A Study on Soft Skill for Engineers and its Correlation’s with Reference to Engineering Students in Mysore City

Abstract

According to some of the Behavioral scientists when they have conducted a research on some of the most successful executives, they were able to identify that there are some characteristics, which made them to become successful executives. They are – Team player, Quick, Responsive, positive, Brave, Self-confident, Facilitator, Open, Resilient, Good learner, Good Teacher, Creative, Competitive, Imaginative, Fun, Reliable, Motivated, Enthusiastic, Inspirational, Committed, Persuasive, Adaptable, Flexible, Self knowing and Intuitive.Based on the above characteristic features they have grouped and classified them as the following soft skills. They are Employee development / coaching, Customer service, Goal orientation, Planning / Organizing, Diplomacy, personal effectiveness, Negotiation, Persuasion, Empathy, Leadership, Team work, Inter personal skills, Problem solving, Creativity, Information exchange, adaptability, presentation, ongoing learning, prospective thought, decision-making, self-management, and listening, among other skills. Soft skills equip individuals to deal with the persons first and business issues later i.e., secondary. There are about 14 dimensions that have been considered as core dimensions of soft skills. They are- Leadership, Teamwork, Inter personal skills, Problem solving, Creativity, Information exchange, adaptability, presentation, ongoing learning, prospective thought, decision-making, self-management, and listening.The 14 dimensions that have been considered as the core dimensions in evaluating the presence of soft skills are - Leadership, Team work, Inter personal skills, Challenge-solving, creativity, communication, flexibility, presentation, continuous learning, futuristic thinking, decision-making, self-management, and listening are some of the skills that are required. This study involved certain hypothesis formulation covering the various dimensions and testing these hypotheses using appropriate statistical techniques. The data was properly coded and analyzed with SPSS software package tool to establish the relationship between various dimensions, which discriminate between the students from urban and rural backgrounds.