• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.15-23
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• 2020

Based on the theoretical underpinnings of the agency theory and liquidity theory, the purpose of this study is to show how managers who want to enhance the performance of Pakistan's non-financial sector can use liquidity policy in relation to corporate governance. Nowadays, Pakistan is facing a severe liquidity crisis; this study contributes by examining the mediating role of liquidity on the link of corporate governance-performance. We use data from 63 firms from 2010 to 2018, excluding 17 outliers. To analyze the data, we use the Seemingly Unrelated Regression (SURE) model and nlcom-Stata test. Our findings support the mediating role of liquidity on the link between corporate governance and performance. In addition, the results show that corporate governance improves performance. Furthermore, the study supports a significant positive association of liquidity and performance. For robustness, we use two performance variables - return on assets (ROA) and Tobin's q (TQ) - where ROA represents full mediation and TQ indicates partial mediation. This study helps to use liquidity policy to strengthen the inside and outside dimensions of corporate governance mechanisms that improve the performance of firms. Overall, these findings suggest better disclosure, transparency, and solutions to auditing issues that add value to the firms.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.135-141
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• 2021

The study aims to examine the impact of liquidity and solvency management on the financial performance of Jordanian manufacturing companies listed on the Amman Stock Exchange, for a period of 10 years from 2010 to 2019. The size of the company was used as a control variable. The study employs Return on Assets (ROA) and Earnings Per Share (EPS) to measure financial performance. Current ratio (CR) and total debts to total assets were used as proxies for liquidity and solvency management, while logarithm of total assets was used to measure the size. Correlation and multi regression analyses have been applied to analyze the data. The results show a statistically significant impact of independent and control variables (liquidity and solvency management and the size of the company) on financial performance, while the detailed results of the hypotheses indicate that liquidity has an insignificant reverse impact on financial performance. With respect to other variables, there is a significant positive impact of size on performance and a significant negative impact of solvency on performance. The study suggests in light of results, increasing investments in companies' assets by focusing on internal financing, such that large-sized companies with low leverage will have a good performance.

• International Journal of Quality Innovation
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• 제8권3호
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• pp.11-22
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• 2007

Nowadays, the competitiveness of any organisations rests dominantly on how they can manage their performance, A host of performance variables such as quality, reliability, and efficiency are recognised as competitive priorities. This paper reviews the criteria and dimensions of performance measures, and discusses six core performance indicators in agribusiness operations with particular reference to the poultry/broiler farms. Besides, a holistic "Quality, Reliability and Efficiency" view of performance is proposed when developing measures for poultry agribusiness operations.

• 산경연구논집
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• 제13권5호
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• pp.27-40
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• 2022

Purpose: Research on job crafting has thus far focused on how alter job demand and resources behaviors relate to employee task performance. However, job crafting behaviors do not necessarily have an impact only on task performance, but also on employees' contextual performance, a phenomenon that has little research in job crafting research. Therefore, this study aims to investigate the effect of job crafting on task performance or contextual performance and the mediating effect of work engagement between them in the Chinese context. Research design, data and methodology: In order to achieve the above research goals and test the proposed hypotheses, we used a cross-sectional design and a self-administered questionnaire to collect quantitative data from September 8, 2021 to September 27, 2021 among knowledge workers in Shandong Province various financial companies and finally analyzed 211 questionnaires. Descriptive statistics and research model analysis were performed using SPSS 25.0 Version and AMOS 27.0 Version to test the developed hypotheses. Results: The results are as follows; firstly, the study showed that job crafting of employees had a significant positive impact on task performance and contextual performance. Secondly, the higher job crafting of employees, the higher their work engagement. Thirdly, this study showed that work engagement of employees had a positive impact on task performance and contextual performance. Fourthly, we predicted and found that work engagement of employees had a positive mediating effect between job crafting and task performance and a positive mediating effect between job crafting and contextual performance. Overall, this study showed that the proactive job crafting behaviors of employees enhance their engagement for their work, which in turn improves task performance and contextual performance. Conclusions: This paper develops job crafting research by exploring the positive impact of job crafting on employees' task performance or contextual performance through their work engagement. It also proposes that both job crafting behaviors and work engagement are important approaches to improve employees' task performance or contextual performance. Practical implications for organizations, such as increasing employee' work engagement, as well as the limitations and suggestions are concluded for the future research directions.

• 보건의료산업학회지
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• 제11권1호
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• pp.55-66
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• 2017

Objectives : The aim of this study was to ascertain the effectiveness of job embeddedness and emotional intelligence on the performance of nurses working in medium and small sized hospitals. Methods : Data were collected from 283 nurses at 6 hospitals in G city. Structured questionnaires were used to assess the status of job embeddedness, emotional intelligence and nursing performance. The relationship and effectiveness between the factors were analyzed using multiple regression analysis. Results : The scores of job embeddedness, emotional intelligence and nursing performance were 3.02, 4.50 and 3.56, respectively. It was shown that the sacrifice of job embeddedness, self-motion appraisal, others emotions appraisal and the of regulation of emotion were positively correlated with nursing performance. The fit of job embeddedness, however, was negatively associated with nursing performance. The results showed that the status of job embeddedness and emotional intelligence explained the nursing performance($R^2=35%$). Conclusions : It has been shown that job embeddedness and emotional intelligence are important factors to enhance nursing performance. Activities to promote job embeddedness and emotional intelligence might be needed to enhance nursing performance.

• 산업경영시스템학회지
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• 제28권3호
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• pp.121-132
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• 2005

Nowadays, Information Technology(IT) has become one of the most critical managerial decision areas, because its role in the business practice tends to be more important and hence the amount of the investment in growing. Since there is no dominant and promising measure to evaluate the IT performance, the managements have difficulties on the decision process for IT investment. In this paper, we propose an IT performance evaluation model. The proposed model starts with finding the business performance evaluation areas and the corresponding KPIs, and then concentrates on the IT performance evaluation areas corresponding to the business performance evaluation areas. To extract the specific and reliable KPIs for the IT performance measure, we map the business performance evaluation areas into the corresponding IT performance evaluation areas and then combine and adjust these KPIs with the KPIs obtained from the experiential field interview. Finally, We present the complete model which has 11 business performance indices and 48 IT performance indices are completed.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.439-453
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• 2020

The purpose of this study is to investigate the impacts of business service quality on satisfaction, commitment, performance, and loyalty in higher education. A survey was given to undergraduates involved in business through employment and start-up companies at a private university in Korea. With 252 respondents, this study used exploratory factor analysis and reliability analysis to verify the reliability and validity of measured variables. Multiple regression was employed as a statistical method for the hypotheses of the study. The research questions were: 1) How do education SERVQUAL factors (tangibles, responsiveness, reliability, assurance, and empathy) affect customer satisfaction? 2) How do education SERVQUAL factors affect customer commitment? 3) How does customer satisfaction or commitment affect education performance? 4) How does customer satisfaction, commitment or performance affect their loyalty in higher education? The findings show that most dimensions of business service quality have effects on satisfaction and commitment, and satisfaction and commitment have a positive effect on performance. Additionally, satisfaction, commitment and performance all have an effect on loyalty. This study confirmed the need for the improvement of business service quality in a private university. Additionally, it highlighted the importance of user satisfaction, commitment and performance in order to increase the loyalty level of undergraduate students.

• KIEAE Journal
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• 제15권3호
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• pp.21-28
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• 2015

Purpose: In this study, we analyzed the energy performance levels and high-performance technology trends through the case studies of foreign high-performance buildings. Method: Buildings built within 10 years were selected for the analysis of recent trends. we analyzed the buildings of U.S.A, Germany and Japan using LEED certified buildings, Passive House certified buildings and CASBEE certified buildings database for the case study of foreign high-performance buildings. A total of 20 high-performance buildings including 14 cases in U.S.A, 4 cases in Germany and 4 cases in Japan were selected. Annual energy consumption levels for 20 high-performance buildings were collected with the actual energy consumption data or data from simulation programs officially recognized by DOE. Annual energy consumption were compared with the energy performance standard of the office buildings in the CBECS database, ASHRAE Standard 90.1-2004 and Building Energy Efficiency Rating System in Korea. Result: The order of the green strategies applied in the main categories are Renewable Energy(63%), Indoor Environment Control(51%), Envelope Improvement(44%) and HVAC System & Control(28%). Specified strategies most widely used in the sub-categories are high-performance Insulation (70%), High Efficiency Heating, Cooling Source Equipment(85%), Photovoltaic&Solar Thermal(80%) and Daylighting(80%).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권1호
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• pp.86-109
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• 2019

Cloud computing systems' performance is still a central focus of research for determining optimal resource utilization. Running several existing benchmarks simultaneously serves to acquire performance information from specific cloud system resources. However, the complexity of monitoring the existing performance of computing systems is a challenge requiring an efficient and interactive user directing performance-monitoring system. In this paper, we propose an effective multivariate control framework for monitoring cloud systems performance. The proposed framework utilizes the hardware cloud systems performance metrics, collects and displays the performance measurements in terms of meaningful graphics, stores the graphical information in a database, and provides the data on-demand without requiring a third party software. We present performance metrics in terms of CPU usage, RAM availability, number of cloud active machines, and number of running processes on the selected machines that can be monitored at a high control level by either using a cloud service customer or a cloud service provider. The experimental results show that the proposed framework is reliable, scalable, precise, and thus outperforming its counterparts in the field of monitoring cloud performance.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1248-1253
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• 2009

Although there have been many efforts to reduce accidents on construction sites, such accidents continue to occur. New technologies have recently been developed to improve safety and their performance needs to be evaluated to determine their suitability prior to the application. The assessment for safety performance mainly is conducted depending on qualitative and subjective judgment of supervisors. However, there are rarely proper approaches to assess such qualitative measures. Therefore, we propose a fuzzy-based approach to assessing the performance of a new technology. The assessment of a new technology, called a mobile detector (MD), was carried out as a case study. The output is compared with those by a numerical simulation. As a result, the fuzzy-based performance assessment is shown to be appropriate for this evaluation.