• Title/Summary/Keyword: park attributes

Search Result 984, Processing Time 0.027 seconds

Determination of Priority for Improvement Using the Theory of Two-dimensional Quality (품질의 이원론을 이용한 개선의 우선순위 결정)

  • Song, Hae Geun
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.36 no.1
    • /
    • pp.70-77
    • /
    • 2013
  • The theory of two-dimensional quality, in particular, the Kano model that is developed by the analogy with the M-H theory, has been applied in various industry fields for more than three decades. Importance-Performance Analysis (IPA) assumes that the degree of physical fulfilment of quality attributes and the satisfaction of that attribute is linear, and therefore, it is applicable to the traditional one-dimensional attribute, not other quality types defined in the Kano's model such as attractive or must-be attribute. To solve this problem, the current study suggests a new importance-satisfaction analysis using a modified IPA in accordance with the three quality types and a diagonal method introduced by Slack (1999) to determine improvement priority. For this, I investigated 19 smartphone's quality attributes and conducted a survey of 334 university students for the results of Kano's model, which adopted from Song and Park (2012)'s study, and the importance/satisfaction of the quality attributes and the results of the priority for improvement of the 19 quality attributes. The results show that the proposed I-S priority model is better than the conventional IPA based on the comparison results of determination coefficient from the regression analysis of the two models.

Attributes of the metaverse and consumers' perceived values of fashion brands in virtual spaces (패션 브랜드 가상공간에서 메타버스의 속성과 소비자의 지각된 가치)

  • Shinyoung Park;Su-yun Shin
    • The Research Journal of the Costume Culture
    • /
    • v.32 no.3
    • /
    • pp.321-333
    • /
    • 2024
  • This study aims to investigate how consumers perceive the attributes (ubiquity, continuity) of metaverse fashion brands in a virtual space. It also empirically verifies the impact on consumers' perceived values (hedonic value, social value) and consumer behavioral intentions (intention to use the platform, intention to purchase virtual products). The results verified in this study are as follows: First, we confirmed that the metaverse attributes perceived by consumers in the virtual space of the fashion brand, ubiquity and daily extension, positively affect customers' perceived hedonic and social values. Second, we found that consumers' perceived hedonic and social values have a significant positive effect on their intention to use the platform. Finally, we found that consumers' intention to use the platform had a significant positive effect on their intention to purchase virtual products. The results of this study will have academic significance by expanding the scope of research related to identifying metaverse attributes and values by identifying metaverse attributes and consumer values that perceived by consumers in fashion brands' virtual spaces in the metaverse. This study suggests a direction and strategy for fashion brands to move forward in building virtual spaces on the metaverse platform. In this way, they can create perceived value for consumers that elicits positive consumer behavioral intentions.

Discretization of Continuous-Valued Attributes considering Data Distribution (데이터 분포를 고려한 연속 값 속성의 이산화)

  • Lee, Sang-Hoon;Park, Jung-Eun;Oh, Kyung-Whan
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.13 no.4
    • /
    • pp.391-396
    • /
    • 2003
  • This paper proposes a new approach that converts continuous-valued attributes to categorical-valued ones considering the distribution of target attributes(classes). In this approach, It can be possible to get optimal interval boundaries by considering the distribution of data itself without any requirements of parameters. For each attributes, the distribution of target attributes is projected to one-dimensional space. And this space is clustered according to the criteria like as the density value of each target attributes and the amount of overlapped areas among each density values of target attributes. Clusters which are made in this ways are based on the probabilities that can predict a target attribute of instances. Therefore it has an interval boundaries that minimize a loss of information of original data. An improved performance of proposed discretization method can be validated using C4.5 algorithm and UCI Machine Learning Data Repository data sets.

Brand Attributes Related to the Perceived Brand Authenticity (소비자의 브랜드 진정성 지각과 관련된 브랜드 속성)

  • Kim, Sang-Hoon;Park, Hyun Jung;Lee, Eun Young
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.11
    • /
    • pp.398-410
    • /
    • 2014
  • The purpose of this study is threefold. Firstly, what are some attributes of brands that affect perceived authenticity of brands? Secondly, how do the product characteristics such as public goods and private goods change the impacts of attributes on the perceived authenticity of brands? Thirdly, does the perceived authenticity influence consumers' brand attitude and mediate the relationship between brand attributes and the brand attitude? With regard to the role of authenticity in performance of marketing, the authors examined the relationship between the perceived authenticity and brand attitude. The study expands understanding of the relationship between brand attributes and authenticity while at the same time answering the call for further studies on the role of the perceived authenticity in improving brand attitude. The finding also demonstrates that the influence of attributes could be different depending on product categories.

A Method of Extracting Significant Design Attributes using PRETREE Model (PRETREE 모형을 이용한 중요 디자인 속성 추출 방법)

  • Lee, Yuri;Park, Sang-June
    • Science of Emotion and Sensibility
    • /
    • v.15 no.4
    • /
    • pp.565-574
    • /
    • 2012
  • This study focuses on a consumer-based design process that overcomes practical drawbacks of the previously used design process. On the contrary of the existing method of attracting design attributes by designers' own insights, it present the PRETREE model that attracts the important design attributes of the products based on consumer preferences. The PRETREE model has the advantage that it does not require identifying design attributes a priori. For the wire-wireless telephones, this study presents the identifying process the important design attributes empirically using PRETREE Model. The PRETREE Model has been widely used in the fields of psychology, consumer science, economics and business administration. It might also be useful in the design field because it can identify the important design attributes objectively without designers' own insights.

  • PDF

The Analysis of Characteristic Achievement of TIMSS 2011 G8 High-Performing Countries According to the Mathematics Cognitive Attributes (수학 인지적 속성에 따른 TIMSS 2011 8학년 성취도 상위국 특성 비교)

  • Park, Ji Hyun;Kim, Soojin
    • Journal of Educational Research in Mathematics
    • /
    • v.25 no.3
    • /
    • pp.303-321
    • /
    • 2015
  • This research purposes to find out the mathematical cognitive characteristics of Korean students and compare it with that of TIMSS 2011 high-achieving countries based on the Cognitive Diagnostic Theory. Based on framework and questions of TIMSS 2011, we select cognitive attributes. Using the data of 8th grade students' mathematical achievement in TIMSS 2011, we compare and analyze the top 15-countries students' cognitive traits. As a result, cognition domain of TIMSS 2011 is reclassified as 9 cognitive attributes. we could distinguish between easy attributes and difficult attributes that students in each country relatively think. Especially, Students of Korea relatively think Recall/Recognize, Compute, Classify/Measure and Represent are easy. On the other hand, relatively they have difficulties in Retrieve, Implement, and Generalize. Based on this research result, It is necessary to establish an educational measures for each attributes which students have difficulties.

E-loyalty formation process and satisfaction for apparel products (의류제품의 E-충성도 형성 과정과 소비자만족)

  • Park, Eun Joo;Kim, Sae Hee
    • Korean Journal of Human Ecology
    • /
    • v.21 no.6
    • /
    • pp.1185-1198
    • /
    • 2012
  • The purposes of this study were to investigate the relationships between e-loyalty formation process and satisfaction for apparel products by testing the research model developing upon prior researches, and to analyze the differences of the structural model between two groups (high satisfaction group and low satisfaction group). A total of 356 respondents participated through a convenience sampling at universities in Busan. Data were analyzed by a structural equation model analysis. The results were as followings: First, for the structural model, the attributes of shopping malls (e.g., e-store attributes and product attributes) affected consumer satisfaction which influenced the e-loyalty of shopping malls, mediated by value perception. Second, high-satisfaction group evaluated more importantly the attributes of shopping malls, higher perceived the value of products and web sites, more satisfied the mall, and had greater loyalty of online shopping malls than low-satisfaction group. Third, there were significant differences between high-satisfaction group and low-satisfaction group in the e-loyalty model for apparels. Specifically, for high-satisfaction group, the e-store attributes were more likely to influence the value perception of products and web sites than low-satisfaction group, while low-satisfaction group was the higher perceived the value of products, the more they satisfied and then the greater e-loyalty respectively. According to the findings, the implications and future suggestions related to e-loyalty of shopping malls for apparels are provided.

Effects of Shopping Value, Fashionb Shopping Mall Attributes, Emotions and Purchasing Intention on Purchasing Behavior in Internet Fashion Shopping Malls (인터넷 패션 쇼핑몰에서 쇼핑가치, 인터넷 패션 쇼핑몰 속성, 감정 및 구매의도가 구매여부에 미치는 영향)

  • Park, Eun-Joo;Kang, Eun-Mi
    • Journal of the Korean Home Economics Association
    • /
    • v.43 no.7 s.209
    • /
    • pp.117-128
    • /
    • 2005
  • The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

Investigation of the Relative Importance and Optimal Utility on Choice Attributes of Fermented Milk (국내산 발효유 선택속성의 상대적 중요도 및 최적효용 도출)

  • Park, Moon-kyung
    • Journal of the Korean Society of Food Culture
    • /
    • v.34 no.6
    • /
    • pp.719-725
    • /
    • 2019
  • This study examined the relative importance and the effective utility of fermented milk by consumers. The questionnaire was developed by an in-depth interview and literature review and was surveyed on-line. Statistical analysis was carried out descriptive analysis, ANOVA, paired t-test, and conjoint analysis using the SPSS package. First, an analysis of the consumption status of fermented milk found that the consumption frequency was 1-2 times/week (36.2%), 3-4 times/week (26.5%). The product choice attributes of fermented milk were found to be the same with 'taste' (3.93) and 'manufacturing date/expired date' (3.92), rated the highest, followed in order by, 'sanitary quality' (3.82), 'origin of ingredient' (3.81). Comparative analysis of the importance and satisfaction level of the choice attributes of fermented milk showed that the choice attributes with lower satisfaction compared to importance were 'taste', 'nutrients', 'manufacturing data/expired date', 'sanitation quality', 'price', 'manufacturing method' and 'certification of quality' (p<0.001, p<0.01). 'Price' and 'certification of quality' were the choice attributes of fermented milk classified as 'Focus Here' because of its high importance and low satisfaction. The preferred combination of relative importance in choice attributes of the fermented milk was 'domestic resource', 'Eat with spoon', and 'none additives'. Therefore, it is believed that sales will increase if dairy companies can improve the 'price' and 'certification of quality'. In addition, the use of domestic ingredients in the development of new fermented milk products in the future could be an important marketing factor in consumer choice.

A Methodological Approach on the Evaluation of Patient Satisfaction: Focused on the Importance Performance Analysis(IPA) (환자만족도 평가에 대한 방법론적 접근: IPA기법을 중심으로)

  • Park, Jae-San
    • Health Policy and Management
    • /
    • v.18 no.3
    • /
    • pp.1-17
    • /
    • 2008
  • The measurement and management of patient satisfaction has become one of the key issues in the last two decades. Hospitals must thoroughly understand the needs of their customers and design products and health services that meet and exceed their expectations. The importance-performance analysis(IPA) is a widely used analytical technique that yields strategies for managing customer satisfaction in a variety of applications. IP A is a two-dimensional grid based on customer-perceived importance of quality attributes and attribute performance. Depending on the interplay of these two dimensions, four strategies can be derived. The aim of this study is to develop the management strategies for improving patient satisfaction in university hospitals using the I-P analysis. The attributes on inpatient service quality in 4 university hospitals was investigated using the Martilla and James(l977)' s a mean adjusted I-P grid where the axes of the grid cross at the average rating point of all items. The patient satisfaction questionnaires were completed by 600 hospital inpatients. The main statistical methods are path analysis and IPA with SPSS 12.0 and AMOS 4.0 statistical softwares. The two attributes, physician and medical service, administrative staff kindness attributes position in first quadrant(Keep Up the Good domain). The nurse and nursing service attributes position in second quadrant(Possible Overkill domain). The two attributes, convenience of check-in service, facilities and physical environment position in third quadrant(Low Priority domain). Finally the quality of inpatient service(food etc.) attributes position in fourth quadrant(Concentrate Here domain). These findings show various implications on the development of strategies in university hospitals in the future. It was determined that quality of inpatient service(food etc.) need to concentrate more on investments. These investments include a taste, price, proper provision of food service and quick response of pain management. A low priority was given to investment in streamlining the check-in process of inpatient and hospital facilities and physical environment in the long run.