Citation
Mohammed, Ibrahim Adamkolo
(2017)
Factors affecting ICT usage for the development of small and medium agro-based enterprises in Selangor, Malaysia.
Masters thesis, Universiti Putra Malaysia.
Abstract
Information and communication technology (ICT) has been identified as a mean that
has great potential to spur innovative development in small and medium-scale
enterprises (SME). This study adopted the Unified Theory of Acceptance and Use of
Technology (UTAUT) model perspective to investigate factors affecting ICT usage by
agro-based SMEs in Selangor. This study aimed to achieve four specific objectives as
follows: to identify the ICTs predominantly used by the agro-based SMEs in their
businesses; to determine the factors that affect ICT usage among the agro-based SMEs;
to determine the relationship between performance expectancy (PE), effort expectancy
(EE), social influence (SI), facilitating conditions (FC), SME organisational size (SOS)
and managerial creativity and innovativeness (MC&I) and ICT usage (IU); and to
determine the moderating effect of gender, age and experience on the relationship
between PE, EE, SI, FC, SOS and MC&I and IU.
The UTAUT Model was adopted with some modifications by integrating two
externally derived constructs, SME managerial creativity and SME organisational size
as predictors. Furthermore, the behavioural intention dimension, which is also
theorized to predict direct ICT usage, was dropped because many past studies have
supported the claim that when a behavior becomes routine, it translates to habit, which
is tantamount to automaticity. The moderation influence of only gender, age and
experience was investigated as voluntariness of use was also dropped for convenience
reasons. A questionnaire containing 132 items was administered to 400 workers
(including managers). The workers were selected using purposive sampling from 43
agro-based SMEs in Selangor.After data collection, 395 completed questionnaires were retrieved successfully. The
data was analysed using Statistical Package for Social Sciences (SPSS) version 22 and
Structural Equation Model -Analysis of Moment Structure (SEM-AMOS) statistical
software. The descriptive data and multiple regression analyses were performed using
SPSS while factor analysis was performed using SEM-AMOS. SEM-AMOS was
mainly used to test the hypotheses and determine the statistical fitness, or statistical
strength of the new research model (also known as the structural model of this study),
which was designed using SEM-AMOS to measure the research data adequately.
To determine the statistical significance of each of the six predictors and their
respective measurement items in the conceptual framework, principle component
analysis (PCA) was ran. At PCA, social influence (SI) construct loaded with very weak
items, which indicates that the construct was statistically non-significant, and if it was
retained it would affect the statistical significance of the conceptual framework
negatively, hence it was eliminated from the research framework as recommended in
statistics rules. Thus, only five valid constructs remain in the conceptual framework of
this study, namely performance expectancy, (PE), effort expectancy (EE), facilitating
conditions (FC), managerial creativity and innovativeness (MC&I), SME
organisational size (SOS) and ICT usage (IU). Furthermore, to confirm the statistical
significance of each of the five remaining predictors with their respective measurement
items, confirmatory factor analysis (CFA) was ran. CFA reduced the number of
measurement items in each of the constructs to only three except for ICT usage
construct, which was reduced to nine items. All the measurement items in the entire
research scale recorded very high internal consistency reliability (Cronbach alpha)
coefficient, ranging from 0.951 to 0.842, with a good overall model fit index (RMSEA)
value = .79, indicating that the structural model was sufficiently fit to measure the data
and yield valid results.The study found that performance expectancy, SME organisational size and SME
managerial creativity and innovativeness significantly predicted ICT usage. In
addition, age, gender and experience moderated the relationships at various levels of
significance. Importantly however, performance expectancy was moderated by
experience, which implies that agro-based SMEs that are run by employees and
managers with prior ICT usage experience stand better chances of deriving much
benefits from using ICT in their businesses. The structural (measurement) model
predicted 31% (R2 0.31) of the variances associated with ICT usage. Therefore, the
study concludes as follows. (1) That the anticipation of ICT usage benefits, enterprise
organisational size and characteristics of enterprise managers, moderated by the workers' demographic characteristics and ICT usage experience are the critical factors that affect the usage of ICT by agro-based SMEs in Selangor; (2) gender, age and
experience of the workers (as well as those of the managers) can influence ICT usage
by agro-based SMEs in Selangor; and that (3) female employees using ICTs are more
likely to perform work better and yield higher gains than their male counterparts may
be able to do. Therefore, this study suggests that a paradigm shift from a maledominated
industrial ICT usage bias towards a female-dominated one may be
imminent, at least in Selangor context.
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