• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.558-566
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• 2020

New Product Development (NPD) is essential for companies' survival, and continuous growth in the rapidly changing, convergence and business environment, and companies need to collaborate with their internal and external partners to improve performance in NPD. This research examined the integrated relationship between NPD (Cross-functional collaboration, and supplier collaboration) and collaborative communication (formality and reciprocal feedback) on corporate performance. The employees who worked in manufacturing for more than one year with experience in NPD were tested. The reliability and feasibility were assessed using the sample 272 data. The results are summarized as follows. First, cross-functional collaboration and supplier collaboration, which are the factors of NPD collaboration, had a significant positive effect on formality. Second, formality and reciprocal feedback had a significant positive effect on reciprocal feedback and corporate performance. Therefore, for successful NPD, manufacturing companies need to establish efficient management strategies and communicate officially and reciprocally to maximize productivity and efficiency based on the reciprocal partnership between suppliers. To accomplish this, companies need to plan effective communication strategies to respond quickly to internal and external partners' needs.

• 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).

• Journal of Environmental Policy
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• v.13 no.3
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• pp.109-133
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• 2014

With a growing concern about climate change and green house gases mitigation, carbon labeling policy has been launched in several countries as an environmental policy which connects low carbon production to low carbon consumption. This research aims to propose a model that explains consumers' attitude and brand loyalty toward carbon labeling products. This model specifies the consumer's psychological processes by which consumer values, such as autonomy and environmental values, affect carbon labeling product and corporate images and finally form brand loyalty toward carbon labeling products. Panel data were collected in two separate surveys and analyzed using a structural equation technique. Results are summarized as follows. First, consumers' autonomy value(AV) positively affects locus of control(LC) and corporate image(CI). Second, consumers' environmental value(EV) positively influences perceived consumer effectiveness(PCE), which in turn has a negative effect on perceived barriers(PB). Perceived barriers finally affect product image(PI) negatively. Third, both corporate image and product image have causal relationships with brand loyalty. Our results suggest that carbon labeling policy contributes not only to the reduction of greenhouse gases but also to the increase of consumers' attitude and brand loyalty toward carbon labeling products. This research also provides governments with directions for efficient environmental policy and firms with guidance on effective marketing strategies about carbon labeling.

• International Journal of Advanced Culture Technology
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• v.6 no.2
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• pp.43-50
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• 2018

In this study, It is utilized 103 management panic data about social enterprises in Chungnam area (Chungnam, Daejeon, Sejong) region from 2011 to 2017. The organizational characteristics (organizational type, type of certification, company's region, external grants, paid employees) were set as independent variables with economic performance (sales) and social performance (employment of vulnerable class) as dependent variables. We analyzed the factors affecting the economic and social performance of social enterprises and confirmed the correlation between economic and social performance. The results of this study are as follows: First, the organizational characteristics of social enterprises showed a significant difference in sales as economic performance. External grants have no positive effect on the economic performance (sales) of social enterprises, while paid workers have a positive (+) influence on the economic performance. Second, the organizational characteristics of social enterprises showed significant differences in employment of the vulnerable class, which is social performance. Only the paid workers had a statistically significant relationship with the social performance of the social enterprise. Third, the correlation between economic performance (sales) and social performance (employment of the vulnerable class), which is the result of social enterprise, is shown. This can enhance a social enterprises' sustainable growth and self-sufficiency by improving the employment of vulnerable people, the economic performance of a social enterprise, which is sales and social performance, and ultimately can manifest the value and purpose of the social enterprise.

• Journal of Information Technology Applications and Management
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• v.19 no.3
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• pp.49-68
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• 2012

M&A (Merger and Acquisitions) is a standard corporate strategy frequently used by companies seeking to secure new growth engines and gain a solid foothold in their markets in order to become more globally competitive. To achieve the original goals of M&A, the two involved parties need to invest significant time and resources in integrating all aspects of the companies. A well-planned post-merger integration of information technology (IT PMI) by the two M&A parties is considered a crucial and difficult process because IT provides a fundamental infrastructure for integration. Considering various internal and external factors, the two parties normally formulate an IT PMI strategy. The many IT PMI strategies can be categorized into four major types: Renewal, Takeover, Standardization, and Synchronization. This study aims to develop a decision making model to help merger company and IT managers select the proper IT PMI strategy. More specifically, we identify key determinants that need to be considered when selecting a proper IT PMI strategy. The relative importance of each determinant is defined by analytic hierarchy process (AHP) analysis. Finally, this study evaluates each IT integration strategy under the identified determinants.

• International Journal of Contents
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• v.16 no.3
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• pp.33-44
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• 2020

Small and medium enterprises need a wide range of information regarding technologies, industries, market conditions, other companies, and products to facilitate identification of new growth opportunities and to respond quickly to changes in the business environment. Collecting such information, however, requires the input of resources (human resources, cost, and time), and the lack of marketability resulting from the shortage of such resources is often cited as the reason small and medium often fail in their effort to commercialize their technology. The purpose of this study was to analyze the environmental factors such as market concentration and the current level of competition to enable companies to make the necessary decisions when considering market entry following R&D planning and technology commercialization, or after the development of a new product. Also, an expert-based 5FORCE analysis can be performed using the KMAPS, an industry and market intelligence system: this facilitates automatic production of analyses based on the corporate finance and transaction data. The key contribution of the study is that it facilitates conveniently and quickly analyzing the 5 Forces, which had been a difficult task in the environmental analysis, and that the outcomes of this study empower companies in the decision-making process.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.173-179
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• 2012

In this study, gieopjung S corporations around the country the customer's perceived image of S corporations and relationships affect the relationship between commitment and see it through the marketing strategy was to become the foundation of the relationship of the findings customers commitment to S corporations used to think showed significantly affect impartiality. Growth of corporate commitment to the relationship between S corporations also affect to some extent because of the image rather than just winning and how much that technology can be seen to affect the Saints. In addition, does not affect the reliability of several factors, innovation, enterprise-wide chief executive officer, and so on image based on careful consideration of a more customer-oriented company with a reliable image of the future must be concerned with is improving.

• Management & Information Systems Review
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• v.35 no.4
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• pp.79-98
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• 2016

A large number of Chinese enterprises have grown up and become increasingly competitive. Chinese firms have ventured abroad to search for new sources of growth. Overseas mergers and acquisitions of Chinese companies has been developed rapidly through extensive opening policy and active support system by government. The main purpose of this study is to identify the factors that affect the outcomes of overseas mergers and acquisitions made by Chinese firms in recent years, particularly, financial performance of the acquiring firms. This study aims to analyze systematically financial performance and its determinants of Chinese overseas M&A in recent years. This study chooses a sample of 167 overseas mergers and acquisitions in the manufacturing industry in China and the relevant data were collected during the period 2006 to 2012. The data were analyzed by using a multiple regression analysis to identify determinants of corporate performance. We showed that cultural distance, past performance, state ownership, and interaction between cultural distance and past performance. Findings of this study can provide useful guidance to outward Chinese M&A in the future.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.455-463
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• 2021

The creative industry has an important role in economic development, but creative economy entrepreneurs still face many problems in business development and sustaining their businesses. The purpose of the study is to investigate the effect of entrepreneurship orientation, innovative product advantages, and social network quality on business performance to help companies stay competitive. The research uses a quantitative approach with the population being the owner of the creative industry in Semarang City, Central Java, Indonesia. The sampling technique used is convenience sampling, obtained as many as 126 creative industry owners. Data was analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS). The findings of this study show that entrepreneurial orientation, innovative product advantage, and social network quality have a positive effect on the business performance of the creative industry in Semarang City, Central Java, Indonesia. According to the study, a company with superior resources can win the competition and achieve business sustainability. When compared to competing organizations, the benefits of resources and competitive ability will create a competitive edge. As a result, stakeholders such as the government, the corporate sector, and universities are expected to play a larger role in accelerating the growth and development of creative industries.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.239-246
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• 2021

This article substantiates the scientific provisions for modelling the level of Ukraine's public financial security taking into account the impact of budget policy, in the process of which identified indicators of budget policy that significantly affect the public financial security and the factors of budget policy based on regression analysis do not interact closely with each other. A seven-factor regression equation is constructed, which is statistically significant, reliable, economically logical, and devoid of autocorrelation. The objective function of maximizing the level of public financial security is constructed and strategic guidelines of budget policy in the context of Ukraine's public financial security are developed, in particular: optimization of the structure of budget revenues through the expansion of the resource base; reduction of the budget deficit while ensuring faster growth rates of state and local budget revenues compared to their expenditures; optimization of debt serviced from the budget through raising funds from the sale of domestic government bonds, mainly on a long-term basis; minimization of budgetary risks and existing threats to the public financial security by ensuring long-term stability of budgets etc.