• The Journal of Fisheries Business Administration
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• v.48 no.4
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• pp.27-43
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• 2017

The major purpose of this study is to find and analyze the characteristics of Fisheries Business Administration Research based on using social network analysis. This study examines every paper of The Journal of Fisheries Business Administration from 2007 to 2016. This study analyzes fisheries business administration research through bibliometric data including research trends, researcher characteristics, and key words. The 229 source articles are all papers published from 2007 to 2016 in The Journal of Fisheries Business Administration in Korea. Comparing with previous research, the major research areas of Korean fisheries business administration have a little changed and the topics of recent research are much diversified. Through basically based on frequency analysis and SNA(Social Network Analysis) method, most of the bibliographical characteristics were founded. And based on the result of this study showed that 1) increasement on number of researcher and organization 2) climate change and economic related topics are most popular terms 3) DEA is most adopted methodology in recent papers 4) joint research among the organizations has somewhat been increased 5) human resource management, history of fisheries management and education still have been conducted in terms of sustainability.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1065-1071
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• 2020

The study aims to analyze the supply chain role of supervision, discipline, work climate, and organizational learning on the performance of community services at the public works. This study took a sample of employees through purposive sampling technique at the Public Works Office and Bina Marga in a regency in East Java. Data through questionnaire was collected through a 5-point Likert scale model. The results show that the application of employee discipline affects the performance of public services, with a contribution of 39.7%, meaning that discipline and organizational learning are implementation factors that have an effect on public service performance. In stepwise regression analysis, the supervisory factor has a correlation with service performance, but it is less relevant, while the work climate is not relevant as a predictor variable to improve public service performance. The study revealed the importance of the supply chain policy of implementing good and clean governance and the enactment of the performance appraisal of the government apparatus established through Good Corporate Governance of the state apparatus. The findings provide a basis to encourage the public sector performance to smooth every step of supply chain management of every government project work, especially in the field of public services.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.4095-4101
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• 2022

Following the climate-related disasters considered by several efforts, the nuclear capacity needs to double by 2050 compared to 2015. So, it is reasonable to investigate global warming incorporated with the fuzzy set theory for nuclear energy consumption in the aspect of fuzziness and nonlinearity of temperature variations. The complex modeling is proposed for the enhanced assessment of climate change where simulations indicate the degree of influence with the Boolean values between 0.0 and 1.0 in the designed variables. In the case of OIL, there are many 1.0 values between 20^th and 60^th months in the simulations where there are 10 times more for a 1.0 value in influence. Hence, the temperature variable can give the effective time using this study for 100 months. In the analysis, the 1.0 value in NUCLEAR means the highest influence of the modeling as the temperature increases resulting in global warming. In detail, the first influence happens near the 8th month and then there are four times more influences than effects in the early part of the temperature mitigation. Eventually, in the GLOBAL WARMING, the highest peak is around the 20^th month, and then it is stabilized.

• Journal of Climate Change Research
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• v.5 no.3
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• pp.231-248
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• 2014

The goal of this research is to develop an evaluation method applying 'Green Management Index' introduced by Korean government to assess overall Green management level of the industrial sector. The method can help to grasp the present condition of Green management in Korea and analyze changes in trend. For this research, business types are classified into 8 categories and each evaluation method is developed according to each category. Green management evaluation was conducted in 2013, targeting 513 enterprises and the result was analyzed comparing that of 2011 to understand changes in trend. The evaluation shows that 1) 'strategy and system' section is tentatively vulnerable than other sections, 2) industry with higher sensitivity towards regulations has higher score, 3) there is a significant gap conducting green management between conglomerates and SMEs especially in 'system' section. The total score was elevated by 3 points compared to 2011. It is considered that the elevation of score was attributed to tightened regulations such as Target Management Scheme. Controlled Entities scored 4 points higher and 'GHG and environmental pollution' section increased by 10 points. Also, there is a wide disparity in green management evaluation between controlled entities and non-controlled entities from 5 points in 2011 to 10 points in 2013.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3925-3942
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• 2016

Like natural climate change on the planet earth, the climate in software development environments is also changing (fast). Like the natural weather, the software environment is also disruptive. As the climate experts alert and suggest taking necessary measures to overcome certain challenges to make this earth a safer and comfortable living place, likewise this article also alerts the relevant stakeholders of software craftsmanship about the dynamic challenges that traditional Software Engineering (SE) with purely "Engineering mind-set" is not capable to respond. Hence, some new thoughts to overcome such challenges are shared. Fundamentally, based on the historical evidences, this article presents the authors' observation about continuous shift from traditional "Engineering-based" software development approaches to disruptive approaches - "Vibrant Softology". The authors see the cause of this shift as disruptive transformational force, which is so powerful that it is uncontrollably diminishing the "Engineering-based" approach from software development environments. The authors align it with climate change analogy. Based on this analogy, the authors feel the need to theoretically re-coin the notion of SE to some new term; perhaps Vibrant/Dynamic Softology (VS or DS). Hence, the authors suggest "a new (disruptive and dynamic) way of thinking is required to develop software". It is worth mentioning that the purpose of article and this new theory is not to disparage the notion of software engineering altogether, rather the aim is to highlight the importance of transformation from SE to its next level (perhaps VS/DS) due to the emerging needs in the software craftsmanship environment.

• Journal of Korean Academy of Nursing
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• v.44 no.2
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• pp.198-208
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• 2014

Purpose: This research was an empirical study designed to identify precursors and interaction effects related to nurses' patient identification behavior. A multilevel analysis methodology was used. Methods: A self-report survey was administered to registered nurses (RNs) of a university hospital in South Korea. Of the questionnaires, 1114 were analyzed. Results: The individual-level factors that had a significantly positive association with patient identification behavior were person-organization value congruence, organizational commitment, occupational commitment, tenure at the hospital, and tenure at the unit. Significantly negative group-level precursors of patient identification behavior were burnout climate and the number of RNs. Two interaction effects of the person-organization value congruence climate were identified. The first was a group-level moderating effect in which the negative relationship between the number of RNs and patient identification behavior was weaker when the nursing unit's value congruence climate was high. The second was a cross-level moderating effect in which the positive relationship between tenure at the unit and patient identification behavior was weaker when value congruence climate was high. Conclusion: This study simultaneously tested both individual-level and group-level factors that potentially influence patient identification behavior and identified the moderating role of person-organization value congruence climate. Implications of these results are discussed.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.277-297
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• 2016

This study is to analyze the effects of changing pattern of climate vaariables on total factor productivity of Korea manufacture industry. Changes in temperature, rainfalls and humidity which are the representative climate variables are used as main factors. Not only average values of the variables but those highest values are used as independent variables in the model, in order to consider the characteristic pattern of recent climate change, the high volatilities. The OLS results are unlike to previous literature that temperature and humidity had no significant impact on manufacturing productivity. An increase in the amount of precipitation was analyzed that impact negatively impacted. The analysis of panel data showed that temperatures and precipitation all that does not significantly affect the manufacturing. While the increase of the average humidity is shown to increase the total productivity of manufacture industry. In Korea, adaptation capability is important in determining the effects of climate change on productivity of manufacture industry.

• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.55-82
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• 2011

This study is a descriptive correlational study to investigate the impact of ethical climate type on career commitment of 155 social worker working at 9 social welfare facility. A self-reported questionnaire used to collect data and collected data was analyzed on SPSS WIN 16.0. The higher mean sore of ethical climate was Low & professional code and Social responsibility. The predictors of career commitment of social worker were low-professional code, efficiency and self-interest of ethical climate type. The strategies to promote and enhance the low - professional code and efficiency ethical climate of social welfare facility were needed to design and be integrated into the management of human career development of social worker

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.65-74
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• 2021

In this study, we further study the customer's positive emotion about the impact of different inherent service climate on the emotions and satisfaction of the customers who receive the service. Through this, the purpose was to present the direction of creating a service climate. As a research method, structural equation statistical analysis, such as measurement model analysis and structural model analysis, was performed using SmartPLS (v.3.2) for data collected in surveys. Looking at the research results, first, a company's service climate has a positive (+) impact on positive customer emotions: pleasure, pleasure, and happiness. This can be interpreted as an indication that creating a business climate for service is an important factor that elicits positive emotions from customers. Second, a company's service climate and positive customer emotion also have a positive impact on customer satisfaction. Finally, when a company's service climate affects customer satisfaction, happiness has the greatest mediating effect among several parameters. This demonstrated empirically that satisfying the happy feelings of customers is the most important of the company's service climate. Since this study is aimed at a small number of restaurant companies, there is a limit to generalizing the findings and applying them to all restaurant companies. Nevertheless, it is meaningful to study the emotions of positive customers when the service climate affects customer satisfaction, and we hope that the company's analysis of service climate will continue to improve customer satisfaction through various emotional analysis as well as positive factors.

• Journal of Climate Change Research
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• v.9 no.4
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• pp.303-312
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• 2018

In Ethiopia, climate change and deforestation are major issues hindering sustainable development. Local Ethiopian communities commonly perceive an increase in temperature and a decrease in rainfall. Meteorological data shows that rainfall has declined in southern Ethiopia, and spring droughts have occurred more frequently during the last 10-15 years. The frequently occurring droughts have seriously affected the agriculture-dominated Ethiopian economy. Forests can play an important role in coping with climate change. However, deforestation is alarmingly high in Ethiopia, and this is attributed mainly to agricultural expansion and fuel wood extraction. Deforestation has led to a decrease in various benefits from forest ecosystem services, and increased ecological and environmental problems including loss of biodiversity. To resolve the issues effectively, it is crucial to enhance climate change resilience through reforestation and various international collaborations are urgently needed. To continue collaboration activities for resolving these issues, it is first necessary to address fundamental questions on the nature of collaboration: does collaboration aim for a support-benefit or a mutual benefit situation; dividing the workload or sharing the workload; an advanced technology or an appropriate technology; and short-term and intensive or long-term and extensive?. Potential collaboration activities were identified by sectors: in the governmental sector, advancing governmental structure and policy, enhancing international collaborations and negotiations, and capacity building for forest restoration and management; in the research and education sector, identifying and filling gaps in forestry and climate change education, capacity building for reforestation and climate change resilience research, and developing bioenergy and feed stocks; and in the business and industry sector, supporting conservation based forestry businesses and industries, while promoting collaboration with the research and education sectors. It is envisaged that international collaboration for enhancing climate change resilience through reforestation will provide a strong platform for resolving climate change and deforestation issues, and achieving sustainable development in Ethiopia.