• 유통과학연구
• /
• 제21권4호
• /
• pp.57-67
• /
• 2023

Purpose: This study aims to measuring the employee performance distributions of company in using relationship analysis between motivation, organization learning, compensation, and Organizational commitment. Research design and methodology: The study was conducted on 102 employees as a sample. Data were analyzed using Path Analysis in Structural Equation Modeling (SEM) with PLS. Results: the research result has shown that motivation and compensation have a positive significant effect on organizational commitment. While organizational learning has negative and insignificant effect on organizational commitment. Furthermore, motivation, organizational learning and motivation have no significant effect on employee performance distribution and organizational commitment has a positive significant effect on employee performance distribution. Results for mediating effect has obtained where organizational commitment mediates the effect of motivation and compensation on employee performance distribution, but cannot mediate the effect of organizational learning on employee performance distribution. Conclusion: Organizational commitment in this study can make employees feel comfortable and attached to the company so that employees can perform well to achieve company goals. Motivation and compensation are driving factors in improving employee performance distribution and will achieved if employees have good organizational commitment. In this study, organizational learning is not an important factor in improving employee performance distribution.

• 유통과학연구
• /
• 제22권5호
• /
• pp.27-37
• /
• 2024

Purpose: Evaluating hotel performance is crucial in the tourism industry, and expanding knowledge through value-centric innovation in distribution is approached from the service-dominant logic perspective. This study aims to explore and enhance understanding of efforts to improve hotel performance by introducing a new concept of significant value-centric innovation in distribution. A novel proposition is presented, synthesizing diverse marketing innovations through the lens of service-dominant logic to foster originality. Research Design, Data, and Methodology: Data from 166 respondents across various levels of hotel structural positions in Indonesia were analyzed using SEM-PLS. The relationship between market orientation and hotel performance was explored using the SEM-PLS technique. Results: The findings indicate that market orientation contributes to enhancing hotel performance. Additionally, value-centric innovation in distribution is crucial in addressing inconsistencies observed in previous studies and indicators related to variables significantly affecting hotel performance. Moreover, value-centric innovation in distribution directly improves performance indicators. Conclusions: The practical implication of this research is leveraging market orientation to enhance hotel performance. Hotel owners are encouraged to effectively implement value-centric innovation in distribution by fostering collaboratively generated shared value creation.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권1호
• /
• pp.183-193
• /
• 2020

This study presents a more comprehensive approach to investigate how Emotional Intelligence (EI) is associated with performance. Previous research has revealed that EI is related to positive outcomes such as better performance, life satisfaction and career success. However, in most research of EI, this factor has been investigated independently from the effect of contextual factors and other individual characteristics. This study extended the research on the impact of EI on student performance by simultaneously examining the impact of EI, individual factors - (1) Perseverance of Effort, (2) Goal Consistency and (3) Goal Clarity and learning environment factors - Program Fit in one study. The results based on the data collected from 1,117 students in Vietnam largely support the hypothesis that that EI was an important but not the only factor affecting the student performance. MANOVA and post-hoc analysis indicated that both individual and environmental factors better predicted performance than EI could. These results suggest that the impact of EI on individual performance is more complicated than what we have already known. Future study is encouraged to investigate both the mechanism through which EI impact individual performance and the interaction between EI and other factors that moderate the EI - performance relationship.

• Structural Engineering and Mechanics
• /
• 제35권4호
• /
• pp.535-538
• /
• 2010

• The Journal of Asian Finance, Economics and Business
• /
• 제9권2호
• /
• pp.283-294
• /
• 2022

This holistic research focused on the interactive relationship of different factors with a unique relationship with the dependent variable. The first research objective of the study was to identify the most significant factor that has an impact on Job performance while being mediated. The second objective was to see the moderating effect of gender on the relationship between transformation leadership and innovation on job performance. This research followed a purely quantitative research paradigm with a structured questionnaire to quantify the information collected from 96 respondents for the empirical analysis. For testing the research hypotheses, IBM SPSS version 24 and SmartPLS version 3.2.8 softwares were used to run the structural equation modeling to establish the causal relationship between the study variables. Most of the variables were found with a significant impact on job performance. Further, the hypotheses H³, H⁶, and H¹⁰ were rejected as these contributed insignificant towards the research model. This research was limited to specific educational institutions and businesses, and the timeframe was restrictive. The findings of this research can benefit policymakers and the operational side of various industries. Future research may consider the difference in gender in predicting employee engagement through leadership and innovation.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권1호
• /
• pp.767-780
• /
• 2021

The purpose of this research is to analyze the effect of financial elements (asset growth, liability growth, equity growth, revenue growth, and profit growth) on stock price performance and to analyze the growth of Corporate Social Responsibility (CSR) costs as a moderating effect. The technique analysis used is regression analysis. Samples in this analysis are manufacturing firms listed on the Indonesian Stock Exchange (IDX) for the period 2014-2018. The use of regression models for hypothesis testing must fulfill several applicable assumptions such as Normality Test, Heteroscedasticity Test, Multicollinearity Test, Autocorrelation Test, Model Fit Test, Determination Coefficient Test, and Hypothesis Test. Data analysis used two research models, namely model 1 and model 2. Model 1 is without the moderating variable, and model 2 is with the moderating variable, that is, CSR cost growth. Based on the result of the regression analysis, it can be inferred that the asset, revenue, and profit growth have a positive impact on stock price results. Liabilities and equity growth do not affect stock price performance. Operating expense growth has a significant effect on price performance. CSR cost growth can moderate the effect of growth in financial statement elements on stock price performance but is not significant.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권1호
• /
• pp.153-172
• /
• 2022

In this study, the authors intend to analyze factors contributing to research performance using Backpropagation Neural Network and Support Vector Machine. The analyzing factors contributing to lecturer research performance start from defining the features. The next stage is to collect datasets based on defining features. Then transform the raw dataset into data ready to be processed. After the data is transformed, the next stage is the selection of features. Before the selection of features, the target feature is determined, namely research performance. The selection of features consists of Chi-Square selection (U), and Pearson correlation coefficient (CM). The selection of features produces eight factors contributing to lecturer research performance are Scientific Papers (U: 154.38, CM: 0.79), Number of Citation (U: 95.86, CM: 0.70), Conference (U: 68.67, CM: 0.57), Grade (U: 10.13, CM: 0.29), Grant (U: 35.40, CM: 0.36), IPR (U: 19.81, CM: 0.27), Qualification (U: 2.57, CM: 0.26), and Grant Awardee (U: 2.66, CM: 0.26). To analyze the factors, two data mining classifiers were involved, Backpropagation Neural Networks (BPNN) and Support Vector Machine (SVM). Evaluation of the data mining classifier with an accuracy score for BPNN of 95 percent, and SVM of 92 percent. The essence of this analysis is not to find the highest accuracy score, but rather whether the factors can pass the test phase with the expected results. The findings of this study reveal the factors that have a significant impact on research performance and vice versa.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권7호
• /
• pp.571-578
• /
• 2021

The outbreak of the COVID-19 pandemic, which began in 2020, had a significant impact on the economy and business activities worldwide. Large companies, as well as small businesses were affected, many of them had to scale down or divert their businesses, and some even had to stop. This extraordinary situation requires business people to make innovations and adjustments to survive during a pandemic. Entering the digital era, business players are helped by the ease of internet access, which will make it easier for SME players to get data from their consumers. Business actors can use this data to innovate and create new creations to improve business performance during this pandemic. This research aims to identify how small and medium enterprises can take advantage of Big Data to improve marketing performance through innovation and value creation. The research methodology used the in this research is quantitative method. The respondents are SME producers of food and beverage, with a total of 150 respondents. The results in the study indicate that all the proposed hypotheses are accepted. The most significant influence is found on the relationship of Big Data to value creation. The lowest effect was obtained from the relationship between Big Data and marketing performance through the mediation variable and innovation capability.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권11호
• /
• pp.1069-1075
• /
• 2020

This research is aimed at examining the effect of the implementation of ABAS and BR on GFP with FDM as mediation. Respondent of research is 100 civil servants at the Directorate General of Population and Civil Registration of the Ministry of Home Affairs for the Republic of Indonesia. Data analysis is done with WarpPLS. Result of research shows that the implementation of ABAS has direct and indirect effects on GFP, and the indirect effect involves the mediation of FDM. Other result indicate that the making of proper financial decisions will help improving GFP. The effectiveness of financial decisions are able to mediate the implementation of ABAS in improve GFP. Meanwhile, BR does not affect GFP, either directly or indirectly through FDM. BR seems oriented more toward improving public service and people's welfare. This research suggests that the next research should examine whether the implementation of BR can improve governmental organizational performance in delivering public service. This research has proven that the implementation of ABAS has helped in improving the quality of FDM, while the other benefit is that this system improves GFP. Moreover, this research also gives confirmation that accounting information in good quality will be very useful in FDM.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권4호
• /
• pp.909-916
• /
• 2021

The purpose of the research to analyze SMEs' technological innovation performance in the Special Region of Yogyakarta based on green supply chains. This study's technology innovation performance is influenced by environmental management practices, green supply chain integration, and supply chain knowledge-sharing. This research is important because many SMEs are underdeveloped in terms of technology innovation performance. Technology innovation performance shows that innovation has a multi-dimensional ecological performance in organizations. Therefore, SMEs' sustainable supply chain could be achieved by managing operations, support, and information by focusing on environmental and social issues to maximize the entire chain. This study used primary data. The number of respondents in this study was 200 SMEs that have implemented green supply chain management practices. The data collection method used was a questionnaire. The data analysis technique tool used is a two-step approach to SEM-AMOS. The results of this study indicate that SMEs are willing to implement a green supply chain to increase their performance. The technological innovation performance model of this study is acceptable. The findings of this research suggest that companies must be encouraged to maintain and increase the implementation of green supply chain integration and better supply chain knowledge-sharing with improved technological innovation performance enhancements.