The Diversity Bonus : : How Great Teams Pay Off in the Knowledge Economy / / Scott Page; ed. by Nancy Cantor, Earl Lewis.
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...
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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2019] ©2019 |
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Page, Scott, author. aut http://id.loc.gov/vocabulary/relators/aut The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / Scott Page; ed. by Nancy Cantor, Earl Lewis. Princeton, NJ : Princeton University Press, [2019] ©2019 1 online resource (328 p.) : 20 b/w illus. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Our Compelling Interests ; 2 Frontmatter -- Contents -- Introduction. Earl Lewis And Nancy Cantor -- Prologue. The Contrary Assumption -- Chapter One. Diversity Bonuses: The Idea -- Chapter Two. Cognitive Repertoires -- Chapter Three. Diversity Bonuses: The Logic -- Chapter Four. Identity Diversity -- Chapter Five. The Empirical Evidence -- Chapter Six. Diversity Bonuses And The Business Case -- Chapter Seven. Practice: D&T + D&I -- Commentary. What Is The Real Value Of Diversity In Organizations? Questioning Our Assumptions -- Appendix. The Diversity Prediction Theorem -- Notes -- Bibliography -- Index -- Discussion Questions restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Jun 2022) Diversity in the workplace. Knowledge economy. BUSINESS & ECONOMICS / Organizational Behavior. bisacsh 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. Cantor, Nancy, editor. edt http://id.loc.gov/vocabulary/relators/edt Cantor, Nancy. Lewis, Earl, editor. edt http://id.loc.gov/vocabulary/relators/edt Lewis, Earl. PhilliPs, Katherine W., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Phillips, Katherine. Title is part of eBook package: De Gruyter Princeton University Press Complete eBook-Package 2019 9783110663365 print 9780691191539 https://doi.org/10.1515/9780691193823?locatt=mode:legacy https://www.degruyter.com/isbn/9780691193823 Cover https://www.degruyter.com/document/cover/isbn/9780691193823/original |
language |
English |
format |
eBook |
author |
Page, Scott, Page, Scott, |
spellingShingle |
Page, Scott, Page, Scott, The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / Our Compelling Interests ; Frontmatter -- Contents -- Introduction. Earl Lewis And Nancy Cantor -- Prologue. The Contrary Assumption -- Chapter One. Diversity Bonuses: The Idea -- Chapter Two. Cognitive Repertoires -- Chapter Three. Diversity Bonuses: The Logic -- Chapter Four. Identity Diversity -- Chapter Five. The Empirical Evidence -- Chapter Six. Diversity Bonuses And The Business Case -- Chapter Seven. Practice: D&T + D&I -- Commentary. What Is The Real Value Of Diversity In Organizations? Questioning Our Assumptions -- Appendix. The Diversity Prediction Theorem -- Notes -- Bibliography -- Index -- Discussion Questions |
author_facet |
Page, Scott, Page, Scott, Cantor, Nancy, Cantor, Nancy, Cantor, Nancy. Lewis, Earl, Lewis, Earl, Lewis, Earl. PhilliPs, Katherine W., PhilliPs, Katherine W., Phillips, Katherine. |
author_variant |
s p sp s p sp |
author_role |
VerfasserIn VerfasserIn |
author2 |
Cantor, Nancy, Cantor, Nancy, Cantor, Nancy. Lewis, Earl, Lewis, Earl, Lewis, Earl. PhilliPs, Katherine W., PhilliPs, Katherine W., Phillips, Katherine. |
author2_variant |
n c nc n c nc n c nc e l el e l el e l el k w p kw kwp k w p kw kwp k p kp |
author2_role |
HerausgeberIn HerausgeberIn TeilnehmendeR HerausgeberIn HerausgeberIn TeilnehmendeR MitwirkendeR MitwirkendeR TeilnehmendeR |
author_sort |
Page, Scott, |
title |
The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / |
title_sub |
How Great Teams Pay Off in the Knowledge Economy / |
title_full |
The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / Scott Page; ed. by Nancy Cantor, Earl Lewis. |
title_fullStr |
The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / Scott Page; ed. by Nancy Cantor, Earl Lewis. |
title_full_unstemmed |
The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / Scott Page; ed. by Nancy Cantor, Earl Lewis. |
title_auth |
The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / |
title_alt |
Frontmatter -- Contents -- Introduction. Earl Lewis And Nancy Cantor -- Prologue. The Contrary Assumption -- Chapter One. Diversity Bonuses: The Idea -- Chapter Two. Cognitive Repertoires -- Chapter Three. Diversity Bonuses: The Logic -- Chapter Four. Identity Diversity -- Chapter Five. The Empirical Evidence -- Chapter Six. Diversity Bonuses And The Business Case -- Chapter Seven. Practice: D&T + D&I -- Commentary. What Is The Real Value Of Diversity In Organizations? Questioning Our Assumptions -- Appendix. The Diversity Prediction Theorem -- Notes -- Bibliography -- Index -- Discussion Questions |
title_new |
The Diversity Bonus : |
title_sort |
the diversity bonus : how great teams pay off in the knowledge economy / |
series |
Our Compelling Interests ; |
series2 |
Our Compelling Interests ; |
publisher |
Princeton University Press, |
publishDate |
2019 |
physical |
1 online resource (328 p.) : 20 b/w illus. |
contents |
Frontmatter -- Contents -- Introduction. Earl Lewis And Nancy Cantor -- Prologue. The Contrary Assumption -- Chapter One. Diversity Bonuses: The Idea -- Chapter Two. Cognitive Repertoires -- Chapter Three. Diversity Bonuses: The Logic -- Chapter Four. Identity Diversity -- Chapter Five. The Empirical Evidence -- Chapter Six. Diversity Bonuses And The Business Case -- Chapter Seven. Practice: D&T + D&I -- Commentary. What Is The Real Value Of Diversity In Organizations? Questioning Our Assumptions -- Appendix. The Diversity Prediction Theorem -- Notes -- Bibliography -- Index -- Discussion Questions |
isbn |
9780691193823 9783110663365 9780691191539 |
callnumber-first |
H - Social Science |
callnumber-subject |
HF - Commerce |
callnumber-label |
HF5549 |
callnumber-sort |
HF 45549.5 M5 |
url |
https://doi.org/10.1515/9780691193823?locatt=mode:legacy https://www.degruyter.com/isbn/9780691193823 https://www.degruyter.com/document/cover/isbn/9780691193823/original |
illustrated |
Illustrated |
dewey-hundreds |
600 - Technology |
dewey-tens |
650 - Management & public relations |
dewey-ones |
658 - General management |
dewey-full |
658.3008 |
dewey-sort |
3658.3008 |
dewey-raw |
658.3008 |
dewey-search |
658.3008 |
doi_str_mv |
10.1515/9780691193823?locatt=mode:legacy |
oclc_num |
1088554347 |
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The Diversity Bonus : How Great Teams Pay Off in the Knowledge Economy / |
container_title |
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