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The Marquis de Sade wrote that people behave differently in separate spaces and that, in different environments, they more easily reveal their true predilections. Throughout de Sade's writings, he reveals ways that hidden rooms, closets, castles, brothels, and monasteries can be used as spaces to unleash inner evil. Conveyed within de Sade's writings are ways in which characters actively change their settings in order to create these heterotopias – or spaces that are separate from normal routines. The role that separate spaces play in maintaining alternative behaviors has not been adequately examined in either de Sade's writings or in heterotopia literature. The purpose of this chapter is to explore the inner workings of a heterotopia frozen in time and space – a small town family business. This query merits exploration because the incestuous, atemporal behaviors that de Sade enacted can manifest themselves in family businesses. To examine this facet of family business, a customized methodology will be introduced – the Sadean duography. This manuscript is beneficial to practitioners in family businesses who seek to understand the hazards of inherting or purchasing new businesses, and to scholars in entrepreneurship and organizational studies seeking a deeper understanding of the role of heterotopias, also known as third spaces.

I am trying to reason how cultural entrepreneurship research still could become more cultural, by developing two ideas: (1) that cultural entrepreneurship research describes the scholarly effort to inquire into how concepts, plans, recipes, rules, and instructions govern and are battled in the emergence of the organization-creation process. (2) Second, that this reveals a great affinity between the cultural and the entrepreneurial and that a more literary approach to writing cultural entrepreneurship research holds promise of a more nuanced, imaginative, and thus more cultural entrepreneurship research. In effect, the entrepreneurial process would, culturally understood, be the successful struggle to move beyond the comfortable place of dominant normality (and its assuring roles and templates) into an “un-insured” temporary space of potentialities, attractive to the imaginative mind for its motivating intimacy with hitherto undisclosed value. Most of this comes from re-reading Clifford Geertz’s (1973) The Interpretation of Cultures using Stephen Greenblatt’s (1997) The Touch of the Real as a companion. It brings me to the conclusion that we have never quite been Geertzian, and at least not Geertzian enough.

Obviously affirmative action has had a presence in presidential politics since the Kennedy Administration; however, the focus of this paper is not to chronicle the treatment of affirmative action policy in each presidency since the 1960s, but rather to take a different look at affirmative action from the context of contemporary times during the Obama Administration, with both Clinton and Bush Administrations as reference points.

In addition to noting how the Clinton and Bush Administrations responded to critics of the 50 +  year old policy framework of acting affirmatively, this paper explores how the Obama Administration has advanced access by supporting race-conscious admissions and principles of the diversity rationale.

This paper also argues that the Obama Administration has acted affirmatively by establishing and/or promoting economic policies that seek to address the legacy of poverty, thereby expanding access further.

This chapter conceptualises a link between Industrial Revolution 4.0 (IR 4.0), big data, data science and sustainable tourism.

The author adopts a grounded theory and conceptual approach to endeavour in this exploratory research.

The outcome shows a significant rise of big data in the tourism sector under three major dimensions, i.e. business, governance and research. And, some exemplary evidence of institutions promoting the use of big data and data science for sustainable tourism has been discussed.

The conceptualised interlinkage of concepts like IR 4.0, big data, data science and sustainable development provides a valuable knowledge resource to policy-makers, researchers, businesses and students.