Browsing by Author "Jayasinghe, Shan"

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Antecedents Of Driving Customer Purchase Intention Via AI Based Customer Engagement Strategies In The Post Pandemic Era
(Institute of Electrical and Electronics Engineers (IEEE), 2024) Hensman, Sheramy; Jayasinghe, Shan; Fernando, Ishenka
This study explores the antecedents that affect customer purchase intention in the post-pandemic era, specifically through AI (Artificial Intelligence) based customer engagement strategies. By analyzing a sample size of at least 147 social media users in Sri Lanka and examining demographic profiles such as age, gender, occupation, and average monthly income, this research addresses a gap in the literature by investigating the positive impact of AI on conversion rate optimization. The study focuses on the factors of brand credibility, customer satisfaction, price sensitivity, brand attitude, and social influence, and their impact on consumer purchase intention in the context of AI-based customer engagement. This research rejects some hypotheses related to brand credibility, price sensitivity, and social influence, and accepts others related to customer satisfaction and brand attitude. It highlights the importance of customer satisfaction and brand attitude in driving consumer purchase intention in the context of AI-based customer engagement. The findings provide valuable insights for businesses and marketers seeking to optimize AI strategies for improved customer engagement and higher conversion rates.
Customer Satisfaction Analysis Based on Delivery Logistics Factors in Sri Lankan E-Commerce
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Damruwan, M.V. Thathsara; Jayasinghe, Shan; Wijayanayaka, W. M. J. I.
The rapid growth of e-commerce in Sri Lanka has resulted in an increase in the number of e- customers and e-retailers. To sustain this growth, e-commerce players must differentiate their offerings and operations to meet the evolving needs of customers, with customer satisfaction being a crucial factor in achieving a competitive advantage. Delivery logistics plays a critical role in ensuring customer satisfaction. A systematic literature review, following the PRISMA framework, identified the most impactful delivery logistics factors on customer satisfaction as delivery time, cost, and quality. Building upon this, the study utilized the mental accounting theory (MAT) to develop a conceptual framework. The objective of this study was to examine the relationship between delivery logistics factors and customer satisfaction and to explore the moderating effect of geographical variations and product categories on this relationship. Data was collected from a sample of 272 respondents living in rural and urban areas, using a structured questionnaire. The data were analyzed using partial least squares structural equation modelling (PLS-SEM). The findings suggest that delivery logistics factors have a positive impact on customer satisfaction and that the geographical location of customers, and the product category moderate this relationship. Specifically, for econsumers from rural areas, delivery cost was found to be a significant predictor of customer satisfaction. Furthermore, delivery logistics factors positively influenced customer satisfaction for shopping and special goods, but not for convenience goods. Overall, this study emphasizes the importance of delivery logistics in e-commerce, particularly in a developing country like Sri Lanka. It provides valuable insights for e-commerce players to enhance their operations and offerings, meet customers' needs, and improve their competitiveness.
Determinants of Employee Engagement in the Post-Pandemic Working-from-Home Contexts: Evidence from the Sri Lankan Software Industry
(Institute of Electrical and Electronics Engineers (IEEE), 2024) Thasipan, Rajagopal; Jayasinghe, Shan; Prasadika, A. P. K. J.; Wijerathna, Sujith Kasun
This study explores the dynamic landscape of employee engagement within the Sri Lankan Software Industry amid the post-pandemic surge in remote work. Recognizing the unique challenges and opportunities of this transition, the study highlights the necessity for a comprehensive comprehension of the factors that impact engagement when conventional workplace structures are not present. Framed within the context of the evolving work-from-home scenario, the study addresses the industry-specific gap in knowledge, contributing both theoretically and practically. Leveraging a comprehensive literature review and insights from industry professionals, the research identifies factors crucial to employee engagement, including employee well-being, small-group collaboration, job safety and security, job satisfaction, social interaction, and the supervisor's role. The hypotheses formulated and tested through a survey of 196 technical employees reveal significant associations between these factors and employee engagement. Notably, employee well-being emerges as a key contributor, with holistic well-being programs deemed essential in remote work settings. The study further explores the mediating role of small-group collaboration and the moderating impact of the supervisor's role, shedding light on the intricate relationships that shape engagement. While emphasizing the positive impact of transparent communication on job safety and security, the research underscores the importance of proactively addressing challenges to boost overall job satisfaction. The findings offer valuable insights for organizations navigating the complexities of remote work, emphasizing the multifaceted strategies required to enhance organizational performance in the evolving work landscape.
Determinants that Drive the Behavioural Intention of Employees in the IT industry to Use CI/CD Framework: A Study based on Sri Lankan IT Companies
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Karunarathna, Chamindu; Jayasinghe, Shan; Wijayanayaka, W. M. J. I.
Continuous Integration and Continuous Delivery (CI/CD) is an Agile-based software development methodology becoming increasingly popular in the software development industry due to its ability to automate the software delivery process, reduce the time to market, and enhance software quality. However, despite the growing interest in CI/CD adoption, many organizations have not achieved full success in implementing and utilizing the CI/CD workflow. To address this gap, this study aimed to identify the factors that drive the behavioural intention of IT employees to use the CI/CD workflow: based on the Sri Lankan context. A systematic literature review using the PRISMA framework identified the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology models as the most widely used and accepted models for understanding technology adoption. Therefore, TAM, UTAUT and past literature were used to develop the conceptual framework. The variables in this research model were measured through questionnaires with nominal and five- point Likert scales and close-ended questions, which were completed by the IT employees in Sri Lanka. Data cleaning and demographic data analysis were conducted using IBM SPSS 21, and preliminary data analysis was performed using PLS-SEM (SmartPLS 4). The study found that Performance expectancy is the most significant factor determining IT employees' behavioural intention to use CI/CD workflow. Therefore, the study concluded that organizations and management should focus more on enhancing employees' performance expectancy to adopt CI/CD workflow successfully.
Drivers of Actual Usage of Building Information Modelling Tools by Civil Engineering Professionals in Construction Industry of Sri Lanka
(Institute of Electrical and Electronics Engineers (IEEE), 2024) Fathima, Fazaal; Jayasinghe, Shan; Prasadika, Jinendri; Wijerathna, Sujith
The construction industry in Sri Lanka is a key driver of the country’s economy, contributing significantly to GDP, employment, and infrastructure development. However, the industry faces challenges due to outdated design methods and antiquated technology, hindering efficient stakeholder communication and collaboration, particularly during crucial stages like design. Cloud-based Building Information Modeling (BIM) emerges as a solution, providing a centralized platform for real-time collaboration. BIM is widely recognized as an industry standard worldwide, but its implementation in Sri Lanka’s construction industry is still in its early stages. This research, guided by the Unified Theory of Acceptance Model and Use of Technology (UTAUT) and Technology Acceptance Model (TAM), explores BIM adoption factors. A systematic literature review was conducted to identify key drivers through a meticulous analysis of 50 studies: Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Social Influence (SI), Facilitating Conditions (FC), and Behavioral Intention (BI). The conceptual framework, based on TAM and UTAUT, was developed. Analyzing data from 131 respondents via PLS-SEM, the study found positive impacts of SI on BI, as well as impacts of BI and FC on Actual Usage (AU). Moreover, the impact of SI, PU, and PEOU on AU was fully mediated by BI. Results of this research underscore BIM’s significance, offering insights for effective adoption in Sri Lanka’s construction projects.
Factors Influencing the Adoption of Agile Project Management Methodologies by Engineering Teams in the Telecommunications Industry
(Institute of Electrical and Electronics Engineers (IEEE), 2024) Dilhara, Thamindu; Jayasinghe, Shan; Fernando, Ishenka
This study explores the dynamic landscape of Sri Lanka’s telecommunications industry, specifically examining the correlation between engineering teams and the adoption of agile project management methodologies. With the industry’s shift towards virtual content, cloud computing, and software-driven systems, it is essential to examine the factors that impact the adoption of agile practices. Through a comprehensive literature analysis, this study identifies and analyzes ten key factors that significantly influence the integration of agile methodologies within engineering teams. Afterwards by obtaining the expert opinions, research conducts a comprehensive data analysis by identifying four key factors: organizational culture, adaptability, communication, problem-solving, and employee engagement. The study surveyed 145 telecommunication engineering teams, incorporating vital demographic characteristics to enhance the validity of its findings. Key insights reveal the critical role of organizational culture in driving agile implementation, with effective problem-solving practices contributing positively. Surprisingly, superior communication exhibits limited direct impact. Interestingly, the moderation effect of employee engagement on the relationship between organizational culture and agile adoption is negative. In contrast, employee engagement significantly influences the relationship between effective problem-solving practices and agile adoption. The study concludes with practical recommendations for creating an agile-friendly environment, investing in adaptabilitytraining, enhancing communication tools, and cultivating effective problem-solving practices. These insights aim to guide the telecommunications industry in Sri Lanka towards agile practices, fostering increased productivity, improved quality, and accelerated time-to-market.
Organizational Characteristics that Drive Better Work-Life Balance in the Post-Pandemic Teleworking Context: Evidence from the IT Sector in Sri Lanka
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Prabagaran, Sathurvanan; Wijayanayake, Janaka; Jayasinghe, Shan
Work-life balance is a motivational factor which causes employees to work in the organization steadily in each situation. This study is aimed to examine the organizational characteristics that impact the work-life balance of teleworkers in the IT industry of Sri Lanka in the post- pandemic era. A thorough systematic literature review using the PRISMA framework was conducted to identify which characteristics which were influence the work-life balance of teleworkers. Identified most appropriate characteristics were shortlisted by the industry expert. The conceptual framework was developed by using this past literature support, and then the actual characteristics were identified through the data analysis process. For this purpose, the questionnaire targeted employees who were working in the IT sector in Sri Lanka. Samples (n=149) were collected through online questionnaires and then collected samples were subjected to preliminary data analysis using the IBM SPSS tool to clean the data. Then the PLS-SEM method was used to find the relationship between the variables. The study found that strategies are the most significant factor to determine a better work-life balance, though management support, technical support, and organizational culture have relationships between them but that are not significant factors to drive better work-life balance in the post-pandemic era. And the study concluded that if organizations need to more focus on strategies, especially job control, and decision-making strategies then they can maintain a better work-life balance for the IT sector employees in Sri Lanka after the pandemic period.