Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship
Abstract Artificial intelligence (AI) chatbots show remarkable abilities across applications. Despite a growing literature, their capability in the field of entrepreneurship is not fully understood. The aim of this study is to empirically evaluate and compare capabilities of five major AI chatbots—G...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
|
| Series: | Journal of Innovation and Entrepreneurship |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13731-025-00527-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849434044857581568 |
|---|---|
| author | Firuz Kamalov David Santandreu Calonge Patrik T. Hultberg Linda Smail Dima Jamali |
| author_facet | Firuz Kamalov David Santandreu Calonge Patrik T. Hultberg Linda Smail Dima Jamali |
| author_sort | Firuz Kamalov |
| collection | DOAJ |
| description | Abstract Artificial intelligence (AI) chatbots show remarkable abilities across applications. Despite a growing literature, their capability in the field of entrepreneurship is not fully understood. The aim of this study is to empirically evaluate and compare capabilities of five major AI chatbots—GPT-3.5, GPT-4, Gemini 1.0, Llama 2, and Claude—in the context of entrepreneurship theory, using a benchmark entrepreneurship test. In particular, the performance of the chatbots on a set of multiple-choice questions, short-answer questions, and essay questions related to entrepreneurship is assessed. The results indicate that GPT-4 delivers the strongest overall performance. Meanwhile, Llama 2 offers precise responses with a significantly lower word count compared to the GPT models. Although chatbots do not always provide correct or precise answers to questions or complex prompts, they still prove to be valuable analytical tools for entrepreneurs. While the study offers compelling insights into chatbots’ grasp of entrepreneurship concepts, the findings are somewhat limited by the scarce availability of data. |
| format | Article |
| id | doaj-art-46c62966514a4e0da979d941c69c5d70 |
| institution | Kabale University |
| issn | 2192-5372 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Innovation and Entrepreneurship |
| spelling | doaj-art-46c62966514a4e0da979d941c69c5d702025-08-20T03:26:48ZengSpringerOpenJournal of Innovation and Entrepreneurship2192-53722025-06-0114112710.1186/s13731-025-00527-3Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurshipFiruz Kamalov0David Santandreu Calonge1Patrik T. Hultberg2Linda Smail3Dima Jamali4School of Engineering, Applied Science and Technology, Canadian University DubaiCenter for Teaching and Learning, Mohamed Bin Zayed University of Artificial IntelligenceDepartment of Economics and Business, Kalamazoo CollegeCollege of Interdisciplinary Studies, Zayed UniversitySchool of Management, Canadian University DubaiAbstract Artificial intelligence (AI) chatbots show remarkable abilities across applications. Despite a growing literature, their capability in the field of entrepreneurship is not fully understood. The aim of this study is to empirically evaluate and compare capabilities of five major AI chatbots—GPT-3.5, GPT-4, Gemini 1.0, Llama 2, and Claude—in the context of entrepreneurship theory, using a benchmark entrepreneurship test. In particular, the performance of the chatbots on a set of multiple-choice questions, short-answer questions, and essay questions related to entrepreneurship is assessed. The results indicate that GPT-4 delivers the strongest overall performance. Meanwhile, Llama 2 offers precise responses with a significantly lower word count compared to the GPT models. Although chatbots do not always provide correct or precise answers to questions or complex prompts, they still prove to be valuable analytical tools for entrepreneurs. While the study offers compelling insights into chatbots’ grasp of entrepreneurship concepts, the findings are somewhat limited by the scarce availability of data.https://doi.org/10.1186/s13731-025-00527-3Large language modelsEntrepreneurshipBusinessChatbotsAIMachine learning |
| spellingShingle | Firuz Kamalov David Santandreu Calonge Patrik T. Hultberg Linda Smail Dima Jamali Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship Journal of Innovation and Entrepreneurship Large language models Entrepreneurship Business Chatbots AI Machine learning |
| title | Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship |
| title_full | Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship |
| title_fullStr | Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship |
| title_full_unstemmed | Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship |
| title_short | Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship |
| title_sort | comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship |
| topic | Large language models Entrepreneurship Business Chatbots AI Machine learning |
| url | https://doi.org/10.1186/s13731-025-00527-3 |
| work_keys_str_mv | AT firuzkamalov comparativeanalysisofleadingartificialintelligencechatbotsinthecontextofentrepreneurship AT davidsantandreucalonge comparativeanalysisofleadingartificialintelligencechatbotsinthecontextofentrepreneurship AT patrikthultberg comparativeanalysisofleadingartificialintelligencechatbotsinthecontextofentrepreneurship AT lindasmail comparativeanalysisofleadingartificialintelligencechatbotsinthecontextofentrepreneurship AT dimajamali comparativeanalysisofleadingartificialintelligencechatbotsinthecontextofentrepreneurship |