scholarly journals The Usage of Artificial Intelligence in Strategic Decision Making in Terms of Fourth Industrial Revolution

2020 ◽  
Author(s):  
Alexey V. Chernov ◽  
Victoria A. Chernova ◽  
Tatiana V. Komarova
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Industrial Revolution ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Fourth Industrial Revolution

Economic AI Literacy

2021 ◽  
pp. 135-152
Author(s):  
Dirk Nicolas Wagner
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Competitive Advantage ◽  
Business Models ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Information Goods ◽  
Economic Agents ◽  
Business Transformation ◽  
Economic Reasoning

This chapter introduces the concept of economic AI literacy as a source of competitive advantage in a world where artificial intelligence (AI) complements and transforms business models. The purpose of economic AI literacy is to allow for enhanced strategic decision making in firms that either offer and/or use AI. Data and information goods, economics of networks, and economic agents in artificially intelligent firms are introduced as basic elements of economic AI literacy. To illustrate application, the case of TensorFlow and related cases are presented. The discussion highlights the strategic relevance of economic reasoning in the light of the expected effects of AI on business transformation.

scholarly journals How Artificial Intelligence can make Competition more Intelligent

2020 ◽  
pp. 1-11
Author(s):  
Allal MOKEDDEM
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Know How ◽  
Intangible Resources ◽  
Learning Techniques ◽  
Competition Rules ◽  
Conceptual Study ◽  
Intelligent Approach

A company's environment is constantly changing, new competitive models have appeared, new tangible and intangible resources are being built and new competitive regulations form a new competitive framework which opens the field to new opportunities and new threats. With this dynamic, companies are rushing towards the development of their strategic decision system which must be powerful to follow any material (product and service) or immaterial resource (belief, knowledge, know-how) coming from one of the direct competitors. In this context, a conceptual study is carried out with the objective to analyze the evolution of cognition-based competition using artificial intelligence (AI) technology as a support for strategic decision-making; this is in order to transform the competition into an intelligent mode. The finding is presented in an intelligent approach designed to generate automatic competition rules based on deep learning techniques.

Is Artificial Intelligence a New Dawn or Challenge for Corporate Decision Making?

2019 ◽  
pp. 20-42
Author(s):  
Maria Igorevna Nikishova ◽  
Mikhail E. Kuznetsov
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Big Data ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Decision Making Process ◽  
Fourth Industrial Revolution ◽  
Stakeholder Interaction ◽  
The Board Of Directors

The Fourth Industrial Revolution provides companies with new opportunities, and business picks up allies represented by technologies that can change mechanisms of corporate decision making in corporations. Rapid development of technologies, which allows working more efficiently with information, can lead to the creation of a new system of stakeholder interaction, thanks to better analytics, transparency, and speed of decisions. In this regard, the analyst based on big data with the use of artificial intelligence (AI) is able to significantly affect the quality of decisions. How can the application of AI for analysis of big data be able to influence the decision-making process and to what extent can it influence the system of corporate relationships? To answer this question, the authors will try to describe how transformation of decision-making methodology at the Board of Directors level under the influence of the Fourth Industrial Revolution and the development of AI technologies and big data, and what are the opportunities, limitations, and risks of the decision-making process with AI.

scholarly journals Artificial Intelligence potential within airlines: a review on how AI can enhance strategic decision-making in times of COVID-19

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Darío Pérez-Campuzano ◽  
Patricio Morcillo Ortega ◽  
Luis Rubio Andrada ◽  
Antonio López-Lázaro
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Network Models ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Practical Implementation ◽  
Training Methods ◽  
Neural Network Models ◽  
Environment Analysis ◽  
Transport Organization

Purpose: Airline strategy relies on the competitive environment analysis and the management of resources. Artificial Intelligence (AI) algorithms are being increasingly deployed throughout several industries. COVID-19 has further stressed a sector where firms have historically struggled to sustain profitability.The purpose is to explore the potential of AI applications regarding strategic decision-making in airlines in times of crisis and to depict a roadmap to encourage scholars and practitioners to jointly implement these tools within corporations.Design/methodology/approach: This study firstly reviews the state-of-the-art regarding transport organization trends with focus on airline strategy and finance as well as AI tools, supported by the collaboration of a former airline digitalization strategist. Secondly, the potential of the latter to be applied in those functions is analyzed, considering different Machine Learning (ML) methods and algorithms.Findings: Some applications or pathways are identified as of particular interest for the airlines’ strategic decision-making process. Most of them are based on ML algorithms and training methods that are currently underused or disregarded in certain business areas, such as Neural Network models for unsupervised market analysis or supervised cost estimation.Research limitations/implications: Focus is on airline strategy and finance, keeping engineering or operational applications out of the scope.Practical implications: Proposed guidance may promote the deployment of AI tools which currently lack practical implementation in certain business areas.Social implications: Showcased guidance may revert into a closer collaboration between business and academia.Originality/value: Comprehensive review of current airlines’ strategic levers and identification of promising AI pathways to be further explored.

The Impact of FinTech on Financial Services in India

2021 ◽  
pp. 191-200
Author(s):  
Gagan Kukreja ◽  
Divij Bahl ◽  
Ruchika Gupta
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Financial Services ◽  
Industrial Revolution ◽  
New Technologies ◽  
Financial Inclusion ◽  
Fourth Industrial Revolution ◽  
High Penetration ◽  
The Impact

Fintech is a new buzz word in the fourth industrial revolution environment. No financial services across the globe are left unaffected by the new technologies. Artificial intelligence, machine learning, blockchain, and data analytics have immensely influenced many aspects of financial services such as deposits, transactions, billings, remittances, credits (B2B and P2P), underwriting, insurance, and so on. Fintech companies are enabling larger financial inclusion, improvement of lives of humans, better decision-making, and lots more. This chapter covers the development, opportunities, and challenges of financial sectors because of new technologies in India. This chapter throws the light on opportunities that emerged because of demographic dividend, high penetration, and access to the latest and affordable technology, affordable cost of smartphones, and government policies such as Digital India, Startup India, Make in India, and so on. Lastly, this chapter portrays the untapped potentials of Fintech in India.

Sign in / Sign up

Export Citation Format

Share Document