The aim of this conceptual article is to present a systematic literature review about the most used and innovative startup valuation methods to define the state of art and future trends on this important topic. Because of the particular features of early-stage companies, it is not easy to find an adequate method to assess their value. Traditional valuation methods are unsuitable for startups. Therefore, over time, academic literature and experienced investors created alternative and innovative valuation models. We analysed the main models, outlining the advantages and limits for each one. The results of our analysis show that there is currently no "perfect" method to assess a startup’s value. Each model discussed has significant limits, and the possibilities for improvement are many. We are witnessing a gradual withdrawal from more arbitrary valuation models, and consciousness is growing towards the idea that to better assess startup’s value, it is necessary to consider three aspects: attention to future forecasts instead of past data, using probability to consider different scenarios, and understanding of and attention to the specific business model of the startup rather than data on comparable companies in the market. Currently, none of the discussed methods integrates these three features harmoniously. We expect that in the near future, the academic literature will develop new valuation methods (or will perfect existing ones) that should consider the three characteristics mentioned previously. In this way, it would be possible to create a more suitable method to assess a startup's value, i.e., a method to reduce uncertainty and that better represents the startup’s value and makes startup company valuation more reliable.

In this article, we build a Quantitative Discretion Index (hereafter referred to as QDI) to identify within the financial statements the most vulnerable areas related to possible opportunistic earnings management (hereafter referred to as EM) practices, with the aim of supporting ethical behaviour in corporate social communications. In order to better explain the QDI construction method, a practical example is implemented, starting from an analysis of the consolidated balance sheet of an Italian listed company operating in the media sector (in 2016). The QDI might be added to the contents of voluntary information provided by companies that pay attention to ethical behaviour and corporate social responsibility. Within each corporate balance sheet, the QDI allows stakeholders to identify the evaluation discretion areas, where any possible EM practices may be more likely and on which it may be more useful for stakeholders to focus their research attention. Business ethics aims to mitigate EM practices in social communications, including voluntary communication. Indeed, the discretional nature of the assessment of financial statements items by the administrative body represents one of the main weaknesses in the activity of mitigating earnings management practices. At present, the literature has dealt with the relations between ethical behaviour and EM; however, the research should also provide tools that can identify and neutralise the possibilities that opportunistic EM practices can be implemented, thus resulting in more ethical business practices.

The valuation of a small or medium-sized enterprise through subjective methods, may not exclude a correct contextualisation of the data forming the information base of the estimate. "Contextualisation" refers to the general overview of all those elements that allow a proper definition of the enterprise's background. All of this serves in the analysis for the correct data necessary for the determination of values such as the economic and financial flows to discount, the timeframe of analysis and the discount rate. Without a correct contextualisation, it is not possible to reach a correct measurement of the company value in accordance with the studies on the "theory of value". After observing that "contextualisation" has not been widely studied till now for the theory of value, the present work analyses the incidence on the measurement of the company value, showing with an empirical case the different results that may be reached on the basis of the contextualisation of data. Hence, a correct "contextualisation" is crucial for the proper valuation of a company. Academic researches should take more carefully into consideration, this aspect concerning the valuation of a company and in particular, define more accurately the implementing rules in the assessment methods.

This paper is a first analysis of the tools required to convert the fiscal data gathered from the management control systems into official guidelines for a long-lasting healthcare governance. This paper proposes some reflections about the peculiarity of the cost monitoring and management systems whose configuration and effectiveness must take into consideration the nature of the information requirement of the management processes addressee.The innovative aspect is to convey all the potential information contained in the cost monitoring systems. In fact, the information represents the subjective aspect, in other words what the reader 'understands' and perceives.These tools may not be analysed from a mere technical point of view, instead they must be considered as essential means to manage complex corporate systems. Using Amaduzzi's theories and following an exploratory approach, this paper proposes some considerations about the tools required to convert the acts of management into (economic) values. Then, these values will convert into acts of management thanks to their capability to meet the information requirement of the governance stakeholders.The analysis carried out highlights the information requirement to satisfy through a series of monitoring and management tools, in order to find organisational and management solutions that are able to combine the need to rationalise the healthcare expenditure and to improve the quality and pertinence of health care services.

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