Research Publications

Purpose – This study aims to explore the impact of system quality, information quality, service quality and customer empowerment on customer satisfaction and e-commerce success in Sri Lanka, focusing on Millennials and Generation Z. By integrating the DeLone and McLean Information Systems Success (D&M ISS) model with customer empowerment theory, the research seeks to provide insights into the key drivers of e-customer engagement in e-commerce. Design/methodology/approach – A structured questionnaire was used to collect data from 413 respondents employing the purposive sampling technique. The data collection instrument comprised 32 questions related to system quality, information quality, service quality, customer empowerment and customer satisfaction, as well as demographic questions. The data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Findings – The results revealed that the system quality, information quality and service quality significantly influence customer satisfaction and intention to use the system in the context of e-commerce, which leads to higher customer engagement. Furthermore, the findings substantiate the crucial role that customer empowerment plays in terms of increasing customer satisfaction. Research limitations/implications – This study focuses on Millennials and Generation Z e-customers in Sri Lanka. It provides insights into this demographic, but does not capture the diverse cultural and technological landscape of the entire country. The study examines Information System (IS) dimensions and customer empowerment, excluding other significant variables like overall customer engagement. Self-reported data may introduce biases, and future research with larger sample sizes and different methods could improve the validity. Focusing on four selected online shopping platforms may limit the applicability as the e-commerce landscape is continuously evolving. Practical implications – The findings offer guidance to e-commerce businesses and policymakers to enhance their digital services and customer satisfaction. Businesses can improve their system quality with intuitive designs, offering accurate information to boost engagement and deliver excellent service quality. Initiatives such as interactive tools, loyalty programs and tailored support can empower customers, fostering a stronger impact. Policymakers can support e-commerce growth by improving regulations and providing training programs. These measures contribute to a more efficient and satisfying online shopping experience, driving long-term customer loyalty and business growth. Social implications – The research emphasises the role of customer empowerment in fostering customer engagement, contributing to the growth of the digital economy and enhancing online shopping experiences. Originality/value – This research enhances the academic understanding of e-commerce success by strengthening the DeLone and McLean Information Systems Success model by adding the concept of customer empowerment. This unique improvement is applied in the context of Sri Lanka, an emerging market with its own socio-economic characteristics. This addition provides new insights into key factors affecting e-customer engagement in the e-commerce sector.

Personalization is one of the most sought out and popular methods for brand recognition and consumer attraction. The usage of deep reinforcement learning due to its’ ability to learn actions the way humans learn from experience, if utilized and evaluated properly it can result in a revolutionary effect on personalization. The methodology proposed in this research utilizes deep reinforcement learning where an artificial agent may be trained by interacting with its environment. Utilizing the experience gathered, the agent is able optimize in the form of rewards. The approach explained, can be utilized across applications which can be personalized. Several scenarios ranging from changing the layout of webpages, to rearranging icons on mobile home screens are discussed. The main objective is to develop an API for the web developers and smartphone manufacturers to utilize so that depending on the application personalization can be achieved by enhancing saliency, minimizing selection time, increasing engagement, or an arrangement of these. The technique can manage a variety of adaptations, such as how graphical elements are shown and how they behave. An experiment was conducted which showcased improved user experience considering the position change of the

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