• Title/Summary/Keyword: selected attributes

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A Study on the Effect of China Consumer's Restaurant Selection Attributes, Customer Satisfaction and Customer Loyalty - Focusing on Korea and China Restaurants in China - (중국 내 외식 소비자의 외식업체 선택 속성이 고객 만족과 고객 충성도에 미치는 영향에 관한 연구 - 한식당과 자국 식당 간의 비교 분석을 중심으로 -)

  • Moon, Sung-Sik;Kang, Byung-Nam;Jeon, Jeong-Won
    • Culinary science and hospitality research
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    • v.16 no.5
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    • pp.79-91
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    • 2010
  • The purpose of this study is to investigate selection attributes of Korea and China restaurants in China. By a convenience sampling method, total 479(245 China restaurants and 234 Korea restaurants) useable data were selected. Multiple statistical methods(factor analysis, reliability analysis, T-test, multiple regression) were used to analyze the data. The results are as follows: First, restaurant satisfaction is affected by selection restaurant attribute factors. Second, restaurant satisfaction bas a significant impact on customer loyalty. Third, Korea and China restaurants have differences in customer satisfaction. Fourth, Korea and China restaurants have differences in customer loyalty.

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A Method for Deriving an Optimal Product Feature Configuration Considering Feature Interaction (상호작용을 고려한 최적의 제품휘처형상 도출 방법)

  • Lee, Kwanwoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.115-120
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    • 2014
  • Many product line engineering methods use the feature model to structure commonality and variability among products in terms of features and to derive a product feature configuration, which is the set of features required for the development of a product. Features to be selected during product derivation are mainly determined based on the quality attributes required for a product. Most methods published so far derived an optimal product feature configuration through linear co-relationship between features and quality attributes. However, the co-relationship between features and quality attributes can be formulated as a non-linear function because of feature interactions. This paper proposes a method that derives an optimal product feature configuration considering feature interactions. Four product line cases are used to validate the proposed methods.

Defining the Concept of Primary Care in South Korea Using a Delphi Method: Secondary Publication (델파이법을 이용한 일차의료 개념정의: 이차출판)

  • Lee, Jae Ho;Choi, Yong-Jun;Volk, Robert J.;Kim, Soo Young;Kim, Yong Sik;Park, Hoon Ki;Jeon, Tae-Hee;Hong, Seung Kwon;Spann, Stephen J.
    • Health Policy and Management
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    • v.24 no.1
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    • pp.100-106
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    • 2014
  • Background: There is no consensus on the definition of primary care in South Korea. This study's objective was to define the concept of primary care using a Delphi method. Methods: Three expert panels were formed, consisting of 16 primary care policy researchers, 45 stakeholders, and 16 primary care physicians. Three rounds of voting, using 9-point appropriateness scales, were conducted. The first round involved rating the appropriateness of 20 previously established attributes of primary care. In the second round, panelists received a summary of the first-round results and were asked to once again vote on the 10 undetermined attributes and the provisional definition. The final round involved voting on the appropriateness of the revised definition. The Korean Language Society reviewed the revised definition. Results: Four core (first-contact care, comprehensiveness, coordination, and longitudinality) and three ancillary (personalized care, family and community context, and community base) attributes were selected. The Korean definition of primary care was accomplished with all three panel groups arriving at a 'very good' level of consensus. Conclusion: The Korean definition of primary care will provide a framework for evaluating performance of primary care in South Korea. It will also contribute to resolving confusion about the concept of primary care.

Comparison of Quality Traits of Thigh Meat from Korean Native Chickens and Broilers

  • Jung, Yeon-Kuk;Jeon, Hee-Jun;Jung, Samooel;Choe, Jun-Ho;Lee, Jun-Heon;Heo, Kang-Nyeong;Kang, Bo-Seok;Jo, Cheo-Run
    • Food Science of Animal Resources
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    • v.31 no.5
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    • pp.684-692
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    • 2011
  • The quality attributes of thigh meat from a certified meat-type commercial Korean native chicken (WoorimatdagTM, WM) and a commercial broiler (Ross, CB) raised under the same environmental conditions, were compared. One-d-old, mixedsex WM (200), and 200 broilers (Ross, CB) each were randomly assigned to floor pens (20 chickens per pen). The production stages (I, II, and III) were selected based on similar live weight. The crude fat contents of WM thigh meat were lower than those of CB. WM thigh meat contained higher stearic and arachidonic acid contents but lower palmitoleic and oleic acid contents compared to those of CB. The thigh meat color CIE $L^*$- and CIE $b^*$-values of WM were lower, but inosine-5'-monophosphate content was higher in WM than CB in whole production stages. WM thigh meat showed higher collagen content, hardness, springiness, gumminess, and chewiness than CB. In sensory evaluation, odor, taste, and overall acceptance were higher while color was lower in WM. Based on these results, it can be concluded that even if commercial broilers are raised under the same environmental conditions as WM, the unique quality attributes of WM thigh meat are distinctively unique.

Estimating Effects of Attributes on Choice of Pizza Restaurants by Purchase Frequency (구매빈도별 피자전문점 선택에 미치는 속성의 영향 평가)

  • Kang, Jong-Heon;Jeong, In-Suk
    • Korean Journal of Human Ecology
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    • v.15 no.3
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    • pp.491-499
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    • 2006
  • The purpose of this study is to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on choice of pizza restaurant, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurants based on seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 university students as respondents. Twenty one students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, $X^2$, independent samples t-test, phreg procedure of SAS package. The results were as followed: Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by purchase frequency. Based on the estimated models developed for the two purchase frequency groups, the Chi-square statistics were significant at p<0.001. The parameter estimate for late delivery time with frequently purchase frequency group was highest, and the parameter estimate for price with frequently purchase frequency group was highest. The pizza restaurants that charged 20,000 won, offered 100% discount on eleventh pizza, promised to deliver pizza in 20 min, usually delivered the pizza as promised, offered 2 or more types of pizza crust, delivered steaming hot pizza, and did not offer a money-back guarantee which was favored by each of the two purchase frequency groups. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers can receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.

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Molecular Diversity of Rhizobacteria in Ginseng Soil and Their Plant Benefiting Attributes (인삼토양 내 근권세균의 다양성 및 식물에의 유용 특성)

  • Hong, Eun Hye;Lee, Sun Hee;Vendan, Regupathy Thamizh;Rhee, Young Ha
    • Korean Journal of Microbiology
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    • v.48 no.4
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    • pp.246-253
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    • 2012
  • The purpose of this study was to investigate the molecular diversity of rhizobacteria associated with ginseng of varying age levels and their plant benefiting attributes. A total of 143 different isolates belonging to 15 different bacterial genera were recovered. Although variation was found in the rhizobacterial community due to age of the plant, majority of bacteria belong to Firmicutes (58%). In which, Bacillus was found to be the predominant genus irrespective of age of the ginseng. To assess the plant benefiting attributes, 30 representative isolates were selected. The results indicated that some of the isolates could exhibit multiple plant growth promoting traits like secretion of cell wall degrading enzymes, production of indole-3-acetic acid, synthesis of siderophores, solubilization of phosphates and soil pathogens inhibition. It can be suggested that strains of B. subtilis, B. amyloliquefaciens, B. velezensis, and B. licheniformis were positive for all the above traits, which have potential to be used as plant growth promoting inoculants to improve ginseng crop in the future.

Identifying the Customers′ Menu Selection Attributes in Food Court-Styled B & I Foodservice Operation (푸드코트형 산업체 급식소에서의 고객의 메뉴 선택 속성 규명)

  • 이해영;안선정;양일선
    • Korean Journal of Community Nutrition
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    • v.9 no.2
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    • pp.183-190
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    • 2004
  • This study was designed to identify how customers considered menu selection attributes on menu choice, and so the instrument for measuring that question was developed and menu selection behavior types were analyzed by customers' characteristics. Cronbach's alpha to assess the internal reliability of the developed scales was 0.8361, which indicated to be highly reliable. Construct validity was assessed by principal components factor analysis with a Varimax rotation to identify underlying dimensions of menu selection and then four factors explaining 55.618% of the total variance were found. These factors were labeled as 'quality of meals', 'attractiveness of meals', 'healthfulness of meals' and 'variety of meals', respectively. As a result of analysis on menu selection factors, 'quality of meals'(3.82 out of 5) was the highest consideration followed by 'variety of meals'(3.51), 'healthfulness of meals'(3.49) and 'attractiveness of meals'(3.34), so that menu marketing approaches in the perspective of quality of meals would do lead customers' selection rates, customer satisfaction and then sales highly. Frequent visitor selected menu indifferently but customers who were interested in food and menu highly, who perceived meals' quality highly, and who were satisfied with overall foodservice did with concern. On the basis of these results of study for the target of food court-style B & I foodservice operation, which was introduced as an ideal model in future foodservice market by the concept of 'customer's selection right', the following study related with customers' meal patterns and perception of foodservice by menu selection attributes would be able to predict the chances for success of food court-style foodservice operations.

Estimation of Attributes Affecting University Students to Select the Pizza Restaurant by Gender (성별에 따른 대학생의 피자전문점 선택에 영향을 미치는 속성 평가)

  • Kang, Jong-Heon;Jeong, In-Suk
    • Journal of the Korean Society of Food Culture
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    • v.21 no.1
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    • pp.57-64
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    • 2006
  • The purpose of this study was to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on pizza restaurant choice, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurant based on the seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 students of university as respondents. Twenty students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, $X^2$, independent samples t-test, phreg procedure of SAS package. The results are as follows. Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by gender. Based on the estimated models developed for male student group and female student group, the Chi-square statistics were significant at p<0.001. The parameter estimate for late delivery time with male student group was highest, and the parameter estimate for price with female student group was highest. The pizza restaurant that charged \20,000, offered 100% discount on eleventh pizza, promised to deliver pizza in 40 mins, usually delivered the pizza as promised time, offered only 1 type of pizza crust, delivered warm pizza, offered the money-back guarantee was favored by each of male student group and female student group. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.

A Hybrid Multi-Level Feature Selection Framework for prediction of Chronic Disease

  • G.S. Raghavendra;Shanthi Mahesh;M.V.P. Chandrasekhara Rao
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.101-106
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    • 2023
  • Chronic illnesses are among the most common serious problems affecting human health. Early diagnosis of chronic diseases can assist to avoid or mitigate their consequences, potentially decreasing mortality rates. Using machine learning algorithms to identify risk factors is an exciting strategy. The issue with existing feature selection approaches is that each method provides a distinct set of properties that affect model correctness, and present methods cannot perform well on huge multidimensional datasets. We would like to introduce a novel model that contains a feature selection approach that selects optimal characteristics from big multidimensional data sets to provide reliable predictions of chronic illnesses without sacrificing data uniqueness.[1] To ensure the success of our proposed model, we employed balanced classes by employing hybrid balanced class sampling methods on the original dataset, as well as methods for data pre-processing and data transformation, to provide credible data for the training model. We ran and assessed our model on datasets with binary and multivalued classifications. We have used multiple datasets (Parkinson, arrythmia, breast cancer, kidney, diabetes). Suitable features are selected by using the Hybrid feature model consists of Lassocv, decision tree, random forest, gradient boosting,Adaboost, stochastic gradient descent and done voting of attributes which are common output from these methods.Accuracy of original dataset before applying framework is recorded and evaluated against reduced data set of attributes accuracy. The results are shown separately to provide comparisons. Based on the result analysis, we can conclude that our proposed model produced the highest accuracy on multi valued class datasets than on binary class attributes.[1]

The results of meat quality traits and sensory characteristics according to the concentration of androstenone in uncastrated pigs

  • Shah Ahmed Belal;Jong-Hyun Jung
    • Journal of Animal Science and Technology
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    • v.66 no.2
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    • pp.387-397
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    • 2024
  • Pork quality is determined by several attributes, among which odor and taste are the utmost significant. Therefore, this study was aimed to assess the effects of boar odor hormone concentration on the quality traits and sensory acceptability of pork. A total twenty-six (26) non-castrated 3-way crossbred (Landrace × Yorkshire × Duroc) pigs were selected with an average body weight (ABW) 115.6 kg before to slaughter. The three treatment groups (low, medium and high) were divided according to the androstenone concentration. In experiment 1, for meat quality traits carcass was selected based on androstenone concentration: low (LC, 0.64-0.69 ㎍/g, n = 9), medium (MC, 0.70-0.99 ㎍/g, n = 7) and high (HC, 1.00-1.69 ㎍/g, n = 10). In experiment 2, for sensory evaluation carcasses were also selected based on the abovementioned conditions. Results revealed that androstenone concentration not effect on proximate components, meat quality traits and fatty acids except palmitoleic acid. Sensory evaluation data showed that boar taint and meat boar taint were significantly increased in a concentration-dependent manner from low to high, whereas, gravy and meat flavor preference were significantly increased in LC group than HC group. In addition, correlation analysis showed that boar taint and meat boar taint were positively, and gravy and meat flavor preference were negatively correlated with boar taint hormones. In essence, our findings indicate that androstenone concentration had no effect on meat qualities, but a high concentration of androstenone had a negative effect on the sensory characteristics in uncastrated pigs.