Search results

This chapter seeks to investigate the ways individualistic versus collectivistic values moderate neural responses to social exclusion among African American and White respondents. The author hypothesized that the vmPFC – a key brain region for emotion regulation – would correspond to collectivistic value moderation and the dlPFC – the cognitive control center of the brain – would be associated with individualistic value moderation.

This study used a virtual ball tossing game (Cyberball), where 17 African American and 11 White participants were excluded or included with ball tosses, while inside an fMRI scanner. Before the start of each round the participants were primed with individualism, collectivism or a comparison condition.

Results showed that (1) African Americans showed stronger neural responses to exclusion and (2) offered support for the hypothesis that the dlPFC showed greater activation in African Americans (compared to Whites) when they were primed with individualism values during exclusion. There was no support for the collectivism hypothesis.

Research limitations included a relatively small sample size (N = 28), a comparison of only two racial groups and that the partners in the game were virtual (pre-programmed by the experimenter).

This research offers an empirical framework for sociologists seeking to apply social theories into neurological studies.

Identifying effective coping strategies for historically oppressed racial groups.

The chapter is original for demonstrating the moderating effects of values on neural responses to exclusion for the first time and by offering a novel neurosociological framework.

This chapter interrogates notions of the child and her brain as configured in the laboratory of pediatric neuroscientists, and by parents (overwhelmingly: mothers) of children classified for special education services on the basis of their varied learning capacities and incapacities. Data are drawn from my current New York-based study in a laboratory conducting fMRI research on resting-state differences amongst controls and children variously diagnosed with attention deficit hyper-activity disorder (ADHD), learning disabilities, autism and Tourette syndrome. Parents of children with those same diagnoses struggle with the strengths as well as the school-based weaknesses of their children, and in interviews they picture their children's brains quite differently than do the scientists. Young adult activists who grew up with the diagnoses of ADHD and learning disabilities appropriate lab-based descriptions of neurological difference to their own purposes, claiming a positive identity for themselves. At stake in the space between these diverse perspectives on childhood difference is the future of human developmental variability as it comes under biomedical research and regulation.

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.

We develop a Bayesian approach for modeling brain activation and connectivity from functional magnetic resonance image (fMRI) data. Our approach simultaneously estimates local hemodynamic response functions (HRFs) and activation parameters, as well as global effective and functional connectivity parameters. Existing methods assume identical HRFs across brain regions, which may lead to erroneous conclusions in inferring activation and connectivity patterns. Our approach addresses this limitation by estimating region-specific HRFs. Additionally, it enables neuroscientists to compare effective connectivity networks for different experimental conditions. Furthermore, the use of spike and slab priors on the connectivity parameters allows us to directly select significant effective connectivities in a given network.

We include a simulation study that demonstrates that, compared to the standard generalized linear model (GLM) approach, our model generally has higher power and lower type I error and bias than the GLM approach, and it also has the ability to capture condition-specific connectivities. We applied our approach to a dataset from a stroke study and found different effective connectivity patterns for task and rest conditions in certain brain regions of interest (ROIs).

Changes in the format of library materials, increased amounts of information, and the speed at which information is being produced have created an unrelenting need for training for library staff members. Additionally, library employees are retiring in greater numbers and their accompanying expertise is being lost. The purpose of this study was to document evaluation practices currently used in library training and continuing education programs for library employees, including metrics used in calculating return-on-investment (ROI). This research project asked 272 library training professionals to identify how they evaluate training, what kind of training evaluation practices are in place, how they select programs to evaluate for ROI, and what criteria are important in determining an effective method for calculating ROI.

In a fragmented tourism market and highly competitive industry, tourism providers aim to increase their appeal and attractiveness. Identifying opportunities and resources, which contribute to provide consumers with higher quality experiences and create added value, is challenging for entrepreneurs. This chapter aims to increase the awareness of entrepreneurs about flexible methods and tools, which are transforming the way work is performed and thus affecting management practices in the tourism industry.

Literature review was conducted on conceptual issues related to consumer experience and three case studies were analysed as best practices in the wine tourism industry

To deliver a specific consumer experience and create added value for customers, several opportunities are identified, related to authenticity and accommodation offering. Necessary resources to exploit those opportunities encompass existing (connected to the main product wine, historical buildings, family story and product characteristics) as well as newly acquired valuable resources related to the development of peripheral tourism activities.

This study is explorative in nature, based on a literature review. It takes more entrepreneurial than academic approach.

The balance between authenticity and attractiveness is a key factor of success for wineries as means to provide added value to customers.

This contribution helps to identify valuable and existing resources in order to exploit opportunities and deliver high-quality experiences to tourists. The uniqueness of this experience is crucial on building added value for customers.