• The Journal of Asian Finance, Economics and Business
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• v.5 no.1
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• pp.43-52
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• 2018

This research aims to evaluate the current state of technology of enterprises in Vietnam in comparison with several countries in the AEC economic community, thereby to propose several recommendations to Vietnamese enterprises in order able to promote technology innovation activities, create competitiveness with enterprises in the region. Qualitative research methods are used through statistics and comparative descriptions from data collected from various sources: WEF, World Bank, CIEM, General Statistic Office. The study results show that Vietnamese enterprises still have many limitations in technology, originated from their small business scale (capital and labor), the current research capacity is still low, the funding for this activity is not high and the accessibility of the capital is still difficult. According to the Global Competitiveness Index, Vietnam's science and technology indexes are low compared to other AEC-developed countries including the availability of the latest technology; the acquisition of technology at the enterprise level; the capacity of improvement; quality of scientific research organizations..., which shall be a major barrier for Vietnamese enterprises to have to overcome to be able to create the competitiveness when entering the global market. From then on, the authors proposed solutions for two subjects, enterprises and government, to help Vietnamese enterprises to overcome this barrier.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.927-937
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• 2020

Global warming awareness through energy conservation is growing due to the regulatory policies issued by governments and voluntary organization that established carbon emission limits. Transportation is one of the major contributors to carbon emissions. Bike will be simultaneously saving money, getting fit and helping to reduce global warming. Web design has been identified as a key factor for the acceptance and success of the websites and electronic commerce. The purpose of this research is to investigate the effective implementation of the proposed Analytic Hierarchy Process (AHP) technique on a bike case study whose company (Bike Company) is involved in web design for a critical component in the demonstration. Survey research used a variety of data collection methods, with the most common being questionnaires and interviews of some exporters. The research results reveal that the top five key success factors are Good reputation, Transaction security, Ease of use, Promotion, and Diversified choices, which provide the guidelines and directions for decision-makers to design effective websites in the current competitive business scenario. The major findings of this study are suggesting that Internet marketing channels are securing the company's relevance, together with paving the way for methods to increase web traffic.

• Asia pacific journal of information systems
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• v.20 no.1
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• pp.101-125
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• 2010

This paper uses the status inconsistency theory to identify factors related to team members' (dis)satisfaction with the composition of virtual IT project teams in order to predict their turnover intentions. Our approach is based on the premise that virtual teams, although increasingly popular among global organizations, create an environment replete with cultural and functional diversity. Yet, a paradox exists: increasing diversity in virtual teams maximizes the creation and use of organizational knowledge while simultaneously increasing dissatisfaction and turnover. This is a critical issue in the formation and management of virtual teams. Therefore, we investigate how team members' perceptions of differences among themselves (i.e. foreignness) impact the stability of team membership, leading to what we describe as a 'liability of foreignness.' Findings indicate that a member's perception of foreignness has a detrimental effect on satisfaction with his or her team members while satisfaction is likely to decrease turnover intention. This may be an implication that managers need to maintain a balance in order to discourage member turnover and the loss of key players.

• Health Policy and Management
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• v.29 no.3
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• pp.342-356
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• 2019

Background: The objectives of the study are to find out the effect of the implementing reform in three Central Asian countries, identify its impact on health status and health care delivery systems. This study address to identify strong and weak points of the health systems and provide a recommendation for further health care organization. Methods: A comparative analysis was conducted to evaluate the effects of implemented policy on health care system efficiency and equity. Secondary data were collected on selected health indicators using information from the World Health Organization Global Health Expenditure Database, European Health Information Platform, and World Bank Open Data. Results: In terms of population status, countries achieved relatively good results. Infant mortality and under-5 mortality rate decreased in all countries; also, life expectancy increased, and it was more than 70 years. Regulations of the health systems are still highly centralized, and the Ministry of Health is the main organ responsible for national health policy developing and implementation. Among the three countries, only Kyrgyzstan was successful in introducing a national health system. Distribution of health expenditure between public expenditure and out-of-pocket payments was decreased, and out-of-pocket payments were less the 50% of total health expenditure in all countries, in 2014. Conclusion: After independent, all three countries implemented a certain number of the policy reform, mostly it was directed to move away from the old the Soviet system. Subsequent reform should be focused on evidence-based decision making and strengthening of primary health care in terms of new public health concepts.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.117-127
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• 2021

This study was conducted to comprehensively identify factors that potentially influence corporate investment behavior, including micro, macro, and sectoral variables. Furthermore, investment behavior was studied across nations based on their participation in the global value chain (GVC), which was evaluated based on commodities, limited manufacturing, advanced manufacturing, and innovative activities. The study uses the dynamic panel data analysis and Generalized Method of Moment (GMM) estimation for a sample of 800 corporations, with data spanning over 2000-2019. The study result shows that in all types of countries, the coefficient lag indicator of capital expenditure statistically has a significant effect on capital expenditure. Sales growth, exchange rate, and GDP have a significant positive effect on corporate investment growth, while DER has a negative effect. In commodity countries, corporate investment is influenced by sales growth, exchange rate, and FCI. The variables that influence corporate investment in manufacturing countries are the FCI, exchange rate, sales growth, GDP, and DER. In innovative countries, variables that significantly affect capital expenditure are DER, GDP, and Tobin Q. In each type of country, the interaction terms between exchange rate and commodity price are positive and statistically significant.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.8_spc
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• pp.1219-1232
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• 2019

The global goat population continues to grow and is now over one billion. The number of goats raised primarily for milk production is also growing, due to expanding demand. Most of the world dairy goat production and consumption is in Asia, but a global view of the dairy goat sector reveals important lessons about building successful modern dairy goat industries. The most organized market for goat milk is found in Europe, especially in France. The European goat sector is specialized for milk production, mostly for industrial cheesemaking, while also supporting traditional on-farm manufacturing. Government involvement is significant in sanitary regulation, research, extension, support for local producer organizations, and markets, and ensures safety and quality. Nonetheless, producers are still vulnerable to market fluctuations. New dairy goat industries are developing in countries without a long goat milk tradition, such as China, the United States, and New Zealand, due to rising consumer demand, strong prices, and climate change. The mix of policies, management and markets varies widely, but regardless of the country, the dairy goat sector thrives when producers have access to markets, and the tools and skills to sustainably manage their livestock and natural resources. These are most readily achieved through strong and inclusive producer organizations, access to technical services, and policies that enable the poor and marginalized groups to benefit from increasing demand.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.9
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• pp.77-86
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• 2018

Demand for construction technology is expected to change due to changes in domestic and foreign construction markets and the fourth industrial revolution. In particular, demand for project management strategy and project management capability is even more increasing rather than existing production technology capability. However, the current re-education program for engineers and technicians in construction industry is not matching the need of improving capacity required to reflect the demand of construction technology from construction industry. Therefore, in this study, as a part of efforts in innovating the current global construction talent re-education system to cope with the change in the construction industry, we analyzed the difference between the demand of construction technology and the present condition of construction re-education program. In order to investigate the current status of re-education of construction, questionnaires were prepared to gather opinions from construction engineers who attended construction re-education program and also from industrial partners that are jointly doing business. This study can be an example to improve the construction re-education program as a system for substantially reinforcing the competence of engineers rather than those programs that are merely verifying and/or extending engineers' certification.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.483-497
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• 2023

This study aims to provide strategic recommendations for promoting the development of the global satellite data services industry by analyzing the startup landscape. Based on the analysis of startup data, such as number of startups, market segment, and funding amount, we examined the paradigm shift in the global satellite data services market, particularly its convergence with other market segments. To this end, we derived the cumulative funding-convergence dynamics matrix, which classifies the converging areas into four quadrants by considering the growth rate of converging segments and the cumulative funding amount. In this way, we can specify converging areas in the satellite data services market that bear potential importance for the creation of new markets. The findings of this study are expected to contribute to the advancement of the satellite data services industry and facilitate the exploration of new market opportunities. Furthermore, they can serve as a valuable reference for policy makers, industry stakeholders, government officials, and researchers involved in the satellite data services industry in capitalizing on the emerging space economy.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.217-227
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• 2022

Predicting return and volatility in the global Capital Market during a pandemic is challenging, and it is more difficult for a specific sector, particularly if that sector has a positive outlook. The goal of this research is to look at the impact of COVID-19 on the mean and volatility of the Information Technology Indexes of the best nine technology-driven countries based on return performance using an econometric GARCH model that is widely used. The daily returns of information technology indexes are evaluated for the same from November 2018 to February 2021. Data is taken from Yahoo Finance for CAC Tech (France), DAX Tech (Germany), FTSE All Tech (UK), KOPSI 200 IT (Korea), NIFTY IT (India), S&P 500 IT (US), S&P TSX (Canada), SSE_IT (China) and TOPIX17 (Japan). The results show daily positive mean returns for 8 countries' IT Indices and further, an uptrend in mean daily returns is observed in the crisis period for 6 countries' IT Indices. The exogenous variable COVID-19 which was taken as a regressor for the GARCH model was found to be positively significant for IT indices of all the countries. The overall results confirm the presence of the mean-reverting phenomenon for IT indices of all the countries.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.381-386
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• 2020

Global construction and engineering consulting (E&C) firms are actively seeking entry into overseas markets based on loan projects from multilateral development banks to provide a basis for entry into overseas markets and sustainable growth. Bids on these projects are competitive between global top firms in terms of the technical level and price due to the limited number of projects; thus, developing a successful partnership to complement competence has become an essential element to win bids. In this regard, many studies have analyzed enterprises through characteristic analyses or the derivation of influential factors from the past social networks based on social network analysis (SNA). However, few studies have been conducted to reflect the process of changes to analyze collaborative relationships. Thus, this study aims to identify dynamic changes in past social networks and develop a model that can predict changes in the relationships between E&C firms based on similarities or differences between firms, presenting a methodology to target firms for appropriate collaboration. The analysis results demonstrate that the sensitivity of the developed prediction model was 70.26%, which could accurately predict 163 out of 232 actual cooperative cases.