• Journal of Digital Convergence
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• v.18 no.2
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• pp.205-211
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• 2020

The method of predicting the future may be predicted by technical characteristics or technical performance. Therefore, technology prediction is used in the field of strategic research that can produce economic and social benefits. In this study, we predicted the future market through the study of how to predict the future with these technical characteristics. The future prediction method was studied through the prediction of the time when the market occupied according to the demand of special product. For forecasting market demand, we proposed the future forecasting model through comparison of representative quantitative analysis methods such as CAGR model, BASS model, Logistic model and Gompertz Growth Curve. This study combines Rogers' theory of innovation diffusion to predict when products will spread to the market. As a result of the research, we developed a methodology to predict when a particular product will mature in the future market through the spread of various factors for the special product to occupy the market. However, there are limitations in reducing errors in expert judgment to predict the market.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.161-170
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• 2007

E-Business has, nowadays, become a common commerce transaction. In the beginning, e-Biz has known as Electronic Commerce and has expanded its territory to department store's shopping mall, travel, finance, stock, and even luxury goods as car sales market. Considering these trends, this paper researched the environment of korean e-Biz market and suggested the picture of the matured and sound e-Biz market in Korea. We surveyed matured level of Critical Success Factors of e-Biz in terms of management. We also surveyed time based Critical Success Factors to analyze level of the Korean e-Biz market. These study's may provide us the knowledge about the prediction and preparation for changes in e-Biz market in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.3
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• pp.660-664
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• 2009

Over the past several years many researchers have attempted to explore the determinants of franchise restaurant success. This study is a research on the critical success factors of the franchise restaurant management which is expanding. The purpose of this study is to present right information to the managers of franchise restaurant fur their marketing and sales. The information is achieved from studying customers' intention. I also measured customers' satisfaction fur management of franchise restaurant and assessed maturation extent. In conclusion, The results show franchise restaurant's menu, atmosphere and accessibility are a considerable level in research results. However, franchise restaurant's brand, service, food, price and size are low level(determinants fact). Therefore, franchise managers have to complement a those factors. The result indicated that the points in time of forecast about the franchise restaurants CSFs are in 5 years mainly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1376-1379
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• 2009

Recently many Hotels have implemented and operated the Hotel Information System(HIS). These HIS-implementation evoke the significant changes in hotel management. So many interest and researches in HIS has received the spotlight from the hotel managements. Many researcher about HIS focused on the Critical Success Factors (CSF) from the viewpoint of HIS implementation. At this moment we need also the research about significance change of CSF with the laps of time. This kind of research are very critical for the successful operation of HIS. To achieve the objectives of this paper, the Innovation-Theory of E. M. Roger was implemented. As the result of this research we can get the various maturity point of each CSF with the laps of time. For the data gathering many major hotel in Korea were interviewed, and 84 valid questionaires were used for data analysis. The Cronbach's ${\alpha}$ was 0.7239, which means all data were significant.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6613-6620
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• 2014

In this paper, 228 cooperations supported by government were surveyed on the cognition levels of 5 factors for successful policies that support small business cooperation. Goal importance, awareness stage of importance, and current concerning level were scored to each question of factors. Using the results of previous studies, the maturity of each success factor, and the forecast time to mature and maturity of each question were analyzed. The results were compared with the results of a study precedent. Moreover, the changes in the participants' recognition levels were reviewed between before and after government's support. These comparative studies reflect government policies. Despite the government's supporting policies aided on building cooperation positively, the participants still worry about the decreasing government support. To allay these concerns, government policies should be implemented continuously to promote cooperation rather than a one-time support.

• Journal of Animal Science and Technology
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• v.45 no.5
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• pp.711-724
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• 2003

Some growth curve models were used to fit individual growth of 1,083 Hanwoo cows born from 1970 to 2001 in Daekwanryeong branch, National Livestock Research Institute(NLRI). The effects of year-season of birth and age of dam were analyzed. In analysis of variance for growth curve parameters, the effects of birth year-season were significant for mature weight(A), growth ratio(b) and maturing rate(k)(P〈.01). The effects of age of dam were significant for growth ratio(b) but not significant for mature weight(A) and maturing rate(k). The linear term of the covariate of age at the final weights was significant for the A(P〈.01) and k(P〈.01) of Gompertz model, von Bertalanffy model and Logistic model. For the growth curve parameters fitted on individual data using Gompertz model, von Bertalanffy model and Logistic model, resulting the linear contrasts(fall-spring), Least square means of A in three nonlinear models were higher cows born at fall and A of Logistic model was significant(P〈.05) between the seasons. According to the results of the least square means of growth curve parameters by age of dam, least square means of mature weight(A) in Gompertz model was largest in 6 year and smallest estimating for 3 and 8 years of age of dam. The growth ratio(b) was largest in 2 year of age of dam and smallest estimating in 8 year. The A and k were not different by age of dam(p〉.05), On the other hand, the b was different by age of dam(p〈.01). The estimate of A in von Bertalanffy model was largest in 6 year and smallest in 8 and 9 years of age of dam. The b was largest in 2 year and tend to decline as age of dam increased. The A and k were not different by age of dam(p〉.05), On the other hand, the b was highly significant by age of dam(p〈.01).

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.59-76
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• 2023

In this study, we tried to find out port safety from various perspectives through news data that can be easily accessed by the general public and domestic academic journal data that reflects the insights of port researchers. Non-negative Matrix Factorization(NMF) based topic modeling was conducted using Python to derive the main topics for each data, and then semantic analysis was conducted for each topic. The news data mainly derived natural and environmental factors among port safety risk factors, and the academic journal data derived security factors, mechanical factors, human factors, environmental factors, and natural factors. Through this, the need for strategies to strengthen the safety of domestic ports, such as strengthening the resilience of port safety, improve safety awareness to broaden the public's view of port safety, and conduct research to develop the port industry environment into a safe and specialized mature port. As a result, this study identified the main factors to be improved and provided basic data to develop into a mature port with a port safety culture.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.209-215
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• 2023

The untact environment brought about by the global pandemic has emerged as a new driving force for the matured social media market. In the post-coronavirus era, there arises a pivotal need for foundational data to reconfigure the operations and utilization strategies of social media. Using data from the 2022 Korean Media Panel Survey, this study compared sociodemographic and personality factors between social media non-users and users, and examined how these factors influenced social media usage time. The findings indicate differences between social media non-users and users in terms of gender, age, education level, income level, employment status, marital status, openness to experience, conscientiousness, extraversion, and neuroticism. Usage time of social media is influenced by gender, age, income level, employment status, conscientiousness, and agreeableness. These results are anticipated to enhance the understanding of users and their usage behaviors for stakeholders in the social media market as they confront a potential second leap forward.

• Informatization Policy
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• v.24 no.1
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• pp.79-99
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• 2017

Despite the early success story, the pan-industry diffusion of big data has been slow mostly due to lack of confidence of the value creation and privacy-related concerns. The problem leads us to the need to a stakeholder analysis on the adoption process of big data. The present study combines technology acceptance model, task-technology fit theory, and privacy calculus theory to integrate the positive and negative factors on the big data adoption. The empirical analysis was performed based on the survey from the current and potential big data users. Results revealed perceived usefulness, task-technology fit, and privacy concern are significant antecedents to the intention to use big data. Furthermore, there are significant differences in the perceptions of each constructs among groups divided by the types of big data use, with several exceptions. And the control effect was found in the magnitude of the relation between independent variables and dependent variable. The theoretical and politic implications of the analysis are discussed as to the promotion of big data industry.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.197-204
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• 2009

This study aims to examine the realistic self-esteem of adolescents and perception of adolescents toward avatar in an attempt to understand basic aspects of their distinctive lifestyle fundamentally relative to the cyber culture on the web, given that the adolescent which is significant in forming self-esteem period plays an important role in the psychological aspect of adolescents. As for method of research, this study analyzed the self-esteem of users, their preference for avatar, and the perception toward avatar, in order to understand their psychological and social maturity. The result of study indicated that the increased self-esteem in reality among the adolescents led to the increased preference for avatar relative to the cyber culture on the web, which in turn increased the recognition of others' avatars. Those findings suggest that adolescents tend to assign self-esteem to avatar as great as themselves. Thus, it may be important to help adolescents form their self identity from the perspective psychological maturity, so that a sound and healthy web culture can be formed depending on the formation and level of self-esteem among adolescents.