
Rathimala KannanMultimedia University | mmu · Department of Information Technology / Faculty of Management
Rathimala Kannan
PhD
Actively doing research on the applications of machine learning on business data to uncover insights for decision making
About
28
Publications
2,816
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54
Citations
Citations since 2017
Introduction
Additional affiliations
December 2003 - present
Education
July 2006 - June 2013
Publications
Publications (28)
In many retail organisations, transactional Net Promoter Score (tNPS) is used to quantify customer satisfaction. It is also one of the alternative measures used in customer retention strategies and assessing customer loyalty. Customers who are dissatisfied rarely express their dissatisfaction before leaving. This makes customer retention strategies...
Background: Banks and financial institutions are vulnerable to money laundering (ML) as a result of crime proceeds infiltrating banks in the form of significant cash deposits. Improved financial crime compliance processes and systems enable anti-ML (AML) analysts to devote considerable time and effort to case investigation and process quality work,...
In Malaysia, over RM 800 million transactions were processed in one cryptocurrency platform. The central bank of Malaysia has made e-payment one of its top targets to execute a cashless payment system. However, an in-depth analysis of the literature shows a dearth of research focusing on the influencers of cryptocurrency mobile wallet acceptance, e...
Predictive maintenance employing machine learning techniques and big data analytics is a benefit to the industrial business in the Industry 4.0 era. Companies, on the other hand, have difficulties as they move from reactive to predictive manufacturing processes. The purpose of this paper is to demonstrate how data analytics and machine learning app...
Background: Facial expression recognition is a challenging field, evident by the ineffectiveness of current state-of-the-art techniques that aim to classify facial expressions. Despite showing high levels of accuracy, these methods perform poorly in real-life implementation. This poor performance is because the training sets used are usually simple...
Predictive maintenance employing machine learning techniques and big data analytics is a benefit to the industrial business in the Industry 4.0 era. Companies, on the other hand, have difficulties as they move from reactive to predictive manufacturing processes. The purpose of this paper is to demonstrate how data analytics and machine learning app...
The recent surge in the number of commercial open-source software (COSS) companies shows the growing importance of COSS companies in the software industry. As knowledge-based firms, COSS companies’ success depends heavily on the interplay among intangible resources such as human capital, relational capital, structural capital, and software quality....
The COVID-19 pandemic has adversely affected households’ lives in terms of social and economic factors across the world. The Malaysian government has devised a number of stimulus packages to combat the pandemic’s effects. Stimulus packages would be insufficient to alleviate household financial burdens if they did not target those most affected by l...
Background : The Malaysian government reacted to the pandemic’s economic effect with the Prihatin Rakyat Economic Stimulus Package (ESP) to cushion the novel coronavirus 2019 (COVID-19) impact on households. The ESP consists of cash assistance, utility discount, moratorium, Employee Provident Fund (EPF) cash withdrawals, credit guarantee scheme and...
Background: Banks and financial institutions are vulnerable to money laundering (ML) as a result of crime proceeds infiltrating banks in the form of significant cash deposits. Improved financial crime compliance processes and systems enable anti-ML (AML) analysts to devote considerable time and effort to case investigation and process quality work,...
Background : The Malaysian government reacted to the pandemic’s economic effect with the Prihatin Rakyat Economic Stimulus Package (ESP) to cushion the novel coronavirus 2019 (COVID-19) impact on households. The ESP consists of cash assistance, utility discount, moratorium, Employee Provident Fund (EPF) cash withdrawals, credit guarantee scheme and...
Electric utility regulators and policy makers implement incentive-based regulation to improve electric utilities efficiency or to manage the cost of electricity. However, poorly implemented regulation may produce undesired results such as low reliability or poor quality of service. Moreover, the competition within the electricity sector is likely t...
Data analytics is the essential component in deriving insights from data obtained from multiple sources. It represents the technology, methods and techniques used to obtain insights from massive datasets. As data increases, companies are looking for ways to gain relevant business insights underneath layers of data and information, to help them bett...
Commercial Open Source Software (COSS) is a promising business model as it represents the middle ground between expensive proprietary software and free software. The unique nature of COSS companies has captured researchers' attention; hence several studies have been conducted to assess the success of a few prominent COSS companies. However, compreh...
Despite the fact the government agencies and healthcare organizations make numerous efforts to prevent and control dengue epidemic, still it is a challenge. Lack of citizen's awareness of the infectious disease is one of the reasons that hampers their effectiveness. The need to reexamine and understand how the public at large view the dengue monito...
With the emerging of social media as a platform of interaction, users are now connected with all around the world. This connection enhances dissemination of information from users. Examples of social platforms which are highly used among users are Facebook and Twitter. Recently WHO stated that dengue is currently rising among the countries in the W...
Hyperlinks, which connect web pages on the World Wide Web, are rich sources of hidden information. E-Commerce Websites, which are created for different purposes from online sales to company promotion, would benefit if they receive more links from other websites as this would lead to increase the traffic to these websites. This paper analyses the st...
Information navigation structure is an important aspect of Web design in both business and informational Websites. For an e-commerce Website facilitating the buyers to navigate successfully is the key to keep up the sales. Poor navigation structure creates challenges to shoppers in finding what they want and results in losing the customer. In order...
Hyperlink analysis, an emerging research area in web structure mining, extracts hidden information from hyperlink data. This study analyses the websites of USA's best 50 small companies to determine the association between the Webometrics data and business performance measures as well as traffic ranking. The results show that there is an associatio...
Projects
Project (1)
How social media can be used as a tool to improve public healthcare