More from these Authors

• Article | Psychological Science | March 2018

  Polluted Morality: Air Pollution Predicts Criminal Activity and Unethical Behavior

  Jackson G. Lu, Julia J. Lee, F. Gino and Adam D. Galinsky

  Air pollution is a serious problem that influences billions of people globally. Although the health and environmental costs of air pollution are well known, the present research investigates its ethical costs. We propose that air pollution can increase criminal and unethical behavior by increasing anxiety. Analysis of a 9-year panel of 9,360 U.S. cities found that air pollution predicted six different categories of crime; these analyses accounted for a comprehensive set of control variables (e.g., city and year fixed effects, population, law enforcement) and survived various robustness checks (e.g., non-parametric bootstrapped standard errors, balanced panel). Three subsequent experiments involving American and Indian participants established the causal effect of psychologically experiencing a polluted vs. clean environment on unethical behavior. Consistent with our theoretical perspective, anxiety mediated this effect. Air pollution not only corrupts people’s physical health, but can also contaminate their morality.

  Keywords: Pollution and Pollutants; Behavior; Moral Sensibility; Crime and Corruption;

  Citation:

  Lu, Jackson G., Julia J. Lee, F. Gino, and Adam D. Galinsky. "Polluted Morality: Air Pollution Predicts Criminal Activity and Unethical Behavior." Psychological Science 29, no. 3 (March 2018): 340–355.  View Details

  CiteView DetailsFind at Harvard

  Related

• Teaching Note | HBS Case Collection | February 2018

  Advika Consulting Services: Challenges and Opportunities in Managing Human Capital

  Alison Wood Brooks, Francesca Gino, Julia J. Lee, Bradley R. Staats, Andrew Wasynczuk and John Beshears

  Teaching Note for HBS No. 916-033.

  Keywords: consulting firms;

  Citation:

  Brooks, Alison Wood, Francesca Gino, Julia J. Lee, Bradley R. Staats, Andrew Wasynczuk, and John Beshears. "Advika Consulting Services: Challenges and Opportunities in Managing Human Capital." Harvard Business School Teaching Note 918-038, February 2018.  View Details

  CiteView DetailsPurchase

  Related

• Working Paper | 2018

  Amount and Diversity of Digital Emotional Expression Predicts Happiness

  Laura Vuillier, Alison Wood Brooks, June Gruber, Rui Sun, Michael I. Norton, Matthew James Samson, Emiliana Simon-Thomas, Paul Piff, Sarah Fan, Jordi Quoidbach, Charles Gorintin, Pete Fleming, Arturo Bejar and Dacher Keltner

  Emotional expression in digital form has become increasingly ubiquitous via the proliferation of computers and handheld devices. Using online surveys and live chat experiments across four studies and 1,325 individuals (Study 1A-B and 2A-B), and a large social media dataset spanning 4.9 billion individuals (Study 3), we examine whether digital emotion expression (emojis) predicts happiness at the individual and national levels. Our studies converge on three central findings. First, people use emojis in text-based communication to convey emotional experience. Second, the amount and diversity of emojis causally increases happiness during social interactions. Third, across 122 countries, higher total amount and greater diversity of emoji usage per capita and per user correlate with higher national happiness. Across levels of analysis, our results suggest that both the amount and diversity of digital emotion expression influences well-being.

  Keywords: Emotions; Communication Technology; Happiness; Forecasting and Prediction;

  Citation:

  Vuillier, Laura, Alison Wood Brooks, June Gruber, Rui Sun, Michael I. Norton, Matthew James Samson, Emiliana Simon-Thomas, Paul Piff, Sarah Fan, Jordi Quoidbach, Charles Gorintin, Pete Fleming, Arturo Bejar, and Dacher Keltner. "Amount and Diversity of Digital Emotional Expression Predicts Happiness." Working Paper, February 2018.  View Details

  CiteView Details Read Now

  Related