The main goal of this dissertation is carrying out the research on the role of emotional intelligence on productivity among the software professionals working at the Thiruvananthapuram Techno park campus, Kerala.
Emotional Intelligence plays an important role in domains such as academic performance, job performance, leadership, trust, work-family conflict and stress. Even though many studies including cross-cultural differences are conducted among German (individualistic culture) versus Indian (collectivistic culture) and managerial perspectives on EI differences between India and the United States, no productivity related studies are attempted which covered the knowledge workers. Thus it became pertinent to find out the relationship between emotional intelligence and productivity of Software Professionals of Trivandrum Technopark, Kerala, India.
The most valuable asset of a 21st century institution (whether business or non-business) will be its knowledge workers and their productivity. Since knowledge workers have a greater impact in the economy‘s performance, they are perceived as an important area of opportunity and are starting to be included in organizational strategic plans to improve productivity. Increasing the productivity of knowledge workers provides a prospect for increasing profits by improving the overall process or product instead of simply eliminating costs. In the process of improving productivity, a factor called Emotional Intelligence (EI), a multi-dimensional construct, which includes a precise understanding of the emotion in self and emotional state of others, found to play a critical role.
Table of Contents
I INTRODUCTION AND DESIGN OF THE RESEARCH
II REVIEW OF EXISTING LITERATURE
III EMOTIONAL INTELLIGENCE OVERVIEW
IV PROFILE OF SOFTWARE PROFESSIONALS WORKING IN TRIVANDRUM TECHNOPARK CAMPUS, KERALA
V EMOTIONAL INTELLIGENCE AND PRODUCTIVITY OF SOFTWARE PROFESSIONALS
VI IMPACT OF EMOTIONAL INTELLIGENCE ON PRODUCTIVITY
VII SUMMARY OF FINDINGS AND CONCLUSIONS
Research Objective and Thematic Focus
This thesis examines the role of emotional intelligence (EI) as a multi-dimensional construct in enhancing the productivity of knowledge workers, specifically software professionals within the Trivandrum Technopark Campus in Kerala, India, by exploring the relationship between their emotional intelligence traits and professional performance indicators.
- The influence of demographic and psychographic variables on emotional intelligence.
- Measurement and assessment of emotional intelligence using standard models and tools.
- Impact of emotional intelligence on key productivity dimensions such as efficiency and quality.
- Validation of theoretical frameworks linking emotional intelligence to job performance in a technical work environment.
- Development of models incorporating emotional intelligence for organizational success.
Excerpt from the Book
1.1 INTRODUCTION
The most valuable asset of a 21st century institution (whether business or non-business) will be its knowledge workers and their productivity (Peter F Drucker, 1999). Since knowledge workers have a greater impact in the economy’s performance, they are perceived as an important area of opportunity and are starting to be included in organizational strategic plans to improve productivity (Gordon, 1997; Berglind and Scales, 1987). Increasing the productivity of knowledge workers provides a prospect for increasing profits by improving the overall process or product instead of simply eliminating costs. In the process of improving productivity, a factor called Emotional Intelligence (EI), a multi-dimensional construct, which includes a precise understanding of the emotion in self and emotional state of others, found to play a critical role.
Emotional intelligence, a relatively new offshoot of social intelligence and emotions is a growing behavioural research area and is being highly researched and critically reviewed among the general public and the scientific community. Emotional intelligence also connects with several cutting-edge areas of psychological science, including the neuroscience of emotion, self-regulation theory, studies of meta-cognition and the search for human cognitive abilities beyond ‘traditional ‘academic intelligence. (Zeidner, 2004)
Even though social intelligence (Thorndike; 1921) characterised the importance of emotions, EI was proposed as a concept by Mayer and Salovey in 1990. (Mayer, DiPalolo & Salovey; 1990, Salovey & Mayer; 1990). Currently, Mayer and Salovey propose that Emotional Intelligence involves the ability to perceive accurately, appraise and express emotion; the ability to access and/or generate feelings when they facilitate thought; the ability to understand emotion and emotional knowledge; and the ability to regulate emotions to promote emotional and intellectual growth.
For a concept that up until recently received less attention, EI as an important area of contemporary psychology is difficult to dispute. Thus, EI has been touted as a panacea for modern business and the essential for understanding productivity in knowledge workers. Also developing emotional intelligence within organisation creates an environment that enables the opportunity for social capital (knowledge workers) to develop, thus enhancing organisational performance.
Summary of Chapters
INTRODUCTION AND DESIGN OF THE RESEARCH: This chapter introduces the research topic, defines the problem, establishes the research objectives and hypotheses, and details the methodology used for the study.
REVIEW OF EXISTING LITERATURE: This section provides a comprehensive review of academic and non-academic research concerning emotional intelligence, productivity models, and their association with various dependent variables.
EMOTIONAL INTELLIGENCE OVERVIEW: This chapter offers an overview of emotional intelligence, including its background, core concepts, various models, and its benefits in personal and professional settings.
PROFILE OF SOFTWARE PROFESSIONALS WORKING IN TRIVANDRUM TECHNOPARK CAMPUS, KERALA: This chapter presents the demographic, socio-economic, and psychographic profiles of the software professionals involved in the study.
EMOTIONAL INTELLIGENCE AND PRODUCTIVITY OF SOFTWARE PROFESSIONALS: This section analyzes the emotional intelligence scores of the participants and examines their association with various profile variables.
IMPACT OF EMOTIONAL INTELLIGENCE ON PRODUCTIVITY: This chapter investigates the direct impact of emotional intelligence on the productivity of software professionals through multivariate analysis and regression models.
SUMMARY OF FINDINGS AND CONCLUSIONS: The final chapter summarizes the major findings of the research, offers suggestions for industry interventions, and recommends areas for further investigation.
Keywords
Emotional Intelligence, Software Professionals, Productivity, Trivandrum Technopark, Knowledge Workers, Job Performance, Trait Emotional Intelligence, Ability Models, Organizational Behavior, Human Resource Management, Work-Family Conflict, Stress Management, Psychographic Profile, Demographic Variables, Career Advancement.
Frequently Asked Questions
What is the primary focus of this thesis?
The thesis focuses on examining the role of emotional intelligence in influencing the productivity of software professionals working at the Trivandrum Technopark campus in Kerala.
What are the central themes discussed in the research?
The central themes include the measurement of emotional intelligence, the relationship between EI and job performance, the impact of demographic and psychographic factors on productivity, and organizational behavior strategies for improvement.
What is the main objective of the research?
The primary objective is to collate profile variables, measure EI and productivity, identify correlations between these variables, and construct a model establishing the role of emotional intelligence in boosting productivity among software professionals.
What scientific methodology is utilized in this study?
The research employs a quantitative approach using standard scales such as the Schutte Self Report Emotional Intelligence Test (SSEIT) and the Health & Productivity Questionnaire (HPQ), analyzed via statistical tools including ANOVA, Chi-square, and Multiple Regression Analysis.
What topics are covered in the main body of the work?
The main body covers a literature review on EI and productivity, a detailed profile of the study participants, an analysis of the association between EI and productivity, and an investigation into the impact of trait emotional intelligence on work outcomes.
Which keywords define this research?
Key terms include Emotional Intelligence, Software Professionals, Productivity, Trivandrum Technopark, and organizational performance metrics.
How does the work address the productivity of software engineers specifically?
The research specifically analyzes how emotional intelligence factors—such as regulation of emotion and sharing/experiencing of emotion—serve as significant predictors of productivity, as verified by regression models developed from survey data.
What are the practical implications for IT organizations?
The study suggests that organizations should consider incorporating emotional intelligence training into their HRD policies, as EI has been shown to be a stronger predictor of job success and productivity than technical experience alone.
- Arbeit zitieren
- Sanjay Bhaskaran (Autor:in), 2018, The Role of Emotional Intelligence on Productivity Among the Software Professionals, München, GRIN Verlag, https://www.grin.com/document/505432
