EconPapers    
Economics at your fingertips  
 

Robots in retail: Rolling out the Whiz

Aric Rindfleisch (), Nobuyuki Fukawa () and Naoto Onzo ()
Additional contact information
Aric Rindfleisch: University of Illinois
Nobuyuki Fukawa: Missouri University of Science & Technology
Naoto Onzo: Waseda University

AMS Review, 2022, vol. 12, issue 3, No 12, 238-244

Abstract: Abstract Robots are increasingly being employed in retail settings to accomplish a wide variety of tasks. In the years ahead, it is expected that most retailers will employ robots in some capacity and that these robots will alter the role of employees and change the nature of customer experience. However, since this revolution is in its early stages, scholarship in this domain is largely forward looking in nature and focused on the future rather than the present. Our research seeks to enrich and extend this literature by examining a recent robot deployment (i.e., the Whiz) across a large Japanese retail chain (i.e., Daiei). Specifically, we report an interview with executives from both Daiei as well as Softbank Robotics (the manufacturer of the Whiz). This interview touches upon a number of interesting topics including, how this robot is currently being deployed, how employees and customers are responding to this robot, and how it impacts store operations and retailer performance. We then reflect upon this interview to offer a set of future research directions. Our article is also accompanied by a commentary by Guha and Grewal (2022, in this issue) that offers additional insights into robots in retail.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s13162-022-00240-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:amsrev:v:12:y:2022:i:3:d:10.1007_s13162-022-00240-4

Ordering information: This journal article can be ordered from
http://www.springer. ... gement/journal/13162

DOI: 10.1007/s13162-022-00240-4

Access Statistics for this article

AMS Review is currently edited by Manjit S. Yadav

More articles in AMS Review from Springer, Academy of Marketing Science
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:amsrev:v:12:y:2022:i:3:d:10.1007_s13162-022-00240-4