Data collection and triangulation process
| Steps | Description | Details | Outcome |
|---|---|---|---|
| 1. Development of Interview Guide | Preparation of interview framework | Developed based on study objectives and the conceptual framework. Includes open-ended questions on themes such as technological, organizational, environmental, and extended factors of innovation characteristics of entrepreneurs | Interview guide was prepared for pilot and formal interviews |
| 2. Formal Interview Process and Purposive Sampling | Execution of formal interviews | Pilot interviews were conducted with 8 entrepreneurial firms (2 firms from each city, selected through random industry size). An additional 8 firms were included, totaling 16 firms for formal interviews. In-person, semi-structured interviews were held with firms’ owners, managers, and other stakeholders such as freelancers. Locations and times were arranged in advance, with follow-up visits for further observations | Data collection involved 16 firms (8 pilot + 8 formal interviews) |
| 3. Snowball Sampling and Additional Interviews | Expansion through referrals | An additional 4 firms were identified through snowball sampling, bringing the total to 20 firms. Interviews were conducted in person using the same interview guide | The sample was expanded to 20 firms, ensuring more diverse perspectives |
| 4. Triangulation and Saturation | Validation and confirmation | Data saturation was reached after 20 interviews. An additional 8 telephonic interviews were conducted to fill in missing information. Final transcripts were shared with participants for approval | Data saturation was achieved with 28 interviews (20 in-person + 8 telephonic). Findings were validated through triangulation |
| 5. Observational Data | Direct and indirect observations | Observations included cryptocurrency adoption infrastructure, payment acceptance, and online presence of firms. These were cross-verified with interviews, reports, and financial records | Data reliability and validity were enhanced through observational insights and cross-checking |
| Steps | Description | Details | Outcome |
|---|---|---|---|
| 1. Development of Interview Guide | Preparation of interview framework | Developed based on study objectives and the conceptual framework. Includes open-ended questions on themes such as technological, organizational, environmental, and extended factors of innovation characteristics of entrepreneurs | Interview guide was prepared for pilot and formal interviews |
| 2. Formal Interview Process and Purposive Sampling | Execution of formal interviews | Pilot interviews were conducted with 8 entrepreneurial firms (2 firms from each city, selected through random industry size). An additional 8 firms were included, totaling 16 firms for formal interviews. In-person, semi-structured interviews were held with firms’ owners, managers, and other stakeholders such as freelancers. Locations and times were arranged in advance, with follow-up visits for further observations | Data collection involved 16 firms (8 pilot + 8 formal interviews) |
| 3. Snowball Sampling and Additional Interviews | Expansion through referrals | An additional 4 firms were identified through snowball sampling, bringing the total to 20 firms. Interviews were conducted in person using the same interview guide | The sample was expanded to 20 firms, ensuring more diverse perspectives |
| 4. Triangulation and Saturation | Validation and confirmation | Data saturation was reached after 20 interviews. An additional 8 telephonic interviews were conducted to fill in missing information. Final transcripts were shared with participants for approval | Data saturation was achieved with 28 interviews (20 in-person + 8 telephonic). Findings were validated through triangulation |
| 5. Observational Data | Direct and indirect observations | Observations included cryptocurrency adoption infrastructure, payment acceptance, and online presence of firms. These were cross-verified with interviews, reports, and financial records | Data reliability and validity were enhanced through observational insights and cross-checking |
Source(s): Authors’ own creation
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.