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This article studies the integration and optimization of green innovation capabilities of enterprises. The integration model of enterprise green innovation capability provides the theoretical basis for cultivating enterprise green innovation capability. However, from the perspective of optimization, in the life cycle of the enterprise, how the ente...
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... Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: ...
... Today, considerable research has been done on green innovation; see the recent survey [15]. The research themes/topics are multi-perspective, covering Sustainability 2022, 14, 10084 3 of 17 management and strategic dimension of green innovation (e.g., green innovation integration [16,17] and adoption [18][19][20] strategy; collaboration [21][22][23] and networking [24,25] in green innovation; green innovation management systems [26], green supply chain management [27,28], etc.); and performance (financial [29][30][31], non-financial [32,33] and both [34]). ...
... Next, according to the maximum target in green innovation ability, we defined FPIRP and FNIRP as v + j = (1, 1, 1) and v − j = (0, 0, 0), respectively. Finally, the distances of each alternative to FPIRP and FNIRP were calculated using Equations (16) and (17), respectively. The closeness coefficient CC was calculated by Equation (18). ...
Currently, enterprises are paying more and more attention to green innovation in order to reduce the negative impact on the environment and achieve sustainable development. Different from evaluating the green innovation ability of enterprises, how to evaluate a person’s green innovation ability from the perspective of open innovation is a new direction. This study aims at proposing a novel framework to evaluate college students’ green innovation ability. First, a set of criteria to evaluate college students’ green innovation ability is determined by experts using the panel consensus approach. Second, the best worst method (BWM) is used to calculate the weights of criteria. Lastly, modified fuzzy technique for order of preference by similarity to ideal solution technique (TOPSIS) technique is adopted to rank college students’ green innovation ability. Moreover, a case study is presented to verify the validity of the proposed method. The results provide implications for academic, industry, and policymakers. Specifically, through the evaluation of college students’ green innovation ability, universities can find the inadequacies in culturing students’ green innovation ability and strengthen education in the aspects corresponding to the criteria with high global weights. Companies can select the talented internship students with green innovation ability as employees and should realize that it is good for them to cultivate college students with universities. Policymakers of the education department can trace the quality of education in college senior students’ green innovation ability every year. In addition, they should pay more attention to establish policies regarding those criteria with high global weights.
