SLIIT Business School-Scopus
Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/4895
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Item Embargo Sustainability Insights: Unveiling the Impact of Business Analytics in Shaping Sustainability Practices in the Apparel Industry(2025) Gajanayake, L; Rajapaksha, D; Rukshan, T; Pathirana, S; Thelijjagoda, S; Pathirana, GThe Sri Lankan apparels industry has a strategic importance for the national economy as the country has been one of the main exports and employers. But it has sustainability issues such as high resource consumption, increased pollution, and poor labor standards. As the consumption of sustainable and environmentally responsible clothes continues to rise around the world, such concepts as business analytics (BA) present an opportunity to tackle these issues. This study investigates the effects of BA tools and techniques in enhancing sustainability in Sri Lanka apparel industry with regards to waste reduction, efficient resource management and compliance to ethical standards for sustainable driven global business. A qualitative research design was followed and conventional interviews conducted on key informants from GOTS certified apparel factories. Data were coded and analyzed thematically using MAXQDA software, with reference to the subthemes that emerged in the study, such as waste reduction and increasing efficiency and effective decision-making. It was revealed that BA solutions such as RFID, predictive modelling and dynamic dashboards offered promising improvements to sustainability performance. Techniques like 3D sampling reduced fabric consumption during the generation of prototypes, and dashboard analytics allowed constant tracking of other forms of sustainability KPIs like power use and carbon footprint. They also increased efficiency of cross-functional coordination, integrating sustainability into functions and departments. This study demonstrates how BA enables the sustenance of development within the apparel industry, based on a strategic management of economical, ecological, and social goals. The outcomes would help industry leaders and policymakers in developing improved strategies for sustainability practice to overcome existing gaps between theory and practice and for sustainable and competitive business growth in the context of a world economy moving toward sustainability.Item Embargo Understanding AI Chatbot Adoption in Education: The Role of Perceived Usefulness, Ease of Use, and Anthropomorphic Tendencies(Institute of Electrical and Electronics Engineers Inc., 2025) Vidarshika, W; Dayapathirana, N; Ranasinghe, AThis paper aims to highlight the underlying factors influencing AI-based ChatGPT usage behavior, considering the role of anthropomorphic tendency. It addresses existing gaps in AI literature, which has underexplored the anthropomorphization of nonhuman agents with human features in AI-based teaching and learning. This study extends the Technological Acceptance Model (TAM) integrating anthropomorphism tendency on usage behavior of ChatGPT of undergraduates. Empirical examination with Structural Equation Modeling (SEM) revealed that perception of ease of use and usefulness positively impact on attitudes and attitudes positively impacts on AI ChatGPT usage behavior in higher education. Furthermore, the novelty brings for the study with the anthropomorphism tendency as a moderator positively moderates perception of usefulness and ease of use on AI ChatGPT usage behavior in higher education. As the main theoretical contributions of the study this study contributes for the Technological Acceptance Model (TAM) identifying perceived ease of use and usefulness towards attitude and usage behavior and bringing anthropomorphism tendency for the model as moderator as one of lack of focused area in extant literature in AI based ChatGPT. Also, this study provides valuable insights for the designers of AI based ChatGPT in embedding the humanistic feature in enhancing the usefulness and ease of use towards their attitudes and usage behaviorItem Embargo Transformative Impact of Predictive and Generative AI on Education Workforce in Developing Countries(Institute of Electrical and Electronics Engineers Inc., 2025) Weligodapola, M; Kumarapperuma, C.UThis study investigates the transformative impact of predictive and generative artificial intelligence (AI) on the education workforce in developing countries, focusing on its challenges, opportunities, and implications. Utilizing a qualitative case study approach, we explored the AI's impacts, challenges, and opportunities on work within the education sector in ten educational institutions across three countries, through qualitative data collection methods, including semi-structured interviews, observations, informal discussions, and focus group discussions with students, lecturers, and administrative staff. The findings highlight the role of AI in revolutionizing pedagogy, enhancing student engagement, and optimizing administrative workflows. Educators reported improvements in teaching strategies driven by AI-powered adaptive learning platforms and AI-generated resources, which enable personalized and dynamic learning experiences. However, the research also revealed key challenges, such as resistance to AI adoption, concerns over data privacy, and infrastructure limitations that hinder effective integration. A cross-case analysis emphasized the evolving role of educators, highlighting shifts in teacher-student dynamics and potential increases in job satisfaction, tempered by new responsibilities. While students benefit from personalized learning paths, they also face hurdles related to digital literacy and unequal access to AI-driven resources. Ethical considerations around AI deployment emerged as critical, underscoring the need for clear guidelines and strong policies. The study concludes by offering recommendations for educational institutions, policymakers, and AI developers to collaborate in fostering an innovative, inclusive, and ethically responsible educational landscape. Future research is encouraged to expand on these findings across different educational contexts and explore the long-term effects of AI on teaching, learning, and workforce dynamics.Item Embargo Voice from the Control Room : Government Officials' Perspectives on How Politics, Funding and Technology Shape Sri Lanka's Transport Future(Institute of Electrical and Electronics Engineers Inc., 2025) Bandara, S; Perera, Y; Premathilaka, H; Wijethunga, J; Karunarathna, N; Dayapathirana, NThe daily struggles of Sri Lanka's public transpo rtation system affect millions of lives, yet the voices of those who run it often go unheard. This study spoke with eight senior government officials from the National Transport Commission and Ceylon Government Railways to uncover what happens behind the scenes. Through detailed interviews, three main problems weighing on their minds were identified: political interference disrupts their work, money shortages block necessary improvements, and finally, worker satisfaction has hit rock bottom. Many transport workers feel stuck with low wages and unclear career paths, which makes it hard to keep services running smoothly. However, it is not all about bad news. These officials shared smart ideas about fixing issues, from better resource management to innovative technology implementation that could help riders track their buses and trains. They believe Sri Lanka's public transport can improve with the right changes. This research study goes beyond just listing problems - we talked to people who live these challenges every day and know what needs to change. Their stories show that improving public transport is not just about new buses or trains; it is about supporting the people who keep everything moving, listening to what riders need, and Equipping transport workers with the required equipment to perform their jobs well.Item Open Access How E-commerce Succeeds: The Role of Information Systems in Boosting Customer Satisfaction(Institute of Electrical and Electronics Engineers Inc., 2025) Pathirana, S.L; Pathirana, S.J; Boyagoda, G.S.B; Thalagala, S.M.K; Wisenthige, K; Aluthwala, CThe rapid growth of e-commerce has revolutionized consumer behavior, especially among Millennials and Generation Z, who increasingly rely on online platforms for their purchases. This paper shows the impact of information systems success on individual performance outcomes in e-commerce, focusing on the DeLone and McLean information system success model and its three key dimensions: system quality, information quality, and service quality. A quantitative survey method was employed to gather data from e-commerce users in the western province of Sri Lanka, which is an economically developed region where Millennials and Generation Z are highly engaged with international and local e-commerce platforms. The study uses PLS-SEM to identify that system, information, and service quality significantly increase customer satisfaction and thereby improve individual performance in e-commerce. The study will address the significant research gap in Sri Lanka, where the rapid growth of e-commerce has not been adequately studied in terms of the impact of information and individual outcomesItem Embargo Digital Pathways in Smart Tourism: A Systematic Literature Review on Key Drivers of Travelers' Decision-Making(Institute of Electrical and Electronics Engineers Inc., 2025) Karunaratna, D; Senevirathne, C; Fernando, K; Peksha, P; Jayasinghe, P; Samarakkody, TThis study systematically investigates how digital components including information reliability, accessibility, cost efficiency, virtual reality and mobile adoption influence travelers' preferences in smart tourism. To do this, the study utilizes the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) framework to aggregate evidence from across the globe - showing both regional technology disparities, and a variety of different methodological approaches. In developed countries, technology integration is quite strong while developing regions face constraints of finance and infrastructure. These tech-centric factors are important to traveler decision-making, as indicated by the review; however, greater coverage of understudied regions is needed. The resulting insights provide the basis for targeted and holistic solutions to improve tourism services for the benefit of policymakers, industry practitioners and academics.Item Embargo Determining Factors Related to Artificial Intelligence Adoption Among Sri Lankan ICT Service Providers(Institute of Electrical and Electronics Engineers Inc., 2025) Nizar, Z; Lakshan, J; Wijayarathne, C; Jayasuriya, N; Oshani, W; Rathnapriya, SThis study investigates the factors influencing Artificial Intelligence (AI) adoption among ICT service providers in Sri Lanka, a developing economy where AI integration remains in its early stages. Using the Technology-Organization-Environment (TOE) framework, six key determinants were examined, relative advantage, data quality, top management commitment, employee adaptability, competitive pressure, and external support. Data was collected via a structured questionnaire distributed to 146 ICT service providers, with the sample size determined using G*Power software for statistical robustness. Ordered probit regression was employed to analyze the data, as it offers precise insights for ordinal variables. The findings identify DQ and RA as significant drivers of AI adoption, underscoring the critical role of high-quality data and the operational benefits of AI technologies. However, TMC exhibited a negative impact, highlighting barriers in leadership awareness and alignment with AI strategies. Although CP, ES, and EA were not statistically significant, they demonstrated potential as mediators or moderators in specific contexts. This study bridges a critical gap by providing localized insights into AI adoption challenges and opportunities in Sri Lanka. It emphasizes the importance of data management, leadership commitment, and strategic alignment, offering actionable recommendations for policymakers and industry leaders to enhance competitiveness and digital transformation in the global economy.Item Embargo The Influence of Generative AI on work-life balance among female software professionals in Sri Lanka(Institute of Electrical and Electronics Engineers Inc., 2025) Upeksha, S; Samarasinghe, D.T; Sanochana, M; Samarathunga, S.S; Rajamanthri, L; Samarakkody, T; Aluthwala, CThis study explores the role of generative artificial intelligence on work-life balance among female software professionals in Sri Lanka's software industry. This qualitative study explores the influence of Generative Artificial Intelligence (GenAI) tools on workload, productivity, and overall well-being to show how these technologies uniquely shape professional and personal lives within this demographic group. Data were gathered through semi-structured interviews with 15 female software professionals from various job roles, including software engineers, quality assurance engineers, system engineers, Development and Operations (DevOps) engineers, and project managers. Using thematic analysis, findings disclose that generative AI is mostly utilized for automation, communication and collaboration, creativity and innovation, and decision support, with ChatGPT being the most widely used tool. These tools will enable professionals to streamline the workload, increase efficiency, reduce overtime, and maintain healthy working conditions. The insights of this study yield important implications for employers and government organizations such as the Department of Labor, explicitly pointing out how generative AI can be instrumented to create a favorable work environment. Thus, by applying generative AI solutions, the key stakeholders of the Sri Lankan software industry can create work conditions crucial for the work-life balance of women to enhance organizational performance as well as the work-related well-being of female software professionals.