here - ERIM - Erasmus Universiteit Rotterdam
here - ERIM - Erasmus Universiteit Rotterdam here - ERIM - Erasmus Universiteit Rotterdam
A validation Study of House of Quality key performance indicators 4.3.2 Kano Analysis The second part of the questionnaire (Appendix 7) consists of questions based on the Kano model. The Kano model (Kano, 1984) was developed to classify product or service attributes on how well they are able to satisfy the needs of the customer. Parallel to the items measured in the first part of the survey (SERVQUAL), the Kano model measures both the functional and dysfunctional forms of the attributes. In example, a functional form to measure will be “How do you feel when the online union offers you up to date information?”, whereas the dysfunctional form will be “How do you feel when the online union does not offer you up to date information?” For both questions the respondents were asked to answer one of the following 5 options “I enjoy it that way”, “I like it that way”, “I am neutral”, “I dislike it but can live with it that way”, “I dislike it and don’t accept it that way”. While our survey was conducted in Dutch the answer options were translated into respectively “Dat stel ik op prijs”, “Ik verwacht niet anders”, “Neutraal”, “Vervelend, maar kan ermee leven” and “Vervelend en onacceptabel”. The collected data from the functional and dysfunctional questions makes it possible to classify the attributes into one of the following Kano categories: attractive, one dimensional, must be, indifferent, questionable and reverse. In order to integrate the Kano categories into the House of Quality, the categories will have to be quantified. Therefore Tan and Pawitra (2001) developed an arithmetic method. For each functional and dysfunctional question the answers of the all respondents to each of the answer options were summed. The answer option with the highest sum results in the arithmetic and therefore determines the Kano category of a specific attribute. After this, all attributes can be presented into the matrix depicted in Appendix 3. As a result the classification of the attributes into Kano categories is presented in Figure - 12. From the classification presented in Figure - 12 we can conclude that the attributes “Third party involvement”, “Good online facilities” and “Custom made services” are classified in the category attractive. This indicates that these three attributes surprise and attract the customer when available. Implications of the Kano categories were discussed in section 2.5.2. In order to integrate the Kano classification of the attributes into the House of Quality, Tan and Pawitra (2001) add weightings to the different categories. The category ‘attractive’ will be multiplied by factor ‘4’, ‘one dimensional’ by factor ‘2’, ‘must-be’ by factor ‘1’ and ‘indifferent’ by factor ‘0.5’. 64
A validation Study of House of Quality key performance indicators 4.3.3 Data Collection House of Quality Figure - 12 Kano Categorization The SERVQUAL gaps of section 7.1 identified the differences between member’s expectations and current perceptions of the online union. With addition of the Kano model we were able to determine for which attributes improvements will be most critical. A limitation of the SERVQUAL model is that it only identifies gaps without addressing on how to close the identified gaps. By integrating both models into the House of Quality offers the opportunity to recommend on how to improve and innovate the services of the online union. As stated by Hauser and Clausing (1988) the method of quality function deployment focuses and coordinates different skills within the organization. First to design, secondly to manufacture and market the product or service. Therefore to optimize the results of QFD a cross functional team including members with different backgrounds and expertise is required (Griffin and Hauser, 1993). Data for the House of Quality was provided by the management team of the online union, consisting of three people. In this case all members have good knowledge of the current situation of the online union and the technical and financial options of the organization. In order to make sure the matrix of the House of Quality was well interpreted, a meeting was hold to explain the method. After this first session almost all required data was collected. A two-hour telephone meeting with the project manager completed the data collection for the House of Quality 65
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A validation Study of House of Quality key performance indicators<br />
4.3.2 Kano Analysis<br />
The second part of the questionnaire (Appendix 7) consists of questions based on the Kano model.<br />
The Kano model (Kano, 1984) was developed to classify product or service attributes on how well<br />
they are able to satisfy the needs of the customer. Parallel to the items measured in the first part of<br />
the survey (SERVQUAL), the Kano model measures both the functional and dysfunctional forms of<br />
the attributes. In example, a functional form to measure will be “How do you feel when the online<br />
union offers you up to date information?”, w<strong>here</strong>as the dysfunctional form will be “How do you feel<br />
when the online union does not offer you up to date information?” For both questions the<br />
respondents were asked to answer one of the following 5 options “I enjoy it that way”, “I like it that<br />
way”, “I am neutral”, “I dislike it but can live with it that way”, “I dislike it and don’t accept it that<br />
way”. While our survey was conducted in Dutch the answer options were translated into respectively<br />
“Dat stel ik op prijs”, “Ik verwacht niet anders”, “Neutraal”, “Vervelend, maar kan ermee leven” and<br />
“Vervelend en onacceptabel”.<br />
The collected data from the functional and dysfunctional questions makes it possible to classify the<br />
attributes into one of the following Kano categories: attractive, one dimensional, must be,<br />
indifferent, questionable and reverse. In order to integrate the Kano categories into the House of<br />
Quality, the categories will have to be quantified. T<strong>here</strong>fore Tan and Pawitra (2001) developed an<br />
arithmetic method. For each functional and dysfunctional question the answers of the all<br />
respondents to each of the answer options were summed. The answer option with the highest sum<br />
results in the arithmetic and t<strong>here</strong>fore determines the Kano category of a specific attribute. After<br />
this, all attributes can be presented into the matrix depicted in Appendix 3. As a result the<br />
classification of the attributes into Kano categories is presented in Figure - 12.<br />
From the classification presented in Figure - 12 we can conclude that the attributes “Third party<br />
involvement”, “Good online facilities” and “Custom made services” are classified in the category<br />
attractive. This indicates that these three attributes surprise and attract the customer when<br />
available. Implications of the Kano categories were discussed in section 2.5.2. In order to integrate<br />
the Kano classification of the attributes into the House of Quality, Tan and Pawitra (2001) add<br />
weightings to the different categories. The category ‘attractive’ will be multiplied by factor ‘4’, ‘one<br />
dimensional’ by factor ‘2’, ‘must-be’ by factor ‘1’ and ‘indifferent’ by factor ‘0.5’.<br />
64