• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.145-151
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• 2012

In this paper, we study the relationships between organization characteristics and desired software quality attributes of enterprise systems. We collected data from three client organizations in three different domains (auto manufacturer, insurance services firm, and government agency) that adopted enterprise software of the same software vendor. Our analysis discovers that capability is a more important attribute to the manufacturing and insurance firms than the government agency. Usability is ranked the highest among other attributes for the government agency and reliability for the manufacturing firm. The relationships identified in this study will help enterprise systems vendors predict their customer needs and, ultimately, increase effectiveness and efficiency in their software development processes. Such findings will be specially useful when software vendors develop enterprise software for a venture firm by enabling them to meet the customer needs customized by the organization haracteristics while staying within the incubating firm's limited budget.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.153-166
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• 2022

Purpose - ESG(Environmental, Social and Governance) rating is an indicator to predict the sustainable development and long-term value creation of enterprises, which is becoming more and more important. This study divided the ESG rating into each sector(E, S and G) to identify which ESG elements are effective in enhancing enterprise value according to the characteristics of the enterprise, which is different from previous studies. Design/methodology/approach - In this study, Bloomberg ESG Disclosure Score was used to empirically analyze the relationship between ESG ratings and corporate value by taking the listed companies of China's Shanghai Composite Index from 2017 to 2020 as the object. Findings - First, the relationship between ESG ratings and enterprise value shows a statistically significant positive correlation, which supports the results of previous studies. Second, the analysis results from the classification of ownership structure of enterprises (state-owned enterprises and non-state-owned enterprises) show that compared with state-owned enterprises, the ESG ratings of non-state-owned enterprises is more closely related to enterprise value. Third, the analysis of various industries (manufacturing and non-manufacturing) shows that compared with manufacturing, ESG scores of non-manufacturing has a more positive effect on enterprise value. Lastly, the analysis by industry type (heavy-contaminated companies, non-contaminated companies) confirmed that ESG scores of non-contaminated companies has a positive effect on corporate value than heavy-contaminated companies. Research implications or Originality - This study classified ESG evaluation grades(E, S and G) for listed companies in China and analyzed in detail how they affect corporate value according to corporate characteristics, drawing implications for what ESG indicators should be focused on to increase corporate value.

• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.87-100
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• 1999

This paper proposes analyses of characteristics and the technical components of Korean enterprise network. Based on a survey from professionals of Korean companies, we present statistical summaries of building blocks of hardware and software of the networks implemented in Korean companies. We also perform statistical analyses to find the relationships among the technical components and to extract major technical factors that differentiate enterprise networks by the business types and the size of the companies. We conclude that some of the technical factors are closely correlated and some of them are found to differentiate networks by the business types and the size of the companies.

• Convergence Security Journal
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• v.17 no.2
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• pp.33-39
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• 2017

In the age of full scale IoT, concept of "security convergence" has been popularized widely. However, it is not clear whether current "security convergence" concept reflects IoT characteristics and traits. In this thesis, a new concept, complementing "security convergence" concept researches up to date, has been suggested considering IoT characteristics. Required governance methodology and key technical factors are suggested for re-establishment of "security convergence" concept and for enterprise security strategy development.

• Journal of Families and Better Life
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• v.30 no.4
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• pp.13-24
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• 2012

This study attempts to examine the effect of family friendly work policies on the work-family balance of employed married women with young children. While previous research has investigated the effects of family friendly work policies, the effects has often been confounded with the effects of other covariates such as worker's and workplace's characteristics. In this study, we try to distinguish the effects of the family friendly work policies from those of other covariates. We draw a sample of 131 employed married women with children under age 12 from the $2^{nd}$ National Korean Family Survey. We compare the level of work-famiy balance of the women by the type of workplace: public sector, large enterprise, medium enterprise, and small enterprise. The results of this study show that some of the differences in the work-family balance of the women working in the different type of workplace can be attributed to socio-demographic background of the women and the work characteristics of workplace. There is, however, an effect of family friendly policies on the work-family balance between those who work in public sector and in medium enterprise after controlling the effects of the covariates.

• The Journal of Information Systems
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• v.27 no.1
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• pp.171-191
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• 2018

Purpose Corporate technology leakage is not only monetary loss, but also has a negative impact on the corporate image and further deteriorates sustainable growth. In particular, since SMEs are highly dependent on core technologies compared to large corporations, loss of technology leakage threatens corporate survival. Therefore, it is important for SMEs to "prevent and protect technology leakage". With the recent development of data analysis technology and the opening of public data, it has become possible to discover and proactively detect companies with a high probability of technology leakage based on actual company data. In this study, we try to construct profiles of enterprises with and without technology leakage experience through profiling analysis using data mining techniques. Furthermore, based on this, we propose a classification model that distinguishes companies that are likely to leak technology. Design/methodology/approach This study tries to develop the empirical model for prevention and protection of technology leakage through profiling method which analyzes each SME from the viewpoint of individual. Based on the previous research, we tried to classify many characteristics of SMEs into six categories and to identify the factors influencing the technology leakage of SMEs from the enterprise point of view. Specifically, we divided the 29 SME characteristics into the following six categories: 'firm characteristics', 'organizational characteristics', 'technical characteristics', 'relational characteristics', 'financial characteristics', and 'enterprise core competencies'. Each characteristic was extracted from the questionnaire data of 'Survey of Small and Medium Enterprises Technology' carried out annually by the Government of the Republic of Korea. Since the number of SMEs with experience of technology leakage in questionnaire data was significantly smaller than the other, we made a 1: 1 correspondence with each sample through mixed sampling. We conducted profiling of companies with and without technology leakage experience using decision-tree technique for research data, and derived meaningful variables that can distinguish the two. Then, empirical model for prevention and protection of technology leakage was developed through discriminant analysis and logistic regression analysis. Findings Profiling analysis shows that technology novelty, enterprise technology group, number of intellectual property registrations, product life cycle, technology development infrastructure level(absence of dedicated organization), enterprise core competency(design) and enterprise core competency(process design) help us find SME's technology leakage. We developed the two empirical model for prevention and protection of technology leakage in SMEs using discriminant analysis and logistic regression analysis, and each hit ratio is 65%(discriminant analysis) and 67%(logistic regression analysis).

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.306-322
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• 2008

The purpose of this study is to inquire into the effect of characteristics of public enterprise CEOs' leadership (transforming leadership and transactional leadership) on the leader trust and organizational effectiveness of organizational members. A survey was made on 1,124 persons being in the service of 14 marketable and quasimarketable public enterprises. The results of this study were as follows. First, it showed that the individualized consideration had an effect on the confidence level of leader. Second, it showed that the transforming and transactional leaderships had an effect on the organizational effectiveness, which the hypothesis was adopted. Third, it showed that calculable, intellectual and identical factors had a positive effect on the job satisfaction and organizational commitment, but the organizational commitment of calculable variable was rejected in the confidence level. In general, the effect of transforming and transactional leaderships as public enterprise CEOs' leadership characteristics on the organizational effectiveness by mutual confidence level of calculable, intellectual and identical standards showed that the organizational commitment was rejected in the base of identification. And other factors were adopted as a positive mechanism, which they were a mechanism suitable to public enterprise CEOs' leadership characteristics.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.83-90
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• 2014

South Korea's solar energy industry has been made vertical integration and specialization as part of the restructuring in the downturn of the world economy and the oversupply situation of raw materials. This study is to understand the characteristics of the solar energy industry, using data to systematic approach. In this study, it was defined the major business of firms as 22 business types and classified into 5 enterprise groups as technology and business strategy. After that, It was deduced features of Enterprise group by the statistical analysis and looked to draw a map of the industrial structure by social network analysis using the information on companies' demand and supply.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.195-215
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• 2015

Recently, as the number of smart-phone users has been rapidly increased, enterprise managers have a keen interest in business application of social media. Most previous studies have focused on perspective of the individual unit of analysis instead of enterprise level unit. The study is focused on the relationship between the enterprises' recognition and behavioral intention (and use) about social media application. The purpose of this study is to develop the model of small and medium enterprises' social media application, and to find the factors affecting their behavioral intention or use behavior. The moderating effects of four corporate characteristics on the relationship between the enterprises' recognition and behavioral intention are also examined. We surveyed 900 corporate staffs and received 203 responses. After questionnaires with unreliable responses had been excluded, 182 effective samples were used in the final analysis. The findings suggest that Performance Expectation, Social Influence, Facilitating Conditions significantly affect Behavioral Intention of social medea, and Behavioral Intention affects USE. Furthermore, some corporate characteristics have moderating effect on the relationship between recognition of social media and Behavioral Intention.

• The Research Journal of the Costume Culture
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• v.17 no.5
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• pp.791-806
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• 2009

Internet brand community's message makes significant contributions for fashion industry. Therefore, if we understand and implement the characteristics of the message on the Internet brand's community, it can be useful for future marketing strategy. This study was to classified the internet community and to examine messages with regard to direction, write motive and prior knowledge. The messages were taken from February, 20th, to August, 7th in 2008. Content analysis method was used for this study. The results were as follows: First, Fashion brand community divided into user initiative type and enterprise establishing type. Second, User initiative type had positive direction message more than enterprise establishing type had. Third, User initiative type had large volumes of information searching or sharing related message, but enterprise establishing type had large quantities of personal experience related message about write motive. Fourth, There was no difference numerical prior knowledge between user initiative type and enterprise establishing type, and then both had a high rate of prior knowledge.