10.07.2015 Views

Accounting Information System of Tunisian SMEs - Economic ...

Accounting Information System of Tunisian SMEs - Economic ...

Accounting Information System of Tunisian SMEs - Economic ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

2.2. Association entre la complexité du SIC et la performance financière des PMEBeaucoup de travaux se sont penchés sur le lien entre la performance et certains traits del’organisation. Ils se sont intéressés à l’impact de la structure organisationnelle ou strtégiquesur la performance (Nkongolo et al., 1994; Roper, 1998; Rue et Ibrahim, 1998; Smith, 1999;Stoica et Schindehutte, 1999; D’Amboise et al., 2000; Pelham, 2000). Toutefois, peu detravaux se sont intéressées au potentiel rapport entre le SIC de la PME et sa performance((McMahon et Davies, 1994; Gorton, 1999; Orser et al., 2000 ; Lavigne, 1999, 2002 ; Affès etChabchoub, 2007).The study <strong>of</strong> Lavigne (2002) indicates that congruence between different contingency factorsand AIS importance index, as a tool for measuring AIS characteristics, is associated withincreased financial performance <strong>of</strong> <strong>SMEs</strong>. He noted that there is a positive relationshipbetween size <strong>of</strong> <strong>SMEs</strong> and AIS importance which would generate high performance.Moreover, the study <strong>of</strong> Affes and Chabchoub (2007) shows that AIS complexity, measured interms <strong>of</strong> general accounting practices, management control and financial analysis, ispositively associated with increased financial performance basing themselves on the argumentthat accounting information provides managers with an evolutionary state <strong>of</strong> the company andtherefore allows them to quantify and monitor the achievement <strong>of</strong> business objectives, ins<strong>of</strong>aras it is possible to translate them into accounting terms. Thus, management control tools allowmanagers to obtain results consistent with the objectives defined on the basis <strong>of</strong> the bestpossible management <strong>of</strong> resources and abilities in relation to these results and financialanalysis practices. Practices assessed through the use <strong>of</strong> tools <strong>of</strong> investment choices,pr<strong>of</strong>itability evaluation tools and risk evaluation tools allow a better allocation <strong>of</strong> resourcesand respect for the fundamental constraint <strong>of</strong> solvency. Basing ourselves on the featuresdocumented above, we propose to test the hypothesis:H2: There is a significant relationship between AIS complexity and financial performance <strong>of</strong><strong>SMEs</strong>.3. Research MethodologyTo reach the objectives <strong>of</strong> this research, i.e identifying structural and behavioral contingencyfactors likely to influence AIS complexity and highlight a potential relationship between AIScomplexity and financial performance, a survey administered through direct interviews wasconducted with managers <strong>of</strong> <strong>Tunisian</strong> <strong>SMEs</strong>.By referring to the definition <strong>of</strong> <strong>SMEs</strong> according to Bulletin No. 2588 <strong>of</strong> the Financial MarketCouncil (2006): "are considered small and medium enterprises, in accordance with therecommendations <strong>of</strong> the ministerial council held on Monday, March 13, 2006, companieswhose net and real fixed assets doe not reach the following thresholds: Four million dinarswith regard to the amount <strong>of</strong> net fixed assets and 300 people regarding total workforce". Oursample consists <strong>of</strong> 107 legally independent companies belonging to a large range <strong>of</strong> economicactivities as defined by the National Institute <strong>of</strong> Statistics. They have as number <strong>of</strong> employeesbetween 10 and 300 employees, while the amount <strong>of</strong> net fixed assets is less than four milliondinars.Operationalizing the variables in this research is based especially on studies by Lavigne (2002,1999) Chapellier (1994) and Lacombe-Saboly (1994). Among the structural contingencyfactors, we used the following variables: size, age, industry, ownership structure, debt andexport <strong>of</strong> the company.4

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!