Evidence map›Paper›PMID 34065212›Full record

ArticleInternational journal of environmental research and public health2021

Crisis Preparedness of Healthcare Manufacturing Firms during the COVID-19 Outbreak: Digitalization and Servitization.

Jingsi Zhang, Liangqun Qi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

6 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
    Article
  4. Review
  5. Review
  6. 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

2 authors at 1 institution in 1 country.

Jingsi ZhangSchool of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China.
Liangqun QiSchool of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China.
Harbin University of Science and Technology · CN

Funding

National Natural Science Foundation of China 72074062 and 71373061
6 · The paper itself

Abstract

For healthcare manufacturing firms, creating a crisis-prepared product and service portfolio and operational processes is essential for their long-term prosperity. In this paper, we examine how healthcare manufacturing firms cope with the operational disruptions and opportunities associated with the COVID-19 pandemic. We highlight the central role of organizational resilience and examine whether servitization and digitalization can improve the organizational resilience of healthcare manufacturing firms. On the basis of the organizational information processing theory, we suggest that servitization and digitalization can improve the stability and flexibility of operations, which make healthcare manufacturing firms more resilient to the COVID-19 pandemic. The hypotheses were tested using survey data from 163 manufacturing firms located in China. The results indicate that both servitization and digitalization improve the organizational resilience of healthcare manufacturing firms, leading to higher firm growth during the COVID-19 pandemic. Moreover, organizational resilience mediates the impacts of servitization and digitalization on firm growth. Environmental dynamism strengthens the relationship between digitalization and organizational resilience. This study offers new insights for healthcare manufacturing firms to prepare for crisis events and achieve sustainable development in a highly competitive environment.

Indexed as

COVID-19PandemicsChinaDelivery of Health CareDisease OutbreaksHumansSARS-CoV-2COVID-19digitalizationhealthcare manufacturing firmsorganizational resilienceservitization

Identifiers

PMID34065212
PMCPMC8160672
OpenAlexW3165752793

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.