Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 389

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation

Open access
Roy, Rajat, Naidoo, Vik·2021·Journal of Business Research

Abstract

Abstract Chatbots are increasingly engaged in retail settings, although research shows that consumers typically prefer engaging with humans over chatbots. Past literature has argued that anthropomorphising chatbots can lead to more effective consumer interactions. The current work further enhances this literature by showing that chatbots can be given human qualities like warmth and competence to enhance positive consumer experiences. However, we find that these exchanges are contingent on consumers’ time orientation. We conduct one pre-test (N = 103), two laboratory experiments (N = 213 and 233) and a third study engaging live chatbot conversations (N = 77) to test the premises of our study. The findings show that present-oriented subjects prefer a warm versus competent chatbot conversation, leading to favourable product decisions. Their counterparts, future-oriented subjects, prefer a competent vs. warm conversation. Brand perceptions further mediate these effects. The findings contribute to the literature on chatbot anthropomorphism and inform managerial decisions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jbusres.2020.12.051

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 54 references

Cited by

See all 389

Metadata

Authors
Roy, R., & Naidoo, V.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2021-03
Volume
126
Pages
23-34
ISSN
0148-2963 (ISSN-L)
OpenAlex
W3116106880
Cited by
389
References
54
FWCI
10.80
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. https://app.cochat.ai/papers/10.1016/j.jbusres.2020.12.051
The paper
Roy, R., & Naidoo, V. (2021). Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.12.051

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.