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Integrated BWM-Entropy weighting and MULTIMOORA method with probabilistic linguistic information for the evaluation of Waste Recycling Apps

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Abstract

Based on the encouragement and increasingly recycling demands of the Chinese governments, online recycling platforms based on B2C, such as loving recycling app, waste recycling alliance app, have emerged as the times require. As an indispensable part of online recycling, recycling app evaluation plays a vital role in user acceptance of the innovative recycling way. As we all know, app evaluation is a typical multiple criteria decision making (MCDM) problem involving many complicated criteria. This paper aims to propose an integrated MCDM method to solve this issue under a probabilistic linguistic context. Firstly, a special evaluation criteria system is constructed for measuring apps’ performance, which includes five main criteria namely technical feature, safety, interface design, basic requirement, service quality, as well as 12 sub-criteria. Then, we integrated the best-worst method (BWM) and entropy method with the probabilistic linguistic term to determine the subjective and objective weights. And then the comprehensive weights are calculated by multiplicative integration method. Afterwards, the MULTIMOORA method with the Borda rule, is used to rank alternatives and identify the optimal recycling app. Finally, the assessment of the four recycling apps’ performance in Beijing is presented to illustrate the validity and rationality of the proposed approach in practical applications.

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Acknowledgements

This research was supported by Natural Science Foundation Of China (Grant No.71871175 and No.71702167), Hebei Natural Science Foundation (Grant No. G2020202008), and Post-funded Project of the National Social Science Foundation (No. 21GLB032).

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Authors and Affiliations

  1. School of Economics and Management, Hebei University of Technology, Tianjin, 300401, China

    Yanfang Ma & Yuanyuan Zhao

  2. School of Economics and Management, Southeast University, Nanjing, Jiangsu, 211189, China

    Xiaoyu Wang

  3. College of Economics and Management, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, China

    Cuiying Feng

  4. School of Management, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China

    Xiaoyang Zhou

  5. LeBow College of Business, Drexel University, Philadelphia, PA, 19104, USA

    Benjamin Lev

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  1. Yanfang Ma
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  2. Yuanyuan Zhao
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  3. Xiaoyu Wang
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  4. Cuiying Feng
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Correspondence to Xiaoyu Wang or Xiaoyang Zhou.

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Appendices

Appendix A

Table 9 The survey data of recycling apps’ performance
Full size table
Table 10 The expert preferences of the criteria of recycling app evaluation
Full size table
Table 11 The collective evaluation matrix of alternatives
Full size table
Table 12 The questionnaire for waste recycling app evaluation
Full size table

Appendix B: The questionnaire for waste recycling apps’ performance

Dear valued residents,

This questionnaire form is designed for the purpose that will help resident to strengthen willingness of participating in online recycling activities. It is designed to evaluate four waste recycling mobile apps with respect to the twelve criteria. In the box of your answer, please write the any number from − 3 to 3 to assess recycling apps’ performance. The number means the linguistic terms S = {− 3 = very bad, − 2 = bad, − 1 = slightly bad, 0 = medium, 1 = slightly good, 2 = good, 3 = very good}. you need to make assessment of app performance according to the linguistic terms. As you are the best one to give the true description about using on-line recycling application, please respond to the following questions frankly and honestly.

Name:

Years of experience:

E-Mail:

Position:

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Ma, Y., Zhao, Y., Wang, X. et al. Integrated BWM-Entropy weighting and MULTIMOORA method with probabilistic linguistic information for the evaluation of Waste Recycling Apps. Appl Intell 53, 813–836 (2023). https://doi.org/10.1007/s10489-022-03377-8

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  • DOI: https://doi.org/10.1007/s10489-022-03377-8

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