| Title |
The SDG relevance-presence map of Hungarian SMEs- The relationship between the SDGs and the three pillar model |
| ID_Doc |
71768 |
| Authors |
Surman, V; Böcskei, E |
| Title |
The SDG relevance-presence map of Hungarian SMEs- The relationship between the SDGs and the three pillar model |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.cesys.2023.100144 |
| Abstract |
Hungary is currently in the early stage of its sustainable development endeavours, with notable strides being made since 2022. The study explores the attitudes of the Hungarian small- and medium-sized enterprises (SMEs) towards the sustainable development goals (SDGs). To achieve this, a two-fold methodology is employed. Firstly, the study utilizes the literature research and the Eurostat database to assess the country's SDG indicators. Secondly, an SME questionnaire is designed to gather relevant information regarding the connected organizational attitudes. To visually illustrate the relevance and the presence of SDGs within Hungarian SMEs, an SDG relevance-presence map is developed, to serve as a crucial milestone for formulating strategies centred around sustainable development in this sector. Based on the results, the SDGs in the operation of SMEs are classified into three groups, which categorization can be clearly connected to the three-pillar model. The research not only elucidates the primary associations, but also provides valuable insights to both policy makers and the Hungarian government. Furthermore, these insights shed light on the elements within which concentrated efforts could yield the greatest improvements for the country. Despite the fact that our research was centred on Hungary, the study underscores the broader applicability of our findings. |
| Author Keywords |
Sustainability; Sustainable development goals (SDG); Company; Three-pillar model; Small-and medium-sized enterprise (SME) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001091583000001 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
https://doi.org/10.1016/j.cesys.2023.100144
|