Book Chapters

Permanent URI for this collection https://rda.sliit.lk/handle/123456789/4200

The book chapters authored by SLIIT researchers are included in this collection. Access to full texts may be restricted depending on the access and licensing terms.

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Start date: 2005Subject: search.filters.subject.Employment

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    Designing a Compensation Strategy
    (IGI Global, 2025-01-01) Rajapakshe, W
    This chapter provides a comprehensive analysis of compensation design as a strategic lever for organizational success. It examines strategic compensation planning, highlighting the alignment of pay systems with business objectives to motivate desired behaviors, enhance productivity, and support long- term goals. Factors affecting employee compensation—including internal equity, external competitiveness, performance, skills, experience, and market benchmarks—are explored to inform effective pay decisions. The chapter distinguishes job evaluation from performance appraisal, emphasizing its role in establishing fair, transparent pay structures. Key features and methods of job evaluation—ranking, classification, point- factor, and factor comparison—are discussed, offering practical guidance for designing compensation systems that attract and retain talent, reinforce performance, and sustain competitive advantage in evolving business environments.
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    The Impact of Artificial Intelligence on Modern Hiring
    (IGI Global, 2025-08-07) Rajapakshe, W
    This study explores the transformative impact of AI on talent acquisition, highlighting its evolution within HRM and redefining recruitment in the digital era. It examines AI's integration across key recruitment functions, including resume screening, chatbots, interview scheduling, and predictive analytics for candidate suitability. The research reviews core technologies such as Natural Language Processing (NLP), Machine Learning (ML), Robotic Process Automation (RPA), and facial recognition. While AI enhances efficiency, reduces bias, and supports data-driven decisions, it also introduces ethical and regulatory challenges related to fairness, privacy, and transparency. The study draws upon theoretical models like the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Diffusion of Innovation (DOI) to contextualize AI adoption. Finally, it presents a comparative analysis of global trends and Sri Lanka's local context, offering insights into the factors influencing AI adoption in recruitment and the future of digital HR practices.