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Understanding Norwegian service customers motivations and barriers of service robot adoption

Beck, Paulina; Slubowski, Aksel
Master thesis
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URI
https://hdl.handle.net/11250/3034454
Date
2022
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  • Master of Science [1823]
Abstract
The innovation of artificial intelligent powered service robots has rapidly

revolutionized the service sector by increasing competitiveness and maximizing

efficiency. Therefore, an increasing number of service organizations are employing

service robots to deliver services that advance customer experience. However,

research on customers' psychological motivations and barriers in adoption of

service robots remains fragmented and sparse. Thus, this study specifically analyzes

factors that motivate Norwegian service customers and what barriers impede their

service robot adoption. In this context, service robots are defined as an artificial

intelligence robot that autonomously or semi-autonomously provides personalized

services through interaction with service organizations' customers.

This study aims to improve the Service Robot Acceptance model first introduced

by Wirtz et al (2018) by testing it with functional elements (ease of use, usefulness,

and trust), and enhancing it by introducing rational elements (limited perception,

lack of human interaction and cultural barriers) that influence Norwegian customer

service robot adoption. To answer the research question and hypothesis derived

from literature review, an online survey was distributed through Facebook and

LinkedIn, where 189 representative respondents were attained.

Results from the hierarchical regression analysis provides evidence that factors

such as ease of use and usefulness have a great positive effect that drives Norwegian

service customers adoption of service robots. While trust has no statistical

significance and shows a vital area that needs improvements. Furthermore, this

study shows that all rational elements generate negative effects that impedes

customer adoption of service robots. Lastly, this study elaborates theoretical and

managerial implications with guidance based on this study's findings, in addition to

suggestions for future research.
Description
Masteroppgave(MSc) in Master of Science in Strategic Marketing Management - Handelshøyskolen BI, 2022
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Handelshøyskolen BI

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