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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, [13] 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 ...
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]
Agile Manufacturing is a modern production approach that enables companies to respond swiftly and flexibly to market changes while maintaining quality and cost control. This methodology is designed to create systems that can adapt dynamically to changing customer demands and external factors such as market trends or supply chain disruptions.
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 ...
Disruptive innovation is often enabled by disruptive technology. ... and management style can ... precision manufacturing, information technology, ...
It was created by John R. Costanza, an executive with operations management experience at Hewlett Packard and Johnson & Johnson. [1] Costanza, who was later nominated as a Nobel Laureate in Economics for Working Capital Management, founded the John Costanza Institute of Technology in Englewood, CO in 1984 to provide consulting and education services for manufacturers to implement the methodology.
Smart manufacturing leverages big data analytics to optimize complex production processes and enhance supply chain management. [7] Big data analytics refers to a method for gathering and understanding large data sets in terms of what are known as the three V's, velocity, variety and volume.
Emerging technologies are technologies whose development, practical applications, or both are still largely unrealized. These technologies are generally new but also include old technologies finding new applications. Emerging technologies are often perceived as capable of changing the status quo.