• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.481-499
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• 2012

This paper shows a empirical results by adopting Kauffman' NK model. First, we find interdependence parameter K is nine in the technological ecosystem Landscape. According to principal component analysis, our technological ecosystem landscape is based on K=N-1 technology structure. Second, to Kauffman NK model, our technological ecosystem landscape is completely uncorrelated each other and contains a large number of local optima. As additional technology rises, the number of local optima rises rapidly. Our results mean that the more complexity in the technological ecosystem landscape, the less effective technology innovation will be in our country's technology system.

• Journal of Smart Tourism
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• v.3 no.4
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• pp.23-31
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• 2023

This paper explores the concept of enhanced smart tourism as a response to the challenges and opportunities arising in the post-pandemic tourism landscape. The COVID-19 pandemic has not only halted the global tourism industry but also prompted a reevaluation of its sustainability, technological integration, and impact on local communities. The need for a paradigm shift in tourism is emphasized, focusing on digitalization, innovation, and resilience. Enhanced smart tourism is characterized by a shift from traditional practices to innovative governance models, increased emphasis on sustainability, and the integration of technology for better management and visitor experiences. The paper discusses the four pillars of enhanced smart tourism - Technology, Sustainability, Accessibility/Mobility, and Innovation/Creativity, and their expansion in the post-pandemic era. Furthermore, the significant role of data in smart tourism is examined, highlighting the importance of data valuation, management, and ethics. The paper proposes frameworks and methods for data valuation and emphasizes the necessity of a comprehensive approach to data within the smart tourism ecosystem. The conclusion points to the need for further empirical and conceptual research to fully realize the potential of enhanced smart tourism.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3389-3404
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• 2012

Based on the case study methods, the study analyzes emergence and ensuing typology of global ebook platforms such as Google eBook, Amazon Kindle, iBooks Store. Global ebook platforms show adaptation process responding to rapidly changing digital technological envirment and it's fitness landscape. The critical elements in its emerging process are the distinct selection criteria, the degree of resource abundance and the search process based on open innovation. Based on these critical elements, the global platforms show speciation process, so called niche creation and are evolving into a variety of the typology based on the initial condition of key resource which makes the platform emerge and grow. Each global ebook platforms is evolving into open platform, hybrid platform, closed platform. Google eBook has openness and extensibility due to a variety of devices based on Android and a direct involvement of actors. Amazon Kindle has developed from a online bookstore and into the hybrid platform which have not only closed quality but also openness with ebook devices and mobile network. iBooks Store has developed into the closed platform through the agency model based on competitive hardwares and closed quality with iphone and ipad.

• Korean Journal of Heritage: History & Science
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• v.44 no.1
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• pp.30-51
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• 2011

During the process of modernization, many rural villages in Korea have experienced degeneration and breakdown, losing sustainability. However, Oeam village in Asan City, South Chungcheong Province (State-designated cultural heritage, Important Folk Material No. 236) has established itself as a unique folk village, which evolves with sustainability, pursuing the revival of Neo-traditionalism. Oeam village is a tribal village of the Yis from the Yean region and has maintained environmental, economic, and social sustainability and soundness for over five centuries. Thus, the village has sustained itself well enough to be a cultural asset with 'Outstanding Universal Value', in terms of its value as world cultural heritage. The village maintains its own identity, filled with a variety of traditional and scenic cultural assets that symbolize a gentry village. Those assets include Confucian sceneries (head family houses, ancestral shrines, tombs, gravestones, commemorative monuments, and pavilions), various assets of folk religion (totem poles, protective trees at the entrance of a village, shrines for mountain spirits, village forests), tangible and intangible cultural assets related to daily lives (vigorous family activities, rigorous ancestral rituals, family rituals, collective agriculture and protection of ecosystem), which have all been well preserved and inherited. In particular, this village is an example of a well-being community with a well-preserved folksy atmosphere, which is based on environmentally sound settlements (nature + economy + environment + community) in a village established according to geomancy, East Asia's unique principle of environmental design. In addition, the village has kept the sustainability and authenticity for more than 500 years, combining restraint towards the environment and the view of the environment which respects the natural order and cultural values (capacity + healthy + sustainability). Therefore, the Oeam folk village can be a representative example of a folksy and scenic Korean community which falls into the category of IV (to exemplify an outstanding type of building, architectural or technological ensemble, or landscape which illustrates significant stages in human history) and V (to exemplify an outstanding traditional human settlement, land-use, or sea-use which is representative of cultures, or human interaction with the environment especially when it has become vulnerable under the impact of irreversible change) of Unesco's World Cultural Heritage.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.5
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• pp.79-96
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• 2021

Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.