Earticle

The growth of information and communication technology (ICT) has led to a rapid of business paradigm shift incurred in the creation of new social/market value, changes of a value chain and elements producing a value creation, and enlargement of the scope of market competition. It leads to the change and evolution of industrial structure, requiring innovations of policy and institution. However, most studies that have focused on the effect of policy and institution on innovation are based on thick description and qualitative evidence, while paying little attention to these linkages in an empirical way. Hence this study has attempted to empirically analyze policy and institutional factors affecting innovation performance, particularly attention to ICT industry in OECD countries. The findings derived from the empirical analysis provide important implications for catch-up countries in relation to the innovations of policy and institution for effective innovation system and start-up ecosystem.

Asset prices decline sharply and stock markets collapse when financial crisis happens. Recently we have encountered more frequent financial crises than ever. 1998 currency crisis and 2008 global financial crisis triggered academic researches on early warning systems that aim to detect the symptom of financial crisis in advance. This study proposes a risk recovery index for detection of good opportunities from financial market instability. We use SVM classifier algorithms to separate recovery period from unstable financial market data. Input variables are KOSPI index and V-KOSPI200 index. Our SVM algorithms show highly accurate forecasting results on testing data as well as training data. Risk recovery index is derived from our SVM-trained outputs. We develop a trading system that utilizes the suggested risk recovery index. The trading result records very high profit, that is, its annual return runs to 121%.

According to the price-decline effect, the art auction prices are known to decrease with the order of auction sale. Our empirical study investigates the presence for the price-decline effect using the data for Korean antique art hosted by the Seoul Auction in September, 2015. We apply the Hedonic price model to the data and examine the relation between the sale order and auction price. Our empirical evidences show that the well-known price decline effect is not present for the case of Korean antique auction in 2015. We confirm our results by estimating the ordered probit model. From the view of the price-decline effect, our results suggest that the Korean antique auction data exhibits different characteristics from most of the foreign art auction data.

Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer’s shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer’s brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network ( BBN ) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.

The purpose of this study is to prove empirically that technology investment propency factors (TIPFs) refect on the technological competitive advantage (TCA) and management performance. It includes the role of open technology innovation (OTI) approach is mediate to TCA from technology investment propensity. Especially the three TIPFs are market orientation, innovation orientation and strategy orientation. The analysis were performed based on the respondents’ data from 181 firms focusing to technology innovation and information technology. The suggested research assumptions including structured equation model were proved. Therefore, this study emphasizes that CEO or CTO must concentrate on innovative, strategic and market oriented propensity when he makes a decision on technology investment. An open innovation approach is effective for getting high TCA and management performance in technology intensive firms such as technology innovation and information technology.

In this paper, we present the DEA (Data Envelopment Analysis) application case study to investigate the regionally distinctive telco management characteristics of the Asia-Pacific countries. This study attempts to exploit the implications of DEA for the assessments of core process capabilities of telcos. Accordingly, we extract input variables of CAPEX (capital expenditure), operating expense, marketing expense, and number of employees, each to reflect the competitiveness of the core processes such as fixed asset utilization, operation & sales efficiency, and white collar productivity. In conjunction with the input variables, the output variables are chosen as EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization), ARPU (Average Revenue per User), and number of subscribers. The computational testing results, conducted with total 37 telcos of the 12 Asia-Pacific countries, are analyzed in various ways to understand the distinctive performance characteristics across the region. The managerial implication captured from this study provides useful insight for using DEA as the international telco management purpose.

In this paper, we suggested a model that reflects the role played by the consumer’s regulatory focus (promotion focus and prevention focus) as determinant factors of trust in the Web site. Also, we considered the moderating effects of consumers' purchasing experience toward online shopping. We conducted a two-month survey of 230 individuals using online shopping sites for hypotheses testing. The study results are summarized as follows. Firstly, promotion focused consumers showed higher trust to a web site compared to prevention focused consumers. Secondly, the moderating effect of purchasing experience between regulatory focus and consumer trust to a web site is statistically significant. The effect of a prevention focused consumers on consumer trust to a web site is stronger when purchasing experience toward online shopping is high compared to low. Based on these findings, this study presents practical and academic implications of the research.

Software reliability in the software development process is an important issue. In infinite failure non-homogeneous Poisson process software reliability models, the failure occurrence rates per fault. can be presented constant, monotonic increasing or monotonic decreasing pattern. In this paper, the reliability software cost model considering decreasing intensity function was studied in the software product testing process. The decreasing intensity function that can be widely used in the field of reliability using power law process, log-linear processes and Musal-Okumoto process were studied and the parameter estimation method was used for maximum likelihood estimation. In this paper, from the software model analysis, we was compared by applying a software failure interval failure data considering the decreasing intensity function The decreasing intensity function model is also efficient in terms of reliability in the arena of the conservative model can be used as an alternating model can be established. From this paper, the software developers have to consider life distribution by preceding information of the software to classify failure modes which can be gifted to support.

The Korean government has implemented various policies such as establishing new major/department and operating a variety of education programs related with cybersecurity. However, it has not yet been constructed virtuous cycle that can provide appropriate education and training to professionals with the high level and quality. In this study, by surveying and analyzing satisfaction about education and training program aimed at employees in public sector who are in charge of cybersecurity, we suggest the direction of education and training for cybersecurity experts required at the national level.