• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.3
• /
• pp.295-302
• /
• 2020

The paper aims to investigate the impact of foreign direct investment (FDI) on private investment with a sample having 49 developing countries in Asia (17 countries) and Africa (32 countries) during the period of 1990-2017. Unlike previous studies, we split the data into three groups for further analysis, including the Asian, African and the full-panel samples. The results confirm a crowding-in effect which shows that foreign direct investment promotes private investment on all three research samples. Besides, the lagged private investment has a positive and significant effect on itself in the next period which reflects the inertia in the trend of private investment in recipient countries. In the full-panel sample, there are some macro factors such as GDP per capita, trade openness, and electricity that also have a positive and statistically significant impact on private investment. Besides, when more deeply estimate with smaller samples, we find that trade openness and labour force have a positive and significant in Africa, on the other hand, not in Asia. However, the domestic credit variable has a negative and significant effect on private investment only in Asian developing countries. Furthermore, there is only a positive and significant impact of the electricity variable on private investment in Asia.

• The Journal of Asian Finance, Economics and Business
• /
• v.1 no.2
• /
• pp.15-24
• /
• 2014

This research investigates the characteristics, principles, advantages, factors and problems of cluster development in Kazakhstan, and identifies the prerequisites, conditions and stages of organizing clusters on the framework of special economic zones. In this research, we used methods, which will allow analyzing of the organization industrial clusters in special economic zones in Kazakhstan. The author studied international experience of cluster development and the efficiency of the use of the model of the "rhombus effect" with account the specific features of interaction between the participants of the cluster, analysis of the legal framework for the formation and development of clusters. These have been identified as the more important or strategically necessary clusters in Kazakhstan: innovation-technological cluster, innovation-education cluster, innovation-petrochemical cluster, innovative-metallurgical cluster, transport and logistics cluster, textile industry cluster, tourism cluster, agro cluster, construction cluster, medical and pharmaceutical cluster. Firstly, the results suggest that the interaction of science, education, business and government in the development and implementation of innovation policy is not sufficiently structured to provide a balanced representation of the interests of the range of various innovative enterprises in Kazakhstan. Secondly, the legal basis of cluster development in Kazakhstan is determined. Need to develop mechanisms for the implementation of promising direction. Thirdly, the clusters can be formed in the existing special economic zones, allowing them to get right to the mass production of high-tech products that are developed.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.4
• /
• pp.281-286
• /
• 2019

The study aims to analyze the adaptation strategies and resilience of tobacco farmers to face unfavorable trading system. The research method refers to a qualitative approach with phenomenological models and case studies. The findings revealed tobacco farmers in Jember developed various adaptation strategies and resilience through farmer group organizations, partnerships, self-capacity building and access to financial institutions based on economic, social, cultural, and experience values from various sources and interactions among fellow tobacco farmers. The tobacco trading system, which is left to the market mechanism, results in low bargaining power of farmers, this encourages tobacco farmers to develop various adaptation and survival strategies, namely through collective activities of farmer groups, partnerships and self-development and access to financial institutions. Dealing with the unfavorable tobacco trading system, tobacco farmers do not switch to other commodity farming but adapt and make Jember a center for tobacco production in East Java and Indonesia. From this findings, it suggests to the government as the regulator does not only provide subsidies for tobacco farmers, but also must provide various technical assistance to increase the ability of tobacco farmers. More importantly, regulations must be made benefit tobacco farmers other than corporations so that equality can be enjoyed by tobacco economy players.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.1
• /
• pp.301-311
• /
• 2020

With the recent global urban issues such as climate change, urbanization, and energy problems, the smart city was proposed as one of the solutions in urban planning. This study introduces the smart city initiatives of South Korea by examining the recent history of smart city policies and their limitations. This case study reflects the experience of one of the countries which thrived to building smart cities as their national key industries to drive economic growth. It also analyzes the trends of the smart city using big data analysis techniques. Although there are obstacles such as economic recession, failing to differentiate from the U-city, low service level than expected smart functionality, We could recognize the current status of the smart city policies in South Korea such as 1) Korean smart city development projects are actively implemented, 2) public consensus suggests that applying advanced technology and the active role of government need, 3) a comprehensive and strategic approach with the integration and application of advanced technologies is required as well, 4) investment by both private and public sectors need to deliver social improvements. This study suggests future direction of smart city polity in South Korea in the conclusion.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.1
• /
• pp.37-46
• /
• 2020

The paper examines the dynamic relationship of domestic credit and stock market liquidity on the economic growth of the Philippines from 1995 to 2018 applying the autoregressive distributed lag (ARDL) bounds testing approach to cointegration, together with Granger causality test based on vector error correction model (VECM). The ARDL model indicated a long-run relationship of domestic credit and stock market liquidity on GDP growth. When the GDP per capita is the dependent variable there is weak cointegration. Also, the Johansen cointegration test confirmed the existence of long-run relationship of domestic credit and stock market liquidity both on GDP growth and GDP per capita. The VECM concludes a long-run causality running from domestic credit and stock market liquidity to GDP growth. At levels, domestic credit has significant short-run causal relationship with GDP growth. As for stock market liquidity at first lag, has significant short-run causal relationship with GDP growth. With regards to VECM for GDP per capita, domestic credit and stock market liquidity indicates no significant dynamic adjustment to a new equilibrium if a disturbance occurs in the whole system. At levels, the results indicated the presence of short-run causality from stock market liquidity and GDP per capita. The CUSUMSQ plot complements the findings of the CUSUM plot that the estimated models for GDP growth and GDP per capita were stable.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.2
• /
• pp.139-149
• /
• 2018

In the contemporary era of smart tourism, travelers face more accommodation options than ever before. The rapid expansions of alternative accommodation sector are partially owing to the growth of electronic commerce and the rise of online intermediary platforms. Online travel agencies serve as a critical distribution channel for tourism sectors, and the significance is further increased for small and micro entrepreneurs whose direct communication channels are scarce. Considering the holistic process of customer experience started with a third-party online intermediary, this study explores basic and extended attributes of small and medium-sized alternative accommodation where the comparative value is created. In order to achieve the objective, a research design was developed to synthesize the qualitative evidence. The synthesis encompasses both theoretical and practical perspectives, from a systematic review and opinions of academic professionals to an in-depth interview with an industry expert and the current practices of online travel agencies. This study suggests that the sources of value creation for alternative accommodation are not always consistent with those of the traditional. Accounting for the temporal and spatial dynamics in customer experience, the findings of this study provide insights on the comparative value of alternative accommodation, to both academic and industry audiences.

• The Journal of Information Systems
• /
• v.28 no.4
• /
• pp.155-174
• /
• 2019

Purpose Social interest in financial statement notes has recently increased. However, contrary to the keen interest in financial statement notes, there is no morphological analyzer for accounting terms, which is why researchers are having considerable difficulty in carrying out research. In this study, we build a morphological analyzer for accounting related text mining techniques. This morphological analyzer can handle accounting terms like financial statements and we expect it to serve as a springboard for growth in the text mining research field. Design/methodology/approach In this study, we build customized korean morphological analyzer to extract proper accounting terms. First, we collect Company's Financial Statement notes, financial information data published by KPFIS(Korea Public Finance Information Service), K-IFRS accounting terms data. Second, we cleaning and tokeninzing and removing stopwords. Third, we customize morphological analyzer using n-gram methodology. Findings Existing morphological analyzer cannot extract accounting terms because it split accounting terms to many nouns. In this study, the new customized morphological analyzer can detect more appropriate accounting terms comparing to the existing morphological analyzer. We found that accounting words that were not detected by existing morphological analyzers were detected in new customized morphological analyzers.

• Journal of Information Technology Applications and Management
• /
• v.12 no.1
• /
• pp.91-109
• /
• 2005

The reason why modern companies adopt cutting-edge technologies aggressively is mainly due to maintain the competitiveness in this cut-throat business environment. One of the most important technology factors to maintain the competitiveness in this modern e-business era is how to adopt and apply information technology(IT). More and more companies are trying to implement their management strategies by applying IT, and therefore it is now important to understand IT strategy. Many of leading-edge companies believe that they need a structured and systematic approach, called ISP (Information Strategy Planning), to secure competitive IT capability, and heavily invest their resources to achieve the excellence in IT. However, eventual effects from those investments are not always proportional since every investment has its own investment parameters and objectives. In this research, we tried to develop a systematic model to verify the relation between the business competitiveness and ISP. First, in order to include the factor 'ISP', we modified the models suggested by past research results, and then analyzed the influences from IT investments and quality of ISP on the IT excellence of businesses. To prove the validity of the developed model, several sets of surveys were performed for 66 companies in various industries including electronics, manufacturing, finance, and service. The result of the research has shown that the quality of ISP impacts more on a corporate's business competitiveness, but none on business output.

• Child Health Nursing Research
• /
• v.22 no.4
• /
• pp.247-256
• /
• 2016

Purpose: The purpose of the study was to identify and describe the caregiving difficulties that mothers of children with spina bifida experience from their own perspectives. Methods: A qualitative descriptive study was designed. Data were collected from five mini-focus group interviews and four individual interviews using open-ended questions. Nineteen mothers of children with mild spina bifida participated in the study during 2014-2015. Data were analyzed using qualitative content analysis to identify major difficulties perceived by the mothers. Results: Five domains were identified with 12 subdomains. "Daily routine continence management" describes difficulties arising in bladder and bowel management for the child with spina bifida. "Management of school life of child" deals with difficulties in relation to the school facilities, such as the toilets, as well as teachers and friends. "Relationship with family and neighbors" illustrates problems in relations with their spouse, normal children, relatives and neighbors. "Maintaining physical and psychological health" includes physical and psychological problems of the mothers. "Finance" describes economic burden that the mothers face in the management of child's illness. Conclusion: The findings from this study provide insight into the practical issues related to the management of chronic conditions of children with spina bifida from the mothers' perspectives.

• Journal of Korean Society for Quality Management
• /
• v.34 no.2
• /
• pp.129-135
• /
• 2006

In the advance of computer technology, it is possible to keep all the related informations for monitoring equipments in control and huge amount of real time manufacturing data in a data base. Thus, the statistical analysis of large data sets with hundreds of thousands observations and hundred of independent variables whose some of values are missing at many observations is needed even though it is a formidable computational task. A tree structured approach to classification is capable of screening important independent variables and their interactions. In a Six Sigma project handling large amount of manufacturing data, one of the goals is to screen vital few variables among trivial many variables. In this paper we have reviewed and summarized CART, C4.5 and CHAID algorithms and proposed a simple method of screening vital few variables by selecting common variables screened by all the three algorithms. Also how to develop a logistics regression model on a large data set is discussed and illustrated through a large finance data set collected by a credit bureau for th purpose of predicting the bankruptcy of the company.