• Asia pacific journal of information systems
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• v.33 no.2
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• pp.468-512
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• 2023

Sustainable Information Technology (IT) and Sustainable Information Systems (IS) were synonymous with Green IT-IS until recently the studies focused on sustainable IT-IS encompassing the interaction between economy, society, and environment. Here, is an attempt to understand the development in the emerging field of Sustainable IT-IS from Green IT-Green IS. The studies in the area of Sustainable IT-IS spare address diverse topics. This study attempts to provide a framework for the field of research and indicate potential research directions in the sustainable IT-IS domain. A detailed comparative analysis approach of 296 papers has been used to understand the progress of management research in Sustainable IT-IS vis-à-vis Green IT-IS. The review analyses the collated literature to understand the trends across the study period, development across various economies/ geographies, methodological approaches used, behavioral and theoretical aspects investigated, and finally, develop a taxonomy based on identified theses in the field of study. The study highlights that developed countries focus more on studies on the Sustainable IT-IS domain compared to other economies. It was evident that sustainable IS has received very limited focus. The study identifies 7 major themes and 29 subthemes forming the area of study during the evolution of Sustainable IT-IS through Green IT-IS. Subsequently, taxonomy was proposed to identify future research initiatives for investigation. The review comparing the evolution of research on managerial issues on Sustainable IT-IS vis-à-vis Green IT-IS is provided perhaps for the first time. The study provides an avenue for future research in the upcoming domain of Sustainable IT-IS.

• Journal of information and communication convergence engineering
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• v.22 no.3
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• pp.221-230
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• 2024

The aim of this study is to investigate the automatic recognition and analysis of Jeju marine-life images using artificial intelligence (AI) technology. The dataset of marine-life images was prepared using tools such as Python, TensorFlow, and Google Colab (Google Colaboratory). We also developed models by training deep learning AI in image recognition to automatically recognize the species found in these images and extract their associated information, such as taxonomy, characteristics, and distribution. This study is innovative in that it uses deep learning technology combined with imagerecognition technology for marine biodiversity research. In addition, these results will lead to the development of the marine-life industry in Jeju by supporting marine environment monitoring and marine resource conservation. Furthermore, this study is anticipated to contribute to academic advancement, specifically in the study of marine species diversity.

• Journal of Venture Innovation
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• v.4 no.2
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• pp.57-75
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• 2021

KHNP's shared growth activities are based on such public good. Reflecting the characteristics of a comprehensive energy company, a high-tech plant company, and a leading company for shared growth, it presents strategies to link performance indicators with its partners and implements various measures. Key tasks include maintaining the nuclear power plant ecosystem, improving management conditions for partner companies, strengthening future capabilities of the nuclear power plant industry, and supporting a virtuous cycle of regional development. This is made by reflecting the specificity of nuclear power generation as much as possible, and is designed to reflect the spirit of shared growth through win-win and cooperation in order to solve the challenges of the times while considering the characteristics as much as possible as possible. KHNP's shared growth activities can be said to be the practice of the spirit of the times(Zeitgeist). The spirit of the times given to us now is that companies should strive for sustainable growth as social air. KHNP has been striving to establish a creative and leading shared growth ecosystem. In particular, considering the positions of partners, it has been promoting continuous system improvement to establish a fair trade culture and deregulation. In addition, it has continuously discovered and implemented new customized support projects that are effective for partner companies and local communities. To this end, efforts have been made for shared growth through organic collaboration with partners and stakeholders. As detailed tasks, it also presents fostering new markets and new industries, maintaining supply chains, and emergency support for COVID-19 to maintain the nuclear power plant ecosystem. This reflects the social public good after the recent COVID-19 incident. In order to improve the management conditions of partner companies, productivity improvement, human resources enhancement, and customized funding are being implemented as detailed tasks. This is a plan to practice win-win growth with partner companies emphasized by corporate social responsibility (CSR) and ISO 26000 while being faithful to the main job. Until now, ESG management has focused on the environmental field to cope with the catastrophe of climate change. According to KHNP is presenting a public enterprise-type model in the environmental field. In order to strengthen the future capabilities of the nuclear power plant industry as a state-of-the-art energy company, it has set tasks to attract investment from partner companies, localization and new technologies R&D, and commercialization of innovative technologies. This is an effort to develop advanced nuclear power plant technology as a concrete practical measure of eco-friendly development. Meanwhile, the EU is preparing a social taxonomy to focus on the social sector, another important axis in ESG management, following the Green Taxonomy, a classification system in the environmental sector. KHNP includes enhancing local vitality, increasing income for the underprivileged, and overcoming the COVID-19 crisis as part of its shared growth activities, which is a representative social taxonomy field. The draft social taxonomy being promoted by the EU was announced in July, and the contents promoted by KHNP are consistent with this, leading the practice of social taxonomy

• The Journal of Fisheries Business Administration
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• v.34 no.1
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• pp.87-115
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• 2003

Korean fisheries societies have had many difficulties for economic, social, and living circumstances. The government has tried many projects to improve these circumstances. But the results of the projects did not come up to his expectation. Recently, blue tourism is emerging as an alternative for improving these circumstances. So we applied a tourism value chain model for identifying what value activities and resources needed. According to the tourism value chain model, it was identified that there were six different value activities, i. e. advertising, reserving, moving, experiencing, returning, and after services of blue tourism. To identify which of the resources are sufficient or not in Korean blue tourism, we compared the required resources with actual ones. It was identified that Korean fisheries societies have so sufficient H/W related resources, but not IT related S/W resources, humanware-based resources, some industrial H/W resources and sociocultural resources. Therefore, Korean blue tourism will be activated, we have to concentrate our efforts on supplementing some scant blue tourism resources, i.e. S/W and humanware related resources and developing a variety of tourism programs to H/W resources. Generally, sustainable tourism needs all of S/W, H/W, and humanware resources. So we suggest several policies for the aspects of S/W, H/W, and humanware resources to activate blue tourism. But before carrying these policies out, they should be tested by field studies. And tourism motivations will be also studied because effective tourism marketing is impossible without an understanding of consumers' motivations.

• Korean Journal of Plant Taxonomy
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• v.46 no.3
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• pp.288-294
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• 2016

The Vietnamese occurrence of Stephania subpeltata H. S. Lo (Menispermaceae) is reported here for the first time. It is morphologically allied to S. japonica but differs in having subpeltate, ovate deltoid or broadly deltoid to subdeltoid leaves, shorter petiole, fewer leaf veins, conspicuously pedicellate umbelliform cymes which are seldom compound, and purple flowers and endocarp with a reduced number of abaxial rows. A taxonomic description, distribution details, ecology, and a key to the Vietnamese species of Stephania are provided.

• Korean Journal of Plant Taxonomy
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• v.46 no.3
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• pp.273-282
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• 2016

The establishment of a DNA barcode database at the regional scale and assessments of the utility of DNA barcodes are crucial for conservation biology and for the sustainable utilization of biological resources. Schisandraceae is a small family consisting of ca. 45 species. It contains many economically important species, such as Schisandra chinensis, which is widely used as a source in tonic beverages and in oriental medicine. In Korea, three species, S. chinensis, S. repanda, and Kadsura japonica, are distributed. We evaluated the level of variation of the DNA sequences of rbcL, matK, and the ITS regions from 13 accessions representing the distributional range of the three species. The three DNA barcode regions were easily amplified and sequenced. The minimum values of the interspecific genetic distances among S. chinensis, S. repanda, and K. japonica either separately or in combination are 4- to 23-fold higher than the maximum value of the intraspecific distance, showing that there is a clear DNA barcoding gap in the regions for Korean Schisandraceae. Phylogenetic analyses of the three DNA barcode regions, separately and simultaneously, indicate that all of the DNA barcode regions are useful for identifying a species of Schisandraceae in Korea. The distinctiveness of the three species of Schisandraceae was also supported at the species level when Chinese and Japanese populations were added. The results of this study indicate that three concatenated regions constitute the best option for DNA barcoding in Schisandraceae in Korea.