Статті в журналах: "Lifecycle dynamics"

1

Feigenbaum, James, and Geng Li. "Lifecycle Dynamics of Income Uncertainty and Consumption." Finance and Economics Discussion Series 2008, no. 27 (2008): 1–45. http://dx.doi.org/10.17016/feds.2008.27.

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2

McGrath, Helen, Thomas O’Toole, Lou Marino, and Catherine Sutton-Brady. "A relational lifecycle model of the emergence of network capability in new ventures." International Small Business Journal: Researching Entrepreneurship 36, no. 5 (December 4, 2017): 521–45. http://dx.doi.org/10.1177/0266242617738571.

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This article presents a relational lifecycle model of the emergence of network capability in new ventures. Network capability is defined as a strategic ability learned in interaction with business partners. We focus on the foundational phases and processes of the emergence of this dynamic capability. The lifecycle model comprises three phases that evolve over time in tandem with the level of network engagement. The qualitative study identifies five tipping points or critical changes that move new ventures between the lifecycle phases. Using a sample of new ventures in a longitudinal action research design, the article demonstrates how new ventures emerge in network capability through increasingly complex and multilayered engagement processes with business partners. The relational lifecycle model contributes to the literature on how network capability emerges over time through the dynamics of interaction between business partners as new venture networks evolve and change.

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3

Gal, Uri, Nicholas Berente, and Friedrich Chasin. "Technology Lifecycles and Digital Technologies: Patterns of Discourse across Levels of Materiality." Journal of the Association for Information Systems 23, no. 5 (2022): 1102–49. http://dx.doi.org/10.17705/1jais.00761.

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The technology lifecycle model is extensively used to study technology evolution and innovation. However, this model was developed for industrial-age material technologies and does not address digital technologies with nonmaterial elements. Therefore, a question emerges as to whether the level of technological materiality is implicated in different dynamics of innovation, as reflected in the technology lifecycle. Digital technologies evolve through discourse that involves interactions among multiple stakeholders that shape the evolutionary trajectory of the technology. Therefore, we set out to examine whether discourse about digital technologies that vary in their level of materiality manifests in different ways throughout these technologies’ lifecycles. To do so, we conducted a study comparing the discourse around 10 digital technologies—five highly material and five highly nonmaterial—at different stages of their technology lifecycles. We identified three characteristics of discourse—volume, volatility, and diversity—and examined them for the 10 digital technologies by analyzing their corresponding Wikipedia articles. Our findings show that the discourse around technologies with different levels of materiality is similar in the initial era of the lifecycle but diverges in the two subsequent eras. In addition, we found that the discourse around highly nonmaterial technologies remains elevated for longer time periods, compared to highly material technologies. Based on these results, we put forth propositions that challenge and extend existing research on the relationships between the technological level of materiality, discourse, and trajectories of technology evolution.

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4

Chevance, Mélanie, J. M. Diederik Kruijssen, Alexander P. S. Hygate, Andreas Schruba, Steven N. Longmore, Brent Groves, Jonathan D. Henshaw, et al. "The lifecycle of molecular clouds in nearby star-forming disc galaxies." Monthly Notices of the Royal Astronomical Society 493, no. 2 (December 19, 2019): 2872–909. http://dx.doi.org/10.1093/mnras/stz3525.

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ABSTRACT It remains a major challenge to derive a theory of cloud-scale ($\lesssim100$ pc) star formation and feedback, describing how galaxies convert gas into stars as a function of the galactic environment. Progress has been hampered by a lack of robust empirical constraints on the giant molecular cloud (GMC) lifecycle. We address this problem by systematically applying a new statistical method for measuring the evolutionary timeline of the GMC lifecycle, star formation, and feedback to a sample of nine nearby disc galaxies, observed as part of the PHANGS-ALMA survey. We measure the spatially resolved (∼100 pc) CO-to-H α flux ratio and find a universal de-correlation between molecular gas and young stars on GMC scales, allowing us to quantify the underlying evolutionary timeline. GMC lifetimes are short, typically $10\!-\!30\,{\rm Myr}$, and exhibit environmental variation, between and within galaxies. At kpc-scale molecular gas surface densities $\Sigma _{\rm H_2}\ge 8\,\rm {M_\odot}\,{{\rm pc}}^{-2}$, the GMC lifetime correlates with time-scales for galactic dynamical processes, whereas at $\Sigma _{\rm H_2}\le 8\,\rm {M_\odot}\,{{\rm pc}}^{-2}$ GMCs decouple from galactic dynamics and live for an internal dynamical time-scale. After a long inert phase without massive star formation traced by H α (75–90 per cent of the cloud lifetime), GMCs disperse within just $1\!-\!5\,{\rm Myr}$ once massive stars emerge. The dispersal is most likely due to early stellar feedback, causing GMCs to achieve integrated star formation efficiencies of 4–10 per cent. These results show that galactic star formation is governed by cloud-scale, environmentally dependent, dynamical processes driving rapid evolutionary cycling. GMCs and H ii regions are the fundamental units undergoing these lifecycles, with mean separations of $100\!-\!300\,{{\rm pc}}$ in star-forming discs. Future work should characterize the multiscale physics and mass flows driving these lifecycles.

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5

Hell, Marko, and Lidija Petrić. "System Dynamics Approach to TALC Modeling." Sustainability 13, no. 9 (April 25, 2021): 4803. http://dx.doi.org/10.3390/su13094803.

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The system dynamics applied in this research on modeling a tourist destination (area) life cycle (TALC) contributes to understanding its behavior and the way that information feedback governs the use of feedback loops, delays and stocks and flows. On this basis, a system dynamic three-staged TALC model is conceptualized, with the number of visitors V as an indicator of the carrying capacities’ dynamics and the flow function V(t) to determine the TALC stages. In the first supply-dominance stage, the model indicated that arrivals are growing until the point of inflexion. After this point, arrivals continue growing (but with diminishing growth rates), indicating the beginning of the demand-dominance stage, ending up with the saturation point, i.e., the maximum number of visitors. The simulated TALC system dynamics model was then applied to five EU destinations (Living Labs) to explain their development along the observed period (2007–2019). The analysis revealed that all observed Living Labs reached the second lifecycle stage, with one entered as early as in 2015 and another in 2018. Lifecycle stage durations may significantly differ across the destinations, as do the policies used either to prevent stagnation or to restructure the offer to become more sustainable and resilient.

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6

Hu, Bin, DeBin Zhang, CaiXue Ma, Yong Jiang, XiongYing Hu, and JinLong Zhang. "Modeling and simulation of corporate lifecycle using system dynamics." Simulation Modelling Practice and Theory 15, no. 10 (November 2007): 1259–67. http://dx.doi.org/10.1016/j.simpat.2007.08.007.

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7

Mok, Lillio, Samuel F. Way, Lucas Maystre, and Ashton Anderson. "The Dynamics of Exploration on Spotify." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 663–74. http://dx.doi.org/10.1609/icwsm.v16i1.19324.

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Digital media platforms give users access to enormous amounts of content that they must explore to avoid boredom and satisfy their needs for heterogeneity. Existing strands of work across psychology, marketing, computer science, and music underscore the importance of the lifecycle to understanding exploratory behavior, but they are also often inconsistent with each other. In this study, we examine how users explore online content on Spotify over time, whether by discovering entirely novel music or by refreshing their listening habits from one time frame to the next. We find clear differences between users at different points of their off-platform lifecycles, with younger listeners consistently exploring unknown content less and exploiting known content more. Across their on-platform histories, users also explore in bursts by following seasonal cycles and exploratory phases. We also find that these patterns of exploration do not translate to other notions of heterogeneity like diversity; notably, younger listeners are more diverse in their consumption despite exploring less. Exploration and diversity thus capture different ways in which people find variety, potentially accounting for the inconsistencies in existing work. Together, these nuanced dynamics of exploration suggest that online platforms may be better poised to support users by incorporating different measures of heterogeneous consumption.

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8

Lawand, Lydia, Khalil Al Handawi, Massimo Panarotto, Petter Andersson, Ola Isaksson, and Michael Kokkolaras. "A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 1343–52. http://dx.doi.org/10.1017/dsi.2019.140.

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AbstractAero-engine component design decisions should consider re-manufacturing and/or repair strategies and their impact on lifecycle cost. Existing design approaches do not account for alternative production technologies such as the use of additive manufacturing in life extension processes. This paper presents a modeling and optimization methodology for examining the impact of design decisions in the early development stage on component lifecycle cost during the in-service phase while considering the potential use of additive manufacturing in life extension strategies. Specifically, a system dynamics model is developed to assess different end-of-life scenarios. Finally, an optimization problem is formulated and solved to minimize lifecycle cost with respect to design variables related to re-manufacturing.

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9

Ansah, Mark Kyeredey, Xi Chen, and Hongxing Yang. "Two-Stage Lifecycle Energy Optimization of Mid-Rise Residential Buildings with Building-Integrated Photovoltaic and Alternative Composite Façade Materials." Buildings 11, no. 12 (December 12, 2021): 642. http://dx.doi.org/10.3390/buildings11120642.

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Reducing the lifecycle energy use of buildings with renewable energy applications has become critical given the urgent need to decarbonize the building sector. Multi-objective optimizations have been widely applied to reduce the operational energy use of buildings, but limited studies concern the embodied or whole lifecycle energy use. Consequently, there are issues such as sub-optimal design solutions and unclear correlation between embodied and operational energy in the current building energy assessment. To address these gaps, this study integrates a multi-objective optimization method with building energy simulation and lifecycle assessment (LCA) to explore the optimal configuration of different building envelopes from a lifecycle perspective. Major contributions of the study include the integrated optimization which reflects the dynamics of the whole lifecycle energy use. Insights from the study reveal the optimal configuration of PV and composite building façades for different regions in sub-Saharan Africa. The lifecycle energy use for the optimized building design resulted in 24.59, 33.33, and 36.93% energy savings in Ghana, Burkina Faso, and Nigeria, respectively. Additionally, PV power generation can efficiently cover over 90% of the total building energy demand. This study provides valuable insights for building designers in sub-Saharan Africa and similar areas that minimize lifecycle energy demand.

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10

Kang, Goune, Hunhee Cho, and Dongyoun Lee. "Dynamic Lifecycle Assessment in Building Construction Projects: Focusing on Embodied Emissions." Sustainability 11, no. 13 (July 8, 2019): 3724. http://dx.doi.org/10.3390/su11133724.

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Understanding the structure and behavior of emissions in building systems is the first step toward improving the reliability of the environmental impact assessment of buildings. The shortcomings of current building lifecycle assessment (LCA) research is the lack of understanding of embodied emissions and static analysis. This study presents a methodology for the dynamic LCA of buildings, combined with the system dynamics technique. Dynamic factors related to recurrent embodied emissions are explored through a literature review. Applying the dynamic factors based on the review, a causal map and stock-flow diagram are invented. Collecting the field data and establishing the assumptions based on the literature, a case study is performed for the proposed model. As a result, through dynamic analysis, it was found that recurrent embodied emissions have a considerably different behavior from static ones during their whole life. Additionally, it was found that the environmental impacts changed by more than 10%, according to the variation of the users’ required performance level in sensitivity analysis. This result thoroughly addressed the necessity and appropriateness of dynamic LCA. The dynamic LCA model developed in this study can contribute to the long-term behavioral understanding of the embodied environmental impacts of building LCA.

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11

Powell, Antony, Keith Mander, and Duncan Brown. "Strategies for lifecycle concurrency and iteration – A system dynamics approach." Journal of Systems and Software 46, no. 2-3 (April 1999): 151–61. http://dx.doi.org/10.1016/s0164-1212(99)00008-4.

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12

Sasson, Theodore, Benjamin Phillips, Graham Wright, Charles Kadushin, and Leonard Saxe. "Understanding Young Adult Attachment to Israel: Period, Lifecycle and Generational Dynamics." Contemporary Jewry 32, no. 1 (January 19, 2012): 67–84. http://dx.doi.org/10.1007/s12397-011-9077-4.

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13

Jiao, Ping, and Ming Hui Jiang. "Interaction between FDI and Agglomeration of Capital-Intensive Manufacturing Industry Using System Dynamics Modeling and Simulation." Applied Mechanics and Materials 421 (September 2013): 872–77. http://dx.doi.org/10.4028/www.scientific.net/amm.421.872.

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The interaction between foreign direct investment (FDI) and agglomeration of capital-intensive manufacturers is studied using a system dynamics model and simulation. Data of manufacturers in three industries in the Yangtze Delta region from 1996 to 2010 are analyzed. Interactions between FDI and agglomeration are analyzed through the lifecycle of the industry cluster. Simulation results show that the interaction relationship changes over the entire lifecycle of the industry cluster. Mutual promotion is typical in the early stage during which the inflow of FDI contributes to industrial agglomeration and industrial agglomeration attracts FDI into the region. This mutual promotion diminishes in the expansion stage, disappears in the maturity stage, but appears again in the decline stage.

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14

Zhang, Rui, and Ben Zhao Yang. "Intelligence Evolvement and Overall Design of Architecture Originality." Advanced Materials Research 255-260 (May 2011): 1484–88. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.1484.

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According to the developing process of full lifecycle design service in architecture development and the dynamic and adaptive process of central design, the paper illustrates the idea that architecture originality takes quietness as its carrier and dynamics as its originality, and put forward that intelligent evolvement process of architectural design is a inexorable trend; through stating the architectural design ideas based on Chinese philosophy system, the originality of “Smart Architecture” based on Chinese speculative philosophy system is fixed, which can offer solid theoretical research basis for the development of architecture nationalization and globalization.

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15

Murray, Genevra F., Thomas D'Aunno, and Valerie A. Lewis. "Trust, Money, and Power: alliance lifecycle dynamics between management partners and ACOs." Academy of Management Proceedings 2018, no. 1 (August 2018): 18022. http://dx.doi.org/10.5465/ambpp.2018.18022abstract.

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16

Hynes, Niki, and Juliette Wilson. "Co-evolutionary dynamics in strategic alliances: The influence of the industry lifecycle." Technological Forecasting and Social Change 79, no. 6 (July 2012): 1169–75. http://dx.doi.org/10.1016/j.techfore.2012.02.005.

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17

FLORICEL, SERGHEI, and DEBORAH DOUGHERTY. "WHERE DO GAMES OF INNOVATION COME FROM? EXPLAINING THE PERSISTENCE OF DYNAMIC INNOVATION PATTERNS." International Journal of Innovation Management 11, no. 01 (March 2007): 65–91. http://dx.doi.org/10.1142/s136391960700162x.

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This paper contributes to explaining how and why distinct games of innovation emerge by suggesting that games are nested in innovation systems with persistent innovation dynamics. Dominant lifecycle models focus on how innovation systems transit from an effervescent stage, to product innovation, to process innovation, and so on. They propose specific mechanisms and limiting conditions that affect knowledge production and investment to explain these systematic transitions. Building on these models, we rethink the conditions and mechanisms of innovation to suggest that endogenous renewal cycles can re-create the knowledge and funding necessary to maintain innovation systems for long periods in one stage. We take steps towards developing a theoretical model of innovation dynamics that extends the applicability of lifecycle theories and unifies them with emerging views such as high-velocity innovation and hyper-competition. We also describe three possible types of endogenous renewal cycles, each sustaining a different level of knowledge dynamism and enabling different types of games of innovation.

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18

Erkul, Mehmet, Ibrahim Yitmen, and Tahir Celik. "Dynamics of stakeholder engagement in mega transport infrastructure projects." International Journal of Managing Projects in Business 13, no. 7 (July 22, 2019): 1465–95. http://dx.doi.org/10.1108/ijmpb-09-2018-0175.

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Purpose The purpose of this paper is to investigate the practice of stakeholder engagement as a social network dynamics for stakeholder satisfaction and project success in the lifecycle of mega transport infrastructure projects (MTIPs). Design/methodology/approach Hypotheses indicating the positive relationships between stakeholders’ effective attributes, stakeholder engagement as social network dynamics and project success through stakeholders’ satisfaction have been developed. Based on a questionnaire survey and semi-structured interviews, responses have been gathered from the representative groups and organizations on their social network dynamics for their satisfaction and project success. A hypothesized structural equation model has been tested using AMOS statistical software package. Findings The analysis highlighted the engagement of the stakeholders within the strategic intents of the project with the public needs and expectations. The model depicts the processes of building social network models based on the capturing of the project’s data in relation to the stakeholders’ communication and satisfaction across the key issues for success in the lifecycle of MTIP. Practical implications The model is applicable on most MTIP with a diverse stakeholder base and the underlying complexity associated with the community participation and consultation processes. The model will also support wider stakeholder engagement in the planning of MTIP with optimal operationalization and service delivery from a community perspective. Originality/value The research involves an approach for rationalizing the stakeholder engagement policies of the MTIPs by providing an empirically grounded model simultaneously linking various aspects of stakeholder effective attributes, stakeholder engagement and their relationships to stakeholder satisfaction and project success in MTIPs.

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19

Lanzas, Cristina, Kale Davies, Samantha Erwin, and Daniel Dawson. "On modelling environmentally transmitted pathogens." Interface Focus 10, no. 1 (December 13, 2019): 20190056. http://dx.doi.org/10.1098/rsfs.2019.0056.

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Many pathogens are able to replicate or survive in abiotic environments. Disease transmission models that include environmental reservoirs and environment-to-host transmission have used a variety of functional forms and modelling frameworks without a clear connection to pathogen ecology or space and time scales. We present a conceptual framework to organize microparasites based on the role that abiotic environments play in their lifecycle. Mean-field and individual-based models for environmental transmission are analysed and compared. We show considerable divergence between both modelling approaches when conditions do not facilitate well mixing and for pathogens with fast dynamics in the environment. We conclude with recommendations for modelling environmentally transmitted pathogens based on the pathogen lifecycle and time and spatial scales of the host–pathogen system under consideration.

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20

Takeda, Yusaku. "Frame Evolution:Temporal Dynamics of TMT Frame, Adaptive Strategy & Technology Lifecycle at FUJIFILM." Academy of Management Proceedings 2021, no. 1 (August 2021): 10601. http://dx.doi.org/10.5465/ambpp.2021.10.

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21

Guvenen, Fatih, Fatih Karahan, Serdar Ozkan, and Jae Song. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?" Econometrica 89, no. 5 (2021): 2303–39. http://dx.doi.org/10.3982/ecta14603.

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We study individual male earnings dynamics over the life cycle using panel data on millions of U.S. workers. Using nonparametric methods, we first show that the distribution of earnings changes exhibits substantial deviations from lognormality, such as negative skewness and very high kurtosis. Further, the extent of these nonnormalities varies significantly with age and earnings level, peaking around age 50 and between the 70th and 90th percentiles of the earnings distribution. Second, we estimate nonparametric impulse response functions and find important asymmetries: Positive changes for high‐income individuals are quite transitory, whereas negative ones are very persistent; the opposite is true for low‐income individuals. Third, we turn to long‐run outcomes and find substantial heterogeneity in the cumulative growth rates of earnings and the total number of years individuals spend nonemployed between ages 25 and 55. Finally, by targeting these rich sets of moments, we estimate stochastic processes for earnings that range from the simple to the complex. Our preferred specification features normal mixture innovations to both persistent and transitory components and includes state‐dependent long‐term nonemployment shocks with a realization probability that varies with age and earnings.

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22

Bhattacharjee, Sudip, Ram D. Gopal, Kaveepan Lertwachara, and James R. Marsden. "Stochastic dynamics of music album lifecycle: An analysis of the new market landscape." International Journal of Human-Computer Studies 65, no. 1 (January 2007): 85–93. http://dx.doi.org/10.1016/j.ijhcs.2006.08.004.

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23

Skvortsova, Inga, and Yury Nurulin. "Accelerator of innovations for pre-incubation stage of project lifecycle." MATEC Web of Conferences 170 (2018): 01004. http://dx.doi.org/10.1051/matecconf/201817001004.

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The article is aimed at developing cogent proposals to shorten the implementation of pre-incubation stage of the innovation lifecycle. To achieve the goal, we proposed a framework to formalized description of innovative systems that allowed us to identify structure and set of elements of the system that are invariant with respect to its levels. The analysis of the most popular innovation process models allowed us to single out the feedback as a key structural element of the system, which to a large extent determines the dynamics of the innovation process. It is shown that the absence of specialized infrastructural elements of innovation systems that could provide cross-cutting feedback at the pre-incubation stage is a deterrent to accelerate innovation.

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24

Uvarova, Svetlana Sergeevna, Svetlana Viktorovna Belyaeva, and Andrey Anatol’evich Panenkov. "FORMATION OF INFORMATIVE AND INNOVATIVE BASIS OF THE SUSTAINABLE DEVELOPMENT OF INVESTMENT AND CONSTRUCTION COMPLEX." Vestnik MGSU, no. 4 (April 2016): 130–39. http://dx.doi.org/10.22227/1997-0935.2016.4.130-139.

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The authors determined the trends of sustainable development of the complex and the limitations obstructing them. The dynamics of investment and construction complex is considered as a self-organization process basing on information interchange, which allowed presenting a conceptual scheme and lifecycle of the changes in the system as a process of accumulation and dynamics of different innovations. The theoretical assumptions on the essence of the management process were proved thanks to empirical analysis of control system changes of investment and construction complex basing on the model of converging development spiral.

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Bhardwaj, Shubham, Rajeshwar Verma, Romil Sharma, and Rahul Solakhia. "PHARMACOVIGILANCE: DYNAMICS IN INDIAN PHARMA INDUSTRY." Indian Journal of Pharmaceutical and Biological Research 6, no. 01 (March 31, 2018): 30–33. http://dx.doi.org/10.30750/ijpbr.6.1.5.

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Pharmacovigilance refers to the process of identifying, detecting, and responding to drug safety issue and has witnessed dynamic advancements in pharmaceutical industries throughout the world. The main objective of pharmacovigilance is to extend the safety monitoring and to detect any ADRs that previously got unrecognized in evolution during clinical trial. ADRs monitoring is required for each medicine throughout its lifecycle which includes early stage of drug design, clinical trials, and post marketing surveillance. The emerging trend in pharmacovigilance is to link the pre marketing data with the data collected during post marketing phase that include safety information. India is a vast country with population of over 1.32 Billion with different social economics status, different patterns of disease prevalence it becomes more important to have a standardized and robust pharmacovigilance. Pharmacists, as doctor remark that their involvement may increase the reporting rate and have a greater role to play in the area of pharmacovigilance

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Perevaryukha, A. Yu. "ON THE TECHNIQUE OF MODELING ONTOGENETIC CHANGES IN FISH AND INSECTS LIFECYCLE." «System analysis and applied information science», no. 1 (May 4, 2017): 12–23. http://dx.doi.org/10.21122/2309-4923-2017-1-12-23.

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The article discusses the approach to modeling of metamorphoses in the development of a number of species in the context of their influence on the success of long-term trends of population dynamics. Changes in survival during early ontogenesis, controlled by important factor – the rate of individual development in a competing group of individuals, can cause unexpected degradation of population with a small excess fishing impact. The theory of nonlinear efficiency of reproduction leads us to the hypothesis that two different nonlinear effects are controlled by similar mechanisms. For insects such fluctuations in survival during metamorphosis can start another process - the rapid outbreak of pests, where actual formalization of the impact of parasites on the first stage of development, depending on the initial concentration of clutches, but limited resources is taken into account at a finishing. The method has been for submission to decline of generations on the basis of dynamic overriding differential equations with discrete-continuous structure of time. To extend the previously proposed model for the formation of generations is formed computing structure for the account mortality depending on the level of competition, complete with trigger functional and a new scheme describing the changes the growth rate for the example of the Caspian Sea sturgeon in three ecological and physiological stages of development. The new model has a non-trivial possibilities parametrically modification of behavior regimes. The coexistence of alternative cycles is explained by the increase in adaptive interspecies differences.

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Gallego-García, Sergio, and Manuel García-García. "Market-Oriented Procurement Planning Leading to a Higher Service Level and Cost Optimization." Applied Sciences 10, no. 23 (December 6, 2020): 8734. http://dx.doi.org/10.3390/app10238734.

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The current global market situation pursues high adaptability, but why? Complexity due to mass customization is greater than ever. Globalization is no longer a theory but a fact that makes disruptions in the globalized supply chain a major risk for operations. In this context, customers demand novelty and unique experiences. These are the main drivers for market success. Therefore, existing products are now in continuous states of change with shortened product lifecycles. The purpose of this article is to analyze the impact of new market entries and product changes along the lifecycle as well as supply chain disruptions in supplier inventory levels. The goal is to minimize costs by achieving a given service level with a market-oriented procurement planning model. The model pursues minimizing the time needed to align the system with the market and, therefore, the adaptability of the system. The research compares classical inventory management models with the new proposed approach by means of simulation with the system dynamics methodology. The results show how the proposed model increased the delivery service level, reduced inventory costs, and increased the utilization of resources due to lower demand uncertainty. Therefore, the developed model is able to plan the inventory supply with a low risk of stock outages. The conclusion proposes a differentiated forecasting and inventory strategy depending on the product lifecycle stage. The developed market-oriented procurement planning model provides guidance for inventory managers regarding how to optimize their operations as an opportunity within the fourth industrial revolution to develop information technology (IT) systems to gather and utilize demand and inventory data with real-time efficiency.

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Shivakumar, Shailesh Kumar. "Software Estimation Framework for Digital Enhancements and Maintenance Projects." International Journal of Project Management and Productivity Assessment 8, no. 2 (July 2020): 81–96. http://dx.doi.org/10.4018/ijpmpa.2020070105.

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Software enhancements and the maintenance phase is generally the crucial phase of a software application lifecycle. The enhancements and maintenance consume about 20% of the overall software lifecycle effort. Enhancement and maintenance phase of modern digital projects involves many activities such as incident management, application enhancements, generic maintenance, quality improvements such as automation, preventive maintenance, continuous improvement, and such. State-of the-art estimation models and frameworks fall short of factoring all the dynamics involved in the enhancements and maintenance phase. The article proposes a digital project maintenance estimation framework to estimate various activities of a digital maintenance project. The proposed estimation framework provides comprehensive coverage of maintenance activities including incident management, application enhancements, generic maintenance, and quality improvements. The proposed estimation framework was used to predict effort estimate of 5 digital maintenance projects with MMRE of 0.255 and predicted (0.3) of 80%.

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Qin, Jiao, Jing-Qiu Feng, Wei Zhang, and Shi-Bao Zhang. "Mycorrhizal Fungal Partners Remain Constant during a Root Lifecycle of Pleione bulbocodioides (Orchidaceae)." Journal of Fungi 7, no. 11 (November 22, 2021): 994. http://dx.doi.org/10.3390/jof7110994.

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Mycorrhizal mutualisms are vital for orchids through germination to adulthood. Fungal species diversity and community composition vary across seasons and plant development stages and affect plant survival, adaptation, and community maintenance. Knowledge of the temporal turnover of mycorrhizal fungi (OMF) remains poorly understood in the eco-physiologically diverse orchids (especially in epiphytic orchids), although it is important to understand the function and adaptation of mycorrhizae. Some species of Pleione are epiphytic plants with annual roots and may recruit different fungal partners during their root lifecycle. Based on continuous samplings of Pleione bulbocodioides during a whole root lifecycle, we characterized the fungal temporal dynamics using Illumina sequencing of the ITS2 region. Our data showed that the plants of P. bulbocodioides were quickly colonized by OMF at root emergence and had a constant OMF composition throughout one root lifecycle, although the OMF richness declined with root aging after a peak occurrence during root elongation. In contrast, the richness of root-inhabiting fungal endophytes kept increasing with root aging and more drastic turnovers were found in their species compositions. Our findings of OMF temporal turnover contribute to further understanding of mycorrhizal associations and adaptation of Orchidaceae and will benefit orchid resource conservation and utilization.

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Angrisano, Fiona, Michael J. Delves, Angelika Sturm, Vanessa Mollard, Geoffrey I. McFadden, Robert E. Sinden, and Jake Baum. "A GFP-Actin reporter line to explore microfilament dynamics across the malaria parasite lifecycle." Molecular and Biochemical Parasitology 182, no. 1-2 (March 2012): 93–96. http://dx.doi.org/10.1016/j.molbiopara.2011.11.008.

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Mikheeva, S. A., and E. V. Potina. "The Life cycle of an Educational Organization: An Empirical Approach." Management Science 9, no. 2 (July 2, 2019): 78–93. http://dx.doi.org/10.26794/2304-022x-2019-9-2-78-93.

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The head of the school, as well as the business owner, it is important to understand the dynamics of the organization’s development. The current formal assessment procedures for schools and various ratings fix the current state of the organization, but do not allow to define at what stage of the development it is. Analysis of existing approaches to determining the stages of the life cycle of organizations has shown that existing methodologies are business-oriented and is not able to be used for educational organizations. The paper describes the school lifecycle model, proposed the methodology of a determining the stage of the school lifecycle using quantitative and qualitative parameters. Assessment the stages of the life cycle of four schools that are identical in their characteristics (status, age, size, location) and providing practical solutions are important result of the research. At first, the authors examined the position of the schools in the model of the lifecycle by quantitative indicators using three criteria: education quality, educational process resource supply, competitiveness of educational services. School reports based on self-examination provided the empirical evidence for indicators’ calculation. All the indicators are analyzed in a five-year dynamics, their averages for sample schools are defined over two time periods and percentile changes over a given period are calculated. The life cycle stage of a school is determined based on an aggregate indicator (final school evaluation), which is calculated considering weight coefficients. At second, we determined a dominant organizational culture type, which based on the robert E. Quinn and Kim S. Cameron’s OCAI method, for verification the primary quantitative diagnostics results. Qualitative data was obtained from a teachers and school managers’ poll. The life cycle determination method that has been proposed in this study can be used in management practice by the school principal.

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Kamath, Narasimha B., and Rahul Roy. "Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework." European Journal of Operational Research 179, no. 2 (June 2007): 334–51. http://dx.doi.org/10.1016/j.ejor.2006.03.045.

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DeLonge, Marcia S., Rebecca Ryals, and Whendee L. Silver. "A Lifecycle Model to Evaluate Carbon Sequestration Potential and Greenhouse Gas Dynamics of Managed Grasslands." Ecosystems 16, no. 6 (April 16, 2013): 962–79. http://dx.doi.org/10.1007/s10021-013-9660-5.

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D'Amico, Simona, Luca Giustiniano, Maria Elena Nenni, and Luca Pirolo. "Product Lifecycle Management as a Tool to Create Value in the Fashion System." International Journal of Engineering Business Management 5 (January 1, 2013): 33. http://dx.doi.org/10.5772/56856.

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The aim of this paper is to present the fashion system as a “cluster” and to evaluate the characteristics of Product Lifecycle Management (PLM) taking into account various factors, in particular the different approaches to dealing with market needs. More specifically, the “ready-to-wear fashion” and “fast fashion” models will be presented and compared. The paper takes the Italian fashion system as the unit of analysis and assumes that consumer behavioural factors act in a non-predictable (i.e., random) way in the constantly changing social and cultural environment. Considering the internal complexity of a whole market system, a simplified system dynamics model is proposed.

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Lin, Yu-Ru, Drew Margolin, Brian Keegan, Andrea Baronchelli, and David Lazer. "#Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags." Proceedings of the International AAAI Conference on Web and Social Media 7, no. 1 (August 3, 2021): 370–79. http://dx.doi.org/10.1609/icwsm.v7i1.14407.

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We examine the growth, survival, and context of 256 novel hashtags during the 2012 U.S. presidential debates. Our analysis reveals the trajectories of hashtag use fall into two distinct classes: "winners" that emerge more quickly and are sustained for longer periods of time than other "also-rans" hashtags. We propose a "conversational vibrancy" framework to capture dynamics of hashtags based on their topicality, interactivity, diversity, and prominence. Statistical analyses of the growth and persistence of hashtags reveal novel relationships between features of this framework and the relative success of hashtags. Specifically, retweets always contribute to faster hashtag adoption, replies extend the life of "winners" while having no effect on "also-rans." This is the first study on the lifecycle of hashtag adoption and use in response to purely exogenous shocks. We draw on theories of uses and gratification, organizational ecology, and language evolution to discuss these findings and their implications for understanding social influence and collective action in social media more generally.

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Arduíno, Daniela M., A. Raquel Esteves, and Sandra M. Cardoso. "Mitochondrial Fusion/Fission, Transport and Autophagy in Parkinson's Disease: When Mitochondria Get Nasty." Parkinson's Disease 2011 (2011): 1–13. http://dx.doi.org/10.4061/2011/767230.

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Understanding the molecular basis of Parkinson's disease (PD) has proven to be a major challenge in the field of neurodegenerative diseases. Although several hypotheses have been proposed to explain the molecular mechanisms underlying the pathogenesis of PD, a growing body of evidence has highlighted the role of mitochondrial dysfunction and the disruption of the mechanisms of mitochondrial dynamics in PD and other parkinsonian disorders. In this paper, we comment on the recent advances in how changes in the mitochondrial function and mitochondrial dynamics (fusion/fission, transport, and clearance) contribute to neurodegeneration, specifically focusing on PD. We also evaluate the current controversies in those issues and discuss the role of fusion/fission dynamics in the mitochondrial lifecycle and maintenance. We propose that cellular demise and neurodegeneration in PD are due to the interplay between mitochondrial dysfunction, mitochondrial trafficking disruption, and impaired autophagic clearance.

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Habtour, Ed M., Daniel P. Cole, Christopher M. Kube, Todd C. Henry, Robert A. Haynes, Frank Gardea, Tomoko Sano, and Tiedo Tinga. "Structural state awareness through integration of global dynamic and local material behavior." Journal of Intelligent Material Systems and Structures 30, no. 9 (February 24, 2019): 1355–65. http://dx.doi.org/10.1177/1045389x19828489.

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Structural health monitoring and nondestructive inspection techniques typically assess the lifecycle and reliability of high-value aerospace, mechanical, and civil systems. Maintenance and inspection intervals are typically time-based and dependent on the structural health monitoring/nondestructive inspection technique to detect macroscale damage resulting from fatigue or environmental damage. The current work proposes an integrated materials-structures-dynamics approach for providing state awareness of structural health. The proposed approach shifts the conventional structural health monitoring/nondestructive inspection focus of searching for cracks to a health state awareness based on tracking changes in the energetics of the materials-structures-dynamics states. Energy variations are tracked in a cantilevered structure exposed to nonlinear harmonic oscillation, where the strain energy of the beam was derived and used to determine a health state index. Nanoindentation was used to probe the near-surface mechanical properties of the beam to characterize local material variations as a function of fatigue cycles. A nonlinear ultrasonic approach was considered in order to connect the local material behavior changes to the variations in the dynamic performance of the beam. The intent of the investigation was to connect the traditionally detached materials, structural, and dynamics approaches to structural health monitoring/nondestructive inspection, while providing a framework for enabling damage precursor detection.

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Dello Iacono, Umberto, Matthew Reindorp, and Nico Dellaert. "Market adoption of reverse factoring." International Journal of Physical Distribution & Logistics Management 45, no. 3 (April 7, 2015): 286–308. http://dx.doi.org/10.1108/ijpdlm-10-2013-0258.

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Purpose – The purpose of this paper is to show that market dynamics can significantly influence the lifecycle and value of a supply chain finance (SCF) arrangement. Design/methodology/approach – Based on a review of scientific and trade literature, the authors construct a model of market dynamics for reverse factoring, a specific type of SCF arrangement. The authors assume that firms’ participation in a reverse factoring arrangement is determined by the direct benefits they can derive from it. The authors analyse the model by means of simulation in system dynamics. Findings – The authors identify the following market factors as key for direct benefits: competition, interest rates, receivables volumes, and firms’ working capital goals. The authors find that reverse factoring can yield direct benefits for all supply chain participants, but that these benefits are highly sensitive to market conditions. Research limitations/implications – The model is stylized, but this study shows the need for further research on the dynamic aspects of SCF arrangements. Practical implications – The authors show that supply chain actors should carefully consider the expected evolution of market factors when deciding on participation in a reverse factoring arrangement. Originality/value – Existing research on SCF arrangements almost exclusively considers a static context, where market factors take fixed, known values. The authors provide the first study that links the direct benefits of SCF arrangements to dynamic, interacting market factors. The authors utilize system dynamics, a methodology well-suited to the analysis of such settings, to show that a comprehensive assessment of SCF arrangements cannot neglect the evolutionary perspective.

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Malysheva, L. A., and O. G. Kharlamova. "Management of digital transformation of industrial enterprises based on maturity models." SHS Web of Conferences 116 (2021): 00074. http://dx.doi.org/10.1051/shsconf/202111600074.

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This paper considers the issues of the implementation of the digital transformation of industrial enterprises: the analysis of the existing model (AS IS) and planning the desired model (TO BE), depending on different conditions. The authors present the existing business models of digital transformation, reveal different approaches to classification, as well as their drawbacks from the point of view of practical application. In general, the models can be applied to diagnostics, but not to planning the desired state. The principle of classification of transformation models based on the life cycle of the market is proposed: monopoly, oligopoly, competition and monopsony. Firstly, the life-cycle approach allowed applying the author’s Dynamic Model of Changes in Corporate Strategies (Dynamics) to digital transformation. This model was proposed earlier for the classification of traditional business models. Secondly, the life-cycle approach allowed using the maturity models of the industry, strategies, product, processes, data etc. in order to build a planning algorithm for the desired business model. As a result of the lifecycle approach to the classification of business models, it was possible to develop an algorithm for diagnosing and planning the desired digital transformation model, taking into account the limitations of maturity levels and present it in the form of a Digital Dynamic Model of Corporate Strategy Changes (Dynamics).

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Thomas, Albert, Carol C. Menassa, and Vineet R. Kamat. "System Dynamics Framework to Study the Effect of Material Performance on a Building’s Lifecycle Energy Requirements." Journal of Computing in Civil Engineering 30, no. 6 (November 2016): 04016034. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000601.

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Enriquez, Kyle T., W. Dale Plummer, Preston D. Neufer, Walter J. Chazin, William D. Dupont, and Eric P. Skaar. "Temporal modelling of the biofilm lifecycle (TMBL) establishes kinetic analysis of plate-based bacterial biofilm dynamics." Journal of Microbiological Methods 212 (September 2023): 106808. http://dx.doi.org/10.1016/j.mimet.2023.106808.

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Rudolph, Franziska, Judith Hüttemeister, Katharina da Silva Lopes, René Jüttner, Lily Yu, Nora Bergmann, Dhana Friedrich, et al. "Resolving titin’s lifecycle and the spatial organization of protein turnover in mouse cardiomyocytes." Proceedings of the National Academy of Sciences 116, no. 50 (November 22, 2019): 25126–36. http://dx.doi.org/10.1073/pnas.1904385116.

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Cardiac protein homeostasis, sarcomere assembly, and integration of titin as the sarcomeric backbone are tightly regulated to facilitate adaptation and repair. Very little is known on how the >3-MDa titin protein is synthesized, moved, inserted into sarcomeres, detached, and degraded. Here, we generated a bifluorescently labeled knockin mouse to simultaneously visualize both ends of the molecule and follow titin’s life cycle in vivo. We find titin mRNA, protein synthesis and degradation compartmentalized toward the Z-disk in adult, but not embryonic cardiomyocytes. Originating at the Z-disk, titin contributes to a soluble protein pool (>15% of total titin) before it is integrated into the sarcomere lattice. Titin integration, disintegration, and reintegration are stochastic and do not proceed sequentially from Z-disk to M-band, as suggested previously. Exchange between soluble and integrated titin depends on titin protein composition and differs between individual cardiomyocytes. Thus, titin dynamics facilitate embryonic vs. adult sarcomere remodeling with implications for cardiac development and disease.

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Diem, P. G., P. H. Anh, Phu Khanh Nguyen, N. P. Hung, and N. V. Hien. "A Hybrid Control Model to Develop the Trajectory-Tracking Controller for a Quadrotor UAV." Advanced Materials Research 1016 (August 2014): 678–85. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.678.

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A new hybrid model of control implementation is developed to realize trajectory-tracking controllers for quadrotor Unmanned Aerial Vehicles (UAV). This model is based on the Computational Fluid Dynamics (CFD) model and hybrid automata in order to accurately implement control parts of these vehicles, and can be applied to most standard quadrotor UAV platforms. The paper brings out step-by-step the controller development lifecycle for a quadrotor UAV, including the configuration and aerodynamic calculation model for the gathering preliminary inputs of the control application, the control analysis of dynamic model and general architecture, as well as the control design performed by specializing hybrid automata. The detailed design model is then converted into the implementation model by using open-source platforms in order to quickly simulate and realize the trajectory-tracking controller for this quadrotor UAV. Finally, this application was completely deployed and successfully taken on trial flights.

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McAdam, Rodney, and Neil Mitchell. "The influences of critical incidents and lifecycle dynamics on innovation implementation constructs in SMEs: a longitudinal study." International Journal of Technology Management 52, no. 1/2 (2010): 189. http://dx.doi.org/10.1504/ijtm.2010.035862.

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Manral, Lalit. "An evolutionary theory of demand-side determinants of strategy dynamics." Management Research Review 41, no. 3 (March 19, 2018): 314–44. http://dx.doi.org/10.1108/mrr-08-2017-0249.

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Purpose This paper aims to explain how the dynamic demand environment influences strategic firm behavior along an industry’s evolutionary path. A conceptual gap concerning the influence of demand-side environmental factors (vis-à-vis changes in technology and policy) on firms’ strategic choices motivates the theory developed herein. The paper’s contribution to the literature on “evolutionary perspective in strategy” also addresses an important gap in the emerging literature on “strategy dynamics”. Design/methodology/approach The conceptual framework in this paper features a dynamic demand environment that provides the structural context for firms’ strategic choices. It conceptualizes demand-side competence as a mediating firm-specific construct to explain the endogenous relationship between the characteristics of the demand environment and firms’ path dependent demand-side investments. Findings A review of the literature on evolutionary perspective in strategy reveals an important conceptual gap concerning the structural determinants of dynamic firm behavior. There is no explanation of the endogenous relationship between dynamic demand structure, firms’ dynamic demand-side competence, and temporally heterogeneous strategic choices. Originality/value The demand-side explanation of how idiosyncratic firm behavior is endogenously determined, with both structural characteristics (demand structure) and firm competences (demand-side competence), addresses an important conceptual gap. The novelty of the theory developed herein lies in its explication of the effect of dynamic demand environment on the evolution of idiosyncratic strategic firm behavior – entry, investment and exit – along the evolutionary path of an industry. The theory developed herein not only explains the effect of both determinants of idiosyncratic strategic firm behavior – the external industry environment (dynamic market structure) and internal firm environment (dynamic firm competences) – but also explains how the determinants evolve along the industry’s lifecycle.

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Khalyasmaa, Alexandra I., Alina I. Stepanova, Stanislav A. Eroshenko, and Pavel V. Matrenin. "Review of the Digital Twin Technology Applications for Electrical Equipment Lifecycle Management." Mathematics 11, no. 6 (March 8, 2023): 1315. http://dx.doi.org/10.3390/math11061315.

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Digital twin is one of the emerging technologies for the digital transformation of the power industry. Many existing studies claim that the widespread application of digital twins will shift the industry to a principally new level of development. This article provides an extensive overview of the industrial application experience of digital twin technologies for solving the problems of modern power systems with a particular focus on the task of high-voltage power equipment lifecycle management. The latter task contours one of the most promising areas for the application of the digital twins in the power industry since it requires deep analysis of the technological processes dynamics and the development of physical, mathematical and computer models that cover all the potential benefits of the digital twin technology. At the moment, there is a lack of reliable data on the problems of assessing and predicting the technical state of high-voltage power equipment. The use of digital twin technology in modern power systems will allow for aggregating data from a variety of real objects and will allow the automatization of collecting and processing of big data by implementing artificial intelligence methods, which will ultimately make it possible to manage the life cycle of the power equipment. The article puts to scrutiny the industrial experience of digital twins creation, considering the technical solutions suggested by the largest manufacturers of electrical equipment. A classification of digital twins, examples and main features of their application in the power industry, including the problem of managing the life cycle of high-voltage electrical equipment, are considered and discussed.

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Mori, Mitja, Manuel Gutiérrez, Mihael Sekavčnik, and Boštjan Drobnič. "Modelling and Environmental Assessment of a Stand-Alone Micro-Grid System in a Mountain Hut Using Renewables." Energies 15, no. 1 (December 29, 2021): 202. http://dx.doi.org/10.3390/en15010202.

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Mountain huts are stand-alone micro-grid systems that are not connected to a power grid. However, they impact the environment by generating electricity and through day-to-day operations. The installed generator needs to be flexible to cover fluctuations in the energy demand. Replacing fossil fuels with renewable energy sources presents a challenge when it comes to balancing electricity generation and consumption. This paper presents an integration-and-optimization process for renewable energy sources in a mountain hut’s electricity generation system combined with a lifecycle assessment. A custom computational model was developed, validated with experimental data and integrated into a TRNSYS model. Five different electricity generation topologies were modelled to find the best configuration that matches the dynamics and meets the cumulative electricity demand. A lifecycle assessment methodology was used to evaluate the environmental impacts of all the topologies for one typical operating year. The carbon footprint could be reduced by 34% in the case of the actually implemented system upgrade, and by up to 47% in the case of 100% renewable electricity generation. An investment cost analysis shows that improving the battery charging strategy has a minor effect on the payback time, but it can significantly reduce the environmental impacts.

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Matthews, Holly, Jennifer McDonald, Francis Isidore G. Totañes, and Catherine J. Merrick. "Dynamics of DNA Replication during Male Gametogenesis in the Malaria Parasite Plasmodium Falciparum." Cellular Microbiology 2022 (August 29, 2022): 1–17. http://dx.doi.org/10.1155/2022/2701868.

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Malaria parasites undergo a single phase of sexual reproduction in their complex lifecycle. It involves specialised, sexually committed cells called gametocytes, which develop rapidly into mature gametes and mate upon entering the mosquito midgut. Gamete development is unique, involving unprecedentedly fast replication to produce male gametes. Within ~15 minutes a male gametocyte replicates its ~23 Mb genome three times to produce 8 genomes, segregates these into newly-assembled flagellated gametes and releases them to seek female gametes. Here, for the first time, we use fluorescent labelling of de novo DNA synthesis to follow this process at the whole-cell and single-molecule levels. We make several novel observations, including characterising the origin recognition complex protein Orc1 for the first time in gametocytes, finding that cytokinesis is uncoupled from DNA replication (implying a lack of cell cycle checkpoints), and that the single-molecule dynamics of DNA replication are entirely different from the dynamics in asexual schizogony.

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Pal, Anjan, Alton Y. K. Chua, and Snehasish Banerjee. "Exploring the Dynamics of Justification in the Wake of a Rumor Outbreak on Social Media." International Journal of Knowledge Management 18, no. 1 (January 2022): 1–15. http://dx.doi.org/10.4018/ijkm.291100.

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This paper explores the dynamics of justification in the wake of a rumor outbreak on social media. Specifically, it examines the extent to which the five types of justification—descriptive argumentation, presumptive argumentation, evidentialism, truth skepticism, and epistemological skepticism—manifested in different voices including pro-rumor, anti-rumor and doubts before and after fact-checking. Content analysis was employed on 1,911 tweets related to a rumor outbreak. Non-parametric cross-tabulation was used to uncover nuances in information sharing before and after fact-checking. Augmenting the literature which suggests the online community’s susceptibility to hoaxes, the paper offers a silver lining: Users are responsible enough to correct rumors during the later phase of a rumor lifecycle. This sense of public-spiritedness can be harnessed by knowledge management practitioners and public relations professionals for crowdsourced rumor refutation.

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Strati, Katerina. "Changing Stem Cell Dynamics during Papillomavirus Infection: Potential Roles for Cellular Plasticity in the Viral Lifecycle and Disease." Viruses 9, no. 8 (August 12, 2017): 221. http://dx.doi.org/10.3390/v9080221.

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