Search results

The twentieth century started writing the history of modern health systems. Their evolvable rate is now higher than ever. The Western Europe was the forefront of setting up the national health systems (NHS) to protect citizens and let them thrive. Successful models progressively crossed the borders and experiences became universal. Hence, this chapter tackles data to perceive the underwent radical transformations and capture intricate aspects to envision the next and get answers time ahead the patients‘needs. Health organizational structures and human resources management play crucially in improving system’s performances: managerial qualities, medical entities’ functionality, results’ forecasting are essential to build up credibility and aid strategic patterns to evolve.

Changes are welcome to better tailor performances, assure successful implementation, avoid inadequate, distressing reforms. Stable and consistent policies are also called for.

Grounded on fundamental patterns, open to applicatory innovation, countries follow specific arrangements to resound with healthcare robustness if goals are well-thought-of: keeping people healthy and safe, identifying and treating defectiveness or abnormal physiological functions affecting people, operations, circuits, and preserving health budget wisely balanced.

Activities and citizens are touched by any structural changes maneuvered. To confront them, a keen eye should be addressed to those nobody’s areas into synergistic efforts to cope with internal causes, face external forces and improve life through fair profitability on the way of full satisfaction.

In light of the growing interest in neuroscience within the managerial and organizational cognition (MOC) scholarly domain at large, this chapter advances current knowledge on core neuroscience methods. It does so by building on the theoretical analysis put forward by Healey and Hodgkinson (2014, 2015), and by offering a thorough – yet accessible – methodological framework for a better understanding of key cognitive and social neuroscience methods. Classifying neuroscience methods based on their degree of resolution, functionality, and anatomical focus, the chapter outlines their features, practicalities, advantages and disadvantages. Specifically, it focuses on functional magnetic resonance imaging, electroencephalography, magnetoencephalography, heart rate variability, and skin conductance response. Equipped with knowledge of these methods, researchers will be able to further their understanding of the potential synergies between management and neuroscience, to better appreciate and evaluate the value of neuroscience methods, and to look at new ways to frame old and new research questions in MOC. The chapter also builds bridges between researchers and practitioners by rebalancing the hype and hopes surrounding the use of neuroscience in management theory and practice.

This chapter overviews organizational neuroscience (ON), covering the past, present, and future of this growing field of inquiry. First, we define ON and clarify the boundaries of the field. Second, we describe the evolution of ON by starting with early papers that tended to discuss the potential of ON to benefit both research and practice. Throughout its development, debates have abounded about the value of ON. Such debates are often related to challenges in collecting, integrating, interpreting, and using information from the brain-level of analysis. It is time for the field to move beyond these debates to focus on applying neuroscience to further theory development and reveal more comprehensive answers to research questions of importance to both academics and practitioners. Third, we propose and describe future research directions for ON. The research directions that we propose are merely a sample of the many paths along which ON inquiry can move forward. Fourth, we outline potential practical implications of ON, including: training and development, job design, high-performance assessment, motivating communications, and conflict prevention. Finally, we draw conclusions about ON as it stands today, address challenges in developing ON, and point out opportunities. We conclude with takeaways and highlight the importance of ON for both academics and practitioners.

Through a review of historically famous cases and a chronicle of neurotechnology development, this chapter discusses brain structure and brain function as two distinct yet interrelated paths to understand the relative contributions of anatomical and physiological mechanisms to the human brain–behavior relationship. From an organizational neuroscience perspective, the chapter describes over a dozen neuroimaging technologies that are classified under four groupings: morphologic, invasive metabolic, noninvasive metabolic, and electromagnetic. We then discuss neuroimaging variables that may be useful in social science investigations, and we underscore electroencephalography as a particularly useful modality for the study of individuals and groups in organizational settings. The chapter concludes by considering emerging science and novel brain technologies for the organizational researcher as we look to the future.

In the wake of growing pressures to make scholarly knowledge commercially relevant via translation into intellectual property, various techno-scientific communities have mobilized to create open access/open source experiments. These efforts are based on the ideas and success of free and open source software, and generally try to exploit two salient features: increased openness and circulation, and distributed collective innovation. Transferring these ideas from software to science often involves unforeseen challenges, one of which is that these movements can be deemed, often incorrectly, as heretical by university administrators and technology transfer officers who valorize metrics such as number of patents filed and granted, spin-off companies created, and revenue generated. In this paper, we discuss nascent efforts to foster an open source movement in nanotechnology and provide an illustrative case of an arsenic removal invention. We discuss challenges facing the open source nano movement that include making a technology widely accessible and the associated politics of metrics.

In recent years, social scientists have begun exploring the neurological foundations of behavior in an attempt to gain a more complete understanding of decision-making in the realms of both politics and economics (see Cacioppo & Viser, 2003; Fowler & Schreiber, 2008; McDermott, 2009; Caplin & Schotter, 2008).

Neuroimaging research has substantially enhanced our understanding of the neurobiological mechanisms of typical and atypical learning in children. These developments can advance the design of novel approaches to diagnosis and intervention for learning disabilities. Despite the promise of educational neuroscience, there are still walls between neuroscience and special education researchers such that more collaboration and understanding are needed between these disciplines. This chapter attempts to break down the walls by discussing how neuroimaging techniques can be incorporated into special education research. We also present arguments as to why neuroscience is “the next big thing” in special education research and the obstacles that must be overcome in order for neuroscience to be incorporated into education research. To describe how neurobiology might impact special education, we focus primarily on reading disability. We believe that educational neuroscience can aid in the identification and intervention of other learning disorders as well.