Analyzing Job Satisfaction, Job Performance, and Attrition in International Business Machines Corporation through Python
- Title
- Analyzing Job Satisfaction, Job Performance, and Attrition in International Business Machines Corporation through Python
- Creator
- Salunkhe H.A.; Khanna R.; Yawalkar P.; Birari A.
- Description
- Since workers significantly impact the firm's operation, businesses invest heavily in them. They must deliver better and more excellent performance to compete with the increasing competition. Employee performance is becoming more and more important for business success and staying ahead of the competition, so companies are putting more money into things like training, growth centers, and careers. The target audience was the employees working in International Business Machines Corporation. The data was analyzed through the process of Exploratory Data Analysis using Python. There is a 0.002297 link between Job Satisfaction and Performance Rating, and a 0.002572 correlation between Work Life Balance and Performance Rating. The relationship between work-life balance and job involvement is -0.01462, indicating a negative impact on work-life balance for people who are heavily interested in their occupations. The study would help Human Resources Managers formulate their policies and understand the employees better in the current environment. Here, Job Satisfaction and Performance Rating served as mediators, and the findings show that their influence on Attrition is minimal at this firm. 2024 IEEE.
- Source
- TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Attrition; Employee Performance; Job Involvement; Job Satisfaction Rating; Work-Life Balance
- Coverage
- Salunkhe H.A., Christ University, Bangalore, India; Khanna R., Christ University, Bangalore, India; Yawalkar P., Christ University, Bangalore, India; Birari A., Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038427-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Salunkhe H.A.; Khanna R.; Yawalkar P.; Birari A., “Analyzing Job Satisfaction, Job Performance, and Attrition in International Business Machines Corporation through Python,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19254.