Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects

Abstract

Due to their specific characteristics, innovation projects are developed in contexts with great volatility, uncertainty, complexity, and even ambiguity. Project management has needed to adopt changes to ensure success in this type of project. Artificial intelligence (AI) techniques are being used in these changing environments to increase productivity. This work collected and analyzed those areas of technological innovation project management, such as risk management, costs, and deadlines, in which the application of artificial-intelligence techniques is having the greatest impact. With this objective, a search was carried out in the Scopus database including the three areas involved, that is, artificial intelligence, project management, and research and innovation. The resulting document set was analyzed using the co-word bibliographic method. Then, the results obtained were analyzed first from a global point of view and then specifically for each of the domains that the Project Management Institute (PMI) defines in project management. Some of the findings obtained indicate that sectors such as construction, software and product development, and systems such as knowledge management or decision-support systems have studied and applied the possibilities of artificial intelligence more intensively.

Lean Construction Strategies Supported by Artificial Intelligence Techniques for Construction Project Management—A Review

“…Similarly, in [26], the results demonstrate that ML is highly beneficial for construction PM due to its capacity to enhance planning, measurement, performance, and decision-making. In [27], it is demonstrated that AI has a positive impact on risk management, cost efficiency, and time efficiency. It also enhances productivity by overcoming barriers caused by project variability, uncertainty, and complexity.…”

“…Naïve Bayes -NB [59], [71], [76] 6 Random Forest -RF [71], [75], [86], [87] 7 Support Vector Machine -SVM [71], [73], [75], [76], [88], [89] 8…”

“…[34], [36], [47], [58], [73], [75], [76], [82], [83] 2 Quality and Safety Real-time remote monitoring support. High accuracy of generating intelligent reports in time on the development of the construction.…”

How to combine ML and MCDM techniques: an extended bibliometric analysis

“…Bibliometric analysis can be defined as a systematic, popular, and effective method that allows the analysis and inference of studies in the literature based on certain characteristics through a large-scale search using mathematical and statistical techniques [15][16][17]. There are several types of bibliometric analysis, including keyword analysis, content analysis, country analysis, citation analysis, publication year analysis, journal analysis, and author analysis [18].…”