Faced with the pandemic caused by COVID-19, universities worldwide are giving a powerful response to support their communities. One way to provide support is via the collaboration between universities and industries, allowing the co-creation of knowledge that leads to innovation. Historically, universities, as knowledge-intensive organizations (KIOs), have produced knowledge through research. At present, its important contribution to countries’ economy is widely recognized through the development of new knowledge and technical know-how. Universities are a source of innovation for firms, which ultimately translates into social welfare improvements. The objective of this research is to analyze the university–firm linkage. The methodological strategy is carried out using Bayesian networks through a model where the main elements of university–industry linking, which impact competitiveness and innovation, are identified and quantified. The technology transfer model shows that the most crucial processes are Technology Strategy, Value Proposal, Knowledge Management, Control and Monitoring, Innovation Management, Needs Detection, Knowledge Creation, New Products and Services, and Absorption Capacity.

Digital consumer behavior and medical tourism: A regional analysis in Mexico

Organisations stem from and are surrounded by society; therefore, there is an undeniable symbiotic relationship that takes place with their emergence. Such relationship is underscored when firms engage in corporate social responsibility practices, at least, in the societal ambience in which they operate. Corporate social responsibility is a strategy that has been known to improve firms' reputations and stakeholders' satisfaction, and has now been mostly related to the enhancement of social benefits. There are social and economic factors that are individually related to corporate social responsibility, yet, it is their integration that propitiates the appropriate convergence with a firm's business growth. If organisations ensure effective convergence of corporate social responsibility actions with business strategies, they may achieve business growth whilst appealing to its and society's needs. Thus, in order to effectively create positive collateral effects on business and society, firms should converge corporate social responsibility strategies with business growth strategies.

Corporate social responsibility (CSR) is a strategy that has the potential to impact stakeholders' perspectives of firms and influence their decision making. Therefore, the communication and transparency that a firm has in regards to its engagement in CSR, or the lack thereof, may directly impact a firm's performance. The study's objective is to differentiate between firms that are socially responsible from those that have fallen short in the engagement in CSR; thus, it offers results from a predictive model that differentiates between socially responsible and transparent firms from those that are either not socially responsible or have chosen to not communicate their efforts. In order to do so, content analysis, principal component analysis (PCA) and cluster analysis were employed with a sample of 226 firms to differentiate among the firms' dynamics in corporate social responsibility. Moreover, the study contributes to the understanding of the importance of reporting on corporate social responsibility.