Relevant bibliographies by topics / Lifecycle dynamics

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  1. Journal articles

Academic literature on the topic 'Lifecycle dynamics'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "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 (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, et al. "The lifecycle of molecular clouds in nearby star-forming disc galaxies." Monthly Notices of the Royal Astronomical Society 493, no. 2 (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 (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 (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 (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 (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 (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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