Evidence map›Paper›PMID 37484303›Full record

ArticleHeliyon2023

Understanding the factors affecting AI services adoption in hospitality: The role of behavioral reasons and emotional intelligence.

Hafiz Muhammad Wasif Rasheed, Yun Chen, Hafiz Muhammad Usman Khizar, Asif Ali Safeer

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Hafiz Muhammad Wasif RasheedSchool of Management, Department of Business Administration, Huazhong University of Science and Technology (HUST), Wuhan, China.
Yun ChenSchool of Business Administration, Hubei University of Economics, China.
Hafiz Muhammad Usman KhizarSchool of Business Management and Administrative Sciences, The Islamia University of Bahawalpur (IUB), Punjab, Pakistan.
Asif Ali SafeerBusiness School, Huanggang Normal University, Huanggang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the reasons (for and against) the adoption of AI in the hospitality industry among Pakistani customers. The hypothesis was tested using the sample obtained from Pakistani hospitality customers. The data is collected via an online survey and analyzed with the structural equation modeling and PROCESS macro. The study results indicate that cultural values positively associate reasons for, attitudes, and intentions to adopt. Moreover, the results prove that attitude mediates the relationship between reasons (for and against) and intention to adopt AI services in hospitality. Furthermore, the finding shows that customer emotional intelligence has no moderation effect on attitude and intention to adopt AI services. This study highlights technological complexity and safety concerns are the most significant barriers in the studied context. Further, addressing reason against (technological complexity and safety concerns) may allow policymakers to lessen the present customer attitude-intention gap by tackling the factors that cause customers to resist adopting AI services in hospitality. In this respect, marketers should develop a marketing campaign strategy focusing on the benefits of the adoption of AI services in comparison to employee service. This is the first empirical study examining cultural values, reasons (for and against) attitudes, their relationship with intentions, and moderating role of an attractive, important, yet ignored variable, customer emotional intelligence. This study confirms that the behavioral reasoning theory can better describe the customers' adoption behavior of AI services in the hospitality sector.

Indexed as

AdoptionArtificial intelligenceBehavioral reasoning theoryHospitalityReasons

Identifiers

PMID37484303
PMCPMC10361032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.