Browsing by Author "Rathnayaka, C"

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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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    PublicationEmbargo
    Sustainable tourism: Application of optimization algorithms to schedule tour plans
    (IEEE, 2019-01-31) Perera, D; Rathnayaka, C; Siriweera, L; Dilan, S; Rankothge, W
    One of the challenging problems in the tourism industry is to maintain the environmental sustainability of the tourists attracted locations while giving a better user experience for the tourists. The proposed platform for sustainable tourism management system consist with following modules: A prediction module to predict an approximate value on tourist arrival for each location, an optimization algorithm module to decide the number of tourists that can be accommodated in each location considering the environmental sustainability, and an optimal path generating module to show the best route to each location. The optimization algorithm module is developed to decide the number of tourists for each location based on two approaches: Genetic Algorithms and Iterated Local Search. Next the optimal path generating module is developed based on traveling salesman problem.In this paper, the performances of the optimization algorithm module and the optimal path generating module is presented. Results show that, using the suggestions given by the algorithms help the tourist to enjoy a better experience in travelling while ensuring the sustainability in the tourism industry.