Evidence map›Paper›PMID 39386864›Full record

ArticleHeliyon2024

Breaking into the black box of customer perception towards robot service: Empirical evidence from service sector.

Samar Rahi, Mazuri Abd Ghani, Manaf Al-Okaily, Aamir Rashid, Mahmoud Alghizzawi, Fadi Shehab Shiyyab

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Samar RahiUniversiti Sultan Zainal Abidin, Terengganu, Malaysia.
Mazuri Abd GhaniUniversiti Sultan Zainal Abidin, Terengganu, Malaysia.
Manaf Al-OkailySchool of Business, Jadara University, Irbid, Jordan.
Aamir RashidYork College, City University of New York, New York, USA.
Mahmoud AlghizzawiFaculty of Business, Applied Science Private University, Amman, Jordan.
Fadi Shehab ShiyyabSchool of Business, The Hashemite University, Zarqa, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of artificial intelligence and machine learning has enabled robots to serve in consumer market for a better customer experience. Nevertheless, acceptance of robotic technology among consumers is still lacking. Therefore, this study has developed an integrated model with robot appearance, expectation confirmation model, diffusion of innovation and theory of planned behavior and empirically investigates customer intention to use service robot. The research model is empirically tested with 349 responses retrieved from customers visiting retail stores. Statistical results have revealed that customer innovativeness, compatibility, behavioral control, expectation confirmation, service robot appearance and subjective norms explained

Indexed as

Customer innovativenessExpectation confirmationIntention to use service robotPerceived behavioral controlSelf-identityService robotSubjective norms

Identifiers

PMID39386864
PMCPMC11462462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.