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Impact of Using Project Management Software towards Project Success in Sri Lankan IT Project-Based Organizations
(NSBM Green University, 2025-10-17) Nisansala, K.D.H.A.; Ranaweera, W.G.P.M.
This paper examines the impact of project management software usage on the success of projects in Sri Lankan IT organizations. Using project management software is critical for ensuring project success in the dynamic environment of IT project-based organizations. This study focuses on key performance challenges such as scope creep, missed deadlines, and budget overruns, which means not driving projects within the triple constraints, and examines how a specific range of software features and ease of use contribute to overcoming these challenges. This study used quantitative data consisting of 139 respondents including project managers and project team members working in the Sri Lankan IT organizations. Correlation and regression analysis were conducted to examine the relationship between the Range of features and Ease of use in project management software toward project success. The findings prove that feature-rich means the range of features in PMS, user friendly software significantly enhances project success or project performance, with 77% of projects succeeding when PMS is used effectively. This study contributes to understanding the effectiveness of using project management software in project management practices and offers insights to organizations that are seeking to optimize their project performance.
The Effect of Green Supply Chain Management Practices on Organizational Performance of Hospitality Industry in Sri Lanka: A Case Study Based on Six Best Five Star Hotels in Sri Lanka
(NSBM Green University, 2025-10-17) Thennakoon, A.K.M.M.P.; Ranaweera, W.G.P.M.
The rapid growth of the hospitality industry has imposed significant environmental costs, including increased waste generation, greenhouse gas emissions, and resource consumption. Consequently, achieving sustainable development without incurring substantial environmental issues is imperative. This study investigates the implementation of green supply chain management practices and evaluates their impact on the organizational performance of Sri Lanka’s hospitality sector. This research was conducted using a case study approach and a qualitative methodology. Data were collected through in-depth interviews with managers from six prominent five-star hotels in Sri Lanka which implement green supply chain management practices. Thematic analysis was used to examine the interview data. Findings reveal a positive relationship between green supply chain management practices and organizational performance. The hospitality industry in Sri Lanka is increasingly committed to sustainability through waste reduction, energy efficiency, and community engagement. The study emphasizes benefits such as enhanced reputation, cost savings, and competitive advantage. It also aligns with key sustainable development goals, including good health and well-being, decent work and economic growth, sustainable cities, and responsible consumption & production. This research offers valuable insights for hospitality professionals, aiming to improve performance and industry standing.
AI Chatbots as Virtual Conversation Partners: Revolutionizing English Language Learning to Enhance Interactive Communicative Proficiency
(NSBM Green University, 2025-10-17) Fernando, W.W.A.P.H.
Chatbots present a unique opportunity to support language acquisition through interactive conversation in a time when digital technologies are increasingly becoming essential to education. This study’s purpose was to investigate the integration of chatbot technology into English language learning and its impact on enhancing student engagement and interactive communication skills of the undergraduates in Sri Lanka. This mixed-methods research involved a convenience sampling of 100 second year undergraduates and 2 ESL lecturers from the Faculty of Computing and Technology, from a state university, aiming to assess how chatbot interactions can enhance communication skills. Data was collected through pre- and post- tests focused on speaking proficiency based on selected academic and professional contexts. Further, qualitative data gathered by distributing a questionnaire on students’ perceptions of chatbot usage in their learning process on their experience with interactive communicative proficiency. The analysis utilized analytical models of several paired SPSS t tests and thematic analysis. Results indicated significant improvements in key speaking factors like vocabulary, speaking level, accent, and stress patterns before and after the intervention of the chatbot system. It could be noted that the students benefited from communicating with the AI chatbot and saw a considerable improvement in their abilities, indicating that the technology could be utilized as an effective and practical learning tool that provides real-time practice and feedback. Further, the study was conducted over a short period, which highlighted a crucial limitation as the capacity to examine the ongoing generality of the developments. As for the recommendations, it can be mentioned that future research can be focused on the differences in the research-design and features of the chatbot for better understanding of enhancements of the target language skills.
Factors Affecting the Migration Intention of IT Undergraduates in Sri Lanka during the Crisis Recovery Period
(NSBM Green University, 2025-10-17) Paranavitharana, S.; Vidanalage, A.K.T.
Sri Lanka’s ongoing economic and political crises have significantly intensified migration intentions among its educated youth, particularly among final-year undergraduates in the Information Technology (IT) sector. This study investigates the primary factors influencing migration intention during the crisis recovery period by applying Lee’s Push-Pull Migration Framework. A structured quantitative survey was administered to a sample of 350 IT undergraduates from both state and non-state universities. The data collected were analysed using statistical methods including correlation, regression, and analysis of variance (ANOVA) through SPSS. The findings indicate that economic and political push factors, such as low wages, unemployment, and perceptions of corruption, are strongly associated with students’ intentions to migrate. In contrast, pull factors related to better income prospects, enhanced quality of life, and political stability in destination countries significantly contribute to the attractiveness of migration. Social push factors were found to exert a comparatively limited influence. The regression model accounted for 79.6 percent of the variance in migration intention, indicating a strong explanatory capacity. These results highlight the need for comprehensive policy reforms in areas such as education, employment, and governance in order to address the root causes of migration and reduce the outflow of skilled human capital. The study offers evidence-based recommendations for policymakers and higher education stakeholders seeking to improve talent retention and support sustainable development in Sri Lanka’s IT sector.
Artificial Intelligence (AI) in Enterprise Resource Planning (ERP) Systems: Systematic Literature Review
(NSBM Green University, 2025-10-17) Gunathilaka, T. A.
Enterprise Resource Planning (ERP) systems are crucial in optimizing business processes by integrating various organizational functions such as finance, supply chain, human resources, and customer relations. Integrating Artificial Intelligence (AI) into ERP systems has revolutionized decision-making, automation, and predictive analytics, enhancing efficiency and strategic planning. This systematic literature review examines the current state of AI applications in ERP systems, By analyzing peer-reviewed articles, industry reports, and case studies, this review identifies trends, gaps, and future research directions in AI-enhanced ERP systems. The findings highlight how AI transforms traditional ERP functionalities into intelligent, adaptive platforms, while also addressing barriers to adoption.