Research Publications
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Publication Open Access ‘Rhetoric’ and ‘Reality’ of Artificial Intelligence in Apparel Sector in Sri Lanka: Comparative Case Study(ICSDB 2024 and SLIIT Business School, 2024-12-10) Sandatharaka, S.; Neranjani, K.; Gayashan, N.; Himahansika, C.; Liyanage, T.; Jayasuriya, N.; Ehalapitiya, S.Artificial Intelligence (AI) has emerged as a transformational force in today's rapidly changing business environment. The apparel sector in Sri Lanka increasingly embracing AI technologies for the forthcoming adoption of AI technologies within the industry. Referring to evidence from companies that have evolved in Sri Lanka's apparel sector, this study examines the gap between AI’s rhetorical promises and its practical (reality) application. It focuses on workplace perceptions of AI, bridging the gap between theoretical AI concepts and their implementation, the dynamics of integrating AI into organizational processes, future directions, and the reasons behind the adoption of AI technologies by case study organizations. Drawing from qualitative data, the study delves into the perceptions of AI among industry professionals, the integration of AI into organizational processes, and the strategic motivations behind adopting AI technologies. The findings highlight a significant disparity between the high expectations promoted by AI rhetoric and the reality and effectiveness of AI in practice. While AI is often heralded as a tool to enhance efficiency and reduce manual Labor, the reality within the case study organizations reveals a slower, more complex adoption process. This research paper further describes the rhetoric and reality insights of AI in case study organizations while extending the rhetoric institutionalism theory, how organizations develop specific rhetorical strategies when defining the organizational goals and how organizations strategically use symbols like (words and signs) to empower the ability of practicality in the organizationsPublication Embargo ARChem: Augmented Reality Chemistry Lab(IEEE, 2021-12-06) Menikrama, M. R. L. Y; Liyanagunawardhana, C. S; Amarasekara, H. G. D. M. I; Ramasinghe, M. S; Weerasinghe, L; Weerasinghe, IOne of the technologies that has been gaining ground in recent years is Augmented Reality (AR), which allows to insert virtual objects into a real-world view using a device's camera and screen. This form of interaction associated with education can improve teaching and experiencing practical knowledge in schools, especially in more difficult subjects such as Chemistry. This study focused on virtual education by providing a platform for students to follow practical oriented subjects like Chemistry. As a result, a mobile application is created with four main functions that assist students during their learning process of Chemistry using the AR technique. The main functions are, AR with Artificial Intelligence (AI), Chemical equation identification and correction with Image Processing, Chabot with sentiment analysis and text summarization. The application is developed by using Machine Learning, AI with Deep Learning and Mobile Application development technologies. ARChem shows 3D models of flasks with important descriptions with the use and also features a Chabot with text summarization for frequently asked questions.Publication Embargo ARChem: Augmented Reality Chemistry Lab(IEEE, 2021-10-27) Menikrama, M. R. L. Y; Liyanagunawardhana, C. S; Amarasekara, H. G. D. M. I; Ramasinghe, M. S; Weerasinghe, L; Weerasinghe, IOne of the technologies that has been gaining ground in recent years is Augmented Reality (AR), which allows to insert virtual objects into a real-world view using a device's camera and screen. This form of interaction associated with education can improve teaching and experiencing practical knowledge in schools, especially in more difficult subjects such as Chemistry. This study focused on virtual education by providing a platform for students to follow practical oriented subjects like Chemistry. As a result, a mobile application is created with four main functions that assist students during their learning process of Chemistry using the AR technique. The main functions are, AR with Artificial Intelligence (AI), Chemical equation identification and correction with Image Processing, Chabot with sentiment analysis and text summarization. The application is developed by using Machine Learning, AI with Deep Learning and Mobile Application development technologies. ARChem shows 3D models of flasks with important descriptions with the use and also features a Chabot with text summarization for frequently asked questions.