• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.999-1007
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• 2020

This study aimed to investigate the influence of spiritual leadership on innovative work behavior and the effect of knowledge sharing on job crafting. Furthermore, the roles of knowledge sharing as a mediator for the impact of spiritual leadership on innovative work behavior, and job crafting as a mediator for the relationship between variables, were also examined. This research employed quantitative analysis, including the PLS-SEM approach; SMART-PLS, a measurement and structural equation model was employed to explain the relationship between variables, and the effect of mediation. The population study consisted of all lecturers at the Faculty of Economics and Faculty of Economics and Business at the PTKIN in East Java, Indonesia, comprising 220 randomly-selected samples. The result showed spiritual leadership does not directly influence innovative work behavior, while knowledge sharing directly affects job crafting. The findings indicated knowledge sharing mediates the impact of spiritual leadership on innovative work behavior, and the role of job crafting as a mediator for the relationship between variables was accepted. Therefore, this research confirms a positive influence of knowledge sharing on job crafting, and indicates both factors play an important role in mediating between variables, and are important for lecturers' innovative work behavior.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1007-1013
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• 2020

This study aims to understand the determinant of the employee's intention to use information system within the framework of the Technology Acceptance Model (TAM) and Information System Success Model (ISSM). This paper also aims to examine the influence of ISSM dimension on the perceived usefulness and the perceived ease of use. The research respondents were 248 employees of Universitas Negeri Semarang (UNNES) who are users of the Financial Information System (SIKEU). Data was obtained using a questionnaire that was distributed online via Google form. The data analysis method used is Structural Equation Model (SEM) analysis using the Warp-PLS software. The results showed that the dimensions of TAM (perceived ease of use and perceived usefulness) had a positive and significant influence on the employee's intention to use SIKEU. The ISSM dimension (system quality and information quality) also had a significant influence, although other ISSM dimensions (service quality) had not been proven to have a significant influence on the employee's intention to use SIKEU. Moreover, the results showed that the employee's intention to use is a determinant of SIKEU's actual usage. Perceived ease of use was significantly determined by system quality, information quality, and service quality. In addition, the perceived usefulness was significantly determined by system quality and information quality.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1015-1024
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• 2020

This inductive study seeks to establish a conceptual background for theoretical development regarding talent misuse in the context of small and medium-sized enterprises (SME). The two objectives for the goal were (1) to explore and build a list of unethical treatment practiced on young talents; (2) to establish new framework for the special context or refining the existing framework on employee mistreatment. For the first goal, an attempt was made to develop a list of mistreating behavior by collecting and analyzing cases of ethical disputes. Analyses on 64 cases of talent mistreatment, namely 'passion pay', was conducted to present a conceptual ground for further investigation. Then, for the second objective, this study has proposed an integrative approach for assessing these ethical elements. The ethical implications were discussed based on an assessment conducted using three theories of ethics. Finally, a cluster analysis further shows the emergence of three groups based on the mistreating behaviors. We observed seven different mistreatment behaviors under four categories of mistreatment practices. Additionally, the cluster analysis results imply that talent mistreatment may be rooted in work characteristics. Organizational size may provide some contextual reasoning, but the extent to which this factor interacts with work characteristics left unclear.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.543-553
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• 2020

This paper examines the effect of COVID-19 pandemic on the Philippine stock exchange, peso-dollar rate and retail price of diesel using robust least squares regression and vector autoregression (VAR). The robust least squares regression using MM-estimation method concluded that COVID-19 daily infection has negative and statistically significant effect on the Philippine stock exchange index, peso-dollar exchange rate and retail pump price of diesel. This is consistent with the results of correlation diagnostics. As for the VAR model, the lag values of the independent variable disclose significance in explaining the Philippine stock exchange index, peso-dollar exchange rate and retail pump price of diesel. Moreover, in the short run, the impulse response function confirmed relative effect of COVID-19 daily infections and the variance decomposition divulge that COVID-19 daily infections have accounted for only minor portion in explaining fluctuations of the Philippine stock exchange index, peso-dollar exchange and retail pump price of diesel. In the long term, the influence levels off. The Granger causality test suggests that COVID-19 daily infections cause changes in the Philippine stock exchange index and peso-dollar exchange rate in the short run. However, COVID-19 infection has no causal link with retail pump price of diesel.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.9-21
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• 2020

The aim of this paper is to predict the Borsa Istanbul (BIST) 30 index movements to determine the most accurate buy and sell decisions using the methods of Artificial Neural Networks (ANN) and Genetic Algorithm (GA). We combined these two methods to obtain a hybrid intelligence method, which we apply. In the financial markets, over 100 technical indicators can be used. However, several of them are preferred by analysts. In this study, we employed nine of these technical indicators. They are moving average convergence divergence (MACD), relative strength index (RSI), commodity channel index (CCI), momentum, directional movement index (DMI), stochastic oscillator, on-balance volume (OBV), average directional movement index (ADX), and simple moving averages (3-day moving average, 5-day moving average, 10-day moving average, 14-day moving average, 20-day moving average, 22-day moving average, 50-day moving average, 100-day moving average, 200-day moving average). In this regard, we combined these two techniques and obtained a hybrid intelligence method. By applying this hybrid model to each of these indicators, we forecast the movements of the Borsa Istanbul (BIST) 30 index. The experimental result indicates that our best proposed hybrid model has a successful forecast rate of 75%, which is higher than the single ANN or GA forecasting models.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.275-281
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• 2020

This study aims to explore a new approach of relationship assessment by partially employing attitudinal commitment to measure the influence on perception of cooperation within the Vietnamese rice supply chains, which begins from commercial enterprises up to the retailers in the Vietnamese market. The quantitative research is first built around the measurement instruments for the constructs of relationship quality (RQ) and its dimensions; next, a questionnaire is designed; finally, we deal with sample issues and analyze the data to answer the research questions. The truncated sampling technique and Likert-scale survey is a suitable method for analyzing Vietnamese rice retailers and data collection. The preliminary test was conducted using SPSS Statistics; the main test was, then, carried out to evaluate the proposed model and test the hypotheses. Appropriately, the results point to a significant influence of attitudinal factors on trust and satisfaction. In addition, with the involvement of perceived trust and satisfaction, that combination showed the mediating effect between the attitudinal factors and the relationship quality. The ad-hoc analysis indicated the significant role of the two mediators. To be more specific, the high degree of trust and satisfaction has a positive impact on the formation of the relationship between participants in the sector.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.729-740
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• 2020

The study examines the efficiency of private sector banks in India with the help of Window DEA (Data Envelopment Analysis) for a period from 2005 to 2017. With a window of three years, the period was divided into 11 windows. The study outcomes show that 59.9% of all private sector banks in India operate at more than 0.9 level of efficiency, and there are only three occasions when banks were operating at the efficiency value between 0.6 to 0.7. Further, the consistency in the efficiency scores of the banks has also been analyzed using an efficiency mapping matrix, and the mean efficiency score of the bank in each window is studied. The score of standard deviation was interpreted accordingly for these banks. Banks that are showing the highest efficiency scores also have a higher variance of efficiency scores. There was no bank identified in the matrix that promises high-efficiency ratings with low variability. The study concludes that the analysis of the efficiency mapping matrix indicates that, as a DMU escalates in the efficiency scores, the standard deviation reflecting the risk in overall efficiency scores also tends to rise. The findings complement the concept of higher risk to higher return or greater efficiency.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.119-128
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• 2020

The aim of this paper is to investigate the level of intellectual capital disclosure (ICD) in commercial banks listed on the Indonesian Stock Exchange. This paper also observed the effects of ICD and corporate governance mechanism on market value. This study uses content analysis techniques to measure ICD. The paper provides a novel approach to measure the ICD quality in developing countries using a four-numerical coding system. Secondary data were obtained from the financial statements and annual reports of the banks for the period 2011-2014. The data from 31 banks were analyzed using ordinary least square regression. The study reports that the quality of intellectual capital disclosure in Indonesian commercial banks increase steadily. Narrative disclosure dominates the report of intellectual capital in Indonesian banks. The results indicate that the size of audit committee, frequency of audit committee meeting, and intellectual capital disclosure affect positively the market value. Overall, the results indicate intellectual capital disclosure is associated with the market capitalization; these findings indicate that the ICD is a consideration in a stock investment decision. While regulations in Indonesia regarding intellectual capital reporting are not conclusive yet, the information needs of stakeholders have encouraged companies to expand voluntary disclosure.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.443-450
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• 2020

This study aims to add insight into the effectiveness of e-training, e-leadership, work-life balance, and work motivation on millennial generation employees' performance in today's work life amid the outbreak of the COVID-19 pandemic that requires to work more online. Unlike previous generations, millennials are technology-literate, intent on succeeding quickly, give up easily, and seek instantaneous gratification. The population in this study are millennial generation employees at one of Honda motorcycle dealers in Jakarta, Indonesia. The number of samples collected was 200. The sampling technique used is the side probability method, with proportional random sampling technique. The research method used is an associative quantitative approach through survey methods and Structural Equation Modeling. Data were collected through questionnaires distributed to millennial generation employees, with results then processed through the Lisrel 8.5 program. The results of this study show, first, that e-training, e-leadership, and work-life balance have positive effect on work motivation. Second, e-training, e-leadership, work-life balance, and work motivation have positive effect on employees' performance. The findings indicate that companies must pay attention to the factors of e-training, e-leadership, and work-life balance to keep employees motivated and to maintain optimal employee performance, especially during the COVID-19 pandemic through working online.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.571-579
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• 2020

This paper examines how human capital and other economic variables, such as private investment, economic growth, government investment, inflation, and unemployment influence inequality in Indonesia's provinces. We apply panel data model with fixed effect estimation for the data of 34 provinces from the period 2013 to 2019. We develop a new index for human capital using the education index approach. The results show that human capital has a negative and significant effect on income inequality. An increase in human capital is related to an increase in knowledge and competence due to the longer average school year and expectations of the school year. Human capital has increased the possibility of a person being accepted into the job market and earning a higher income; hence, it lowers income inequality. We also find that inflation leads to a higher gap of income distribution. A further implication of this situation is that the rise in inflation causes an increase in low-income people, and as a consequence, makes their lives worse off. This paper will be beneficial for policy-makers for whom human capital, which is measured using an education index, is an important factor that significantly affects income inequality, in addition to other economic factors.