Research Article
Discovering the Impact of ERP (Enterprise Resource Planning) Adoption toward Employee Performance
@INPROCEEDINGS{10.4108/eai.23-11-2019.2301496, author={Anik Hanifatul Azizah and Rokhman Fauzi and Putra Fajar Alam}, title={Discovering the Impact of ERP (Enterprise Resource Planning) Adoption toward Employee Performance}, proceedings={Proceedings of the First International Conference of Science, Engineering and Technology, ICSET 2019, November 23 2019, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={ICSET}, year={2020}, month={11}, keywords={task technology fit enterprise resource planning pls}, doi={10.4108/eai.23-11-2019.2301496} }- Anik Hanifatul Azizah
Rokhman Fauzi
Putra Fajar Alam
Year: 2020
Discovering the Impact of ERP (Enterprise Resource Planning) Adoption toward Employee Performance
ICSET
EAI
DOI: 10.4108/eai.23-11-2019.2301496
Abstract
Enterprise Resource Planning (ERP) is a concept of planning and managing company resources involve funds, people, time, parts, materials and capacity. ERP has been widely applied in several companies in Indonesia. ERP adoption in Indonesia is based on an efficiency system that can support company performance and capacity. However, ERP implementation is not that easy, failed implementation was a common occur in ERP implementation. Therefore, a dedicated model framework is needed as a reference or guideline in measuring and evaluating the success of ERP implementation. This study uses 156 respondents to fulfill a questionnaire form, from employees and top management who directly use ERP in their company. The purpose of this study is to examine the impact of ERP implementation towards the employee. This study aims to answer whether the implementation of ERP system in State-Owned Enterprise (SOEs) manufacturing sector will impact the employee's performance. The model used to evaluate the impact of ERP system implementation is Task Technology Fit. Task Technology Fit is an invalid construct that has an ability of information technology in order to support the works. The method of this study is using online questionnaire in order to collect the data that is processed by using SmartPLS 2.0. The result of this study shows that there are 8 accepted hypothesis and 4 rejected hypothesis.
