Over the last few years, knowledge has become part of the operations, both at the productive and service level; being considered as an important resource in companies, since it can generate competitive advantage. The objective was to determine the relationship between the activities developed by the companies from Nonaka & Takeuchi's (1995) approach and the creation of qualitative and quantitative value in 150 micro-entrepreneurs from different sectors. Partial least squares regression technique was used for data analysis and the results showed a direct relationship between socialization, combination and internalization and value creation; on the other hand, the relationship between externalization and value creation was inverse. For all relationships the p-value ensured the significance of them; finally, the study proposes the generation of intra and inter-organizational relationships for the creation, dissemination and use of knowledge in companies.

The research studied the dynamics of the factors that determine competitiveness in the textile sector in Huancayo, Peru, given that in recent years it has been affected, with repercussions on profits, economic-financial stability, jobs, among others. Competitiveness is given by the interaction of various resources, actors and circumstances, which generate situations that could be auspicious or detrimental to the sector and other sectors. As a general perspective, Porter's Competitive Diamond Model and Action-Participatory Research have been used, combining scientific rigor with industrial practice. In applied research of non-experimental transactional design, an Attitude Scale was used as an instrument with 62 items and Likert-type answers, considering 7 latent variables. The methodological intervention was carried out on a sample of 75 sectoral experts. The factors that mainly determine the competitiveness of the textile sector are the structure, rivalry and strategy developed by the companies with a path coefficient of 0.812, the understanding of the behavior of the demand with a path value of 0.912 and the actions of the Government with an inverse relation of 0.824 for the respective path coefficient; while no relation has been established with the variable Integration or cluster.

In a context where ICTs are indispensable elements for the development of business activities, it is necessary to know their influence on the internal improvement of processes. This research seeks to establish the influence of ICTs on the competitive advantage of micro-enterprises in Huancayo 2024. Research developed under a basic type study, has a quantitative approach with a correlational and cross-sectional level, the sample was made up of 59 entrepreneurs in the bakery sector in the province of Huancayo. Data analysis and processing was carried out using structural equations based on PLS. The study obtained the following results: a Sperman 's Rho correlation coefficient of 0.821 with a significance level of ,000 which shows a high and positive degree of influence between ICTs and competitive advantage as well as its different dimensions Level of use, alignment of use and training; Likewise, the general hypothesis is accepted, which establishes that there is a significant relationship between Information and Communication Technology ( ICTs ) and the competitive advantage in SMEs in the pastry sector - Huancayo 2024.

The rapid progress of TICs has generated different ways to modify and transfer information, which implies the generation of new forms of knowledge. The objective of this study is to establish the relationship between digital competencies and university teaching performance in public higher education in Huancayo. The study is of a basic type with a quantitative approach and correlational level, developed with the partition as a sample of 272 teachers and 387 students who develop teaching-learning activities at the UNCP. The data were analyzed and modeled through structural equations based on PLS. The research arrived at the following results: a value of 0.890 in Spearman's Rho correlation coefficient and a significance level of .000, which shows that there is a high positive relationship between the study variables; likewise, the hypothesis is accepted. general which considers that there is a significant relationship between digital competencies and teaching performance in the classroom.

Pandemic moments have generated mental and emotional problems in students at all levels. These have been affected by the format of virtual classes, the mandatory confinement and the little physical relationship due to the existing restrictions, generating academic burnout and anxiety in university students. In this context, the objective was to know the existing relationship between burnout and anxiety in students of the FIS-UNCP, the 15-question Maslach Burnout Inventory Student Questionnaire (MBI-SS) was used with the dimensions: Emotional Exhaustion, Cynicism and Loss of Academic Efficacy and 5 questions to know the level of technological anxiety or technostress, with a population of 328 university students of 10 semesters, through the questionnaire in Office Forms. The research design was non-experimental, transectional, with a qualitative-quantitative approach and descriptive-explanatory levels. The descriptive data analysis was made based on the scale, allowing the identification of students with burnout and the structural equation modeling facilitated the establishment of the relationship between the variables. The study showed that 26 students (7.93%) suffer from academic burnout. At the same time, it has been demonstrated that there is a positive and significant relationship between emotional exhaustion and lack of academic efficacy, with technological anxiety with path values of 0.701 and 0.345 respectively, the p-values allowed demonstrating hypotheses 1 and 3 formulated. At the level of the structural model, it allows anticipating future results, since the coefficient of determination (R2) calculated was 0.838.

Digital transformation has become fundamental to improving the competitiveness of microenterprises worldwide, and Huancayo, Peru is no exception. By adopting digital technologies, microenterprises can improve their operational efficiency, expand their market reach and enhance their abilities to make informed decisions. They have therefore found innovative ways to adapt to changing market conditions, such as incorporating information technologies, online sales, use of social networks and home delivery. Despite this, many microenterprises struggle to survive due to lack of access to financing and adequate government support. This study aimed to analyze how individual, group and organizational factors influence the digital transformation of microenterprises and its impact on their competitiveness. The research was carried out in a sample of 80 multi-sector microenterprises, using a non-probabilistic and cross-sectional research design of a quali-quantitative and explanatory nature, using SEM-PLS. The results of the study indicate a positive relationship between individual, group and organizational factors and digital transformation, as well as with the competitiveness of microenterprises. The coefficients of determination (R2) obtained were 0.8897 and 0.7931 for digital transformation and competitiveness, respectively, indicating a predictive ability in both cases. These findings are of great use to policy makers, business owners and researchers interested in fostering the growth and development of microenterprises in emerging economies.

Digital governance, institutional development and public higher education in Huancayo-Perú in the new situation where remote activities are prioritized, the use of information technologies has increased in the different activities of organizations, allowing them to provide adequate services in an efficient way. The research seeks to establish the relationship between digital governance and institutional development in public higher education in Huancayo - Perú. Basic research with a quantitative approach and correlational level with a sample of 828 people made up of teaching staff, administrative staff and students who interact with the administrative activities of the UNCP. The data analysis and modeling was performed through structural equations based on PLS. As a result of the research, a value of 0.815 was obtained in Spearman's Rho and a significance level of .000, which indicates a high positive relationship, also the general hypothesis that establishes that there is a significant relationship between digital governance and institutional development is accepted.

Educational activities have changed due to the pandemic and it was necessary to respond by giving continuity to the formative processes with virtual platforms as it happened at the Universidad Nacional del Centro del Perú - School of Social Work. The objective was to know the level of satisfaction of students in the use of the virtual platform chosen, using the Questionnaire for the evaluation of learning environments in distance education (Sp-DELES) of 42 questions with dimensions: teacher support, student interaction and collaboration, personal relevance, real learning, active learning, autonomy and satisfaction. A total of 213 students were consulted, the instrument was distributed digitally and anonymously. For the descriptive analysis, the results were ranked in three response categories: agree, indifferent and disagree; the Autonomy dimension was valued with 69.01% agreement and 9.39% disagreement. The dimension with the lowest appreciation was Satisfaction with 25.35% agreement and 28.64% disagreement. Structural equation modeling was performed with SmartPLS, obtaining that Faculty support (FS) and Active learning (AL) have a direct relationship with Satisfaction (S) in the use of the virtual platform with beta values (β) of 0.279 and 0.872 respectively. Contrarily, Real learning (RL) and Autonomy (A) have an inverse relationship with Satisfaction (S) with beta values (β) of -0.025 and -0.122 respectively. The study reflects that there is no relationship between Interaction and Communication among Students (ICS), Personal Relevance (PR) and Satisfaction (S) as the p-values were greater than 0.05. The value of the coefficient of determination (R2) was 0.778 being the representative model. The study is non-experimental, descriptive, explicative and cross-sectional.