• Management & Information Systems Review
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• v.33 no.5
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• pp.131-153
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• 2014

This study has analyzed on affecting factors of the customer's empathy toward the corporate philanthropic activities in terms of corporates and their products. From the corporate perspective, we have checked how the activities affect the perception of the customer familiarity and authenticity. Study shows that the fairness of the social contribution activities have an impact on both the familiarity and the authenticity (hypothesis 1, hypothesis 2). Social contributions reciprocity has been shown to influence familiarity (hypothesis 3) and it was not statistically significant to the authenticity (hypothesis 4). Looking at the relationship between the familiarity and authenticity from the product side, charm and familiarity (hypothesis 5), uniqueness and authenticity (hypothesis 8) showed that the impact on the definition. On the other hand charm and authenticity (hypothesis 6), uniqueness and familiarity (hypothesis 7) appeared to be not statistically significant. Finally, the relationship between familiarity, authenticity and empathy is as follows. First, the familiarity was found that it is affecting the authenticity (hypothesis 9) and for the consumer sympathetic (hypothesis 10) appeared to be not statistically significant. And the authenticity was found having a defined effect on the consumer sympathetic (hypothesis 11). It is really far more important to suggest an integrated approach to continue a sustainable and stable relationship by increasing consumer purchasing and empathy for the products and services of social enterprises. This study provides practical implications for marketing strategies of social enterprises, which can draw the consumer sympathy through the social contribution activities of social enterprise.

• Journal of Technology Innovation
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• v.22 no.2
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• pp.77-104
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• 2014

Government R&D support for SMEs is very important and the R&D budget is also increasing. This study suggests a new method for analyzing a performance of R&D programs and analyzes the performance of R&D programs funded by small & medium business administration using the method. We discuss new measures "efficiency" that means short-term performance and "effectiveness" that means long-term performance. Weights based on the R&D programs' characteristics among the various sub-indicators of two measures were derived, and then the final scores were calculated by combining the weights with the responses on the indicators. Finally, this study tests the mean differences between R&D programs statistically. As a results, efficiency of R&D programs shows a significant difference between the R&D programs, while effectiveness does not. Most of the efficiency scores are low, whereas the effectiveness scores are high. The results explain that the R&D programs are managed inefficiently. However, most SMEs predict a positive impact of government R&D supports on effectiveness in the long term. Government needs to try to improve the efficiency of R&D supports because SMEs cannot expect sustainable performance with no improvement in efficiency.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.215-228
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• 2019

This study micro-analyzed the impact of innovation capabilities on innovation performance by type of CEO, with innovative SMEs being subject to research. In addition, the impact of CEO type on innovative capabilities and the impact of innovative capabilities on innovation performance were studied together. In order to achieve the research objective, we conducted an empirical analysis of 250 innovative small and medium-sized enterprises registered in the medium-term department as research targets and the results are as follows. First, the analysis of the impact of the type of CEO on the capacity of innovation shows that market-oriented, technology-driven and consultant-type CEOs have a significant impact on the amount of technology change reduction, but managed CEOs do not see any statistically significant differences in the amount of technology change reduction areas. Managed CEOs did not see statistically significant differences in the amount of technology change-sensitive areas. In addition, it was analyzed that the current type of CEO of small businesses does not affect the R&D technology digestion capacity of technological innovation capabilities. Second, the analysis of the relationship between innovation capabilities and innovation performance did not have a statistically significant effect. Third, the analysis of the adjustment effect between the type of CEO and the capacity of innovation according to the growth stage of small businesses shows that the technology and the consultant-type CEO affect the amount of the area of technology change, but the managed and market-type CEOs did not have the adjustment effect. Fourth, the analysis of the capacity of innovation and the effect of adjustment between innovation and innovation in the growth phase of innovative SMEs did not have a statistically significant effect.

• International Area Studies Review
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• v.15 no.3
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• pp.513-532
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• 2011

Green supply chain management(GSCM) has emerged as a key approach for firms seeking to become sustainable environmentally. GSCM is a system in which the firm takes life cycle responsibility of the products through material recycling, environment-friendly production, and reverse logistics in addition to the classical operations in a supply chain. This paper endeavors to identify the relationship between the GSCM practice implementation and firms' performance among a sample of Korean manufacturing firms. Based on a literature review, eight hypotheses are put forward. First of all, a factor analysis was conducted to derive groupings of GSCM practice from the survey data which included 54 responses. Then, the first regression was conducted to examine the link between GSCM practice implementation and firms' financial performance. The result shows that green purchasing and green production are significant. The second regression was conducted to examine the impact of GSCM practice implementation on the firms' competitiveness. The result reveals that green purchasing, green production, and reverse logistics are positively signifiant.

• Science & Technology Policy
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• v.6 no.10 s.91
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• pp.112-118
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• 1996

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.153-153
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• 2006

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.13-31
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• 2016

Despite expectations of short- or long-term positive effects of corporate social responsibility (CSR) on firm performance, the results of existing research into this relationship are inconsistent partly due to lack of clarity about subordinate CSR concepts. In this study, keywords related to CSR concepts are extracted from atypical sources, such as newspapers, using text mining techniques to examine the relationship between CSR and firm performance. The analysis is based on data from the New York Times, a major news publication, and Google Scholar. We used text analytics to process unstructured data collected from open online documents to explore the effects of CSR on short- and long-term firm performance. The results suggest that the CSR index computed using the proposed text - online media - analytics predicts long-term performance very well compared to short-term performance in the absence of any internal firm reports or CSR institute reports. Our study demonstrates the text analytics are useful for evaluating CSR performance with respect to convenience and cost effectiveness.

• The Korean Journal of Financial Management
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• v.19 no.1
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• pp.67-106
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• 2002

본 연구는 전략적 제휴가 단기적으로 기업가치에 어떠한 영향을 미치는 가에 관한 실증적 연구이다. 본 연구의 단기적인 성과 결과는 선행연구와 유사하게 나타났다. 즉, 윈도우 (-20, +20) 사이의 표본에 대한 실증적 연구결과, 시장모형과 시장조정모형 모두 전략적 제휴라는 이벤트 발생 시에 비정상수익률과 누적비정상수익률이 발생한다는 사실을 발견하였다. 이러한 사실은 한국의 제휴기업들도, 제휴로 인하여 기업의 효율성이 증대되어 기업가치가 상승한다는 시너지 가설이 적용된다는 사실을 발견하였다. 단기성과에 영향을 미치는 특성요인과의 관계를 조사하기 위해서 회귀분석을 해 본 결과, 총자본수익률(ROI)과 LQHC(토빈의 Q비율이 낮고 사내잉여금수준이 높은 기업은 1의 값, 그 외는 0을 가지는 가변수)가 통계적으로 유의한 변수로 나타났다. 두 변수 모두 단기성과와 부(-)의 관계를 보였다. 총자본수익률이 부(-)의 관계를 보인 것은 Das, Sen, 그리고 Sengupta(1998)의 연구결과와 유사하게 나타났다. 즉, 수익성과 단기적인 기업가치와의 관계가 부(-)의 관계를 보이는 것은 수익성이 낮은 기업일수록 제휴에 대한 일반 투자자의 기대가 크다고 해석할 수 있다. LQHC변수가 단기성과와 부(-)의 상관관계를 보이는 것은 투자기회가 낮고 사내잉여금수준이 높은 기업은 단기성과와 부(-)의 관계를 의미한다. 결론적으로 기업이 전략적 제휴를 맺음으로 해서 기업가치에는 단기적으로 정(+)의 영향을 미친다고 할 수 있다. 이러한 결과는 새로운 경영흐름의 하나인 제휴를 통하여 기업의 경영효율을 높일 수 있음을 시사하고 있다.

• The Korean Journal of Financial Management
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• v.26 no.4
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• pp.35-61
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• 2009

This paper investigates whether the investment of a chaebol firm depends on financial characteristics such as leverage and growth opportunity. We find that the investment of a chaebol firm increases as its growth opportunity increases. We also find that this positive effect of growth opportunity on the investment is more pronounced in a low-leverage firm than in a high-leverage firm. Unlike chaebol firms, however, the interaction effect between leverage and growth opportunity is not statistically significant for nonchaebol firms.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.1-23
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• 2009

The Survey on the Industrial Research and Development(R&D) is the primary source of information on R&D performed by Korea industrial sector. The results of the survey are used to assess trends in R&D expenditures. Government agencies, corporations, and research organizations use the data to investigate productivity determinants, formulate tax policy, and compare individual company performance with industry averages. Recently, Korea Industrial Technology Association(KOITA) has collected the data by complete enumeration. Koita has, currently, considered sample survey because the number of R&D institutions in industry has been dramatically increased. This study develops survey design for the industrial research and development(R&D) statistics by introducing a sample survey. Companies are divided into 8 groups according to the amount of R&D expenditures and firm size or type. We collect the sample from 24 or 8 sampling strata and compare the results with those of complete enumeration survey. The estimates from 24 sampling strata are not significantly different to the results of complete enumeration survey. We propose the survey design as follows: Companies are divided into 11 groups including the companies of which R&D expenditures are unknown. All large companies are included in the survey and medium and small companies are sampled from 70% and 3%. Simple random sampling (SRS) is applied to the small company partition since they show uniform distribution in R&D expenditures. The independent probability proportionate to size (PPS) sampling procedure may be applied to those companies identified as 'not R&D performers'. When respondents do not provide the requested information, estimates for the missing data are made using imputation algorithms. In the future study, new key variables should be developed in survey questionnaires.