What is CamEd Open Access Repository?
CamEd Open Access Repository (CamEd-OAR) is a centralized digital platform dedicated to preserving and promoting scholarly works produced by the CamEd faculty, students and other members of CamEd’s community.
CamEd-OAR serves as a vital resource for the Cambodian education community and beyond, providing free and open access to a diverse collection of research articles, conference papers, reports and other educational materials.
By making these valuable resources readily available, CamEd-OAR aims to foster a knowledge-sharing culture, encourage collaboration, and facilitate evidence-based decision-making in education.
CamEd-OAR is committed to open access. This commitment aligns with the global movement to democratize knowledge and ensure that research findings are accessible to all free of charge, ultimately contributing to the advancement of education.
Except where otherwise noted, publication materials in CamEd-OAR are licensed under CC BY 4.0
Communities in CamEd-OAR
Select a community to browse its collections.
- CamEd Business Review (ISSN 3007-8768) is an open access professional or executive review published by CamEd Business School. Learn more at https://cam-ed.edu.kh/camed-business-review/
- This section collects and preserves institutional peer-reviewed and non-peer-reviewed research reports produced by or for CamEd.
- This section collects and preserves all the content published in the CamEd proceedings, including the International Research Symposia and ACBSP Conference.
- This section collects and preserves all the content published in the Faculty Publication Forum (FPF).
- JAFESS (ISSN 2708-6178) is a double-blind peer-reviewed, diamond open access scholarly international journal published by CamEd Business School. Learn more at jafess.com
Recent Submissions
Macroeconomic Policies and Economic Growth of Cambodia during the COVID-19 Era
(CamEd Business School, November 30, 2021) Sereyvath Ky; Siphat Lim
The purpose of this research paper is to observe the most impacted sector among the three major contributors, including agricultural, manufacturing and service sectors on Cambodia economic growth. Additionally, the scenario analysis was employed to indicate the negative impact of the global widespread pandemic of Covid-19 on Cambodia economic growth. Responding to the research question, the VAR model which consists of the four endogenous variables, such as the real GDP growth rate, the growth rate of agricultural, the manufacturing and service sectors was run using the quarterly data from 2001:Q1 until 2019:Q4. The empirical result from the VAR model indicated that the industrial or manufacturing sector is the major contributor to Cambodia economic growth while agriculture and service respectively rank number two and three as the sectors influencing Cambodia economic growth. Furthermore, the scenario analysis indicated that in the case that all of the three sectors decrease by 5 percent quarterly for four quarters, Cambodia economic growth is expected to drop around 3.62 percent quarterly. Therefore, to minimize the impact of Covid-19 on Cambodia economic growth, the Royal Government of Cambodia is recommended to form the policy to support domestic manufacturing, especially the SMEs through increasing the regulation on the imported products that Cambodia can produce. The government should provide tax exemption and support to domestic manufacturers. Moreover, the government should provide financial and technical supports to the domestic manufacturers. Finally, the government should facilitate the improvement of the ability of domestic labor by providing vocational trainings..
Keywords: GDP; Covid-19; VAR Model; Scenario Analysis
Accountancy Students’ Familiarity with Accounting Information Systems and Other Technologies Used in the Workplace
(CamEd Business School, November 30, 2021) Juliet Cadungog-Uy
This paper intends to assess the accounting students’ familiarity with the different accounting software and other technologies used in the workplace. The results show that the students are strong in areas related to the use of different office software applications like Microsoft Word, Google Docs, Microsoft Excel, Google Sheets, Microsoft PowerPoint, and Google Presentation. They are also very familiar with two operating systems like Android and IOS and three types of office productivity software like Google Forms, Gmail, and Microsoft OneNote. They are very familiar with Google Meet as a communication and collaboration software and cloud storage like Microsoft OneDrive, Google Drive, and Apple iCloud. They are also using Google, YouTube, Amazon, and Facebook to search for information.
The students however are still not very familiar with accounting information systems and other technologies used in the workplace except with Excel and Microsoft Access where they are a bit familiar with. They are also not familiar with emerging technologies like cloud computing, big data and data analytics, artificial intelligence, Blockchain, and distributed ledgers. This knowledge and skill areas need to be strengthened for them to be better prepared when they join the labor marketplace.
Keywords: accountancy, familiarity, basic technology knowledge, accounting information system.
Customer Satisfaction on Online Shopping in Cambodia
(CamEd Business School, November 30, 2021) Monirul Islam
The rapid growth of Internet use and the continuous advancement of technologies have transformed the way things are bought and sold, resulting in a growing number of online shoppers. This study uses a closed-ended questionnaire to collect data on the major shift that has been predicted in the field of online shopping, as well as the customer’s preference and satisfaction with online shopping. This is a survey study of the people living in Phnom Penh city because they are the customer who frequently purchases products online. This study aims to identify the most important elements that influence customer satisfaction. The survey was conducted among 246 customers to analyze their perception of online shopping. Finding shows that online shopping satisfaction and intention depend on reliability, payment method, product quality, service quality of online stores, speed of delivery, option to return policy, and good customer reviews. This research would be helpful to enhance company’s performances by offering the services that customer prefers.
Keywords: Online Shopping, Customer Satisfaction.
Importance of Math and Difficulties in Learning Perceived by Cambodian Grade 10 and 11 students
(CamEd Business School, November 30, 2021) Mara Mong
Math is an important subject for other fields of sciences and useful for solving real-world problems. But there seems to be a decline in the attention towards this subject, also including Cambodian context. It is necessary explore the causes behind this issue and to promote the learning of this subject. In this paper, the researcher uses a sample from existing data obtained from grade 10 and 11 Cambodian students of public secondary schools in 2019 to analyze students’ perceptions of how they know the importance of Math and perceptions of the obstacles/difficulties in learning the subject using principle component analysis. Findings reveal three components/variables, two of which are obstacle-related, and another is of sources of knowledge of math importance. The analysis of data also includes testing the difference in perceptions of rural-school students and urban-school students over the obstacles/difficulties of learning math and the sources of knowledge of math importance, using Mann-Whitney U test. The results show no different perceptions over the sources of knowledge of math importance but significant difference in perceptions over the obstacles of learning math.
Keywords: Perception, importance of math, learning math, Mann-Whitney U test, principal component analysis, PCA.
Machine Learning and Deep Learning approaches in Network Intrusion Detection
(CamEd Business School, November 30, 2021) Anil K. Makhija
This paper presents multiple hybrid models for Intrusion detection systems (IDS). Some of the proposed models use combination of information-gain based feature selection followed by classification using Random Forests and Naïve Bayes algorithms. Some of the proposed model use combination of expectation-maximization based clustering, information-gain based feature selection and then feed forward neural network with the backpropagation training algorithm. NSL-KDD dataset has been used to train and validate the model and NSL-KDD Test dataset is used to test the accuracy, precision, recall and F1-score of each of the proposed model. Performance of the proposed models is also compared with performance of Random Forests and Naïve Bayes based classification. The experimental results on the model that uses combination of expectation-maximization based clustering, information-gain based feature selection and then feed forward neural network showed promising results on detecting the intrusion when tested on NSL-KDD Test dataset.
Keywords : Network Intrusion Detection Systems, Deep Learning, Artificial Intelligence, NSL-KDD, NIDS, Artificial Intelligence in Network Security