This study merges insights from two well-known attitude-behavior theories—the theory of planned behavior and the model of altruistic behavior—with elements from two broader models from environmental psychology—the model of environmental behavior and the model of environmental concern—to propose a comprehensive structural equation model to explain recycling behavior. The specified model is estimated using data from the most recent national survey performed in Portugal on the subject. In general, results support the use of the theory of planned behavior as a basis for modeling recycling participation. However, the integration of this theory with the Schwartz's model is only partially achieved. Another important finding is that recycling behavior is indirectly determined by personal psychological features, such as social conscience, but not by general ecological attitudes.

Recycling is an effective resource-recovery mechanism with significant economic and environmental benefits. The success of the Portuguese Integrated System of Packaging Waste Management (SIGRE), managed since 1997 by a private company called SPV, depends on a growing and sustained participation of consumers through the correct separation and disposal of recyclable waste. Within this framework, the present research applies different multivariate data analysis techniques to some specific questions of the most recent national survey about recycling behavior with the purpose of identifying factors able to motivate consumers to participate in the selective-collection program. Results suggest differences between recyclers and nonrecyclers concerning specific attitudes toward recycling and also the need of improving the provided logistic service. This research proposes also some guidelines 505

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Abstract:This study is based on the technique Interpretive Structural Modelling (ISM), in order to delineate a flowchart that shows the main ten barriers (and their relationships) influencing the development of Portuguese Entrepreneurship Ecosystem. Through a process of modelling it was possible to reach a graphical representation that shows the operating sequence of these barriers in order to understand the logic of their relationship. The results show a model represented by a flowchart consisting of 10 barriers, three of them that are positioned at the base of the model have political-legislative features with high level of range in all the remaining barriers, so a political involvement, carefully measured, could contribute to the improvement of the Portuguese Entrepreneurship Ecosystem. The final model is a useful tool that can be adopted by key decisionmakers and players in the Ecosystem in order to optimize the selection of measures enabling the entrepreneurial activity in Portugal.Keywords: Interpretive Structural Modelling, Portuguese Entrepreneurship Ecosystem, Barriers, Modelling, Flowchart. Resumo:Este estudo baseia-se na técnica Interpretive Structural Modeling (ISM), com vista a delinear um fluxograma que apresente as dez principais barreiras (e respetivas relações) influenciadoras do desenvolvimento do Ecossistema Empreendedor Português. Através de um processo de modelação foi possível chegar a uma representação gráfica que mostra a sequência operacional destas barreiras com vista a compreender a lógica da sua relação. Os resultados mostram um modelo representado por um fluxograma constituído por 10 barreiras, três das quais, posicionadas na base do modelo possuem características politico-legislativas com elevado nível de alcance em todas as restantes, pelo que um envolvimento político, cuidadosamente calibrado, poderia vir a contribuir para a melhoria das condições do ecossistema empreendedor português. O modelo final, é um instrumento útil que pode ser adotado pelos principais decisores e atores do Ecossistema no sentido de otimizar a seleção de medidas dinamizadoras da atividade empreendedora em Portugal. Palavras-chave: Modelagem estrutural interpretativa, EcossistemaEmpreendedor Português, Barreiras, Modelação, Fluxograma.

Portugal, with a relatively high fatality rate for occupational accidents, faces the challenge of reducing fatalities with limited funding. This research identifies significant predictors in Portugal and estimates probabilities of occurrence. The model, based on applied logistic regression, suggests that policy‐makers should focus prevention efforts on older workers; persons with permanent contracts; those employed by large enterprises or at workplaces in the trade or services sectors; and those exposed to deviations by overflow, overturn, leak, flow, vaporization or emissions that are likely to cause musculoskeletal disorders, wounds, fractures or traumatic amputations.

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The purpose of this paper is to provide an overall picture of the current investigation of insurance cancellation in the non-life business, taking into consideration the influence of intermediaries on customers' decisions using the systematic quantitative literature review method. This article identifies the most important factors that explain switching behaviour in non-life insurance. It also highlights the impact and responsibility of insurance companies' marketing strategies and tactics on insurance policy cancellations and customer churn. This research contributes to increasing scientific knowledge on insurance cancellation in the non-life business and to the development of actions to retain customers, with a higher level of effectiveness, improving the results of insurance companies and the performance of the industry.

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