Table 4 Models and artifact of fsQCA.

From: Research on the realization path of China multi-agent value co-creation in new energy microgrids-based on fsQCA method

Artifact

Description

Evaluation Content

Artifact

Data Collection

Quantitative metrics (e.g., investment amounts, power generation)

Qualitative factors (e.g., policy environment, cooperation models)

Completeness and accuracy

Data quality checks

Data Collection

Fuzzy Set Calibration

Membership scores for each condition variable and outcome variable (ranging from 0 to 1)

Appropriateness and consistency

Validation of membership scores

Fuzzy Set Calibration

Condition Combinations

Condition combinations identified through logical reduction

Logical reduction process

Consistency and coverage metrics

Condition Combinations

Consistency and Coverage Metrics

Consistency: Number of consistent cases/total number of cases

Coverage: Number of consistent cases/total number of outcome cases

Threshold evaluation

Combinations with low consistency and low coverage will be discarded

Consistency and Coverage Metrics

Final Configuration Solutions

Condition combinations that are both consistent and cover a significant portion of the outcome cases

Theoretical and practical significance

Comparison with existing theories and empirical data

Final Configuration Solutions