China
Africa
Explore chapters and articles related to this topic
Limitations of the construction industry's approach
Published in Jim Mason, Innovating Construction Law, 2021
The construction industry is not alone in taking a short-term view of developments and discounting these as flashes in the pan. A rather more positive long-term spin is put on this by the Gartner hype cycle. The “hype cycle” divides technological advances into those enjoying a technology trigger through to a peak of inflated expectations followed by a trough of disillusionment.15 Happily, these setbacks are then followed by a slope of enlightenment and a plateau or productivity. The hype cycle has been criticised for a lack of evidence and for having misleading terms, as every technology does not follow the same pattern. This is to the miss the point that the hype cycle allows us to marvel at the mysterious emerging technologies some of which apparently sink without trace never to be heard of again. The hype cycle also draws on the work relating to techno-economic paradigm shifts.16 This body of work may seek to establish that even technologies that do not directly succeed still have their role to play in future-shaping.
From Gods to Geeks – A Brief History of AI
Published in Tom Lawry, AI in Health, 2020
Today we better understand that patterns exist in the creation and adoption of new technology. The best depiction of this is Gartner’s Hype Cycle, which is a graphical depiction of a common pattern that arises with each new technology or other innovation. The five phases in the Hype Cycle are Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity.15
Finance, Digital Disruption, and Sustainability
Published in Mohammed El Amine Abdelli, Wissem Ajili-Ben Youssef, Uğur Özgöker, Imen Ben Slimene, Big Data for Entrepreneurship and Sustainable Development, 2021
Wissem Ajili-Ben Youssef, Imen Ben Slimene
In 2019, the Gartner Institute1 established a Hype Cycle for digital banking transformation [19]. The Hype Cycle aims to (1) identify new technologies with a significant impact on the banking industry in the short to medium term; and (2) establish the phase in which each technology is based on its degree of maturity. The Hype Cycle is a five-phase curve through which an emerging technology should pass before reaching the large-scale production stage. The phases of the Hype Cycle are the following:The enthusiasm of the beginning (Innovation Trigger): This is the launch phase of new technology or a prototype;The peak of excessive expectations (Peak of Inflated Expectations): During this second phase characterized by a media frenzy for the new technology, users’ expectations are disproportionate and unrealistic. The new technology is being exploited and disseminated instead by startups;The chasm of disillusionment (Trough of Disillusionment): The products developed during this phase are below expectations, which results in media disappointment around the new technology;The Return to Grace (Slope of Enlightenment): During this phase, second-generation products and services are developed by the most persistent companies. New technology is beginning to find a way to make their promises a realization; andThe success or the mass production phase (Plateau of Productivity): During this last phase, the technology is mature enough to develop new products and services called the third generation.
How will the diffusion of additive manufacturing impact the raw material supply chain process?
Published in International Journal of Production Research, 2020
Maximilian Kunovjanek, Gerald Reiner
The adoption of AM and its impacts on manufacturing and especially the supply chain has faced considerable hype throughout the different development stages of the technology. The so-called Gartner Hype Cycle says that most emerging technologies go through something called a ‘Peak of Inflated Expectations’, a phase during which the technology faces overenthusiasm and unrealistic projections (Walker 2017). Therefore, during this section, the authors not only analyse the relevant literature in the field but also distinguish between articles that clearly provide evidence and those that merely suggest certain outcomes. To be able to answer the research question however, it is necessary to analyse the literature with a focus on materials saving in regard to the supply chain related impacts, the degree of adoption of AM, the proportion of total manufacturing that could potentially be substituted by AM, and the so-called Saving Factor, which depicts the potential materials saving.
The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing
Published in International Journal of Production Research, 2021
Ajit Sharma, Zhibo Zhang, Rahul Rai
The hype cycle is widely followed by industry and is popular as a tool for deciding on technology investments. This probably owes to the significant benefit it provides to decision makers by collating and providing a snapshot of all technological developments in a single artefact. The following introductory quote from Garner's 2014 special report on hype cycles (Burton and Willis 2014) suggests its proposed use as an IT-strategising tool.