Identifying and determining crowdsourcing service strategies: an empirical study on a crowdsourcing platform in China

DOI10.3934/jimo.2021045zbMath1499.90106OpenAlexW3133897881MaRDI QIDQ2673395

Panos M. Pardalos, Qiang Zhang, Xiaoan Tang, Zhanglin Peng, Xu Zhang

Publication date: 9 June 2022

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2021045

zbMATH Keywords

crowdsourcingservice strategyfuzzy analytical Kanoimportance-performance analysisservice quality attribute

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Management decision making, including multiple objectives (90B50)

Related Items (2)

Decision-making for demand signal in crowdsourcing platform ⋮ Deep learning-based recommendation method for top-\(K\) tasks in software crowdsourcing systems

Cites Work

• A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level
• Fuzzy sets

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