NDLI: A Fuzzy Logic Rule Based Forecasting Model: Work-Life Balance in IT among Software vs. Services Industry on the View of Women Software Engineer

Content Provider	IEEE Xplore Digital Library
Author	Rajagopalan, S. Rajamani, L.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. & Eng., Osmania Univ. Coll. of Eng., Hyderabad, India (Rajamani, L.) \|\| Comput. Sci. & Eng., SCSVMV Univ., Kanchipuram, India (Rajagopalan, S.)
Abstract	For any employee to work, flexi place be those who can function independently and have demonstrated dependability. Nowadays, the causes of employee performance problems are attributable to the work environment, not the employees. The only answer for this would be "Fix the systems in which our employees work!" The purpose of this study is to devise a generic fuzz logic rule based forecasting model specific to employee work-life balance and its effect on attrition and job dissatisfaction. This helps to explore the views of women in IT on issues that pertain to work-life balance among Software vs. Services industry as process and policy differs from organization to organization. This paper is focusing on constructing a generic fuzzy logic rule based forecasting model which will be used later to evaluate the survey data collected from Women IT engineers from Software Vs. Services Industry in Hyderabad. Fuzzy logic offers noteworthy advantages over other methods due to its ability to naturally represent qualitative aspect of work-life balance survey data and apply flexible inference rules thereby we can analyze the cause and effect which helps IT organization can establish right policy and process to deal with it.
Starting Page	241
Ending Page	246
File Size	351069
Page Count	6
File Format	PDF
ISBN	9780769550138
DOI	10.1109/ICMIRA.2013.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Organization Predictive models Programming Forecasting Attrition IT Professionals Fuzzy logic Software Engineering Organizations Retain Work Life balance Software Job dissatisfaction Fuzzy Logic
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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