• 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.

• Journal of Korean Society of Rural Planning
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• v.21 no.3
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• pp.85-99
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• 2015

This study explores influences of the relationship between social capital and residents' perception in a collective aspects, and also explores the differences of influence between two groups in 10 rural communities. This study conducts regression analysis with residents questionnaires, and analyzes the relationship of influence among the latent factors, and differences between the two groups. As a results, associational network and social trust factors of social capital are identified as the most important factor in the quality of life and residents' attitudes. In addition, the differences in socio-cultural factor of quality of life and residents' attitude between two groups are identified by comparison with the relationship between two groups, although the explanatory power of both groups is not high. To achieve a successful rural tourism based on the result of this study, rural tourism should consider the regional and demographic characteristics, such as age, occupations and education and so on. The major contribution of this study is to confirm that the impact of social capital on the residents' perception would be different by regions in comparison with two groups, and it will be able to provide useful implication for the rural tourism development in the future.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.223-231
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• 2021

The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.8
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• pp.1407-1417
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• 2016

In this paper, we propose a multi-level content transmission mechanism for intelligent quality of service (QoS) in social networking services (SNSs). Because existing SNSs and related work send image content to a client with a single fixed mechanism, they cannot consistently support content accessibility according to different conditions of QoS factors such as network congestion and throughput. In the proposed image transmission mechanism, our communication middleware (CM) provides an SNS developer with three transmission modes so that an SNS server or client can dynamically change the quality of images if required. In each transmission mode, an SNS server can send images to a requesting client with original high quality, thumbnail quality, or send only text information. With varying qualities of downloaded images, an SNS developed on top of CM can provide users with consistent QoS for access to SNS content.

• Journal of Information Technology Applications and Management
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• v.21 no.1
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• pp.35-51
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• 2014

The popularity of Social Network Service (SNS) providing web sites has increased continuously by using a variety of mobile devices. The study results show that security of SNS, efficiency of SNS, safety, empathy of SNS quality, easy of use of SNS, assurance of SNS, service variety of SNS are having positive impact to some degree on the user satisfaction. Further, the user satisfaction of SNS users have a positive impact on the continuance usage intention of SNS users. This results show that various SNS qualities are necessary to actively explore and obtain further information that users intend to find, while they are insufficient in function to provide the information other users require or exchange information with other users through the SNS.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.197-207
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• 2013

The purpose of this study is to analyze the effect of controlling consulting service quality in relation to the factors of success and performances of the social enterprises. In order to achieve the objective of this study, securement of market competitiveness, entrepreneurship and network activity was defined to be the factors of success and the research model and hypothesis was set according to the theoretical basis of the factors of success, performances and the quality of consulting services. The results showed that first, securement of market competitiveness, entrepreneurship and network activities as factors of success all had significant effects on performances pertaining to both profit-making and public interest, having great influence on the securement of market competitiveness of the social enterprises. Secondly, as a result of analyzing the effects of controlling the quality of consulting services in relation to the relationship between the factors of success and management performances of the social enterprises, network activity showed to have significant effect on performances pertaining to both profit-making and public interest. Through this study, the importance and the necessity of the improvement of consulting services and network activities of social enterprises were highlighted and the necessity of a new consulting principle in the consulting industry that can be specialized to social enterprises is proposed.

• Journal of Internet Computing and Services
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• v.14 no.2
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• pp.15-24
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• 2013

In recent years, the number of social network system has grown rapidly. Among them, social bookmarking system(SBS) is one of the most popular systems. SBS provides network platform which users can share and manage various types of online resources by using tags. In SBS, it can be possible to reflect tag and time in order to enhance the quality of personalized recommendation. In this paper, we proposed recommender system which reflect tag and time at weight generation and similarity calculation. Also we adapted proposed method to real dataset and the result of experiment showed that the our method offers better performance when such information is integrated.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.601-616
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• 2016

Purpose: The purposes of this study are (1) to examine why users commit to M-SNG and (2) to understand what factors impact M-SNG users' enjoyment, motivation and commitment. Methods: We use a questionnaire survey to collect 190 data on users' perception on M-SNG. we also use a structural equation modeling method with Smart PLS 3.0 Results: Playfulness, design aesthetics, competition and social identity are found to be statistically significant factors affecting enjoyment and motivation. Also, enjoyment and motivation are found to be statistically significant factors affecting commitment. Conclusion: We suggest three points of view as game factors, socio-game factors, and social factors. Game factors are more important than other factors. Also, enjoyment is a more powerful factor than motivation in affecting user's commitment to using M-SNG.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.347-359
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• 2013

The quality control of data is important element in data usage activations and decision makings. This paper is on how to extract the major critical data by each institution or organization selves. It proposes a social network analysis as a way to extract a table of high influence degree from a dynamic meta-data. The proposed CTQ data extraction method using SNA proved the fact that it is possible to extract highly accurate CTQ data by scientific measures of three-dimensional approach to real business situations without professional technicians. It is a new way that will change the goings on CTQ data management in IT sector and will improve the quality management level of an organization when applied to the real world.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.171-189
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• 2018

To remove software defects and improve performance of software, many developers perform code inspections and use static analysis tools. A code inspection is an activity that is performed manually to detect software defects in the developed source. However, there is no clear criterion which source codes are inspected. A static analysis tool can automatically detect software defects by analyzing the source codes without running the source codes. However, it has disadvantage that analyzes only the codes in the functions without analyzing the relations among source functions. The functions in the source codes are interconnected and formed a social network. Functions that occupy critical locations in a network can be important enough to affect the overall quality. Whereas, a static analysis tool merely suggests which functions were called several times. In this study, the core functions will be elicited by using social network analysis and DEA (Data Envelopment Analysis) for CUBRID open database sources. In addition, we will suggest clear criteria for selecting the target sources for code inspection and will suggest ways to find core functions to minimize defects and improve performance.