The effect of digitalization, work-family conflict, and organizational factors on employee performance during the COVID-19 pandemic

The modern concept of open innovation highlights the role of technology transfer from universities to the business environment. An increase in technology transfer efficiency is one of the tasks assigned to Ukrainian universities by the state. The nature of technology transfers in the world and the role of universities in this process call for revising traditional approaches to its production in Ukraine. This stipulated the substantiation of theoretical and methodological principles of technology transfer from universities to the business environment, which should serve as a fundamental platform for further economic, technological and other actions in the innovation development of Ukraine. For this purpose, the modern theoretical and applied components of technology transfer from universities to the business environment are researched; the theoretical and methodological principles of technology transfer are determined and the conceptual approach to understanding technology transfer from universities to the business environment is proved. To achieve the tasks at hand, the background and trends in technology transfer from universities to the business environment have been researched; the role of universities in modern technology transfers is analyzed; the peculiarities and potential of the scientific area of Ukraine are considered; the influence of university technology transfer centers on the universities’ academic entrepreneurship has been studied; the nature of knowledge transformation during the technology transfer is substantiated; the influence of technology transfer on the university subsystems is considered; the effects of technology transfer are investigated; models of interaction in the system “University – Governmental Authority – Business” are studied; and modern approaches to the technology transfer from universities to the business environment are researched. Given the research conducted, theoretical and methodological principles for technology transfer were formed, which conceptualize the technology transfer from universities to the business environment.

This study aims to investigate the influence of servant leadership on job satisfaction with individual character as a moderating variable. It used a quantitative approach with multiple linear regression analysis. The population of this study were employees of the Central Sulawesi province industry and trade office. It involved 72 samples selected using a purposive sampling technique. The results showed that servant leadership significantly influence job satisfaction with a value of 82.5%. The most significant factor affecting job satisfaction is wisdom (correlation coefficient = 0.863) in which the higher the wisdom, the higher the job satisfaction. The next factor is persuasive mapping in which the higher the persuasive mapping, the higher the job satisfaction (correlation coefficient = 0.697). Then, it was followed by altruistic calling with the correlation coefficient value of 0.524 in which the higher the altruistic calling, the higher the job satisfaction. The last is emotional healing with a correlation coefficient value of 0.291 in which the higher the emotional healing, the higher the job satisfaction. On the other hand, organizational stewardship is the only factor does not influence the job satisfaction (correlation coefficient = 0.009).

This research reveals the factors explaining the purchase intention toward green products among young consumers. Young consumers are beginner consumers who are going to play an important role to take a responsibility in preserving the environment. Theory of Planned Behavior (TPB) is selected as the main theoretical framework in this research alongside some other variables (environmental concern, environmental knowledge, and willingness to pay), which are added in the research model to expand TPB application. Three hundred and twenty-six respondents were interviewed through a survey and the data are analyzed using Structural Equation Modeling (SEM).
The findings illustrated that not every explanatory variable influenced the purchase intention toward green products among young consumers. Environmental concern and attitude did not influence the purchase intention toward green products among young consumers.