2026-09-19T17:21:41Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1222432022-01-13T07:55:19Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Bruce G. Cameron.
Fang, Po-Hsuan.
Massachusetts Institute of Technology. Engineering and Management Program.
System Design and Management Program.
Massachusetts Institute of Technology. Engineering and Management Program
2019-09-17T19:49:56Z
2019-09-17T19:49:56Z
2019
2019
https://hdl.handle.net/1721.1/122243
1119537201
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
50 pages
eng
Massachusetts Institute of Technology
MIT 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
Engineering and Management Program.
System Design and Management Program.
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
application/pdf
2019-09-17T19:49:53Z
Publication
Master
SysDes
unknown
unknown
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<Abstract>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.</Abstract>
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