2022
DOI: 10.1007/s11192-021-04208-2
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The other side of the coin: The declining of Chinese social science

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Cited by 5 publications
(4 citation statements)
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“…To assess the effectiveness of a range of inputs and outputs, Data Envelopment Analysis (DEA) models that are based on "radial measurements," such as the CCR and BCC (Bian & Yang, 2010) models, likewise models based on non-radial metrics, such as the SBM model, may be utilized to evaluate the efficiency of a variety of inputs and outputs (Chen & He, 2017). [CCR] and [BCC] are abbreviations for the CCR and BCC models, respectively (Chen et al,2022). Radial measurements assume that all components vary proportionately, which is rarely the case.…”
Section: The Methodologies and Framework Of Researchmentioning
confidence: 99%
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“…To assess the effectiveness of a range of inputs and outputs, Data Envelopment Analysis (DEA) models that are based on "radial measurements," such as the CCR and BCC (Bian & Yang, 2010) models, likewise models based on non-radial metrics, such as the SBM model, may be utilized to evaluate the efficiency of a variety of inputs and outputs (Chen & He, 2017). [CCR] and [BCC] are abbreviations for the CCR and BCC models, respectively (Chen et al,2022). Radial measurements assume that all components vary proportionately, which is rarely the case.…”
Section: The Methodologies and Framework Of Researchmentioning
confidence: 99%
“…In conclusion, the slack variables have no longer been considered in maximum cybersecurity performance analyses, which is inconsistent with accurate manufacturing. This is because natural technical performance is the first aspect affecting ordinary cybersecurity performance and whether a typical DEA method or the Malmquist index methodology is correct (Chen et al, 2022). To treat this deficiency, EBM models have been applied to discover the performance of the cybersecurity enterprise (Chen & He, 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…A Pearson correlation test assesses data homogeneity and isotonicity, which ensures the study's validity. As part of this total productivity evaluation, the DEA Malmquist model measures lithium-ion producers' "technical efficiency change (catch-up)" and "technological investment (frontier shift)" [17][18][19][20]. Before proceeding to the next stage, a diversity affinity test is run to double-check the diversity and affinity coefficient indices [16].…”
Section: Phase 2: Data Collection and Analysismentioning
confidence: 99%