Abstract
One of the main factors that changes individuals’ behavior is social influence. Social influence is defined as a change in an individual’s thinking, feelings, attitudes, or behavior that results from interaction with other individuals or groups. Within the scope of ICT adoption among fishermen, social influence is expected to spread, and this study attempts to discover the social influence that impinges on fishermen’s use of ICT in their fishing routine. This is a quantitative study in which a total of 400 respondents have been selected based on multi-stage simple random sampling. SPSS is used to gain the required analyses, and descriptive analysis is also performed. The results reveal that social influence has less impact on fishermen’s use of ICT based on the low level of mean scores recorded for each of the eight statements studied.
Highlights
The fisheries industry is one of the most important branches of the agriculture sector
The results reveal that social influence has less impact on fishermen’s use of ICT based on the low level of mean scores recorded for each of the eight statements studied
Involvement of male in the fishing industry as a fisherman in Malaysia is absolutely high (98.8%) which indicates the probability that women still place less interest in the fishing industry
Summary
The fisheries industry is one of the most important branches of the agriculture sector. The Malaysian government has placed special interest in this industry via a number of initiatives, such as providing fishermen with a monthly allowance worth USD66, and subsidizing fuel and diesel, which is 65 cents cheaper to registered fishermen These actions can be seen as successful, as the numbers of registered fishermen and vessels have significantly increased. In line with the demands of development, fishing communities have been offered various types of advanced equipment and technologies to aid their fishing operations Technologies such as sonar, echo sounders, geographical positioning systems (GPS), radar, and, the more traditional methods such as mobile phones and wireless sets, have been proven to intensify the socio-economic aspects of the fishing industry (Abu Hassan et al, 2011 and Omar et al 2011). Other studies have been implemented to discover the impacts of behavioral factors on ICT usage
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