• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.8
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• pp.1122-1131
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• 1998

The purpose of this study was to examine the effects of brand-related and corporate-realted knowledge on brand-name extension and corporate-name extension, respectively in fashion market. Here, it is designed into three types of brand and corporate awareness; 1) Higher brand awareness and corporate awareness, 2) higher brand awareness and lower corporate awareness, and 3) lower brand awareness and higher corporate awareness. For this study, questionnaires were administered to 700 single women in twenties. The questionnaires were designed to measure evaluations of brand-name extension and corporate-name extension and brand-related and corporate-related knowledge in terms of familiarity, use experience, self-assessed knowledge, evaluation of attributes and attitude. Employing a sample of 621 women, data were analyzed by Multi-Regression analysis. Major findings of this study are summarized as follows; 1) In level of higher brand and corporate awareness, the evaluations of brand-name extension were influenced by corporate-related knowledge such as brand use experience, evaluation of brand attributes and brand attitude. Also, the evaluations of corporate-name extension were influenced by both brand-related knowledge such as brand attitude and corporate-related knowledge such as use experience of product awareness and lower corporate awareness, brand-related knowledge such as evaluation of brand attributes and brand attitude was identified as the important factor in the evaluations of brand-name extension. 3) In level of lower brand awareness and higher corporate awareness, corporate-related knowledge such as attitude toward corporate was identified as the important factor in the evaluations of corporate-name extension.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.255-272
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• 2020

This exploratory study investigated Chinese consumers' perceived usefulness and risks of fashion apps and identified reasons for continuance and discontinuance intentions. This study conducted focus group interviews with a convenience sample of 13 Chinese students majoring in fashion in Korea. Based on interviewee responses, this study identified five attributes leading the perceived usefulness of mobile fashion apps (ubiquity and convenience, multi-media information, personalization, interactivity between consumers, and immediateness) and sub elements related to the five attributes. Five types of perceived risk (privacy risk, security risk, product risk, loss of future opportunity, and time risk) were identified in relation to Chinese consumers' use of fashion apps. The important role of live streaming services was uniquely identified by Chinese fashion app users. Usefulness of location-based information provided by mobile fashion apps were differently perceived according to respondents' use purpose, and augmented reality services provided by the apps were related to entertainment rather than usefulness. This study provides meaningful insights into Chinese consumers' perceptions of fashion apps and important app attributes that influence their continuance and discontinuance intentions. The findings from this study lend preliminary implications for future researchers and fashion businesses interested in the Chinese app market.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.657-662
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• 2011

The relationship between household attributes and trip generation can only be found in Seoul Metropolitan Household Travel Survey, which has been implemented every 5 years. However, various household attributes' impact on trip generation has not been analyzed closely. This paper compared and analyzed those impact. The results could be useful when trip generation models are studied in the future. They are as follows. The household size should be an important classification criteria when household trip generation is estimated. The traditional assumption that the relationship between household auto ownership and trip generation is positive and linear correlation should be reconsidered. Weekday travel data only did not showed that housing type has an influence on trip generation. Household income is unrelated with trip generation among single-person household, while multi-person household is related strongly. However, when trips are classified by purpose, impact of household income on trip generation are varied by trip purpose. Especially, the increase in single-person household can not be overlooked when trip generation is forecasted.

• Archives of design research
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• v.9
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• pp.801-810
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• 1994

Design Problems are often both multidimensional and highly interactive. Very rarely does any part of a designed thing serve only one purpose. The activity of designing is thus a goal-directed activity and normally a goal-directed problem-solving activity. This means, problem solving is finding a way to get from some initial situation to a desired goal. Designers are transforming agents within a society whose goals are to improve the human condition through physical metamorphosis. Many theorist have agreed that designing involves problem solving or decision making. Accordingly evaluation plays an essential role in design activity. The evaluation factors include all attributes that have levels specified by quantitative and qualitative objectives Alternatives in multi-objective decision prOblems generally possess numerous attributes by which they can be described and compared. The evaluation factors include all attributes that have levels specified by quantitative and qualitative objectives. However since qualitative factors are difficult to quantify as numeral estimates, these factors have tended to be ignored without regard for their importance to human content. We adapted the Accumulative Evaluation Model as an evaluation algorithm for IDES. Industrial Design Evaluation System (IDES) consists of 3 major modules ( 1 Design Element, 2.Matrix, 3.Evaluation). It is intended to be an aid for design evaluation. The luther thinks IDES is a new design evaluation approach which could provide effective rating of design values to make value judgements. It is an attempt to provide industrial designers with access to design evaluation. The author's aim is to produce an Object-Oriented Evaluation System which can guide the designers and decision makers under complex design projects. It uses\ulcorner an Object-Oriented Programming for this prototype, Because of managing complexity (Flexibility and Reusability) and improving productivity(Extensibility & Maintainability and Programming by User) in software development process. The author has chose the C++ because it is a hybrid, rather than pure Object-Oriented Language.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.177-194
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• 2007

Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.43-52
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• 2021

In weapon assignment studies to defend against threats such as ballistic missiles and long range artillery, threat assessment was partially lacking in analysis of various threat attributes, and considering the threat characteristics of warheads, which are difficult to judge in the early flight stages, it is very important to apply more reliable optimal solutions than approximate solution using LP model, Meta heuristics Genetic Algorithm, Tabu search and Particle swarm optimization etc. Our studies suggest Generic Rule based threat evaluation and weapon assignment algorithm in the basis of various attributes of threats. First job of studies analyzes information on Various attributes such as the type of target, Flight trajectory and flight time, range and intercept altitude of the intercept system, etc. Second job of studies propose Rule based threat evaluation and weapon assignment algorithm were applied to obtain a more reliable solution by reflection the importance of the interception system. It analyzes ballistic missiles and long-range artillery was assigned to multiple intercept system by real time threat assessment reflecting various threat information. The results of this study are provided reliable solution for Weapon Assignment problem as well as considered to be applicable to establishing a missile and long range artillery defense system.

• Information Systems Review
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• v.13 no.3
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• pp.47-63
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• 2011

The rapid spread of the Smartphone usage among the public has brought great changes to the overall society. Aiming to gain their competitiveness with better Smartphone service quality, manufacturers are endeavoring to keep the pace with the popularization of mobile internet and social changes. Researches on the Smartphone service quality are actively undergoing in the academic circles as well. A great many of studies ranging from the past mobile services to the recent Smartphone services have thus far focused on proposing the systematic arrangement and the typology in terms of service quality, which in turn have provided the theoretical foundation and broaden the scope of comprehension. Besides technical aspects of the mobile and Smartphone services, the earlier studies in the behavioral domain, however, only took into considerations the positive aspect of users' satisfaction with the quality of services via new media devices like Smartphone. The rationale behind this mainly comes from the assumption that as the opposite definition of satisfaction is dissatisfaction, the services are not adopted if dissatisfied. However, it is not always true to conclude that service users are satisfied when the service is functionally fulfilled and dissatisfied otherwise. That is because there exist some cases that quality attributes provide satisfaction when achieved fully, but do not cause dissatisfaction when not fulfilled. And there also exist other cases that quality attributes are taken for granted when fulfilled but result in dissatisfaction when not fulfilled. To account this multi-dimensional feature of service quality attributes in relation with user satisfaction, this study took advantage of Kano model following the identification of a set of the Smartphone service quality attributes by investigating the previous studies. Categorizing of the service quality elements reflecting the customers' needs would perhaps help manage Smartphone service quality, enabling business managers to identify which quality attributes more emphasis to put on and what strategy to establish for the future.

• Management & Information Systems Review
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• v.33 no.1
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• pp.279-298
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• 2014

This research is based on service marketing to explain the effect of barista job attributes as the antecedents of lovemarks for increasing brand loyalty. The analysis was held with customers who experienced local and national coffee shop in Pusan area by using SPSS18K and Smart PLS 2.0. The study verified the structural equation model hypothesizing the relationship among related factors including barista job attributes, lovemarks and brand loyalty. According to the result of this study, barista job attributes factors including expertise, communication, and service orientation have positive effect on the lovemark. Furthermore, structural relationships among lovemark variables were identified through hypothesis testing. However, the effects of expertise and service orientation on intimacy were not significant especially in local brand. Additional multi-group testing was conducted to explain managerial implication of this research. The research has several marketing implication on service marketing and lovemark theory. For firms, customers'perception of barista's job attributes can generate positive lovemark effect and develop brand loyalty in the service marketing perspectives.

• Journal of KIISE:Databases
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• v.30 no.3
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• pp.336-349
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• 2003

Histograms have been getting a lot of attention recently. Histograms are commonly utilized in commercial database systems to capture attribute value distributions for query optimization Recently, in the advent of researches on approximate query answering and stream data, the interests in histograms are widely being spread. The simplest approach assumes that the attributes in relational tables are independent by AVI(Attribute Value Independence) assumption. However, this assumption is not generally valid for real-life datasets. To alleviate the problem of approximation on multi-dimensional data with multiple one-dimensional histograms, several techniques such as wavelet, random sampling and multi-dimensional histograms are proposed. Among them, GENHIST is a multi-dimensional histogram that is designed to approximate the data distribution with real attributes. It uses overlapping buckets that allow more efficient approximation on the data distribution. In this paper, we propose a scheme, OPT that can determine the optimal frequencies of overlapped buckets that minimize the SSE(Sum Squared Error). A histogram with overlapping buckets is first generated by GENHIST and OPT can improve the histogram by calculating the optimal frequency for each bucket. Our experimental result confirms that our technique can improve the accuracy of histograms generated by GENHIST significantly.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.73-89
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• 2004

Since people have come to access more and more information about products with the proliferation of the Internet, more and more customer-to-customer e-marketplaces are being introduced with rapidly increasing transaction volumes. As the role of customer-to-customer electronic commerce has become increasingly regarded as vital to the economy, much research has delved into developing intelligent agent systems to efficiently support customer-to-customer electronic commerce. Most of this research, however, has focused only on supporting simple negotiation for the price of common goods along the time span. To expand the negotiation object to the differentiated goods, the customer must be allowed to negotiate over multi-at-tributes of the product besides the price, including the attributes related to the transaction activity itself, such as delivery time and payment method. To satisfy this requirement, we propose an agent marketplace for differentiated goods where the agent of a customer can negotiate not only the price but also the various attributes of the product and the transaction in order to achieve a better utility level for both buyer and seller. The formal protocol and the architecture issues to support the proposed e-marketplace and agents are also addressed.