AN HRM SYSTEM FOR SMALL AND MEDIUM ENTERPRISES (SME)S BASED ON CLOUD COMPUTING TECHNOLOGY

Technology has changed our life and the way we work; however, technology has affected several methods of working in Small and Medium Enterprises (SME)s. Human Resource (HR) is one of the core components in businesses, and nowadays most businesses are using technology for daily basis tasks. However, it still is not used all over the world. In Kurdistan Region-Iraq (KRI), most of the SMEs still use the old way of working and follow the paper-based method for their daily basis tasks. According to a survey, more than seventy percent of SMEs in Kurdistan are not using software to manage human resource management tasks. However, some big companies are using HRMS; but even then, there is a lack of use of Cloud Technology. In this study, a model of the Enterprise Human Resource Management System (EHRMS) is proposed and implemented to solve the HR problems in this area using Cloud Technology. The proposed system consists of sixteen standard modules which used usually with famous HRM systems. The system has been developed by using several technologies such as CodeIgniter as a software framework. The system is launched and deployed on Amazon Web Service (AWS) Elastic Compute Cloud (EC2).

[1]  Kitimaporn choochote,et al.  Electronic Human Resource Management (e-HRM) of Hotel Business in Phuket , 2015 .

[2]  Habibollah Haron,et al.  Multi-Level of DNA Encryption Technique Based on DNA Arithmetic and Biological Operations , 2018, 2018 International Conference on Advanced Science and Engineering (ICOASE).

[3]  Munish Saini,et al.  A Review of Open Source Software Development Life Cycle Models , 2014 .

[4]  S. L. Andreeva,et al.  Corporate information system — Element of efficient human resources management of the industrial-economic complex , 2017, 2017 IEEE VI Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations) (SPUE).

[5]  Subhi R. M. Zeebaree,et al.  Design and Analysis of Proposed Remote Controlling Distributed Parallel Computing System Over the Cloud , 2019, 2019 International Conference on Advanced Science and Engineering (ICOASE).

[6]  Karwan Jacksi,et al.  Distributed Cloud Computing and Distributed Parallel Computing: A Review , 2018, 2018 International Conference on Advanced Science and Engineering (ICOASE).

[7]  Lailan M. Haji,et al.  Comparison Among Cloud Technologies and Cloud Performance , 2020 .

[8]  S. Thelijjagoda,et al.  ARROW: A web-based employee turnover analysis tool for effective human resource management in large-scale organizations , 2017, 2017 National Information Technology Conference (NITC).

[9]  Subhi R. M. Zeebaree,et al.  Security Approaches For Integrated Enterprise Systems Performance: A Review , 2019 .

[10]  Subhi R. M. Zeebaree,et al.  Impact analysis of SYN flood DDOS attack on HAPROXY and NLB cluster-base web servers , 2020 .

[11]  Yunlan He,et al.  The Study on the Key Elements in Strategic HRM: from Strategy to Organizational Performance , 2017 .

[12]  Anil Kumar,et al.  Cloud computing: Performance analysis of load balancing algorithms in cloud heterogeneous environment , 2014, 2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence).

[13]  Carla Merkle Westphall,et al.  Customer Security Concerns in Cloud Computing , 2011, ICON 2011.

[14]  Subhi R. M. Zeebaree,et al.  Impact Analysis of HTTP and SYN Flood DDoS Attacks on Apache 2 and IIS 10.0 Web Servers , 2018, 2018 International Conference on Advanced Science and Engineering (ICOASE).

[15]  S. P. Singh,et al.  HR e-Leave Tour Management System at RDCIS, SAIL , 2014, 2014 International Conference on Information Technology.

[16]  O. A. Randle,et al.  Towards a motivational based model for effective use of human resource information system in South African Universities , 2017, 2017 International Conference on Information Society (i-Society).

[17]  S Williams.  The associative model of data , 2001 .

[18]  Azar Abid Salih,et al.  Cloud Computing Virtualization of Resources Allocation for Distributed Systems , 2020 .

[19]  Tang Bin,et al.  J2EE-based human resources s management information system design and implementation , 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

[20]  Omkhar Arasaratnam,et al.  Introduction to Cloud Computing , 2011 .

[21]  Subhi R. M. Zeebaree,et al.  E-Business Requirements For Flexibility And Implementation Enterprise System: A Review , 2019 .

[22]  Li Ma,et al.  The Role of Electronic Human Resource Management in Contemporary Human Resource Management , 2015 .

[23]  S. Camille Peres,et al.  Validation of the System Usability Scale (SUS) , 2013 .