No-show job

A no-show job is a paid position that ostensibly requires the holder to perform duties, but for which no work, or even attendance, is actually expected. The awarding of no-show jobs is a form of political or corporate corruption.

Organized crime and corruption

The New York Times has written: "The no-show job has long played a central role in the annals of crime and corruption in New York, offering an efficient way for crooked politicians, union officials, mobsters and all manner of miscreants to funnel kickbacks and bribes to friends, family members, business associates and even themselves."[1] Philip Carlo, in his biography of Anthony "Gaspipe" Casso, writes that no-show jobs are "a classic Mafia setup" and that such positions were highly prized among mobsters.[2] A 2012 report of the Waterfront Commission of New York Harbor found that "no-show jobs held by relatives of mobsters and other well-connected people continue to vex government officials trying to make the ports more efficient and more competitive."[3]

In the past, no-show jobs were also an aspect of corruption in Boston[4] and Chicago.[5]

Corporate fraud

In the corporate world, "no-show" employees—also called ghost employees—usually have some family or personal relationship to a manager or supervisor. In the corporate world, this is considered a type of payroll fraud. Fraud audits seek to detect such practices.[6][7]

See also

References
  1. William K. Rashbaum, Once Again, a No-Show Job Plays a Role in a New York Graft Case, New York Times (October 20, 2016).
  2. Philip Carlo, Gaspipe: Confessions of a Mafia Boss (HarperCollins, 2008), p. 28.
  3. Patrick McGeehan, No-Show Jobs and Overstaffing Hurt New York Harbor, a Report Says, New York Times (March 21, 2012).
  4. Lawrence S. DiCara with Chris Black, Turmoil and Transition in Boston: A Political Memoir from the Busing Era (Hamilton Books, 2013), p. 46.
  5. Melvin G. Holli, "The Daley Era: Richard J. to Richard M." in The Mayors: The Chicago Political Tradition: The Chicago Political Tradition, 3d ed. (eds. Paul M. Green & Melvin G. Holli: Southern Illinois University Press, 2005), p. 230.
  6. Sunder Gee, Fraud and Fraud Detection: A Data Analytics Approach (John Wiley & Sons, 2015), pp. 173-74.
  7. Leonard W. Vona, The Fraud Audit: Responding to the Risk of Fraud in Core Business Systems (John Wiley & Sons, 2011), pp. 214-15.
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