Thesis Abstract

Abstract
The rise of remote work has transformed the traditional workplace dynamics, leading to significant changes in employee engagement and productivity within the field of Human Resource Management. This thesis explores the impact of remote work on these critical aspects of organizational performance. The study delves into the various factors influencing employee engagement and productivity in remote work settings, aiming to provide valuable insights for HR professionals and organizational leaders. Chapter One introduces the research by presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The chapter sets the stage for understanding the complexities of remote work in relation to employee engagement and productivity. Chapter Two conducts a comprehensive literature review that examines existing research on remote work, employee engagement, and productivity. The review synthesizes key findings and identifies gaps in the current knowledge base, providing a theoretical foundation for the study. Chapter Three outlines the research methodology, including the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. This chapter details how the study will be conducted to achieve its objectives effectively. Chapter Four presents a detailed discussion of the research findings, analyzing the impact of remote work on employee engagement and productivity. The chapter explores key themes, trends, and patterns emerging from the data, offering practical implications for HR practitioners and organizational leaders. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications for practice and future research directions. The chapter also reflects on the limitations of the study and provides recommendations for enhancing employee engagement and productivity in remote work environments. Overall, this thesis contributes to the growing body of knowledge on remote work within the context of Human Resource Management. By exploring the impact of remote work on employee engagement and productivity, this study offers valuable insights for organizations seeking to optimize their remote work practices and enhance employee performance in the digital age.

Thesis Overview

The project titled "Exploring the Impact of Remote Work on Employee Engagement and Productivity in Human Resource Management" aims to investigate the effects of remote work on employee engagement and productivity within the field of Human Resource Management. The global workforce landscape has undergone a significant transformation in recent years, with the rise of remote work becoming a prevalent trend in various industries. This shift has been accelerated by advancements in technology, changing employee preferences, and the need for flexible work arrangements. As organizations increasingly adopt remote work policies, it is crucial to understand how this mode of work impacts employee engagement and productivity, which are key determinants of organizational success. Employee engagement refers to the emotional commitment and connection employees have towards their work, organization, and goals. Engaged employees are more motivated, productive, and likely to contribute positively to the overall success of the organization. Productivity, on the other hand, is a measure of the efficiency and output of employees in achieving organizational objectives. Understanding the relationship between remote work, employee engagement, and productivity is essential for HR professionals and organizational leaders to make informed decisions about remote work policies and practices. This research overview will delve into the key objectives, methodology, and expected contributions of the study. By exploring the impact of remote work on employee engagement and productivity, this project seeks to provide valuable insights that can help organizations optimize their remote work strategies and enhance overall workforce performance.