Factors of success for Norwegian top football clubs

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Factors of success for Norwegian top football clubs

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Title: Factors of success for Norwegian top football clubs
And why profit making is difficult for European football clubs
Author: Fløtnes, Trine Garfjell
Abstract: In this paper, the relationship between the performance level of football teams and certain factors of success has been investigated. Mainly, this has been examined through regression analysis, but also other methods such as correlation analysis has been used in some parts of the analysis. The data which is mainly used in these analyses are annual accounts for five selected football clubs over five years, 2006-2010, together with various football statistics from the internet. Much of the data is compiled in Excel and is available on the enclosed CD-ROM. For other parts of this paper, also an interview with a representative from one of the football clubs, Rosenborg BK, is used as a source of information. In addition, the financial situation of European football clubs has been discussed and examined through analysis of the annual accounts. Also here regression analysis has been an important method of investigation. Briefly, the results show that several of the suggested factors of success seems to have an impact of football teams performance level, here represented by the five best teams in the Norwegian elite division, Tippeligaen. Most important of all seems to be player wages and financial resources through operating income. Further, it‟s concluded that that there are several reasons for the financially difficult situation of many European football clubs. Among them are a win-maximizing approach rather than a profit-maximizing approach among European football clubs, and a very high cost level which, despite the high levels of income in many clubs, creates a financially instability. For football clubs it‟s therefore important to find a balance between income and costs, as well as restrict their expenditure, but still manage to maintain competitive advantages by buying players and spend money on wages and investment. In retrospect, it has been known to the author through the work that it had been more appropriate to base parts of this analysis on more observations than what has been done, particularly with respect to adding more football teams to the datasets. The alternative could have been to use more time trying to find a more appropriate analysis method than regression, which is the most widely used method here.
URI: http://hdl.handle.net/10417/2923
Date: 2012-02-20
Pages: 93 s.
Files Size Format View
Datamateriale_b ... tall_kommunerogfylker.xlsx 22.74Kb Microsoft Excel 2007 View/Open
Datamateriale_centralization.xlsx 16.08Kb Microsoft Excel 2007 View/Open
Datamateriale_overview accounting data.xlsx 37.98Kb Microsoft Excel 2007 View/Open
Datamateriale_player wages.xlsx 32.30Kb Microsoft Excel 2007 View/Open
Datamateriale_points vs spectators for RBK.xlsx 22.28Kb Microsoft Excel 2007 View/Open
Datamateriale_regnskapsoversikt_player wages.xlsx 34.85Kb Microsoft Excel 2007 View/Open
datamateriale_source of income RBK.xlsx 13.76Kb Microsoft Excel 2007 View/Open
datamateriale_spectators.xlsx 15.29Kb Microsoft Excel 2007 View/Open
Persons 16-74 year.xlsx 8.077Kb Microsoft Excel 2007 View/Open
sas_population.xlsx 9.227Kb Microsoft Excel 2007 View/Open
spectators-to-population-ratio.xlsx 11.79Kb Microsoft Excel 2007 View/Open
spending of wages in percent of revenues.xlsx 11.79Kb Microsoft Excel 2007 View/Open
Top five based on achived medals.xlsx 11.71Kb Microsoft Excel 2007 View/Open
trine_garfjell_floetnes.pdf 1.227Mb PDF View/Open

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