• Title/Summary/Keyword: impact coefficient

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Estimation of spatial parameters to be included in 3D mapping for long-term forest road management

  • Choi, Sung-Min;Kweon, Hyeongkeun;Lee, Joon-Woo
    • Korean Journal of Agricultural Science
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    • v.47 no.4
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    • pp.727-742
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    • 2020
  • Point cloud-based 3D maps can obtain many kinds of information for maintenance work on forest road networks. This study was conducted to compare the importance of each factor to select the factors required for the mapping of 3D forest road maps. This can be used as basic data for attribute information required to maintain forest road networks. The results of this study found that out of a total of 30 indexes extracted for mapping 3D forest roads, a total of 21 indexes related to stakeholder groups were significantly different. The importance of the index required by the civil service group was significantly higher than that of the other groups overall. In the case of the academic group, the index importance for cut slope, fill slope, and drainage facility was significantly higher. On the other hand, the index importance for the forestry cooperative and forest professional engineer group was mostly distributed between the civil servants' group and the academic group. In particular, the type of drainage system showed the highest value among the detailed indexes. Overall, drainage related factors in this survey had high coefficient values. The impact of water on forest roads was the most important part in road maintenance. In addition, the soil texture had a high value in relation to slope stability. This is thought to be because the texture of the soil affects the stability of the slope.

Do Economic Attitudes Drive to Employee Productivity? Lesson from Indonesia

  • HARIYONO, Hariyono
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.1009-1016
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    • 2021
  • Productive human resources are important assets for companies in facing the global economic competition. The purpose of this study is to examine the effect of economic attitudes toward employees' job satisfaction as well as understanding the impact of economic attitudes toward employee productive behavior at "Sentra Tenun Ikat" in East Java. The research method applied in this study is quantitative research with an explanatory design, which is intended to gain a better understanding of the relationship between variables. The population in this study amounted to 394 participants from SMEs and joint business groups. Meanwhile, the sample was 197 people and collected using a proportional random sampling technique. The variable measurement was carried out by a questionnaire distributed to respondents, which consisted of thirty-five closed questions. Each question item provides five alternative answers. Furthermore, it is calculated using Structural Equation Modeling (SEM) undergoing the LISREL 8.80 program. The findings indicated that there was a positive influence of economic attitudes on employees' job satisfaction. Indeed, the positive value coefficient indicates that there is an effect that is directly proportional to economic attitudes toward employees' productive behavior through employee performance satisfaction, namely, the better the economic attitude taken, the higher the productive behavior of employees.

Environmental Damage Theory Applicable to Kenya

  • ONYANGO, James;KIANO, Elvis;SAINA, Ernest
    • Asian Journal of Business Environment
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    • v.11 no.1
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    • pp.39-50
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    • 2021
  • Purpose: This study seeks to establish the environmental damage theory applicable to Kenya. The analysis is based on annual data drawn from World Bank on carbon dioxide emissions (CO2e) and gross domestic product per capita (GDPPC) for Kenya spanning 1963 to 2017. Research Methodology: The study adopts explanatory research design and autoregressive distributed lag model for analysis. Results: The results revealed a coefficient of -0.017 for GDPPC and 0.004 for GDPPC squared indicating that economic growth has negative effect on CO2e in the initial stages of growth but positive effect in the high growth regime with the marginal effect being higher in the initial growth regime. The findings suggest a U-shaped relationship consistent with Brundtland Curve Hypothesis (BCH). Conclusions: The findings emphasize the need for sustainable development path that enables present generations to meet own needs without compromising the capacity of future generations to meet their own. Sustainable development may include, investment in renewable energies like wind, solar and adoption of energy efficient technologies in production and manufacturing. The study concludes that BCH is applicable to Kenya and that developing affordable and effective mechanisms to boost sustainable development implementation is necessary to decrease the anthropogenic impact in the environment without any attendant reduction in the economic growth.

Revisiting the Effect of Financial Elements on Stock Performance Using Corporate Social Responsibility Cost Growth

  • JOUHA, Faraj;ALBAKAY, Khalleefah;GHOZALI, Imam;HARTO, Puji
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.767-780
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    • 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.

The effect of work environment and positive psychological capital on job embeddedness in dental hygienists (치과위생사의 근무환경과 긍정심리자본이 직무착근도에 미치는 영향)

  • Lee, Hyun-Ok;Han, Ye-Seul
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.1
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    • pp.47-54
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    • 2022
  • Objectives: The purpose of this study was to examine the association between work environment and positive psychological capital on job embeddedness in dental hygienists. Methods: Data were collected from 263 dental hygienists in the dental institutions. It was then assessed by mean of descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and a stepwise multiple regression analysis. Results: The impact of work environment was 3.35±0.46 points, positive psychological capital was 3.30±0.40 points, and job embeddedness was 3.34±0.47 points. The result of the stepwise multiple regression analysis indicated that work environment, positive psychological capital and clinical career predicted 45.7% (F=7.35, p<0.001) of job embeddedness. Conclusions: Therefore, it is necessary to improve working environment and to strengthen positive psychological capital in order to increase the degree of work commitment in dental hygienists, and to encourage long-term service.

Effect of Nursing Organizational culture, Organizational Silence, and Organizational Commitment on the Intention of Retention among Nurses: Applying the PROCESS Macro Model 6 (간호사의 재직의도에 대한 간호조직문화, 조직침묵과 조직몰입의 영향: PROCESS Macro model 6 적용)

  • Han, Sujeong
    • Korean Journal of Occupational Health Nursing
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    • v.31 no.1
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    • pp.31-41
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    • 2022
  • Purpose: This study aimed to identify the effects of organizational culture, organizational silence, and organizational commitment on the intention of retention as perceived by nurses Methods: The research model was designed on the basis of the PROCESS Macro model 6 proposed by Hayes. The participants were 142 nurses from general hospitals. Measurements included the scales of organizational culture, organizational silence, organizational commitment, and intention of retentione. Data were analyzed using descriptive statistics, Pearson's correlation coefficient analysis, and Hayes's PROCESS macro method for mediation. Results: Retention intention showed a significantly positive correlation with relationship-orientated culture (r=.32, p<.001), innovation-orientated culture (r=.30, p<.001), and organizational commitment (r=.48, p<.001). However retention intention showed a significantly negative correlation with organizational silence (r=-.42, p<.001). Furthermore, organizational silence and commitment had a mediating effect on the relationship between organizational culture and intention of retention. Conclusion: The impact of organizational culture on intention of retention in general hospitals was mediated by organizational silence and organizational commitment. Considering the mediating effects of organizational silence and organizational commitment on the relationship between nursing organizational culture and retention intention, a strategy should be developed to enhance organizational commitment and weaken organizational silence by strengthening related and innovative nursing culture.

The Effect of Social Capital on Creating Shared Value for Educational Companies

  • HONG, Seung-Hyun;KIM, Seong-Gon
    • The Journal of Industrial Distribution & Business
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    • v.13 no.2
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    • pp.33-43
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    • 2022
  • Purpose: To examine the strength of social capital (SC) that are likely to affect Created share value (CSV) factors. This research aims to conduct a literature review to establish the components of SC and CSV identified within educational research and use factor analysis to identify how numerical values differ from the average and the amount of variance expressed in eigenvalue and factor score. Research design, data and methodology: To achieve the purpose of the study and provide adequate empirical results, we conducted the structural equation analysis using IBM AMOS 24.0 and collect online questionnaires from top practitioners, managers and non-managerial employees in Korean education firms, which will be used to conduct a factor analysis to assess SC's effect on CSV. Results: Final analysis of the path coefficient of the research model indicated that the SC values based on six have a significantly positive (+) effect on CSV values based on three categories (β=.35, p<.001). Therefore, the current research accepts the hypothesis in determining that SC can enhance the impact of CSV in educational companies. Conclusions: From the study, the practitioners of education companies should make more efforts to find action plans to create corporate social responsibility and shared value, which are required throughout society.

Estimation of various amounts of kaolinite on concrete alkali-silica reactions using different machine learning methods

  • Aflatoonian, Moein;Mirhosseini, Ramin Tabatabaei
    • Structural Engineering and Mechanics
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    • v.83 no.1
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    • pp.79-92
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    • 2022
  • In this paper, the impact of a vernacular pozzolanic kaolinite mine on concrete alkali-silica reaction and strength has been evaluated. For making the samples, kaolinite powder with various levels has been used in the quality specification test of aggregates based on the ASTM C1260 standard in order to investigate the effect of kaolinite particles on reducing the reaction of the mortar bars. The compressive strength, X-Ray Diffraction (XRD) and Scanning Electron Microscope (SEM) experiments have been performed on concrete specimens. The obtained results show that addition of kaolinite powder to concrete will cause a pozzolanic reaction and decrease the permeability of concrete samples comparing to the reference concrete specimen. Further, various machine learning methods have been used to predict ASR-induced expansion per different amounts of kaolinite. In the process of modeling methods, optimal method is considered to have the lowest mean square error (MSE) simultaneous to having the highest correlation coefficient (R). Therefore, to evaluate the efficiency of the proposed model, the results of the support vector machine (SVM) method were compared with the decision tree method, regression analysis and neural network algorithm. The results of comparison of forecasting tools showed that support vector machines have outperformed the results of other methods. Therefore, the support vector machine method can be mentioned as an effective approach to predict ASR-induced expansion.

Is nuclear energy a better alternative for mitigating CO2 emissions in BRICS countries? An empirical analysis

  • Hassan, Syed Tauseef;Danish, Danish;khan, Salah-Ud-Din;Baloch, Muhammad Awais;Tarar, Zahid Hassan
    • Nuclear Engineering and Technology
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    • v.52 no.12
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    • pp.2969-2974
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    • 2020
  • Looking at the recent studies, nuclear energy and carbon dioxide (CO2) emissions nexus shows inconclusive result. To further explain nuclear energy-pollution nexuses this study is an attempt to analyze the impact of nuclear energy on pollution reduction for BRICS countries covering data for the period from 1993 to 2017. This study conducts advanced panel techniques such as Continuously-Updated Fully-Modified (CUP-FM) and Continuously-Updated Bias-Corrected (CUP-BC) for long run estimation. Our results support the notion that nuclear energy reduce CO2 emissions. Also, renewable energy corrects environmental pollution in BRICS countries. The magnitude of the coefficient of nuclear energy is less as compared to renewable energy, implying that nuclear is less effective in reducing environmental pollution. The findings offer significant policy understandings and suggestions not only for BRICS economies but for developing countries as well in designing suitable nuclear energy-growth-carbon policies.

The Effects of Pressure Injury Nursing Knowledge and Pressure Injury Nursing Attitude on Pressure Injury Nursing Practices of Nurses in Geriatric Hospitals (노인병원 간호사의 욕창 간호 지식과 욕창 간호 태도가 욕창 간호 수행에 미치는 영향)

  • Kim, Su Ol;Kim, So Myeong
    • Journal of Korean Biological Nursing Science
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    • v.24 no.3
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    • pp.190-199
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    • 2022
  • Purpose: This study investigated the effect of pressure injury nursing knowledge, and pressure injury nursing attitudes, on pressure injury nursing practice. Methods: Participants in this descriptive study were 141 nurses at 20 geriatric hospitals. Data was collected August 24, 2021- April 4, 2022, and analyzed in terms of Independent t-test and one-way ANOVA, Scheffé test, Pearson's correlation coefficient, and multiple regression, using the SPSS/WIN 27.0 program. Results: Pressure injury nursing practice positively correlated with pressure injury nursing attitudes (r= .44, p< .001). Factors influencing pressure injury nursing practice were pressure injury nursing attitudes (β= .43, p< .001), and gender (β= .21, p= .006). The model used in this study explains 22.8% of pressure injury nursing practice (Adjusted R2= 22.8, F= 11.30, p< .001). Conclusion: Results show factors that influence pressure injury nursing practice of nurses in geriatric hospitals. Based on the results, pressure injury nursing practice programs must include factors that improve pressure injury nursing attitudes. A follow-up study to confirm the impact of developing a program for increasing pressure injury nursing practice is also recommended.