• Culinary science and hospitality research
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• v.17 no.2
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• pp.1-17
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• 2011

The purpose of this study is to make an evaluation on menu selection and satisfaction levels of the tourists who visit Korean restaurants in Busan. This study aims to propose general, strategic plans for improving the menu quality management of Korean restaurants in the future and find out measures to make restaurant users satisfied and revisit. A survey was conducted on ordinary people who had visited Korean restaurants in tourist hotels in Busan. A total of 310 copies of questionnaire were distributed to them from September 1 to 30, 2008. The SPSS/PC+ for Window 12.0 was used for data processing and analysis. As a result, it was found that selection attributes of Korean restaurant menu had an effect on customer satisfaction and revisit intention, and the most influential factors were health and menu designs. These days, people are getting more interested in keeping in shape with the Well-being trend. Such a modern trend is an important factor when selecting menu items. Therefore, when menu management is considered, health-related factors need to be considered more than anything else. In addition, various and unique menu items need to be designed to draw people's curiosity and make customers revisit.

• Culinary science and hospitality research
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• v.21 no.1
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• pp.250-266
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• 2015

This study concentrated on the dining out consumption behaviors, dining out selection attributes, and changes in eating habits of silver generation. Total 216 residents in metropolitan area were employed for statistical analysing. The results are as follows. First, as the result of t-test and ANOVA showed that female and higher academic background tended to regularly take high level of fruits, vegetables, meat, and fish eating habits. These results identified that dining out culture and dietary lifestyle are closely linked. Second, as the result of difference in dining out consumption attitudes on eating habit of silver generation, consumers who have better eating behaviors tended to consider the physical environment, variety of menu, and service quality when they choose a restaurant. Third, as the result of analysis on changes in dining out consumption behavior based on eating behavior of silver consumers, groups differences were found from only the source for information on dining out business and standard variable in selection of dining out business. Fourth, physical environment, variety of menu, business quality, and service were indicated as significant selection attributes of dining out among silver peoples. Fifth, dining out consumption behaviors of silver consumers were developed through newspapers, magazines, and previous visiting experiences. In conclusion, the results of present study showed that silver consumers tend to select a restaurant based on word-of-mouth and various factors related to experiences. Hence, various promotional activities are necessary for the business succession.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.21-36
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• 2021

This study investigated the means-end chain theory more concretely through the APT hard laddering technique. This is carrying out a questionnaire survey targeting users by hair salon type, and the items drawn from the qualitative laddering technique are applied. The technique is a comparative analysis of each attribute, consequences, and value item by analyzing each step's questions. The results are as follows. First, hairdresser's ability, acceptance of individual-customized opinions, and cheap price were the most mentioned items in the selection attributes. As for the consequences items, image transformation, neatness, novelty, and psychological stability were drawn in order. The items indicated as important among the value items were satisfaction, followed by happiness, confidence, beauty, and bond. Second, the remarkable selection attributes, irrelevant of hair salon type, was revealed as hairdresser's ability and the key values pursued when using a hair salon were drawn as satisfaction, confidence, and beauty. From this result, it was found that meeting the desire of consumers using hair salons can be linked with ultimately pursued values. It was also verified that partial differences were shown by hair salon type and this meant that consumers' desire and expected benefits were different by hair salon type. Although this study drew value perception through comparison with hair salon types based on the means-end chain theory, it was confirmed that the most important selection attribute was hairdresser's ability and they select and use hair salons to gain satisfaction and confidence.

• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.155-164
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• 2012

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2455-2475
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• 2021

Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient's treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain, and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach's applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems.

• Information Systems Review
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• v.25 no.1
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• pp.47-73
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• 2023

Management decision-making based on artificial intelligence(AI) plays an important role in helping decision-makers. Business decision-making centered on AI is evaluated as a driving force for corporate growth. AI-based on accurate analysis techniques could support decision-makers in making high-quality decisions. This study proposes an effective decision-making method with the application of multi-label feature selection. In this regard, We present a CFS-BR (Correlation-based Feature Selection based on Binary Relevance approach) that reduces data sets in high-dimensional space. As a result of analyzing sample data and empirical data, CFS-BR can support efficient decision-making by selecting the best combination of meaningful attributes based on the Best-First algorithm. In addition, compared to the previous multi-label feature selection method, CFS-BR is useful for increasing the effectiveness of decision-making, as its accuracy is higher.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.384-392
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• 2011

Recruitment and selection are separate but mutually reinforcing processes. The goal of recruitment is to attract the largest number of applicants possible to apply to the agency, and selection is the process of weeding out unqualified candidates and identifying qualified candidates. In this context, the recruitment and selection system of police officials is an important issue because it affects their future performance as police officers on the job, especially their policing skills, perception of society, occupational ethics. This study suggested the characteristics of U. S. recruitment and selection system of police officials. In the U. S, each police agency sets up its own recruitment and selection standards and procedures. However, recruitment and selection process follows a certain sequence : receiving application, psychological examination, background check, polygraph test, drug screening, interview, physical agility, and medical test. Special characteristic of American police system regarding recruitment and selection is that many law enforcement agencies use a polygraph test to ensure the integrity of the candidates. Another interesting screening process is a drug test because many Americans abuse illegal drugs. A candidate officer must submit urine or a hair sample for screening test. Police human resources specialists should continually identify the most innovative tests and approaches recruit and select police officers. Recruitment and selection strategies should increasingly attract and retain those officers who have the attributes to work in a community-oriented policing environment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.959-968
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• 2020

Tourist loyalty is created through good tourism service quality and the availability of tourism products. This study discussed the various attributes of tourism service quality, namely, tour agents, efficient personnel, accessible transportation, and information service quality. Whereas for tourism product availability attributes were varieties of product availability, wide selection of tour agents and tourist products, and wide variety of amenity services. As a general rule, the minimum is to have at least five times as many observations as the number of variables to be analyzed, and the more acceptable sample size would have a 10:1 ratio. A total of 424 questionnaires were returned, with 35 removed due to errors. Finally, 389 questionnaires respondents were used via accidental sampling method through the distribution of questionnaires to foreign tourists at Soekarno Hatta International Airport. In addition, AMOS 7.0 software is used to test models in confirmatory factor analysis (CFA) as well as hypothetical testing using structural equation modeling (SEM). The results showed that all hypotheses were accepted, except for the effect of tourism service quality on tourist loyalty in Indonesia. This research aims to contribute significantly to the existing knowledge of tourism, specifically from a foreign tourist perspective in Indonesia.

• Phonetics and Speech Sciences
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• v.8 no.4
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• pp.103-113
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• 2016

This paper aims to propose articulatory features as novel predictors for automatic pronunciation assessment of English produced by Korean learners. Based on the distinctive feature theory, where phonemes are represented as a set of articulatory/phonetic properties, we propose articulatory Goodness-Of-Pronunciation(aGOP) features in terms of the corresponding articulatory attributes, such as nasal, sonorant, anterior, etc. An English speech corpus spoken by Korean learners is used in the assessment modeling. In our system, learners' speech is forced aligned and recognized by using the acoustic and pronunciation models derived from the WSJ corpus (native North American speech) and the CMU pronouncing dictionary, respectively. In order to compute aGOP features, articulatory models are trained for the corresponding articulatory attributes. In addition to the proposed features, various features which are divided into four categories such as RATE, SEGMENT, SILENCE, and GOP are applied as a baseline. In order to enhance the assessment modeling performance and investigate the weights of the salient features, relevant features are extracted by using Best Subset Selection(BSS). The results show that the proposed model using aGOP features outperform the baseline. In addition, analysis of relevant features extracted by BSS reveals that the selected aGOP features represent the salient variations of Korean learners of English. The results are expected to be effective for automatic pronunciation error detection, as well.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.11
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• pp.1621-1627
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• 2001

Steers and heifers (N=490) were produced between 1991 and 1996 by reciprocal fiillsib backcross and $F_1$ crosses from Angus and Brahman to compare characteristics of carcass and palatability traits between Bos indicus and Bos taurus inheritance. Carcasses of 3/4Angus were heavier, fatter (p<0.05), more tender and higher in other palatability attributes (p<0.01) than those of 3/4Brahman. Reciprocal effects of parental cross breeds were found on some traits. Within 3/4Brahman inheritance group, Brahman sired progeny produced heavier and fatter carcasses with better palatability (p<0.05) than progeny with Brahman as a dam breed. Estimates of heritability were intermediate to high in most carcass and palatability traits. Genetic correlations of tenderness with marbling score (MARB), sarcomere length (SARC), fragmentation index (FRAG) and calpastatin activity (CALP) were moderate to high, suggesting potential use of the tenderness-influencing factors as indirect selection criteria to improve palatability attributes. MARB and SARC that were best predictors of tenderness explained 3.07 to 5.85% and 4.32 to 8.24% of variation in tenderness, respectively. However, there was no tenderness-influencing factor to dominantly explain large portion of variation in tenderness.