arbiter
JournalsPricingAccount

Harnessing Artificial Intelligence for Business Competitiveness in Achieving Sustainable Development Goals

Abdelhak Senadjki et al.

Journal of Asia Pacific Business2023https://doi.org/10.1080/10599231.2023.2220603article
AJG 1ABDC C
Weight
0.66

What the paper says

This study investigates Artificial Intelligence (Awareness, Knowledge, Empowerment, Implementation) on competitiveness and the mediating role of innovations (Social Innovation, Environmental Innovation, and Technological Innovation). We employed the Open Innovation theory (OIT). The data from 480 SMEs were analyzed using SmartPLS. The findings elucidate that the relationship between AI (awareness, empowerment, implementation) and competitiveness is positively significant. Also, there is a partial mediation effect between AI awareness and competitiveness. Technological innovation partially mediates between AI (Implementation and Knowledge) and competitiveness. Policymakers should initiate strategies to integrate AI innovations. The study extends the OIT to create new technological, social and environmental innovations.

20 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1080/10599231.2023.2220603

Or copy a formatted citation

@article{abdelhak2023,
  title        = {{Harnessing Artificial Intelligence for Business Competitiveness in Achieving Sustainable Development Goals}},
  author       = {Abdelhak Senadjki et al.},
  journal      = {Journal of Asia Pacific Business},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1080/10599231.2023.2220603},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Harnessing Artificial Intelligence for Business Competitiveness in Achieving Sustainable Development Goals

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.66

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.78 × 0.4 = 0.31
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.