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. 2021 Apr 29:1–24. Online ahead of print. doi: 10.1007/s10796-021-10136-6

Table 11.

Measurement scale

Measurement items Reference
Data (Gupta & George, 2016)
 We integrate data for high-value analysis for our business environment (DD1)
 We continuously assess our data for responsible execution (DD2)**
 Our decisions are based on data rather than our instinct (DD3)
 We include fairness in data selection (DD4)
 We use the data set that are relevant to the population (DD5)
Algorithm (Al-quaness et al., 2020)
 We ensure that the design of our algorithms should be explainable (Alg1)**
 We continuously attempt to reduce algorithm biases (Alg2)
 We have a monitoring system for the development of AI systems (Alg3)
 We are sensitive to make the algorithms robust (Alg4)
Individual Ethics
 We are impartial and avoid unfair discrimination (INE1)
 We avoid violation of trust (INE2)
 We deal fairly with people (INE3)
 We respect each person’s autonomy (INE4)
Service-ethics
 We maintain privacy invasion (SRE1) **
 We conceive the AI only after ensuring sufficient understanding of purposes (SRE2)
 We ensure that the responsible entity is apparent (SRE3)
 We conduct an impact assessment to ensure less harmful ways of achieving the objective (SRE4)
Adaptability (Fox & James, 2020)
 We ensure the adaptive performance of intended functions (ADT1)
 We quickly reconfigure our programs as per the requirements(ADT2)
 We resist processing when unexpected harm arises (ADT3)
 We recover when malfunctions occur (ADT4)
Co-operation (Fox & James, 2020)
 We advocate a more thorough mapping of possible collaboration (Cop1)
 We associate with our partners to work in a collaborative environment (Cop2)**
 We take collective action on responsible AI development (Cop3)
Transparency (Fox & James, 2020)
 AI-based processes are transparent to all stakeholders (TRP1)
 We ensure that the people are aware of actions and inferences (TRP2)
 All entities have obligations to procedural fairness (TRP3)
Market Performance (MP) (Ravichandran & Lertwongsatien, 2005)
 We have entered a new market quickly (MKP1)
 We have added news services for the patients quickly (MKP2)
 Our success rate is higher as compared to our competitors (MKP3)
 Our market share has increased (MKP4)
Cognitive Engagement (Cog Eng) (Graffigana et al., 2015)
 I feel comfortable in utilizing AI technologies (Cog1)
 I understand that AI-enabled platforms are essential for health- development (Cog2)
 I believe that AI enabled tools are not risky (Cog3)
 The features offered by AI-enabled tools can be adjusted to fit our need (Cog4)
Instrumental value (INV) (Chen et al., 2017)
 The use of the AI-enabled platform can increase our abilities (INV1)
 The use of the AI-enabled platform can increase our imagination (INV2)
 The use of the AI-enabled platform can inspire our curiosity (INV3)
 The use of the AI-enabled platform can increase our knowledge (INV4)
Terminal value (TNV) (Chen et al., 2017)
 The use of the online streaming platform helps you feel relaxed and happy (TNV1)
 The use of the online streaming platform enhances your confidence (TNV2)
 Family feelings become better after using the online streaming platform (YNV3)
 The use of the online streaming platform matures your view of life (TNV4)

**Exploratory interviews output