• Educational Technology International
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• v.24 no.1
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• pp.53-80
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• 2023

This study investigates faculty support for quality assurance in online education, and offers suggestions for its improvement based on feedback from Instructional Design (ID) staff working at a public university in the U.S. Qualitative research using semi-structured interviews was conducted with seven ID staff in order to examine their perceptions regarding faculty support related to quality assurance in online education. The results of the data analysis indicate that four types of faculty support-quality assurance reviews using Quality Matter (QM) standards, templates, individual consultations with ongoing support, and monitoring-were offered for faculty. Faculty support for quality assurance in online education could be improved by developing specific quality assurance standards, recruiting external experts, examining learning effects, developing a quality assurance management system, and sharing documents among ID staff. This study highlights the necessity of quality assurance in online education and provides cases of faculty support in a real higher education setting.

• Journal of Distribution Science
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• v.20 no.11
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• pp.11-17
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• 2022

Purpose: This article explores the experiences of Research Universities (RU) on distribution-support technologies in commercialisation with a specific focus in the Malaysian context. Research design, data and methodology: A qualitative research was carried out, in which six RU were interviewed. A structured interview was conducted. To analyse and interpret the data was using an approach adopted in qualitative thematic strategy. The findings were transcribed using Atlas.ti software to analyse related themes through a thematic analysis approach to link theories. Results: The findings provide useful insights into the significant roles of distribution-support technologies on the commercialisation strategy and impacts on the ecosystem of innovation and commercialisation in providing the importance of Distribution-support Technologies to strengthen the role of university-industry-community relation to drive the economy towards a high-income nation. Conclusions: This study will contribute theory through commercialisation literature by adding new knowledge concerning the link between universities and distribution-support technologies in commercialisation. Therefore, the practical contributions are significant for universities; industries; research institutes; government and societies to develop and plan strategically for effective, strategic and sustainable distribution-support technologies in innovation and commercialisation ecosystem.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.197-220
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• 2005

This research aims to explore faculty research support systems in university libraries, assess their service performance for faculty research, and suggest the need and roadmap for new service development. We perform in-depth analyses of not only the current university library evaluation criteria as part of the overall university evaluation criteria, but also ten university libraries in the United States and two university libraries in Korea. Thorough benchmarking studies reveal the problems of the current university library evaluation criteria in its advances and limitations of current faculty support service systems. Especially this research suggests to develop a one-stop service execution wheel for the roadmap for the faculty research support system which is based on customer relationship management(CRM) for one-to-one, mass-personalized services to the faculty.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.589-598
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• 2020

The study examines the impact of organizational rewards, procedure justice, and perceived supervisor support on perceived organizational support, and examine the impact of perceived organizational support on affective commitment to the organization in the logistic enterprises as well. Quantitative research is applied to measure relationships by regression analysis with SPSS. The research data was collected by convenient method from 180 employees who work in different departments in the logistics industry. The study results in the model 1 found that organizational rewards, procedure justice, and perceived supervisor support have a positive relationship to the perceived organizational support. The study results in the model 2 also found that perceived organizational support has strong impact on the affective commitment to the organization. The study results contribute to both management theory and management practice. For the management theory aspect, the authors suggest that perceived organizational support should be considered the key antecedent of affective commitment about which researchers should pay more attention as a concept. Based on the research results, the authors also recommend for the management practice that managers should pay attention to the implementation of rewards, procedure justice, and supervisor support to increase the perceived organizational support and affective commitment in the logistic enterprises.

• Safety and Health at Work
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• v.5 no.2
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• pp.97-105
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• 2014

Background: Prolonged standing has been hypothesized as a vital contributor to discomfort and muscle fatigue in the workplace. The objective of this study was to develop a decision support system that could provide systematic analysis and solutions to minimize the discomfort and muscle fatigue associated with prolonged standing. Methods: The integration of object-oriented programming and a Model Oriented Simultaneous Engineering System were used to design the architecture of the decision support system. Results: Validation of the decision support system was carried out in two manufacturing companies. The validation process showed that the decision support system produced reliable results. Conclusion: The decision support system is a reliable advisory tool for providing analysis and solutions to problems related to the discomfort and muscle fatigue associated with prolonged standing. Further testing of the decision support system is suggested before it is used commercially.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.459-467
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• 2020

This paper aimed to study the role of green leadership toward environmental policies support in university. Furthermore, this study investigated the influence of green leadership toward environmental policies support and discussed the mediation effect of Green Self efficacy, Green Mindfulness, organization identity and environmental responsibility. The number of Population sample in this research was taken from 1,456 lecturers and staff of Universitas Negeri Semarang, Indonesia. Total sample in this research is 312 respondents. Structural Equation Models (SEM) was used in this research to develop the model of green leadership role toward environmental policies support of Lecturer and Staff in the University. This study found that green leadership had significant influences toward environmental policies support, environmental responsibility, green mindfulness and green self-efficacy but had insignificant influence toward organizational identity. Path analysis showed strong mediation effect of environmental responsibility and green mindfulness, but had a weak mediation from organizational identity and green self-efficacy. Finally, this study concluded that the role of green leadership in influencing environmental responsibility and green mindfulness was required to be enhanced in order to increase the support of environmental policies at the university. Further study needs to be carried out to determine the effect of green leadership on green performance and green behavior in organizations.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.147-156
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• 2022

The study aims to identify factors that influence university and college students' entrepreneurial intentions in Vietnam's Mekong Delta region. The study examines entrepreneurship mindset, subjective norm, capital sources, concept development assistance, personality qualities, and perceived behavioral control of university support for a student's entrepreneurial aim. The research was conducted according to the quantitative method. The data was collected through an online survey with a sample size of 611 students from 19 universities and colleges in the Mekong Delta region. The methods that test the scale, including Cronbach Alpha Test, Structural Equation Modeling (SEM), are used to consider the correlation between the influence factors. The results of SEM analysis show that there are five main factors affecting students' entrepreneurial intention with decreasing level of influence, including the source of capital, perceived behavioral control, business development support, entrepreneurial attitude, and educational support. Besides, the results indicate that the subjective norm, personality traits, and concept development support have no impact on the intention of students toward entrepreneurship. The research also reveals that the entrepreneurial intention of students at universities and colleges has a positive relationship and is significantly affected by capital source and perceived behavioral control.

• The Journal of Industrial Distribution & Business
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• v.10 no.2
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• pp.25-37
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• 2019

Purpose - The goal of this study is to analyze the differences in education performances between students of the government's financial support program and those who do not receive support at a local university in Korea. Research design, data, and methodology - The questionnaire used was NASEL. NASEL is considered a highly suitable survey tool for professors, courses, and performances in Korean universities. The 290 students who participated and 44 students do not participate in the financial support program were surveyed for 10 days. The characteristics of students were investigated by frequency analysis and technical statistics. The analysis of student collective characteristics used independent t and f-tests,and one-way ANOVA with IBM SPSS Statistics 22.0 for statistical purposes. Results - The p-value of the group receiving financial support and the group without financial support in active-collaborative learning is 0.167. The p-value of the economically supported group and the non-supported group of the faculty-student interaction is 0.281. The confidence coefficient of the active-collaborative learning questionnaire is 0.861. The reliability coefficient of the questionnaire for the faculty-student interaction questionnaire is 0.871. Conclusions - There are no clear differences in active-collaborative learning and faculty-student interaction between participating and non-participating students in the economic program.

• Fourth Industrial Review
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• v.2 no.2
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• pp.47-60
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• 2022

Purpose - The purpose of this study is to investigate the role of Teamwork on Engagement among employees of private primary and secondary schools in Plateau State, Nigeria using the dimensions of Teamwork, which are Communication, Leadership, Team Structure, Situation Monitoring, and Mutual Support on Employee Engagement. Research design, data, and methodology - To analyze the relationship among the variables, the study adopted the descriptive and explanatory research design, and a cross-sectional survey method using a survey questionnaire containing 29 items, with a 5-point Likert scale. The samples of 274 employees (both academic and non-academic) were selected using a simple random probability sampling technique. Multiple Regression was used to analyze data with the aid of the statistical package for social sciences (SPSS version 23.0). Result - This shows that Communication, Leadership, and Situation Monitoring have a positive and significant relationship on Employee Engagement, while Team Structure and Mutual Support show a negative direction but still maintained a significant relationship. Conclusion - The management of private primary and secondary schools should pay attention to Communication, Leadership, Team Structure, Situation Monitoring, and Mutual Support among their employees to promote Employee Engagement in the workplace. It also recommends that future studies should be carried out in other sectors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.153-172
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• 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.