Evolution of service robots in marketing: A relational framework and future research agenda

IF 10.5 1区管理学 Q1 BUSINESS

Journal of Business Research Pub Date : 2025-03-19 DOI:10.1016/j.jbusres.2025.115204

Dominik Mahr , Gaby Odekerken-Schröder , Jenny van Doorn

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引用次数: 0

Abstract

This research explores the evolution of service robots in marketing, examining past developments, current trends, and future directions. It introduces a conceptual framework for categorizing and analyzing diverse contributions in service robot research, providing a structured overview of the field’s development from a relational perspective. Based on this classification, four Guiding Premises (GPs) and corresponding illustrative future scenarios summarize key aspects of this evolving field: 1) Service Robots are relational entities, 2) Human-Robot-Interaction is the locus of value creation, 3) The service robot is part of a constellation of interconnected stakeholders, and 4) Over time, service robots are drivers and subjects of change in value creation. We offer a structured research agenda highlighting underexplored relevant areas, such as the ethical side of human-robot relations, exploring service robots as part of a constellation of relations within the service ecosystem and unfolding relational dynamics over time.

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来源期刊

Journal of Business Research BUSINESS-

CiteScore

20.30

自引率

10.60%

发文量

956

期刊介绍： The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.