• Title/Summary/Keyword: Importance values

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Parenting Values and Practices among Muslim Parents in Indonesia

  • Park, Hye-Jun;Yi, Soon-Hyung;Lee, Kang-Yi;Kim, Bo-Kyung;Park, Sae-Rom
    • Child Studies in Asia-Pacific Contexts
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    • v.2 no.2
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    • pp.109-122
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    • 2012
  • Despite the fact that Muslims are fast becoming part of the world population, they are the least known group. Moreover, Muslims have been seriously misunderstood and negatively perceived because of several tragic events related to terrorist attacks or wars in the Middle East countries. In this light, the current study examined how parenting values and practices varied by importance of religion, gender, and generation, based on the questionnaire data collected from 312 Muslim fathers and mothers living in Jakarta, Indonesia. The most salient result of this study was that the religion was at the center of everyday lives. The importance of religion in their lives clearly translated in their parenting styles by engaging in religious practices with their children. At the same time, Muslim parents in Indonesia had a high level of expectation for their children's education and making happy family life as well as being faithful as Muslim. This study contributed to promoting cultural sensitivity towards Muslims by examining Indonesian Muslim parents' parenting values and practices.

Consumption Value Effects on Shopping Mall Attributes: Moderating Role of On/Off-line Channel Type

  • Cha, Seong-Soo;Park, Cheol
    • Journal of Distribution Science
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    • v.15 no.6
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    • pp.5-12
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    • 2017
  • Purpose - This study is to investigate the effects of consumption values of retailers on the importance of store attributes, and to determine the influence on the consumption values of consumers who shop at complex shopping malls on the empirical and functional attributes in those malls as well as on the influence of on/off-line channels. Research design, data, and methodology - With 344 surveyed questionnaires, this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic value has more influence on the importance of empirical attribute than that of functional attribute in shopping malls. In addition, practical value has more influence on functional attributes than empirical properties of shopping malls. However, these relationships showed the difference in on/off-line channels. As for off-line channels, consumers' consumption values were more influential on empirical attributes, while functional attributes were more important in on-line channels Conclusions - This study analyzed the influence on the importance of the consumption values in store attributes, and the effects of each channel with suggesting practical implications.

An Analysis on the Measurement Items to Assess the Landscape Value of Agriculture and Fisheries Heritage (농어업유산의 경관가치를 측정하기 위한 평가항목 분석)

  • Choi, Woo-Young;Min, Byoung-Wook
    • Journal of Korean Society of Rural Planning
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    • v.20 no.4
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    • pp.89-99
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    • 2014
  • The purpose of this research is first, to define what measurement items in terms of subjective consideration and preference can be used to assess the landscape values of agriculture and fisheries heritage, and second, to understand the perceptive patterns particularly how landscape experts weigh up the importance of the each measurement item. In order to extract the measurement items, extensive literature review was performed including research documents as well as domestic and international policy reports. A survey targeting the experts was conducted to ask their opinions on the importance of the selected items. For the analysis, SPSS 20.0 for Windows was used to carry out reliability analysis, descriptive statistics such as arithmetic mean and frequency distribution, factor analysis, and multiple linear regression modeling. The results are: the importance value of the landscape values in agriculture and fisheries heritage was 4.1494; the ratio value that the experts perceived the importance was 87.2%; and the average of the importance value of the analyzed items was 3.71. All the items have more than 3.00. Ten factor groups were summarized and defined whose total explanation power was 67.86%. The factor groups were named as lyricism, authenticity, environmentally-friendliness, durability, recognizability, regionality, visibility, value of sightseeing, social image, and universality. The factors influencing the landscape values are, in order of importance, recognizability, authenticity, visibility, universality, durability, and nativeness. According to the analysis, however, environmentally-friendliness, regionality, value of sightseeing, and social image were not as important.

A Novel Approach for Mining High-Utility Sequential Patterns in Sequence Databases

  • Ahmed, Chowdhury Farhan;Tanbeer, Syed Khairuzzaman;Jeong, Byeong-Soo
    • ETRI Journal
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    • v.32 no.5
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    • pp.676-686
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    • 2010
  • Mining sequential patterns is an important research issue in data mining and knowledge discovery with broad applications. However, the existing sequential pattern mining approaches consider only binary frequency values of items in sequences and equal importance/significance values of distinct items. Therefore, they are not applicable to actually represent many real-world scenarios. In this paper, we propose a novel framework for mining high-utility sequential patterns for more real-life applicable information extraction from sequence databases with non-binary frequency values of items in sequences and different importance/significance values for distinct items. Moreover, for mining high-utility sequential patterns, we propose two new algorithms: UtilityLevel is a high-utility sequential pattern mining with a level-wise candidate generation approach, and UtilitySpan is a high-utility sequential pattern mining with a pattern growth approach. Extensive performance analyses show that our algorithms are very efficient and scalable for mining high-utility sequential patterns.

IPA and Purchasing Behavior Analysis on the Consumption Values of Rice Cakes (떡류 소비가치에 따른 구매행태 및 IPA 분석)

  • Min Sung Kim;Hee Reong Choi;Chun Young Sohn;Wan Soo Hong
    • Journal of the Korean Society of Food Culture
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    • v.38 no.6
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    • pp.415-424
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    • 2023
  • This study was undertaken to provide basic data to aid product development and marketing by identifying purchasing behaviors and performing Important Performance Analysis (IPA) according to the consumption values of rice cakes. This study was conducted on 426 consumers who purchased rice cakes. Analysis was performed to determine general characteristics, consumption behaviors, preference for rice cakes, material preferences for rice cake development, need for rice cake development, and importance and satisfaction when selecting rice cakes. Cluster analysis classified consumption values into three clusters. The high and middle consumption value groups contained the greatest proportions of consumers aged over fifty. The high and medium consumption value groups preferred rice cakes more than the low consumption value group. Higher rice cake consumption value was positively associated with the greater preference for rice cakes. Furthermore, the perceived need to develop rice cakes was greatest in the high consumption value group. In addition, importance and satisfaction were positively associated with consumption value. IPA analysis showed that the attributes that require continuous attention because of their contributions to importance and satisfaction were taste, quantity, and hygiene. Different rice cake marketing and product development strategies are required for different consumption values.

Community Structure of forest vegetation in Mt. Bislsan (비슬산(琵瑟山) 산림식생(山林植生)의 군락구조(群落構造))

  • Lee, Jung-Hyo;Suh, Seung-Hee;Hong, Sung-Cheon
    • Current Research on Agriculture and Life Sciences
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    • v.23
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    • pp.9-18
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    • 2005
  • Vegetation composition and structure of forest community at Mt. Bislsan, Dalseung-Gun, Daegu in Korea, were studied using a qualitative with a quantitative approach and its vegetation types and various ecological characteristics such as the importance values, species diversity of the major component species analyzed. The forest vegetation were classified into 2 community group, 14 community, 6 group, and total of 18 vegetation units. Pinus densiflora distributed mainly from lower at the sea level, while Quercus mongolica tended to distributed upper altitude in Physiognomical vegetation. the species diversity values showed mostly 0.8 and Quercus dentata, Quercus serrato and Cornus controversa Community and so on highly showed to 1.0 and 1.1. According to the results of importance value analysis, the I.V. of pinus densiflora and Quercus mongolica highly showed in the tree and subtree layer, and Rhododendron mucronulatum and Lindera obtusiloba and so on highly showed in the shrub.

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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 Longitudinal Study on the Effect of e-Commerce Technology Characteristics and Personal Value on Purchasing Behavior by Importance of Information Protection (전자상거래 기술특성과 개인가치가 정보보호 중요성에 의한 구매행동에 미치는 영향에 대한 종단적 연구)

  • Kim, Yeonjong;Park, Sanghyeok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.1
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    • pp.159-171
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    • 2017
  • The purpose of this study is to investigate the effects of e - commerce technology characteristics and personal values on purchasing behavior by information security importance. The results of the empirical study that examined the university students in 2006 and 2016 are as follows. First, personal value is centered on personal values, such as self - esteem and self - esteem in 2006. In 2016, however, personal values such as self - fulfillment and personal relationship with others are important. Transactional ease and product service serve as the main value of the fun and pleasure of life, but the sense of accomplishment as the core value of information protection. Second, the technical characteristics of e-commerce are as follows. In terms of ease of transaction and product service, technology characteristics are simplified and directly effected over time. On the other hand, information protection works very closely with individual value, There was a strong tendency to enjoy benefits. Especially in 2006, if you want to enjoy transactional convenience through transaction information security or benefit from product service, it has been changed to recognize the importance of information security through payment in 2016.

Clothing Values and Country of Origin of Clothing: A Comparision of Korea and England University Women (한국과 영국여대생들의 의복가치와 의복의 원산지 비교연구)

  • Song, Jung-A;Choo, Tae-Gue
    • Korean Journal of Human Ecology
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    • v.6 no.1
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    • pp.89-96
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    • 1997
  • The purpose of this study was to determine the clothing value, awareness of and concern about clothing's country of origin in Korea and England university women. University women in Korea and England were surveyed to determine the importance attributed to 32 descriptors defining 8 clothing values. Awareness of, and concern about, clothing's country of origin were determined mean-scores, t-test and $x^2$-analyses were done. A different rank order of importance for clothing values exists for both groups. The Korea sample rated aesthetic, economic, theorical, political, exploratory and sensory significantly higher and social, religious significantly lower than England sample. England sample appeared to be more aware, concerned about clothing's country of origin than Korea sample. More Korea women were able to recall country of origin. Over half Korea sample but less than 22% England sample recalled purchasing primarily domestic apparel.

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A patent analysis method for identifying core technologies: Data mining and multi-criteria decision making approach (핵심 기술 파악을 위한 특허 분석 방법: 데이터 마이닝 및 다기준 의사결정 접근법)

  • Kim, Chul-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.16 no.1
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    • pp.213-220
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    • 2014
  • This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.