A Novel Approach for the Recruitment Process in Human Resources Management: Decision Support System Based on Formal Concept Analysis

A Novel Approach for the Recruitment Process in Human Resources Management: Decision Support System Based on Formal Concept Analysis

Mert Bal, Yasemin Bal
Copyright: © 2022 |Pages: 20
DOI: 10.4018/IJDSST.292447
Article PDF Download
Open access articles are freely available for download

Abstract

Discovering and using valuable and meaningful data which is hidden in large databases can have strategic importance in the managerial decision-making process for organizations to gain competitive advantage. With the increasing data flow, it has become more difficult for organizations to store this data and gain useful knowledge to manage their business operations and functions. A knowledge discovery process that is based on data mining methods has widely been used in business operations and management functions. This paper investigates formal concept analysis which is a powerful tool in knowledge representation and discovery and explains association rule mining based on formal concept analysis. An experimental study is given for employee selection function of HRM by using formal concept analysis method to model the qualifications of candidates which are needed for the job position. The qualifications of the candidates are modelled with concept lattices, and the qualifications of the candidates are matched with the ones determined in the job specification.
Article Preview
Top

Introduction

Until the mid-1950s, the institutions could manage all the information they obtained with paper records. Over the past 60 years, more business information and information flows have been computerized among the key business actors in the environment (Laudon & Laudon, 2009). The decade of the 1990s brought an increasing amount of data problems to the world of science, business and government. Our capabilities for collecting and storing of all kinds have far outpaced our abilities to analyze, summarize and extract “knowledge” from this data (Fayyad, 1996). Depending on the increase of data stored in the databases of organizations, traditional statistical methods have become insufficient. Traditional data analysis methods that are basically based on people who directly rely on data are not scaled to deal with large data sets. Together with the increased data flow, it became difficult for organizations to retain this data and to obtain useful information to manage their business activities and functions. This explosive growth in data and databases has urgently needed new techniques and tools to transform processed data into useful information intelligently and automatically (Bal & Bal, 2013). In parallel with the increase in data stored in the databases of organizations in business applications, management information systems have gained more importance. A management information system (MIS) is any system that provides information for management activities carried out within an organization. This information is selected and presented in accordance with management's decision-making and planning and monitoring of the organization's activities. Information systems transform data into information gathered from the internal and external environment of the organization, then maintain, store and transmit information to all management levels to facilitate the strategic decision-making process and support managers in managerial functions such as planning, implementing and controlling functions. Information systems play a vital role in eliminating uncertainty in organizations and ensuring efficiency in decision making (Lieber et al., 2008). Obtaining and analyzing data and processing this data for getting information are crucial for managerial functions of all organizations. In addition, there has been a change in management thinking that recognizes the importance of providing information quickly and effectively targeted to management planning and control (Curtis & Cobham, 2002). For this reason, institutions began to invest in information systems as a way to deal with and manage internal production functions and fulfill the demands of key actors in their environment. Firms invest in information systems for business objectives such as achieving operational excellence (productivity, efficiency, agility), developing new products and services, attaining customer intimacy and service (continuous marketing, sales and service; customization and personalization), improving decision making, achieving competitive advantage and ensuring survival (Laudon & Laudon, 2009).

Complete Article List

Search this Journal:
Reset
Volume 16: 1 Issue (2024)
Volume 15: 2 Issues (2023)
Volume 14: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 13: 4 Issues (2021)
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing