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Purpose – This chapter investigates vulnerability to poverty in the Republic of Haiti.

Methodology – We use a hierarchical modeling technique to allow the assessment and decomposition of vulnerability to poverty by exploiting the short-panel structure of nested data in a cross section.

Originality – Specifically, a three-level hierarchical model with a partially Bayesian restricted maximum likelihood is used in the estimation procedure. This is novel in this literature.

Findings – The decomposition method adopted in this chapter reveals that vulnerability in the Republic of Haiti is largely a rural phenomenon and is correlated negatively with schooling. The results also disclose the lack of equality in various aspects of circumstances or opportunities, including education, as the salient factor determining the status and level of vulnerability of households. Most importantly, among the different shocks affecting household's income, it is found that meso-level shocks are in general far more important than covariate shocks. This finding points to some interesting policy implications in terms of decentralizing policies and delegating more powers and providing better means to local governments to enhance household resilience to shocks and to alleviate their vulnerability to poverty.

This chapter forwards a justification, an explanation, and numerous examples related to an emerging integrated sustainability management theory and its connections to other management theories and key-related concepts including systems and immersion. An integrated approach to sustainability solutions presents several implications for educators, researchers, practitioners, and policymakers, including the need to consider urgent and immediate responses that address sustainability crises at multiple levels and in multiple systems. This chapter is intended to promote reflection, dialogue, and a collective call to action to secure a sustainable world for present and future generations.

Much like “Yeti,” the Abominable Snowman whose footprints are everywhere but itself nowhere to be seen, unfounded assertions of human capital as valuable contributors to strategic success continue to proliferate. Many of these treatments are nonbinding, nonmeasureable, idiosyncratic, tautological, and therefore nearly impossible to use for any comparative market valuation. In this chapter, we selectively review the interdisciplinary literature on exemplars of human-derived capital. We systematically examine specific epistemological strengths, weaknesses, and gaps in recognized theories, measures, and practices. In particular, a multidisciplinary, multilevel, connectionist point of view is suggested. We present the case for an evidence-based classification system of human-derived capital at the micro-, meso-, and macro-levels. Our framework goes beyond static stock models by emphasizing dynamic human-derived capital flows, as well as their within-level and cross-level linkages, all within the context of a modern society that increasingly is networked, fluent with technology, and prodigious with social media.

This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).

Products and patents of methods and systems analysis was carried out in the fields of BIM application, Smart, Self-learning and Adaptive Resilience Building. Based on other researchers’ findings, The SARB Model was proposed.

Analysis of the literature showed that traditional decisions on the informational modelling do not satisfy all the needs of smart building technologies owing to their static nature. The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life.

The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life. The SARB Model does have some limitations: (1) the processes followed require the collection of much unstructured and semi-structured data from many sources, along with their analyses to support stakeholders in decision-making; (2) stakeholders need to be aware of the broader context of decision-making and (3) the proposal is process-oriented, which can be a disadvantage during the model’s implementation.

Two directions can be identified for the practical implications of the SARB Model. The initial expectation is the widespread installation of SARB Model within real estate and construction organisations. Furthermore, development of the SARB Model will be used to implement the ERASMUS+ project, “Advancing Skill Creation to ENhance Transformation—ASCENT” Project No. 561712-EPP-1-2015-UK-EPPKA2-CBHE-JP.

The practical implications of this paper are valuable.

This chapter is in line with the strand of literature on urban environmental stewardship and examines how cities around the world have been teaming up with each other in order to foster cocreation and codeployment of nature-based solutions (NBS) to tackle global environmental challenges and promote climate-resilient communities. This chapter describes such an effort that cities made to build international alliances and networks as a new wave of “city diplomacy.” Indeed, recent environmental negotiations at the global level on sustainable development and climate change have proven how cities of different size, with diverse socioeconomic and environmental conditions, were able to put NBS on the agenda and show their transformative power for the common good. Throughout the chapter, the European policy context is always placed at the meso level, between the macro (international arena) and the micro (city) dimensions, in order to demonstrate how the European Union has been instrumental in connecting the global, regional, and local agendas on NBS for renaturing cities.