With the prevalence of Covid 19, collaborative learning (CL) with the guide of advanced digital learning innovation has become progressively dominant in an assortment of instructional settings making the role of the lecturer more demanding in managing the classroom. In any case, notwith-standing a solid hypothetical and exploration premise, CL has been scrutinized for being excessively applied to all learning circumstances and student types but largely ignored management aspects that lecturers lack guidance and support in dealing with learner behavior. This study investigates the im-pacts of extroversion/ introversion character qualities and collectivism/individualism convictions on students’ collaborative learning preferences. The empirical data consisting of 170 valid datasets were collected from undergraduate students after attending computer-supported collaborative learn-ing of Edmodo and Google Meet. The relationship among construct was assessed with Structural Equation Modeling (SEM). The assessment of information demonstrated that student perceptions of computer-supported collaborative learning have a positive association with students' personality and cultural beliefs. This finding brings the implication that although collaborative learning through a digital platform is compulsory during the pandemic, extroversion/introversion on students' attitudes and students' cultural beliefs should be considered to ensure the effectiveness of instructions.

The utilization of Business Intelligence (BI) to yield financial management among manufactures has been one of the main advantages of managing businesses through strategized financial performance. The BI can be conceptualized as a decision-making process, which is an emerging topic within technology management and financial decision making. Furthermore, such factors influencing the adoption of this type of strategized decision-making process are under extensive investigation. The main objective of this research is to develop a BI framework to provide a data analytics and action plan to help Malaysian Halal Food Manufacturing Industry (MHFMI) strategize financial performance. The specific objective of the study is to assess and validate the relationship between the adoption of BI and MHFMI. The methodology of the study starts with the theory adoption of BI parameters and methods, followed by the development of the adopted and adapted theoretical models using the conceptual framework developed and MHFMI involvement into the strategic financial performance management. The managers of the MHFMI is requested to provide the necessary information about their companies, perception of BI and financial performances. Reliability analysis is used to validate the constructs and test measurements in variance. The study applies regression analysis to determine the effects of different decision making strategies on BI. The research output indicates that the BI data analytics and the action plan as well as the conceptual framework could improve the financial performance by the adoption and the adaptation of the conceptualized strategy among MHFMI. This study is believed to be the first in Jordan that shed light on how human resource functions could provide environmental performance in health service organizations particularly in hospitals. It supports the literature of Green HRM and environment protection which is not well developed in developing countries like Jordan.

Nowadays technology transfer is considered as the process of sharing skills, expertise, knowledge and technologies either among government and institutions or between transferee and transferor enterprises. Using scientific investigations and real-world instances of practice, this study tries to show the importance of technology transfer and its role in societal development. Applying the views of the related literature and using a dynamic system approach and experts & apos; opinions, this study is supposed to determine positive and negative relations among different components of social development and technology transfer which are namely the parts of technological give and takes.

Renewable energy technologies (RET) have faced a number of constraints that have affected their rate of adoption. This can be attributed to the presence of complex dynamic factors associated with the technology adoption process. This paper simulates the dynamic behaviour of the RET adoption process, from a systems dynamics point of view. Complex dynamic interactions between technology adopters, policy makers and policies are captured based on systems thinking concepts. Based on a set of input policy parameters and variables, the behaviour of RET adoption is investigated and analyzed. Sensitivity experiments and further “what-if” experiments are carried out to obtain in-depth understanding of RET adoption process. Useful managerial insights are drawn from the simulation results, relevant to decision makers concerned with renewable energy technology innovations and their adoption.