• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.9-22
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• 2023

In this paper, we propose a balanced approach to AI regulation, focused on harnessing the potential benefits of artificial intelligence while upholding fairness and ethical responsibility. With the increasing integration of AI systems into daily life, it is essential to develop regulations that prevent harmful biases and the unfair disadvantage of certain demographics. Our approach involves analyzing regulatory frameworks and case studies in AI applications to ensure responsible development and application. We aim to contribute to ongoing discussions around AI regulation, helping to establish policies that balance innovation with fairness, thereby driving economic progress and societal advancement in the age of artificial intelligence.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.77-91
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• 2024

This article aims to comprehensively analyze the crucial role played by data analytics and business intelligence (BI) strategies in propelling digital transformation within diverse industries. Through an extensive literature review and examination of real-world case studies, the study employs a systematic analysis of scholarly works and industry reports. This approach provides a panoramic view of how organizations utilize data-driven insights for competitive advantages, improved customer experiences, and fostering innovation. The findings underscore the pivotal significance of data analytics and BI strategies in influencing strategic decision-making, enhancing operational efficiency, and ensuring long-term sustainability across various industries. The study stands out in its originality by offering a unique synthesis of insights derived from scholarly works and real-world case studies, contributing to a holistic understanding of the transformative impact of data analytics and BI on contemporary business practices. While the study provides valuable insights, limitations include the scope of available literature and case studies. The implications call for further research to explore emerging trends and evolving challenges in the dynamic landscape of data analytics and BI. The practical implications highlight the tangible benefits organizations can derive from integrating data analytics and BI strategies, emphasizing their role in shaping strategic decisions and fostering operational efficiency. In a broader context, the study delves into the social implications of the symbiotic relationship between data analytics, BI, and digital transformation. It explores how these strategies impact broader societal and economic aspects, influencing innovation and sustainability.

• Journal of the Korean Society of Systems Engineering
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• v.20 no.1
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• pp.34-49
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• 2024

Since the outbreak of COVID-19, 'overcoming infectious disease' has emerged as a priority task for most policies. Each country has implemented policy programs to significantly shorten the vaccine development period with the goal of rapid vaccine development. This study judged this process to be a shock to the existing social and technological system and its recovery. Accordingly, the United States' Operation Warp Speed, CEPI's 100 days mission, and Japan's SCARDA were selected as examples of policy programs with 'rapid vaccine development' as their mission and analyzed difference from traditional vaccine development system in terms of rapid development. As a result, it was confirmed that the accumulation of innovative resources was shared as the key to achieving the mission in the preparation stage before the outbreak of an infectious disease. However, it was also possible to discover an approach to shortening the period of each stage without fundamentally changing the vaccine development structure itself.

• Journal of Preventive Medicine and Public Health
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• v.57 no.3
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• pp.234-241
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• 2024

Objectives: Health development is a key element of national development. The goal of improving health development at the societal level will be readily achieved if it is directed from the smallest social unit, namely the family. This was the goal of the Healthy Indonesia Program with a Family Approach. The objective of the study was to analyze variables of family health indicators across all provinces in Indonesia to identify provincial disparities based on the status of healthy families. Methods: This study examined secondary data for 2021 from the Indonesia Health Profile, provided by the Ministry of Health of the Republic of Indonesia, and from the 2021 welfare statistics by Statistics Indonesia (BPS). From these sources, we identified 10 variables for analysis using the k-means method, a non-hierarchical method of cluster analysis. Results: The results of the cluster analysis of healthy family indicators yielded 5 clusters. In general, cluster 1 (Papua and West Papua Provinces) had the lowest average achievements for healthy family indicators, while cluster 5 (Jakarta Province) had the highest indicator scores. Conclusions: In Indonesia, disparities in healthy family indicators persist. Nutrition, maternal health, and child health are among the indicators that require government attention.

• Journal of Science and Technology Studies
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• v.15 no.1
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• pp.245-279
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• 2015

The new innovation model that deals with agenda as sustainability, quality of life, societal challenges is emerging as NIS(National Innovation System) is needed to transit to post catch-up and creativity. To achieve this objective, there is a growing need for enhancing usage of ICT, end-user's needs, prolification of R&D results and social impact. Living Lab is the new innovation model that end-user's participation, co-work/network within actors and usage of user's experience and This study deal with Living Lab related R&D of ICT-based service from co-work with end-users. Example cases are Turku Archipelago Living Lab in Finland, and Living Lab projects in EU, EIT ICT Labs and ELLIOT. And the focus of case analysis is that reflection of user's needs and experience, and aspect of ICT usage.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.61-77
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• 2003

Finns are central economic agents that play an important role in systems of innovation as they take responsibility for generating and diffusing knowledge in both organizational and societal context. They must be considered as learning organizations which interact with other finns and institutions that share their environment. The systems of innovation literature accentuates institutional conditions that influence innovation in sectoral, regional or national levels. Meanwhile, it tends to ignore the complex dimensions of finn practices in relation to learning and innovation activities. In this context, this paper attempts to examine what finns do for sustaining innovation and how they learn to innovate. This is not just critical to know individual finns innovativeness which depends on interactions with environments within and outside the organizational boundary but also to evaluate the regional innovation system potential. In short, it is important to see that finns would attempt to take advantage of distributed knowledge within and across the boundaries of the finn without sticking to particular regional innovation systems. I argue that the more finns of a cluster attempt not only to combine localized sources of knowledge and external sources of knowledge but also to become a learning organization, the more increased regional innovation system potentials can be.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.191-227
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• 2015

The supply-driven innovation system is encountering its limitation. At the same time, the needs for solving societal challenges occurring in people's lives are growing. Social problem-solving R&D programs have been attracting attention as a countermeasure to satisfy these needs. It is important to understand the social context of the occurring problems as well as the users facing the social challenges. Therefore, social problem-solving R&D programs have to explore the social challenge and users' needs, with emphasis on the collaboration with researchers and users in the development and implementation process. This study carries out comparative analysis between 'Korean Citizen-driven R&D project' and 'Japanese Research institute of Science and Technology for Society (RISTEX)' concerning goals, construction of program, and promotion processes. The two cases are similar regarding the objectives of social problem-solving and the strategy for user participation. However, there are differences between the characteristics of the projects and promotion processes. The RISTEX is performing social problem-solving R&D with a much wider perspectives than the Korean project. This is because the Korean project maintained the existing R&D system with the lens of the supply-driven system, even when approaching social problem-solving. Therefore, this limitation should be overcome by adopting support systems discarding the supply-driven perspective, through substantiality of user participation, maintenance of legal system, and commercialization of technologies.

• Journal of Korea Technology Innovation Society
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• v.12 no.3
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• pp.662-686
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• 2009

Lately innovation is perceived as a systemic, horizontal phenomenon and requires a new governance for innovation. Subsequently, broader societal questions enter the domain of innovation policy and coordination and integration between innovation policy and various other policy domains, such as economic, educational, social, regional and environmental policies become crucial. Definitions of policy integration include terms such as coherence, cooperation, coordination and put great emphasis on joint working to promote synergies among policies and reduce duplication and the use of the same goals to formulate policy. As innovation capabilities of the private sector have improved and it has become unclear who to catch up with, the Korean government, a leading player in the process of "catch-up," is likely to have more difficulties in maintaining the old way of planning and executing policies. The Korean government is now under the pressure of planning technologies and policies that do not allow any easy imitation or copy of other advanced countries longer, which in turn reveals various limits of the existing policy framework. Policy integration involves a continual process demanding changes in political, organizational and procedural activities. To ensure long term and cross sectoral innovation policy, overall change and improvement in policy and its implementation needed in terms of political commitments, governance systems, policy instruments and monitoring, and evaluation systems.

• World Technopolis Review
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• v.6 no.2
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• pp.102-112
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• 2017

In this increasingly globalised and rapidly-changing world, the various challenges that can arise are also increasingly globalised and complex. These may range from economic, environmental, societal or even demographic challenges. Solutions should therefore be applicable world-wide, but they need to be properly adapted to the specifications and needs at the regional and country level. This implies that past models of centralised innovation can be progressively substituted by new approaches based on openness and strategic collaboration between the various players involved. There are various models of openness and collaboration in research, development and innovation creating scientific networks at different levels. This paper is designed in a way to present the concept of smart specialisation and clusters and how they are linked and contribute to the support of Smart Specialisation Strategy in the Asian countries. The following paragraphs describe how smart specialisation is applied and the importance of clusters in developing a S3 strategy. In addition, the status of cluster policies in Asia as well as the steps towards S3 are also presented. The status of cluster policies and their steps towards S3 policies in Asia are described. The approach of China to adopt S3 in their R&I policy is also presented. The scope of this paper, is to demonstrate the policy framework of cluster and S3 policies in the region of Asia and how they are applied. China has been further analysed as a case, since they are more active in applying such policies.

• Journal of the Korean Regional Science Association
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• v.15 no.1
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• pp.93-116
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• 1999

Recently the concept of learning has become very fashionable among academics from different economic disciplines. Economic geographers and spatial planners joined this fashion by increasingly speaking about the 'learning region'. This paper makes clear that this learning region'. This paper makes clear that this learning region concept has been launched from three angles; as spatial outcome of grand societal changes, as spatial concentration of entrepreneurial learning for innovation and as regional development concept. Despite the deficits and flaws such a young concept is faced with, such as vague definitions, the lack of empirical research and an insufficiently clear separation from existing concepts, the learning region concept might provide economic geography with more insight in agglomeration effects, stronger links with policy-making and more knowledge on path dependency and thus on unravelling the distinction between 'good' and 'bad' industrial agglomerations.