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The term disruptive technologies was coined by Clayton M. Christensen and introduced in his 1995 article Disruptive Technologies: Catching the Wave, [11] which he cowrote with Joseph Bower. The article is aimed at both management executives who make the funding or purchasing decisions in companies, as well as the research community, which is ...
This is a list of obsolete technology, superseded by newer technologies. Obsolescence is defined as the "transition from available to unavailable from the manufacturer in accordance with the original specification." [1] Newer technologies can mostly be considered as disruptive innovation. Many older technologies co-exist with newer alternatives ...
The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail, first published in 1997, is the best-known work of the Harvard professor and businessman Clayton Christensen. It expands on the concept of disruptive technologies, a term he coined in a 1995 article "Disruptive Technologies: Catching the Wave". [1]
This is a list of emerging technologies, which are in-development technical innovations that have significant potential in their applications. The criteria for this list is that the technology must: Exist in some way; purely hypothetical technologies cannot be considered emerging and should be covered in the list of hypothetical technologies ...
Clayton Magleby Christensen (April 6, 1952 – January 23, 2020) was an American academic and business consultant who developed the theory of "disruptive innovation", which has been called the most influential business idea of the early 21st century.
The term describes manufacturing enabled by digital technologies, advanced systems and processes and a highly trained and knowledgeable workforce. [1] The new manufacturing economy integrates networks, 3D printers and other proficiencies into business strategies to further develop manufacturing practices. [2]
Some of the key technologies in the smart manufacturing movement include big data processing capabilities, industrial connectivity devices and services, and advanced robotics. [5] Graphic of a sample manufacturing control system showing the interconnectivity of data analysis, computing and automation. [6]
the definition of what is "easy" expands as information technology progresses, and the work that lies beyond "easy" may require greater brainpower than most people have. This second view is supported by many modern advocates of the possibility of long-term, systemic technological unemployment.