<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Background and Purpose:</bold> The existing frameworks provide a superficial approach to the evaluation of product competitiveness which reveals the linkage between the level of product competitiveness and quantitative as well as qualitative factors that have the most significant impact thereon. Given this fact, the purpose of this paper is to elaborate a model for evaluating the competitiveness of sunflower packaged oil, considering both quantitative and qualitative factors that may alter it. Further, this model is being implemented to examine the most demanded Ukrainian sunflower oil brands in order to reveal possibilities for enhancing competitiveness.<bold>Design/Methodology/Approach:</bold> The general methodology of the research includes elements of theoretical, empirical, qualitative and quantitative analyses. The theoretical analysis aims to shed light upon a different understanding of “the evaluation of competitiveness”, as well as approaches and tools for analysing it. Empirical analysis focuses on observing official statistical data of the export of sunflower oil and future trends. Qualitative analysis consists in the identification, systematization and description of factors that affect the competitiveness of sunflower oil packaged. In turn, quantitative analysis is based on usage of the Fuzzy logic tool in order to evaluate the impact of complex and partial factors on the level of product competitiveness.<bold>Results:</bold> This paper provides a business case for product competitiveness evaluation of a particular sunflower oil brand. Based on usage of the Fuzzy logic toolkit, the impact of complex and partial factors on competitiveness level was analysed. As a result, simulation of the competitiveness sensitivity of a particular oil brand on relevant complex factors that determine it competitiveness level was presented. This business case may help managers to channel their efforts and resources in the proper particular direction to increase product competitiveness and product positioning on the market.<bold>Conclusion:</bold> The results of this research would be useful to practitioners in their assessment of product competitiveness, modelling future levels, and understanding hidden possibilities for enhancing product competitiveness. The framework offered might be adopted for other types of products.</abstract>

Background and Purpose: The existing frameworks provide a superficial approach to the evaluation of product competitiveness which reveals the linkage between the level of product competitiveness and quantitative as well as qualitative factors that have the most significant impact thereon. Given this fact, the purpose of this paper is to elaborate a model for evaluating the competitiveness of sunflower packaged oil, considering both quantitative and qualitative factors that may alter it. Further, this model is being implemented to examine the most demanded Ukrainian sunflower oil brands in order to reveal possibilities for enhancing competitiveness.Design/Methodology/Approach: The general methodology of the research includes elements of theoretical, empirical, qualitative and quantitative analyses. The theoretical analysis aims to shed light upon a different understanding of “the evaluation of competitiveness”, as well as approaches and tools for analysing it. Empirical analysis focuses on observing official statistical data of the export of sunflower oil and future trends. Qualitative analysis consists in the identification, systematization and description of factors that affect the competitiveness of sunflower oil packaged. In turn, quantitative analysis is based on usage of the Fuzzy logic tool in order to evaluate the impact of complex and partial factors on the level of product competitiveness.Results: This paper provides a business case for product competitiveness evaluation of a particular sunflower oil brand. Based on usage of the Fuzzy logic toolkit, the impact of complex and partial factors on competitiveness level was analysed. As a result, simulation of the competitiveness sensitivity of a particular oil brand on relevant complex factors that determine it competitiveness level was presented. This business case may help managers to channel their efforts and resources in the proper particular direction to increase product competitiveness and product positioning on the market.Conclusion: The results of this research would be useful to practitioners in their assessment of product competitiveness, modelling future levels, and understanding hidden possibilities for enhancing product competitiveness. The framework offered might be adopted for other types of products.

Evaluation of Product Competitiveness: A Case Study Analysis

Organizacija

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Evaluation of Product Competitiveness: A Case Study Analysis"}

Background and Purpose: The existing frameworks provide a superficial approach to the evaluation of product competitiveness which reveals the linkage between...

Evaluation of Product Competitiveness: A Case Study Analysis

Online veröffentlicht: 09. Juli 2019

Seitenbereich: 107 - 125

Eingereicht: 09. März 2019

Akzeptiert: 12. Mai 2019

DOI: https://doi.org/10.2478/orga-2019-0008

Schlüsselwörter
product competitiveness, general and partial factors, fuzzy logic

© 2019 Nestor Shpak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Evaluation of Product Competitiveness: A Case Study Analysis

Online veröffentlicht: 09. Juli 2019

Seitenbereich: 107 - 125

Eingereicht: 09. März 2019

Akzeptiert: 12. Mai 2019

DOI: https://doi.org/10.2478/orga-2019-0008

Schlüsselwörterproduct competitiveness, general and partial factors, fuzzy logic

© 2019 Nestor Shpak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
product competitiveness, general and partial factors, fuzzy logic