SLIIT Conference and Symposium Proceedings

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Open Access
A Critical Literature Review on Nexus of Bullying and the Whisperings of Turnover Intentions in Sri Lanka's Higher Educational Sphere
(ICSDB 2024 and SLIIT Business School, 2024-12-10) Kevitiyagala, L.; Joshep, K.; Rajapaksha, S.; Illangamatilake, K.; Jayasinghe, P.; Rathnayake, N.
Workplace bullying is defined as repeated mistreatments and harassment aimed towards an organisational member by other individuals or groups within a workplace context. It remains a critical concern across the globe in various industries negatively impacting the employees’ wellbeing and organisations’ reputation to date. This critical literature review delves into the definite context of academics in the higher education sector in Sri Lanka to explore the relationship between workplace bullying and turnover intentions. This critical literature review examines the theoretical framework, methodological strategies, and empirical data to shed light on the complex relationship between workplace bullying and turnover intentions among academics in the higher education sector of Sri Lanka. By directing attention to these dual aims, this study pursues to understand the underlying mechanisms that link workplace bullying to turnover intentions. This proposed study also explores the moderating role of leadership styles on the relationship between workplace bullying and turnover intentions. The thorough evaluation of methodological strategies captures the complexities of workplace bullying experiences and the implications in the existing research studies. This critical literature contributes to further enhancing the existing literature on workplace bullying and turnover intentions by providing insights into its prevalence and influence within academics in the higher education sector of Sri Lanka. Furthermore, highlights the importance of preventing workplace bullying and creating a supportive work environment in higher education
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A Mobile Application to Predict and Manage High Blood Pressure and Personalized Recommendations
(2019 1st International Conference on Advancements in Computing (ICAC), SLIIT, 2019-12-05) Rajapaksha, S.; Abhayarathne, W.J.A.; Kumari, S.G.K.; De Silva, M.V.L.U.; Wijesuriya, W.M.S.M.
The purpose of this investigation is to present a mobile application using AI expert and how to predict and manage high blood pressure and provide personalized recommendations to lower it. Basically, the system interprets the inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to the diversity of food components and a large number of dietary sources, it is challenging to perform a real-time selection of diet patterns that must fulfill one’s nutrition needs and with considering your health issues and diseases. In this research, to address this issue to present an android based system, called Smart Blood Pressure Recommendation app. The purpose of this system is to allow patients to have an easy way to monitor their health and to see how their blood pressure has changed over time. This offer advice or suggestions, without having to schedule an appointment. As the system continues to gather data from a patient, it begins to offer advice its own if it finds that the patient’s current conditions fit a certain condition or pattern. To generate a recommendation, it refers to an Ontology based data model. The data model gains information about its knowledge by doctors and nutritionists that can be used by AI expert. This research helps users to identify their previous record charts of blood pressure, reliable alarms for user blood pressure medication, popup notifications, build health

SLIIT Conference and Symposium Proceedings

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