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Customer confusion: product overlap, ambiguous needs, and information overload : an examination of corporate mental models for derivative product creation and their impact on customers / Examination of corporate mental models for derivative product creation and their impact on customers

Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019 / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 49-50). / Companies in highly competitive industries often develop incremental products to meet diverse customer needs or to gain share from competitors. However, in order to help customers to choose between derivatives, companies also present more detailed product specifications or features to their customers, resulting in customer confusion. We categorized customer confusion into three facets: product overlap, ambiguous needs, and information overload and discussed each confusion in three case studies. This thesis presents a theory of mental models for companies facing this issue, and uses three case studies to examine the issue : Groceries (Trader Joes), Wearable Devices (Fitbit), and Semiconductor (Texas Instruments). We conclude that product ambiguity is the dominant type of customer confusion in the grocery retail industry. Trader Joe's has adopted the no sale strategy to mitigate this effect. We identify information overload as the most significant concern in wearable devices from the Fitbit case, where online user reviews supplement specification information. Finally, we find that contextual ambiguity is a huge problem for the customers in the semiconductor industry. Several strategies such as customer support and enhanced web content are identified to reduce this ambiguity. We propose three system diagrams showing how company strategies affect customer confusion regarding different levels of product knowledge and ability to acquire new knowledge. The diagrams shed light on how sales support could intervene effectively, based on the customer type and confusion type. / by Po-Hsuan Fang. / S.M. in Engineering and Management / S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/122243
Date January 2019
CreatorsFang, Po-Hsuan.
ContributorsBruce G. Cameron., Massachusetts Institute of Technology. Engineering and Management Program., System Design and Management Program., Massachusetts Institute of Technology. Engineering and Management Program, System Design and Management Program
PublisherMassachusetts Institute of Technology
Source SetsM.I.T. Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Format50 pages, application/pdf
RightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission., http://dspace.mit.edu/handle/1721.1/7582

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