• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.139-172
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• 2024

Purpose - This study investigates the relationship between corporate ownership structure and technological innovation for Chinese listed firms. Specifically, we analyze four ownership characteristics: concentration, constraints, alignment, and foreign/domestic institutional investor ownership, and use patent applications to measure innovation. Design/methodology/approach - Employing a quantitative research design, this study uses panel data of Chinese listed companies during the period from 2015 to 2021. The empirical analysis relies on multiple regression models, including Tobit models and two-stage least squares estimation, to assess the relationship between corporate ownership structure characteristics and innovation. Robustness checks are conducted using lagged dependent variables and subgroup analyses based on firm age, ownership type, and stock exchange listing. Findings - First, it provides empirical evidence on the non-linear relationship between ownership concentration and innovation, suggesting that there is an optimal level of ownership concentration for promoting innovation. Second, it highlights the importance of equity constraints in influencing innovation, showing that both excessive and insufficient equity constraints can hinder innovation. Third, the study demonstrates the negative impact of aligned ownership and control on innovation, suggesting that separation of ownership and control may be beneficial for fostering innovation. Fourth, it sheds light on the differential impact of domestic and foreign institutional investors on innovation, suggesting that foreign institutional investors may play a more positive role in promoting innovation. Research implications or Originality - The significance of this study's results lies in the fact that we empirically analyze the relationship between corporate ownership characteristics and technological innovation, thereby suggesting the direction of a desirable corporate governance structure that listed companies should pursue depending on their circumstances. This research contributes to a deeper understanding of the ownership characteristics that influence technological innovation and provides valuable insights for policymakers and corporate managers.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.149-177
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• 2009

Today, the phase of modem war is very different from past war. That is, the winning of war depends on the ability to obtain information and high technology. The purposes of this research are to propose an effective R&D governance model in national defense sector and to present R&D strategy for obtaining core national defense technology. As a part of collaborative innovation, the strategy to exchange R&D results actively between the defense sector and the private sector will be discussed. The main contribution of this research is dearly defining the concept of R&D governance in national defense sector and applying it to an actual case. The national defense R&D governance model proposed in this paper is based on the characteristics of national defense R&D which are different from other industries. The analysis of business success factors for national defense R&D through the T-50 case study is presented in detail. The T-50 case study reveals the importance of strategic intent, core technology knowledge base, organizational structure, and project management.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.39-54
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• 2024

This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.

• Ocean and Polar Research
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• v.37 no.3
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• pp.211-223
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• 2015

Korean society has been recently promoting the restoration of coastal wetlands. These efforts might become the basis of a policy framework that compensates for the limitations of a regulation-oriented policy such as the designation of Marine Protected Areas (MPAs). The shift in government policy could contribute to strengthening the socioeconomic infrastructure of coastal development through the accumulation of ecological capital. Although our scientific efforts and social demands in regard to the ecological restoration of the coastal wetlands have increased during the past years, the bases for restoration in Korea requires that scientific, technological, financial, social and legal aspects be enhanced. The present study re-examined the concept and attitudes behind coastal wetland restoration in the light of changing circumstances in Korea. Herein, we first defined coastal wetland restoration as "An act of recovering the functions of the ecosystem of coastal wetlands to a state that resembles conditions prior to being damaged." Next, this study discussed the limitations and future directions of such restoration efforts based on the descriptive analyses of recent restoration practices from social, economic, and technological aspects. Finally, we suggest future policy directions regarding coastal wetland restoration on the basis of a PFST (Policy, Financial, Social, and Technological) analysis; 1) re-arranging legal mechanisms, 2) setting multi-dimensional restoration goals, 3) establishing a multi-discipline- and convergence based R&D system, 4) linking spatial management and local development to the restoration, 5) building restoration governance at the local level, 6) implementing an ecosystem service payment system, and 7) applying test-bed projects in accordance with proper directions.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.241-249
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• 2017

Gender innovation refers to the act of producing more trustworthy science and technology based on gender analysis in conducting and development. Science and technology have been considered to be irrelevant to gender and gender analysis. Science and technology lost opportunity to market and sometimes caused massive losses due to the ignorance of gender and the concept of gender differences. Despite importance in the field of science and technology, the reason why gender innovation does not take place is the lack of woman science in science and technology. Further, the promotion of female scientists policy bas been pursued by the government is one of the reasons. The government has been forcibly carried out without considering 'performanceism' spreading in the scientific and technological fields. This research argues that scientific research brings gender perspective back into all the level of research conduct. In order to improve gender ignorance in science and technology, gender sensitive education should be provided to scientists. Also, gender governance and women's committee for gender analysis should be established to adopt gender analysis in scientific research.

• Journal of Information Science Theory and Practice
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• v.11 no.2
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• pp.82-103
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• 2023

The Zimbabwean healthcare sector faces huge challenges due to increased demands for improved services for a growing number of patients with fewer resources. The use of information and communications technologies, prevalent in many industries, but lacking in Zimbabwean healthcare, could increase productivity and innovation. The adoption of health management information systems (HMISs) can lead to improved patient safety and high-level patient care. These technologies can change delivery methods to be more patient focused by utilising integrated models and allowing for a continuum of care across healthcare providers. However, implementation of these technologies in the health care sector remains low. The purpose of this study is to demonstrate the advantages to be attained by using HMISs in healthcare delivery and to ascertain the factors that influence the uptake of such systems in the public healthcare sector. A conceptual model, extending the technology, organization, and environment framework by means of other adoption models, underpins the study of adoption behavior. A mixed method methodology was used to conduct the study. For the quantitative approach, questionnaires were used to allow for regression analysis. For the qualitative approach, thematic analysis was used to analyse interview data. The results showed that the critical success factors (namely, relative advantage, availability, complexity, compatibility, trialability, observability, management support, information and communication technology expertise, communication processes, government regulation, infrastructure support, organizational readiness, industry and competitive support, external support, perceived ease of use, perceived usefulness, attitude, and intention to use) influenced adoption of HMISs in public hospitals in Zimbabwe.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.131-144
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• 2021

In recent years, China has gradually made clear its decision to modernize the governance system and governance capacity of the government by the virtue of digital transformation. As for the smart prison, as a penal institution of the state, technological reform is a key element in the sustainable development of smart prisons; however, relying on technology does not necessarily lead to a better service experience. Service design concept, as a coordinator of technology and social sustainability, needs to be adapted to the technological integration of smart prisons and to the needs for service design in the prison context in a new mode of thinking about services. This paper takes the development of the Jail Pay financial services system, one of the twelve sub-systems of the Smart Prison, as an entry point to explore the characteristics and shortcomings of the service design approach in achieving sustainable service innovation in the Smart Prison, it proposes an experience-based lead collaborative design (EBLCD) that is suitable for the specific needs in the prison context. The EBLCD is a theoretical framework and practical experience for sustainable service innovation in the construction of smart prisons.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.110-122
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• 2023

Over the last few decades, various innovative technologies have emerged that have significantly contributed to making life easier for humans. Various information and communication technologies (ITCs) have emerged as a result of the global technological revolution, including big data, IoT, 4G and 5G networks, cloud computing, mobile computing, and artificial intelligence. These technologies have been adopted in urban planning and development, which gave rise to the concept of smart cities in the 1990s. A smart city is a type of city that uses ITCs to exchange and share information to enhance the quality of services for its citizens. With the global population increasing at unprecedented levels, cities are overwhelmed with a myriad of challenges, such as the energy crisis, environmental pollution, sanitation and sewage challenges, and water quality issues, and therefore, have become a convergence point of economic, social, and environmental risks. The concept of a smart city is a multidisciplinary, unified approach that has been adopted by governments and municipalities worldwide to overcome these challenges. Though challenging, this transformation is essential for cities with differing technological and social features, which all have the potential to determine the success or failure of the digital transformation of cities into smart cities. In recent years, researchers, businesses, and the government have all turned their attention to the emerging field of smart cities. Accordingly, this paper aims to represent a thorough understanding of the movement toward smart cities. The key themes identified are smart city definitions and concepts, smart city dimensions, and smart city architecture of different layers. Furthermore, this article discusses the challenges and some examples of smart cities.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.505-505
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• 2022

This study shows the first output of the three-year project (2021-2023) to develop a Smart Water City (SWC) Global Standard and Certification Scheme ley by K-water, International Water Resources Association (IWRA) and Asia Water Council (AWC). There are three major parts in the first year. In Part 1, it investigates the essential features of cities today and details the water challenges currently faced and likely to be confronted in the future. It also investigates the functions that water fulfills in the urban environment, and how ICTs can contribute to improving those functions by each Urban Water Cycle. A definition of a Smart Water City is proposed following a discussion on the meaning of "smart development". This part of the report also presents different city cases from countries around the world to illustrate the urban water challenges and the technological and non-technological solutions that cities have put in place, including national and/or local policies and strategies. In Part 2, it defines what global standards indicators and certification schemes are and identifies their characteristics. Especially, it analyses in detail eight relevant standards and certification schemes measuring sustainable development and/or water resources management in urban settings. Standards elaborated by international organizations are distinguished from those developed by the private sector, non-governmental organizations, and by academia. Finally, this study suggests the right direction to develop SWC global standard frameworks and certification schemes. And then, it shows the main tasks for the Stage 2 (second year) project. Basically, the framework for a future SWC standard (consisting three main pillars: Technical, Governance and Prospective pillars) will be fully defined in Stage 2.

• Knowledge Management Research
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• v.25 no.3
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• pp.173-200
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• 2024

This study investigates the dynamics of the digital divide and social inclusion in a society increasingly influenced by artificial intelligence (AI) by 2035. Using a 2×2 matrix scenario analysis, the research explores future scenarios based on two axes: the level of AI technological advancement and societal response. The scenarios range from an "Inclusive AI Society," characterized by advanced AI technology and comprehensive societal measures, to an "AI Polarized Society," marked by rapid AI advancement but fragmented social responses, exacerbating inequalities. The study emphasizes the critical role of both technological and social strategies in addressing the challenges of AI-driven societies. It provides policy recommendations to mitigate potential disparities, highlighting the need for inclusive education, equitable access to AI benefits, and adaptive governance frameworks. The findings aim to inform policymakers and stakeholders about the impacts of AI on social inclusion and the digital divide, proposing strategies for fostering a balanced and equitable AI future.