IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Evaluating the Learnability of ERP Software in Universities

Evaluating the Learnability of ERP Software in Universities
View Sample PDF
Author(s): Masese Bogomba Nelson (Kabarak University, Kenya)
Copyright: 2020
Pages: 35
Source title: Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software
Source Author(s)/Editor(s): Geoffrey Muchiri Muketha (Murang'a University of Technology, Kenya)and Elyjoy Muthoni Micheni (Technical University of Kenya, Kenya)
DOI: 10.4018/978-1-5225-7678-5.ch009

Purchase

View Evaluating the Learnability of ERP Software in Universities on the publisher's website for pricing and purchasing information.

Abstract

The technological innovation depends on learnability of the software used in terms of user interface design, program complexity of products that match the end user requirements, program complexity deals with commands used in the given ERP software, and training needs so that the ERP user can learn all required features and commands. Learnability signifies how quickly and comfortably a new user can begin efficient and error-free interaction. The main purpose of this chapter is to evaluate software learnability and performance of ERP software. Primary data was collected using survey through the use of questionnaires. Purposive sampling was used to collect data. The collected data focused on the software complexity, user interfaces analysis, ERP performance, challenges, efficiency, and training needs of ERP. Data analysis was done by inferential and descriptive statistics. The results indicated that there exists a positive and statistically significant relationship between the variables used.

Related Content

Majdi Abdellatief Mohammed, Amir Mohamed Talib, Ibrahim Ahmed Al-Baltah. © 2020. 27 pages.
Stephen Makau Mutua, Raphael Angulu. © 2020. 25 pages.
Elyjoy Muthoni Micheni, Geoffrey Muchiri Muketha, Evance Ogolla Onyango. © 2020. 31 pages.
Ramgopal Kashyap. © 2020. 35 pages.
Julius Nyerere Odhiambo, Elyjoy Muthoni Micheni, Benard Muma. © 2020. 21 pages.
Stella Nafula Khaemba. © 2020. 16 pages.
Amos Chege Kirongo, Guyo Sarr Huka. © 2020. 14 pages.
Body Bottom