Collaborative decision-making research on customized cultural and creative products considering regret avoidance and fairness degree | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Collaborative decision-making research on customized cultural and creative products considering regret avoidance and fairness degree Qinyu Song, Panpan Zhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7106095/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Cultural and creative products(CCPs) have gained significant popularity, with platforms like Amazon experiencing notable growth in such customized product sales. However, a mismatch existing in between consumers' cultural and spiritual needs and the supply of CCPs causes reduced consumer satisfaction, weak market demand, and resource waste, among other effects. To address this, we propose a bilateral matching approach that incorporates regret-averse psychological behaviors and personalized needs of consumers. We calculate consumers' willingness to purchase CCPs based on personalized demand weights and manufacturer evaluations. To enhance matching accuracy, we introduce a difference coefficient to refine the fuzzy representations of both parties, amplifying their differences. We then establish a stable, goal-oriented matching model aimed at maximizing satisfaction for both parties, incorporating fairness to improve the model. We analyze three matching scenarios: focusing on satisfaction, fairness, and both satisfaction and fairness. Our findings indicate that the regret-avoidance coefficient and fairness weight are crucial factors influencing the matching outcome. Effective bilateral matching between CCPs and consumers involves aligning preferences with product characteristics and dynamically adjusting fairness and satisfaction weights for long-term optimization. Finally, we validate the effectiveness and feasibility of our model using real data from the Shanghai Museum online gift shop. JEL: C44;D11;D16;M11 cultural and creative products personalization bilateral matching regret avoidance Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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