Prescriptive multi-group networks: Humanoid service robots’ value co-creation and co-destruction potentials in apparel stores

Christina Soyoung Song

Journal of Business Research, 2024, vol. 183, issue C

Abstract: Drawing upon a theoretical foundation within service-dominant logic, this study analyzed multi-group networks of humanoid service robots (HSRs) and investigated the differences in the structures and relations between groups that adopted and rejected HSRs. Moreover, it explored the most important and central predictors in each network among value co-creation and co-destruction potentials. A pretest and the main data collection (n = 474) were conducted with a video-based stimulus in an apparel store. The results revealed that the structure and the three edge-weights in the networks of the groups that adopted and rejected HSRs differed significantly. Essentially, complexity and co-creation enjoyment were central-predictors within the networks. This study offers a comprehensive understanding of value co-creation and co-destruction between customers and technology actors, leading them to adopt and reject HSRs. Furthermore, it provides a pioneering methodological contribution to prescriptive network analytics that makes the network approach more accessible to academics and practitioners.

Keywords: Co-creation; Co-destruction; Humanoid; Network; Prescriptive analytics; Service robot (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296324003278
Full text for ScienceDirect subscribers only

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:eee:jbrese:v:183:y:2024:i:c:s0148296324003278

DOI: 10.1016/j.jbusres.2024.114823

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().