Abstract Paper aims To do a comprehensive review of the exact and heuristic methods, software/programming languages, constraints, and types of analysis (technical and fundamental) used to solve the portfolio optimization problem. Originality The paper presents a useful discussion on aspects of portfolio optimization, both for researchers and investors and for finance professionals. Research method A systematic literature review was performed, and the articles were compiled according to pre-established criteria/filters. Main findings A point of attention should be given to the input data of optimization models. Depending on the degree of the estimation error of these input parameters, the optimization results may be lower than the results of the 1/N trading strategy. Implications for theory and practice Robust optimization, Fuzzy logic, and prediction are examples of techniques used to reduce estimation errors. At the end of the article are pointed out trends and some gaps for future work.

Abstract This research aims to propose and try out a model to assess the Industrial Engineering students’ satisfaction, with a focus on private higher education institutions. The research tool used in this study was the Student Questionnaire 2011 National Exam for the Assessment of Student Performance (ENADE), made available by the Brazilian Ministry of Education (MEC). The questions were designed to assess undergraduate students general satisfaction based on the following constructs: Teacher Involvement, Student Interest, Course Demands, Course Organization, and General Satisfaction. A new construct was added to this research: Infrastructure. The methods employed to analyze students’ responses concerning their satisfaction with the service provided by higher education institutions were: Confirmatory Factor Analysis and Structural Equation Modeling, with the support of the software package SPSS® (Statistical Package for the Social Sciences) and the AMOS® module. The hypotheses proposed in the model indicate that the construct Teacher Involvement is key to Student General Satisfaction.