{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/84592"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/84592","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Integrated Technology and Product Design Decisions With Market-Based Learning","abstract":"\"It first analyzes the traditional way by which firms improve their knowledge of the market, which has been to devote resources to marketing research to reduce demand uncertainty. It focuses then on firms which learn about consumer preferences through \"\"market-based learning\"\". The analysis is done within a context of a dynamic, stochastic model with Bayesian learning over a finite planning horizon. Analytical results are derived for some special cases of the model. More specifically, the impact of manufacturing flexibility on the firm's design strategy in a single product case over a two-period planning horizon is analyzed. Additional insights are gleaned from a simulation of a more general, multiple product model. The objective of the analysis is to better understand the implications that uncertainty has in the design of both the product line and the process technology and assess the impact that information acquisition has on both marketing and manufacturing decisions. Key ingredients are the proactive dimension of manufacturing flexibility and the role that product line strategies play in the acquisition of market information.\"","abstract_html":""It first analyzes the traditional way by which firms improve their knowledge of the market, which has been to devote resources to marketing research to reduce demand uncertainty. It focuses then on firms which learn about consumer preferences through ""market-based learning"". The analysis is done within a context of a dynamic, stochastic model with Bayesian learning over a finite planning horizon. Analytical results are derived for some special cases of the model. More specifically, the impact of manufacturing flexibility on the firm's design strategy in a single product case over a two-period planning horizon is analyzed. Additional insights are gleaned from a simulation of a more general, multiple product model. The objective of the analysis is to better understand the implications that uncertainty has in the design of both the product line and the process technology and assess the impact that information acquisition has on both marketing and manufacturing decisions. Key ingredients are the proactive dimension of manufacturing flexibility and the role that product line strategies play in the acquisition of market information."","abstract_has_math":false,"creators":["Lucas, Marilyn Therese"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Business Administration","degree_department":null,"school":null,"contributors":["Monahan, George E."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T22:21:47Z","date_published":"2015-09-25T22:21:47Z","updated_at":"2026-07-22T22:26:23Z","subjects":["Business Administration, Management"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI9812688"],"render_values":[{"text":"(MiAaPQ)AAI9812688","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/84592","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Monahan, George E."]},{"key":"dc:creator","label":"Author","values":["Lucas, Marilyn Therese"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T22:21:47Z","10000-01-01","1997"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Business Administration"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Business Administration, Management"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/84592","(MiAaPQ)AAI9812688"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"It first analyzes the traditional way by which firms improve their knowledge of the market, which has been to devote resources to marketing research to reduce demand uncertainty. 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