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Emotional labor (EL) is the process of managing one's feelings and outward expression in accordance with organizationally defined rules. Three types of emotional labor have been identified and can be stratified based on the display of emotion and the internal emotional state. In this study we interviewed Uber drivers to investigate their performance of emotional labor in the context of the positive affect that they are required to show and the role technology plays in their performance.

Business ecosystems are characterized by large, complex, and global networks of firms, often from many different market segments, all collaborating, partnering, and competing to create and deliver new products and services. Given the rapidly increasing scale, complexity, and rate of change of business ecosystems, as well as economic and competitive pressures, analysts are faced with the formidable task of quickly understanding the fundamental characteristics of these interfirm networks.

The growing popularity of social media makes it increasingly difficult to keep up with the huge volumes of information they produce. We present SentenTree, a novel visualization technique that helps people gain a quick understanding of the key concepts and opinions expressed in a given social media text set. SentenTree can be used by both casual social media users and professional analysts.