Service robots and innovation: An ecosystem approach

Author:

Mahr Dominik1ORCID,Odekerken‐Schröder Gaby1,Steins Mark12

Affiliation:

1. Department of Marketing and Supply Chain Management Maastricht Center for Robots, School of Business and Economics, Maastricht University Maastricht The Netherlands

2. QUT Business School, School of Advertising, Marketing and Public Relations, BEST Centre Queensland University of Technology Brisbane Australia

Abstract

AbstractThe proliferation of service robots has stimulated innovation across industries. These autonomous, physically embodied, and adaptable robots engage in diverse interactions, from patient care to goods delivery and hospitality services. However, the deployment of increasingly capable service robots demands not only designing user–robot interactions, but also holistic innovation management that transcends organizational boundaries and involves various societal stakeholders. Our research draws on the emerging Public Value Theory to examine the types of service robots and the innovation ecosystems that harness the expertise of public and private stakeholders and produce Public Value. Based on literature and an illustrative case study, we conceptualize service robots along characteristics such as autonomy, aesthetics, assistive roles, and user interfaces, and introduce Service Robot‐based Innovation as the ecosystem‐enabled development and employment of such robots. The service robot's autonomy and ecosystem integration are key dimensions determining innovation management practices and Public Value creation. The illustrative case, centered on long‐term care, dissects the integration of service robots across the micro (user), meso (organizational), and macro (societal) levels of the ecosystem. An ecosystem‐as‐structure approach identifies the roles and activities of stakeholders aligning around a shared value proposition of Public Value. A research agenda presents future opportunities within and across various ecosystem levels to advance scholarly understanding of Service Robot‐based Innovation.

Publisher

Wiley

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