Building Innovation Learning Outcomes 1.Compare disruptive and sustaining technologies and explain how the Internet and WWW caused business disruption 2.Describe Web 1.0 along with eBusiness and its associated advantages 13-1
Concepts 1.HTTP, HTML, URL, WWW 2.Banner ad, pop up ad, click through ad, cookie 3.Digital Darwinism – Why did Polaroid go bankrupt? 4.Web Disruptive versus Sustaining Technologies 6.Innovator’s Dilemma 7.Ultimate Business Disrupters 8.Ecommerce 9.Ebusiness 10.The Long Tail
Disruptive versus Sustaining Technology Innovator’s Dilemma (Clayton Christensen) – take advantage of disruptive technologies without hindering existing relationships with customers, partners, and stakeholders – What did exactly went wrong with Xerox, IBM, Sears, and DEC? – Why did Polaroid go bankrupt?
An Ultimate Business Disruptor WHAT was the disruptor – The Internet and the World Wide Web – DARPA/ARPANET HOW did it work? – Organizations must be able to transform as markets, economic environments, and technologies change WHY did it help businesses succeed? – Focusing on the unexpected allowed organizations to capitalize on the opportunity for new business growth
How did the Internet/WWW affect … The following Industries … 1.Automobile – Brokering (used car sellers/buyers) 2.Publishing – Anyone can publish online content, e. g. Lulu.comLulu.com 3.Education/Training – Recertification for Doctors, Cisco certifications 4.Entertainment – Buying/selling music online 5.Retail – Online retail growing 10% annually ($250 billion in 2014) 6.Travel – E.g. Expedia.com
The Long Tail - Chris Anderson … is the tail of a typical sales curve … e.g. Netflix/Blockbuster 1.How would you create a long tail? 2.What are its disadvantages? 3.What are the constraints of a long tail?
Opening New Markets What points does the figure suggest? Different types of mediation: 1.Cybermediation 2.Disintermediation 3.Reintermediation
Improving Effectiveness Clickstream data tracks the exact pattern of a consumer’s navigation through a website Clickstream data can reveal – Number of pageviews – Pattern of websites visited – Length of stay on a website – Date and time visited – Number of customers with shopping carts – Number of abandoned shopping carts For example: WebTrendsWebTrends
Think about it: Measuring eBusiness Effectiveiness Consider what website/clickstream metrics you would use to measure your website’s effectiveness.