Problem Solving and Budget Allocation of SMEs: Application of NCA Approach

Author:

Bouzari Parisa1,Gyenge Balázs1ORCID,Ebrahimi Pejman2ORCID,Fekete-Farkas Mária3ORCID

Affiliation:

1. Department of Agricultural Logistics, Trade and Marketing, Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences (MATE), Páter Károly Street 1, H-2100 Gödöllő, Hungary

2. Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences (MATE), Páter Károly Street 1, H-2100 Gödöllő, Hungary

3. Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences (MATE), Páter Károly Street 1, H-2100 Gödöllő, Hungary

Abstract

In order to achieve a specific result, a firm’s problem-solving activities can be thought of as a process that combines physical and cognitive actions. Its internal organization determines how information inputs are distributed among different task units and, as a result, how the cognitive workload is distributed. We tested a case study related to Iranian small and medium enterprises (SMEs). We used NCA analysis as a creative and state-of-the-art method with the help of R software to evaluate data. According to the findings, six prerequisites must be met in order to achieve a 50% level of efficient performance: innovation at a minimum of 22.7%, CSR at a minimum of 30.4%, IT investment at a minimum of 56.7%, SMM at a minimum of 38.3%, product differentiation at a minimum of 11.7%, and CRM at a minimum of 38.3%.

Publisher

MDPI AG

Subject

Applied Mathematics,Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference88 articles.

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