JISIB-vol-12_Nr-3(2022).pdf


Journal of Intelligence Studies in Business 
Vol. 12 No. 3 (2022) 
Open Access: Freely available at: https://ojs.hh.se/

pp.  4–5

AI-Driven Competitive Intelligence: Enhancing Business Strategy 
and Decision Making

In the world of business, the importance of 
competitive intelligence cannot be overdone. 
As companies compete for market share and 
seek to gain an edge over their competitors, 
understanding the market and their compe-
tition becomes increasingly critical. As arti-

potential to impact competitive intelligence 
grows. Companies can use AI to automate 
data collection and analysis, allowing them 

(Krakowski et al.2022). AI can also be used to 
analyze competitors’ online activities, includ-

and search engine rankings. This allows com-
panies to stay up-to-date with their competition 
and respond quickly to changes in the market.

In this issue, authors will explore the role of 
competitive intelligence in an AI world, exam-
ine practitioners’ thoughts on technological 
advances and the educational needs of their 

intelligence on the hiring process. The use of 

is becoming increasingly popular in compet-
itive intelligence. These technologies can be 
used to automate data collection, analysis, 

-
cient and accurate. There is also a discussion 

intelligence in education research, the effect 
of marketing intelligence adoption on enhanc-

intelligent trading strategies, including inter-
acting trading strategies based on an agent-
based approach.

As technological advances continue to 
change the competitive intelligence landscape, 
practitioners must keep up with the latest 
developments to remain effective. They must 
also ensure that their successors are prepared 
to succeed in an increasingly technology-driven 

world. This requires ongoing education and 
training in areas such as data analysis, AI, and 
machine learning.

AI is also changing the hiring process, allow-
ing companies to use data-driven approaches 
to identify and recruit the best candidates. AI 
can be used to analyze resumes, evaluate can-
didate responses to interview questions, and 
even predict a candidate’s future job perfor-
mance. This allows companies to make more 
informed hiring decisions and reduce the risk 
of hiring the wrong person for the job.

Marketing intelligence can also play a criti-

In the case of banks, marketing intelligence 
can be used to identify new opportunities for 
growth and optimize their marketing efforts to 
reach the right customers. This can help banks 

-
petitive advantage in the market.

are also becoming more intelligent. An agent-
based approach involves using AI to create a 
model of the market and simulate how different 
trading strategies would perform in that mar-
ket. This allows traders to identify the most 
effective strategies and improve their trading 
performance.

In conclusion, the impact of AI on the busi-

grow. Competitive intelligence, in particular, 

practitioners must stay up-to-date with the 
latest technological developments and ensure 
that their successors are prepared for an 
increasingly technology-driven world (Cekuls, 
2022). AI is also impacting the hiring process, 
education research, marketing intelligence, 
and trading strategies, highlighting the need 
for ongoing education and training in these 
and other areas (Stroumpoulis et al, 2022). 
By embracing these technological advances, 

EDITOR’S NOTE VOL 12. NO. 3 (2022)



5

companies can gain a competitive advantage 
and improve their overall performance in 
the market.

REFERENCES

Cekuls, A. (2022). Expand the scope of com-
petitive intelligence. Journal of Intelligence 
Studies in Business, 12(1), pp. 4–5.

-

and big data analytics in smart tourism: a re-
source-based view approach. WIT Transactions 
on Ecology and the Environment, 256, 2022, 
pp. 99–108.

Krakowski, S., Luger, J., Raisch, S. (2022) 
-

es of competitive advantage. Strategic Manage-
ment Journal, 2022.

On behalf of the Editorial Board,

Prof. Dr. Andrejs Cekuls
University of Latvia, Latvia