Lashayo D. M.

Work place: Department of Computer Science and Mathematics, The Institute of Finance Management (IFM), Tanzania



Research Interests: Artificial Intelligence


Deogratius Mathew Lashayo holds a PhD in ICT from Management and Science University (Malaysia). Currently, he is a Lecturer at the public-owned institution (Institute of Finance in Tanzania) and non-executive director of private-owned IT company in Tanzania. Apart from teaching, Dr. Lashayo has supervised several projects at undergraduate and postgraduate levels. Dr Lashayo has published a lot in reputable peer-to-peer reviewed journals. His research areas include: Electronic Learning Systems, Artificial Intelligence (AI), and Information Security and Enterprise Resource Planning Systems. He may be contacted through:

Author Articles
Implementing Enterprise Resource Planning Systems in Tanzanian Higher Education Institutions: The Influence of Task-technology Fit on Staff Performance

By Mhina J. R. A. Lashayo D. M.

DOI:, Pub. Date: 8 Oct. 2023

Individual user performance over ERP systems in Higher Education Institutions (HEIs) is less researched. Furthermore, the simultaneous impacts of Task-Technology Fit (TTF) on individual user (staff) performance over ERP systems in the context of Tanzania is little known. This study aimed at investigating both the direct and indirect impacts of TTF on staff performance over ERP systems in HEIs in Tanzania. This study was quantitatively designed using the snowball sampling technique by modifying D & M IS success model. The modified framework was subjected to a sample of 163 staff who are using the ERP system to accomplish business processes. The data collected was analyzed using Structure Equation Modelling (SEM). The results show that TTF has considerable direct and indirect impacts towards the performance of staff who are using ERP systems. This implies that whenever an enterprise is implementing an ERP system to improve its business process outcomes then a deep analysis has to be taken on three key elements of TTF i.e. task, technology and individual characteristics. The discussion and implications of impacts were also reported.

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