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Shifts and Ladders: Comparing the Role of Internal and External Mobility in Managerial Careers
Matthew Bidwell and Ethan Mollick. 10/5/2015. “Shifts and Ladders: Comparing the Role of Internal and External Mobility in Managerial Careers.” Organization Science, 26, 6, Pp. 1553-1804. Publisher's VersionAbstract
Employees can build their careers either by moving into a new job within their current organization or else by moving to a different organization. We use matching perspectives on job mobility to develop predictions about the different roles that those internal and external moves will play within careers. Using data on the careers of master of business administration alumni, we show how internal and external mobility are associated with very different rewards: upward progression into a job with greater responsibilities is much more likely to happen through internal mobility than external mobility; yet despite this difference, external moves offer similar increases in pay to internal, as employers seek to attract external hires. Consistent with our arguments, we also show that the pay increases associated with external moves are lower when the moves take place for reasons other than career advancement, such as following a layoff or when moving into a different kind of work. Despite growing interest in boundaryless careers, our findings indicate that internal and external mobility play very different roles in executives’ careers, with upward mobility still happening overwhelmingly within organizations.
Job Titles as Identity Badges: How Self-Reflective Titles Can Reduce Emotional Exhaustion
Adam Grant, Justin Berg, and Daniel Cable. 2014. “Job Titles as Identity Badges: How Self-Reflective Titles Can Reduce Emotional Exhaustion.” Academy of Management Journal, 57, 4, Pp. 1201–1225. Publisher's VersionAbstract
Job titles help organizations manage their human capital and have far-reaching implications for employees’ identities. Because titles do not always reflect the unique value that employees bring to their jobs, some organizations have recently experimented with encouraging employees to create their own job titles. To explore the psychological implications of self-reflective job titles, we conducted field research combining inductive qualitative and deductive experimental methods. In Study 1, a qualitative study at the Make-A-Wish Foundation, we were surprised to learn that employees experienced self-reflective job titles as reducing their emotional exhaustion. We triangulated interviews, observations, and archival documents to identify three explanatory mechanisms through which self-reflective job titles may operate: selfverification, psychological safety, and external rapport. In Study 2, a field quasiexperiment within a health care system, we found that employees who created selfreflective job titles experienced less emotional exhaustion five weeks later, whereas employees in two control groups did not. These effects were mediated by increases in self-verification and psychological safety, but not external rapport. Our research suggests that self-reflective job titles can be important vehicles for identity expression and stress reduction, offering meaningful implications for research on job titles, identity, and emotional exhaustion.
They're Watching You at Work
Don Peck. 12/2013. “They're Watching You at Work.” The Atlantic. Publisher's VersionAbstract

What happens when Big Data meets human resources? The emerging practice of "people analytics" is already transforming how employers hire, fire, and promote.

in 2003, thanks to Michael Lewis and his best seller Moneyball, the general manager of the Oakland A’s, Billy Beane, became a star. The previous year, Beane had turned his back on his scouts and had instead entrusted player-acquisition decisions to mathematical models developed by a young, Harvard-trained statistical wizard on his staff. What happened next has become baseball lore. The A’s, a small-market team with a paltry budget, ripped off the longest winning streak in American League history and rolled up 103 wins for the season. Only the mighty Yankees, who had spent three times as much on player salaries, won as many games. The team’s success, in turn, launched a revolution. In the years that followed, team after team began to use detailed predictive models to assess players’ potential and monetary value, and the early adopters, by and large, gained a measurable competitive edge over their more hidebound peers.

That’s the story as most of us know it. But it is incomplete. What would seem at first glance to be nothing but a memorable tale about baseball may turn out to be the opening chapter of a much larger story about jobs. Predictive statistical analysis, harnessed to big data, appears poised to alter the way millions of people are hired and assessed.

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