Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
White-Collar Crime: An Opportunity Perspective analyzes white-collar crime using the opportunity perspective, which assumes that all crimes depend on offenders recognizing an opportunity to commit an offense. The authors explicate the processes and situational conditions that facilitate opportunities for white-collar crimes and the likelihood of being victimized by white-collar crime. In addition, they offer potential policy solutions that will mitigate this persistent and widespread social problem while being realistic and balanced in their treatment of the difficulties of control. With this fourth edition, Benson and Simpson have enlisted the aid of two young white-collar crime scholars, Jay P. Kennedy and Melissa Rorie, who bring new areas of expertise to the book that enhance its analytical depth and coverage of both white-collar crime and the opportunity perspective. New up-to-date case studies are included along with examinations of recent investigations into white-collar crime and its control. These timely updates reaffirm that this rigorous yet accessible book will remain a core resource for undergraduate and early graduate courses on white-collar crime.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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