Implementation of Technology Acceptance Model (TAM) In MyHR System

Mochamat Farizal Firmasah Zakaria () and Nur Rahmah Andayani ()
Additional contact information
Mochamat Farizal Firmasah Zakaria: Batam State Polytechnic, Ahmad Yani
Nur Rahmah Andayani: Batam State Polytechnic, Ahmad Yani

A chapter in Proceedings of the Sixth International Conference on Applied Economics and Social Science (ICAESS 2024), 2025, pp 56-67 from Springer

Abstract: Abstract This study aims to investigate the application of the Technology Acceptance Model (TAM) to the MyHR system at PT Infineon Technologies Batam. Through the analysis of Perceived Ease Of Use, Perceived Usefulness, and Attitude Toward Using, this study aims to understand how these factors influence employee acceptance and adoption of the system. The population in this study includes all individuals who use the MyHR system to submit work certificates. The sample of this study was 100 people who were determined using the Slovin formula. Quantitative methods were used to collect data through questionnaires distributed to employees. The results showed that perceived ease and usefulness had a positive impact on the acceptance of the MyHR system, while user attitude did not significantly affect acceptance.

Keywords: Technology Acceptance Model; Human Resources Information System; Certificate of Employment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-640-6_6

Ordering information: This item can be ordered from
http://www.springer.com/9789464636406

DOI: 10.2991/978-94-6463-640-6_6

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().