• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.19-28
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• 2021

The present study aims to evolve the value cycle of e-business through value co-creation during the Coronavirus pandemic. The population of the study is experts consisting of university professors in the fields of marketing management, e-commerce, and managers of organizations and companies in Iran. Using the snowball sampling method, 50 of them were selected as the sample. This study employs the factor analysis method and structural equation modeling (SEM) approach for identification of the factors. The findings of this study reveal that 10 factors affect the evolution of the value chain into the value cycle, including customer relationship management, e-literacy, value co-creation, e-readiness, and integrated value creation, the logic of service dominance, shared value creation, virtual culture, e-trust, and network economics. Despite the difficulties that COVID-19 has created for businesses worldwide, the evolution of the e-business value cycle through value co-creation in the Coronavirus pandemic can be considered as a positive aspect of the pandemic. In fact, with more pandemics and more customers turning to e-businesses due to the co-creation of customer value, e-businesses can cover their weaknesses and improve their strengths by engaging customers and receiving their feedback, thus transforming their value chain into the value cycle.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.325-332
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• 2021

Foreign capital inflows play an essential role in each country's socio-economic growth, particularly for undeveloped and developing countries where capital accumulation is limited in the early stages of development, and Vietnam is no exception. The purpose of this article is to examine the impact of foreign capital inflows on economic growth in Vietnam. The empirical method employed secondary time-series data set during the period 1995-2018 to determine the impact of FDI, foreign aid, foreign loans, and exports on economic growth in Vietnam by using a linear approach. For this study, data was collected from the World Bank and relevant agencies in Vietnam. The results show that FDI (net inflows), foreign aid, foreign loans, exports, and GDP (current), have a positive effect at a 1% significance level on economic growth. Rather, an increase in FDI (net inflows), foreign aid, foreign loans, exports has beneficial effects on the Vietnamese economy in the study period. Based on the findings of this study, the article proposes several important policy implications for Vietnam in maintaining a high rate of economic growth via the contribution of FDI inflows, foreign aid, foreign loans, and exports.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.529-540
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• 2021

This study proposes a model and attempts to illustrate the relationship between the frequency of dynamic capability utilization and marketing capabilities, and how market, technology, and competitor turbulence may affect these relationships. The findings suggest that in a highly turbulent environment, frequent use of sensing and integration capabilities may cause certain changes in the impact of marketing capabilities, and in a highly competitive environment, marketing capabilities are positively correlated with company performance. The sample consists of 212 enterprises of China with a three-year vertical data span. The partial least square program Smart-PLS was used for data analysis. The careful management of dynamic capabilities (i.e., relational, sensory, and inclusive) is required to address environmental conditions to achieve capacity alignment and ultimately enhance performance. Our findings demonstrate that relationship capabilities are valuable to the organization and might even help improve its sensing and integrating capabilities. In a highly competitive environment, marketing capabilities contribute the most to company performance. The more frequent the environmental turbulence, the higher the impact of integration capabilities on marketing capabilities. This situation necessitates the organization's usage of dynamic capabilities to modify its marketing approach effectively between stable and turbulent environments.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.105-110
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• 2021

The article presents the idea that in the conditions of modernization of higher professional education, there is an obvious contradiction between the practical need of higher education for a scientifically grounded theory and methodology of distance learning for students and the lack of the necessary didactic and content-methodological guidelines for its implementation. In theoretical research and applied development, as a rule, the technocratic approach prevails. The emphasis is on the technical capabilities of modern computers and telecommunications. Productively, from a pedagogical point of view, this contradiction can be resolved on the basis of modeling distance learning management for students, developing and implementing a corporate information educational environment in universities, increasing the effectiveness of the methodology of pedagogical interaction between students and teachers during the implementation of distance learning.

• Communications for Statistical Applications and Methods
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• v.28 no.5
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• pp.447-462
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• 2021

In insurance, the surrender rate is an important variable that threatens the sustainability of insurers and determines the profitability of the contract. Unlike other actuarial assumptions that determine the cash flow of an insurance contract, however, it is characterized by endogenous variables such as people's economic, social, and subjective decisions. Therefore, a microscopic approach is required to identify and analyze the factors that determine the lapse rate. Specifically, micro-level characteristics including the individual, demographic, microeconomic, and household characteristics of policyholders are necessary for the analysis. In this study, we select panel survey data of Korean Retirement Income Study (KReIS) with many diverse dimensions to determine which variables have a decisive effect on the lapse and apply the lasso regularized regression model to analyze it empirically. As the data contain many missing values, they are imputed using the random forest method. Among the household variables, we find that the non-existence of old dependents, the existence of young dependents, and employed family members increase the surrender rate. Among the individual variables, divorce, non-urban residential areas, apartment type of housing, non-ownership of homes, and bad relationship with siblings increase the lapse rate. Finally, among the financial variables, low income, low expenditure, the existence of children that incur child care expenditure, not expecting to bequest from spouse, not holding public health insurance, and expecting to benefit from a retirement pension increase the lapse rate. Some of these findings are consistent with those in the literature.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.29-35
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• 2021

This study discusses the effect of human capital and technology on economic growth in Indonesia using annual time series data over the 35-year research period (1984-2019). This study uses an autoregressive distribution gap to the cointegration approach to understanding the relationship between human capital, technology, and economic growth. Human capital is inherent in humans and becomes capital in providing the best performance that has an impact on their own income. We use the human capital framework in this study where education is one mechanism to increase human capital. Based on the results of our estimation, we find that the increase in human capital using the education mechanism affects economic growth. This shows the role of human capital investment is very important in economic growth. Technology shows a significant positive effect on economic growth. Increasing human resources and technology are important factors in efforts to increase economic growth in Indonesia. Educational development is the key to the success of increasing human capital and technological development because education plays a role in improving the quality of human resources. Increasing human resources here is in the form of increased knowledge, mastery of technology, innovation, and the ability to develop technology to encourage technology development.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.253-263
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• 2021

This research aims to increase the tourism destination competitiveness for the city of Malang. This research uses the extended criteria of Resource-based View (RBV): VRIOLU (Valuable, Rare, Inimitable, Organization, Large Market, Unmet Need) to analyze tourism destination competitiveness for the city of Malang. A qualitative approach with a case study research design is adopted in this research. Data was collected using data triangulation, such as an in-depth interview with the informants, direct observation in the form of field notes, and picture documentation. The data was analyzed manually by the researchers using thematic analysis. In this research, VRIOLU, the extended criteria of RBV is proven that it can be used as a tool to analyze tourism destination competitiveness by giving the researchers a framework to get the answers from the informants to achieve the research aim. Suggestions to improve the tourism destination competitiveness for the city of Malang include: (1) Actively promoting the added value that can be given by the city of Malang to the visitors; (2) Forming a tourism board to manage the city of Malang as a tourism destination in a holistic manner; (3) Creating synergistic promotion between the stakeholders of tourism operator and governments.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.667-678
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• 2021

The industrial life cycle theory was extended to the product life cycle theory and the corporate life cycle theory, but a conceptual life cycle was presented, and quantitative empirical evidence for this was insufficient. It is intended to improve appropriate resource planning and resource allocation by quantitatively predicting the industrial cycle and its position (age) in the cycle. Human resources, tangible assets, and industrial output analysis were conducted based on 28 years of actual data of 39 industries in Korea by applying the Gompertz model, which is a population ecology prediction model. By predicting with the Gompertz model, the coefficient of determination R2 value was 97% or more, confirming the high suitability with the actual cumulative sales value of the industry. A numerical model for calculating the life cycle of each industry, calculating the saturation of input resources for each industry, and diagnosing the financial stability of the industry was presented. These results will contribute to the decision-making of industrial policy officers for budget planning appropriately for each stage of industry development. Future research will apply the numerical model of this study to foreign national industries, complete an inter-industry convergence diagnostic model (e.g. ease of convergence, suitability of convergence, etc.) for renewal of fading industries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.37-41
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• 2021

This study aims to investigate the relationship between the exchange rate and Trade Balance. Trade Balance is used as the dependent variable, and the independent variables are Exchange Rate, Gross Domestic Product, and Inflation. Augmented Dickey-Fuller unit root test was adopted to test the stationary property of time series data, Auto Regressive Distributed Lag model was employed to find the long run and short-run relationship and long-run adjustment, Bound test approach, the unrestricted Error Correction Model and Granger Causality Test are used to analyze the data from 1977 to 2019. The research findings suggest that inflation has a positive impact on the trade balance in the short run. The exchange rate and the Gross Domestic Product have adverse effects on Trade balance in the long run. The coefficient of ER in the previous year is negative, and the coefficient of TB in the previous year is positive and significant. This is consistent with the J-Curve phenomenon, which states that devaluation may not improve trade balance in the immediate period, but will significantly impact the trade balance improvement in subsequent periods. Hence Marshall Lerner Condition exists in Sri Lanka.