INFLUENCE OF ORGANISATIONAL STRATEGY ON IMPLEMENTATION OF ELECTRONIC PROJECT MONITORING INFORMATION SYSTEM IN PUBLIC TERTIARY INSTITUTIONS IN KENYA

Abstract

The principal objective of the study reported in this article was to empirically assess on the influence
of organisational strategy on the implementation of Electronic Project Monitoring Information System
(e-ProMIS) in Public Tertiary Institutions in Kenya. The population of the study comprised members
of staff from public tertiary institutions in Kenya. A sample of 210 members of staff was selected
using stratified and simple random sampling techniques. Questionnaire with both open and closedended items with Likert-type interval scale anchored on a five point scale was used to collect data.
Descriptive statistics show that majority of the public tertiary institutions in Kenya applied reactor
strategy (M=3.40, SD=1.13) followed by defender strategy (M=2.46, SD=0.56) and a few of them
used prospector strategy (M=2.26, SD=0.68). Reactor which was the dominant strategy utilised in
tertiary institutions is not a stable strategy since institutions that adopt it are not able to respond
effectively to the environment. They adapt only when environmental pressures force them to do so.
Results from inferential statistics show that r is equal to 0.513, indicating that organisational strategy
has a moderately strong influence on implementation of e-ProMIS. The value of R squared is 0.263,
indicating that organisational strategy explains 26.3% of the variation in the implementation of
electronic project monitoring information system in public tertiary institutions in Kenya. The β
coefficient of prospector strategy is 0.025, that of defender strategy is 0.397 and reactor strategy is
0.217. These results indicate that prospector strategy had no statistically significant influence on the
implementation of e-ProMIS (β=0.025, t=0.280, p=0.780>0.05). Comparing the p values, it can be
noted that the p values for defender strategy (p=0.000) and reactor strategy (p=0.003) are both
statistically significant. The β values imply that one unit change in implementation of e-ProMIS is
associated with 2.5% changes in prospector strategy, 39.7% changes in defender strategy and 21.7%
changes in reactor strategy.