Artificial Intelligence in Enhancing Organisational Performance: A Thematic and Factorial Analysis

Organizational performance is a cornerstone for the success of businesses. During the fourth industrial revolution, it is imperative for organizations to prioritize the integration of technological advancements in diverse functions to gain competitive edge. The emergence of AI is imperative for organizations to derive benefits and boost productivity levels for the survival of businesses. The principal aim of research is to gain a comprehensive understand of existing literature through diverse quantitative techniques, including publication trends, authorship patterns, source and keyword analysis, and so on. Furthermore, the objective is to understand the emerging themes through thematic mapping analysis. This research study applied a bibliometrics approach to review scientific literature and assess the current trends. To achieve this, we selected 260 documents from Scopus after applying the necessary filters and utilize the software such as R Studio to analyze the outcome. The outcome of the study is classified into two categories such as performance analysis and science mapping. Performance analysis reveals the pertinent information regarding the most relevant authors, sources, affiliations and countries in existing researches. On the other side, science mapping elucidates the interrelationship between research constituents through keyword and citation analysis. Thematic mapping and factorial analysis conducted to identify the untapped themes such as game theory, workforce dynamics, decision-making, knowledge management, learning systems, robotics, decision support systems, innovative product design, and so in this field of area.