Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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Subject: search.filters.subject.Workplace

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Now showing 1 - 3 of 3
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    PublicationOpen Access
    Leave or remain: intentions of Gen X and Y employees
    (Springer, 2022-06) Weerarathna, R; Walpola, M. D. C. P; Piyasiri, A. D. W. D; Jayamal, I. A. U. M; Wijenayaka, T. H. P. C; Pathirana, G. Y
    This study looks into a predictive model to ascertain the turnover of Generation ‘X’ and ‘Y’ employees. Based on Erving Gofman’s frame analysis theory, three key factors such as the nature of working styles, social values and the personal values have been identifed as infuencing factors. The impact of these factors on workplace behavior in terms of intention to leave or remain with the organization has been tested using responses of 297 employees. The data were collected using a survey questionnaire. Data were analyzed using the Binary Logistic Regression and the Neural Network Analysis to ensure the level of accuracy in Predictive Analysis of Generation X and Y. It was found that diferences in characteristics and behavior between the two Generations lead to a higher turnover rate in Generation ‘Y’ than in Generation ‘X’. Moreover, the researchers predicted data related to retention and intention to leave of the two Generations based on the sample.
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    PublicationOpen Access
    ‘Leave or remain’: intentions of Gen X and Y employees
    (Springerlink, 2022-06-28) Weerarathna, R; Walpola, M. D. C. P; Piyasiri, A. D. W. D; Jayamal, I. A. U. M; Wijenayaka, T. H. P. C; Pathirana, G. Y
    This study looks into a predictive model to ascertain the turnover of Generation ‘X’ and ‘Y’ employees. Based on Erving Gofman’s frame analysis theory, three key factors such as the nature of working styles, social values and the personal values have been identifed as infuencing factors. The impact of these factors on workplace behavior in terms of intention to leave or remain with the organization has been tested using responses of 297 employees. The data were collected using a survey questionnaire. Data were analyzed using the Binary Logistic Regression and the Neural Network Analysis to ensure the level of accuracy in Predictive Analysis of Generation X and Y. It was found that diferences in characteristics and behavior between the two Generations lead to a higher turnover rate in Generation ‘Y’ than in Generation ‘X’. Moreover, the researchers predicted data related to retention and intention to leave of the two Generations based on the sample
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    PublicationEmbargo
    Occupancy Monitoring System for Workplace Washrooms
    (IEEE, 2019-03-28) Godakandage, V. M. P; Kothalawala, K. R. M; Chathumali, E. J. A; Madhubhashana, A. W
    With regard to rapid technological advancements majorly influencing our daily lives, Internet of Things (IoT) has been a topic of broad and current interest in the recent years. The capabilities of IoT can assist in revolutionizing the way people live and work, thereby improving quality of life. With the impact of IoT only continuing to propagate in the future, it can be used as a means of easing our day-to-day struggles. Therefore, with the assistance of IoT along with a few hardware, the proposed system, addresses the displeasing reality of queues and several visits for the washrooms due to them coming forth occupied. Thus, the focus of the intended system is on delivering a pleasant washroom experience for employees in an office environment providing them with an at-desk indication on the occupancy of the washroom cubicles reducing queues and disappointments.