Use of Artificial Intelligence in Terms of Open Innovation Process and Management

Abstract

Organizations see open innovation as important to their future growth strategy. The increasing interest in artificial intelligence has led to a heightened interest in its potential applications in many industries. Many firms invest heavily in artificial intelligence intending to innovate their business models, though managers often lack understanding when trying to implement artificial intelligence in their operations. The data was retrieved from the Scopus database and was analyzed using the R Bibliometrix Biblioshiny and VOSviewer software. The aim of the article is to indicate the consistency in the formation of open innovation processes while applying artificial intelligence and to provide the profile of perspectives on artificial intelligence adoption in innovation management. This paper provides a deeper perception of artificial intelligence and how it can be used to drive open innovation processes and business model innovation within the use of artificial intelligence in open innovation processes and artificial intelligence in the management of open innovation. The authors discuss how recent advances in artificial intelligence have created new opportunities for increased external collaboration. The study found that the rise of artificial intelligence as a key technology for promoting openness and collaboration has ushered in a new era of achievable open innovation. Our presented findings suggest the sequence of open innovation processes powered by artificial intelligence and insights into the artificial intelligence application to innovation management.

Co-Creating Value With Artificial Intelligence: A Bibliometric Approach to the Use of AI in Open Innovation Ecosystems

“…The strength of the link between "Internet of Things" and "Blockchain" is also remarkable, as they are two complementary technological developments associated with Industry 4.0. The data generated by Internet connected devices ("Internet of Things") can be registered using "Blockchain", granting their safety and traceability [43], [84]; this data can, in turn, be processed using AI tools, such as machine learning [43] potentially improving the operational and decision making processes both in organizations and "Open Innovation" ecosystems [10]. In this context, the development of "Artificial Intelligence" based tools is leading companies ("Firm") into "Digital Transformation" processes, intended to harness and generate competitive advantages [36], [38].…”

“…Until this moment, just one paper has delivered a review of the literature related with the link between OI and AI [10]. The purpose of that study "is to investigate the research streams of artificial intelligence and digital transformation to provide a deeper understanding of how companies can transform their business processes with artificial intelligence and use artificial intelligence technologies to manage open innovation" [10]. This purpose has led to the inclusion of the term "business model" in the document search, which restricted the analysis to just 23 articles.…”

Company Cybersecurity System: Assessment, Risks and Expectations

“…The industrial revolution provides many business development opportunities (Andrișan and Modreanu, 2022). But its challenges require strategic innovations in technologies such as blockchain, the Internet of Things, intelligent networks, cloud computing, and big data analytics (Kolosok et al, 2022;Wang et al, 2023, Kuzior et al, 2023, Kwilinski and Kuzior, 2020. Also, the transition to a new business model based on digitalization, cyberization, customization, etc., requires changes in human capital (Melnyk et al, 2021a).…”

Integration of Smart City Technology and Business Model Innovation

“…At present, attention has been paid to the relationship between SCT and BMI, such as the contribution of BMI to the development of new food supply chains [9], the integration of the circular economy and digital technology [5], and the application of artificial intelligence to innovation processes [10]. Existing studies adopt a variety of perspectives from the circular economy [5,11]; innovation and management [10,[12][13][14][15]; Industry 4.0 [16][17][18][19][20]; and life cycle [21] to study the demand-supply relationship between SCT and BMI in certain industries and certain technologies. These industries include food [9]; software engineering and financial services [22]; healthcare [23]; and services [18].…”