The past few year statistics show that more and more small companies are going bankrupt. Only in the year 2013 the figure increased by five percent over the prior year. Therefore, this study intends to highlight the problem of why failures occur and what underlying signals firms receive about a looming bankruptcy. It is not uncommon for firms for various reasons aside from the signals they receive about the company's financial position. The aim of this study is to increase the understanding of the signals at corporate failures.To answer this purpose, the study used a qualitative approach with quantitative elements. The qualitative method has been implemented in the form of personal interviews with the bankruptcy trustee and the quantitative method based on statistics from the district court in Lulea and data based on repertory grid. The quantitative data from the analysis program, Repertory grid, contributes a principal component analysis and factor analysis.With the help of the principal component analysis there could be four different typologies of insolvent companies identified. The dimensions that were found to have the highest variance were corporate structure and degree of external expertise. Based on these dimensions could every business be categorized. The factor analysis presents factor loadings which had the greatest explanation arising from or related construction.Key words: Repertory grid, institutional theory, signal theory, bankruptcy, small businesses, small enterprises. / <p>Validerat; 20140813 (global_studentproject_submitter)</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-58117 |
| Date | January 2014 |
| Creators | Hansson, Maria, Lundh, Maria |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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