Evaluating Consumer Preferences for Clothes Dryers

Kevin C. Blommestein () and Tugrul U. Daim ()
Additional contact information
Kevin C. Blommestein: Portland State University
Tugrul U. Daim: Portland State University

Chapter Chapter 12 in Policies and Programs for Sustainable Energy Innovations, 2015, pp 357-381 from Springer

Abstract: Abstract Focus on encouraging the adoption of residential energy efficient appliances over recent years has resulted in major energy savings. Even though clothes dryers account for approximately 4 % of residential energy use in the USA, there is still no energy efficient clothes dryer in the market. There has been a lot of focus recently on the development of energy efficient clothes dryers; however, there is limited research on consumer preferences when purchasing a clothes dryer. These preferences should be taken into account when developing the new clothes dryer technology that may aid in encouraging adoption. This study utilizes the Hierarchical Decision Model (HDM) to capture consumer preferences and to capture the perception of manufacturers on what they think the consumer preferences are. Energy efficiency experts are used to quantify the sub-criteria for each technology and the resulting technology preferences are determined. The two highest consumer preferences were the purchase and installation cost and the operating lifetime. The results for the consumers and the manufacturers mainly align, except for the importance of potential savings, drying cycle time, and operating lifetime. It is determined that the most preferred technology is moisture and temperature sensors for clothes dryers; however, the overall scores for each technology were relatively close to one another.

Keywords: Analytic Hierarchy Process; Heat Pump; Social Network Analysis; Betweenness Centrality; Consumer Preference (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:innchp:978-3-319-16033-7_12

Ordering information: This item can be ordered from
http://www.springer.com/9783319160337

DOI: 10.1007/978-3-319-16033-7_12

Access Statistics for this chapter

More chapters in Innovation, Technology, and Knowledge Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().