• Title/Summary/Keyword: importance coefficient

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Determining the Relative Importance of Quality Dimensions Using the Kano Model and IPA

  • Hae-Geun Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.4_1
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    • pp.759-769
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    • 2024
  • The Kano model, a two-dimensional quality theory, is widely used as a useful tool for measuring potential customer requirements by utilizing the concept of the Potential Customer Satisfaction Coefficient (PCSC). There is growing evidence that the PCSC, comprising the Potential Satisfaction Coefficient (PSC) and Potential Dissatisfaction Coefficient (PDC) and utilizing Kano's four quality dimensions (A, O, M, and I), can be particularly useful in determining the relative importance of quality characteristics in IPA. Despite prior studies utilizing the PCSC concept for characterizing importance, attempts to determine the relative significance among quality dimensions have been relatively scarce. This study aims to use PCSC and IPA to demonstrate which quality dimension is more significant than the others. The author analysed 32 Kano related articles, encompassing 34 cases, using IPA. The results indicate that the proposed equations are valid for assessing characteristic importance, with O or M is perceived as more important than A or I.

How to Determine Characteristic Importance for Product Success Using a Modified Potential Customer Satisfaction Coefficient in the Kano Model

  • Hae-Geun Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.4_1
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    • pp.769-780
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    • 2024
  • For an organization to survive and prosper, it is essential to continuously develop innovative products by proactively anticipating consumers' implicit requirements. The Kano model has become more useful since Sireli et al. (2007) and Tontini (2007) introduced a simple equation for determining the importance of characteristics by using the concept of Kano's Potential Customer Satisfaction Coefficient (PCSC). However, although several studies have utilized the PCSC concept to determine the importance of characteristics, it is surprising that the two equations have been accepted without any validation process. This study aims to propose a modified equation using PCSC and to conduct a validity test of the proposed equation, demonstrating its superiority over the previously suggested two equations, The author analysed 26 Kano related articles (27 cases), and the correlation coefficients were compared with those obtained from direct rating importance, which served as a comparative criterion. The results indicate that the proposed equation is valid for assessing characteristic importance and demonstrates significantly higher correlation coefficients with the direct method than those suggested by Tontini (2007) and Siireli et al. (2007). The proposed method offers advantages in terms of accuracy and survey duration over traditional methods that directly ask for relative importance (e.g., AHP by Saaty (1980)). Furthermore, the integration of the Kano model with IPA or QFD could enhance the accuracy and efficiency of research in determining the importance of characteristics.

Determining the Importance Values of Quality Attributes Using ASC (ASC를 이용한 품질특성의 중요도 결정)

  • Jang, Heung-Yeop;Song, HaeGeun;Park, Young T.
    • Journal of Korean Society for Quality Management
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    • v.40 no.4
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    • pp.589-598
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    • 2012
  • Purpose: Determination of the importance values of quality attributes is very important to integrate the Kano model with QFD. A new method to determine the importance values of quality attributes is proposed. Methods: ASC(Average Satisfaction Coefficient) is proposed in order to determine the importance values of quality attributes. To evaluate the effectiveness of ASC, a case study of modern TV sets is conducted, and the performance of ASC is compared with direct importance evaluation and AHP pairwise comparisons. Results: The result of ASC application is similar with those of direct importance evaluation and AHP pairwise comparison. Conclusion: ASC is an effective instrument to determine the importance values of quality attributes. It doesn't need a cumbersome process like AHP pairwise comparison, and can be calculated using the data for the conventional Kano model.

A Study on the Relative Importance of Quality Management Items through the Defect Analysis in the Landscape Construction Process (조경시설공사의 시공품질 분석을 통한 품질관리항목의 중요도 연구)

  • 이상석;최기수
    • Journal of the Korean Institute of Landscape Architecture
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    • v.25 no.3
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    • pp.1-11
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    • 1997
  • This study aims to estimate the relative importance of quality management items through the defect analysis in the landscape construction process. The RIQMI are decided by the defect coefficient and it's cause weight. The defect items in the landscape construction process were classified by 56 items based on the classification form of '96 landscape architectural construction standard and the cause pattern were categorized 4 types as design, material, construction, and environment factors. To analyze the defect coefficient and the aucse weight by defect, the researcher surveyed the questionnaires on the 103 engineers and the 31 experts on the landscape architectural construction. The result of this study are as follows. The relative importance by facilities pattern turn out to be much higher construction, material fator than design. environment factor in wood facilities, paving facilities, and steel facilities, the RIQMI is very high in timber crack, timber vending, faulty of timber against decay, welding faulty of steel facilities in material factor, and timber crack, faulty of timber against decay, finish faulty of steel facilities, welding faulty of steel facilities in construction factor.

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Determining the Importance of Quality Attributes with Kano's Model (카노모형을 고려한 품질특성 중요도 산정에 관한 연구)

  • Cho, Yong-Wook
    • Journal of the Korea Safety Management & Science
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    • v.15 no.2
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    • pp.217-221
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    • 2013
  • I suggest a new method to determine the importance values of quality attributes which use the satisfaction index and dissatisfaction index of customer in Kano's model. A case study of TV set are solved by the proposed method and the result is compared with AHP pairwise comparisons and ASC(Average Satisfaction Coefficient). The results of the proposed method is similar with those of AHP pairwise comparisons and ASC. The proposed method is an effective tool to determine the importance values of quality attributes to supplement existing research's shortcomings.

A Study on the Selection of Logistic Service Quality Priority with TOPSIS (TOPSIS방법을 이용한 물류서비스품질 우선순위 선정에 관한 연구)

  • Kim, Seok-Cheol;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.19 no.3
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    • pp.137-150
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    • 2017
  • Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

Estimation of Key Risk Management Factors for Construction Projects Based on Kano Model (Kano 모델 기반 건설프로젝트 핵심 리스크관리 요인 도출)

  • Cho, Jin-ho;Kim, Byung-Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.2
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    • pp.239-248
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    • 2022
  • Risks in construction projects are increasing remarkably due to recent changes in the construction environment. Active risk management is required to recognize risks as opportunities. The purpose of this study is to propose a risk management model of the importance determination method through comparative analysis using Kano model, Timko CSC (Customer Satisfaction Coefficient), and ASC (Average Satisfaction Coefficient). Based on previous studies, the validity of risk management factor determination is reviewed through a questionnaire modified Kano model through interviews with working-level workers using the Delphi technique. Through this, a suitable risk management model is presented by selecting key risk management factors recognized by domestic construction project practitioners. As a result of the study, the Kano model developed to verify risk management of construction projects was evaluated to be effective in verifying the risk management of practitioners. It is expected that the Kano model presented in this study will be actively used to verify the importance of risk management for construction projects.

Influencing Factors and Importance of Nurses' Caring Behaviors for Chronically Sick Elderly (노인 만성질환자 돌봄행위에 대한 간호사의 중요도 인지와 영향요인)

  • Kim, Chun-Gill
    • Korean Journal of Adult Nursing
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    • v.22 no.3
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    • pp.303-311
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    • 2010
  • Purpose: The purpose of this study was to investigate the importance of nurses' caring behaviors and to identify the factors influencing of nurses' caring behaviors. Methods: The participants were 404 nurses who were caring the chronically sick elderly in five H university hospitals. Data were collected through self-reported questionnaires on the importance of caring behaviors, nursing professional value and job satisfaction. Data were analyzed with descriptive statistics, t-test, ANOVA, Scheffe-test, Pearson's correlation coefficient and stepwise multiple regression with SPSS/WIN 16.0. Results: The average score for importance of nurses' caring behaviors was 3.38 and the 'professional knowledge and skill' factor was the highest level. The mean score of nursing professional value was 7.53 and job satisfaction, 3.18. Importance of nurses' caring behaviors had a significant positive correlation with nursing professional value, job satisfaction, nurse's age and work experience among demographic variables. Two significant variables influencing importance of nurses' caring behaviors were nursing professional value and job satisfaction. But characteristics of nurses did not influence. Conclusion: The findings of this study indicate that importance of nurses' caring behaviors can be improved by intervening factors affecting this importance. Based on the findings of this study, further nursing practice and nursing research for nurses caring the sick elderly should be focused on their nursing professional value and job satisfaction.

Analysis on Review Data of Restaurants in Google Maps through Text Mining: Focusing on Sentiment Analysis

  • Shin, Bee;Ryu, Sohee;Kim, Yongjun;Kim, Dongwhan
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.61-68
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    • 2022
  • The importance of online reviews is prevalent as more people access goods or places online and make decisions to visit or purchase. However, such reviews are generally provided by short sentences or mere star ratings; failing to provide a general overview of customer preferences and decision factors. This study explored and broke down restaurant reviews found on Google Maps. After collecting and analyzing 5,427 reviews, we vectorized the importance of words using the TF-IDF. We used a random forest machine learning algorithm to calculate the coefficient of positivity and negativity of words used in reviews. As the result, we were able to build a dictionary of words for positive and negative sentiment using each word's coefficient. We classified words into four major evaluation categories and derived insights into sentiment in each criterion. We believe the dictionary of review words and analyzing the major evaluation categories can help prospective restaurant visitors to read between the lines on restaurant reviews found on the Web.