{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/122067"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/122067","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimal pricing model for adoption of new products influenced by peer effects","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms","abstract_has_math":false,"creators":["Wang, Yijin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Bose, Subhonmesh","Dong, Roy"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12","date_published":"2023-12","updated_at":"2026-07-22T22:25:00Z","subjects":["Optimal Control"],"languages":["en","eng"],"rights":["Copyright 2023 Yijin Wang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/122067","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bose, Subhonmesh","Dong, Roy"]},{"key":"dc:creator","label":"Author","values":["Wang, Yijin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-12","2023-12-06"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Optimal Control"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Yijin Wang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/122067"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms","The student, Yijin Wang, accepted the attached license on 2023-12-05 at 14:28.","The student, Yijin Wang, submitted this Thesis for approval on 2023-12-05 at 14:38.","This Thesis was approved for publication on 2023-12-06 at 10:51.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20144 on 2024-03-01 at 13:15:28","The Bass diffusion model describes the dynamics of adoption of a new product in a population of potential customers. We present an optimal pricing model based on the Bass diffusion model which incorporates price. While there are existing models which depend on price, our formulation can be explained using individual utilities, or measures of reward, and in addition, is amenable to mathematical analysis. Namely, the value function, or maximum reward function, is Lipschitz continuous, and the search for the optimal price can be restricted to a bounded set. Furthermore, for a special case of the model parameters, we establish structural properties of the value function that facilitate algorithmic development for finding the optimal pricing strategy to maximize profits from adoption. Finally, we will provide examples of when the sufficient condition to the special case is violated and show that at least some of the desirable properties no longer hold."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Optimal pricing model for adoption of new products influenced by peer effects"]}]}],"canonical_facts":{"dc:contributor":["Bose, Subhonmesh","Dong, Roy"],"dc:creator":["Wang, Yijin"],"dc:date":["2023-12","2023-12-06"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms","The student, Yijin Wang, accepted the attached license on 2023-12-05 at 14:28.","The student, Yijin Wang, submitted this Thesis for approval on 2023-12-05 at 14:38.","This Thesis was approved for publication on 2023-12-06 at 10:51.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20144 on 2024-03-01 at 13:15:28","The Bass diffusion model describes the dynamics of adoption of a new product in a population of potential customers. We present an optimal pricing model based on the Bass diffusion model which incorporates price. While there are existing models which depend on price, our formulation can be explained using individual utilities, or measures of reward, and in addition, is amenable to mathematical analysis. Namely, the value function, or maximum reward function, is Lipschitz continuous, and the search for the optimal price can be restricted to a bounded set. Furthermore, for a special case of the model parameters, we establish structural properties of the value function that facilitate algorithmic development for finding the optimal pricing strategy to maximize profits from adoption. Finally, we will provide examples of when the sufficient condition to the special case is violated and show that at least some of the desirable properties no longer hold."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/122067"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Yijin Wang"],"dc:subject":["Optimal Control"],"dc:title":["Optimal pricing model for adoption of new products influenced by peer effects"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}