Innovation Decisions: Using the Gartner Hype Cycle

Lajoie, Evviva Weinraub; Bridges, Laurie

doi:10.5860/llm.v28i4.7083

Cited by 4 publications

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“…The model consists of five phases. The naming of the phases refers to the phraseology associated with mountain trips [Weinraub, Bridges 2014].…”

Section: Gartner Hype Cycle Of Nature Based Solutions In Agriculturementioning

confidence: 99%

Nature Based Innovations in the Development of Bioeconomy

Maciejczak

2023

Annals PAAAE

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The main purpose of the article was to present the benefits and challenges related to the bioeconomy as a subsector of the economy, as well as the impact of the biological revolution on the bioeconomy. The market readiness of various nature-based innovations in agriculture was also assessed. The bioeconomy was found to be a right path to sustainable development, addressing social and environmental challenges while supporting economic growth. Thus, it determines a more resilient and resource-efficient development. Nature-based innovations harness the power of natures resilience, efficiency and adaptability to meet societal challenges in a sustainable way. These innovations offer promising economic solutions while increasing the protection of biodiversity and the health of ecosystems. Based on feedback from key stakeholders, the Garther Hype Cycle model was developed. The productivity phase is reached by those technologies and products that have managed to break out of their niche and gain widespread acceptance. In the analysis, this level was achieved by biological control and the use of beneficial microorganisms. Biological control in particular has been identified as a nature-based technology that dominates todays agriculture and will increase in importance in the future.

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“…The model consists of five phases. The naming of the phases refers to the phraseology associated with mountain trips [Weinraub, Bridges 2014].…”

Section: Gartner Hype Cycle Of Nature Based Solutions In Agriculturementioning

confidence: 99%

Nature Based Innovations in the Development of Bioeconomy

Maciejczak

2023

Annals PAAAE

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“…2. Relations between maturity, perfection, and diffusion (acceptance) of innovationSource: Prepared by the author based on(Mettler, 2011;Lajoie & Bridges, 2014).…”

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confidence: 99%

Information technology maturity and acceptance models integration: the case of RDS

Nahotko

2023

ZIN

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Purpose/Thesis: This article presents three methods for evaluating technological innovations, with a particular focus on information technology innovations such as information systems and services. These methods include assessing maturity, the diffusion of innovative information technologies, and their acceptance. The aim is to indicate the complementarity of these methods, which makes their integrated application appropriate. Approach/Methods: There are two types of theories that take into account the perspectives of both the creators of information technologies (technology maturity models) and their users (technology acceptance models). The article attempts to identify the commonalities between these models to enable their joint use. The joint application of these models is demonstrated through an example using research data services (RDS) maturity models. Six RDS maturity models known from the literature were analyzed from the perspective of their completeness using the technology acceptance model (TAM). Results and conclusions: This approach enables the assessment of maturity models from the perspective of RDS users’ needs, affecting the level of their acceptance. The results indicate that existing RDS maturity models do not sufficiently consider the needs and perspectives of their users, hindering the acceptance of the technology. Originality/Value: The article demonstrates a new point of view on information systems assessment, which serves to integrate two previously used methods of assessing the IS: maturity models and innovative information technologies acceptance models. The article proposes combining both methods to obtain a more coherent and universal research tool.

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Obtaining More Specific Topics and Detecting Weak Signals by Topic Word Selection

Kölbl

Grottke

2020

Springer Series in Reliability Engineering

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Innovation Decisions: Using the Gartner Hype Cycle

Cited by 4 publications

References 0 publications

Nature Based Innovations in the Development of Bioeconomy

Nature Based Innovations in the Development of Bioeconomy

Information technology maturity and acceptance models integration: the case of RDS

Obtaining More Specific Topics and Detecting Weak Signals by Topic Word Selection

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