Digital transformation solutions of entrepreneurial SMEs based on an information error-driven T-spherical fuzzy cloud algorithm |
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| Institution: | 1. College of Economics and Management, Beijing University of Technology, Beijing 100124, China;2. College of Management, Beijing Union University, Beijing 100101, China;3. Muma College of Business, University of South Florida, Tampa, FL 33620, USA;1. Operations Management and Decision Making, Digital Circular Economy for Sustainable Development Goals (DCE-SDG), Jindal Global Business School, O P Jindal Global University, Haryana, India;2. Operations and Supply Chain Management Division Jaipuria Institute of Management, Noida, India;3. School of Management & Entrepreneurship Indian Institute of Technology, Jodhpur, Rajasthan, India;4. University of South Florida, United States;1. Kent Business School, University of Kent, Canterbury, UK;2. Audencia Business School, Nantes, France;3. Kent Business School ,University of Kent (Medway campus), Chatham Maritime, Kent, UK;4. Queen’s Management School, Queen’s University Belfast, Ireland |
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| Abstract: | The digital transformation of enterprises has become an inevitable development trend and one of the key driving forces that promotes the sustainable development of enterprises. However, due to the many obstacles of financial burdens, technical thresholds, and talent shortages, digital transformation has become a challenging task for entrepreneurial Small and Medium-Sized Enterprises (SMEs). Additionally, many competitive digital transformation solutions on the market cause confusion when enterprises must choose one. This study drew a new information error-driven T-spherical fuzzy cloud algorithm to evaluate digital transformation solutions of entrepreneurial SMEs and support its selection. First, an evaluation index system for the digital transformation solution of entrepreneurial SMEs was established from four aspects. Then, a new concept of a T-spherical fuzzy cloud was defined to represent the evaluation information of the indicators. Additionally, a T-spherical Fuzzy Cloud Weighted Heronian Mean (T-SFCWHM) operator was used to aggregate the evaluation information. Afterward, an evaluation and selection decision framework for the digital transformation solution of entrepreneurial SMEs based on the T-SFCWHM operator was developed. Further, a practical example was given to illustrate the effectiveness of the proposed method. Finally, a discussion of the findings in our study was conducted, and the conclusions were summarized. |
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| Keywords: | Digital transformation Entrepreneurial SMEs Evaluation and selection T-spherical fuzzy cloud T-spherical fuzzy cloud weighted Heronian mean operator |
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