## 8 Conclusions, Limitations and Future Research Directions  
This current study utilized the notion of adopting CC in HEIs and likewise assessed how the research model created from the DOI mode and TOE framework correlates. This study demonstrates that there is consistency between the proposed model and the data. Apart from the direct influence of vendor support on the intention of adopting CC, the basic factors on decision-makers' intention have a significant influence on the adoption of CC in HEIs. The study outputs have theoretical effects on the identification of the factors influencing the decision-makers' intention to adopt CC and the crucial function of managerial awareness and competitive edges in the research model. The results of the current study affirmed that technology readiness is the most remarkable factor that determines the intention to adopt CC. Therefore, the results suggest that technology readiness has a remarkable and direct correlation regarding the adoption of CC in HEIs. Therefore, the results of the study were able to demonstrate that the theories are useful for pro-environmental behavior and to forecast the intention of adopting CC. Besides, the research model is useful for the improved explanation of the intention of decision-makers in adopting CC. This study has some limitations that will bring about the focus of subsequent research. First, data were collected only in Malaysia. Therefore, subsequent studies can use data from other nations for the validation of the results in the current study. Second, the development of the model in this study was carried out using some critical factors within TOE framework dimensions; hence, future studies may include other critical factors within the three major dimensions. Third, one-time cross-sectional data was used in testing the model, so subsequent studies may work on the validation of the model introduced here with longitudinal data within some time. Fourth, this study tried the investigation of CC adoption in HEIs, based on the context of decision-makers; hence, subsequent studies can pay attention to the context of the cloud provider for a wider comprehension of the intention to adopt CC. Finally, this study looked into only the intent of an organization in adopting CC from the perspective of HEIs. Future studies can use the evaluation of the post-adoption phase, and the successful establishment of this common technology. A world with current modern technologies that keep evolving requires organizations and individuals to keep adapting to the evolved technologies. Thus, researchers are required to always remain ahead of these innovations by investigating future technologies. In this regard, the fourth industrial (IR 4.0) revolution provides a dialectical, intricate, and intriguing opportunity to higher education (HE 4.0), in which the society would be changed for the better. Education in the IR 4.0 era (Education 4.0) is driven by biller technologies as artificial intelligence (AI), augmented reality (AR), internet of things (IoT), big data analysis, CC, and mobile devices, which can promote a way of teaching, research, and service and change the work area from task-centered to human-based [198]. To the best of the researchers' knowledge, no empirical study has been revealed on the adoption and use of HE 4.0. Therefore, further investigations on the adoption and use of HE 4.0 may gain the attention of the researchers. Conceptualization, Y.A.M.Q. and R.A. ([PERSON]); Data curation, Y.A.M.Q. and M.A.A.-S.; Formal analysis, S.A.; Methodology, Y.A.M.Q. and S.A.; Project administration, R.A. ([PERSON]), Y.Y. and R.A. ([PERSON]); Resources, Y.Y. and A.A.Y. ; Supervision, R.A. ([PERSON]) and R.A. ([PERSON]); Validation, M.A.A.-S.; Writing--original draft, Y.A.M.Q. ; Writing--review & editing, A.A.Y. All authors have read and agreed to the published version of the manuscript. This research was funded by Research Management Center (RMC), Universiti Putra Malaysia (UPM), grant number 95223100. The authors declare no conflict of interest.