THE INFLUENCE OF MANAGEMENT COMPETENCE, EMPLOYEE SALARY ON TURNOVER KEY-USER OF ENTERPRISE RESOURCE PLANNING THROUGH JOB SATISFACTION AND JOB ENGAGEMENT AND ORGANIZATION ENGAGEMENT
| Main Authors: | Basana, Sautma Ronni, Widjaja, Deborah Christine, Tarigan, Zeplin Jiwa Husada |
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| Format: | Proceeding PeerReviewed application/pdf |
| Terbitan: |
, 2012
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| Subjects: | |
| Online Access: |
http://repository.petra.ac.id/16196/1/Publikasi1_04017_991.pdf http://repository.petra.ac.id/16196/ |
Daftar Isi:
- Enterprise Resource Planning is an integrated information system technology and is used by world-class manufacturing in improving company performance. In this research there are three major research questions to answer. Firstly, how the ERP implementation in manufacturing companies in East Java can be carried out not dependent on the personal staff. The second question is how management competence and employee salary will be able to engage employees so that the implementation of ERP technology will have an impact on producing effective key-users (effective managers) for the company. Thirdly, whether the employee engagement and the effectiveness of key-users can bring about employee satisfaction and retain them in the company to actualize their ability in order to increase the competitiveness of the enterprise. Based on preceding literature study, it is indicated that the competence of employees and employee salary will influence job engagement, organization engagement and employee satisfaction which finally reduce employee turnover intention. This research will investigate whether there is influence of management competencies and employee salary on turnover of the key-user of Enterprise Resource Planning through job satisfaction, job engagement and organization engagement on several manufacturing enterprises in East Java. The data collection will be done through interviewing and distributing questionnaires to industry practitioners as well as direct observation on several enterprises in Surabaya, Sidoarjo, Pasuruan, Mojokerto and Gresik. This study will test the hypothesis in order to produce a viable model (fit), in this case the analysis used is Partial Least Square (PLS) with the calculation process is assisted by Smart PLS software application program.