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Journal articles on the topic 'Evolutionary innovation'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Reader, Simon M. "Environmentally invoked innovation and cognition." Behavioral and Brain Sciences 30, no. 4 (August 2007): 420–21. http://dx.doi.org/10.1017/s0140525x07002518.

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AbstractBehavioral innovations induced by the social or physical environment are likely to be of great functional and evolutionary importance, and thus warrant serious attention. Innovation provides a process by which animals can adjust to changed environments. Despite this apparent adaptive advantage, it is not known whether innovative propensities are adaptive specializations. Furthermore, the varied psychological processes underlying innovation remain poorly understood.

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2

Kontic, Ljiljana. "Technological innovations trough the prism of evolutionary economy." Privredna izgradnja 45, no. 1-2 (2002): 125–43. http://dx.doi.org/10.2298/priz0201125k.

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In this paper author has explored the relationship between technology and organization from the perspective of evolutionary economy. The technology is seen as the key source of dynamism in economic development. This have involved a discussion of the factors shaping long term trends in technological development, the relationship of innovation to economic progress and the role of organizations as sources of innovation activity. The technological innovations arc viewed as mutations which if successful result in variations in the economic environment. Success is in part a function of environmental selection by consumers and users. In order to survive, organizations must adopt to radically new and emergent technological and market conditions ('techno-economic paradigms'). To do this they must learn how to assimilate and apply the new knowledge required to bring about and sustain innovation. Organizations move from current pathways of technological development onto the completely new trajectory offered by new technology. They must play an active role in developing strategies that strengthen their innovative capacity. These processes determinate new organizational form innovative organization.

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3

Frank, Steven A. "Puzzles in modern biology. II. Language, cancer and the recursive processes of evolutionary innovation." F1000Research 5 (September 9, 2016): 2289. http://dx.doi.org/10.12688/f1000research.9568.1.

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Human language emerged abruptly. Diverse body forms evolved suddenly. Seed-bearing plants spread rapidly. How do complex evolutionary innovations arise so quickly? Resolving alternative claims remains difficult. The great events of the past happened a long time ago. Cancer provides a model to study evolutionary innovation. A tumor must evolve many novel traits to become an aggressive cancer. I use what we know or could study about cancer to describe the key processes of innovation. In general, evolutionary systems form a hierarchy of recursive processes. Those recursive processes determine the rates at which innovations are generated, spread and transmitted. I relate the recursive processes to abrupt evolutionary innovation.

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Tebbich, Sabine, Andrea S. Griffin, Markus F. Peschl, and Kim Sterelny. "From mechanisms to function: an integrated framework of animal innovation." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1690 (March 19, 2016): 20150195. http://dx.doi.org/10.1098/rstb.2015.0195.

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Animal innovations range from the discovery of novel food types to the invention of completely novel behaviours. Innovations can give access to new opportunities, and thus enable innovating agents to invade and create novel niches. This in turn can pave the way for morphological adaptation and adaptive radiation. The mechanisms that make innovations possible are probably as diverse as the innovations themselves. So too are their evolutionary consequences. Perhaps because of this diversity, we lack a unifying framework that links mechanism to function. We propose a framework for animal innovation that describes the interactions between mechanism, fitness benefit and evolutionary significance, and which suggests an expanded range of experimental approaches. In doing so, we split innovation into factors (components and phases) that can be manipulated systematically, and which can be investigated both experimentally and with correlational studies. We apply this framework to a selection of cases, showing how it helps us ask more precise questions and design more revealing experiments.

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5

Schmidt, Karl-Heinz. "Innovation Poles." Industry and Higher Education 9, no. 1 (February 1995): 25–30. http://dx.doi.org/10.1177/095042229500900105.

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Innovative activities have dual impacts – known as the ‘process of creative destruction’. Innovations ‘destroy’ traditional production opportunities, but ‘create’ new ones. To organize innovation activities into an evolutionary process, it is necessary to investigate how to coordinate them. This includes analysis of the synergistic effects of different technological activities in specific areas or institutions. In this paper, starting from the concept of economic growth poles, the general economic arguments for innovation poles as a means of using synergy and coordinating innovation activities are outlined. The opportunities and problems in applying the concept of innovation poles in practical economic policy are then demonstrated, with empirical data from Japan and Germany. The research on which this paper is based was carried out in light of the promising experiences of R&D and technology transfer in Japan and the need for innovation and risk capital investment in Germany, especially in East Germany.

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6

Arbilly, Michal, and Kevin N. Laland. "The magnitude of innovation and its evolution in social animals." Proceedings of the Royal Society B: Biological Sciences 284, no. 1848 (February 8, 2017): 20162385. http://dx.doi.org/10.1098/rspb.2016.2385.

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Innovative behaviour in animals, ranging from invertebrates to humans, is increasingly recognized as an important topic for investigation by behavioural researchers. However, what constitutes an innovation remains controversial, and difficult to quantify. Drawing on a broad definition whereby any behaviour with a new component to it is an innovation, we propose a quantitative measure, which we call the magnitude of innovation , to describe the extent to which an innovative behaviour is novel. This allows us to distinguish between innovations that are a slight change to existing behaviours (low magnitude), and innovations that are substantially different (high magnitude). Using mathematical modelling and evolutionary computer simulations, we explored how aspects of social interaction, cognition and natural selection affect the frequency and magnitude of innovation. We show that high-magnitude innovations are likely to arise regularly even if the frequency of innovation is low, as long as this frequency is relatively constant, and that the selectivity of social learning and the existence of social rewards, such as prestige and royalties, are crucial for innovative behaviour to evolve. We suggest that consideration of the magnitude of innovation may prove a useful tool in the study of the evolution of cognition and of culture.

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7

Morrison, Douglass A. "Disruptive technology or evolutionary innovation?" Catheterization and Cardiovascular Interventions 79, no. 4 (February 17, 2012): 595–96. http://dx.doi.org/10.1002/ccd.24338.

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8

Andrew, Alex M. "An evolutionary view of innovation." Kybernetes 35, no. 7/8 (August 2006): 967–71. http://dx.doi.org/10.1108/03684920610675021.

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9

Backman, Elaine V., Magali Delmas, Kate Isaacs, Michael James Lenox, David Vogel, and Deborah Ancona. "Sustainable Innovation: the Evolutionary Journey." Academy of Management Proceedings 2015, no. 1 (January 2015): 12619. http://dx.doi.org/10.5465/ambpp.2015.12619symposium.

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10

Wagner, A. "The origins of evolutionary innovation." Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 157 (September 2010): S1—S2. http://dx.doi.org/10.1016/j.cbpa.2010.06.004.

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11

Baldwin, James S., Peter M. Allen, Keith Ridgway, and Belinda Winder. "Evolutionary systems: Modelling organisational innovation." Innovation 7, no. 4 (October 2005): 389–401. http://dx.doi.org/10.5172/impp.2005.7.4.389.

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12

Zhang, Ruihan, and Bing Sun. "A competitive dynamics perspective on evolutionary game theory, agent-based modeling, and innovation in high-tech firms." Management Decision 58, no. 5 (June 26, 2019): 948–66. http://dx.doi.org/10.1108/md-06-2018-0666.

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Purpose The purpose of this paper is to determine how high-tech firms should choose between independent research and development and technology introduction as well as to ascertain the effects of the three elements of competitive dynamics on the evolution of innovative behavior-based decisions and competitive results. Design/methodology/approach This paper describes the construction of an evolutionary game model and a multi-agent-based model of innovative behavior-based decisions by heterogeneous high-tech firms. The models are used to analyze the evolution path and evolutionarily stable strategy of innovative behavior-based decisions. In addition, multi-agent-based simulation is used to gain insight into the effects of competitive dynamics on the dynamic evolution of innovative behavior-based decisions. Findings This paper reveals four evolutionary equilibrium states of the innovation behavior-based decisions of high-tech firms. Based on the findings, these overall evolutionary trends are not affected by the timing of competitive market entry or the intensity of competition. In addition, simulated evidence is added that the timing of competitive market entry is an important factor affecting market-leading innovative strategies and dynamic competition results, and competition intensity is closely related to the evolutionary speed of innovation behavior-based decisions. Originality/value The key contribution of this paper is its new view of innovative behavior-based decisions from a competitive dynamics perspective. The new competitive dynamics-based framework for innovative behavior-based decisions of high-tech firms proposed in the paper can resolve the problem of obtaining a sustainable competitive advantage for high-tech firms in a competitive dynamics context.

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13

Bodas Freitas, Isabel Maria, and Cornelia Lawson. "Imprints from idea origin on innovation and the development environment." Industrial and Corporate Change 28, no. 6 (April 21, 2019): 1533–53. http://dx.doi.org/10.1093/icc/dtz018.

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Abstract This study builds on the evolutionary and organization literatures to explore how the nature of innovation outcomes was influenced by the innovation’s original idea and the environment in which it was developed. We use data from a survey of inventors on the development processes of three types of innovations: market success innovations, technologically novel innovations, and innovations that are both technologically novel and of market success. Our results suggest that the environment in which the project is developed erodes the effect of the original knowledge sources on the innovation outcome. Specifically, a stronger imprinting effect of knowledge sources is found for independent inventors, while ideas are more likely to be eroded in projects undertaken by inventors at technology leader firms.

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14

Rabosky, Daniel L. "Phylogenetic tests for evolutionary innovation: the problematic link between key innovations and exceptional diversification." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1735 (October 23, 2017): 20160417. http://dx.doi.org/10.1098/rstb.2016.0417.

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Evolutionary innovation contributes to the spectacular diversity of species and phenotypes across the tree of life. ‘Key innovations’ are widely operationalized within evolutionary biology as traits that facilitate increased diversification rates, such that lineages bearing the traits ultimately contain more species than closely related lineages lacking the focal trait. In this article, I briefly review the inference, analysis and interpretation of evolutionary innovation on phylogenetic trees. I argue that differential rates of lineage diversification should not be used as the basis for key innovation tests, despite the statistical tractability of such approaches. Under traditional interpretations of the macroevolutionary ‘adaptive zone’, we should not necessarily expect key innovations to confer faster diversification rates upon lineages that possess them relative to their extant sister clades. I suggest that a key innovation is a trait that allows a lineage to interact with the environment in a fundamentally different way and which, as a result, increases the total diversification—but not necessarily the diversification rate—of the parent clade. Considered alone, branching patterns in phylogenetic trees are poorly suited to the inference of evolutionary innovation due to their inherently low information content with respect to the processes that produce them. However, phylogenies may be important for identifying transformational shifts in ecological and morphological space that are characteristic of innovation at the macroevolutionary scale. This article is part of the themed issue ‘Process and pattern in innovations from cells to societies’.

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15

McCall, Lauren. "Individual invention versus socio-ecological innovation: Unifying the behavioral and evolutionary sciences." Behavioral and Brain Sciences 30, no. 4 (August 2007): 418–19. http://dx.doi.org/10.1017/s0140525x0700249x.

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AbstractGreat promise for the evolutionary analysis of animal behavior lies in the distinction between generative novelties and the evolutionary innovations to which they can give rise. Ramsey et al. succeed in emphasizing the contribution of individual learning and intelligence to behavioral innovations, but do not correct the tendency to confound individual invention with socio-ecological or group-level innovation.

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16

Tumelero, Cleonir, Roberto Sbragia, and Felipe Mendes Borini. "The Combinative Effect of Organizational and Technological Eco-innovations in R&D-intensive Companies." Environmental Management and Sustainable Development 9, no. 4 (November 24, 2020): 60. http://dx.doi.org/10.5296/emsd.v9i4.17786.

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This study aims to investigate the influence of organizational and process eco-innovations on the introduction of product eco-innovations in R&D-intensive companies. We covered theory gaps by empirically demonstrating to what extent non-technological and technological eco-innovations are related. We used the Survey method to investigate a sample of Brazilian manufacturers from the electrical and electronics sectors, and we processed the data through Structural Equation Modeling (SEM). The findings of this study evidenced that non-technological eco-innovations are able to influence technological eco-innovations, both process and product, suggesting that the organizational eco-innovation strategy leads to sustainable technological path dependence in R&D-intensive companies. Additionally, findings demonstrated that the association between organizational and product eco-innovation is stronger whether mediated by process eco-innovation, so the result confirms an evolutionary perspective regarding the differentiated types of eco-innovation. We conclude that by investing in eco-innovative R&D projects, new environmental systems, teams' formation, information flow, and trends monitoring, the company creates a path dependence for technological eco-innovation of process and products.

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17

Solé, Ricard. "The major synthetic evolutionary transitions." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1701 (August 19, 2016): 20160175. http://dx.doi.org/10.1098/rstb.2016.0175.

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Evolution is marked by well-defined events involving profound innovations that are known as ‘major evolutionary transitions'. They involve the integration of autonomous elements into a new, higher-level organization whereby the former isolated units interact in novel ways, losing their original autonomy. All major transitions, which include the origin of life, cells, multicellular systems, societies or language (among other examples), took place millions of years ago. Are these transitions unique, rare events? Have they instead universal traits that make them almost inevitable when the right pieces are in place? Are there general laws of evolutionary innovation? In order to approach this problem under a novel perspective, we argue that a parallel class of evolutionary transitions can be explored involving the use of artificial evolutionary experiments where alternative paths to innovation can be explored. These ‘synthetic’ transitions include, for example, the artificial evolution of multicellular systems or the emergence of language in evolved communicating robots. These alternative scenarios could help us to understand the underlying laws that predate the rise of major innovations and the possibility for general laws of evolved complexity. Several key examples and theoretical approaches are summarized and future challenges are outlined. This article is part of the themed issue ‘The major synthetic evolutionary transitions’.

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18

Petrie, Katherine L., Nathan D. Palmer, Daniel T. Johnson, Sarah J. Medina, Stephanie J. Yan, Victor Li, Alita R. Burmeister, and Justin R. Meyer. "Destabilizing mutations encode nongenetic variation that drives evolutionary innovation." Science 359, no. 6383 (March 29, 2018): 1542–45. http://dx.doi.org/10.1126/science.aar1954.

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Evolutionary innovations are often achieved by repurposing existing genes to perform new functions; however, the mechanisms enabling the transition from old to new remain controversial. We identified mutations in bacteriophage λ’s host-recognition gene J that confer enhanced adsorption to λ’s native receptor, LamB, and the ability to access a new receptor, OmpF. The mutations destabilize λ particles and cause conformational bistability of J, which yields progeny of multiple phenotypic forms, each proficient at different receptors. This work provides an example of how nongenetic protein variation can catalyze an evolutionary innovation. We propose that cases where a single genotype can manifest as multiple phenotypes may be more common than previously expected and offer a general mechanism for evolutionary innovation.

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19

Kell, Douglas B., and Elena Lurie-Luke. "The virtue of innovation: innovation through the lenses of biological evolution." Journal of The Royal Society Interface 12, no. 103 (February 2015): 20141183. http://dx.doi.org/10.1098/rsif.2014.1183.

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We rehearse the processes of innovation and discovery in general terms, using as our main metaphor the biological concept of an evolutionary fitness landscape. Incremental and disruptive innovations are seen, respectively, as successful searches carried out locally or more widely. They may also be understood as reflecting evolution by mutation (incremental) versus recombination (disruptive). We also bring a platonic view, focusing on virtue and memory. We use ‘virtue’ as a measure of efforts, including the knowledge required to come up with disruptive and incremental innovations, and ‘memory’ as a measure of their lifespan, i.e. how long they are remembered. Fostering innovation, in the evolutionary metaphor, means providing the wherewithal to promote novelty, good objective functions that one is trying to optimize, and means to improve one's knowledge of, and ability to navigate, the landscape one is searching. Recombination necessarily implies multi- or inter-disciplinarity. These principles are generic to all kinds of creativity, novel ideas formation and the development of new products and technologies.

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20

A. Zh. Baimukhametova. "EVOLUTIONARY CHANGES IN THE CONTENT OF INNOVATIVE ENTREPRENEURSHIP." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 3, no. 77 (October 15, 2020): 141–47. http://dx.doi.org/10.47533/2020.1606-146x.21.

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The purpose of the article is to trace the evolutionary path of innovative entrepreneurship development, as well as to justify the need for modern methods of managing a high-tech economy. In the article the importance of business at different levels of economic development analyzed, the works of the innovation management classics and entrepreneurship were studied and approaches to the development of countries entrepreneurship with high growth rates in the Global Innovation Index were compared. The relevance of the article is caused by the increasing role of entrepreneurship in industry 4.0. New approaches to business processes are important from the innovation management point of view. The methodological base of the research is empirical research methods such as: system and comparative analysis, analysis of cause and effect relationships, observation, grouping.

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21

Raikow, Robert J. "Innovation Is the Mother of Evolution Evolutionary Innovations Matthew H. Nitecki." BioScience 41, no. 9 (October 1991): 645–47. http://dx.doi.org/10.2307/1311711.

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22

García, Clara-Eugenia. "Managing innovation from an evolutionary perspective." Journal of High Technology Management Research 9, no. 2 (September 1998): v—xv. http://dx.doi.org/10.1016/s1047-8310(98)90001-3.

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23

Bendixsen, Devin P., James Collet, Bjørn Østman, and Eric J. Hayden. "Genotype network intersections promote evolutionary innovation." PLOS Biology 17, no. 5 (May 28, 2019): e3000300. http://dx.doi.org/10.1371/journal.pbio.3000300.

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van der Steen, Marianne, and Jurgen Enders. "Universities in Evolutionary Systems of Innovation." Creativity and Innovation Management 17, no. 4 (December 2008): 281–92. http://dx.doi.org/10.1111/j.1467-8691.2008.00496.x.

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25

Pyka, Andreas. "Avoiding evolutionary inefficiencies in innovation networks." Prometheus 32, no. 3 (July 3, 2014): 265–79. http://dx.doi.org/10.1080/08109028.2015.1011877.

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Müller, Gerd B., and Stuart A. Newman. "Editorial: evolutionary innovation and morphological novelty." Journal of Experimental Zoology Part B: Molecular and Developmental Evolution 304B, no. 6 (2005): 485–86. http://dx.doi.org/10.1002/jez.b.21080.

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27

Chatterjee, Krishnendu, Andreas Pavlogiannis, Ben Adlam, and Martin A. Nowak. "The Time Scale of Evolutionary Innovation." PLoS Computational Biology 10, no. 9 (September 11, 2014): e1003818. http://dx.doi.org/10.1371/journal.pcbi.1003818.

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28

Bettzuge, Marc Oliver, and Thorsten Hens. "An Evolutionary Approach to Financial Innovation." Review of Economic Studies 68, no. 3 (July 2001): 493–522. http://dx.doi.org/10.1111/1467-937x.00178.

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Pandya, Chetanya, Jeremiah D. Farelli, Debra Dunaway-Mariano, and Karen N. Allen. "Enzyme Promiscuity: Engine of Evolutionary Innovation." Journal of Biological Chemistry 289, no. 44 (September 10, 2014): 30229–36. http://dx.doi.org/10.1074/jbc.r114.572990.

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Catalytic promiscuity and substrate ambiguity are keys to evolvability, which in turn is pivotal to the successful acquisition of novel biological functions. Action on multiple substrates (substrate ambiguity) can be harnessed for performance of functions in the cell that supersede catalysis of a single metabolite. These functions include proofreading, scavenging of nutrients, removal of antimetabolites, balancing of metabolite pools, and establishing system redundancy. In this review, we present examples of enzymes that perform these cellular roles by leveraging substrate ambiguity and then present the structural features that support both specificity and ambiguity. We focus on the phosphatases of the haloalkanoate dehalogenase superfamily and the thioesterases of the hotdog fold superfamily.

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30

von Tunzelmann, G. N. "Malthus's evolutionary model, expectations, and innovation." Journal of Evolutionary Economics 1, no. 4 (December 1991): 273–91. http://dx.doi.org/10.1007/bf01236494.

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31

Erwin, Douglas H. "The topology of evolutionary novelty and innovation in macroevolution." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1735 (October 23, 2017): 20160422. http://dx.doi.org/10.1098/rstb.2016.0422.

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Sewall Wright's fitness landscape introduced the concept of evolutionary spaces in 1932. George Gaylord Simpson modified this to an adaptive, phenotypic landscape in 1944 and since then evolutionary spaces have played an important role in evolutionary theory through fitness and adaptive landscapes, phenotypic and functional trait spaces, morphospaces and related concepts. Although the topology of such spaces is highly variable, from locally Euclidean to pre-topological, evolutionary change has often been interpreted as a search through a pre-existing space of possibilities, with novelty arising by accessing previously inaccessible or difficult to reach regions of a space. Here I discuss the nature of evolutionary novelty and innovation within the context of evolutionary spaces, and argue that the primacy of search as a conceptual metaphor ignores the generation of new spaces as well as other changes that have played important evolutionary roles. This article is part of the themed issue ‘Process and pattern in innovations from cells to societies’.

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Khalil, Elias L. "Evolutionary Biology and Evolutionary Economics." Journal of Interdisciplinary Economics 8, no. 4 (October 1997): 221–44. http://dx.doi.org/10.1177/02601079x9700800401.

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The paper identifies two major conceptual challenges facing evolutionary economics and shows how they parallel similar challenges facing evolutionary and developmental biology. One issue is the differentiation between learning-by-doing, on one hand, and habit formation, on the other. Another issue is the distinction between the cause or origin of evolutionary mutation/innovation, on one side, and the relevant unit which is the subject of evolutionary change, on the other. The failure to identify these two sets of distinction may hinder the articulation of an apropos evolutionary economic theory.

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Malerba, Franco, and Maureen McKelvey. "Knowledge-intensive innovative entrepreneurship integrating Schumpeter, evolutionary economics, and innovation systems." Small Business Economics 54, no. 2 (May 3, 2018): 503–22. http://dx.doi.org/10.1007/s11187-018-0060-2.

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Stubbs, Thomas L., Michael J. Benton, Armin Elsler, and Albert Prieto-Márquez. "Morphological innovation and the evolution of hadrosaurid dinosaurs." Paleobiology 45, no. 02 (May 2019): 347–62. http://dx.doi.org/10.1017/pab.2019.9.

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AbstractThe hadrosaurids were a successful group of herbivorous dinosaurs. During the Late Cretaceous, 100 to 66 million years ago, hadrosaurids had high diversity, rapid speciation rates, and wide geographic distribution. Most hadrosaurids were large bodied and had similar postcranial skeletons. However, they show important innovations in the skull, including disparate crests that functioned as socio-sexual display structures, and a complex feeding apparatus, with specialized jaws bearing dental batteries. Little is known about the macroevolutionary processes that produced these evolutionary novelties. Here we provide novel perspectives using evolutionary rate and disparity analyses. Our results show that hadrosaurid cranial evolution was complex and dynamic, but their postcranial skeleton and body size were conservative. High cranial disparity was achieved through multiple bursts of phenotypic innovation. We highlight contrasting evolutionary trends within hadrosaurids between the disparate facial skeleton and crests, which both showed multiple high-rate shifts, and the feeding apparatus, which had low variance and high rates on a single phylogenetic branch leading to the diverse Saurolophidae. We reveal that rapid evolutionary rates were important for producing the high disparity of exaggerated crests and present novel evidence that the hadrosaurid diversification was linked to both a key adaptive innovation in the feeding apparatus and multiple bursts of innovation in socio-sexual displays.

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Cooke, P., M. G. Uranga, and G. Etxebarria. "Regional Systems of Innovation: An Evolutionary Perspective." Environment and Planning A: Economy and Space 30, no. 9 (September 1998): 1563–84. http://dx.doi.org/10.1068/a301563.

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The authors develop the concept of regional systems of innovation and relate it to preexisting research on national systems of innovation. They argue that work conducted in the ‘new regional science’ field is complementary to systems of innovation approaches. They seek to link new regional work to evolutionary economics, and argue for the development of evolutionary regional science. Common elements of interest to evolutionary innovation research and new regional science are important in understanding processes of agglomeration, trust building, innovation, institutions, and learning in regional systems. The authors develop analytical frameworks for designating regional systems of innovation in terms of distinction between institutions and organisations, hard and soft infrastructures, and the cultural superstructure. They conclude that an evolutionary approach assists understanding of regional potential for developing systemic innovation.

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36

Larouche, Olivier, Jennifer R. Hodge, Laura R. V. Alencar, Benjamin Camper, Danielle S. Adams, Katerina Zapfe, Sarah T. Friedman, Peter C. Wainwright, and Samantha A. Price. "Do key innovations unlock diversification? A case-study on the morphological and ecological impact of pharyngognathy in acanthomorph fishes." Current Zoology 66, no. 5 (September 2, 2020): 575–88. http://dx.doi.org/10.1093/cz/zoaa048.

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Abstract Key innovations may allow lineages access to new resources and facilitate the invasion of new adaptive zones, potentially influencing diversification patterns. Many studies have focused on the impact of key innovations on speciation rates, but far less is known about how they influence phenotypic rates and patterns of ecomorphological diversification. We use the repeated evolution of pharyngognathy within acanthomorph fishes, a commonly cited key innovation, as a case study to explore the predictions of key innovation theory. Specifically, we investigate whether transitions to pharyngognathy led to shifts in the rate of phenotypic evolution, as well as shifts and/or expansion in the occupation of morphological and dietary space, using a dataset of 8 morphological traits measured across 3,853 species of Acanthomorpha. Analyzing the 6 evolutionarily independent pharyngognathous clades together, we found no evidence to support pharyngognathy as a key innovation; however, comparisons between individual pharyngognathous lineages and their sister clades did reveal some consistent patterns. In morphospace, most pharyngognathous clades cluster in areas that correspond to deeper-bodied morphologies relative to their sister clades, whereas occupying greater areas in dietary space that reflects a more diversified diet. Additionally, both Cichlidae and Labridae exhibited higher univariate rates of phenotypic evolution compared with their closest relatives. However, few of these results were exceptional relative to our null models. Our results suggest that transitions to pharyngognathy may only be advantageous when combined with additional ecological or intrinsic factors, illustrating the importance of accounting for lineage-specific effects when testing key innovation hypotheses. Moreover, the challenges we experienced formulating informative comparisons, despite the ideal evolutionary scenario of multiple independent evolutionary origins of pharyngognathous clades, illustrates the complexities involved in quantifying the impact of key innovations. Given the issues of lineage specific effects and rate heterogeneity at macroevolutionary scales we observed, we suggest a reassessment of the expected impacts of key innovations may be warranted.

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37

Love, Alan C. "Evolutionary Morphology, Innovation, and the Synthesis of Evolutionary and Developmental Biology." Biology & Philosophy 18, no. 2 (March 2003): 309–45. http://dx.doi.org/10.1023/a:1023940220348.

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38

Drapal, Andrej. "Innovation from a Memetic and Evolutionary Perspective." Mednarodno inovativno poslovanje = Journal of Innovative Business and Management 11, no. 1 (May 15, 2019): 11–15. http://dx.doi.org/10.32015/jimb/2019-11-1-2.

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Innovation happens all around the Universe and is a fundamental mechanism of evolution. Living creatures cannot but exist and develop through innovation. Innovation happens through mutations that make sense in retrospect only. Natural selection makes certain mutations as beneficial and other as something that was already forgotten. As much as genes serve as quantized smaller units where innovation takes place in physical bodies, memes serve as basic quantized units of human culture. Memes as second replicators to genes obey similar laws of evolution and thus innovation as genes. Innovation can be propagated only by removing obstacles on one side and by allowing mutations to emerge as long as they do not destroy identity.

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39

Gong, Chen, Jian Liu, and Jinping Chang. "Evolutionary Game Analysis of the Innovation Behavior of High-Tech Enterprises with Government Participation." Mathematical Problems in Engineering 2021 (September 9, 2021): 1–15. http://dx.doi.org/10.1155/2021/5528042.

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High-tech enterprises, as the key subjects that can stimulate innovation vitality and promote innovation-driven development strategies in China, require government guidance for their innovative activities. However, the existing research has not answered the issue of how the government behavior activates the innovation ability of high-tech enterprises and what is the internal mechanism. As such, this paper takes government participation in high-tech enterprises as its research object, constructs an evolutionary game model of government participation in enterprise innovation, analyzes the internal mechanism of improvements to high-tech enterprises’ innovation ability under government tax and fee policy incentives and regulatory measures, and uses MATLAB numerical simulation to verify the results. The research shows that (1) increasing the general corporate income tax rate and reducing the high-tech corporate income tax rate can promote the transformation of general enterprises into high-tech enterprises and encourage enterprises to engage in scientific and technological innovation activities. However, when the high-tech corporate income tax rate is lower than 0.1, the marginal effect will be reduced. (2) Increasing the deduction coefficient and amortization coefficient can make high-tech enterprises more motivated to participate in innovation activities and thus render enterprise innovation more lucrative. (3) Increasing administrative penalties from regulatory authorities can promote the development of innovative activities in high-tech enterprises, but their intensity must be controlled within a reasonable range. The presented results have reference value for the adjustment of tax and fee policies among high-tech enterprises.

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Wagner, Andreas. "Information theory, evolutionary innovations and evolvability." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1735 (October 23, 2017): 20160416. http://dx.doi.org/10.1098/rstb.2016.0416.

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How difficult is it to ‘discover’ an evolutionary adaptation or innovation? I here suggest that information theory, in combination with high-throughput DNA sequencing, can help answer this question by quantifying a new phenotype's information content. I apply this framework to compute the phenotypic information associated with novel gene regulation and with the ability to use novel carbon sources. The framework can also help quantify how DNA duplications affect evolvability, estimate the complexity of phenotypes and clarify the meaning of ‘progress’ in Darwinian evolution. This article is part of the themed issue ‘Process and pattern in innovations from cells to societies’.

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Logan, Corina J., and John W. Pepper. "Social learning is central to innovation, in primates and beyond." Behavioral and Brain Sciences 30, no. 4 (August 2007): 416–17. http://dx.doi.org/10.1017/s0140525x07002476.

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AbstractMuch of the importance of innovation stems from its capacity to spread via social learning, affecting multiple individuals, thus generating evolutionary and ecological consequences. We advocate a broader taxonomic focus in the field of behavioral innovation, as well as the use of comparative field research, and discuss the unique conservation implications of animal innovations and traditions.

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Griggs, Steven. "Expanding Innovation Through Challenging Organization Endowments." Journal of Innovation Management 9, no. 1 (May 1, 2021): 1–24. http://dx.doi.org/10.24840/2183-0606_009.001_0003.

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Revolutionary innovation in mature or large organizations has been on the decline in recent years. Incremental innovation is the norm and few large organizations create evolutionary or revolutionary innovative offerings. A reason for the lack of innovation in mature or large firms is based on management practices over the last several decades. These practices have created biases in the form of an endowment effect, which results in incremental innovation. Endowment effects impact on innovation will be explored and methods to reduce the impact of endowment effect and overcome the biases are offered.

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Chikouche, Somia, Salah Eddine Bouhouita-Guermech, Abderraouf Bouziane, and Messaoud Mostefai. "New Evolutionary Adoption Model for Innovation Diffusion." Journal of Information Technology Research 12, no. 2 (April 2019): 115–33. http://dx.doi.org/10.4018/jitr.2019040107.

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The study of innovation diffusion offers an insight into its adoption by a particular community, which has attracted the attention of many researchers. However, most of proposed models do not take all the fundamental elements for simulating the diffusion process into account. The main contribution of this article is proposing an original model founded on the evolutionary algorithm. The model simulates the adoption decision as a process of gradual acceptance and focuses on the representation of (1) the innovation features (2) the individuals' heterogeneity, (3) the social network (4) the communication influence. For this purpose, different simulation scenarios were carried out using a probabilistic foundation. The results validated the model's ability to determine the earlier adopters and therefore, demonstrated an explicit diffusion pattern without the need of historical data.

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Apic, G., and R. B. Russell. "Domain Recombination: A Workhorse for Evolutionary Innovation." Science Signaling 3, no. 139 (September 7, 2010): pe30. http://dx.doi.org/10.1126/scisignal.3139pe30.

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Lewens, Tim. "Technological Innovation as an Evolutionary Process Darwinnovation!" Studies in History and Philosophy of Science Part A 33, no. 1 (March 2002): 195–203. http://dx.doi.org/10.1016/s0039-3681(01)00038-3.

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Kwasnicki, Witold. "Knowledge, innovation and economy: An evolutionary exploration." Long Range Planning 30, no. 1 (February 1997): 144–45. http://dx.doi.org/10.1016/s0024-6301(97)86611-3.

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Capello, Roberta, and Camilla Lenzi. "Regional innovation patterns from an evolutionary perspective." Regional Studies 52, no. 2 (March 30, 2017): 159–71. http://dx.doi.org/10.1080/00343404.2017.1296943.

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Mihrshahi, Robin. "The corpus callosum as an evolutionary innovation." Journal of Experimental Zoology Part B: Molecular and Developmental Evolution 306B, no. 1 (January 15, 2006): 8–17. http://dx.doi.org/10.1002/jez.b.21067.

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Basalla, George. "Technological Innovation as an Evolutionary Process (review)." Technology and Culture 43, no. 2 (2002): 403–4. http://dx.doi.org/10.1353/tech.2002.0049.

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Goffredi, Shana K., Victoria J. Orphan, Greg W. Rouse, Linda Jahnke, Tsegeria Embaye, Kendra Turk, Ray Lee, and Robert C. Vrijenhoek. "Evolutionary innovation: a bone-eating marine symbiosis." Environmental Microbiology 7, no. 9 (September 2005): 1369–78. http://dx.doi.org/10.1111/j.1462-2920.2005.00824.x.

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