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Human-related risks are practices in a given organization that lead to harmful behaviors that prevent managers and their teams from achieving goals. The purpose of this article is to enable the organization to provide a preventive and simple response to risks in the event that deterioration in employee well-being is detected.

In the literature, many questionnaires based on a variety of metrics have been developed and tested to measure and assess the quality of work life (e.g. stress, commitment, satisfaction, etc.). The approach of this study was to identify the most meaningful items and combine them into a unique score integrated into an effective decision-making module.

A long process of trial and error was necessary to collect confidential information from employees, both anonymously and longitudinally, to measure well-being in the workplace objectively and globally. The unique score generated provides an indication of potential human risk.

This research and its practical implementation have demonstrated the importance of personal-data protection and the need to work harder to maintain employees' digital trust while using a digitized tool.

Development of a new app that was used for the first time to regularly assess ill-being in several companies.

The social implication of this research is to contribute to health policies related to well-being in the workplace.

To the authors’ knowledge, this is the first time that a software module measuring the human risk of an entire company has been embedded in Enterprise Risk Management (ERM).

The purpose of this paper is to investigate the influence of external factors on the Facebook dialogue. As both weather and point in time substantially. As both weather and point in time substantially influence people’s lives, it can be assumed that both factors may also affect communication on Facebook. To the best of the authors’ knowledge, this is the first study focusing on the impact of the external factors “weather” and “point in time” on a public utility’s Facebook communication.

The potential influence is explored through the case study of an Austrian public utility. The study focuses on 321 postings, published via the company’s official Facebook account between August 2016 and February 2018.

The empirical results confirm the influence of “weather” and “point in time” indicators on the stakeholder dialogue. The findings highlight how the relevant items affect the posting behavior of a utility, as well as stakeholders’ reactions, comments and shares.

By introducing both external factors to the social media literature, this paper broadens the understanding of Facebook communications beyond the sender and receiver of digital information. In this way, the research contributes to a more holistic view of Facebook dialogue. It provides practical advice on how social media managers of public utilities may use weather forecasts and “point in time” considerations to more strategically foster stakeholder dialogue in social media.