World Model · podcast knowledge graph

MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams

2018-07-02 · 10 min · 14 entities

Asserted relationships

  • → hosted by Omar Zenhom person
    0.55
    evidence rules-v5
    Feed author/publisher: Omar Zenhom
  • → discusses Business company
    0.40
    evidence rules-v5
    Feed category: Business
  • → discusses Entrepreneurship website
    0.40
    evidence rules-v5
    Feed category: Entrepreneurship
  • → discusses Careers website
    0.40
    evidence rules-v5
    Feed category: Careers
  • → discusses Marketing concept
    0.40
    evidence rules-v5
    Feed category: Marketing
  • → references GgRPPHi website
    0.38
    evidence rules-v5
    Link in episode "MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams": https://lm.fm/GgRPPHi
  • → references Bookreviews website
    0.38
    evidence rules-v5
    Link in episode "MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams": https://100mba.net/bookreviews

Entities found in this episode

websites 8

  • mentioned Entrepreneurship website
    0.50
    evidence rules-v5
    Feed category: Entrepreneurship
  • mentioned Careers website
    0.50
    evidence rules-v5
    Feed category: Careers
  • mentioned GgRPPHi website
    0.45
    evidence rules-v5
    Link in episode "MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams": https://lm.fm/GgRPPHi
  • mentioned Bookreviews website
    0.45
    evidence rules-v5
    Link in episode "MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams": https://100mba.net/bookreviews
  • discusses Entrepreneurship website
    0.40
    evidence rules-v5
    Feed category: Entrepreneurship
  • discusses Careers website
    0.40
    evidence rules-v5
    Feed category: Careers
  • references GgRPPHi website
    0.38
    evidence rules-v5
    Link in episode "MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams": https://lm.fm/GgRPPHi
  • references Bookreviews website
    0.38
    evidence rules-v5
    Link in episode "MBA1038 Must Read: How to Fail at Almost Everything and Still Win Big by Scott Adams": https://100mba.net/bookreviews

persons 2

  • mentioned Omar Zenhom person
    0.70
    evidence rules-v5
    Feed author/publisher: Omar Zenhom
  • hosted by Omar Zenhom person
    0.55
    evidence rules-v5
    Feed author/publisher: Omar Zenhom

companys 2

  • mentioned Business company
    0.50
    evidence rules-v5
    Feed category: Business
  • discusses Business company
    0.40
    evidence rules-v5
    Feed category: Business

concepts 2

  • mentioned Marketing concept
    0.50
    evidence rules-v5
    Feed category: Marketing
  • discusses Marketing concept
    0.40
    evidence rules-v5
    Feed category: Marketing
Episode description as stored
Sometimes, the best advice comes from unexpected places. Scott Adams is a cartoonist, but anyone who’s read his classic comic strip Dilbert knows he’s an expert in business and corporate culture. A sarcastic, controversial expert, but an expert nonetheless. After repeated recommendations, we finally got around to reading Adams’ 2013 best-seller, How to Fail at Almost Everything and Still Win Big . This book is unconventional, brimming with Adams’ frank, take-it-or-leave-it approach to understanding success. Love it or hate it, this book has as many valuable insights as hard opinions. We have to recommend challenging your thinking by giving this book a read. Today, we discuss some of the book’s key takeaways, what makes it so appropriate for entrepreneurs, and how your attitude towards success can manifest real-world results. Click Play! Audible Discover all our must-read book reviews at  https://100mba.net/bookreviews . Watch the episodes on YouTube:  https://lm.fm/GgRPPHi SUBSCRIBE YouTube |  Apple Podcast | Spotify |  Podcast Feed Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.