Business environment in Malaysia has become more competitive due to the advancement of technology and globalisation including the small and medium enterprises (SMEs). SMEs have so long devised various marketing strategies in order to penetrate the online advertisement clutter alongside improving their performance. Past studies have shown that using ICT such as social media help to improve SMEs’ performance. The owner-managers themselves determine the adoption of social media in their marketing due to the process of information collection and analysis are highly relied on them. Most of the SMEs have their own websites but these are primarily used as an information tool only. Thus, this study investigated the mediating role of social media marketing adoption between technological support, organisational support, government support and competitive intelligence towards the performance of SME. The theoretical framework of this study is substantiated by Resource-based View (RBV) theory and supported by Technology, Environment and Organisation (TOE) framework. This study has been carried out in the East Coast region of Malaysia consisting of Kelantan, Terengganu and Pahang states and also employed a questionnaire survey method. From 1920 questionnaires distributed, 339 responses were returned and found usable for the final analysis using the structural equation model partial least square (SEM-PLS). The findings revealed that the adoption of social media marketing mediates the relationship between these technological, organisational, and government supports, the competitive intelligence, and SME performance. Finally, the study’s theoretical and practical implications as well as the limitations and directions for future research were provided and discussed.

Teaching effectiveness has been a key concern for universities since it pertains to the achievements of skills required for the competitive job market. This study aims to identify the factors that might influence teaching effectiveness. For the purpose of the study, data were collected from the seventh semester students of manufacturing engineering programme and product design engineering programme of one university in the northern Peninsular of Malaysia. A structured questionnaire was used and the responses were gathered with a five point Likert Scale. 130 set of questionnaires were collected and were then analysed with partial least square structural equation modelling (PLS SEM) method. The PLS findings revealed that lecturers’ ability, course characteristics and teaching methods & materials are strong predictors of teaching effectiveness. The outcome of this PLS analysis may pave the way for universities to develop new guidelines so as to improve teaching effectiveness. Consequently, this effective teaching will equip the university graduates with the necessary knowledge and skills required by employers.