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The diversity bonus : how great teams pay off in the knowledge economy
Authors: --- --- --- --- --- et al.
ISBN: 0691193827 Year: 2019 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

How businesses and other organizations can improve their performance by tapping the power of differences in how people thinkWhat if workforce diversity is more than simply the right thing to do? What if it can also improve the bottom line? It can. The Diversity Bonus shows how and why. Scott Page, a leading thinker, writer, and speaker whose ideas and advice are sought after by corporations, nonprofits, universities, and governments, makes a clear and compelling practical case for diversity and inclusion. He presents overwhelming evidence that teams that include different kinds of thinkers outperform homogenous groups on complex tasks, producing what he calls "diversity bonuses." These bonuses include improved problem solving, increased innovation, and more accurate predictions-all of which lead to better results. Drawing on research in economics, psychology, computer science, and many other fields, The Diversity Bonus also tells the stories of businesses and organizations that have tapped the power of diversity to solve complex problems. The result changes the way we think about diversity at work-and far beyond.

Keywords

Diversity in the workplace. --- Teams in the workplace. --- Personnel management. --- Knowledge economy. --- Accuracy and precision. --- Advertising. --- Affirmative action. --- African Americans. --- Americans. --- Analogy. --- Analytics. --- Asian Americans. --- Asset management. --- Biology. --- Board of directors. --- Boeing. --- Business case. --- Calculation. --- Career. --- Categorization. --- Causality. --- Classroom. --- Collaboration. --- Collective intelligence. --- Competition. --- Computer scientist. --- Cross-functional team. --- Customer. --- Decision-making. --- Demography. --- Economist. --- Effectiveness. --- Empirical evidence. --- Employment. --- Engineering. --- Ensemble learning. --- Entrepreneurship. --- Estimation. --- Explanation. --- Finding. --- Fluid and crystallized intelligence. --- Forecasting. --- Fortune 500. --- Gender diversity. --- Grutter v. Bollinger. --- Harvard University. --- Heuristic. --- Hidden Figures. --- Human resources. --- Income. --- Inference. --- Institution. --- Intelligence analysis. --- Intersectionality. --- Knowledge base. --- Larry Page. --- Majority minority. --- Marketing. --- Mathematician. --- Mathematics. --- Meritocracy. --- Microsoft. --- Mission statement. --- National Science Foundation. --- Netflix. --- New York University. --- Obesity. --- Organization. --- Organizational culture. --- Participant. --- Percentage. --- Philosopher. --- Political science. --- Prediction. --- Predictive modelling. --- Probability. --- Problem solving. --- Product design. --- Profession. --- Quality control. --- Quartile. --- Race (human categorization). --- Restaurant. --- Result. --- Robert Wood Johnson Foundation. --- Rule of thumb. --- Scientist. --- Sexual orientation. --- Social issue. --- Social science. --- State of the World (book series). --- Supply chain. --- Team composition. --- Technology. --- Theorem. --- Tool. --- Trade-off. --- Tradecraft. --- University of Michigan. --- Wealth. --- Weighting. --- Workforce. --- Workplace.

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