• Korean Management Science Review
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• v.26 no.3
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• pp.205-221
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• 2009

Countries around the world are actively investing in development and industrial application of RFID, a new wireless communications technology widely perceived as a next-generation growth engine with the potential for creation of new business value. In this paper, we empirically study factors influencing the acceptance of RFID by stage of introduction, to contribute making policies aimed at stimulating demand for this technology and accelerating its penetration. The process of acceptance of RFID was divided, in this paper, into three stages: perception, adoption and implementation, and influence factors, both Internal and external to an organization, drawn from existing literature, are analyzed. A conceptual model comprising internal influence factors, including technical, organization and economic factors, and external factors related to environment and this model was tested through structural equation analysis. To obtain data for empirical analysis, we surveyed public institutions and general companies that are potential users of RFID. The data thus collected were analyzed to determine factors influencing the acceptance of RFID by stage, and practical implications for the RFID promotion policy at the level of demand creation and industrial application were derived from the results of this analysis.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.425-432
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• 2009

The construction industry has been a main pillar and serves as a regulator of the Hong Kong economy. Subsequently, the fluctuations in the level of construction output can induce significant rippling effects to the economy. The Asian Financial Crisis started in 1997 and the SARS outbreak in 2003 both introduced major challenges and impacts to the Hong Kong economy and consequently the construction sector. Such decline in the importance of construction has suggested a possible structural change in the sector. It is worth investigating the driving forces behind the construction demand and see if they have changed after the heavy impacts in the past decade. The above considerations have, therefore, been the motivation of the present study to model the Hong Kong residential construction demand through multiple regression technique which can identify the significant influencing factors to the residential demand. The residential construction is studied as it constitutes a significant portion of the total construction volume. The residential sector has great influence to the general economy of Hong Kong. It is found that the underlying market structure and the driving factors for Hong Kong residential demand before and after the Asian Economic Crisis and SARS outbreak are different, suggesting that the residential construction sector or even the larger construction industry may have undergone a major structural change as Hong Kong's economy approaches maturity. It is also observed that the past literatures on construction demand are mostly focusing on predicting demand under a stable economic environment. Hence, it is worth examining if it is possible to model during economic hardship when the residential sector fluctuate dramatically under different external impacts, such as the recent global financial tsunami.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.2
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• pp.5-17
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• 2017

The main objective of the study is to measure the vulnerability of Indonesia's financial system stability in response to external shocks, including from regional economies namely three biggest Indonesia major trading partners (China, the U.S and Japan) and other external factors (oil price and the federal funds rate). Using Autoregressive Distributed Lag (ARDL) model and Orthogonalized Impulse Response Function (OIRF) with quarterly data over the period Q4 2002 - Q1 2016, results confirm that, 1) oil price response has the largest effect to Indonesia financial stability system and the effect period is the longest compared to others, represented by NPL and IHSG; 2) among those three economies, only China's economic growth has significantly positive effect to Indonesia financial stability system. Based on the findings it is better for the authorities to: 1) Diversify international trade commodities by decreasing share of oil, gas, and mining export and boosting other potential sectors such as manufacture, and fisheries; 2) Ensure the survival of Indonesia large coal exporter companies without neglecting burden of national budget; and 3) Create buffer for demand shock from specific countries by diversifying and increasing share of trading from other countries particularly from ASEAN member states.

• Earthquakes and Structures
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• v.3 no.6
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• pp.889-910
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• 2012

Because of the heavy demand of confining steel to restore the column ductility in seismic regions, it is more efficient to confine these columns by hollow steel tube to form concrete-filled-steel-tube (CFST) column. Compared with transverse reinforcing steel, steel tube provides a stronger and more uniform confining pressure to the concrete core, and reduces the steel congestion problem for better concrete placing quality. However, a major shortcoming of CFST columns is the imperfect steel-concrete interface bonding occurred at the elastic stage as steel dilates more than concrete in compression. This adversely affects the confining effect and decrease the elastic modulus. To resolve the problem, it is proposed in this study to use external steel confinement in the forms of rings and ties to restrict the dilation of steel tube. For verification, a series of uni-axial compression test was performed on some CFST columns with external steel rings and ties. From the results, it was found that: (1) Both rings and ties improved the stiffness of the CFST columns and (2) the rings improve significantly the axial strength of the CFST columns while the ties did not improve the axial strength. Lastly, a theoretical model for predicting the axial strength of confined CFST columns will be developed.

• Asian Journal of Innovation and Policy
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• v.3 no.1
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• pp.50-71
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• 2014

This paper is an attempt to understand the external technology acquisition (ETA) process of the machinery SME sector in Bangalore city, India. With the onset of economic liberalization, Bangalore based machinery SMEs have significantly shifted their ETAs from India to abroad, particularly Germany and Japan, among others. The primary objective of ETAs is to enhance their competitiveness by means of improving product quality and productivity as well as meeting customer demand. Replacing outdated machinery or overcoming technological obsolescence is a primary objective of only a few. As a result, majority of the SMEs has gone for multiple ETAs since their inception and we found a statistically significant positive correlation between firm age and number of ETAs. The present study has made two empirical contributions: (i) We have thrown light on the core technology up-gradation issue - How do SMEs approach the problem of external technology acquisition in the current globalization era? (ii) We are able to identify and develop a map of ETA process based on the "learning and experiences" of these SMEs.

• International Journal of Contents
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• v.17 no.3
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• pp.15-29
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• 2021

The purpose of this paper is to explore how the Confucius Institute Chinese international promotion could better promote the development of China's foreign trade, by analyzing the distribution of the Confucius Institute worldwide, based on the theory of language economics, using SWOT analysis to analyze the advantages and disadvantages of the internal environment, opportunities and challenges of the external environment of Chinese international promotion of Confucius Institute. The following findings were gathered: as a language teaching institution and information exchange platform, Confucius Institute has the ability to share trade information and increase trade opportunities; to improve cultural identity and reduce transaction costs; to promote cultural communication and integration, and drive the development of related industries. The internal disadvantages were mainly reflected in the mismatch between the global regional distribution structure of Confucius Institutes, and the economic and trade structure, such as, the asymmetry between language, culture output, and demand. In addition, the management mechanism was not perfect. External opportunities were mainly new opportunities brought by economic globalization, cultural diversity, and the development of the Belt and Road initiative. External challenges were mainly influenced by the China threat theory and the fierce cultural competition among countries. The corresponding countermeasures were put forward based on the advantages of the platform and grasping the external opportunities: improving the quality of operation and speeding up the localization process; respecting cultural differences and realizing cultural common learning; seeking multilateral cooperation and enhancing the capacity for independent development.

• Health Policy and Management
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• v.33 no.3
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• pp.370-375
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• 2023

The responsibility to ensure the health rights of detainees, particularly their medical rights, fundamentally lies with the state in all nations. However, in the correctional facilities of the Republic of Korea, these rights are currently not adequately safeguarded. Numerous detainees express dissatisfaction with the medical services provided and show a preference for voluntary external treatment. However, barriers such as prolonged application processes for external treatment and the requirement for detainees to cover their medical expenses present significant challenges. Therefore, the National Human Rights Commission of Korea has advocated for an increased medical budget in correctional facilities and a bolstered professional medical workforce to improve the medical care of detainees. Recommendations for improvements include: (1) establishing dedicated correctional hospitals for detainees, (2) setting up specialized correctional wards, (3) collaborating with military hospitals, (4) launching mobile medical buses for diverse specialties, (5) enhancing collaboration with public and private medical institutions, (6) increasing compensation for partnering external medical institutions, (7) improving the working conditions of medical officers, (8) safeguarding the defense rights of medical staff, (9) improving the working conditions of public health doctors from the Ministry of Justice in correctional facilities, and (10) pre-assigning public health specialists and military doctors to correctional facilities. By implementing these measures, it is anticipated that the quality of medical services in the Republic of Korea's correctional facilities will improve, reducing the demand for external treatments among detainees and ensuring their health and medical rights are realistically upheld.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.275-284
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• 2016

Accurate electricity demand forecasts is essential in reducing energy spend and preventing imbalance of the power supply. In forcasting electricity demand, we considered double seasonal Holt-Winters model and TBATS model with sliding window. We selected a specific time zone as the reference line of daily electric demand because it is least likely to be influenced by external factors. The forecasting performance have been evaluated in terms of RMSE and MAPE criteria. We used the observations ranging January 4, 2009 to December 31 for testing data. For validation data, the records has been used between January 1, 2012 and December 29, 2012.

• Fisheries and Aquatic Sciences
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• v.4 no.3
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• pp.138-143
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• 2001

Red sea bream, Pagrus major a fish species characterized by its dualistic feeding pattern, was investigated to study the synchronizing effect of light and food on the demand-feeding rhythm. Nocturnal and diurnal red sea bream, both in groups and individually, were exposed to restricted-feeding and Light-Dark cycles of different periods. The phase relationship between both zeitgebers was also studied. In some cases, food availability restricted to the light or dark phase contrary to that of the previous feeding phase changed a diurnal feeding pattern into nocturnal and vice versa, suggesting that food can be one of the switching factors that decides whether the circadian system of red sea bream is diurnal or nocturnal. However, the fact that the feeding pattern of some fish was unrelated with the phase in which food was available suggests that other internal and/or external-factors could be involved in the temporal flexibility of red sea bream.

• Journal of Korea Trade
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• v.25 no.4
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• pp.17-36
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• 2021

Purpose - This study provides useful information to stakeholders by forecasting the tramp shipping market, which is a completely competitive market and has a huge fluctuation in freight rates due to low barriers to entry. Moreover, this study provides the most effective parameters for Baltic Dry Index (BDI) prediction and an optimal model by analyzing and comparing deep learning models such as the artificial neural network (ANN), recurrent neural network (RNN), and long short-term memory (LSTM). Design/methodology - This study uses various data models based on big data. The deep learning models considered are specialized for time series models. This study includes three perspectives to verify useful models in time series data by comparing prediction accuracy according to the selection of external variables and comparison between models. Findings - The BDI research reflecting the latest trends since 2015, using weekly data from 1995 to 2019 (25 years), is employed in this study. Additionally, we tried finding the best combination of BDI forecasts through the input of external factors such as supply, demand, raw materials, and economic aspects. Moreover, the combination of various unpredictable external variables and the fundamentals of supply and demand have sought to increase BDI prediction accuracy. Originality/value - Unlike previous studies, BDI forecasts reflect the latest stabilizing trends since 2015. Additionally, we look at the variation of the model's predictive accuracy according to the input of statistically validated variables. Moreover, we want to find the optimal model that minimizes the error value according to the parameter adjustment in the ANN model. Thus, this study helps future shipping stakeholders make decisions through BDI forecasts.