Start Date
10-12-2017 12:00 AM
Description
Since its introduction 2004, Service-dominant (SD) logic attracted interest from IS scholars, who increasingly draw on this meta-theoretical lens for their inquiries. This is unsurprising because SD logic provides the necessary vocabulary and assumptions to develop new theoretical insights about service systems, their configurations, and interactions. However, the proliferation of SD logic at large, and its impact within IS research remain underexplored. This makes it difficult to guide future inquiries related to service within IS, or help advance managerial practice. Our present work aims to address this gap in knowledge by using topic modeling to map the evolution of SD logic research from its inception until today. Our approach is systematic, fully replicable, and highlights hidden structures and thematic interdependencies in a text corpus comprising 1,441 articles or 23,568 pages of text. We identify 72 unique topics, track their diffusion across research disciplines, and delineate future opportunities for IS research.
Recommended Citation
Brust, Leona; Breidbach, Christoph; Antons, David; and Salge, Torsten-Oliver, "Service-Dominant Logic and Information Systems Research: A Review and Analysis Using Topic Modeling" (2017). ICIS 2017 Proceedings. 7.
https://aisel.aisnet.org/icis2017/ServiceScience/Presentations/7
Service-Dominant Logic and Information Systems Research: A Review and Analysis Using Topic Modeling
Since its introduction 2004, Service-dominant (SD) logic attracted interest from IS scholars, who increasingly draw on this meta-theoretical lens for their inquiries. This is unsurprising because SD logic provides the necessary vocabulary and assumptions to develop new theoretical insights about service systems, their configurations, and interactions. However, the proliferation of SD logic at large, and its impact within IS research remain underexplored. This makes it difficult to guide future inquiries related to service within IS, or help advance managerial practice. Our present work aims to address this gap in knowledge by using topic modeling to map the evolution of SD logic research from its inception until today. Our approach is systematic, fully replicable, and highlights hidden structures and thematic interdependencies in a text corpus comprising 1,441 articles or 23,568 pages of text. We identify 72 unique topics, track their diffusion across research disciplines, and delineate future opportunities for IS research.