W artykule dokonano charakterystyki wykorzystania Business Intelligence (BI), rozwiązań Big Data (BD) oraz Competitive Intelligence (CI), omówiono wykorzystanie tychże systemów w działalności organizacji. W dalszej części zaprezentowano wyniki badań dotyczące rozpoznania stopnia, zakresu oraz perspektyw wykorzystania rozwiązań systemów klasy BI, CI oraz Big Data w przedsiębiorstwach województwa śląskiego. Badanie opiera się na: (1) krytycznej analizie literatury przedmiotu dotyczącej BI, CI oraz BD, jak i na (2) prezentacji wybranych wyników badań ankietowych dotyczących wykorzystania wyżej wymienionych rozwiązań informatycznych w organizacjach. W ramach projektu badawczego przeprowadzono badania, które miały charakter bezpośredni i były wykonane za pomocą kwestionariusza ankietowego. Badanie przeprowadzono wśród firm z branży produkcyjnej, usługowej oraz handlowej.
The main aim of the article is to present a theoretically well-grounded discussion on Competitive Intelligence and its computing support. This article is an attempt to answer the following questions: (1) What is the idea of Competitive Intelligence and its computer support? (2) How to use the Competition Profile Matrix (CPM), Business Model Canvas (BMC), Resource Based View (RBV) and Industrial Organization (IO) in competition analysis? (3) What are their advantages for Computer Aided CI? The search for answers to these questions was conducted mainly on the basis of theoretical and empirical research.
Theoretical background: These studies are motivated by three reasons: (1) the Competitive Intelligence (CI) approach is a critical factor in increasing the organization’s ability to monitor and strengthen competitive advantage; (2) too little research has been done on the use of new management theories in the CI approach and (3) there is no research devoted to computer-assisted CI. Purpose of the article: This study proposes a comprehensive framework for extending the CI’s potential in the organization’s activities and its computer-assisted support. The purpose of this article is to develop a new CI construction theory and propose a holistic, conceptual CI model, as well as carry out its initial verification. Research methods: The comprehensive CI model is based on the following theories: (1) Resource-Based View (RBV), Industrial Organization (IO) and Business Model Canvas, which were used for CI design, (2) theories for measuring and validating CI implementation, i.e.: Competitive Profile Matrix (CPM), Industrial Critical Success Factors (ICSF) and (3) theories for integrated computer-assisted CI. The validation of the proposed comprehensive CI model was based on data on the opinions of SUV class users. Main findings: The results obtained during the validation of the CI model show great importance for a comprehensive look at the topic of computer-assisted CI. This contribution is significant because in the literature there are no such studies and conclusions obtained from them. The results obtained and conclusions should be useful for all organizations that need to analyze competitiveness using a comprehensive CI model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.