Submitted:
28 July 2025
Posted:
29 July 2025
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Abstract
Crowdfunding has gained popularity among entrepreneurs who seek funding for their business projects on crowdfunding platforms. The success of these campaigns largely depends on convincing numerous backers to support the fundraising initiative. Effective communication, informed by signalling, persuasion, and attribution theories, is an efficient strategy that attracts potential investors and backers to ensure a campaign’s success. The study assessed how the length of the project description affects the success of crowdfunding projects in Africa. The study utilised econometric techniques such as ordinary least squares and logistic regression models. The unit of analysis comprised 854 African small and medium enterprises and entrepreneurial projects collected from Kickstarter, Indiegogo, and Fundraised databases. The findings show that longer project descriptions and more backers are linked to higher success in crowdfunding. On the other hand, having flexible funding options and setting higher funding targets decreases the likelihood of success. These results support the attribution and persuasion theories, indicating that detailed project descriptions can address information gaps and improve the project’s credibility and trustworthiness. The study adds to the existing body of knowledge by providing a specific understanding of the diverse linguistic and cultural environment. It does so by extensively exploring the linguistic and cultural nuances of word choice and storytelling techniques unique to African crowdfunding campaigns, which contrasts with previous studies. The study offers valuable theoretical and practical insights for entrepreneurs and investors.
Keywords:
1. Introduction
2. Literature Review
3. Research methods and materials
3.1. Dataset Description
- The dependent variable in question is determined by the percentage of the funding goal that has been met. The project is deemed successful if the rate is 100% or higher. The project is classified as unsuccessful if it is less than 100%. Alternatively, the dependent variable can be defined as success, measured by a binary indicator where 1 signifies a successful project, and 0 indicates an unsuccessful one.
- Dependent variable: The dependent variable is defined as success, evaluated using a binary system where 1 indicates a successful project, and 0 signifies an unsuccessful one.
- The independent variables are word description length, spelling error, images, flexible funding, videos and duration. Table 1 below explains all the variables.
4. Findings and Discussion of Results
- OLS regression results
- Logistic regression results
5. Conclusions
Management Implications:
Limitations and Suggestions for Future Research:
6. Patents
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
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| Dependent variables | Measurements |
|---|---|
| Completion ratio (CR) | Ratio of the amount raised over the amount of money requested |
| Success (SC) | The binary variable of 1 if the targeted amount was obtained and 0 otherwise |
| Independent variables | |
| Description length (DL) | Total number of words written on the crowdfunding campaign (Transformed into a log) |
| Spelling errors (SPR) | A dummy variable of 1 if the spelling error is available on the campaign and 0 otherwise |
| Image (IM) | A dummy variable of 1 if the image is available on the website and 0 otherwise |
| Flexible funding (FXF) | A dummy variable of 1 if the crowdfunding campaign is flexible and 0 if it is a fixed funding model |
| Frequently Asked Questions (FAQs) | The number of frequently asked questions on the crowdfunding platform (transformed as log) |
| Targeted amount (TA) | A binary variable of 1 if the target amount is achieved and 0 otherwise |
| Backers (BCK) | The number of supporters who contributed to the project (transformed into a log) |
| Duration (DRN) | The number of days for a campaign to raise funds (transformed into a log) |
| Variables | Observation | Mean | Standard deviation | Minimum | Maximum | Median | Kurtosis | Skewness |
|---|---|---|---|---|---|---|---|---|
| Completion ratio | 850 | 0.161 | 0.735 | 0.000 | 14.585 | 0.000 | 215.66 | 12.588 |
| Description length | 850 | 572.19 | 550.18 | 0.000 | 5779.000 | 446.50 | 16.0082 | 2.5246 |
| Spelling error | 850 | 0.282 | 0.4504 | 0.000 | 1.000 | 0.000 | 1.93510 | 0.9670 |
| Image | 850 | 0.6858 | 0.4644 | 0.000 | 1.000 | 1.000 | 1.64149 | -0.8009 |
| Flexible funding | 850 | 0.7612 | 0.4266 | 0.000 | 1.000 | 1.000 | 2.50094 | -1.2251 |
| Targeted amount | 850 | 4.0735 | 0.8037 | 1.699 | 7.477 | 4.000 | 3.67432 | 0.5179 |
| Frequently asked questions | 850 | 0.1000 | 0.9135 | 0.000 | 13.000 | 0.000 | 120.091 | 10.533 |
| Backers | 850 | 19.662 | 118.54 | 0.000 | 2438.00 | 0.000 | 234.548 | 13.604 |
| Duration | 850 | 44.530 | 17.242 | 2.000 | 67.000 | 46.00 | 1.94235 | -0.4966 |
| Success | 850 | 0.0835 | 0.2768 | 0.000 | 1.000 | 0.000 | 10.0629 | 3.0104 |
| CR | DL | SPR | IM | FXF | TA | FAQ | BCK | DRN | SC | |
|---|---|---|---|---|---|---|---|---|---|---|
| CR | 1.000 | |||||||||
| DL | 0.2252*** | 1.000 | ||||||||
| SPR | -0.0283 | 0.13148*** | 1.000 | |||||||
| IM | 0.099*** | 0.302*** | 0.1035*** | 1.000 | ||||||
| FXF | -0.2098*** | -0.184*** | 0.0934* | -0.1056*** | 1.000 | |||||
| TA | -0.107*** | 0.153*** | -0.0097 | 0.0507 | 0.080** | 1.000 | ||||
| FAQ | 0.151*** | 0.158*** | -0.0258 | 0.074** | -0.1955*** | 0.0195 | 1.000 | |||
| BCK | 0.422*** | 0.205*** | -0.0467 | 0.026590 | -0.1475*** | 0.0583* | 0.195*** | 1.000 | ||
| DRN | -0.1027** | 0.002148 | 0.02072 | 0.041281 | 0.201*** | 0.29*** | -0.0496 | -0.113*** | 1.000 | |
| SC | 0.6053*** | 0.208*** | -0.057* | 0.122*** | -0.2896*** | -0.123*** | 0.246*** | 0.444*** | -0.162*** | 1.000 |
| Hypothesis Variables | OLS Regression (Completion ratio) | Logistic regression (success) |
|---|---|---|
| : Description length (DL) | 0.001***Ϧ(0.04) | 0.0005Ϧ(0.0004) |
| : spelling errors (SPR) | -0.046Ϧ(0.051) | -0.772Ϧ(0.051) |
| : Image (IM) | 0.0811Ϧ(0.051) | 0.5957Ϧ(0.001) |
| : Flexible funding (FXF) | -0.173***Ϧ(0.056) | -1.012**Ϧ(0.462) |
| : Targeted amount (TA) | -0.134***Ϧ(0.0293) | -2.841***Ϧ(0.5159) |
| : frequently asked questions (FAQs) | 0.0272Ϧ(0.025) | 0.0839Ϧ(0.188) |
| : Backers (BCK) | 0.0023***Ϧ(0.001) | 0.0760***Ϧ(0.009) |
| : Duration (DRN) | 0.0001Ϧ(0.001) | 0.0010Ϧ(0.0013) |
| C | 0.6228***Ϧ(0.126) | 5.8782***Ϧ(0.077) |
| Pseudo (McFadden) | 0.6723 | |
| 0.23862 | ||
| DW test | 2.03 | |
| Number of observations | 849 | 849 |
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