Economics at your fingertips  

Performance Measurement in Business Management with Information Technologies

Ersoz Taner, Filiz Ersoz () and Merdin Deniz
Additional contact information
Ersoz Taner: Karabuk University, Actuarial and Risk Management Department,Karabuk, Turkey
Merdin Deniz: Industrial Engineering Department, Karabuk University,Karabuk, Turkey

Baltic Journal of Real Estate Economics and Construction Management, 2018, vol. 6, issue 1, 272-284

Abstract: Widespread usage of the internet and computers have facilitated a number of human resource management activities such as compensation management, performance management, vocational training and other personnel management affairs across various enterprises. It is known that the employment of a qualified labour force becomes increasingly difficult due to increasing competition conditions. Therefore, it is important to ensure that the right person is recruited for the enterprise and that he/she is attached to his/her employer. Thanks to information technologies, the recruitment process can be implemented more quickly and effectively. The present study aims at determining whether the employer-employee has a sense of trust; whether employee’s performance, disciplinary action, reporting status and significant inconvenience status are taken into account by an enterprise in the iron and steel industry. Logistic regression method is used as an analysis method. The effects of the demographic variables on the dependent variables are also determined. Considering the results obtained, it is observed that the loyalty of the employees to the employer is not very strong, but at the level of improvement, the employees do not consider working at the company for many years.

Keywords: Employee performance; information technologies; logistic regression analysis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.2478/bjreecm-2018-0020

Access Statistics for this article

Baltic Journal of Real Estate Economics and Construction Management is currently edited by Ineta Geipele

More articles in Baltic Journal of Real Estate Economics and Construction Management from Sciendo
Bibliographic data for series maintained by Peter Golla ().

Page updated 2023-03-26
Handle: RePEc:vrs:bjrecm:v:6:y:2018:i:1:p:272-284:n:20