Literature Review on the State of the Art of Social Impact Assessments of Technological Innovations. Main Roadblocks to Measure Social Impact of Technological Innovations

The dataset provides detailed information about the articles included in the study, using the following criteria and data extracted:
1. Name of the Method: The specific method used to measure social impacts.
2. Purpose of the Method: The primary goal or intended outcome of the method.
3. Detailed Description of the Method: A comprehensive explanation of how the method is applied.
4. Brief Overview of the Case Study: A summary of the case study associated with the method.
5. Addressing Social Impacts of Technological Innovations: Whether the method specifically addresses the social impacts related to technological innovations.
6. Degree of Measurement of ISO 26000 Core Subjects: The extent to which the method measures the seven core subjects defined by ISO 26000, rated on a five-level scale (from minimum to high) based on criteria in Table 3.
7. Identified Social Impacts (Positive or Negative): A determination of whether the social impacts identified by the method are positive or negative.
8. Mitigation or Exploitation Strategies: Any strategies mentioned in the article for mitigating negative impacts or exploiting positive ones.
9. Validation of Available Data (Yes/No): Verification of whether the method provides the following information:
9.1. Description of the Method: Clear explanation of the measurement process.
9.2. Required Equipment: The tools and equipment needed for performing the measurement.
9.3. Team Skills and Qualifications: The necessary skills and qualifications of the team conducting the assessment.
9.4. Controlled Environmental Conditions: Factors that need to be managed, such as: Temporal factors: Timing and duration of the assessment, Respondent factors: Considerations of anonymity and confidentiality, Questionnaire design: Clarity and neutrality of the questions used, Sampling methods: Representativeness and randomization of the sample, Data collection: Consistency in the method and technology used.
9.5. Performance Attributes: Information on attributes like measurement uncertainty, stability, maximum permissible error, repeatability, and reproducibility.
This dataset enables a thorough evaluation of the methods used in assessing social impacts and helps identify any gaps in addressing the key principles of social responsibility.