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Disruptive innovation

In business theory, disruptive innovation is innovation that creates a new market and value network or enters at the bottom of an existing market and eventually displaces established market-leading firms, products, and alliances. In theory, disruptive innovation makes it hard for leading firms to stay at the top of their industry. The term, "disruptive innovation" was popularized by the American academic Clayton Christensen and his collaborators beginning in 1995.

Usage history
'''Christensen's types of innovation''' ;Sustaining :An innovation that does not significantly affect existing markets. It may be either: ;Evolutionary :An innovation that improves a product in an existing market in ways that customers are expecting (e.g., fuel injection for gasoline engines, which displaced carburetors.) ;Revolutionary (discontinuous but sustaining) :An innovation that is unexpected, but nevertheless does not affect existing markets (e.g., the first automobiles in the late 19th century, which were expensive luxury items, and as such very few were sold) ;Disruptive :An innovation that creates a new market or enters at the bottom of an existing market by providing a different set of values, which ultimately (and unexpectedly) overtakes incumbents (e.g., the lower-priced, affordable Ford Model T, which displaced horse-drawn carriages) The term disruptive technologies was coined by Clayton M. Christensen and introduced in his 1995 article Disruptive Technologies: Catching the Wave, which he cowrote with Joseph Bower. Similar ideas had previously been described in Richard N. Foster's book ''Innovation: The Attacker's Advantage and in the paper "Strategic responses to technological threats", as well as by Joseph Schumpeter in the book Capitalism, Socialism and Democracy'' (as creative destruction). 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 largely responsible for introducing the disruptive vector to the consumer market. He describes the term further in his book ''The Innovator's Dilemma. Innovator's Dilemma explored the case of the disk drive industry (the disk drive and memory industry, with its rapid technological evolution, is to the study of technology what fruit flies are to the study of genetics, as Christensen was told in the 1990s) and the excavating and Earth-moving industry (where hydraulic actuation slowly, yet eventually, displaced cable-actuated machinery). In his sequel with Michael E. Raynor, The Innovator's Solution, Christensen replaced the term disruptive technology with disruptive innovation because he recognized that most technologies are not intrinsically disruptive or sustaining in character; rather, it is the business model'' that identifies the crucial idea that potentiates profound market success and subsequently serves as the disruptive vector. Comprehending Christensen's business model, which takes the disruptive vector from the idea borne from the mind of the innovator to a marketable product, is central to understanding how novel technology facilitates the rapid destruction of established technologies and markets by the disruptor. Christensen and Mark W. Johnson, who cofounded the management consulting firm Innosight, described the dynamics of "business model innovation" in the 2008 Harvard Business Review article "Reinventing Your Business Model". The concept of disruptive technology continues a long tradition of identifying radical technological change in the study of innovation by economists, and its implementation and execution by its management at a corporate or policy level. According to Christensen, "the term 'disruptive innovation' is misleading when it is used to refer to the derivative, or 'instantaneous value', of the market behavior of the product or service, rather than the integral, or 'sum over histories', of the product's market behavior." Definition • Disruption is a process, not a product or service, that occurs from the nascent to the mainstream • Originates in low-end (less demanding customers) or new market (where none existed) footholds • New firms do not catch on with mainstream customers until quality catches up with their standards • Success is not a requirement and some business can be disruptive but fail • New firm's business model differs significantly from incumbent Christensen continues to develop and refine the theory and has accepted that not all examples of disruptive innovation perfectly fit into his theory. For example, he conceded that originating in the low end of the market is not always a cause of disruptive innovation, but rather it fosters competitive business models, using Uber as an example. In an interview with Forbes magazine he stated: Entrepreneur Chris Dixon cited the theory for the idea that "the next big thing always starts out being dismissed as a 'toy. ==Theory==
Theory
The current theoretical understanding of disruptive innovation is different from what might be expected by default, an idea that Clayton M. Christensen called the "technology mudslide hypothesis". This is the simplistic idea that an established firm fails because it doesn't "keep up technologically" with other firms. In this hypothesis, firms are like climbers scrambling upward on crumbling footing, where it takes constant upward-climbing effort just to stay still, and any break from the effort (such as complacency born of profitability) causes a rapid downhill slide. Christensen and colleagues have shown that this simplistic hypothesis is wrong; it doesn't model reality. What they have shown is that good firms are usually aware of the innovations, but their business environment does not allow them to pursue them when they first arise, because they are not profitable enough at first and because their development can take scarce resources away from that of sustaining innovations (which are needed to compete against current competition). In Christensen's terms, a firm's existing value networks place insufficient value on the disruptive innovation to allow its pursuit by that firm. Meanwhile, start-up firms inhabit different value networks, at least until the day that their disruptive innovation is able to invade the older value network. At that time, the established firm in that network can at best only fend off the market share attack with a me-too entry, for which survival (not thriving) is the only reward. In the technology mudslide hypothesis, Christensen differentiated disruptive innovation from sustaining innovation, whose goal is to improve existing product performance. On the other hand, he defines a disruptive innovation as a product or service designed for a new set of customers. Christensen also noted that products considered as disruptive innovations tend to skip stages in the traditional product design and development process to quickly gain market traction and competitive advantage. He argued that disruptive innovations can hurt successful, well-managed companies that are responsive to their customers and have excellent research and development. These companies tend to ignore the markets most susceptible to disruptive innovations, because the markets have very tight profit margins and are too small to provide a good growth rate to an established (sizable) firm. Thus, disruptive technology provides an example of an instance when the common business-world advice to "focus on the customer" (or "stay close to the customer", or "listen to the customer") can be strategically counterproductive. While Christensen argued that disruptive innovations can hurt successful, well-managed companies, O'Ryan countered that "constructive" integration of existing, new, and forward-thinking innovation could improve the economic benefits of these same well-managed companies, once decision-making management understood the systemic benefits as a whole. Christensen distinguishes between "low-end disruption", which targets customers who do not need the full performance valued by customers at the high end of the market, and "new-market disruption", which targets customers who have needs that were previously unserved by existing incumbents. Low-end disruption "Low-end disruption" occurs when the rate at which products improve exceeds the rate at which customers can adopt the new performance. Therefore, at some point the performance of the product overshoots the needs of certain customer segments. At this point, a disruptive technology may enter the market and provide a product that has lower performance than the incumbent but that exceeds the requirements of certain segments, thereby gaining a foothold in the market. In low-end disruption, the disruptor is focused initially on serving the least profitable customer, who is happy with a good enough product. This type of customer is not willing to pay premium for enhancements in product functionality. Once the disruptor has gained a foothold in this customer segment, it seeks to improve its profit margin. To get higher profit margins, the disruptor needs to enter the segment where the customer is willing to pay a little more for higher quality. To ensure this quality in its product, the disruptor needs to innovate. The incumbent will not do much to retain its share in a not-so-profitable segment, and will move up-market and focus on its more attractive customers. After a number of such encounters, the incumbent is squeezed into smaller markets than it was previously serving. And then, finally, the disruptive technology meets the demands of the most profitable segment and drives the established company out of the market. New market disruption "New market disruption" occurs when a product fits a new or emerging market segment that is not being served by existing incumbents in the industry. Some scholars note that the creation of a new market is a defining feature of disruptive innovation, particularly in the way it tend to improve products or services differently in comparison to normal market drivers. It initially caters to a niche market and proceeds on defining the industry over time once it is able to penetrate the market or induce consumers to defect from the existing market into the new market it created. --> Social cost W. Chan Kim and Renée Mauborgne, the authors of Blue Ocean Strategy, also published a book in 2023, Beyond Disruption, criticizing disruptive innovation for the layoffs and social costs it tends to incur. Proactive approach A proactive approach to addressing the challenge posed by disruptive innovations has been debated by scholars. Petzold criticized the lack of acknowledgment of underlying process of the change to study the disruptive innovation over time from a process view and complexify the concept to support the understanding of its unfolding and advance its manageability. Keeping in view the multidimensional nature of disruptive innovation a measurement framework has been developed by Guo to enable a systemic assessment of disruptive potential of innovations, providing insights for the decisions in product/service launch and resource allocation. Middle managers play an important role in long term sustainability of any firm and thus have been studied to have a proactive role in exploitation of the disruptive innovation process. Criticism The extrapolation of the theory to all aspects of life has been challenged, as has the methodology of relying on selected case studies as the principal form of evidence. Jill Lepore points out that some companies identified by the theory as victims of disruption a decade or more ago, rather than being defunct, remain dominant in their industries today (including Seagate Technology, U.S. Steel, and Bucyrus). Lepore questions whether the theory has been oversold and misapplied, as if it were able to explain everything in every sphere of life, including not just business but education and public institutions. ==Disruptive technology==
Disruptive technology
In 2009, Milan Zeleny described high technology as disruptive technology and raised the question of what is being disrupted. The answer, according to Zeleny, is the support network of high technology. For example, introducing electric cars disrupts the support network for gasoline cars (network of gas and service stations). Such disruption is fully expected and therefore effectively resisted by support net owners. In the long run, high (disruptive) technology bypasses, upgrades, or replaces the outdated support network. Questioning the concept of a disruptive technology, Haxell (2012) questions how such technologies get named and framed, pointing out that this is a positioned and retrospective act. Technology, being a form of social relationship, always evolves. No technology remains fixed. Technology starts, develops, persists, mutates, stagnates, and declines, just like living organisms. The evolutionary life cycle occurs in the use and development of any technology. A new high-technology core emerges and challenges existing technology support nets (TSNs), which are thus forced to coevolve with it. New versions of the core are designed and fitted into an increasingly appropriate TSN, with smaller and smaller high-technology effects. High technology becomes regular technology, with more efficient versions fitting the same support net. Finally, even the efficiency gains diminish, emphasis shifts to product tertiary attributes (appearance, style), and technology becomes TSN-preserving appropriate technology. This technological equilibrium state becomes established and fixated, resisting being interrupted by a technological mutation; then new high technology appears and the cycle is repeated. Regarding this evolving process of technology, Christensen said: The World Bank's 2019 World Development Report on The Changing Nature of Work examines how technology shapes the relative demand for certain skills in labor markets and expands the reach of firms - robotics and digital technologies, for example, enable firms to automate, replacing labor with machines to become more efficient, and innovate, expanding the number of tasks and products. Joseph Bower explained the process of how disruptive technology, through its requisite support net, dramatically transforms a certain industry. For example, the automobile was high technology with respect to the horse carriage. It evolved into technology and finally into appropriate technology with a stable, unchanging TSN. The main high-technology advance in the offing is some form of electric car—whether the energy source is the sun, hydrogen, water, air pressure, or traditional charging outlet. Electric cars preceded the gasoline automobile by many decades and are now returning to replace the traditional gasoline automobile. The printing press was a development that changed the way that information was stored, transmitted, and replicated. This allowed empowered authors but it also promoted censorship and information overload in writing technology. Milan Zeleny described the above phenomenon. He also wrote that: Social media could be considered a disruptive innovation within sports. More specifically, the way that news in sports circulates nowadays versus the pre-internet era where sports news was mainly on TV, radio and newspapers. Social media has created a new market for sports that was not around before in the sense that players and fans have instant access to information related to sports. Disruptiveness of research articles can be estimated with CD index. ==High-technology effects==
High-technology effects
High technology is a technology core that changes the very architecture (structure and organization) of the components of the technology support net. High technology therefore transforms the qualitative nature of the TSN's tasks and their relations, as well as their requisite physical, energy, and information flows. It also affects the skills required, the roles played, and the styles of management and coordination—the organizational culture itself. This kind of technology core is different from regular technology core, which preserves the qualitative nature of flows and the structure of the support and only allows users to perform the same tasks in the same way, but faster, more reliably, in larger quantities, or more efficiently. It is also different from appropriate technology core, which preserves the TSN itself with the purpose of technology implementation and allows users to do the same thing in the same way at comparable levels of efficiency, instead of improving the efficiency of performance. On differences between high and low technologies, Milan Zeleny wrote: Not all modern technologies are high technologies, only those used and functioning as such, and embedded in their requisite TSNs. They have to empower the individual because only through the individual can they empower knowledge. Not all information technologies have integrative effects. Some information systems are still designed to improve the traditional hierarchy of command and thus preserve and entrench the existing TSN. The administrative model of management, for instance, further aggravates the division of task and labor, further specializes knowledge, separates management from workers, and concentrates information and knowledge in centers. As knowledge surpasses capital, labor, and raw materials as the dominant economic resource, technologies are also starting to reflect this shift. Technologies are rapidly shifting from centralized hierarchies to distributed networks. Nowadays knowledge does not reside in a super-mind, super-book, or super-database, but in a complex relational pattern of networks brought forth to coordinate human action. ==Examples==
Examples
In the practical world, the popularization of personal computers illustrates how knowledge contributes to the ongoing technology innovation. The original centralized concept (one computer, many persons) is a knowledge-defying idea of the prehistory of computing, and its inadequacies and failures have become clearly apparent. The era of personal computing brought powerful computers "on every desk" (one person, one computer). This short transitional period was necessary for getting used to the new computing environment, but was inadequate from the vantage point of producing knowledge. Adequate knowledge creation and management come mainly from networking and distributed computing (one person, many computers). Each person's computer must form an access point to the entire computing landscape or ecology through the Internet of other computers, databases, and mainframes, as well as production, distribution, and retailing facilities, and the like. For the first time, technology empowers individuals rather than external hierarchies. It transfers influence and power where it optimally belongs: at the loci of the useful knowledge. Even though hierarchies and bureaucracies do not innovate, free and empowered individuals do; knowledge, innovation, spontaneity, and self-reliance are becoming increasingly valued and promoted. Uber is not an example of disruption because it did not originate in a low-end or new market footholds. ==See also==
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