MIS Chapter 5&7

• Disruptive tech characteristics:

  • Enter the market with performance attributes that existing customers don't value
  • Over time, performance attributes improve to the point where they invade established markets
• Disruptive tech indicators:

  • Focus on the long term
  • Read and talk to people
• Innovation trigger:

  • A breakthrough, public demonstration, product launch, or other event sparks media and industry interest in a technology or other type of innovation
• Peak of inflated expectations:

  • Excitement and expectations for the innovation exceed the reality of its current capability
  • In some cases, a financial bubble may form around the innovation
• Trough of disillusionment:

  • Original overexcitement about the innovation dissipates
  • Disillusionment sets in due to performance issues, slower-than-expected adoption, or failure to deliver timely financial return
• Slope of enlightenment:

  • Early adopters overcome initial hurdles and begin to see the benefits of the innovation
  • Organizations gain a better understanding of where and how the innovation will deliver significant value by learning from early adopters' experiences
• Plateau of productivity:

  • The innovation has demonstrated real-world productivity and benefits
  • More organizations feel comfortable with the greatly reduced level of risk
  • A sharp uptick in adoption begins until the innovation becomes mainstream
• Responding to disruption:

  • Build a portfolio of options to invest in a startup
• The Gartner hype cycle stages:

  • Innovation trigger
  • Peak of inflated expectations
  • Trough of disillusionment
  • Slope of enlightenment
  • Plateau of productivity
• Bitcoin:

  • An open-source decentralized payment system that operates in a peer-to-peer environment without a bank or central authority
• Cryptocurrency:

  • A digital asset where secure mathematics is used to handle transactions, control the creation of additional units, and verify the transfer of assets (uses blockchain)
• Blockchain:

  • A distributed and decentralized ledger that records and verifies transactions and ownership
  • Makes it difficult to tamper with or shut down
• Collaborative filtering:

  • Classification of software that monitors trends among customers and uses the data to personalize an individual customer's experience
• Down churn rate:

  • Rate at which customers leave a product or service
• Windowing:

  • Making content available to a given distribution channel for a specific time window, usually under a different revenue model
• Transfer Pricing:

  • Price paid when divisions are faced with an overwhelming number of choices
• Congestion Effect:

  • Increasing number of users lower the value of a product or service
• Machine learning:

  • Type of AI that leverages massive amounts of data so computers can improve the accuracy of actions and predictions on their own without additional programming
• A/B tests:

  • Experiments comparing two alternatives, A and B, to find out which performs better
• 3 core data asset tenets:

  1. Accessibility - easy to discover, easy to process for everyone

  2. Visualization - easier to explain the data if it can be visualized

  3. Value - longer to find, less valuable it becomes