• Korean Journal of Computational Design and Engineering
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• v.20 no.3
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• pp.254-262
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• 2015

This study proposes an approach to Product Data Management (PDM) education for collaborative product data management, which can support collaborative product development process. This approach introduces social media and a PDM system into a framework for PDM education supported by consistent product development process and product data model. It has been applied to two PDM classes and the result shows that the social media in PDM education can support not only experiences of the collaborative product data management but also interactive and informal communications among instructors and participants using integrated social media with product data during courses.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.71-86
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• 2013

This research explores the question how interactions between customer and firm affect firm growth. To test suggested hypotheses, this study collects data on social commerce industry in Korea during the period from the beginning of social commerce industry in Korea, May 2010, to March 2012, and investigates the effect of social media on the growth of social commerce firms. We suggest two hypotheses in this study. First, as web traffic inflow through social media into a focal social commerce increases, the growth rate of the focal social commerce increases. Second, the more diverse social media channel through which web traffic inflows into a focal social commerce, the weaker the positive effect of web traffic inflow on the growth rate of the focal social commerce. Analysis of data shows that inflow through social media is positively related to the growth of social commerce. In addition, our analysis shows that inflow channel diversity weakens the positive relationship between web traffic inflow through social media and growth rate of social commerce firms. These results suggest that firms need to concentrate on few social media in order to attract customers. The study contributes to understanding how interaction between firms and customers influences the growth of the firm.

• Journal of Distribution Science
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• v.19 no.8
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• pp.37-46
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• 2021

Purpose: This study aims at investigating how high-tech SMEs can enhance innovation performance through the application and distribution of social media strategic capability and whether entrepreneurial orientation moderates the relationship between social media strategic capability and innovation. Research design, data, and methodology: The study followed a deductive approach based on the quantitative design in investigating the proposed relationships. The data was collected using a questionnaire, and the proposed relationships were examined based on a sample of 221 high-tech SMEs through the application of structural equation modeling (SEM). By applying SEM, this study accounted for hidden and unobservable factors as well as reconciled the potential measurement errors. Results: As hypothesized, it was confirmed that social media strategic capability positively influences innovation performance. Besides, the findings supported the moderating effect of three dimensions of entrepreneurial orientation (innovativeness, proactiveness, and risk-taking) toward the relationship between social media strategic capability and innovation performance. Conclusions: According to the results, high-tech SMEs can enhance their innovation performance through social media by distributing and applying social media strategic capability along with entrepreneurial orientation. This study thereby enriches the literature of innovation on high-tech SMEs for implementing social media strategies as well as stimulating future social media research for entrepreneurship.

• The Journal of Industrial Distribution & Business
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• v.9 no.11
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• pp.25-38
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• 2018

Purpose - This study aimed to identify the sub-dimensions of fashion social media quality (information quality, social quality, service quality, system quality) and investigate how they affect purchase intention through fashion information use behavior (information acceptance, information diffusion). Research design, data, and methodology - Data collection was carried out twice for systematic verification of the research model. In the first data collection, the reliability and validity of research variables were verified through 238 respondents and questionnaires were revised and supplemented based on their responses. In March 2018, the final survey was conducted from 755 respondents the age of 20 to 49. Using SPSS 23.0, descriptive statistics, exploratory factor analysis, correlation analysis were performed. In order to test hypotheses, structural equational modeling technique was employed using AMOS 23.0. Results - First of all, fashion Social media quality consists of four factors including information quality, social quality, service quality and system quality. Second, fashion Social media information quality, social quality, and system quality were shown to have a positive(+) effect on information acceptance behavior, and social quality, service quality and system quality were shown to have a positive(+) effect on information diffusion behavior. It was also determined that the acceptance and diffusion behaviors of fashion information through fashion Social media had positive(+) influence on purchase intention. Conclusions - This study holds academic significance in its identification of the components of fashion Social media quality and for conducting an empirical analysis on the causal relationship between fashion information acceptance and diffusion behaviors, and purchase intention. The results of this study indicate that fashion involvement is the key factors in determining the quality of Social media, the acceptance of information through Social media, and, by extension, the purchase of fashion products. Practitioners in the fashion industry may use the findings of this study in order to build more effective Social media strategy.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.904-915
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• 2018

We demonstrate how social media content can be used to predict the unemployment rate, a real-world indicator. We present a novel method for predicting the unemployment rate using social media analysis based on natural language processing and statistical modeling. The system collects social media contents including news articles, blogs, and tweets written in Korean, and then extracts data for modeling using part-of-speech tagging and sentiment analysis techniques. The autoregressive integrated moving average with exogenous variables (ARIMAX) and autoregressive with exogenous variables (ARX) models for unemployment rate prediction are fit using the analyzed data. The proposed method quantifies the social moods expressed in social media contents, whereas the existing methods simply present social tendencies. Our model derived a 27.9% improvement in error reduction compared to a Google Index-based model in the mean absolute percentage error metric.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.358-368
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• 2022

Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.163-170
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• 2021

As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.

• Journal of Families and Better Life
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• v.35 no.1
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• pp.107-124
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• 2017

Consumer citizenship is essential for better market and economy, and social capital plays an important role for raising consumer citizenship. This study explored the types of social capital developed on social media, and investigated the relationship between consumer citizenship of college students and social capital. Using data from 263 undergraduate students currently using social media, K-mean cluster analysis, one-way ANOVA, Duncan's multiple range test, chi-squared test, and multiple regression analysis were conducted. The major results were as follows. First, four types of social capital on social media were identified: mediocre social capital, instrumental-centered social capital, weak social capital, and strong social capital. Second, socio-demographic characteristics variables such as gender and work experience showed significant difference by type of social capital through social media. In addition, the most used social media and time for using social media variables showed significant difference by type of social capital through social media. Third, controlling for socio-demographic characteristics and social media usage pattern, the types of social capital had a significant effect on consumer citizenship. Based on the results, the implications for consumer education to develop consumer citizenship were suggested.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.99-110
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• 2018

Purpose - The purpose of this study is to investigate the relationship among narcissism, usage motives, usage behaviors, satisfaction with and continuance intention to use fashion social media. Research design, data, methodology - A questionnaire survey was used to collect data after conducting a pilot test. Based on the reliability test of the preliminary questionnaire used for the pilot test, the questionnaire was revised. The final questionnaires were administered to 238 fashion social media users and 216 were used for the data analysis. To assess the validity of these measures, exploratory factor analysis and the confirmatory factor analysis were performed. Structural equation modeling analysis were employed for data analysis. Results - Five factors of the usage motivation of fashion social media were extracted: information-seeking, relationship-seeking, practicality-seeking, enjoyment-seeking and self-expression motives. The statistical analysis confirmed the influence of the narcissism tendency on all of the usage motives of fashion social media, three of the fashion social media usage motives influencing information diffusion behavior, and the influence of the information diffusion behavior on users' satisfaction and continuance intention to use fashion social media. Narcissism exerted the highest influences on self-expression motive followed by information-seeking, enjoyment-seeking, relationship-seeking and practicality-seeking motives in order. Factors affecting fashion information diffusion behaviors are practicality-seeking motive, self-expression motive, and relationship-seeking motive. The greater the diffusion of information, the higher the satisfaction with using fashion social media. The consumers with higher satisfaction intended to use fashion social media and share information more frequently. Conclusions - The results indicate that narcissism is an important factor in fashion social media usage motivation. The main motives for narcissistic people to spread information is for the practical purpose at the most, and then to express their personality and style, and to build relationship with others. The satisfaction through active information sharing behaviors seems to play a key role to lead high continuance intention of fashion social media. These implies that marketing strategies to satisfy consumers' narcissism and motives to use social media, and to stimulate the information diffusion behaviors can be used to meet their needs for higher satisfaction with fashion social media.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.3
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• pp.7-27
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• 2021

This study was carried out to examine the awareness and use of social media tools by library and information professionals (LIPs) in selected academic libraries in South-west, Nigeria and the challenges they face in the use of social media technologies. Descriptive survey was adopted for this study. The population of the study comprised 217 library and information professionals from 10 selected academic libraries in south-west, Nigeria. A total enumeration technique was used to cover all the library and information professionals, 136 respondents filled and returned the questionnaire, given a response rate of 62.7%. The questionnaire was used as instrument for data collection. Descriptive statistics was used to analyze the data collected. The findings show that majority of LIPs possessed a high level of awareness in the use of social media tools. The study also revealed that social network tools were highly used by LIPs in the academic libraries studied and the types of social media used by LIPs was also revealed. The major challenges faced in the use of social media include inadequate power supply, lack of Internet access and time constraints. The paper recommended that to enhance the use of social media by LIPs, there is need for constant awareness of the importance of social media tools to LIPs and libraries in effective service delivery, LIPs should be ready to learn, unlearn and be learned in the use of social media and university libraries should provide enabling environment such as internet connectivity, power supply and policy to guide LIPs in social media usage.