Kano모형을 기반으로 한 스마트 카 기능의 고객 만족도 분석 : 유사 연구사례의 비교를 중심으로
Customer Satisfaction Analysis of Smart Car Features Using the Kano Model : a Comparative Analysis of Similar Research Cases
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Purpose: This study aims to analyze why surveys of a single set of customer requirement result in different Kano analyses depending on the survey questionnaire designs. Methods: This study singled out 14 common features from four different questionnaires of two studies of Smart Car features and analyzed them using the Kano model. Several methods and devices were used: Group Comparison and Timko Index were applied; Kano Distribution Index, Timko Dispersion and Kano Conformity were newly introduced for the quantitative analysis; Correlations between Timko indices from different Kano questionnaires were conducted; Heuristic Splitting technic for reinforcing attribute categorization is introduced. Results: Correlation Coefficient proved strong positive relations among the three questionnaires, whose agreement degree of the resulting Kano attributes showed less than 10% when Indifferent was ignored. Heuristic Splitting on Timko charts enhanced the degree of the resulting Kano attributes up to 80%. Conclusion: Among the questionnaires the representation of customer requirements tends to move by parallel shifts on the Timko chart maintaining their relative locations. Heuristic Splitting suggests a rational solution to the interpretation of those inexplicable attribute categories resulting from traditional Kano methods.
Abstract
Purpose: This study aims to analyze why surveys of a single set of customer requirement result in different Kano analyses depending on the survey questionnaire designs. Methods: This study singled out 14 common features from four different questionnaires of two studies of Smart Car features and analyzed them using the Kano model. Several methods and devices were used: Group Comparison and Timko Index were applied; Kano Distribution Index, Timko Dispersion and Kano Conformity were newly introduced for the quantitative analysis; Correlations between Timko indices from different Kano questionnaires were conducted; Heuristic Splitting technic for reinforcing attribute categorization is introduced. Results: Correlation Coefficient proved strong positive relations among the three questionnaires, whose agreement degree of the resulting Kano attributes showed less than 10% when Indifferent was ignored. Heuristic Splitting on Timko charts enhanced the degree of the resulting Kano attributes up to 80%. Conclusion: Among the questionnaires the representation of customer requirements tends to move by parallel shifts on the Timko chart maintaining their relative locations. Heuristic Splitting suggests a rational solution to the interpretation of those inexplicable attribute categories resulting from traditional Kano methods.
참고문헌 (13)
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