Examining chatbot usage intention in a service encounter: Role of task complexity, communication style, and brand personality

This study investigates the role of chatbot communication style (task vs. social oriented), task complexity (high vs. low), brand personality (sophisticated vs. sincere), and anthropomorphism on consumer trust and chatbot usage intention. Data is collected through three experiments conducted among US respondents ( N = 328, 200, and 336). The results offer mixed insights as only one experiment supports that task complexity moderates the effect of communication style on trust, such that, task-oriented communication style of the chatbot leads to higher trust under high task complexity conditions. No significant differences in the moderating effect of task complexity on the relationship between communication style and trust is observed between sincere and sophisticated brands. Consistent across the three studies, it is observed that perceived anthropomorphism mediates the effect of communication style on trust which, in turn, affects intention to use the chatbot. The study contributes to literature on AI-enabled conversational agents, human computer interaction, anthropomorphism, and trust. Practically, the study offers insights for managers and service providers who wish to integrate chatbots and other AI enabled technology to enhance service delivery by providing efficient, cost-effective, and consistent support. • The study examines the factors affecting trust in and usage intention of chatbots. • Three experiments test the effect of communication style, task complexity, and anthropomorphism on trust. • One study supports that trust is higher for task (vs. social) oriented communication style for high (vs. low) task complexity. • No significant interaction effect of communication style and task complexity on trust between sophisticated and sincere brands. • Anthropomorphism mediates the effect of social oriented communication style on trust.

Authors

Institutions

Publication Details

Journal
Technological Forecasting and Social Change
Published
2024-10-17
DOI
https://doi.org/10.1016/j.techfore.2024.123806
Citations
16
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
5.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examining chatbot usage intention in a service encounter: Role of task complexity, communication style, and brand personality

Isha Sharma, Pilar Carbonell, Zara Murtaza
16 citations
Technological Forecasting and Social Change
AI in Service Interactions
5.56
article

Examining chatbot usage intention in a service encounter: Role of task complexity, communication style, and brand personality

Isha Sharma, Pilar Carbonell, Zara Murtaza
article en
16 citations

Abstract

This study investigates the role of chatbot communication style (task vs. social oriented), task complexity (high vs. low), brand personality (sophisticated vs. sincere), and anthropomorphism on consumer trust and chatbot usage intention. Data is collected through three experiments conducted among US respondents ( N = 328, 200, and 336). The results offer mixed insights as only one experiment supports that task complexity moderates the effect of communication style on trust, such that, task-oriented communication style of the chatbot leads to higher trust under high task complexity conditions. No significant differences in the moderating effect of task complexity on the relationship between communication style and trust is observed between sincere and sophisticated brands. Consistent across the three studies, it is observed that perceived anthropomorphism mediates the effect of communication style on trust which, in turn, affects intention to use the chatbot. The study contributes to literature on AI-enabled conversational agents, human computer interaction, anthropomorphism, and trust. Practically, the study offers insights for managers and service providers who wish to integrate chatbots and other AI enabled technology to enhance service delivery by providing efficient, cost-effective, and consistent support. • The study examines the factors affecting trust in and usage intention of chatbots. • Three experiments test the effect of communication style, task complexity, and anthropomorphism on trust. • One study supports that trust is higher for task (vs. social) oriented communication style for high (vs. low) task complexity. • No significant interaction effect of communication style and task complexity on trust between sophisticated and sincere brands. • Anthropomorphism mediates the effect of social oriented communication style on trust.

Technological Forecasting and Social ChangeVol. 209
York University (CA), Lahore School of Economics (PK)
Openalex Percentile: Top 4%
AI in Service Interactions
5.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.