Tourist expectations and perception of service providers: a Brazilian perspective

Service Business - This research studies the formation of tourist expectations around a tourist destination and the existence of a knowledge gap between this group and perceptions of tourism...     

Corporate social responsibility projects: critical success factors for better performance of Brazilian companies and guidelines to qualify professionals and entrepreneurs

Corporate Social Responsibility is a reality for businesses and can be understood through the analysis of organizational actions in three areas, namely: economic, social and environmental. Its operationalization occurs through projects, and cases presented by the literature can greatly contribute to the definition of factors that lead these projects to success. Generally, professionals and entrepreneurs have good qualifications in traditional aspects of project management, but when they need to manage Corporate Social Responsibility projects doubts arise. In this context, the main objective of this study was to analyse the most impactful Critical Success Factors for Corporate Social Responsibility projects, considering Brazilian companies’ context, and to propose guidelines to better qualify new professionals and entrepreneurs in the kind of projects mentioned. Thirteen Critical Success Factors were identified in the literature and, through a survey with experienced professionals, it was possible to evidence the six most relevant for Brazilian companies’ context: ability to properly define the scope; ability to integrate the CSR project with the company's strategy; ability to identify stakeholders’ needs; ability to analyse risks; identify and involve stakeholders outside the organization; and grant financial resources to meet project needs. Using the information provided, three guidelines were proposed to better qualify professionals and entrepreneurs. This is an exploratory study that can contribute to potentialize debates on theme.

     

Parsimonious Models of Financial Insolvency in Small Companies

This study is an extension of current research on insolvency diagnosis. We intend to demonstrate that in small firms, the relevant information for the preventive diagnosis of insolvency can be synthesised in a model built upon a more reduced number of economic and financial ratios than the ones generally used in this kind of study. Our approach produces parsimonious models that can extract information from publicly available accounting-financial data. We demonstrate that using an extensive exploratory stage that will monitor the effects of correlation between financial variables, we will be able to build relatively stable models with a small set of variables.The results of the models built by resorting to discriminant analysis and to logistic regression present a similar accuracy to models previously developed. Our models present the advantage of including a small number of variables that can be interpreted in the light of current financial theory and therefore it reduces the number of financial data needed to make an insolvency diagnosis. This is particularly decisive when working in an environment of restricted information availability, which is very common in small companies.     

Motivation in sport and exercise: a comparison between the BRSQ and BREQ

Quality & Quantity - This study aimed to test whether the Behavioral Regulation in Sport Questionnaire and the Behavioral Regulation in Exercise Questionnaire can measure the same constructs in...     

Structural Changes in the Duration of Bull Markets and Business Cycle Dynamics

Asia-Pacific Financial Markets - This paper tests for structural changes in the duration of bull regimes in 18 developed and emerging economies’ adjusted market capitalization stock indexes,...