Analysis of Perceived Usefulness and Perceived Ease of Use in Relation to Employee Performance

Authors

  • Elham Abdulwahab Anaam Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia
  • Su Cheng Haw Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia.
  • Naveen Palanichamy Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia.
  • Aziah Ali Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia
  • Syuhaidah Azni Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia

DOI:

https://doi.org/10.15379/ijmst.v10i2.1836

Keywords:

Employee Performance, Perceived Usefulness, Perceived Ease of Use, TAM3, Performance Measurement.

Abstract

The adoption of electronic customer relationship management (E-CRM) is an important consideration for communication and collaboration companies. Several research efforts have focused on studying the success variables that contribute to the effectiveness of E-CRM systems. This study investigates whether enhanced Technology Acceptance Model (TAM) and TAM3 can be used to understand employee adoption of E-CRM. The present study evaluates the scale on two key variables: perceived value and ease of use, are considered the main predictors of acceptability. The results show that perceived usefulness significantly affects 3.83 values out of 5.0, with a confidence interval of 839. Additionally, the employee performance rating is 0.886, which is above the acceptable limit of 0.70. The results indicate that the data fits the extended TAM model effectively. Performance measurement is heavily influenced by perceived ease of use and user satisfaction.

Downloads

Download data is not yet available.

Downloads

Published

2023-09-05

How to Cite

[1]
E. A. . Anaam, S. C. . Haw, N. . Palanichamy, A. . Ali, and S. . Azni, “Analysis of Perceived Usefulness and Perceived Ease of Use in Relation to Employee Performance ”, ijmst, vol. 10, no. 2, pp. 1607-1616, Sep. 2023.

Most read articles by the same author(s)