Interview questions
| No | Question |
|---|---|
| 1 | Background questions |
| 1.1 | Could you please introduce yourself and your role in the organisation? Department Function |
| 1.2 | Could you please give a brief overview of your organisation and (if possible) its supply chain (upstream and downstream)? Core services Organisational goals (vision/mission) Main network partners |
| 2 | Key discussion questions |
| 2.1 | Big Data and AI — Now that we know more about you and the organisation in general, let’s have a look at Big Data and AI in your organisation. |
| 2.1.1 | What is your understanding of Big Data? |
| 2.1.2 | What type of Big Data do you collect? How? When? Where from? |
| 2.1.3 | Are there any legal or organisational challenges in collecting data? Data ownership? Sharing culture? |
| 2.1.4 | Is data centrally or de-centrally managed? Why? By whom? |
| 2.1.5 | For what purpose is your organisation using Big Data? How does that look exactly? Is it part of core business or supportive? |
| 2.1.6 | How advanced are your Big Data efforts? Implemented? Pilot? In development? |
| 2.1.7 | What kind of AI are you using? How? When? Are you cooperating with an external company for AI? |
| 2.1.8 | For what purpose is your organisation using AI? How does that look exactly? Is it part of core business or supportive? |
| 2.1.9 | How advanced are your AI efforts? Implemented? Pilot? In development? |
| 2.1.10 | Does explainability, transparency and accountability play a crucial role for AI adoption? FAIR principles |
| 2.1.11 | Are Big Data & AI pushed Bottom-Up or Top-Down? Communication between layers Alignment |
| 2.1.12 | What is the next focus regarding Big Data & AI in your organisation? |
| 2.2.1 | How important is the sharing of Big Data for service delivery? Is it needed? Is it common? Is it increasing? |
| 2.2.2 | In which form does the exchange of Big Data take place? Ad-hoc / established processes Regularly / upon request only. |
| 2.2.3 | Are public-private collaborations necessary for Big Data effectiveness? |
| 2.2.4 | What hinders the collaborative efforts for Big Data & AI? Organisational culture and skills Incentives Legal structures |
| 2.2.5 | What do you do to support the collaboration? Interoperability/standardisation Policies Committees |
| 2.2.6 | How does the collaboration take place between the different levels? Regional, national, international. |
| 2.2.7 | What structures are in place to formally arrange collaboration (if any)? Committees Labs |
| 2.2.8 | Are there any trust issues impacting the Big Data integration efforts? Privacy concerns Security concerns Power loss concerns |
| 2.2.9 | Are there any factors enabling/hindering the integration between your organisation and the other party? Organisational Technological Political Legal |
| 2.2.10 | How did the integration in relation to Big Data change in the last 2/3 years? Did collaboration increase or decrease? Are improvements observable (also related to KPIs)? |
| 2.3.1 | Who owns your organisation? Main shareholders Parent company |
| 2.3.2 | How do you receive funding? Customer fees Taxation/Grants |
| 2.3.3 | Goal setting: What is the organisation’s focus? Who sets the agenda? |
| 2.3.4 | Control dimension: What influence do political forces or authorities have compared to market or economic forces? Key influencing factors? |
| 3 | Final insights questions |
| 3.1 | Are there any topics about Big Data, AI and inter-organisational integration that have not been covered in this interview but that you expected or would like to comment on? |
| 3.2 | Do you have any contacts or documents that can provide additional information? |
| 3.3 | Can we contact you in case we have additional questions after transcribing the interview? |
| No | Question |
|---|---|
| 1.1 | Could you please introduce yourself and your role in the organisation? |
| 1.2 | Could you please give a brief overview of your organisation and (if possible) its supply chain (upstream and downstream)? |
| 2.1 | Big Data and AI — Now that we know more about you and the organisation in general, let’s have a look at Big Data and AI in your organisation. |
| 2.1.1 | What is your understanding of Big Data? |
| 2.1.2 | What type of Big Data do you collect? |
| 2.1.3 | Are there any legal or organisational challenges in collecting data? |
| 2.1.4 | Is data centrally or de-centrally managed? |
| 2.1.5 | For what purpose is your organisation using Big Data? |
| 2.1.6 | How advanced are your Big Data efforts? |
| 2.1.7 | What kind of AI are you using? |
| 2.1.8 | For what purpose is your organisation using AI? |
| 2.1.9 | How advanced are your AI efforts? |
| 2.1.10 | Does explainability, transparency and accountability play a crucial role for AI adoption? |
| 2.1.11 | Are Big Data & AI pushed Bottom-Up or Top-Down? |
| 2.1.12 | What is the next focus regarding Big Data & AI in your organisation? |
| 2.2.1 | How important is the sharing of Big Data for service delivery? |
| 2.2.2 | In which form does the exchange of Big Data take place? |
| 2.2.3 | Are public-private collaborations necessary for Big Data effectiveness? |
| 2.2.4 | What hinders the collaborative efforts for Big Data & AI? |
| 2.2.5 | What do you do to support the collaboration? |
| 2.2.6 | How does the collaboration take place between the different levels? |
| 2.2.7 | What structures are in place to formally arrange collaboration (if any)? |
| 2.2.8 | Are there any trust issues impacting the Big Data integration efforts? |
| 2.2.9 | Are there any factors enabling/hindering the integration between your organisation and the other party? |
| 2.2.10 | How did the integration in relation to Big Data change in the last 2/3 years? |
| 2.3.1 | Who owns your organisation? |
| 2.3.2 | How do you receive funding? |
| 2.3.3 | Goal setting: What is the organisation’s focus? Who sets the agenda? |
| 2.3.4 | Control dimension: What influence do political forces or authorities have compared to market or economic forces? |
| 3.1 | Are there any topics about Big Data, AI and inter-organisational integration that have not been covered in this interview but that you expected or would like to comment on? |
| 3.2 | Do you have any contacts or documents that can provide additional information? |
| 3.3 | Can we contact you in case we have additional questions after transcribing the interview? |
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