A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector
The global crowdfunding (CF) market was valued at 10.2 billion US$ in 2018 and is expected to almost triple in size by 2025. The CF is evolving as a major and easy source of fundraising methods for various industries. Still, this acceptability is not widely accepted in transportation activities due...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/7071279 |
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| _version_ | 1832563270184075264 |
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| author | Gargi Pant Shukla Santosh Kumar Mukesh Kumar Ankit Kumar Manoj Chhetri |
| author_facet | Gargi Pant Shukla Santosh Kumar Mukesh Kumar Ankit Kumar Manoj Chhetri |
| author_sort | Gargi Pant Shukla |
| collection | DOAJ |
| description | The global crowdfunding (CF) market was valued at 10.2 billion US$ in 2018 and is expected to almost triple in size by 2025. The CF is evolving as a major and easy source of fundraising methods for various industries. Still, this acceptability is not widely accepted in transportation activities due to various limitations and low awareness among policymakers. The present research analyzes the factors contributing to the growth of market acceptability of CF, divided into three different research phases: identifying barriers from the literature, interviews with transport industry experts at two stages, and designing an ISM model in a fuzzy environment. The identification phase led to selecting 16 factors from the past literature and suggesting industrial experts. The Interpretive Structural Modelling (ISM) analysis was used to understand the impact and linkage of identified barriers on seven levels of the fuzzy scale. The factors are classified into four major categories based on the fuzzy matrix's drive and dependence power using Fuzzy MICMAC. The sixteen identified growth factors for CF have been distributed in 5 levels in the ISM designed model. All the factors had fallen in only two quadrants of MICMAC based on the fuzzy scale matrix. Except for No or Low in regulation, the selected fifteen factors fall in the linkage quadrant, with high dependency and driving power. Such relation of all variables is the precise reason for storm growth in the field. “No or Low in regulation” is one of the most significant factors to the growth and acceptance of this innovative fundraising method by common investors but cannot be controlled directly by the associated crowdfunding members in the transport industry. |
| format | Article |
| id | doaj-art-199b61e1af054d5c947ff9e07d1a0b37 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-199b61e1af054d5c947ff9e07d1a0b372025-02-03T01:20:36ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/7071279A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport SectorGargi Pant Shukla0Santosh Kumar1Mukesh Kumar2Ankit Kumar3Manoj Chhetri4Doon Business SchoolJaipuria Institute of ManagementInstitute of Business ManagementGLA UniversityRoyal University of BhutanThe global crowdfunding (CF) market was valued at 10.2 billion US$ in 2018 and is expected to almost triple in size by 2025. The CF is evolving as a major and easy source of fundraising methods for various industries. Still, this acceptability is not widely accepted in transportation activities due to various limitations and low awareness among policymakers. The present research analyzes the factors contributing to the growth of market acceptability of CF, divided into three different research phases: identifying barriers from the literature, interviews with transport industry experts at two stages, and designing an ISM model in a fuzzy environment. The identification phase led to selecting 16 factors from the past literature and suggesting industrial experts. The Interpretive Structural Modelling (ISM) analysis was used to understand the impact and linkage of identified barriers on seven levels of the fuzzy scale. The factors are classified into four major categories based on the fuzzy matrix's drive and dependence power using Fuzzy MICMAC. The sixteen identified growth factors for CF have been distributed in 5 levels in the ISM designed model. All the factors had fallen in only two quadrants of MICMAC based on the fuzzy scale matrix. Except for No or Low in regulation, the selected fifteen factors fall in the linkage quadrant, with high dependency and driving power. Such relation of all variables is the precise reason for storm growth in the field. “No or Low in regulation” is one of the most significant factors to the growth and acceptance of this innovative fundraising method by common investors but cannot be controlled directly by the associated crowdfunding members in the transport industry.http://dx.doi.org/10.1155/2022/7071279 |
| spellingShingle | Gargi Pant Shukla Santosh Kumar Mukesh Kumar Ankit Kumar Manoj Chhetri A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector Journal of Advanced Transportation |
| title | A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector |
| title_full | A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector |
| title_fullStr | A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector |
| title_full_unstemmed | A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector |
| title_short | A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector |
| title_sort | fuzzy ecosystem benchmarking for crowdfunding in transport sector |
| url | http://dx.doi.org/10.1155/2022/7071279 |
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