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Human resources management (HRM) has evolved from primarily focusing on monetary incentives toward incorporating other nonmonetary aspects for managing professionals’ motivation. However, in health care organizations, paying professionals for performance persists although evidence for its return on investment is scant. This raises the question whether monetary incentives are, in fact, the (only) motivator for health care professionals or whether other incentives could substitute or complement them in the future. This chapter reviews the basic ideas of pay for performance (P4P) and its current challenges. Taking into account HRM's experience (and evolution) in other industries, I discuss the interdependence and the impact of extrinsic and intrinsic motivators in health care. On the basis of the health care market's standing as a knowledge-intensive industry in which multiple actors contribute their knowledge to multiple tasks, I will offer suggestions how to manage motivation based on individuals’ intrinsic needs instead of relying solely on extrinsic motivators.

The importance of culture is often emphasized for continuous learning and quality improvement within health care organizations. Limited empirical evidence for cultivating a culture that supports continuous learning and quality improvement in health care settings is currently available.

The purpose of this report is to characterize the evolution of a large division of physical therapists and occupational therapists in a pediatric hospital setting from 2005 to 2018 to identify key facilitators and barriers for cultivating a culture empowered to engage in continuous learning and improvement.

An ethnographic methodology was used including participant observation, document review, and stakeholder interviews to acquire a deep understanding and develop a theoretical model to depict insights gained from the investigation.

A variety of individual, social, and structural enablers and motivators emerged as key influences toward a culture empowered to support continuous learning and improvement. Features of the system that helped create sustainable, positive momentum (e.g., systems thinking, leaders with grit, and mindful design) and factors that hindered momentum (e.g., system uncertainty, staff turnover, slow barrier resolution, and competing priorities) were also identified.

Individual-level, social-level, and structural-level elements all influenced the culture that emerged over a 12-year period. Several cultural catalysts and deterrents emerged as factors that supported and hindered progress and sustainability of the emergent culture.

Cultivating a culture of continuous learning and improvement is possible. Purposeful consideration of the proposed model and identified factors from this report may yield important insights to advance understanding of how to cultivate a culture that facilitates continuous learning and improvement within a health care setting.

It is salient to be acquainted with the key elements that determine educational tourists’ decision in selecting an overseas destination while considering the rise of international competition amidst nations concerning international students. There has been a growth in the number of nations committed to attracting educational tourists. This issue is evident in countries involved in higher education (HE), such as Northern Cyprus, identified as an edu-tourism destination. Northern Cyprus can attract a whopping number of tourists, and the higher population is most likely to be made up of international students regardless of its interdiction on direct flights and political pressure. This chapter centres on analysing educational tourists’ motivators in selecting a tourism education destination abroad and on revealing effective recruitment and promotion plans towards attracting them. The chapter includes the descriptions and discussions of educational tourism, the HE industry over the years, globalisation and internationalisation of educational tourism, factors influencing educational tourists’ decision-making process and key elements influencing educational tourists’ decisions in HE institutions. At the end of the chapter, a case study is presented that reports the findings of interviews with educational tourists, overseas recruitment agents and Eastern Mediterranean University staff responsible for promoting the institution. The results identified eight factors affecting educational tourists’ decisions on study destination. Those factors comprise cost, ease of access, location, social factors, quality of education, instruction language, cultural environment and communication quality. The sub-factors of the main eight factors are scholarships, destination’s scenery, safety, friends’ and relatives’ influence and cultural differences. This chapter brings a significant knowledge about the motives that affect educational tourists in selecting at a particular HE destination. Based on the study’s findings, educational institutions may consider various recommendations to redesign their strategies towards attracting educational tourists more effectively. Generally, this study promotes an apprehension about the diverse elements that affect educational tourists’ selection of a destination study. An in-depth understanding of these factors will help education institutions’ decision-makers better develop plans of action to provide desired services to educational tourists, attract and keep them in return.

The importance of well-being at all ages is well-argued theoretically and experimentally, with it having a special place during adolescence and young adulthood, largely because of its association with mental health. Thus, it is important to better understand influences affecting the well-being of Generation Z and explore plans for adequate interventions. In addition, with factors pointing to high psychological well-being among Gen Zers, there are grounds for positive expectations for this generation. This can help optimize programs to improve mental health at a young age, which has important implications for the whole life spectrum.

In this chapter, each of the completed models of curriculum is presented and evaluated using criteria from the attributes of effective curricula discussed in Chapter 1. Explanations of the design strategies that are used to demonstrate each attribute in a differentiated manner are included. The evaluation process provides an evaluation methodology to demonstrate the effectiveness of each model of a curriculum in a credible and trustworthy way.

In the previous chapters, the individual parts of the curricula were configured, aligned, and interconnected to deliver specific outcomes in each learning module. In this chapter, the components of each curriculum are assembled into one table to exhibit the order contained within each learning module within the overall curriculum. The standards for curricular attributes adopted at the beginning of the design process are the criteria for the evaluation of the completed curriculum. The strategies used to configure the components of each curriculum provide evidence of the curriculum’s characteristics, which demonstrate compliance with each criterion.

The evaluation of these attributes within a curriculum serves several purposes. First, they provide a checklist to guide the design process toward curricula that reflect these standards as developed by the profession of curriculum design in higher education. Second, they provide a measurement of the attributes of the curriculum to demonstrate the compliance of each curricular design with conventional standards. Third, these measurements can be compared with other institutional data to uncover correlations between the design assumptions and learner performance. These correlations often reveal unanticipated results, which inform the effectiveness of the instructional system.

These criteria are applied to the evaluation of the curriculum for each module to demonstrate the diverse manner in which each can be achieved in a discipline-specific manner. The compliance with these criteria is explained to be a matter of demonstration, as used in the discipline of qualitative research. These qualitative evaluations can then be compared with other operational data to understand the effectiveness of the design assumptions for each curriculum.