberger M., Freitag M., Repertory Grid, In Kühl S., Strodtholz P., Taffertshofer A. (Hrsg.), Handbuch Methoden der Organisationsforschung, Quantitative und Qualitative Methoden, 477-497 VS Verlag für Sozialwissenschaften, Wiesbaden, 2009.
  • [20] Scheer J.W., Planung und Durchführung von Repertory Grid-Untersuchungen, In Scheer J.W., Catina A. (Hrsg.), Einführung in die Repertory Grid-Technik, Grundlagen und Methoden (Bd. 1), 24-40, Huber, München, 1993.
  • [21] Tan F.B., Hunter M.G., The Repertory Grid technique: A method for the study of cognition in Information Systems, In MIS Quartely, 26 (1), 39-57, 2002.
  • [22] Tursch P., Baumert K., Woll R., Repertory Grid - Potential for Requirements Management in the Quality Function Deployment - an Example of the German Smartphone Market, Transactions of the 24th Symposium on QFD, St. Augustine (USA), 2012.
  • [23] Griffin A., Hauser J.R., The Voice of the Customer, Marketing Science, 12 (1), 1-27, 1993.
  • [24] Steinberg F., Woll R., Damit der Ersteindruck stimmt - Wie wahrnehmungsbestimmende Merkmale greifbar werden, Qualität- und Zuverlässigkeit, 57 (12), 54-55, 2012.
  • [25] Fransella F., Bell R., Bannister D., A Manual for Repertory Grid Technique, 2. Auflage,Wiley, Chichester, 2004.
  • [26] Kamiske G.F., Brauer J.-P., Qualitätsmanagement von A bis Z. Wichtige Begriffe des Qualitätsmanagements und ihre Bedeutung, 7. Auflage, München, Hanser, 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f5eed5f8-996e-4bcf-81ae-fc1a7ae238fc
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