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This Author published in this journals
All Journal IJIIS: International Journal of Informatics and Information Systems International Journal for Applied Information Management
Simon Wong
Hong Kong Community College, The Hong Kong Polytechnic University, Hong Kong
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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Data Analytics Architectures for E-Commerce Platforms in Cloud John Yeung; Simon Wong; Alvin Tam
International Journal for Applied Information Management Vol. 1 No. 1 (2021): Regular Issue: April 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i1.3

Abstract

Today, organizations not only need to manage larger volumes of data, but also generate insights from existing data. These insights help them understand better about their customers and predict market trends. With this initiative, they can take advantage of the cloud platform to achieve this goal because it manages higher data volume, speed and variation. This cloud platform enables them to provide elasticity and efficient computing and storage resources. They also provide many ready-to-use tools for building data analytics in various stages. Additionally, an on-demand pricing model allows organizations to pay for what they consume. It changes the organizational consumption model from capital expenditure to operational expenditure. It greatly minimizes initial capital investment to build data analytics solutions and implement other innovative ideas. This paper highlights the main reasons for encouraging organizations to build data analytics in the cloud. It also shows how to articulate data analytics frameworks for ecommerce platforms in the cloud and how to integrate machine learning models into data analytics processes, to create more sophisticated analyzes. AWS Amazon Web Services' premier public cloud platform is adopted to demonstrate these concepts and practices with real-life business cases.
Exploring The Influences on Cyber Education in a Bilingual Higher Institution Simon Wong
International Journal of Informatics and Information Systems Vol 1, No 2: December 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i2.100

Abstract

This paper presents the research study which explores the variables influencing the learning effectiveness of the students taking an online introductory information technology course in cyber education in a bilingual higher education institution in Hong Kong. These variables are: (1) student's English proficiency, (2) instructor's guidance in an online discussion forum and (3) peer students' collaboration in an online discussion forum. Correlation analysis was adopted to identify whether any of these variables could be potential factors on the students 'learning performance while multiple regression analysis was performed to explore the combined effect of these variables on the students' learning performance. Validity and reliability of this research study are highlighted in this paper. Finally, the research findings are discussed.
Co-Authors Alvin Tam John Yeung