Organizational Structure and SMEs Financial Performance: A Structural Equation Modelling Approach

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dc.contributor.advisor Pastore, Andrea it_IT
dc.contributor.author Ali, Ahsan <1992> it_IT
dc.date.accessioned 2022-10-03 it_IT
dc.date.accessioned 2023-02-22T10:54:45Z
dc.date.issued 2022-11-03 it_IT
dc.identifier.uri http://hdl.handle.net/10579/22111
dc.description.abstract A company's bottom line is determined by its ability to learn and generate new ideas. These attributes are influenced by an organization's organizational structure, which includes factors like adaptability, openness, authority, communication, delegation, and decentralization. This study examines how a company's internal structure impacts its performance, with a focus on how organizational learning and innovation serve as a bridge between the two. A theoretical, conceptual, and structural equation model is developed using the literature and hypotheses, a questionnaire survey, and a sample of small and medium-sized firms (SMEs) from Pakistan. The findings indicate that the structure of a small or medium-sized business is critical to its success. The structure of a company has a greater impact on its employees' ability to learn and be innovative than it does on their performance. Organizational learning can have a variety of effects on the performance of SMEs. One of these methods is the invention process. According to our findings, innovation is a more crucial link between an organization's structure and its performance. Rather than focusing on the effects, innovation should be fostered at the strategic level. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Ahsan Ali, 2022 it_IT
dc.title Organizational Structure and SMEs Financial Performance: A Structural Equation Modelling Approach it_IT
dc.title.alternative Organizational Structure and SMEs Financial Performance: A Structural Equation Modelling Approach it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2021-2022_appello_171022 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 877197 it_IT
dc.subject.miur SECS-S/05 STATISTICA SOCIALE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Ahsan Ali (877197@stud.unive.it), 2022-10-03 it_IT
dc.provenance.plagiarycheck Andrea Pastore (pastore@unive.it), 2022-10-17 it_IT


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