Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus
<p dir="ltr">This study leverages structured topic modeling (STM) to decode the expansive intellectual corpus on sustainable entrepreneurship, utilizing a dataset of 363 peer-reviewed articles from Scopus over a decade. Focused on “sustainable entrepreneurship” and related terms, the...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513538116026368 |
|---|---|
| author | Muhammad Hassan Abbas (22330390) |
| author2 | Mehmet Bullut (22330393) Hassnian Ali (22330396) |
| author2_role | author author |
| author_facet | Muhammad Hassan Abbas (22330390) Mehmet Bullut (22330393) Hassnian Ali (22330396) |
| author_role | author |
| dc.creator.none.fl_str_mv | Muhammad Hassan Abbas (22330390) Mehmet Bullut (22330393) Hassnian Ali (22330396) |
| dc.date.none.fl_str_mv | 2025-02-03T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10843-025-00387-8 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Decoding_sustainable_entrepreneurship_current_research_and_future_direction_through_application_of_machine_learning-based_structured_topic_modeling_on_intellectual_corpus/30233935 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Business systems in context Strategy, management and organisational behaviour Sustainable entrepreneurship Machine learning Structure topic modeling Future |
| dc.title.none.fl_str_mv | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This study leverages structured topic modeling (STM) to decode the expansive intellectual corpus on sustainable entrepreneurship, utilizing a dataset of 363 peer-reviewed articles from Scopus over a decade. Focused on “sustainable entrepreneurship” and related terms, the STM method integrated document-specific metadata to enhance the analysis of thematic developments. The findings revealed ten distinct topics, such as innovation in firm performance, sustainability in business models, and the role of education in sustainable intentions, highlighting the interplay between these themes and their evolution. This research identifies key thematic areas and examines the influence of source titles and publication years on topic prevalence, indicating shifts in academic focus and identifying emerging trends. The study’s implications suggest integrating sustainability into core business and educational strategies, enhancing the understanding of sustainable entrepreneurship’s dynamic nature, and providing a foundation for future scholarly and practical efforts.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of International Entrepreneurship<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10843-025-00387-8" target="_blank">https://dx.doi.org/10.1007/s10843-025-00387-8</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_fa1d17eb54cb836bc68d82dbd57789b1 |
| identifier_str_mv | 10.1007/s10843-025-00387-8 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30233935 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpusMuhammad Hassan Abbas (22330390)Mehmet Bullut (22330393)Hassnian Ali (22330396)Commerce, management, tourism and servicesBusiness systems in contextStrategy, management and organisational behaviourSustainable entrepreneurshipMachine learningStructure topic modelingFuture<p dir="ltr">This study leverages structured topic modeling (STM) to decode the expansive intellectual corpus on sustainable entrepreneurship, utilizing a dataset of 363 peer-reviewed articles from Scopus over a decade. Focused on “sustainable entrepreneurship” and related terms, the STM method integrated document-specific metadata to enhance the analysis of thematic developments. The findings revealed ten distinct topics, such as innovation in firm performance, sustainability in business models, and the role of education in sustainable intentions, highlighting the interplay between these themes and their evolution. This research identifies key thematic areas and examines the influence of source titles and publication years on topic prevalence, indicating shifts in academic focus and identifying emerging trends. The study’s implications suggest integrating sustainability into core business and educational strategies, enhancing the understanding of sustainable entrepreneurship’s dynamic nature, and providing a foundation for future scholarly and practical efforts.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of International Entrepreneurship<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10843-025-00387-8" target="_blank">https://dx.doi.org/10.1007/s10843-025-00387-8</a></p>2025-02-03T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10843-025-00387-8https://figshare.com/articles/journal_contribution/Decoding_sustainable_entrepreneurship_current_research_and_future_direction_through_application_of_machine_learning-based_structured_topic_modeling_on_intellectual_corpus/30233935CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/302339352025-02-03T03:00:00Z |
| spellingShingle | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus Muhammad Hassan Abbas (22330390) Commerce, management, tourism and services Business systems in context Strategy, management and organisational behaviour Sustainable entrepreneurship Machine learning Structure topic modeling Future |
| status_str | publishedVersion |
| title | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| title_full | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| title_fullStr | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| title_full_unstemmed | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| title_short | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| title_sort | Decoding sustainable entrepreneurship current research and future direction through application of machine learning-based structured topic modeling on intellectual corpus |
| topic | Commerce, management, tourism and services Business systems in context Strategy, management and organisational behaviour Sustainable entrepreneurship Machine learning Structure topic modeling Future |