How Technology Readiness Influences Behavioral and Purchasing Intention: Serial Multiple Mediating Role of Attitude toward AI and AI-Driven Consumer Chatbot Experience
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Abstract
With the rise of AI in digital consumer experiences, one of the key challenges for businesses is predicting and influencing consumers’ behavioral and purchase intentions in AI-driven interactions. In this regard, there appears to be a knowledge gap in the literature that cannot be determined regarding the effect of technology readiness on behavioral and purchasing intentions and, accordingly, the mediating role of attitude toward AI technology and the AI-driven consumer chatbot experience. Therefore, this research aims to determine the relationships among technology readiness, attitude toward AI technology, AI-driven consumer chatbot experience, behavioral intentions, and purchase intentions. The primary focus of the study is to evaluate the impact of Turkish consumers' technology readiness on behavioral and purchase intentions through the serial multiple mediating roles of attitude toward AI technology and the AI-driven customer chatbot experience. A questionnaire designed in line with the purpose of the research was applied to 423 respondents using AI-driven chatbots during the digital shopping experience. Although technology readiness does not directly affect behavioral and purchase intentions, attitude toward AI technology and the AI-driven consumer chatbot experience play a serial multiple mediating role in the relationship between motivations for technology readiness and purchase intention.
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In many studies, conversion is proxied via self-reported ordering/behavioral intention rather than verified execution.
“In many studies,”
From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [68]
Observed conversion/purchase behavior is positive when friction drops or recommendations fit, but not universal.
“Positive when fric-tion drops or rec-ommendations fit, but not universal”
From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [68]
Behavioral lift appears when systems reduce friction (latency/steps) or improve option fit (recommendation relevance).
“Behavioral lift appears when systems reduce fric-havioral intention rather than verified execution. tion (latency/steps) or improve option fit (recom-mendation relevance).”
From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [68]
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References 95 · Cited by 15
- Authors
- Becan, C., & Çeber, B.
- Affiliations
- Üsküdar University (TR)
- Venue
- Digital Transformation and Society
- Publisher
- Emerald
- Published
- 2025-09-15
- Volume
- 5
- Issue
- 1
- Pages
- 78-104
- ISSN
- 2755-0761 (ISSN-L)
- 2755-077X
- OpenAlex
- W4414261497
- Cited by
- 15
- References
- 95
- Citations by year
- 2026: 13 · 2025: 2
- FWCI
- 6.07
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Digital Transformation and Society (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Keywords
- technology readiness, attitudes toward AI, purchase intention, behavioral intention, online shopping, serial mediation, consumer acceptance of AI, Turkish consumers, emerging markets, customer service chatbots
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