{"p"=>{"__content__"=>"The research meso-structure follows a clear logic in highlighting the existing body of literature, the main themes, and the gaps within the discipline. Starting from the three pivotal dimensions as performance measurement and management systems (PMMS), artificial intelligence (AI) and decision-making (DM), the investigative strategy goes beyond a traditional systematic and gap analysis approach, establishing a longitudinal examination over an 18-month timeframe from the initial inquiry, enhanced by textual and co-occurrence analyses, performed using both machine-driven and critical human-centric sensitivity. The authors shape the lines of a roadmap that, on one hand, simplifies the navigation of academic contributions and on the other, moves the initial steps toward a formulation of an alternative trajectory capable of injecting new vitality into organizational practice. This objective has been conceptually achieved through the development of a trinomial approach: an integrative model of PMMS, human capital and AI. Starting from PMMS evolutionary paths, the authors depict the potential for enabling organizational performance processes within complex environments. The roadmap helps to understand the reshaping of the human role within the inter-intra-organizational perspective across both private and public sectors in the contemporary context and in the near future of decision-making. This structured view goes beyond the traditional information system logic, involving a hybridized and coordinated action between emerging “disruptive” technologies and human resources. In this way, the human role would find its enhanced expression within a redesigned organizational structure, also and above all, drawing on data interpretation and the entrepreneurial judgment that distinguishes decision-making between risks and opportunities", "i"=>{"__content__"=>"."}}}