Publicação
Essays on sustainable development research: The contribution of latent variable modeling
| Resumo: | This Ph.D. dissertation focuses on the empirical application of Latent Variable Models (LVM) with special emphasis on Structural Equation Modeling (SEM), with six distinct studies. The broad area of sustainable development (SD) is used in cross-sectional applications to demonstrate how SEM can be applied in economics and management to research theoretical, underlying, constructs, while providing relevant policy insights. A better understanding of the hypothetical constructs that are ingrained in the sustainable development debate provides the indispensable foundation for the strategic success of businesses. It helps adjust for challenges that arise due to sustainable development concerns, identify and capitalize opportunities, and understand how the perceptions of managers and executives are formed. This dissertations contribution to the literature can be seen in three major ways. First, it tests and applies the SEM framework in an emerging area. Second, it contributes to the area of sustainable development by clarifying concepts at the macro and multi-level contexts. Third, highlighting the importance of sustainable development in the business context. The results of the six studies extend the current literature and pave the way for future research avenues in a substantive and methodological way, in the context of sources, data reliability, and statistical methods. |
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| Autores principais: | Witulski, Nikolai Sebastian |
| Assunto: | Latent variable model Structural equation modeling Sustainable development Perception studies Modelo com variável latente Modelos de equações estruturais Desenvolvimento sustentável Estudos da perceção Gestão estratégica Variáveis latentes Métodos estatísticos |
| Ano: | 2020 |
| País: | Portugal |
| Tipo de documento: | tese de doutoramento |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | This Ph.D. dissertation focuses on the empirical application of Latent Variable Models (LVM) with special emphasis on Structural Equation Modeling (SEM), with six distinct studies. The broad area of sustainable development (SD) is used in cross-sectional applications to demonstrate how SEM can be applied in economics and management to research theoretical, underlying, constructs, while providing relevant policy insights. A better understanding of the hypothetical constructs that are ingrained in the sustainable development debate provides the indispensable foundation for the strategic success of businesses. It helps adjust for challenges that arise due to sustainable development concerns, identify and capitalize opportunities, and understand how the perceptions of managers and executives are formed. This dissertations contribution to the literature can be seen in three major ways. First, it tests and applies the SEM framework in an emerging area. Second, it contributes to the area of sustainable development by clarifying concepts at the macro and multi-level contexts. Third, highlighting the importance of sustainable development in the business context. The results of the six studies extend the current literature and pave the way for future research avenues in a substantive and methodological way, in the context of sources, data reliability, and statistical methods. |
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