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Gradually, more and more women are being introduced to top managerial positions, providing a new challenge for educators, employers and organisational psychologists who are interested in the special characteristics of women that might be of relevance to their performance and success in a supervisory role.

This chapter addresses the potential for knowledge, learning, and collaboration (KLC) cultures in public sector organizations. Public sector organizations are among the most complex for introducing or nourishing a KLC approach because there are multiple levels of cultures with varying levels of influence. We describe these complex cultures as tiers. First, we define public sector organizations’ business goals, purpose, and strategies. Then, the authors translate and interpret all five levels of culture for public sector organizations. The chapter also details the nature of cultural complexity, namely the four tiers of public sector cultures: (1) the company culture (Tier 1); (2) the public service culture (Tier 2); (3) the culture of the external environment (Tier 3); and (4) the internal KLC cultures (Tier 4). This chapter establishes a framework for describing an organization’s complex culture and determining the best KLC approach for the context.

This paper investigates the validity of the expectations hypothesis for the term structure of interest rates in the context of the deposit interest rates in Kuwait. The data set covers average inter local bank interest rates on deposits of Kuwaiti Dinar (KD) with maturity of one, three and six months from the period June 1994 to August 2008. We utilize Johansen procedures to examine the relationship between spot and forward rates. Our findings show that the spot and forward rates are cointegrated for all cases, the one month interest rates, the three month interest rates as well as the six month interest rates. The explanation of this relationship indicates that the expectations hypothesis of the term structure of interest rates is accepted for the case of Kuwait.

This paper proposes an organizational change process to prepare physicians and other health professionals for their new roles in patient-centered medical homes (PCMHs). It provides physician-centered tools, models, concepts, and the language to implement transformational patient-centered medical care.

To improve care delivery, quality, and patient engagement, a systems approach to care is required. This paper examines a systems approach to patient care where all inputs that influence patient interactions and participation are considered in the design of health care delivery and follow-up treatment plans. Applying systems thinking, organizational change models, and team-building, we have examined the continuum of this change process from ideation through the diffusion of new methods and behaviors.

PCMHs make compelling business sense. Studies have shown that the PCMH improves patient satisfaction, clinical outcomes and reduces underuse and overuse of medical services. Patient-centered care necessitates transitioning from an adversarial to a collaborative culture. It is a transformation process predicated on strong leadership able to align an organization toward a vision of patient-centered care, creating a collaborative culture committed to health-goal achievement.

This paper proposes that the PCMH is a rigorous team-building transformational organizational change, a radical departure from the current hierarchical, silo-oriented, medical practice model. It requires that participants within and across health care organizations learn new skills and behaviors to achieve the anticipated quality and efficiency improvements. It is an innovative health care organization model of the future whose success is premised on teams supplanting the individual as the building block and unit of health care performance.

This paper compares the out-of-sample forecasting performance of three long-memory volatility models (i.e., fractionally integrated (FI), break and regime switching) against three short-memory models (i.e., GARCH, GJR and volatility component). Using S&P 500 returns, we find that structural break models produced the best out-of-sample forecasts, if future volatility breaks are known. Without knowing the future breaks, GJR models produced the best short-horizon forecasts and FI models dominated for volatility forecasts of 10 days and beyond. The results suggest that S&P 500 volatility is non-stationary at least in some time periods. Controlling for extreme events (e.g., the 1987 crash) significantly improved forecasting performance.

The purpose of the paper is to advocates the use of gendered economic policies to stimulate a post-COVID-19 recovery. It alerts on the risk of ignoring the female dimension of the current crisis and of resorting again to austerity programs that, like the ones enacted after the 2008 crisis, would hit women and mothers disproportionally harder than other groups.

The authors use data from the British Household Panel Survey on female participation and account for gendered constraints and enablers missed by mainstream economics. Using a sequential empirical approach, the authors simulate various welfare policy scenarios that address factors, such as childcare costs, personal and social nudges, that could help women back into the labor market in the aftermath of a crisis.

The authors found that incentive-type interventions, such as subsidies, promote female labor market participation more effectively than punishment-austerity type interventions, such as benefits' cuts. Policies oriented to alleviate childcare constraints can be sustainable and effective in encouraging women back to work. Considering factors wider than the standard economic variables when designing labor market policies may provide fruitful returns.

The sequential methodology enables to estimate current and counterfactual incomes for each female in the sample and to calculate their prospective financial gains and losses in changing their labor market status quo, from not employed into employed or vice-versa. Welfare policies affect these prospective gains and losses and, by interacting with other factors, such as education, number and age of children and social capital, prompt changes in women's labor market choices and decision.

Adults with intellectual disabilities are the most psychotropically medicated population of all. Non-medically trained care staff with whom these individuals spend the majority of their time are generally poorly trained in issues surrounding psychotropic medication. Much of the research related to the experiences of staff working in intellectual disability services has focused on medically trained professionals, and clients, and has been of a quantitative nature. Very little attention has been paid to care staff, their experiences, and through a qualitative approach. The purpose of this paper is to address this issue.

The current study employed a semi-structured interview methodology to explore the experiences of, and impact on, care staff in relation to psychotropic medication usage in adults with intellectual disabilities living in long-term residential care. Eight full-time, experienced care staff were interviewed and data were analysed using interpretative phenomenological analysis (Smith et al., 2009).

The paper demonstrates an array of concerns for staff, such as the negative impact upon client quality-of-life, the ethical implications of the medications’ regime, and the relationship perceived by care staff with the organisation management; and a significant lack of training. The limited field of previous research demographically comparable to the present paper was analysed for findings.

The paper helps expand the current literature on experiences of care staff for people with intellectual disabilities from their own perspective, explores the emotional impact of the organisation's treatment of clients, and offers a range of recommendations in terms of theory, clinical practice and research.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.