Artificial Intelligence and Cognitive Computing in Companies in Portugal: An Outcome of Partial Least Squares—Structural Equations Modeling

Renato Lopes da Costa, Varun Gupta (), Rui Gonçalves, Álvaro Dias, Leandro Pereira and Chetna Gupta
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Renato Lopes da Costa: Business Research Unit, ISCTE Business School, Instituto Universitario de Lisboa, 1649-026 Lisbon, Portugal
Varun Gupta: Multidisciplinary Research Centre for Innovations in SMEs (MrciS), GISMA University of Applied Sciences, 14469 Potsdam, Germany
Rui Gonçalves: Business Research Unit, ISCTE Business School, Instituto Universitario de Lisboa, 1649-026 Lisbon, Portugal
Álvaro Dias: Business Research Unit, ISCTE Business School, Instituto Universitario de Lisboa, 1649-026 Lisbon, Portugal
Leandro Pereira: Business Research Unit, ISCTE Business School, Instituto Universitario de Lisboa, 1649-026 Lisbon, Portugal
Chetna Gupta: Department of Computer Science& Engineering and Information Technology, Jaypee Institute of Information Technology (JIIT), Noida 201306, India

Mathematics, 2022, vol. 10, issue 22, 1-24

Abstract: Artificial intelligence (AI) and cognitive computing (CC) are different, which is why each technology has its advantages and disadvantages, depending on the task/operation that a business wants to optimize. Nowadays, it is easy to confuse both by simply associating CC with the widespread theme of AI. This way, companies that want to implement AI know that what they want, in most cases, are the features provided by CC. It is important in these situations to know how to differentiate them, so that it is possible to identify in which circumstance one is more suitable than another, to get more out of the benefits that each has to offer. This project focuses on highlighting the capabilities of both technologies, more specifically in business contexts in which the implementation of intelligent systems and the interest of companies in them is favourable. It also identifies which aspects of these technologies are most interesting for companies. Based on this information, it is evaluated whether these aspects are relevant in decision making. Data analysis is carried out by employing partial least squares structural equations modelling (PLS-SEM) and descriptive statistical techniques.

Keywords: artificial intelligence; cognitive computing; business management; intelligent systems; partial least squares structural equations modelling (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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