Integrated Technology and Product Design Decisions With Market-Based Learning

"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."

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Business Administration

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Lucas, Marilyn Therese

Contributors dc:contributor

• Monahan, George E.

• Business Administration, Management

Language dc:language

eng

Identifier

(MiAaPQ)AAI9812688

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/84592