• Journal of Korea Technology Innovation Society
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• v.7 no.1
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• pp.182-206
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• 2004

This is the review of 2,500 cases on the trend analysis of technology and market. We find the fact that the patterns of trend analysis are defined by the purpose and size of the series and analysis, not by the difference of experience, educational background, country or organization. Based on these facts, we define 14 types of the analysis of technology and market. Also we conceptualize several patterns of the analysis in methodology, techniques, analytical index, structure, information source and the value by types of trend analysis.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.195-200
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• 2018

Recently, as the sensor and big data analysis technology have been developed, there have been a lot of researches that analyze the purchase-related data such as the trajectory information and the stay time. Such purchase-related data is usefully used for the purchase pattern prediction and the purchase time prediction. Because it is difficult to find periodic patterns in large-scale human data, it is necessary to look at actual data sets, find various feature patterns, and then apply a machine learning algorithm appropriate to the pattern and purpose. Although existing papers have been used to analyze data using various machine learning methods, there is a lack of statistical analysis such as finding feature patterns before applying the machine learning algorithm. Therefore, we analyze the purchasing data of Songjeong Maeil Market, which is a data gathering place, and finds some characteristic patterns through statistical data analysis. Based on the results of 1, we derive meaningful conclusions by applying the machine learning algorithm and present future research directions. Through the data analysis, it was confirmed that the number of visits was different according to the regional characteristics around Songjeong Maeil Market, and the distribution of time spent by consumers could be grasped.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.232-242
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• 2010

The purpose of this study is to provide basic data for forthcoming liquor development and market diversification by finding out the consumers' characteristics related to their patterns of choosing liquor and identifying the liquor consuming patterns. For the study, a survey questionnaire was composed of 11 questions related to the considerations by the consumers in choosing liquor, 5 questions on their demographics, and 5 questions on the types of choosing liquor. The survey was conducted between October 21st and November 1st of 2007 to 400 adults over 19 years old residing in Korea, and then sorted out 377 out of 400 for the analysis. As for the analysis, frequency analysis, K-means clustering, and correspondence analysis were employed. In order to find out the choice considerations associated with the perception of liquor, consumers were divided into four equivalent groups, and liquor consuming patterns and demographics were investigated based on the empirical study.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.269-281
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• 2015

The objective of this study is offering new on line business model for automotive market. In order for the research aim, we conduct direct in-depth interviews with CEO, including analysis of business patterns on eight automotive firms in Gwangju city. As a result, we suggest new business model so called, Online to offline (o2o) that combines advantages in both off-line and on-line business. Techniques that o2o automotive companies may employ include in-store pick up of items purchased online, allowing customers. Purchasing the automotive is not only a car but also services including insurance, warrant services. o2o business model suggested shows the operating of the goods and service sale. When it comes to characteristics of automotive conventional sale patterns, utilization of the online-to-offline commerce has not eliminated the advantages that e-commerce companies have. That model can enhance the new values for customers as well as new market creation. Also, this new business model (o2o) can contribute the emerging industry business model installed based in particular, emergence of Iot (Internet of thing) in terms of sharing knowledge and information between enterprise and customers.

• International Journal of Advanced Culture Technology
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• v.5 no.4
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• pp.15-19
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• 2017

With the increased economic profit in China, people tend to give more attention to the nurturing of children. The change in the food markets directly connected to the infants' health seem to have brought various consumption patterns different than before. Based on the actual condition survey operated by this research, the expansion in the scale of consumption and preference to the imported food for infants appeared in the Chinese food markets for infants. The rapidly increased amount of the online purchases of the food for Chinese infants was checked through the condition survey. Based on the analysis results, with the purpose of increasing the purchase opportunities of the Korean food for infants to the Chinese consumers, it should not only perform the promotion activities such as the promotion for the product's superiority and various promotional event, but also establish the pricing strategy for each entry step to the Chinese market. Because the purchase experience of the Korean food for infant plays the important role for the additional payments decision, it is estimated that there is a need to expand the opportunities for the Chinese consumers to approach the Korean food for infants both directly and indirectly.

• Proceedings of the Technology Innovation Conference
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• 1997.12a
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• pp.177-196
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• 1997

The engineering industry plays an important role for national competitive, since it has an high impact on other industries. With its importance, the engineering industry development largely depends on its technical manpower ather than capital factor. This study aims at estimating the additional requirement on technical manpower based on the forecasted market size which represents the structure change corresponding to economic growth in related industry. Research scope includes the twelve of fifteen field except three with insufficient historical data and technical manpower above bachelor degree. Specialty, we forecast market size with determinants resulted from historical data analysis on each field. The demand on technical manpower is derived from the forecasted market. We also estimate an additional requirement with the supply analysis. The research results show different patterns over time period. The relative ratio on chemical and construction to total market will steadily grow over short term, while applied, environment, electronic and information will rapidly grow This pattern will be stabilized over mid or long term. The additional requirement on technical manpower represents the similar pattern to market growth. The research result implies manpower policy for having high inflow of technical engineer from educational institute and the related industries through the image improvement.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.117-119
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• 2004

Biometrics are best defined as measurable physiological and behavioral characteristics that can be utilized to verify the identity of an individual. Biometric technologies will continue to improve, becoming even more accurate and reliable as technology evolves. In this paper, we review the state of the hand vascular patterns identification technology and analyse the opportunities and threats of the technology in the markets.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.93-116
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• 2006

The purpose of this study is to contribute reference material that provides insight into innovative process management that increases R&D output in commercializing new products. A model of a process from research to commercialization with the cumulative profit and loss curve is put forward and hypotheses related to success and failure are developed at the stages up to product launch. Seventeen large projects that have resulted in successful product launches have been examined from the initial research stage to commercialization. Prefect duration, standardized cumulative R&D expenditures and research resource concentration are analyzed in terms of statistical method and patterns in cumulative profit and loss curves after product sales, as well as the reasons for and other aspects of success/failure are investigated and analyzed. Consequently, valuable information on future management tasks has been obtained such as: (1) project duration differs depending on market sectors, product types and presence/absence of materials research (2) cumulative profit and loss curves can be categorized into four patterns (3) reasons for failure can be divided into technological and market problem categories and (4) these factors have an impact on product sales.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.189-198
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• 2012

The demand of smart phone that recently came into spotlight as a new media is sharply increasing not only in Korean market but also in worldwide market but the academic study on this is still in the beginning stage. Hence, it would be a well-timed topic for discussion to make a systematic investigation and analysis. The technology acceptance model used in this study as a theoretical frame can set various external factors in introduction of new information technology as variables. This study made an assumption that such external factors would influence on perceived usefulness, easiness and amusement and such perceived awareness would make an impact on user's satisfaction and repurchase intention. This study proposed an empirical model in order to find out the recommendations and repurchase intention for new media, smart phone. This study model was validated to be very effective model that can explain more concretely and systematically for repurchase of smart phone. In conclusion, this paper illustrates a paradigm shift in smart environment to smart device manufacturers under fierce competition in the world market as well as various analysis results on consumer's use patterns according to such paradigm shift, which shall be utilized as useful information when establishing a marketing strategy for smart phone.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.227-233
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• 2016

Google Trends provides weekly information on keyword search frequency on the Google search engine. Search volume patterns for the search keyword can also be analyzed based on category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search keyword. All this information is kept up to date, and allows trend comparisons by providing past weekly figures. In this study, we present a predictive model for TV markets using the searched data in Google search engine (Google Trend data). Using a predictive model for the market and analysis of the Google Trend data, we obtained an efficient and meaningful result for the TV market, and also determined highly ranked countries and cities. This method can provide very useful information for TV manufacturers and others.