ORCID: https://orcid.org/0000-0002-1282-0319; Menidjel, Choukri
ORCID: https://orcid.org/0000-0001-8510-800X; Sarstedt, Marko
ORCID: https://orcid.org/0000-0002-5424-4268; Jansson, Johan
ORCID: https://orcid.org/0000-0003-2593-9439 und Urbonavicius, Sigitas
ORCID: https://orcid.org/0000-0003-4176-2573
(2024):
Engaging consumers through artificially intelligent technologies. Systematic review, conceptual model, and further research.
In: Psychology & Marketing, Bd. 41, Nr. 4: S. 880-898
[PDF, 2MB]
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Abstract
While consumer engagement (CE) in the context of artificially intelligent (AI-based) technologies (e.g., chatbots, smart products, voice assistants, or autonomous cars) is gaining traction, the themes characterizing this emerging, interdisciplinary corpus of work remain indeterminate, exposing an important literature-based gap. Addressing this gap, we conduct a systematic review of 89 studies using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach to synthesize the AI-based CE literature. Our review yields three major themes of AI-based CE, including (i) Increasingly accurate service provision through AI-based CE; (ii) Capacity of AI-based CE to (co)create consumer-perceived value, and (iii) AI-based CE's reduced consumer effort in their task execution. We also develop a conceptual model that proposes the AI-based CE antecedents of personal, technological, interactional, social, and situational factors, and the AI-based CE consequences of consumer-based, firm-based, and human-AI collaboration outcomes. We conclude by offering pertinent implications for theory development (e.g., by offering future research questions derived from the proposed themes of AI-based CE) and practice (e.g., by reducing consumer-perceived costs of their brand/firm interactions).
Dokumententyp: | Zeitschriftenartikel |
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Keywords: | consumer engagement (CE); artificially intelligent (AI); PRISMA; AI-based CE |
Fakultät: | Betriebswirtschaft > Institut für Marketing |
Themengebiete: | 300 Sozialwissenschaften > 330 Wirtschaft |
URN: | urn:nbn:de:bvb:19-epub-116235-4 |
ISSN: | 0742-6046 |
Sprache: | Englisch |
Dokumenten ID: | 116235 |
Datum der Veröffentlichung auf Open Access LMU: | 07. Mai 2024, 05:52 |
Letzte Änderungen: | 07. Mai 2024, 05:52 |