Evidence map›Paper›PMID 36090958›Full record

ArticleInternational journal of hospitality management2022

Employees' perception of robots and robot-induced unemployment in hospitality industry under COVID-19 pandemic.

M Omar Parvez, Ali Öztüren, Cihan Cobanoglu, Huseyin Arasli, Kayode K Eluwole

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of hospitality management, 2022. 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. Review
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

5 authors.

M Omar ParvezMuma College of Business, University of South Florida, USA.
Ali ÖztürenFaculty of Tourism, Eastern Mediterranean University, TRNC, Famagusta, Turkey.
Cihan CobanogluMuma College of Business, University of South Florida, USA.
Huseyin ArasliUniversity of Stavanger, Norway.
Kayode K EluwoleDepartment of Gastronomy and Culinary Arts, Faculty of Fine Arts, Istanbul Gelisim University, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of the pandemic is driving the recent upsurge in service automation and the adoption of service robots in the hospitality industry. As service paradigm and customer expectations shift from conventional customized and personalized services towards a digitalized service environment, such customer orientation may favor using service robots at scales that could render service employees redundant. This study aims to answer the above question by investigating service employees' perceptions of service robots. Data solicited from 405 service employees in the United States of America via Amazon's MTurk were analyzed using structural equation modeling. The result revealed that employees' awareness of adopting and using service robots significantly impacts their perception of robot-induced unemployment. Further, results indicated that the perception of robots' social skills significantly influences service employees' perception of robot-induced unemployment. Employee status was found to moderate the relationships mentioned above. Specifically, entry-level employees perceive the unemployment risk more than managers.

Indexed as

HospitalityPerception of robotsRobot-induce unemploymentService robotsTourism

Identifiers

PMID36090958
PMCPMC9444506

What OpenQuestion holds

Textmetadata
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.