Recent Submissions
Employee performance management for improved workplace motivation
(IGI Global, 2024-08-24) Rajapakshe, W
In the dynamic landscape of organizational management, the challenge of effectively evaluating and enhancing employee performance stands as a pivotal obstacle to maximizing workplace productivity and motivation. Traditional performance appraisal methods often fall short in providing meaningful insights into employees' contributions and fostering a culture of continuous improvement. This gap between outdated evaluation techniques and the evolving demands of the modern workforce presents a pressing dilemma for Human Resource Management professionals and organizational leaders worldwide. Employee Performance Management for Improved Workplace Motivation emerges as a definitive solution to this critical problem, offering a comprehensive guide to revolutionizing performance management systems. This book meticulously explores the intricacies of performance evaluation, from planning and monitoring to reviewing and rewarding. By integrating theoretical frameworks, practical case studies, and strategic insights, the book equips HR professionals, managers, and scholars with the tools and knowledge needed to implement effective performance management practices that drive employee motivation and organizational success. The book identifies common challenges in performance evaluation and addresses global cultural differences and ethical considerations inherent in the process. By providing actionable strategies and best practices, this book serves as a beacon of guidance for those seeking to optimize performance management systems and cultivate a culture of high performance and engagement within their organizations. Whether utilized in academic research, staff training programs, or executive consultations, this book offers a transformative approach to redefining performance evaluation and enhancing workplace motivation.
Unlocking market secrets: Dynamics of the day-of-the-week effect during crisis in an emerging market
(Emerald Group Publishing Ltd., 2024-06-17) Riyath, M.I.M; Dewasiri, N.J; Sood, K; Banda, Y.K.W; Nair, K
Introduction: By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to investors and policymakers for informed decisions. Purpose: This study investigates the day-of-the-week effect on the Colombo Stock Exchange (CSE), with particular emphasis on the variations in this effect during the COVID-19 pandemic and the subsequent economic crisis. Design/Methodology/Approach: The study applies the Exponential General¬ised Autoregressive Conditional Heteroskedasticity (EGARCH) model, allowing for the evaluation of asymmetric responses to positive and negative shocks. The data span from January 2006 to December 2022 and are segmented into different periods: the entire sample, war and post-war periods, the COVID-19 pandemic and the economic crisis period, each reflecting distinct market conditions. Findings: The study uncovers a significant day-of-the-week effect on the CSE. Mondays and Tuesdays typically show a negative effect, while Thursdays and Fridays display a positive impact. However, this pattern shifts notably during the COVID-19 pandemic, with all weekdays exhibiting significant positive impact, and varies further across different waves of the pandemic. The economic crisis period also shows unique weekday effects, particularly before and after an important political event.
Determinants of dividend policy in the financial sector in sri lanka: A GMM approach
(Emerald Group Publishing Ltd., 2024-05-13) Tharanga, T.M.N; Banda, Y.K.W; Dewasiri, N.J; Peiris, T.U.I
Introduction: Why companies pay dividends and the determinants of dividend policy are considered an unresolved dividend puzzle. To reach a consensus over the puzzle, researchers must investigate the factors affecting dividend policy by incorporating all the determinants into a single research effort. Purpose: We examine the dividend policy determinants of Sri Lankan firms, explicitly focusing on the banking, finance, and insurance (BFI) sectors. Methodology: This study uses the quantitative approach applying the Generalized Method of Moments (GMM) system to examine the dividend policy determinants by obtaining secondary data from 51 listed BFI organisations in Sri Lanka. Findings: The analysis disclosed that the variables of changes in revenues, firm size, liquidity, corporate tax, business risk, and profitability have a positive relationship with dividend yield, whereas investment opportunities, leverage, change in revenues, corporate tax, and firm size impact positively on the propensity to pay dividends in BFI organisations in Sri Lanka. Our findings opine that managers in the BFI industries should prioritise changing their dividend policies by paying close attention to factors, such as dividend yield, changes in revenue, firm size, liquidity, corporate tax ratio, business risk, and profitability because the dividend policy is critical to retaining current investors and luring new ones.
AI Applications for Sustainable Development Goals
(IGI Global, 2024-01-01) Herath, S.K; Sodige, D.S; Kalupahanage, D.P
The emergence of artificial intelligence and the pursuit of sustainable development are two major forces shaping our world, The need to reorient the existing socioeconomic systems towards sustainability has never been more prescient. The United Nation identified ‘Sustainable Development Goals’, more conveniently known as SDGs, in 2015 as a guideline to fashion a new world that is quite equitable, prosperous and environmentally sustainable by the year 2030. AI can be applied to energy systems in enhancing the use of energy resources, in risk assessment and mitigation of natural occurrences, and in creating new clean technologies. Artificial intelligence is influencing many sectors of society and reshaping numerous industries. This chapter will explore specific examples of how AI is being used to address critical challenges related to the SDGs, discuss the potential benefits and limitations, and examine ethical considerations for responsible AI development and deployment in the context of sustainable development.
Integrated-flexible research methodology: An alternative approach
(IGI Global, 2023-03-10) Saliya, C.A
The research process is not a smooth process that moves from one stage to another, or a sequential process growingfrom the roots of ontology and epistemology towards the data collection and analytical techniques and interpretations. The existentialist position of the interpretive / reformist paradigm is that reality is subjective and multiple, that it does not exist independently in the human mind. Their epistemological stance is that the available knowledge depends on the researcher's thoughts and desires. That is, "knowledge" is created by the seeker and deploying a specific methodology which is not necessarily a sequential set of "stages", a "step-by-step" course or a "layer-by-layer" peeling activity like peeling-off an onion.
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The collection comprises the research output of SLIIT staff and postgraduate research students, including research publications, conference and symposium papers, books, book chapters, theses, and other scholarly materials. Access to full texts may be restricted depending on the access and licensing terms.