• Energy Research

This research assesses the influence of education development support, conceptual development support, and country support through entrepreneurial self-efficacy over green entrepreneurial intentions. A total of 532 business students in Ecuador participated in an online survey. Eight questions were focused on demographic information, and twenty-seven questions evaluated the green entrepreneurship intentions of students. An SEM-PLS technical analysis was used. The results showed that educational support for developing entrepreneurship (0.296), conceptual support for developing entrepreneurship (0.123), and country support for entrepreneurship (0.188) had a positive influence on entrepreneurial self-efficacy, and that entrepreneurial self-efficacy had a positive influence (0.855) on gren entrepreneurial intentions. The model explained 73.1% of the green entrepreneurial intentions. Outcomes of the bootstrapping test were used to evaluate if the path coefficients are significant. This study showed the impacts of education development support, conceptual development support, and country support on the entrepreneur’s ability to carry out green entrepreneurship were positive. This information can help universities develop strategic plans to achieve ecological ventures and ensure students have the necessary skills to do so on campus. The research findings also may be helpful for the governments in establishing new norms to promote entrepreneurship. The novelty is based on using the partial least square structural equation modeling (PLS-SEM) technique.

The current study aims to validate and apply an instrument to assess the relationship between communication overload, social overload, technostress, exhaustion and academic performance. We performed a cross-sectional, analytical study of 2286 university medical students to assess the influence of technostress as a mediator of social media overload, communication overload and mental exhaustion and its detrimental effect on the academic performance of university students in Peru during the COVID-19 pandemic. The research model was validated using partial least square structural equation modeling (PLS-SEM) to establish the influence of variables on the model. Communication and social overload were found to positively influence technostress by correlations of 0.284 and 0.557, respectively. Technostress positively influenced exhaustion by 0.898, while exhaustion negatively influenced academic performance by -0.439. Bootstrapping demonstrated that the path coefficients of the research model were statistically significant. The research outcomes may help university managers understand students’ technostress and develop strategies to improve the balanced use of technology for their daily academic activities.

This study aims to outline the influence of Environmental Attitude (EA) in Purchase Intention (PI) and Purchase Behavior (PB). The Theory of Reasoned Action (TRA) was extended by adding Environmental Concern (EC) and Perceived Environmental Knowledge (PEK) as EA predictors. A total of 396 responses from Peru were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). In the findings, Environmental Attitude acts as a mediator between Environmental Concern and Perceived Environmental Knowledge, and Purchase Intention. Additionally, this actual interrelationship results in a positive relationship with Purchase Behavior. Subjective Norms were not an essential predictor of Purchase Intention, which validates previous studies. Our findings suggest that Peruvian consumers prefer sustainable clothing because they are concerned with and aware of current environmental issues. Consequently, their attitude is shaped based on environmental concern and perceived environmental knowledge, resulting in an increasing intention to buy sustainable clothes, which are aimed at reducing environmental impact. The research findings may support the marketing and selling strategies of firms to show that their brands are green and can generate more interest in current and future customers. The novelty is based on using the partial least squares structural equation modeling (PLS-SEM) technique.

Successful project management depends on ensuring the project’s objectives. Within these objectives, technical success is associated with achieving the expectations of the project baseline. The baseline of the project is made up of the definition of the scope (WBS), time (schedule) and costs (S curve) of the project. Directly, the project is expected to be technically successful if it manages to deliver its full scope on schedule and without associated cost overruns. Baseline performance management is how project managers track and control the progress of deliverables, timelines and associated costs. In a traditional approach, for waterfall-type projects that use the critical path paradigm, the baseline performance management tool par excellence is earned value management (EVM). Earned value management, in practice, works well when project costs are monitored and controlled; however, applying this approach to measure the status of the schedule presents serious inconsistencies. Over the last several decades, different variations of the original earned value have been developed to overcome some of these inconsistencies when used to measure project schedule status. Within these variations, we have the critical path earned value; the work in progress earned value; the critical path earned value and the work in progress; the earned schedule; and the critical path earned schedule. Each of these proposals tries to address some weakness of the original earned value management applied to time monitoring and control, for example, considering critical tasks as a focus on monitoring the progress of the schedule, solving the problem of task recognition late finishers, reporting schedule variances in time units and measuring adherence to the project’s schedule (P factor). Due to the exposed situation, it is necessary to determine which alternative of the versions of the original earned value is the most appropriate for the management of the project schedule, considering that there are several evaluation criteria that must be considered. In the present research, a systematic review and comparison of EVM and its variations for measuring project baseline schedule performance are performed to determine the most suitable methods for monitoring and controlling the project baseline schedule. For this purpose, the analytic hierarchy process (AHP) is used, and five comparison criteria are considered: schedule variation focused on critical tasks, recognition and measurement of the delay of tasks that finish late, schedule variation in time units, measurement of schedule adherence (P factor) and software support and development. The result of the AHP performed for comparing the methods shows that the best method for monitoring and controlling the project baseline schedule is the critical path earned schedule because it behaves adequately in comparison with the other methods for the evaluated comparison categories.

This study aimed to determine the effect of corporate social responsibility (CSR) on consumer satisfaction and loyalty in the Peruvian private banking sector. A total of 390 bank consumers fulfilled an online survey. It evaluated the effect of corporate social responsibility (CSR), customer satisfaction (CS), and customer trust (CT) on customer loyalty. The results suggest that CSR and customer satisfaction, through customer trust, have a positive effect on customer loyalty. The model explained 63.6% of customer loyalty. Outcomes of the bootstrapping test showed that the path coefficients were significant. The research findings may help bank managers to understand customers’ satisfaction and trust, which can create a preference and loyalty for their firms. The study’s novelty is based on the use of the partial least square structural equation modeling technique (PLS-SEM) to evaluate CSR in the financial sector in Peru.

The coronavirus disease 2019 (COVID-19) pandemic has changed the world, creating the need for new actions from society, including universities and companies. The United Nations Sustainable Development Goals (SDGs) are part of a global agenda, but this priority is not significant to university students. Although some research has focused on SDGs and university students, there is a lack of evaluation and comparison in Latin American countries. The current study aims to evaluate student knowledge of the SDGs, the relation of student professional careers to the SDGs, the importance of the SDGs for economic development after the COVID-19 pandemic, and student interest research in SDG issues. The study is carried out with students in Colombia, Ecuador, Mexico, and Peru. The instrument was developed and validated. The highest score of level of knowledge was reported in Mexico and the lowest score in Colombia. This outcome can be explained by the availability of training programs in the universities about SDGs. The availability of programs created and promoted by the governments can also be a reason; however, students from Mexico are the ones who felt the most that the authorities are not making efforts to promote the SDGs. With research interests, interests in creating sustainable cities and communities, and responsible consumption and production were recognized for the four countries. The outcomes reveal several interesting insights through comparisons among the four countries considered according to descriptive analyses. Some SDGs were found to be more important for some countries than others. Interests were noted in research on some SDGs.