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This chapter provides an overview of the role of technology and policy in shaping care plans for patients. Historically, healthcare has lagged behind other industry sectors in adopting and deploying useful technologies, and policy surrounding use is an important component of establishing a long-term strategy. This chapter evaluates the current state of technology in the clinical setting and extends the widely adopted policy-based approaches into the palliative care context.

This chapter examines and discusses the unintended outcomes of the production bonus scheme the mine had instituted to motivate and increase the productivity of the frontline mining teams. This is crucial given that the maladministration of the bonus system could lead to a range of undesired outcomes such as deteriorating levels of trust between management and frontline workers, prioritisation of production at the expense of safety, poor work relations and ultimately low levels of organisational, employee and team performance. There are a number of organisational, management and labour factors that can render a production bonus scheme effective or ineffective. These factors influence the nature and extent of worker reactions to the bonus scheme.

This chapter examines and discusses the factors that influenced the reaction of the mining teams to the team-based production bonus scheme and the extent to which mine management fulfilled its side of the bargain in the implementation of the production bonus. The chapter highlights the manner in which the team-based bonus system influenced teams of stope workers to engage in their informal organisational practice of making plan (planisa) in order to offset the snags that jeopardised their prospects of earning the production bonus. The chapter reveals that, to a large extent, the productivity bonus generated conflict rather than cooperation at the point of production down the mine. As a result, the incentive scheme failed to live up to expectations by not eliciting the desired levels of organisational, worker and team performance at the rock-face.

Correctional library staff are essential to fulfilling the rehabilitative mission of prisons, but their work is too often misunderstood and neglected. The Colorado Department of Corrections (CDOC) Libraries have a 272% turnover rate and struggle with many long-term vacancies. Despite being the lowest-paid staff in CDOC, library staff are asked to fulfill two distinct sets of responsibilities: that of running a library, and facility safety and security tasks.

Based upon original research, the Colorado State Library (CSL) has created a standard for minimum staffing levels for CDOC Libraries and a formula that can be applied no matter what service model a correctional library uses. CSL has found that to improve recruitment and retention of its library staff, CDOC needs to (1) improve pay and the librarian promotional path by changing staff to a class series which more appropriately reflects the job duties and level of decision-making and (2) create more library staff positions statewide in order to meet the minimum staffing levels.

Though some disaster risk reduction and management (DRRM) abstractions and core concepts may appear transparently obvious to some readers, others might not easily grasp the complexities embedded in them. This chapter focusses on the main arguments connected to DRRM. It unravels some of the complexities that abound in the framing of key disaster risk reduction concepts in literature. This chapter is divided into three parts. The first part focusses on understanding the dynamics of disasters. This part revisits definitions of disasters in literature, how they have been conceptualised in academia and what makes them different from other related concepts such as hazards, crisis, vulnerabilities and emergencies. Furthermore, considering that some impacts of disasters are more obvious than others, it examines some of the less conspicuous relationships between disasters and other phenomena. The second part examines the concept of DRRM in existing literature, highlighting the importance of resilience in DRRM and revisiting key methodological approaches in building resilience among communities. The third part places the concept of DRRM within the African context. It demonstrates the delicate aspects embedded in successful DRRM in Africa amid institutional development and policy issues. This part concludes with the identification of key knowledge gaps in DRRM in Africa. These knowledge gaps identified in the wider literature are used to justify why the chapters in this book and the context covered (sub-Saharan Africa) are of utmost importance in DRRM.

Managing complex construction projects is a challenging task because it involves multiple factors and decision-making processes. A systematic evaluation of these complex factors is imperative for achieving project success. As most of these factors are qualitative or intangible in nature, decision makers often rely on subjective judgements when comparing and evaluating them. The hybrid techniques that integrate fuzzy set theory and the analytic hierarchy process (AHP) are able to deal with such problems. This chapter discusses various hybrid techniques of the fuzzy AHP and presents an application of these techniques to the evaluation of transportation project complexity, which is essential for prioritising resource allocation and assessing project performance. Project complexity can be quantified and visualised effectively with the application of the fuzzy AHP. This chapter enhances the understanding of construction project complexity and fuzzy hybrid computing in construction engineering and management. Future research should address the calibration of fuzzy membership functions in pairwise comparisons for each individual decision maker and develop computational tools for solving optimisation problems in the constrained fuzzy AHP. In the area of construction project complexity, future research should investigate how scarce resources are allocated to better manage complex projects and how appropriate resource allocation improves their performance.

The impact of the “Great Recession” on inequality is unclear. Because the crises in the housing and stock markets and mass job loss affect incomes across the entire distribution, the overall impact on inequality is difficult to determine. Early speculation using a variety of narrow measures of earnings, income, and consumption yield contradictory results. In this chapter, we develop new estimates of income inequality based on “more complete income” (MCI), which augments standard income measures with those that are accrued from the ownership of wealth. We use the 1989–2007 Surveys of Consumer Finances, and also construct MCI measures for 2009 based on projections of assets, income, and earnings.

We investigate the level and trend in MCI inequality and compare it to other estimates of overall and “high incomes” in the literature. Compared to standard measures of income, MCI suggests higher levels of inequality and slightly larger increases in inequality over time. Several MCI-based inequality measures peaked in 2007 at their highest levels in 20 years. The combined impact of the Great Recession on the housing, stock, and labor markets after 2007 has reduced some measures of income inequality at the top of the MCI distribution. Despite declining from the 2007 peak, however, inequality remains as high as levels experienced earlier in the decade, and much higher than most points over the last 20 years. In the middle of the income distribution, the declines in income from wealth after 2007 were the result of diminished value of residential real estate; at the top of the distribution, declines in the value of business assets had the greatest impact.

We also assess the level and trend in the functional distribution of income between capital and labor, and find a rising share of income accruing to real capital or wealth from 1989 to 2007. The recent economic crisis has diminished the capital share back to levels from 2004. Contrary to the findings of other researchers, we find that the labor share of income among high-income groups declined between 1992 and 2007.