• Asia pacific journal of information systems
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• v.18 no.2
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• pp.73-94
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• 2008

When individuals collaborated in virtual settings, communication is medicated through a variety of communication technologies, and is associated not only with communication effectiveness but also with socio-emotional interactions among group members. In this regards, scholars have examined how technology-mediated communication systems can be designed and used to facilitated communication interaction. However, the empirical results of the previous studies have revealed inconsistencies in the effects of communication media on users' behavioral or attitudinal responses, and on their viable effectiveness in organizations. Some studies claim that computer-mediated communication(CMC) is task-oriented but not suitable for emotional expression since it hinders close interpersonal interaction. On the other hand, some studies argue that individuals are able to develop interpersonal relationships more effectively in a CMC environment than in an FtF-environment. Due to the different perspectives, a theoretical gap exists, and it leads to the inconsistent research findings. The purpose of this paper is to combine the two different perspectives into single unified model, thereby providing a more realistic and comprehensive understanding about virtual collaboration. The present study here sought to answers the following questions with organizational communication perspective: What are the major components of virtual collaboration? What factors affect the performance of virtual collaboration? And what kind of managerial efforts should organization make in order to facilitate CMC media effectiveness in virtual collaboration? Although there is a certain belief that new media, namely technology-mediated communication support would create new opportunities, the problem of "how" or "why" has been an important question that is still not fully addressed. In this regards, we collectively reexamined previous literatures with major issues which are still controversial and integrated various theoretical activity within computer-mediated communication domain: task-oriented approach, socio-emotional approach, and evolutionary psychological approach. Our first contribution is to develop a framework for virtual collaboration by combining two different perspectives into a single unified model, providing a more realistic and comprehensive understanding. The second main contribution is the joint modeling of both social presence and cognitive effort, and the effects on two distinct but important communication outcomes(i.e., take performance and relational development). We tested the research hypotheses which were developed based on the various CMC theories using data gathered through a self-administered mail survey of 127 individuals of 69 virtual workgroups. The proposed model was supported, providing preliminary evidence that the tension between two opposite view should be integrated. The results show that the individual's psychological processes(social presence and cognitive effort) in a virtual environment significantly mediated the effect of CMC inputs (media richness, user adaptation, and shared contest) on the CMC outputs (task performance and relational development). Furthermore, this study shows that the lack of perceived media richness of CMC media can be complemented by user adaptation and shared context. Based on the results, we discuss how communication system should be designed and implemented so as to promote virtual interaction as well as how a virtual workgroup should be composed to complement the lack of media richness. A virtual collaboration using CMC media may create new value by overcoming the logistical constraints. On the other hand, it may also generate various managerial risks such as communicational depersonalization, process dissatisfaction, and low cohesion. Therefore, this study suggests that organization managers should carefully choose the CMC mediums and monitor individual member's cognitive and affective psychological processes during virtual collaboration to reduce potential risks in virtual collaboration.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.131-144
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• 2020

As the blockchain technology attracts attention, interest in cryptocurrency that is received as a reward is also increasing. Currently, investments and transactions are continuing with the expectation and increasing value of cryptocurrency. Accordingly, prediction for cryptocurrency price has been attempted through artificial intelligence technology and social sentiment analysis. The purpose of this paper is to develop a deep learning ensemble model for predicting the price fluctuations and one-day lag price of cryptocurrency based on the design science research method. This paper intends to perform predictive modeling on Ethereum among cryptocurrencies to make predictions more efficiently and accurately than existing models. Therefore, it collects data for five years related to Ethereum price and performs pre-processing through customized functions. In the model development stage, four LSTM models, which are efficient for time series data processing, are utilized to build an ensemble model with the optimal combination of hyperparameters found in the experimental process. Then, based on the performance evaluation scale, the superiority of the model is evaluated through comparison with other deep learning models. The results of this paper have a practical contribution that can be used as a model that shows high performance and predictive rate for cryptocurrency price prediction and price fluctuations. Besides, it shows academic contribution in that it improves the quality of research by following scientific design research procedures that solve scientific problems and create and evaluate new and innovative products in the field of information systems.

• Journal of Agricultural Extension & Community Development
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• v.15 no.4
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• pp.659-681
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• 2008

The purpose of this study is to empirically analyze factors that influence farm managers' intentions to use an agricultural farm management information systems. It focused on "LFcenter System," a leading information system operated by the Rural Development Administration for farm management. Participants of this study are classified into two groups: a group of leading farm managers and a group fo regular farm managers. A total of 192 survey samples on users' intentions are collected; 85 samples from leading farm managers and 107 from regular farm managers. The theoretical background of this study is developed based on Theory of Reasoned Action(TRA), Technology Acceptance Model(TAM), Diffusion of Innovation(DOI), Social Cognitive Theory(SCT), and Theory of Planned Behavior(TPB). Partial Least Squares(PLS) method is used to test a proposed Structural Equation Model(SEM), including nine hypotheses. The differences between two groups are investigated using Smith-Satterthwait test. The findings from this study are: First of all, in terms of average comparison of most variables used in this study, a group of leading farm managers shows higher value that the other group in most cases. Second, hypothesis tests how that "subjective norms", "goal to study", "perceived usefulness", "perceived enjoyment", and "intention to use" significantly influence the intention to use an agricultural management information system in the group of leading farm managers. However, "subjective norms", "goal to study", "perceived ease of use", "perceived usefulness", "perceived enjoyment", and "intention to use" turned out to significantly influence the intention to use an agricultural management information system in the group of regular farms managers. Based on the results of Smith-Satterthwait test, compared with a group of leading farms managers, the impact of "goal to study" on "intention to use" is significantly stronger. On the other hand, in the group of leading farms managers, "perceived usefulness" and "perceived enjoyment" turned out to be main drivers of "intention to use."

• STI Policy Review
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• v.8 no.2
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• pp.23-48
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• 2017

This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.97-107
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• 2006

The deviant behaviors on cyberspace in Korea are increased recently because of the unbalanced development between the social ethics and the technological improvement on information and communication technology. To overcome this, educations on information and communication ethics are executed in school. However most of the educations is to deliver the knowledge on the disfunction of informationization and rules of netiquette without the analysis of the psychological characteristics on the cyberspace. Therefore, educations on information and communication ethics, in which the changes of social behaviors and value attitude are essential, is ineffective by making the students as passive and enervated users. In this research, we developed a teaching-learning model for cultivating consciousness of information and communication ethics by the establishment of ego identity on cyberspace and then proved the effectiveness by the experiment in school. Students can raise their abilities on active dealing with the given situation and context according to this teaching-learning model.

• Human Ecology Research
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• v.54 no.4
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• pp.397-404
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• 2016

This study analyze factors influencing the dietary life of Korean women. This study analyzed 653 women aged 19 (and over) in Korea using materials developed by Social Sciences Korea Food Sustainability Study Group in 2015. As a result, in dietary life characteristics, females with higher education in their 40s and 50s and with a high income level, married women, and women thinking are subjectively healthy and show a statistically significant difference compared to other groups. Next, a correlation analysis is conducted to examine the relationship between independent variables and dietary life. The results showed a positive relationship with all variables, and a high correlation in the sales recognition of homegrown products (r=.384), the recognition of a food environment (r=.349), the recognition of food welfare (r=.325), and the recognition of food safety (r=.322). Factors that influence dietary life are extracted and the causal relationship is verified through multiple regression analysis of which the dependent variable is dietary life. In a regression model of dietary life, the researcher finds the trend that explanation power increases by models that the variable group is added in an individual model ($R^2$ is changed from .090 to .215 and from .250 to .273). Subsequently, age, level of education, recognition about value of organic agricultural product, recognition about the sales of homegrown products, recognition of food environment, recognition of food safety, and recognition of food insecurity are factors that influence the dietary life of women.

• Korean Journal of Community Nutrition
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• v.20 no.3
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• pp.165-177
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• 2015

Objectives: Based on individual and environmental characteristics of low-income children, we developed a nutrition education program for school-aged children from low-income families according to effective use in social welfare centers. Methods: We conducted in-depth group interviews to assess program needs in 28 participants, 10 low-income school-aged children and 9 of their care givers, 9 social workers and 9 care-givers. Theoretical backgrounds of our program were heath belief model and social cognitive theory considering motivation, action and environment characteristics. Results: Based on the findings of this qualitative study, we developed major program themes and contents. Five selected key themes were 'balanced diet', 'processed food', 'food hygiene and safety', 'Korean healthy traditional diet', and 'family cooking' to induce changes in dietary behaviors. Main findings of in-depth group interviews included 'child's active participation', 'simple and easy to understand messages', and 'environmental constraints' such as a lack of child care at home, limited budget of social welfare centers, and less qualified educators for nutrition and health. Each lesson was constructed as a 1-hour program particularly emphasizing activity-based programs, including cooking and teamwork exercises. Program contents in each session consisted of activities that could induce outcome and value expectations, self-efficacy, perceived benefits, and barriers and cues to actions regarding diet behavior. Conclusions: We developed a nutrition education programthat is rarely available for low-income children in Korea, considering theoretical bases. Further studies are needed to validate our program.

• Korean Journal of Social Welfare
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• v.57 no.4
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• pp.67-90
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• 2005

The purpose of this study is to analyze factors to affect low fertility and to investigate its implications to social welfare. For the purpose, I surveyed 360 married women and men in Gyeongnam province, and employed multi-regression, logistic regression model to process the data. I analyzed factors to influence low fertility in three aspects: demographic feature, socio-economic status, and personal sense of value. The results of analysis can be summarized as follows: (1) the period of marriage in demographic feature, income level in social economic status, and the necessity of children in personal sense of value are important factors to affect the current fertility level, (2) period of marriage, total numbers of children, gender of the first child are determining the future childbirth in demographic feature. Secondly, income level is interrelated to the future childbirth in socio-economic status. Thirdly, in the aspect of personal values, how much one needs to get married, how much one prefers son to daughter, how much one relies on one's children to realize one's dream are interrelated to the future childbirth, (3) the cost of bringing up a child as well as he expense of private education, lacking of a day nursery, and economic difficulty are causes to make people to postpone or give up childbirth. These results suggest that development of population policy to promote women's social participation and to strengthen family welfare as well as social welfare is necessary. These also implicates that if we pursue integrated policies on women, childcare, and education, we can get much more effective population welfare policy.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.337-351
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• 2022

With the full spread and rapid development of social media, the trend of decentralization of social media information propagation is becoming clearer day by day, and the segmentation of time by audiences using social media information is clearly progressing. Therefore, this study aims to study the influence relationship between social media attitudes toward fake news, social capital, risk perception, and discriminant intentions based on existing studies. Accordingly, the research model presented related research questions and organized a questionnaire to collect a total of 500 valid surveys. The SPSS 26.0 program and the AMOS 24.0 program were used to analyze the data. The research results are as follows. First, the more positive the user's attitude towards the fake news identification intention of social media, the more they want to use various methods or tools to identify the authenticity of online information. Second, the more positive the user's attitude towards social media fake news, the more aware of the potential threats social media fake news poses to their own physical, psychological, financial and so on. At the same time, by raising one's own awareness of the dangers, counterintelligence intentions against fake news on social media will also increase. Third, the richer the social capital the user has, the stronger the information literacy, and therefore the stronger the identification intention of social media fake news. Fourth, the higher the value of social capital Chinese users have, the greater the damage they have suffered from fake news, and the higher the risk awareness of fake news to protect their interests. Fifth, it means that Chinese users recognized information suspected of social media and took corresponding measures.

• Korean Journal of Social Welfare
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• v.62 no.4
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• pp.377-402
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• 2010

This study examines the effects and process of housing poverty on children's physical health, internalizing problems and academic achievement using the first Korea Welfare Panel Study. The results show that sub-minimum standard housing condition and housing expenditures have increased the housing instability, non-study activities, while harming parent's health and decreasing non-housing expenditures. And this process negatively affects children's internalizing problems and academic achievement. The findings of this study have value for controlling the confounding factors as income poverty, neighborhood poverty and characters of household. This research is significant in that it develops the theoretical model of housing poverty and suggests the necessity of interventions to alleviate housing poverty.