The Central Road is the most connected road between the capital and cities of the jungle and the highlands in Peru. Nowadays, this road suffers from intense traffic jams that excessively delay time travel. Moreover, it is vulnerable to closures due to natural and human factors. Also, there is a proliferation of reckless drivers who do not care about speeding and cause terrible accidents. Hence, the current research explores whether the speeding record affected the occurrence of accidents on this road. After applying the Logit regression, it was possible to find that only recording speeding beyond 30 kilometers per hour over the limit was relevant to prevent accidents. It was also suggested that the speedometer should track 24 hours a day along with measures to improve the infrastructure of this road.

Road accidents are an essential issue for every country in the world because their consequences are devastating for the people involved in all senses. Speeding has been considered one of the main reasons for these tragedies. Therefore, the current research analyzed the relationship between speeding and severe accidents on the Pan-American highway in Peru. Publicly available data kept in a Peruvian official agency was employed. Methodologically, the logit regression was harnessed since the data were categorical. After the analysis, the research found that it was riskier to have severe accidents than speeding in urban areas crossing the highway and driving or being inside a truck.

More than half of Peruvian exportations are made by mining companies, which also are a traditional employment source that attracts thousands of Peruvian workers because of their high economic benefits. This paper aims to find whether there is a relationship between personnel expenses change and productivity change in Peruvian stock mining companies from 2011 to 2018. Malmquist index and multiple regression were used to analyze data of 17 Peruvian mining companies both metallic and nonmetallic ones. It was found that there was a negative relationship between personnel expenses change and productivity change in metallic mining companies while there was a positive one for nonmetallic companies.

Electronic commerce is a way of sale that has come to stay. It helps companies to overcome physical barriers, and in theory, it increases their sales. However, does electronic commerce have any impact on the firms' revenue? This research sought the answer by employing OLS and quantile regressions in a sample of 2164 Peruvian retail firms. The dataset was obtained through the INEI economic survey of 2019, which was the last one. For methodological purposes, electronic commerce was compared against the other sales channels employed by the studied firms. It was found that electronic commerce positively impacted the income in firms with more enormous revenues but was still low compared with traditional commerce forms.

Digitalization is a reality for everyone, including the government. As a consequence, more governments around the globe started to digitize their services, looking for more user satisfaction. In the case of Peru, the civil registration service, called RENIEC, found its particular way to implement digital solutions for their services. Therefore, did those efforts have any effect on the users’ satisfaction? The current analysis using ordinary least squares and Shapley’s value evaluated the impact of digitalization on user satisfaction. After the necessary research, we found that the birth and divorce digital process positively affected user satisfaction, while divorce did not.

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.

The business context has been affected by the action of Covid 19, and companies must react to this new reality. The research analyzes people, processes and technology and their effect on the development of the respective business strategy in small companies in Huancayo, Peru. The study design was non-probabilistic, cross-sectional, qualitative-quantitative and explanatory in a sample of 99 business units. The analytical technique used was structural equation modeling based on PLS. The results indicate that there is a positive relationship between the processes and technology used and the implementation of actions to achieve their objectives. No significant relationship was found with people, given that in the face of the health emergency, economic paralysis, closure of markets and sectors, the companies had to make decisions and postpone concern for human resources. The coefficient of determination (R2) was 79.3%, which shows that the model presented allows predicting future results.

The coca leaf has many uses in the Peruvian culture. Although there are legal usages, people employ coca for illicit business. The most infamous illegal use is cocaine production. The cocaine business is highly profitable, but it harms human health. Then, what are the determinants of cocaine price? The current analysis aims to get the variables with the capability to explain the cocaine prices in Peru. The period analyzed is 2003-2019. The study gathered variables from DEVIDA and UNDOC databases. The Lasso technique selected the variables with the best capability to predict cocaine price. Those variables were: ENACO acquisition, coca seizures, and coca crops. OLS, VAR, and Granger analyses employed those variables to analyze the relationship between them. According to the OLS analysis, both ENACO acquisition and coca crops had adverse effects on cocaine prices, while coca seizures were positively related to the cocaine price. VAR analysis showed that only ENACO acquisition had a short-term relationship with the dependent variable. Moreover, it showed that the whole set of variables influenced the dependent variable. The Granger analysis proved that there was a cause-effect relationship between ENACO acquisition and cocaine price. Hence, the ENACO purchases expansion can rest the attractiveness of illegal groups to farmers. However, lowering cocaine prices might attract more users. Therefore, educational activities are also required.

The present study's main objective was to analyze and determine the impact of digital marketing on the management of relationships with university students in times of Covid-19. The study was conducted from a quantitative approach, with a non-experimental transactional correlational transactional research design. A questionnaire was applied to 400 students aged 18 to 37 years belonging to the Continental University of the city of Huancayo in Peru. The analysis of the results was developed through a data structure and tabulation model with the SmartPLS3 program and it was obtained that Content Marketing has a significant influence on the operational management of customer relationships (p<0.05), as well as on the analytical and collaborative management of customer relationships. As for Social Media Marketing, it was identified that it has a significant influence on operational customer relationship management (p<0.05), as well as on analytical and collaborative customer relationship management, due to the fact that the digital media used by Continental University are attractive to parents and families. It is concluded that Digital Marketing has a great impact on the management of relationships with students of the Continental University in the city of Huancayo in Peru.

Project scheduling models with resource constraints and multi-mode activities aims to create a schedule for carrying out activities considering precedence constraints and available resources in order to minimize the project duration. In the real world, we face uncertainty related to projects, where there are no historical data, hence, we should rely on the experts' judgements to estimate activity durations. For this purpose, in this paper, the 99-simulation method is used to deal with uncertainty. The exact mathematical programming model is presented in this paper and the hybrid algorithm based on Genetic Algorithm is used to solve this type of project scheduling problem which finds the near-optimal solution in a short computational time. Finally, the effectiveness of the proposed model is examined with a numerical example.