Research Publications

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    PublicationOpen Access
    Enhancing Mergers and Acquisitions (M&A) performance: Analyzing the role of human resource practices in Sri Lanka’s telecommunication industry through Lewin’s change management model
    (Public Library of Science, 2025-01-10) Pubodhya S.H.N.; Rajapakshe, W
    This study explores the integration of sexual and reproductive health (SRH) education in Sri Lanka, utilizing the Health Belief Model (HBM) to predict the perceived quality of SRH education among non-state undergraduate students. In many Asian countries, including Sri Lanka, cultural resistance and skepticism often challenge SRH education initiatives. The research is based on a questionnaire survey, examining factors influencing the perceived quality of SRH education, such as cultural norms, embarrassment, attitudes, awareness, and institutional support. In recent years, the Sri Lankan telecom industry has experienced significant expansion and transformation, leading to a notable increase in mergers and acquisitions (M&A). This study investigates the impact of human resource practices on M&A performance, utilizing Lewin’s Change Management Model as a framework. The research is based on a questionnaire survey, examining factors influencing the performance of M&A in Sri Lanka Telecom industry, such as communication (Unfreeze), training (Change), leadership (Refreeze), and performance (M&A outcomes). Structural Equation Modeling (SEM) reveals that communication significantly influences training (β = 0.800), while training has a strong effect on leadership (β = 1.062), both directly and indirectly via communication (β = 0.850). Additionally, performance is positively impacted by training (β = 0.819) and leadership (β = 0.459), with communication exerting a substantial indirect influence on performance (β = 0.655). These results underscore the necessity for an integrated approach that enhances organizational performance and adaptability in an evolving business landscape. To optimize M&A outcomes, organizations are encouraged to prioritize leadership development, invest in comprehensive training programs, and align communication strategies effectively. This research contributes valuable insights into the management of change within the telecom sector, promoting sustainable growth and success in future M&A endeavours.
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    PublicationOpen Access
    Does management support drive sustained agile usage? a serial mediation model and cIPMA perspective
    (Public Library of Science, 2025-02-05) Wijesinghe, U; Mapitiyage, V; Wickramarathne, C; Wickramage, C; Wisenthige, K; Aluthwala, C
    Agile software development is immensely popular in the industry, but most teams struggle to sustain its use. Human factors like management support, agile training, agile mindset, and team resilience are often neglected, hindering long-term success. However, research has not explored their underlying mechanisms in depth. Therefore, this study examines if management support impacts the sustained usage of agile methodologies within software development teams. It subsequently investigates the individual and serial mediating effects of agile training, the agile mindset, and team resilience on this relationship. Additionally, it compares the importance and performance of management support, agile training, the agile mindset, and team resilience in infusing agile practices. Finally, it determines these antecedents’ necessity for the enduring success of agile application. Data collected from 391 agile software development professionals using a structured questionnaire. Partial-least-squares structural equation modelling, importance-performance map analysis and necessary condition analysis were used to investigate relationships. The findings underscore the pivotal role of management support in infusing agile practices. Agile training, mindset, and team resilience emerge as critical mediators, with a strong serial mediation effect. While management support is paramount, its practical implementation falls short within teams. All four antecedents are found to be necessary for optimal agile sustainment. Thus, this study significantly advances theoretical understanding by introducing a serial mediation model that elucidates their mechanisms in impacting agile infusion. It extends prior organisational-level findings to the team-level. The study’s quantitative verification of qualitative findings strengthens their generalisability to a broader spectrum of teams. It pioneers in expounding the constructs’ relative importance, performance and necessity, to offer actionable insights for agile practitioners. Finally, it provides methodological guidance to apply importance performance map analysis and necessary condition analysis in agile software development research. Adult
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    PublicationOpen Access
    Factors affecting job performance of Sri Lankan IT professionals working from home
    (PLOS ONE, 2023-12-12) Jayanandana, N; Jayathilaka, R
    This study investigated the influence of the physical work environment, work life balance, work flexibility, and effective communication on the job performance of IT professionals in Sri Lanka’s IT industry who work from home (WFH). A standard questionnaire was used to collect data from 293 IT specialists in 50 different IT organizations in Sri Lanka, and a stepwise probit model was employed for data analysis. According to the findings, both the physical work environment and work life balance had a significantly positive effect on job performance. A one-unit increase in the physical work environment and work life balance increased the likelihood of high job performance by 0.21% and 0.19%, respectively. In contrast, work flexibility had a negative effect on job performance, with an increase of one unit resulting in a 0.18% decrease in the likelihood of high job performance. The positive impact of effective communication on job performance was less significant. The study emphasises the significance of providing a conducive work environment and promoting work life balance to enhance the job performance of IT professionals in Sri Lanka’s IT industry who WFH.
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    PublicationOpen Access
    Factors influencing the timely completion of construction projects in Sri Lanka
    (Public Library of Science, 2022-12-15) Abeysinghe, N; Jayathilaka, R
    Timely completion is a crucial factor for the success of a construction project, especially in the Sri Lankan context. This study aims to identify the most influential factors that affect the timely completion of construction projects in Sri Lanka. Thirty-nine factors were identified through a comprehensive literature review and experts’ opinions. A questionnaire incorporating the 39 project delay factors was distributed among 163 Civil Engineers, and responses were obtained. Random sampling method was adopted to select the sample. The Relative Importance Index (RII) analysed and ranked the project delay factors. The top ranked significant project delay factors were identified as shortage of skilled subcontractors/suppliers, shortage of labourers (Skilled, semi-skilled, unskilled), financial difficulties of contractors, delay in delivering materials to the site, and Covid-19 pandemic situation. According to the main three respondent types, i.e., clients/owners, contractors and consultants, the contractor related factors was the key group among others that delay a construction project. The scientific value of the study includes assisting the Sri Lankan construction industry to identify the factors affecting the timely completion of construction projects, and developing mitigation methods and strategies. Also, the stakeholders could duly schedule the construction work by identifying areas that need more attention. The contribution of this study would assist stakeholders to adopt a proactive approach by identifying mistakes on their part and minimising potential issues that lead to construction project delays in Sri Lanka. Figures
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    PublicationEmbargo
    Approximate decision making by natural language commands for robots
    (IEEE, 2006-11-06) Watanabe, K; Jayawardena, C; Izumi, K
    Inferring the correct meaning of natural language commands, as judged by the person who issues commands, is mandatory for natural language commanded robotic systems. There have been some successful research on this; but one of the important and related aspects has not been addressed, i.e. the possibility of learning from natural language commands. Since natural language commands are generated by human users, they contain valuable information. Nevertheless, the learning from such commands, as well as the interpretation of them face many challenges due to the inherent subjectiveness of natural languages. In this paper, we propose a decision making process for natural language commanded robots which is influenced by certain characteristics of human decision making process. The proposed concept is demonstrated with an experiment conducted using a robotic manipulator. First, the robot is controlled with natural language commands to perform some pick and place operations during which the robot builds a knowledge base. After learning, the robot is capable of performing approximately similar tasks by making approximate decisions with the gained knowledge. For the decision making a probabilistic neural network is used