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Human dignity is a crucial concept in international and domestic human rights law. It is understood to be the foundation of human rights, and while we know what human rights are, the nature, content, and grounds of human dignity remain unclear. The aim of this chapter is to propose scientific grounds for human dignity. In this context, the author will explore contemporary evolutionary biology and evolutionary psychology, where it is claimed that human nature is constituted by tendencies to cooperate (Tomasello, 2009), or under a different formulation, by narrow altruism and imperfect prudence (Załuski, 2009). Evolutionary psychology holds that we have basic tendencies to cooperate with one another and to behave altruistically in order to achieve a common good. This means that our basic evolutionary default and scientifically proven mode of being are optimistic and can be labelled as morally good. The author argues that this human nature constitutes scientific grounds for human dignity. The author’s argument holds that since human dignity comprises the inherent worth of every human being, this positive moral fact about the scientifically understood human nature is human dignity. The author then present this issue within two broader philosophical frameworks of analytic philosophy – namely, naturalism (especially methodological naturalism) and metaphysical realism. Following this, the author contends that references to natural sciences in debates on the foundations of human dignity and human rights argue against the strongest objection to human rights – the objection of Western ethnocentrism.

Forecasting is a vital part of hospitality operations because it allows businesses to make imperative decisions, such as pricing, promotions, distribution, scheduling, and arranging facilities, based on the predicted demand and supply. This chapter covers three main concepts related to forecasting: it provides an understanding of hospitality demand and supply, it introduces several forecasting methods for practical application, and it explains yield management as a function of forecasting. In the first section, characteristics of hospitality demand and supply are described and several techniques for managing demand and supply are addressed. In the second section, several forecasting methods for practical application are explored. In the third section, yield management is covered. Additionally, examples of yield management applications from airlines, hotels, and restaurants are presented.

Much of the management research on socially responsible investment (SRI) consists in demonstrating how SRI is good for business and good for society. But the belief that business and market-based strategies will bring positive social and ecological change is far from natural and results in disputes. This study shows how SRI proponents have to develop and combine arguments in order to construct and defend a valid and plausible discourse on SRI that could resist the critiques and appease the disputes resulting from its institutionalization.

We collect articles in the media to identify the SRI controversies. For these disputes, we look at the attempts of SRI to give a robust justification of the particular arrangement it promotes, vis-à-vis a public audience, and we discuss possible resolutions.

SRI focuses on appealing to conventional finance with a market logic, resulting in very few challenges of the legitimacy of the existing institutional order. In a few cases, SRI seeks a resolution based on a competing principles resulting in hybrid constructions of compromises, which could be consolidated by SRI models and tools.

The results contribute to a better understanding of SRI as it is perceived today, and of how the disputes around its mainstreaming may unfold in the future. This helps us clarify our expectations towards SRI and shows that if we want to address shortcomings in finance, we should probably not rely on SRI as it is defined and practiced in the 21st century.

Following the current debate on the importance of external sources of knowledge as predictors of small- and medium-sized enterprises’ (SMEs) performance, this chapter aims to open the black box of the innovation process. Since it is still unclear how and what internal capabilities are involved in that process, this chapter demonstrates the relevant mediating role of knowledge integration mechanisms (KIMs) as facilitators of firms’ innovation. A sample containing 98 Italian SMEs operating in different industries is analyzed to test the proposed theoretical model through a regression analysis. The results suggest that KIMs operate as a full mediator in the relationship between the depth of external knowledge sources and opportunity exploitation. In conclusion, theoretical and managerial ­implications of this study are presented.