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Stian Danenbarger

"Unleashing the Potential of the European Knowledge Economy: Value Proposition for Ente... - 0 views

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    So far, most investments in EI have been driven by a focus on an increase in efficiency and topdown change of business processes in relatively static value chains. Typical deployment of EI has been based on the idea of an enterprise-wide "big bang" transition to a new "best way of working", pre-conceived largely by a corporate elite of engineers and analysts. The resulting system and the related procedures were supposed to enforce this way of working and make sure that the enterprise would reap the benefits (of efficiency) for some time to come, by discouraging subsequent unofficial forms of smaller-scale and/or bottom-up change. This approach was very much enterprise centric and typically weak in accommodating subsequent change. It is however no longer adequate, because enterprises increasingly need to rely on bottom-up initiative, emergence and flexibility, in order to remain competitive. Due to fierce global competition, enterprises can no longer survive with a focus on efficiency and producing more of the same (for a lower price). Instead, enterprises need to concentrate on value innovation and producing more of not the same (with higher margins). To this end enterprises operate increasingly in dynamic value networks.Therefore EI should be geared towards leveraging creativity, collaboration and change in more dynamic networks to release its full potential as an instrument for value creation. A new objective for EI should be: To stimulate value creation based on innovation and co-creation in a context of networked enterprises that is very much defined bottom-up, by creative, committed workers.
Jack Park

Sense-Making Studies - 0 views

  • On this site, Sense-Making (capitalized) refers to the methodology; sense-making (not capitalized) refers to the phenomena of making and unmaking of sense.
    • Andy Streich
       
      note special use of the term as Brenda Dervin's methodology
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    a particular methodology of Brenda Dervin
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    Sense-Making is an approach to thinking about and implementing communication research and practice and the design of communication-based systems and activities. It consists of a set of philosophical assumptions, substantive propositions, methodological framings, and methods. It has been applied in myriad settings (e.g., libraries, information systems, media systems, web sites, public information campaigns, classrooms, counseling services, and so on), at myriad levels (e.g., intrapersonal, interpersonal, small group, organizational, mass, national, global), and within myriad perspectives (e.g., constructivist, critical, cultural, feminist, postmodern, communitarian). The approach has been developed by Brenda Dervin and is being expanded, transformed, and enriched daily by the efforts of some 100-plus persons worldwide (academics and practitioners, teachers and students). This web site is designed to provide access to these efforts and links to those who are involved. On this site, Sense-Making (capitalized) refers to the methodology; sense-making (not capitalized) refers to the phenomena of making and unmaking of sense.
Swarna Srinivasan

Automotive technology: The connected car | The Economist - 0 views

  • A modern car can have as many as 200 on-board sensors, measuring everything from tyre pressure to windscreen temperature. A high-end Lexus contains 67 microprocessors, and even the world’s cheapest car, the Tata Nano, has a dozen. Voice-driven satellite navigation is routinely used by millions of people. Radar-equipped cruise control allows vehicles to adjust their speed automatically in traffic. Some cars can even park themselves. document.write(''); Once a purely mechanical device, the car is going digital. “Connected cars”, which sport links to navigation satellites and communications networks—and, before long, directly to other vehicles—could transform driving, preventing motorists from getting lost, stuck in traffic or involved in accidents. And connectivity can improve entertainment and productivity for both driver and passengers—an attractive proposition given that Americans, for example, spend 45 hours a month in their cars on average. There is also scope for new business models built around connected cars, from dynamic insurance and road pricing to car pooling and location-based advertising. “We can stop looking at a car as one system,” says Rahul Mangharam, an engineer at the University of Pennsylvania, “and look at it as a node in a network.”
  • The best known connected-car technology is satellite navigation, which uses the global-positioning system (GPS) in conjunction with a database of roads to provide directions and find points of interest. In America there were fewer than 3m navigational devices on the road in 2005, nearly half of which were built in to vehicles. But built-in systems tend to be expensive, are not extensible, and may quickly be out of date. So drivers have been taking matters into their own hands: of the more than 33m units on the road today, nearly 90% are portable, sitting on the dashboard or stuck to the windscreen.
  • Zipcar, the largest car-sharing scheme, shares 6,000 vehicles between 275,000 drivers in London and parts of North America—nearly half of all car-sharers worldwide. Its model depends on an assortment of in-car technology. “This is the first large-scale introduction of the connected car,” claims Scott Griffith, the firm’s chief executive
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  • Zipcar’s available vehicles report their positions to a control centre so that members of the scheme can find nearby vehicles through a web or phone interface. Cars are unlocked by holding a card, containing a wireless chip, up against the windscreen. Integrating cars and back-office systems via wireless links allows Zipcar to repackage cars as a flexible transport service. Each vehicle operated by Zipcar is equivalent to taking 20 cars off the road, says Mr Griffith, and an average Zipcar member saves more than $5,000 dollars a year compared with owning a car.
  • “It is a chicken and egg problem,” says Dr Mangharam, who estimates it would take $4.5 billion to upgrade every traffic light and junction in America with smart infrastructure
  • And adoption of the technology could be mandated by governments, as in the case of Germany’s Toll Collect system, a dynamic road-tolling system for lorries of 12 tonnes or over that has been operating since late 2004. Toll Collect uses a combination of satellite positioning, roadside sensors and a mobile-phone data connection to work out how much to charge each user. Over 900,000 vehicles are now registered with the scheme and there are plans to extend this approach to road-tolling across Europe from 2012. Eventually it may also be extended to ordinary cars.
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