MGCR 331 - Information Systems



Technology and Strategy - Netflix
Session 5



        
                                           Animesh (Ass. Prof. of Information Systems), Desautels
             Faculty of Management, McGill University
        


Key points from last class

 

  • Five forces model: helps describe an industry competition and attractiveness
  • Zara's  tech-enabled strategy and resources that provide competitive edge
  • In markets where commodity products are sold, the Internet can increase buyer power by increasing price transparency
  • For more differentiated and valuable offering, the Internet shifts bargaining power to sellers; sellers can advertise to a wider customer base and can demand higher prices

Today' ClaSS


  • Gallaugher Chapter 4 : Netflix
    • How technology helps firms craft and reinforce a competitive advantage
    • Technology and Long Tail

NetFLIX

  • Pure Play – focus on Internet Channel
    •      DVD rental – by mail
    •     Flat rate vs . per-disc; no mailing fee; no late fee;
    •     Request Queue
             
  • Highly successful business
        * Blockbuster and Walmart also could not compete

Sources OF COMPETITIVE ADVANTAGE

SCALE


  •      Huge subscriber base
  •     How?
  •    Created differentiated service
  •    Provided great customer experience
  •    selection, recommendations, timely delivery, convenient, low cost
  •     So?
  •    Lower avg. cost => tough for rivals to compete on price
  •    $300m for 14m subscriber vs. $300m for 2.2m subscriber

Bonus Slide

VALUE CHAIN


  •   Network of ultra high-tech distribution channel
    •    Custom built sorters, send emails, scanners reroute incoming DVDs, presorts outgoing DVDs (lowers postal rate)
    •    Monitors and record failures
  •   Located close to USPS facilities
    •    Allows serving 97% base within 2 day window
    •    Monitors and record failures

  •   Connected to Cinematch software
    •    To avoid recommending movies that are not in stock

DATA

  •      Cinematch Software (recommendation system)
  •     Matches content with consumers -> increase efficiency
  •    Gross average user rating vs. ratings from users who are similar to you ( collaborative filtering )
      * gold standard; Constantly tweaking; used crowdsourcing