examining the role of differential association and techniques of neutralization in explaining corporate crime

Nicole Leeper Piquero, Stephen G. Tibbetts, Michael B. Blankenship

Deviant Behavior · 2005 · 227 citations · 44 references

Concepts

Abstract

Abstract A limited number of studies have examined white-collar offending decision making patterns and virtually none have focused on testing Differential Association or Techniques of Neutralization theory in particular. This study evaluates the offending decisions of MBA students to commit corporate offending in the promotion/sales of a hypothetical pharmaceutical drug. The sample consisted of 133 MBA students enrolled at a university in the United States. Findings supported predictions that anticipated agreement of coworkers and the board of directors would be positively associated with decisions to further market and produce a hypothetical drug that was about to be recalled by the Food and Drug Administration. However, results also showed that the decision to commit corporate crime was inversely related to perceptions that close friends and business professors agree with the decision, which went against predictions based on differential association theory. Several neutralizing techniques—especially the beliefs that government exaggerates dangers to the consumer and profit is the most important priority—predicted the decision to further market the drug. Subsequent analyses showed that older respondents were more likely to employ techniques of neutralization in decisions to commit corporate crime, especially techniques relating to profits. Future research directions are outlined. Notes 1We recognize and appreciate the concerns associated with student samples. However, two aspects of this type of sample are appealing. First, corporate crime decision-making data do not exist in the community nor at the national level. Second this sample is comprised of what will be the future leaders of business and therefore are in a unique position to provide valuable information. The average age of the sample is 30 and many respondents have professional business experience. 2Much of the decision-making research uses hypothetical scenarios to solicit offending intentions. Extant research shows a strong correlation between projected and actual behavior (Green Citation1989; Kim and Hunter Citation1993), and Pogarsky's (Citation2004) recent research details this relationship. *p < .05, two-tailed; **p < .01, two-tailed. *p < .05, two-tailed; **p < .01, two-tailed. *p < .05, two-tailed; **p < .01, two-tailed. *p < .05, two-tailed; **p < .01, two-tailed. *p < .05, two-tailed; **p < .01, two-tailed. 3A coefficient comparison test (Paternoster et al. Citation1998) indicated that the effects for profit most important ( Z = 3.10) and anything to make a profit ( Z = 1.85) were significantly different across older and younger respondents.

References

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