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This paper aims to investigate the quality visibility system mode selection method under different information cost structures. The study identifies a principle stating that a \u201chigh expectation of quality does not require high information, while high fluctuation of quality requires high information\u201d in the context of the interplay between two quality dimensions of green products and quality visibility decisions. Furthermore, this study observes a substantial \u201cthreshold\u201d effect associated with the rental fee, which means that equilibrium quality visibility rises with increasing rental fees. However, the misalignment between changes in quality visibility and supplier profits, driven by parameter variations, may lead to suboptimal system mode choices by suppliers. In such cases, retailers can play a pivotal role by using unilateral payment mechanisms to incentivize suppliers to adopt choices that enhance overall supply chain visibility and profitability. This study reveals the mechanism by which quality visibility can help improve pricing decisions and enhance firm performance under the influence of information and cost structures of different system modes, and solves the challenges of mode selection and input decision-making when creating green supply chain quality visibility. By scientifically and reasonably applying the quality visibility system, green enterprises can effectively reduce quality risks and promote the stable and efficient operation of the green supply chain.<\/jats:p>","DOI":"10.1142\/s0219198924400188","type":"journal-article","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T23:13:51Z","timestamp":1733526831000},"source":"Crossref","is-referenced-by-count":2,"title":["Decision-Making for Quality Visibility in Green Supply Chain Based on Blockchain Technology"],"prefix":"10.1142","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5003-125X","authenticated-orcid":false,"given":"Qin","family":"Su","sequence":"first","affiliation":[{"name":"School of Management, State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, 28 Xianning West Road, Xi\u2019an 710049, P. R. 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