• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.2
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• pp.135-150
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• 1999

Service quality is very important to marketers and consumers in that it has many strategic benefits in contributing to profitability of marketing activities and consumers' problem-solving activities. Moreover, despite the phenomenal growth of physical fitness centers little research has focused on the evaluation of service quality from exercisers' perspectives. The major purpose of this article is to explore the concept of two-factor model and its influences on exerciser's perception of quality. This article attempts to achieve its purpose by (1)classfying critical service attibutes into hygiene factors and satisfiers (2) measuring the relative importance of need criteria (3) evaluating SERVPERF model and SERVQUAL model in service sector and (4)identifying the relationship between overall satisfaction and behavior. In explaining the relationship between perceived performance and overall satisfaction only 27 out of original 33 survey items were appreared to be statistically significant. Hence a penalty-reward analysis was performed on these critical attributes to find out 11 satisfiers and 9 hygiene factors. In addition, it was found that only experience-based norms(SERVPERF model) were more appropriate than expectations to serve as a benchmark against which service experiences were compared(SERVQUAL model). However it must be noted that the degree of association to overall satisfaction was not consistent.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.223-238
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• 2007

This paper contains an analysis of the methods that have been used to achieve or improve interoperability among metadata and discuss the possibilities and limits of semantic interoperability among metadata using crosswalk. After that a semantic metadata mapping process which is able to maximize the interoperability among metadata is suggested. The methodology consists of four steps such as identifying metadata schema, finding common data element concepts(DECs), grouping attributes by the DECs, and mapping into a table. An experimental application of the process was performed onto two human resource information metadata standards developed in Korea.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.217-225
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• 2014

Analysis of social media such as Twitter can yield interesting perspectives to understanding human behavior, detecting hot issues, identifying influential people, or discovering a group and community. However, it is difficult to gather the data relevant to specific topics due to the main characteristics of social media data; data is large, noisy, and dynamic. This paper proposes a new algorithm that dynamically selects the seed nodes to efficiently collect tweets relevant to topics. The algorithm utilizes attributes of users to evaluate the user influence, and dynamically selects the seed nodes during the collection process. We evaluate the proposed algorithm with real tweet data, and get satisfactory performance results.

• Journal of Distribution Science
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• v.17 no.12
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• pp.43-54
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• 2019

Purpose: Marine transportation companies must improve service quality to secure competitive advantage and continuous relationships with customers. This study explores the value and necessity of service quality in the industry by empirically identifying the factor that would have the largest effect on the improvement of service quality, also examining whether such improvement may actually influence continuous relationships. Research design, data and methodology: Based on an online survey with those in the Korean marine transportation industry, this study conducted statistical analyses using structural equation modeling. Based on relevant previous studies, the current study constructed a total of 55 survey questions. Finally, 281 questionnaires were collected, but 68 were excluded owing to invalid responses. Results: Information service attribute had the largest effect on service quality, whereas communication did not demonstrate a significant influence. In addition, distribution and information services exerted a positive effect on service satisfaction through service quality, and finally influenced relationship continuity. Conclusions: The results shows that marine logistics service quality strategies which were centered on time or local factors, should be considered in terms of the development of innovative services. In particular the improvement of information service systems and strategies in changed business environment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.171-182
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• 2010

The precent, many outdoor advertisements in the media has such experience. Looking at the trend of outdoor advertising media, visual stimuli, causing extreme curiosity, stimulate emotion, expression, such as illogical to consumers using a variety of unexpectedness "surprising expression" attempt to give a strong impression on consumers appears to can. In this study, outdoor advertising media, outdoor advertising is now through the case study to evaluate the characteristics of the media in the unexpectedness, in the process based on components derived extraordinariness configure Tetrad Map and extraordinariness factors of outdoor advertising media Analysis of the key elements to configure the user experience factor that has the purpose of identifying the characteristics extraordinariness. As a result of analysis of outdoor advertising media element to configure the Visual / Installation / Technology / Story of the most important factors acting Visual elements were found to be leveraging. Components, as well as factors was higher than the interest factor involved. So now with the development of outdoor advertising media, the unexpectedness expression appears in the flow, limited to the visual aspect of extraordinariness factors that could be seen being used. Characteristics of outdoor advertising media in the past did not deviate more as consumers look to stimulate the technical attributes of a visual form that could be seen to be extended.

• Korean Journal of Computational Design and Engineering
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• v.12 no.3
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• pp.191-199
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• 2007

In order to construct a data warehouse of process plant equipment, a classification structure should be defined first, identifying not only the equipment categories but also attributes of an each equipment to represent the specifications of equipment. ISO 15926 Process Plants is an international standard dealing with the life-cycle data of process plant facilities. From the viewpoints of defining classification structure, Part 2 data model and Reference Data Library (RDL) of ISO 15926 are seen to respectively provide standard syntactic structure and semantic vocabulary, facilitating the exchange and sharing of plant equipment's life-cycle data. Therefore, the equipment data warehouse with an ISO 15926-based classification structure has the advantage of easy integration among different engineering systems. This paper introduces ISO 15926 and then discusses how to define a classification structure with ISO 15926 Part 2 data model and RDL. Finally, we describe the development result of an ISO 15926-based classification structure for a variety of equipment consisting in the reactor coolant system (RCS) of APR 1400 nuclear plant.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.15 no.2
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• pp.23-41
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• 2004

This study aimed at categorizing food product consumer's life types, understanding properties of each type, identifying differences in the food consumption pattern, and suggesting a strategical plan to implement market segmentation for the future food products. A demonstrative analysis revealed that consumption tendencies of the sample group in the Busan area could be categorized into four types-popular brand orientation, convenience and practicality orientation, and change and innovation oriention; an analysis of demographical differences in each group demonstrated that variabes of age and family formation showed a significant difference within a significant level. A test of differences in the significance among food consumption types in each group demonstrated that there was no signifcant difference in the number of dining-out, average cost of dining-out per person, dining-out of the week, cost of dinner, and attributes of food service selection. To the contrary, there was a significant difference in the purpose of dining-out, place of lunch, cost of lunch, menu of dinner, and food service information medium among consumption tendencies of each within a significant level.

• Proceedings of the KOR-KST Conference
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• 2000.02a
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• pp.25-47
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• 2000

In route guidance systems fastest-path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this study is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e. Pareto optimal) paths for real-time vehicle routing which reflect the drivers' preferences and route choice behaviors. We propose two pruning algorithms that reduce the search area based on a context-dependent linear utility function and thus reduce the computation time. The basic notion of the proposed approach is that ⅰ) enumerating all nondominated paths is computationally too expensive, ⅱ) obtaining a stable mathematical representation of the drivers' utility function is theoretically difficult and impractical, and ⅲ) obtaining optimal path given a nonlinear utility function is a NP-hard problem. Consequently, a heuristic two-stage strategy which identifies multiple routes and then select the near-optimal path may be effective and practical. As the first stage, we utilize the relaxation based pruning technique based on an entropy model to recognize and discard most of the nondominated paths that do not reflect the drivers' preference and/or the context-dependency of the preference. In addition, to make sure that paths identified are dissimilar in terms of links used, the number of shared links between routes is limited. We test the proposed algorithms in a large real-life traffic network and show that the algorithms reduce CPU time significantly compared with conventional multi-criteria shortest path algorithms while the attributes of the routes identified reflect drivers' preferences and generic route choice behaviors well.

• The Journal of Industrial Distribution & Business
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• v.12 no.11
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• pp.1-8
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• 2021

Purpose: For the last few decades, human civilization has observed an enormous change due to digitalization. However, question remains whether and how management accounting has been transformed to meet the demand of the digitalization. This paper provides a literary illustration of such transformation in the context of a digitalized world. Research design, data and methodology: This is a conceptual study based on extant literature. Therefore, the secondary sources of materials were used. Materials include literatures published in this domain, archival documents, and other publicly available data. Results: Drawing from literary evidence, the paper first highlights the evolving character of management accounting. Then it illustrates the changing landscape in the milieu of global and institutional settings with a focus in accounting profession. It further demonstrates the digitalization impact in management accounting. Here it also identifies the changing role of management accountants. Conclusions: The paper is critical for the management accounting professionals in identifying the attributes and nature of management accounting in the contemporary world. It also provides a sketch of the potential skillset that management accounting professionals should embrace to tackle the challenges of the new environment.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.304-314
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• 2023

The rapid development of digital technology is diversifying the fashion industry by influencing both the manufacturing processes and the characteristics of fashion products. Although various smart clothing technologies are being developed as part of the government's technology development policy, the number of smart clothing products available to consumers in stores remains very limited. To address this issue, this study analyzes the key attributes of smart clothing as expressed in consumer language. The CIT (Critical Incident Technique) research method was used, and data were collected through an online survey. The study focuses on identifying potential factors that may influence the development direction or strategy of smart clothing. By classifying past experiences and attitudes towards smart clothing into positive and negative categories, it was found that positive responses to smart clothing were heavily influenced by expectations from technology and convenience. Participants' experience with smart technology has had a positive impact on their evaluation of smart clothing. Consumers with negative attitudes towards smart clothing expressed expectations for new benefits resulting from technological development, and indicated that they would consider purchasing such clothing in the future when design and technology improve. Ultimately, this study provides a valuable reference for the development of smart clothing products in Korea by analyzing consumer experiences and acceptance conditions towards smart clothing.