EconPapers    
Economics at your fingertips  
 

Consumer value dimensions in conversational and mobile commerce

Carsten D. Schultz () and Saskia Kaiser ()
Additional contact information
Carsten D. Schultz: University of Hagen
Saskia Kaiser: FOM University of Applied Sciences for Economics and Management

Journal of Marketing Analytics, 2025, vol. 13, issue 3, No 3, 587-605

Abstract: Abstract Voice is becoming a frontline interface across the customer journey. However, the role of digital assistants, such as chatbots and voice assistants, in shopping remains underexplored and a comprehensive understanding of the value that these assistants provide is still missing. This study addresses this gap by applying consumption value theory to identify the dimensions influencing the use of such digital assistants for shopping. By integrating this theory into the technology acceptance model, we develop a coherent framework to analyze the values driving digital assistant adoption. The research model highlights the importance of epistemic, conditional, emotional, and functional values in determining the perceived usefulness of digital assistants for shopping, while social value and ease of use are less impactful. Trust positively influences both attitude and behavioral intention, while perceived risk negatively affects attitude but not intention; digital assistants in conversational commerce share similarities with smartphones in mobile shopping. When comparing chatbots and smartphones, trust has a stronger impact on consumer attitudes in mobile shopping. In contrast, perceived usefulness plays a more prominent role in shaping attitudes toward the use of voice assistants rather than chatbots. The empirical findings also highlight significant differences across demographic groups.

Keywords: Chatbots; Consumption value theory; Conversational commerce; Digital assistants; Mobile commerce; Voice assistants; Voice commerce (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41270-025-00383-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:pal:jmarka:v:13:y:2025:i:3:d:10.1057_s41270-025-00383-w

Ordering information: This journal article can be ordered from
http://www.springer. ... gement/journal/41270

DOI: 10.1057/s41270-025-00383-w

Access Statistics for this article

Journal of Marketing Analytics is currently edited by Maria Petrescu and Anjala Krishnen

More articles in Journal of Marketing Analytics from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-10-17
Handle: RePEc:pal:jmarka:v:13:y:2025:i:3:d:10.1057_s41270-025-00383-w