In a context with an increased level of competitiveness, companies are more and more interested in aspects concerning sustainable development. The implications of inadequate power quality (PQ) can determine important financial losses and influence companies’ sustainable development through the generated effects. This article aims to facilitate the management of PQ by proposing a method for estimating the economic consequences of a poor PQ, with priority for the disturbances with significant economic effects. To determine the total cost for each type of PQ perturbation that may occur a classification of cost categories was made such as interruptions, process slowdowns, equipment failure, equipment downtime, reduced energy efficiency, lower product quality, lower labor productivity, and other indirect costs. Each PQ disturbance affects the final end-user differently. For calculating the total value for each type of PQ issues, different calculation formulas have been proposed so that each perturbation includes only those components associated with that perturbation. A case study was used to validate the proposed method. Also, the paper includes a technical and economic analysis of the possible compensation solutions for PQ disturbances that may affect the studied company. In conclusion, an understanding of PQ issues’ consequences and an appropriate approach to PQ compensation solutions can be beneficial to any electrical power end-user.

Purpose: In literature, it is recognized that there is no universal set of critical success factors (CSFs) applicable to all projects. The goal of this research is to validate a theoretical model which considers that CSFs’ influence on project success (PS) is configurational, that CSFs combine to influence PS.Design/methodology/approach: The authors proposed a theoretical framework which operationalizes CSFs considering contingency and institutional theories' terms, as external contingencies, organizational resources and project strategies, which influence PS. The framework is validated through a qualitative approach on 18 social projects implemented by nongovernmental organizations (NGOs). Based on the conducted semistructured interviews with NGO managers or project managers, 91 instances when CSFs combine to influence PS were identified.Findings: The dominant path reveals the combination of CSFs in terms of strategies adopted to face contingencies (70 instances), another as resources which moderate managers' strategies (14 instances), and in seven instances positive contingencies and resources combine and influence the PS. The results reveal that CSFs combine in reactive and dynamic ways to influence PS.Originality/value: The research contributes to the vast literature on projects' success by adopting a different perspective. Configurational theory explains project management and projects' complexity better than the traditional approaches, which have a rather correlational perspective.

Scholars have become interested in understanding what drives academics to pursue an entrepreneurial path, but less attention is paid to the individual-level factors that are considered the best predictors of entrepreneurial intentions among academics (AEI). Using a configurational approach, this study investigates the individual factors that influence AEI by confirming whether and under what conditions the antecedents can explain the outcomes. Fuzzy-set comparative qualitative analysis (fsQCA) was performed to identify the causal paths that influence AEI. The results reveal multiple configurations of conditions that influence AEI. The findings show that the attitude toward entrepreneurship is a core condition that explains high AEI. This effect is obtained when a positive attitude among academics is supported by having higher self-efficacy and a mastery goal orientation. In addition, academic status (i.e., job position, job experience) can play an important role in this equation. Also, motivational factors (i.e., performance goal orientation, performance avoidance goal orientation) can lead to low AEI. This is one of the first studies to apply a configurational approach in examining different causal paths to AEI in a developing-country context. This paper uses academic status, self-efficacy, goal orientation, attitude toward entrepreneurship, and academic output as conditions to identify multiple unique pathways that influence AEI.