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1.5 Discussion and Conclusion

This study supports the conventional views of the influence of independent variables of employee training, firm characteristic, and innovation activities on the determinants of TI. It also examines what best predictor is used to determine TI adoption in the manufacture industries of SMEs in Malaysia using partial least square (PLS) technique analysis. Statistical analysis of the data confirms generally accepted views that all employees training, firm characteristic, and innovation activities have a significant relationship or influence to TI adoption associated by the firm size. The model was shown to be reliable after assessing the reliability values by looking at the Cronbach's alpha values and composite reliability values, and the value is at par with the criteria set up by other established researchers.

Access to PICS II data collected by the Department of Statistics, Malaysia, has allowed a more comprehensive analysis of TI and firm size than has been possible in the past. While the difference is interesting and important, researchers, business owners, and those who set policy in this area also need to be aware of the issues that are shared. The finding of this study confirmed views that employee training has the strongest impact on determining TI adoption. Firm characteristic with regard to firm status and firm regional doesn't have an impact on the TI adoption. These confirm that Bumiputera or non-Bumiputera firm doesn't have an impact on the decision to adopt TI. From the statistical analysis, it shows that large firm has dominants in adopting TI and conduct innovation activities compared to medium and small firms.

Large firm together with employees greater skill in IT is the most associated with TI adoption. Despite the advantages of technology adoption touted in literature, small firm doesn't adopt TI, and the majority stated that the barrier of adopting is with regard to the lack of up-to-date information and lack of knowledge and training. From the finding, it is clear that firm size has influence on the decisionmaking in the technological adoption. With respect to adopt TI process, there are a number of important differences associated with firm size. This would suggest that small business owners need to be cognizant on how their firms' size can affect the adoption.

This study offers policy makers, business owners, and researchers factors and areas that need to be considered to enhance competitiveness and sustainability among SMEs in Malaysia. This research should help in the development of a TI process model which incorporates with the firm size as it points out how firm size is similar to or different from its categories.

Finally, this study has its limitations. By using secondary data, it is just possible that the available data may limit the study to explore other factors with regard to theoretical fundamental in the established literature. Future study could perhaps identify and examine other internal and external factors in regard to TI adoption so that adoption issues could be better understood with regard to firm size.

 
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