The Locator -- [(subject = "Criminal behavior")]

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02146aam a22003378i 4500
001 2DCD646E86E611EB80D4A9DB35ECA4DB
003 SILO
005 20210317010020
008 200512t20212021nyua     b    001 0 eng  
010    $a 2020016034
020    $a 0367544040
020    $a 9780367544041
035    $a (OCoLC)1152456110
040    $a DLC $b eng $e rda $c DLC $d OCLCO $d OCLCF $d ERASA $d EAU $d SILO
042    $a pcc
050 00 $a HV6768 $b .G68475 2020
100 1  $a Gottschalk, Petter, $d 1950- $e author.
245 10 $a Convenience dynamics and white-collar crime / $c Petter Gottschalk.
263    $a 2009
264  1 $a Abingdon, Oxon ; $b Routledge, $c 2020.
300    $a vii, 271 pages : $b illustrations ; $c 24 cm
504    $a Includes bibliographical references and index.
520    $a "This book introduces a dynamic perspective to study white-collar crime. It argues that as personal motives change over time, so too do organizational opportunities, and willingness for deviant behaviour. The work contends that the extent of white-collar crime is dependent on the extent of crime convenience perceived and preferred by potential offenders. It discusses how potential white-collar offenders expand organizational opportunities for financial crime over time. The dynamics are illustrated here by system dynamics models to capture cause and effect relationships. The book also presents a new structural model illustrating the elements of convenience theory along with a new dynamic model illustrating the evolution of white-collar crime. The practical aspects are illustrated with a number of case studies"-- $c Provided by publisher.
650  0 $a White collar crimes.
650  0 $a Criminal behavior.
650  7 $a Criminal behavior. $2 fast $0 (OCoLC)fst00883170
650  7 $a White collar crimes. $2 fast $0 (OCoLC)fst01174622
776 08 $i Online version: $a Gottschalk, Petter. $t Convenience dynamics and white-collar crime $d Abingdon, Oxon ; New York, NY : Routledge, 2020. $z 9781003089155 $w (DLC)  2020016035
941    $a 1
952    $l OVUX522 $d 20220526014525.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=2DCD646E86E611EB80D4A9DB35ECA4DB

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