Game analysis on the internet + closed-loop supply chain considering the manufacturer's impact on promotional effect
To better understand the promotional effect of manufacturers' brands in Internet reverse supply chain, this research analyzes network platforms recycling as a collection strategy for waste products, which could also support the network take-back platform’s decision making on recycling rate and...
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| Veröffentlicht in: | Operations management research 2023-06, Vol.16 (2), p.992-1002 |
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| creator | Yu, Zhang Khan, Abdul Rehman Zia-ul-haq, Hafiz Muhammad Tianshan, Ma Tanveer, Muhammad Sharif, Arshian |
| description | To better understand the promotional effect of manufacturers' brands in Internet reverse supply chain, this research analyzes network platforms recycling as a collection strategy for waste products, which could also support the network take-back platform’s decision making on recycling rate and manufacturer’s purchasing quantity of waste products from the network take-back platform. It mainly aims to understand and determine optimal decision-making to enhance waste products collection rate in the recycling and remanufacturing process. Specifically, the game model is applied to analyze cooperation between manufacturers and network take-back platforms. In this regard, two scenarios of cooperation are considered, i.e., the manufacturer as the first cooperator and the manufacturer not being a first cooperator for the network take-back platform of waste products collection. Results show that the manufacturer's brand and advertising effect significantly influence product collection rate and profitability. In the case of the second scenario, the size of the existing manufacturers who are in partnership with the network take-back platform are found to have a negative and positive impact on the selling price of new products and profitability, respectively. Hence, it is implied that the manufacturer's reputation or brand can enhance consumers' trust in the take-back platform, thus, ultimately influencing waste products' take-back rate and profitability. |
| doi_str_mv | 10.1007/s12063-022-00311-6 |
| format | Article |
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It mainly aims to understand and determine optimal decision-making to enhance waste products collection rate in the recycling and remanufacturing process. Specifically, the game model is applied to analyze cooperation between manufacturers and network take-back platforms. In this regard, two scenarios of cooperation are considered, i.e., the manufacturer as the first cooperator and the manufacturer not being a first cooperator for the network take-back platform of waste products collection. Results show that the manufacturer's brand and advertising effect significantly influence product collection rate and profitability. In the case of the second scenario, the size of the existing manufacturers who are in partnership with the network take-back platform are found to have a negative and positive impact on the selling price of new products and profitability, respectively. Hence, it is implied that the manufacturer's reputation or brand can enhance consumers' trust in the take-back platform, thus, ultimately influencing waste products' take-back rate and profitability.</description><identifier>ISSN: 1936-9735</identifier><identifier>EISSN: 1936-9743</identifier><identifier>DOI: 10.1007/s12063-022-00311-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Brand image ; Business and Management ; Circular economy ; Closed loops ; Communications software ; Cooperation ; Decision making ; Engineering Economics ; Game theory ; Garbage collection ; Industrial and Production Engineering ; Innovation/Technology Management ; Internet ; Logistics ; Management ; Marketing ; Operations Management ; Operations research ; Operations Research/Decision Theory ; Organization ; Platforms ; Profitability ; Recycling ; Recycling industry ; Remanufacturing ; Supply chains</subject><ispartof>Operations management research, 2023-06, Vol.16 (2), p.992-1002</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>COPYRIGHT 2023 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3586-cbe4c7a0f87fb666311e7476dde82cc043361051a274835f21e99d3d666ef73a3</citedby><cites>FETCH-LOGICAL-c3586-cbe4c7a0f87fb666311e7476dde82cc043361051a274835f21e99d3d666ef73a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12063-022-00311-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12063-022-00311-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Yu, Zhang</creatorcontrib><creatorcontrib>Khan, Abdul Rehman</creatorcontrib><creatorcontrib>Zia-ul-haq, Hafiz Muhammad</creatorcontrib><creatorcontrib>Tianshan, Ma</creatorcontrib><creatorcontrib>Tanveer, Muhammad</creatorcontrib><creatorcontrib>Sharif, Arshian</creatorcontrib><title>Game analysis on the internet + closed-loop supply chain considering the manufacturer's impact on promotional effect</title><title>Operations management research</title><addtitle>Oper Manag Res</addtitle><description>To better understand the promotional effect of manufacturers' brands in Internet reverse supply chain, this research analyzes network platforms recycling as a collection strategy for waste products, which could also support the network take-back platform’s decision making on recycling rate and manufacturer’s purchasing quantity of waste products from the network take-back platform. 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It mainly aims to understand and determine optimal decision-making to enhance waste products collection rate in the recycling and remanufacturing process. Specifically, the game model is applied to analyze cooperation between manufacturers and network take-back platforms. In this regard, two scenarios of cooperation are considered, i.e., the manufacturer as the first cooperator and the manufacturer not being a first cooperator for the network take-back platform of waste products collection. Results show that the manufacturer's brand and advertising effect significantly influence product collection rate and profitability. In the case of the second scenario, the size of the existing manufacturers who are in partnership with the network take-back platform are found to have a negative and positive impact on the selling price of new products and profitability, respectively. 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| subjects | Brand image Business and Management Circular economy Closed loops Communications software Cooperation Decision making Engineering Economics Game theory Garbage collection Industrial and Production Engineering Innovation/Technology Management Internet Logistics Management Marketing Operations Management Operations research Operations Research/Decision Theory Organization Platforms Profitability Recycling Recycling industry Remanufacturing Supply chains |
| title | Game analysis on the internet + closed-loop supply chain considering the manufacturer's impact on promotional effect |
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