ArticleJournal of business research2021
Research lines on the impact of the COVID-19 pandemic on business. A text mining analysis.
Article in Journal of business research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- A social media competitive intelligence framework for brand topic identification and customer engagement prediction.PloS one · 2024Article
- An attitude-behavioral model to understand people's behavior towards tourism during COVID-19 pandemic.Journal of business research · 2023Article
- The aftermath of Covid-19: The rise of pandemic animosity among consumers and its scale development.Journal of business research · 2023Article
- Increasing global supply chains' resilience after the COVID-19 pandemic: Empirical results from a Delphi study.Journal of business research · 2022Article
- Digital transformation during a pandemic: Stretching the organizational elasticity.Journal of business research · 2022Article
- Changes in the use of mobile devices during the crisis: Immediate response to the COVID-19 pandemic.Computers in human behavior reports · 2022Article
- An analysis of the competitiveness of the tourism industry in a context of economic recovery following the COVID19 pandemic.Technological forecasting and social change · 2022Article
- Exploring customers' responses to online service failure and recovery strategies during Covid-19 pandemic: An actor-network theory perspective.Psychology & marketing · 2021Article
- Strategies for the Preservation of Service Levels in the Inventory Management During COVID-19: A Case Study in a Company of Biosafety Products.Global journal of flexible systems management · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 has brought about a marked slowdown in global economic development. Companies have been forced to adopt new managerial guidelines to adapt to the difficult conditions and to survive in this "new normal". The recent and still scarce literature in this field seeks to provide suitable solutions to prevent irreparable disruption and help strengthen business, but does not apply advanced statistical methods to that end. The aim of this paper is to identify the current research lines developed around COVID-19 and their impact on the business environment, applying text mining methodology. The analysis, which uses statistical software R, focuses on systematic review of studies published in prestigious journals of business and marketing areas. In light of the results obtained, three different areas of intervention were identified. The common thread that runs through all of them is the need to introduce new forms of action to improve citizens' quality of life.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.