An interdisciplinary examination of the evolution of e-commerce recommendation systems: perspectives from management, social science, and psychology

Aman Mathan, Deepak Verma and Divesh Kumar

International Journal of Intelligent Enterprise, 2025, vol. 12, issue 3/4, 230-261

Abstract: The rapid incorporation of digital technologies in businesses poses significant challenges for businesses entrenched in traditional approaches. Conventionally, e-commerce gained popularity for its extensive customer reach, which is no longer sufficient in the current digital era. Nowadays, most e-commerce platforms utilise recommendation systems (RS) supported by complex algorithms and models that influence customers' online product searching and purchase experiences. RS is predominantly associated with information systems (IS) and computer science (CS) research, despite it being a multi-disciplinary field. The majority of the research on RS is concentrated in IS and CS, with a primary focus on methodology and algorithms. This study examines the existing literature on RS in the domains of management, social sciences, and psychology to identify developments that extend beyond methodology and algorithms. The aim is to broaden the scope of the research domain.

Keywords: recommendation systems; recommender agents; e-commerce; product recommendation systems; thematic evolution; literature review; bibliometrics. (search for similar items in EconPapers)
Date: 2025
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