Browsing by Author "Prasadika, A. P. K. J."

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Analyzing Factors that Impact on Performance of Pickers in Third-Party Logistics Warehouses in Sri Lanka
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Prasadika, A. P. K. J.; Wijayanayake, A. N.; Niwunhella, D. H. H.
Order picking is the most crucial and expensive operation in a warehouse which affects customer satisfaction and the profitability of the warehouse. Picker is the employee who is responsible for the order picking process. So, picker performance is very important in improving the overall performance of the warehouse. Therefore, identifying the factors that have an impact on the performance of the pickers is advantageous. The main objective of this research is to identify the relationship between factors that has an impact on picker and picker performance through the Partial Linear Square – Structural Equation Modelling (PLS-SEM) technique using SmartPLS software. Initially, the most important twelve factors were identified by reviewing the past literature and industry experts’ opinions. They were divided into three main categories based on the characteristics and to reduce the complexity of the model which are picker-related factors, management-related factors, and warehouse-related factors. The data analysis was done in two steps to discover direct and moderator relationships, separately. The product type that the pickers handle is the moderator used in this study. The results of the PLS-SEM analysis show that picker-related factors and warehouse-related factors have a significant impact on picker performance at the significance level of 0.05, while management-related factors have a significant effect on picker performance at the significance level of 0.10. Further, the product type moderates all three relationships. The outcomes of the study help the managers of the warehouses to improve the performance of the pickers so that the overall performance of the warehouse can be improved.
Determinants of Employee Engagement in the Post-Pandemic Working-from-Home Contexts: Evidence from the Sri Lankan Software Industry
(Institute of Electrical and Electronics Engineers (IEEE), 2024) Thasipan, Rajagopal; Jayasinghe, Shan; Prasadika, A. P. K. J.; Wijerathna, Sujith Kasun
This study explores the dynamic landscape of employee engagement within the Sri Lankan Software Industry amid the post-pandemic surge in remote work. Recognizing the unique challenges and opportunities of this transition, the study highlights the necessity for a comprehensive comprehension of the factors that impact engagement when conventional workplace structures are not present. Framed within the context of the evolving work-from-home scenario, the study addresses the industry-specific gap in knowledge, contributing both theoretically and practically. Leveraging a comprehensive literature review and insights from industry professionals, the research identifies factors crucial to employee engagement, including employee well-being, small-group collaboration, job safety and security, job satisfaction, social interaction, and the supervisor's role. The hypotheses formulated and tested through a survey of 196 technical employees reveal significant associations between these factors and employee engagement. Notably, employee well-being emerges as a key contributor, with holistic well-being programs deemed essential in remote work settings. The study further explores the mediating role of small-group collaboration and the moderating impact of the supervisor's role, shedding light on the intricate relationships that shape engagement. While emphasizing the positive impact of transparent communication on job safety and security, the research underscores the importance of proactively addressing challenges to boost overall job satisfaction. The findings offer valuable insights for organizations navigating the complexities of remote work, emphasizing the multifaceted strategies required to enhance organizational performance in the evolving work landscape.
DevOps Adoption in Software Development Organizations: A Systematic Literature Review
(Institute of Electrical and Electronics Engineers (IEEE), 2024) Karunarathne, M.A.W.; Wijayanayake, W. M. J. I.; Prasadika, A. P. K. J.
In today's IT industry, where many software development organizations work for increased software quality, and improved customer satisfaction, the traditional approaches to software development and operations are becoming ineffective. To address this, an approach known as DevOps has emerged as a solution. DevOps is a development methodology that closes the gap between development and operations teams emphasizing collaboration, automation, and continuous practices. It provides many important benefits including enhanced software delivery performance and increased team engagement. Even though the concept of DevOps has been discussed for a long time it is still challenging to adopt DevOps in software development organizations and many of them are trying to implement DevOps practices but stuck in middle due to various reasons such as cultural barriers, lack of expertise and organizational silos. Also, DevOps adoption is influenced by factors including culture, automation, and people. Best practices such as continuous integration and continuous deployment can be incorporated in companies for a successful DevOps adoption. Therefore, it is important for companies to have a clear understanding about DevOps and know their readiness for adopting DevOps for successful DevOps implementation. For that, this systematic literature review provides the critical components of DevOps adoption with challenges, best practices, and factors affecting DevOps. Through the findings of this study, organizations can identify the possible challenges they may encounter, understand DevOps best practices, and the key factors affecting DevOps success. This review also contributes to the literature in the area of software development by providing extensive knowledge to researchers to develop frameworks for successful DevOps adoption.