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This paper attempts to examine the strategies of national innovation system that shaped the science and technology cycles of South Korea, Taiwan, Singapore, Malaysia and China by theorizing the science and technology (proxied by papers and patents) trajectories of these economies using Meyer's taxonomy of bi-logistic growth. The findings suggest that the strategic catch-up models of South Korea and Taiwan have resulted in a much longer pulse in the growth trajectories during the transition towards knowledge-based economy than countries that are dependent on FDI for learning and acquiring technology during the early catch-up period such as China and Malaysia, while the results are mixed for Singapore. The catch-up strategy of supporting new start-ups for pioneering technology facilitated the development of capabilities of indigenous firms in the case of South Korea and Taiwan. This provides a policy lesson for transition from industrial-based to knowledge-driven development through the formation of evolving dynamic propagating behavior in science and technology. [ABSTRACT FROM AUTHOR]

There have been major changes in flow pattern in the Youngsan River due to construction in-stream structures including newly built Seungchon Weir and Juksan Weir in the middle of the river in addition to existing estuarine dam. Increased nutrient load from basin area has been a major cause of repetitive algal blooms in the river. And increased residence time due to the construction may affect growth dynamics of phytoplankton in the river. This paper reports the construction of a mathematical model to predict phytoplankton dynamics in the area for evaluation of various future management scenarios. The Environmental Fluid Dynamics Code model was chosen as a three-dimensional hydrodynamics and water quality model. Hydrodynamics model and water quality model were successfully calibrated using observed water level data and water quality data, respectively, in selected locations in the river. It is expected that the developed model can be successfully applied to select appropriate water quality management alternatives. [ABSTRACT FROM PUBLISHER]

Abstract: The purpose of the current paper is to develop a theoretical model that identifies why people blog personal content and explains the effects of blogging in “real life.” Data from an online survey are analyzed using maximum likelihood procedures in LISREL 8.75 to test the structural model. Among 531 respondents from Cyworld, a popular social network and blogging site in South Korea, a randomly selected group of 251 users was used to develop the model. The other group of 280 users was used to confirm the usefulness of the revised model. Results (N =251; N =280) showed that impression management and voyeuristic surveillance are two major psychological factors that motivate individuals to post and read messages on personal blogs. Results also showed evidence for blogging’s real life consequences, measured by users’ perceived social support, loneliness, belonging, and subjective well-being. [Copyright &y& Elsevier]

Abstract: The aim of this paper is to present and test a model of innovativeness improvement based on the impact of organizational learning culture. The concept of organizational learning culture (OLC) is presented and defined as a set of norms and values about the functioning of an organization. They should support systematic, in-depth approaches aimed at achieving higher-level organizational learning. The elements of an organizational learning process that we use are information acquisition, information interpretation, and behavioral and cognitive changes. Within the competing values framework OLC covers some aspects of all four different types of cultures: group, developmental, hierarchical, and rational. Constructs comprising innovativeness are innovative culture and innovations, which are made of technical (product and service) and administrative (process) innovations. We use data from 201 Korean companies employing more than 50 people. The impact of OLC on innovations empirically tested via structural equation modeling (SEM). The results show that OLC has a very strong positive direct effect on innovations as well as moderate positive indirect impact via innovative culture. [Copyright &y& Elsevier]

The current global health emergency triggered by the pandemic COVID-19 is one of the greatest challenges we face in this generation. Computational simulations have played an important role to predict the development of the current pandemic. Such simulations enable early indications on the future projections of the pandemic and is useful to estimate the efficiency of control action in the battle against the SARS-CoV-2 virus. The SEIR model is a well-known method used in computational simulations of infectious viral diseases and it has been widely used to model other epidemics such as Ebola, SARS, MERS, and influenza A. This paper presents a modified SEIRS model with additional exit conditions in the form of death rates and resusceptibility, where we can tune the exit conditions in the model to extend prediction on the current projections of the pandemic into three possible outcomes; death, recovery, and recovery with a possibility of resusceptibility. The model also considers specific information such as ageing factor of the population, time delay on the development of the pandemic due to control action measures, as well as resusceptibility with temporal immune response. Owing to huge variations in clinical symptoms exhibited by COVID-19, the proposed model aims to reflect better on the current scenario and case data reported, such that the spread of the disease and the efficiency of the control action taken can be better understood. The model is verified using two case studies based on the real-world data in South Korea and Northern Ireland. • Realistic modelling and prediction of COVID-19 transmission using modified SEIRS. • Model is robust with considerations for ageing population and time delay factors. • Prediction of R 0 after intervention to measure its efficiency to flatten the curve. • Model verified using real-world data from South Korea and Northern Ireland. • Design and development of open-source simulation package using MATLAB/Simulink. [ABSTRACT FROM AUTHOR]