Browsing by Author "Pathirana, G"

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    PublicationOpen Access
    Navigating the Evolving Landscape: A Comprehensive Systematic Literature Review on Generation Z's Expectations for Internal Communication from Leaders to Enhance Employee Productivity
    (SLIIT Business School, 2023-12-14) Kumarasena, N; Rathnayaka, C; Dayawansha, P; Maduranga, S; Pathirana, G; Ehalapitiya, S; Krishan, G; Kulawardena, R
    This systematic literature review delves into the dynamic realm of internal communication between leaders and Generation Z employees, aiming to elucidate the expectations of this emerging workforce and explore strategies to elevate organizational productivity. In an era marked by rapid technological advancements and shifting workplace dynamics, understanding, and adapting to Generation Z's communication preferences becomes imperative for fostering a thriving work environment. This review critically examines existing literature, synthesizes key findings, and proposes insights that leaders can leverage to optimize internal communication practices, ultimately boosting employee productivity in the contemporary workplace.
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    PublicationOpen Access
    Systematic Review: The Role of Data Analytics in Enhancing Academic Performance Classroom interaction, Learning Analytics in Higher Education
    (ICSDB 2024 and SLIIT Business School, 2024-12-10) Sithumini, J.H.C.; Sanjuka, A.N.E.; Ranawaka, P. S.; Hasaranga, H.G. D.; Samarakkody, T.; Pathirana, G
    The field of data analytics has seen substantial growth, particularly within the education sector. With the recent expansion of e-learning due to the COVID-19 pandemic, the ability to make data-driven decisions in education has become more important than ever. This review synthesizes existing research on the role of data analytics in enhancing academic performance and decisionmaking in higher education. The key objectives are to examine the influence of data analytics on student performance, explore learning analytics’ role in institutional decision-making, and assess the effect of data analytics on e-learning systems, particularly during the COVID-19 pandemic.