Consumer Perception of Robotic Mobile Fulfillment Systems

Author:

Bentalha Badr1ORCID

Affiliation:

1. National School of Business and Management, Sidi Mohammed Ben Abdellah University, Morocco

Abstract

The chapter aims to understand customer perception after the introduction of robots in the robotic mobile fulfillment system (RMFS) storage areas for Amazon. Based on a netnographic analysis focused on the use of RMFS by the American company Amazon, the work is mainly aimed at improving our understanding of the performance of RMFS and the perception of this technology by customers of service companies in general and retail companies in particular. Improved productivity, reduced operation time, agility and flexibility, improved picking accuracy, optimal space utilization, cost of capital, and work ergonomics are the main motivations perceived and discussed by the virtual community behind the introduction of RMFS in Amazon's storage areas. Several risks of RMFS robotization are discussed based on the qualitative study conducted. Finally, a classification of the customers' perception of this new technology is made by distinguishing the variables of perceived usefulness and ease of use.

Publisher

IGI Global

Reference78 articles.

1. Ackerman, E. (2016). Walmart and Five Elements Robotics Working on Robotic Shopping Cart. IEEE. https://spectrum.ieee.org/automaton/robotics/industrial-robots/walmart-and-five-elementsrobotics-working-on-robotic-shopping-cart

2. Doing Social Research on Online Communities: The Benefits of Netnography

3. Adhikari, R. (2017). Robots May Become Go-To Customer Service Reps. CRM Buyer. https://www.crmbuyer.com/story/84765.html

4. Towards the Internet of Robotic Things: Analysis, Architecture, Components and Challenges

5. Phronetic Netnography Research Design

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3