###### Abstract  
Companies that implement Integrated Management Systems (IMS) require approaches that optimize resources and results. In the case of IMS of a new or emerging nature, the use of dynamics risk analysis approaches and the integration of real-time monitoring data in the risk assessment process offers news perspectives. The objective of this work is to identify and classify leading indicators that facilitate the dynamic analyses of emerging risks in an IMS for quality, environment, and safety. For it, such indicator analysis has been based on a bibliographic analysis. Regarding results, firstly, a structure of indicators emerges configured of three categories organized in two levels. At the first level, it is established by the indicators of the IMS which can be integrated. The second level is configured of two categories of interrelated indicators, that is, process integrity indicators and occupational risks indicators. In turn, each of these three categories has two dimensions. The first dimension represents the direction of the indicator, leading or lagging indicator. The second dimension represents the risk nature, emerging or traditional risk. Secondly, a classification of the leading indicators is derived according to the categories of the indicators and the risk nature. This classification shows the direction of the leading indicators as well as qualitative graduation of the potential associated consequences. Said theoretical framework has been applied to a case study configured by a manufacturing process. Thus, a conceptual scheme has been developed that represents the first step towards a more in-depth and detailed development that allows the identification and definition of specific leading indicators within an IMS from a dynamic and emerging risk perspective.  
d 2021 13 November 2021 18 November 2021 1  
risk of an occupational accident and a major accident can be differentiated; and Systems that address the emerging risk. In the case of risk management systems of a new or emerging nature, the use of dynamics risk analysis approaches and the integration of real-time monitoring data in the risk assessment process offers an optimization opportunity [3].  
Such monitoring process should be integrated into the iterative process PDVA (Plan, Do, Verify, Act) used by organizations to achieve continual improvement [1], this process being the basis of the integration process of management systems [4]. This requires indicators that can be incorporated into the PDVA process from an integrative perspective. These indicators need proactive approaches, especially when risks are emerging given their dynamic characteristics. In general, leading indicators can control risk (proactivity), while lagging indicators simply can report their increase after an unwanted event has occurred (reactivity) [5]. In a safety management context is necessary a continuous focus on lagging indicators of past outcomes, including deficiencies and incidents, and leading indicators of technical, organizational, and human functions that drive safety forward [6].  
In this way, the main objective of this work is to identify and classify leading indicators that facilitate the dynamic analyses of emerging risks in an integrated management system for quality, environment, and safety.  
The structure of this paper is as follows: firstly, an analysis of the indicators has been carried out through a literature review. This analysis has been structured considering the specific areas of safety management, occupational safety, process safety, and approaches to the development of safety/risk indicators. Secondly, the classification of leading indicators has been proposed based on the previous results. Thirdly, said theoretical framework has been applied to a case study configured by a manufacturing process. Finally, such results have been analyzed and discussed.