• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.262-275
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• 2021

The expansion of the online market is expected to change the purchasing environment. The purpose of this study is to examine the difference in the moderating effect of each characteristic on perceived quality and purchase intention according to the group according to product involvement and purchaser age. The first step is to identify the characteristics of online information sources and social media platforms through a literature review. Next, when perceived quality affects purchase intention, we verify the moderating effect according to the characteristics of online information sources and social media platforms. The moderating effect is verified at the stage by dividing it into a group according to product involvement and a group according to age. The following results were confirmed throughout the study: First, perceived quality significantly affects purchase intention. Second, in the relationship between perceived quality and purchase intention, the influence of the moderating effect is different depending on the high-involvement product and the low-involvement product. Third, it was confirmed that there was a difference in the moderating effect of online information sources and social media platforms in the relationship between perceived quality and purchase intention according to age. This study intends to increase consumers' purchase intentions by identifying specific age groups and product groups of involvement and establishing strategies suitable for the characteristics of online information sources and social media platforms.

• Journal of Industrial Convergence
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• v.14 no.2
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• pp.1-14
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• 2016

According to the previous studies about relationship marketing, customers who have relationship with preferable brand or company take spontaneous word of mouth(WOM) and make more purchases than those who don't. Recently, as e-commerce has been combined with social media, many companies that are looking for solution which can promote customer relationship quality using social media. This study aims to investigate the role of customer's perceived value on brand relationship quality in social media. Although perceived value has been defined from many perspectives, we only consider "perceived social value" and "perceived emotional value" in this paper. According to social capital theory, self-esteem is an important variable when we explain the relationships. Thus this paper considers "self-esteem" as a moderating variable between relationship quality and relationship retention. To serve the research purpose, we collect 226 valid questionnaires from social media users. And we analyze data set and test research hypotheses by using SPSS 20.0 and AMOS 20. We expect that the result contain a lot of implication for both researchers and practitioners. Major findings from analyzing 226 valid questionnaires are as follows. First, when customer recognizes social value about brand or company, relationship quality with the brand or company has been improved. Second, when customer recognizes emotional value about brand or company, relationship retain intention with the brand or company has been improved. Third, self-esteem doesn't have moderating effect between relationship quality and relationship retention in social media.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.06a
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• pp.13-18
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• 1997

Each reproducing speech signal has each particular signal property, because of the processing of encoding and decoding for communications through various media. In this paper, we examine the correlation between speech signal quality and sensory pleasure for the sensory improvement of that signal. In experiments, we evaluate the quality of speech signals through various media by psychological auditory test and physical features of these signals.

• Journal of applied mathematics & informatics
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• v.41 no.5
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• pp.1129-1143
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• 2023

Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

• KIEAE Journal
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• v.14 no.3
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• pp.55-63
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• 2014

This study selected and analyzed filter media that can be applied in non-point pollution reduction devices aimed at processing the source of pollution on site for road runoff that increases rapidly in rainfall-runoff in order to improve the water quality of urban areas. First, the factors that affect the quality of runoff caused by sources of non-point pollution include physical and social factors such as the usage of land around the area of water collection, type of pavement and movement of cars and people, as well as rainfall characteristics such as frequency, intensity, amount and duration of rainfall. Second, the purification tests of the filter media were processed for pH, BOD, COD and T-P, and the filter media showed to have initial purification effect at that items. However, the filter media showed to be very effective for the processing of SS, T-N, Zn and Cd from the beginning to the end. Third, for filter media, zeolite and vermiculite showed to be effective for processing SS, T-N, Zn and CD constantly, and composite filter media including zeolite showed to have strong processing effects. The authors conclude that this study can be applied to technical areas and policies aimed at reducing non-point pollution in urban areas and can also contribute to allowing eco-friendly management of rainfall as well as improvement of water quality.

• Asia Marketing Journal
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• v.19 no.4
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• pp.15-36
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• 2018

Vietnamese luxury market is rapidly growing, however, there is a few researches on Vietnamese consumers' perceptions of luxury products and influential factors in purchasing intention. The purpose of this study is to explore Vietnamese consumers' value dimensions and mediating effect of social media information for their decision making for luxury product. Data were collected using self-administered mail survey. This study examines the influences of consumers' perceptions of quality and value, and social media word-of-mouth on Vietnamese consumers' luxury purchase intention.

• Journal of Korean Society of Water and Wastewater
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• v.20 no.6
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• pp.837-848
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• 2006

This paper presents the test results of biological aerated filtration(BAF) process to replace activated sludge process by enhancing treated effluent quality and reducing the costs. In BAF process both BOD and SS compounds in wastewater are degraded and removed by biological reaction and filtration. Upflow BAF with expanded polypropylene media and downflow BAF with ceramic media were used to investigate the effects of hydraulic and organic loads on effluent quality. As a result, in BAF processes which has different media, upflow BAF reactor shows 5% higher efficiency than downflow BAF and this phenomena caused by backwashing methods and operational conditions. The results of influence factors analyzed by Factor Analysis Method in BOD and SS treatment efficiency are the size of media, hight of media bed and type of media. The quantitative effects of media size are 5.73% in TBOD, 5.78% in SBOD and 7.65% in TSS, so we confirmed the main factor is media size.

• Journal of Mushroom
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• v.7 no.1
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• pp.22-26
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• 2009

These experiments were conducted to find the optimum mixing rate of used media for saving the production cost of Flammulina velutipes. The materials for media formation was used needle-leaf tree sawdust, media that finished 1th cultivation of F. velutipes, corncob meal, and rice bran, wheat bran as nutrition source. We inoculated the F. velutipes in 14 kinds of different media types and checked the spawn growth speed, fruit body quality and quantity. Two nutrition agents, which is rice bran and wheat bran, did not affected the incubation period, but the effective stem number, quality and quantity of fruit body was better at rice bran than wheat bran. The quality of fruit body produced at mixed 20% of used media (needle-leaf tree sawdust 60% + used media 20% + rice bran 20%) was similar to control plot (needle-leaf tree sawdust 80% + rice bran 20%), but the yield was improved 10% than control plot 130g. According as the used-media mixing amount increases, quality and quantity of fruit body became low remarkably. Therefore, the optimum mixing amount of used-media was 20% and it increased 10% of fruitbody yield.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.768-779
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• 2018

In this paper, we propose a novel video quality function for video processing based on MSSSIM to select an appropriate video processing filter and to accommodate multiple processing filters to each pixel block in a picture frame by a mathematical selection law so as to maintain video quality and to reduce the bitrate of compressed video. In viewpoint of video compression, since the properties of video quality and bitrate is different for each picture of video frames and for each areas in the same frame, it is difficult for the video filter with single property to satisfy the object of increasing video quality and decreasing bitrate. Consequently, to maintain the subjective video quality in spite of decreasing bitrate, we propose the methodology about the MSSSIM as the measure of subjective video quality, the KL-Divergence as the measure of bitrate, and the combination method of those two measurements. Moreover, using the proposed combinatorial measurement, when we use the multiple image filters with mutually different properties as a pre-processing filter for video, we can verify that it is possible to compress video with maintaining the video quality under decreasing the bitrate, as possible.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.41-65
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• 2016

What prevails in the today's research on social media is a functional view of technology. Technology is regarded as a set of technical devices used to conduct specific social functions, such as personal communication, social networking, public posting, and corporate advertising, among others. This paper proposes that such a functional view of technology renders social media research unduly limited and constrained in its scope, level, and direction of inquiry. Problematizing on some representative social media research efforts in the field of IS, this paper provides an alternative perspective, that is, to view social media as a technology-for-being that exerts a deeper level of influence on our existence, molding and shaping the nature and mode of being itself. Such a technology-for-being perspective has been rarely explored or subscribed to in the present IS social media research. Building upon the new conception of social media as a technology-for-being, this essay explores the quality of being in the context of social media. Five such qualities are discussed, including virtuality, materiality, externality, liquidity, and hybridity. The essay also explores the deep structural problems of research to guide future social media research. Six of such problems include Problematize-the-Natural, Follow-the-Actor, Welcome-the-Frankenstein, Weber-meets-Frankenstein, Freud-meets-Frankenstein, and Marx-meets-Frankenstein. The essay concludes with discussions on the implications of the essay, its limitations, and suggestions for future work.