Anglia Ruskin Research Online (ARRO)
Browse
1/1
2 files

Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic

journal contribution
posted on 2023-08-30, 19:34 authored by Nick Drydakis
The study utilises the International Labor Organization’s SMEs COVID-19 pandemic business risks scale to determine whether Artificial Intelligence (AI) applications are associated with reduced business risks for SMEs. A new 10-item scale was developed to capture the use of AI applications in core services such as marketing and sales, pricing and cash flow. Data were collected from 317 SMEs between April and June 2020, with follow-up data gathered between October and December 2020 in London, England. AI applications to target consumers online, offer cash flow forecasting and facilitate HR activities are associated with reduced business risks caused by the COVID-19 pandemic for both small and medium enterprises. The study indicates that AI enables SMEs to boost their dynamic capabilities by leveraging technology to meet new types of demand, move at speed to pivot business operations, boost efficiency and thus, reduce their business risks.

History

Refereed

  • Yes

Volume

0

Issue number

0

Page range

0

Publication title

Information Systems Frontiers

ISSN

1572-9419

Publisher

Springer

File version

  • Accepted version

Language

  • eng

Legacy posted date

2022-02-10

Legacy creation date

2022-02-10

Legacy Faculty/School/Department

COVID-19 Research Collection

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC