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박은일,권상집 한국창업학회 2018 한국창업학회 Conferences Vol.2018 No.3
This study explores the role of corporate sustainable management (CSM), and environmental, social, and economic responsibilities in determining a venture firm’s innovation capability through technical, marketing and managerial innovations. Based on 1,043 samples collected from ventures in a local region of South Korea, a structural equation modeling (SEM) method was used. The results show that technical, marketing and managerial innovation activities significantly contribute to improving enterprise innovation capability, while these activities are themselves improved by the factors of CSM activities. However, no relationship was found between technical innovation and social responsibility. Both key findings and implications are presented.
Positive or negative? Public perceptions of nuclear energy in South Korea: Evidence from Big Data
박은일 한국원자력학회 2019 Nuclear Engineering and Technology Vol.51 No.2
After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilitiesare considered to be one of the essential factors in the national energy and electricity policymakingprocess of several nations that employ nuclear energy as their key energy resource. However,it is difficult to explore and capture such an attitude, because the majority of prior studies analyzedpublic attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplementthis point, this study suggests a big data analyzing method with K-LIWC (Korean-LinguisticInquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes,positive and negative emotional statements about nuclear energy with the collected data sets of wellknownsocial media and network services in Korea over time. Results show that several events andaccidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of thestatements, depending on the kind of events and accidents. The presented methodology and the use ofbig data in relation to the energy industry is suggested as it can be helpful in addressing and exploringpublic attitudes. Based on the results, implications, limitations, and future research areas are presented.