• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.83-91
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• 2021

Health is an outset of psychological, social, financial, and physical state. Several macroeconomic factors are entangled with health and mortality. Infant mortality and life expectancy are two keyguard on demographic research context on last few decades. On the other hand, foreign inflows play an unprecedent role for raising economic circulation and providing more opportunities to build a better society. The study aims to investigate the relationship between foreign direct investment (FDI), economic growth, and Bangladesh's health. This study employs time-series data from 1980 to 2018. Results show, with Auto-regressive Distribute Lag (ARDL) model, that there is significant cointegration among variables. Foreign investment and economic output relate significantly and positively to health. On the contrary, education is quasi-linked with a different sign-on different model. For model validation, pitfalls of time-series multicollinearity, heteroscedasiticy, and autocorrelation are not present. Also, CUSUM and CUSUMSQ tests are validating the model as stable and fit for future prediction. Medical assessment and education need more attention from the government as well as the private sector. FDI can play a catalyst role for improving the health sector, raising opportunity in educating and creating a better lifestyle. In order to optimize foreign investment, the government should implement necessary reforms and policies.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.81-88
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• 2019

This study suggests the ways to promote the technology startups founded by professor, who differs from student or researcher in social status, risk-taking tendency, and motivation. Literatures were reviewed to understand the advantage of faculty's tech start-up, foreign cases, and related researches. In addition, key stakeholders were interviewed. The study shows that domestic faculty entrepreneurship is currently in infant stage while facing obstacles in institutional, financial and practical aspects. In order to promote faculty entrepreneurship, the study suggests that university and professor set up the benefit sharing structure in advance, that the public sector establishes a holding company or investment fund dedicated to support a faculty startup, that proactive effort be made to attract passive professors to the startup world, and that private companies join faculty startups in the process of concept proofing and product commercialization. The study is expected to provide government, university, and industry with practical implication in promoting faculty startup.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.155-164
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• 2024

This study examines whether startup firms start with the resources they already have and expand the resources they can mobilize in the process of business management (Effectuation Model) using public data provided by the government. The results of the study show that the Effectuation Model can partially explain the behavior of early-stage startup firms. Therefore, in terms of policy implications based on these findings, government policies for entrepreneurship should not be based on the selection of companies based on sophisticated business models and hypothetical profit models, but rather on a system that actively supports entrepreneurship in areas that are challenging, even if they seem somewhat reckless at the moment, or that best match the entrepreneur's knowledge. Next, in order to actively spread entrepreneurship, it is necessary to spread business history or entrepreneurial experience. To this end, it is necessary to drastically change the current financial system for startups, where the founder bears all the financial risk, and to more actively consider ways to reduce the risk of startups by allowing society and the financial system to share some of the risk of startups.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.130-137
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• 2010

This paper analyzes the main factors affecting user selection of a small-sum electronic payment system using survey data of 396 users. Several findings emerge. First, users consider three pillars and eight factors in adopting a new system : system features(stability, security, and flexibility), transaction cost(payment commission and settlement period), and financial capability of provider(stability of financial structure, risk management capability, and funding capability). Second, the stability of the financial structure of the system provider is the most important factor to user acceptance of a new e-payment system. Users tend to consider uncertainty risk more seriously than transaction cost. This reflects the reality that electronic payment system service industry has not fully fledged yet. Third, some moderating effects exist according to payment methods and business usages. As for payment methods, speedy settlement cycle for wired/wireless phone payment, system stability for credit card and account transfer payment, and security for advance payment means are crucial factors. As for business usages, the stability of financial structure for online game content, system stability for music and video content, proxy payment commission for e-learning content, flexibility of the payment system for digital adult content, and security for public services are decisive ones.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.148-158
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• 2024

We investigate Autism Spectrum Disorder (ASD), which is typified by deficits in social interaction, repetitive behaviors, limited vocabulary, and cognitive delays. Traditional diagnostic methodologies, reliant on expert evaluations, frequently result in deferred detection and intervention, particularly in South Korea, where there is a dearth of qualified professionals and limited public awareness. In this study, we employ advanced deep learning algorithms to enhance early ASD screening through automated video analysis. Utilizing architectures such as Convolutional Long Short-Term Memory (ConvLSTM), Long-term Recurrent Convolutional Network (LRCN), and Convolutional Neural Networks with Gated Recurrent Units (CNN+GRU), we analyze video data from platforms like YouTube and TikTok to identify stereotypic behaviors (arm flapping, head banging, spinning). Our results indicate that the LRCN model exhibited superior performance with 79.61% accuracy on the augmented platform video dataset and 79.37% on the original SSBD dataset. The ConvLSTM and CNN+GRU models also achieved higher accuracy than the original SSBD dataset. Through this research, we underscore AI's potential in early ASD detection by automating the identification of stereotypic behaviors, thereby enabling timely intervention. We also emphasize the significance of utilizing expanded datasets from social media platform videos in augmenting model accuracy and robustness, thus paving the way for more accessible diagnostic methods.

• The Journal of Economics, Marketing and Management
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• v.8 no.4
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• pp.1-12
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• 2020

Purpose- The purpose of this study is to increase the effect of public technology transfer through government R&D support to secure the competitiveness of public technology startups. The government's R&D budget in 2019 is over 20 trillion won, and there is a legitimate need to increase the performance of technology startups through such R&D results. Research design, data, and methodology- In this paper, we comprehensively analyzed the current status of public research institutes and R&D support projects suitable for founders and analyzed and presented cases of follow-up research conducted by the Institute of Science and Technology Jobs to analyze actual performance cases of R&D support institutes. Results- In this conclusion, a developmental model of public technology entrepreneurship was proposed to increase the performance of public technology commercialization with the scalability of research institutions. In order to create a public technology information system between consumers and suppliers, a Steinweiss-type technology commercialization model for public technology commercialization, and a job-creating enterprise-type linkage R&D support business model were presented to create the results of R&D support organizations. Conclusions- Through the results of this study, it is meaningful to analyze the performance cases of technology commercialization of R&D support institutions, which have not been studied so far, to build competitiveness of research institutions and to present a growth model for the spread of technology startups. This study has implications in terms of suggesting a way to build competitiveness in technology commercialization between market demanders and suppliers by linking existing public technology startups, which deviated from the simple commercialization support system, with job creation by expanding the R&D support system.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.197-207
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• 2013

The purpose of this study is to analyze the effect of controlling consulting service quality in relation to the factors of success and performances of the social enterprises. In order to achieve the objective of this study, securement of market competitiveness, entrepreneurship and network activity was defined to be the factors of success and the research model and hypothesis was set according to the theoretical basis of the factors of success, performances and the quality of consulting services. The results showed that first, securement of market competitiveness, entrepreneurship and network activities as factors of success all had significant effects on performances pertaining to both profit-making and public interest, having great influence on the securement of market competitiveness of the social enterprises. Secondly, as a result of analyzing the effects of controlling the quality of consulting services in relation to the relationship between the factors of success and management performances of the social enterprises, network activity showed to have significant effect on performances pertaining to both profit-making and public interest. Through this study, the importance and the necessity of the improvement of consulting services and network activities of social enterprises were highlighted and the necessity of a new consulting principle in the consulting industry that can be specialized to social enterprises is proposed.

• Asia Pacific Journal of Business Review
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• v.1 no.2
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• pp.89-105
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• 2017

In this era of information and communication technology (ICT), efficient and cost effective public services delivery had become highly expected by the citizen in every country. In developed countries, digitally enabled public services were established in recent years while the developing countries like Bangladesh were trying to establish this advancement. The UNDP, USAID and the Government of Bangladesh launched the Access to Information (A2I) programme to improve the services delivery to reach at the doorsteps of citizen. Under this umbrella, Union Digital Centers (UDCs) were launched in 2009 at every Union of Bangladesh to reduce the "Digital Divide" in public service delivery. Thus, it had become the concern nowadays to make this initiative sustainable for a long run, this study focused to find out some key factor to be considered for making them sustainable in Bangladesh. It explored the previous researches related to these centers and same categories of institutions in other countries where the researchers argued about some issues in different aspects. Based on their findings and discussions, this study tried to analyze the key issues influencing the sustainability factors. To analyze the factors for sustainability, it addressed the financial, investment, business development and publicity, competencies of entrepreneurs, community acceptance and gender issues, institutionalization and physical infrastructure concerned with UDCs. The Government agencies, policy makers, researchers could be consider those recommendations for developing the strategies for sustaining the operations of UDCs in Bangladesh.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.137-150
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• 2015

This study investigated the influence of Entrepreneurship, Start-up Competency on Entrepreneurial Satisfaction and the moderating effect of Flow experience. The goal of this investigation is to empirically prove that despite the benefits of educational and financial support, mentoring and consulting which selected applicants received as a part of supporting business for start-up companies provided by national and local government and public organizations, there is a gap between individual entrepreneurs' satisfaction after actual foundation of the company. For the purpose of this investigation, data was collected through a survey with 320 entrepreneurs who were beneficiaries of government's supporting business for start-up companies and have founded their companies less than 5 years ago. For entrepreneurship variables, three factors of innovativeness, proactiveness and risk-taking were reviewed, and also reviewed the three variables network capability, market orientation and marketing capacity as Start-up competency. The collected data was used to perform a multiple regression analysis, and the moderating effect of flow experience was analysed using moderated regression analysis. The result of analysis shows that innovativeness, proactiveness and risk-taking of entrepreneurship positively affected the entrepreneurial satisfaction, and network capability, market orientation and marketing capability also positively affected the entrepreneurial satisfaction. As a result of analysing the moderating effect of flow experience, it appeared that there is a positive moderating effect between entrepreneurship, start-up competency, and the entrepreneurial satisfaction. This result concludes that evaluation items of entrepreneurship and start-up competency as applicant selecting criteria in supporting business for start-up companies, are valid. It is also concluded that start-up supports such as education, funds and consulting are also important, but it is necessary to make changes such as construction of start-up ecosystem and reinforcement of networking support, so that entrepreneurs can have the flow experience themselves in the process after founding a company.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.425-433
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• 2018

Recently, the rate of openness of public data has increased and related development is also increasing. As recent government policies have also focused on opening public data, the Public Data Index among OECD member nations has been ranked first for two consecutive years. However, despite the government's interest and active support, the post-start-up survival rate was the lowest among the OECD countries. The lowest survival rate was found to be the biggest failure factor for consumers to exhibit unwanted products. In this study, we analyze the desired parts of the consumers that are lacking in the start-up and propose the service of location analysis. In this process, we utilize data related to entrepreneurship among various public data supported by the government.