Document Type
Article
Article Version
Publisher's PDF
Publication Date
12-2018
Abstract
Businesses need to analyze labor cost so that they understand what components of businesses affect the amount of resources spent on employees. Interpreting this will help make managerial decisions in adjusting costs of production and develop new strategies regarding investing in workers. Labor cost can vary due to many factors such as employee numbers, assets, liabilities, sales, and debt. In this study, I analyzed labor cost in relation to other firm characteristics, using a large panel data set over thirty years with over 24,000 firm-year observations. I used two different statistical software, R and SPSS and the results are compared. Results show that they both give the same output when running a multivariate regression. Both software are powerful enough to analyze large datasets; however the form of input data and treatment of missing values, matter in determining which one is more efficient. Managers and practitioners can use business analytics with big data to draw conclusions and make important managerial decisions. Future study should include big data analysis using more complex analytical techniques.
Publication Title
International Journal of Business and Applied Social Science (IJBASS)
Repository Citation
Bhattacharya, Mousumi, "Big data analytics of labor cost over thirty years" (2018). Business Faculty Publications. 226.
https://digitalcommons.fairfield.edu/business-facultypubs/226
Published Citation
Bhattacharya, M. (2018). Big data analytics of labor cost over thirty years. International Journal of Business and Applied Social Science (IJBASS), 4(12).
Comments
Copyright 2018 International Journal of Business and Applied Social Science (IJBASS)
The final publisher PDF has been archived here with permission from the copyright holder under a Creative Commons Attribution-Share a like 4.0 International (CC BY 4.0) license.