| Futures studies |
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| Concepts |
| Techniques |
| Technology assessment and forecasting |
The chain-linked model or Kline model of innovation was introduced by mechanical engineer Stephen J. Kline in 1985, [1] and further described by Kline and economist Nathan Rosenberg in 1986. [2] The chain-linked model is an attempt to describe complexities in the innovation process. The model is regarded as Kline's most significant contribution. [3]
In the chain-linked model, new knowledge is not necessarily the driver for innovation. Instead, the process begins with the identification of an unfilled market need. This drives research and design, then redesign and production, and finally marketing, with complex feedback loops between all the stages. There are also important feedback loops with the organization's and the world's stored base of knowledge, with new basic research conducted or commissioned as necessary, to fill in gaps.
It is often contrasted with the so-called linear model of innovation, [4] in which basic research leads to applied development, then engineering, then manufacturing, and finally marketing and distribution.
The Kline model was conceived primarily with commercial industrial settings in mind, but has found broad applicability in other settings, for example in military technology development. [5] Variations and extensions of the model have been described by a number of investigators. [6] [7] [8]
A business model describes how an organization creates, delivers, and captures value, in economic, social, cultural or other contexts. The process of business model construction and modification is also called business model innovation and forms a part of business strategy.
Innovation is the practical implementation of ideas that result in the introduction of new goods or services or improvement in offering goods or services. ISO TC 279 in the standard ISO 56000:2020 defines innovation as "a new or changed entity realizing or redistributing value". Others have different definitions; a common element in the definitions is a focus on newness, improvement, and spread of ideas or technologies.
In business and engineering, new product development (NPD) covers the complete process of bringing a new product to market, renewing an existing product or introducing a product in a new market. A central aspect of NPD is product design, along with various business considerations. New product development is described broadly as the transformation of a market opportunity into a product available for sale. The products developed by an organisation provide the means for it to generate income. For many technology-intensive firms their approach is based on exploiting technological innovation in a rapidly changing market.
A value chain is a progression of activities that a firm operating in a specific industry performs in order to deliver a valuable product to the end customer. The concept comes through business management and was first described by Michael Porter in his 1985 best-seller, Competitive Advantage: Creating and Sustaining Superior Performance.
The idea of the value chain is based on the process view of organizations, the idea of seeing a manufacturing organization as a system, made up of subsystems each with inputs, transformation processes and outputs. Inputs, transformation processes, and outputs involve the acquisition and consumption of resources – money, labour, materials, equipment, buildings, land, administration and management. How value chain activities are carried out determines costs and affects profits.
A feed forward is an element or pathway within a control system that passes a controlling signal from a source in its external environment to a load elsewhere in its external environment. This is often a command signal from an external operator.
Theories of technological change and innovation attempt to explain the factors that shape technological innovation as well as the impact of technology on society and culture. Some of the most contemporary theories of technological change reject two of the previous views: the linear model of technological innovation and other, the technological determinism. To challenge the linear model, some of today's theories of technological change and innovation point to the history of technology, where they find evidence that technological innovation often gives rise to new scientific fields, and emphasizes the important role that social networks and cultural values play in creating and shaping technological artifacts. To challenge the so-called "technological determinism", today's theories of technological change emphasize the scope of the need of technical choice, which they find to be greater than most laypeople can realize; as scientists in philosophy of science, and further science and technology often like to say about this "It could have been different." For this reason, theorists who take these positions often argue that a greater public involvement in technological decision-making is desired.
Open innovation is a term used to promote an information age mindset toward innovation that runs counter to the secrecy and silo mentality of traditional corporate research labs. The benefits and driving forces behind increased openness have been noted and discussed as far back as the 1960s, especially as it pertains to interfirm cooperation in R&D. Use of the term 'open innovation' in reference to the increasing embrace of external cooperation in a complex world has been promoted in particular by Henry Chesbrough, adjunct professor and faculty director of the Center for Open Innovation of the Haas School of Business at the University of California, and Maire Tecnimont Chair of Open Innovation at Luiss.
Design thinking refers to the set of cognitive, strategic and practical procedures used by designers in the process of designing, and to the body of knowledge that has been developed about how people reason when engaging with design problems.
The technology adoption lifecycle is a sociological model that describes the adoption or acceptance of a new product or innovation, according to the demographic and psychological characteristics of defined adopter groups. The process of adoption over time is typically illustrated as a classical normal distribution or "bell curve". The model indicates that the first group of people to use a new product is called "innovators", followed by "early adopters". Next come the early majority and late majority, and the last group to eventually adopt a product are called "Laggards" or "phobics." For example, a phobic may only use a cloud service when it is the only remaining method of performing a required task, but the phobic may not have an in-depth technical knowledge of how to use the service.
Service innovation is used to refer to many things. These include but not limited to:
Innovation management is a combination of the management of innovation processes, and change management. It refers to product, business process, marketing and organizational innovation. Innovation management is the subject of ISO 56000 series standards being developed by ISO TC 279.
The Linear Model of Innovation was an early model designed to understand the relationship of science and technology that begins with basic research that flows into applied research, development and diffusion
The technological innovation system is a concept developed within the scientific field of innovation studies which serves to explain the nature and rate of technological change. A Technological Innovation System can be defined as ‘a dynamic network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure and involved in the generation, diffusion, and utilization of technology’.
Living labs are open innovation ecosystems in real-life environments using iterative feedback processes throughout a lifecycle approach of an innovation to create sustainable impact. They focus on co-creation, rapid prototyping & testing and scaling-up innovations & businesses, providing joint-value to the involved stakeholders. In this context, living labs operate as intermediaries/orchestrators among citizens, research organisations, companies and government agencies/levels.
Innovation Intermediaries is a concept in innovation studies to help understand the role of firms, agencies and individuals that facilitate innovation by providing the bridging, brokering, knowledge transfer necessary to bring together the range of different organisations and knowledge needed to create successful innovation. The term open innovation intermediaries was used for this concept by Henry Chesbrough in his 2006 book as "companies that help other companies implement various facets of open innovation".
Demand articulation is a concept developed within the scientific field of innovation studies which serves to explain learning processes about needs for new and emerging technologies. Emerging technologies are technologies in their early phase of development, which have not resulted in concrete products yet. Many characteristics of these technologies, such as the technological aspects but also the needs of users concerning the technology, have not been specified yet. Demand articulation can be defined as ‘iterative, inherently creative processes in which stakeholders try to address what they perceive as important characteristics of, and attempt to unravel preferences for an emerging innovation’.
Technological transitions (TT) can best be described as a collection of theories regarding how technological innovations occur, the driving forces behind them, and how they are incorporated into society. TT draws on a number of fields, including history of science, technology studies, and evolutionary economics. Alongside the technological advancement, TT considers wider societal changes such as "user practices, regulation, industrial networks, infrastructure, and symbolic meaning or culture". Hughes refers to the 'seamless web' where physical artifacts, organizations, scientific communities, and social practices combine. A technological transition occurs when there is a major shift in these socio-technical configurations.
Democratization of technology refers to the process by which access to technology rapidly continues to become more accessible to more people. New technologies and improved user experiences have empowered those outside of the technical industry to access and use technological products and services. At an increasing scale, consumers have greater access to use and purchase technologically sophisticated products, as well as to participate meaningfully in the development of these products. Industry innovation and user demand have been associated with more affordable, user-friendly products. This is an ongoing process, beginning with the development of mass production and increasing dramatically as digitization became commonplace.
This article outlines the evolution of management systems. A management system is the framework of processes and procedures used to ensure that an organization can fulfill all tasks required to achieve its objectives.
Innovation management measurement helps companies in understanding the current status of their innovation capabilities and practices. Throughout this control areas of strength and weakness are identified and the organizations get a clue where they have to concentrate on to maximize the future success of their innovation procedures. Furthermore, the measurement of innovation assists firms in fostering an innovation culture within the organization and in spreading the awareness of the importance of innovation. It also discloses the restrictions for creativity and opportunity for innovation. Because of all these arguments it is very important to measure the degree of innovation in the company, also in comparison with other companies. On the other hand, firms have to be careful not to misapply the wrong metrics, because they could threaten innovation and influence thinking in the wrong way.