Sample and data set of underlying research
| Sample and data set | |
|---|---|
| Country | Germany |
| Industry | Manufacturing industry |
| Innovation consulting | |
| Software consulting | |
| Total interviews | 21 interviews |
| Selection criteria company characteristics |
|
| Selection criteria company Size | SMEs (100%) |
| <250 employees and | |
| < EUR 50 million revenue | |
| Selection criteria interviewees |
|
| Period of data collection | August 2021–November 2022 |
| Total data set | 14 h 7 min |
| Average duration | 37 min 34 s |
| Sample and data set | |
|---|---|
| Country | Germany |
| Industry | Manufacturing industry |
| Innovation consulting | |
| Software consulting | |
| Total interviews | 21 interviews |
| Selection criteria company characteristics | Manufacturing companies (∼62%) due to access to sensor solutions and data Software consulting (∼24%) due to bridging the knowledge gap of Information and Communication technology Innovation management consulting (∼14%) due to establishing value-adding services based on data mining |
| Selection criteria company | SMEs (100%) |
| <250 employees and | |
| < EUR 50 million revenue | |
| Selection criteria interviewees | Strategic top-management perspective (∼43%) Tactical mid-management perspective (∼38%) Shop floor worker (∼19%) |
| Period of data collection | August 2021–November 2022 |
| Total data set | 14 h 7 min |
| Average duration | 37 min 34 s |
Source(s): Authors' own work
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