Influence Of Dynamics Research Articles

Genome Dynamics of Adaptation and Introgression in Neotropical Palms

ABSTRACTAimThe combined influences of demographic dynamics and gene flow on local adaptation in plants is still poorly understood. Here, we used a genome scan approach on three closely related Neotropical palms, Acrocomia aculeata, A. intumescens and A. totai, to identify the evolutionary processes generating shared and lineage‐specific patterns of differentiation and selection across the genomic landscape.LocationAmazonia, Atlantic Forest, Cerrado and Caatinga ecoregions of Brazil.TaxaArecaceae.MethodsWe used target sequence capture and analysis of climatic correlation, detection of selective sweeps, balancing selection, and spatial and non‐spatial models to identify signatures of natural selection and admixture. We also determined temporal dynamics in spatial distribution and demographic changes.ResultsWe found a higher number of lineage‐specific than shared adaptive sites (SNPs) and no evidence of selective sweeps in shared genes, suggesting lineage specific natural selection across species. Further, evidence of balancing selection in several genes was also identified in the three species. Niche‐based and coalescent models suggest that shifts in spatial range during the Quaternary caused overlapping distributions between species, leading to hybridisation between parapatric localities.Main ConclusionsInterspecific hybridisation may have spread both neutral and adaptive SNPs, which may explain the shared adaptive genes between species. Taken together, we show how genomic adaptation can occur despite introgression, through evolutionary processes that likely drive similar patterns of adaptation in other organisms.

Impact of Industry 4.0 on firms' sustainable development in the GCC economies

Goal: This paper utilizes a practice-based view (PBV) and technology-organization-sustainable framework to create and evaluate a research model. The model examines how industry 4.0 (I4.0) affects sustainable development, focusing on the mediating role of 10R advanced manufacturing capabilities. Furthermore, the study also analyzes the moderating influence of environment dynamism (ED). Sustainable development is assessed based on two key factors - financial performance (FP) and sustainable performance (SP). Design / Methodology / Approach: The data is collected by surveying upper management in the GCC manufacturing sector through questionnaires. A total of 232 responses were included in the primary analyses. Data analysis was carried out with the help of SPSS 25.0 and SmartPLS 3.2.8. The dependability and path analysis were established using structural equation modeling (SEM). Results: The results show that I4.0 increases FP, whereas the I4.0-SP relationship is statistically insignificant. However, the I4.0-SP insignificant relationship is moderated by ED. Further, ED also moderates the relationship between I4.0 and 10R advanced manufacturing capabilities, as well as 10R advanced manufacturing capabilities and sustainable development (FP and SP). The 10R capabilities partially mediate the I4.0-FP relationship, whereas the study finds full mediation for the I4.0-SP association. Research limitations: The study employed Google forms to conveniently collect data from GCC industrial senior management using a cross-section design. Originality / Value: This study has identified a business model that impacts sustainable development by integrating I4.0 technologies, ED, and 10R. The study findings have significant implications for managers and policymakers.

Advancing towards sustainable and net-zero supply chains: a comprehensive analysis of knowledge capabilities and industry dynamism

Purpose This research aims to investigate the relationship between knowledge capabilities, engagement capabilities, operational capabilities and sustainable supply chain flexibility in the steel production industry. In addition, it seeks to understand how these elements contribute toward achieving a net-zero supply chain, under the moderation of industry dynamism. Design/methodology/approach In total, 371 people have responded to the self-administered survey that the authors developed. The nonresponse bias analysis was carried out before diving into fundamental assumptions, such as homoscedasticity and normality. The data's reliability and construct validity were assessed by using confirmatory factor analysis. The hypothesized conclusions were supported by subsequent regression outputs, strengthening the body of existing academic research. Findings The research's empirical results highlight the positive relationship among knowledge capabilities, operational capabilities, sustainable supply chain flexibility and net-zero supply chain, particularly under the influence of industry dynamism. Information obtained from the steel production industry corroborates these findings. Moderation role of industry dynamism in the relationship between operational capabilities, engagement capability and sustainable supply chain flexibility was found significant. Originality/value This conceptual framework clarifies how knowledge capability, dynamic capabilities and the flexibility of a sustainable supply chain interact. It highlights how these factors collectively work together to attain a sustainable supply chain with net-zero environmental impact.

Nexus among Digital Leadership, Digital Transformation, and Digital Innovation for Sustainable Financial Performance: Revealing the Influence of Environmental Dynamism

Nexus among Digital Leadership, Digital Transformation, and Digital Innovation for Sustainable Financial Performance: Revealing the Influence of Environmental Dynamism

Geographical Dynamics and Cohort Influences: Unravelling the Impact of Accelerators on New Ventures

Geographical Dynamics and Cohort Influences: Unravelling the Impact of Accelerators on New Ventures

Impacts of Climatic Fluctuations and Vegetation Greening on Regional Hydrological Processes: A Case Study in the Xiaoxinganling Mountains–Sanjiang Plain Region, Northeastern China

The Xiaoxinganling Mountains–Sanjiang Plain region represents a crucial ecological security barrier for the Northeast China Plain and serves as a vital region for national grain production. Over the past two decades, the region has undergone numerous ecological restoration projects. Nevertheless, the combined impact of enhanced vegetation greening and global climate change on the regional hydrological cycle remains inadequately understood. This study employed the distributed hydrological model ESSI-3, reanalysis datasets, and multi-source satellite remote sensing data to quantitatively evaluate the influences of climate change and vegetation dynamics on regional hydrological processes. The study period spans from 2000 to 2020, during which there were significant increases in regional precipitation and leaf area index (p < 0.05). The hydrological simulation results exhibited strong agreement with observed river discharge, evapotranspiration, and terrestrial water storage anomalies, thereby affirming the ESSI-3 model’s reliability in hydrological change assessment. By employing both a constant scenario that solely considered climate change and a dynamic scenario that integrated vegetation dynamics, the findings reveal that: (1) Regionally, climate change driven by increased precipitation significantly augmented runoff fluxes (0.4 mm/year) and water storage components (2.57 mm/year), while evapotranspiration trends downward, attributed primarily to reductions in solar radiation and wind speed; (2) Vegetation greening reversed the decreasing trend in evapotranspiration to an increasing trend, thus exerting a negative impact on runoff and water storage. However, long-term simulations demonstrated that regional runoff fluxes (0.38 mm/year) and water storage components (2.21 mm/year) continue to increase, mainly due to precipitation increments surpassing those of evapotranspiration; (3) Spatially, vegetation greening altered the surface soil moisture content trend in the eastern forested areas from an increase to a decrease. These findings suggested that sub-regional ecological restoration initiatives, such as afforestation, significantly influence the hydrological cycle, especially in areas with higher vegetation greening. Nevertheless, persistent increases in precipitation could effectively mitigate the moisture deficits induced by vegetation greening. The study’s outcomes provide a basis for alleviating concerns regarding potential water consumption risks associated with future ecological restoration and extensive vegetation greening projects, thereby offering scientific guidance for sustainable water resource management.

Succession and gender dynamics in family firms – A systematic literature review and future research agenda

The influences of gender relations and gender dynamics within family firm succession have been widely studied in recent decades. However, there have been few attempts to synthesise existing results in the field. Thus, this article aims to provide a systematic literature review focusing exclusively on the gendered issues related to family firm succession processes. A comprehensive analysis of 57 journal articles extracted from the Scopus database was conducted. As a result, (1) the topics of gendered influences on daughter’s succession in family firms, (2) gender and succession processes in family firms, and (3) gender and intra-family relationships in family firm succession are identified as the central areas. Based on these findings, a future research agenda is outlined. The paper contributes to the field of family firm research by highlighting the research trends in the gendered analysis of family firm succession, and by pointing out under-researched areas that merit further exploration.

Electric Field Generated at the Millisecond Pulse-Polarized Interface Facilitates the Electrolytic Conversion of SO2 into H2S.

Interfacial electric field holds significant importance in determining both the polar molecular configuration and surface coverage during electrocatalysis. This study introduces a methodology leveraging the varying electric dipole moment of SO2 under distinct interfacial electric field strengths to enhance the selectivity of the SO2 electroreduction process. This approach presented the first attempt to utilize pulsed voltage application to the Au/PTFE membrane electrode for the control of the molecular configuration and coverage of SO2 on the electrode surface. Remarkably, the modulation of pulse duration resulted in a substantial inhibition of the hydrogen evolution reaction (HER) (FEH2 < 3%) under millisecond pulse conditions (ta = 10 ms, tc = 300 ms, Ea = -0.8 V (vs Hg/Hg2SO4), Ec = -1.8 V (vs Hg/Hg2SO4)), concomitant with a noteworthy enhancement in H2S selectivity (FEH2S > 97%). A comprehensive analysis, incorporating in situ Raman spectroscopy, electrochemical quartz crystal microbalance, COMSOL simulations, and DFT calculations, corroborated the increased selectivity of H2S products was primarily associated with the inherently large dipole moment of the SO2 molecule. The enhancement of the interfacial electric field induced by millisecond pulses was instrumental in amplifying SO2 coverage, activating SO2, facilitating the formation of the pivotal intermediate product *SOH, and effectively reducing the reaction energy barrier in the SO2 reduction process. These findings provide novel insights into the influences of ion and molecular transport dynamics, as well as the temporal intricacies of competitive pathways during the SO2 electroreduction process. Moreover, it underscores the intrinsic correlation between the electric dipole moment and surface-molecule interaction of the catalyst.

Environmental dynamism's influence on firm growth: Transformational leadership and strategic flexibility insights

This paper aims to explore the impact of environmental dynamism on a firm's ability to sustain growth and consider the role of transformational leadership and strategic flexibility in this context. The analysis results based on structural equation modeling (PLS-SEM) indicate that environmental dynamism significantly impacts a firm's ability to sustain growth and that transformational leadership and strategic flexibility can enhance this impact. Specifically, transformational leadership can promote innovation and change, improving a firm's ability to sustain growth. At the same time, strategic flexibility can help a firm respond to environmental changes and improve its adaptability and competitiveness. Therefore, companies should focus on leadership and strategic expansion in the face of ecological dynamism and adjust their strategies at the right time to respond to the changing market competition.

Modeling assessment on the influences of physiographic dynamics of landscape and micro-climatic conditions at Siffu-Mallig Watershed in the Philippines

Modeling assessment on the influences of physiographic dynamics of landscape and micro-climatic conditions at Siffu-Mallig Watershed in the Philippines

Institutional pressure and responsible innovation: how big data analytics adoption drives manufacturing SMEs toward competitiveness

Purpose This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA. Design/methodology/approach The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique. Findings The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA. Research limitations/implications For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA. Originality/value The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.

The influences of Yellow River input and nutrient dynamics on colloidal Fe migration in the Bohai Sea, China

The coupling relationship between the <1 kDa, 1–3 kDa, 3–10 kDa, 10–100 kDa, and 100 kDa–0.45 μm Fe fractions and the environmental factors in the Bohai Sea (BS) was investigated. The 1–100 kDa Fe in the surface water exhibited a non-conservative phenomenon during the river–sea mixing process, which was related to the removal of colloidal Fe via flocculation during this process. For the bottom water, the ligands released by the sediments may form additions to the <100 kDa Fe. The COC and DOC were mainly closely related to the behavior of the Fe in the bottom water. The <1 and 3–10 kDa Fe was mainly significantly positively correlated with the DOC, while the <100 kDa–0.45 μm Fe was significantly negatively correlated with the DOC. <100 kDa LMW colloidal Fe exhibited more synergistic behavior with easily absorbed ammonium salts.

Ideologies in outdoor public signs in Bali: A critical pragmatic and linguistic landscape study

Outdoor public signs found in Bali contain ideologies and messages that can be mistakenly understood, potentially triggering conflicts. This study aims to identify and analyze the underlying ideology and the language functions in outdoor public signs found in Bali from the perspective of critical pragmatics and linguistic landscape. The data of this study were outdoor public signs that contain power relation from government and private stakeholders. The data were collected through observation and photography. The data were analyzed through referential and pragmatic identity methods with descriptive-qualitative approach. The theories applied were Halliday’s context of situation, Yule’s speech act, Fairclough’s critical discourse analysis, and Saussure’s signifier and signified. The results show that outdoor public signs in Bali have underlying ideologies, such as ethnocentrism, xenocentrism, and ecologism. The language functions are directive, commisive, and expressive. The ideologies represented by the language used can potentially cause conflicts as they may be sensitive to certain ethnic groups. The findings highlight the significance of critically examining public signage to understand its influence in shaping social dynamics and potential for unintended consequences.

MoMENt: Marked Point Processes with Memory-Enhanced Neural Networks for User Activity Modeling

Marked temporal point process models (MTPPs) aim to model event sequences and event markers (associated features) in continuous time. These models have been applied to various application domains where capturing event dynamics in continuous time is beneficial, such as education systems, social networks, and recommender systems. However, current MTPPs suffer from two major limitations, i.e., inefficient representation of event dynamic’s influence on marker distribution and losing fine-grained representation of historical marker distributions in the modeling. Motivated by these limitations, we propose a novel model called M arked P o int Processes with M emory- E nhanced N eural Ne t works (MoMENt) that can capture the bidirectional interrelations between markers and event dynamics while providing fine-grained marker representations. Specifically, MoMENt is constructed of two concurrent networks: Recurrent Activity Updater (RAU) to capture model event dynamics and Memory-Enhanced Marker Updater (MEMU) to represent markers. Both RAU and MEMU components are designed to update each other at every step to model the bidirectional influence of markers and event dynamics. To obtain a fine-grained representation of maker distributions, MEMU is devised with external memories that model detailed marker-level features with latent component vectors. Our extensive experiments on six real-world user interaction datasets demonstrate that MoMENt can accurately represent users’ activity dynamics, boosting time, type, and marker predictions, as well as recommendation performance up to 76.5%, 65.6%, 77.2%, and 57.7%, respectively, compared to baseline approaches. Furthermore, our case studies show the effectiveness of MoMENt in providing meaningful and fine-grained interpretations of user-system relations over time, e.g., how user choices influence their future preferences in the recommendation domain.

The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator

This research aims to explore the complex interplay between supply chain resilience (SCR), digital supply chain (DSC), and sustainability, focusing on the moderating influence of supply chain dynamism. The goal is to understand how these elements interact within the framework of contemporary supply chain management and how they collectively contribute to enhancing sustainability outcomes. The sample size is 300 CEOs and managers. The study approach integrates quantitative research methods. Structural equation modeling (SEM) is utilized to quantitatively analyze the direct and indirect effects of SCR and DSC on sustainability. The numerous surveys we conduct among supply chain ecosystem stakeholders provide a rich picture of practical implications and contextual nuances. In sum, our early findings generally support a positive relationship between SCR and sustainability in and of itself, declaring the need for more resilient supply networks for sustainability. We further find the beneficial impact of digital technologies in promoting sustainability via enhancing environmental control and controlling for efficiency in supply chains. We also offer evidence to show that supply chain dynamism compounds the positive logic between SCR and DSC and sustainability. As a final word, it must be noted that our work speaks to the burgeoning literature on supply chain dynamism as a moderator by examining the direct and contingent effects of SCR and DSC not only on performance but sustainability. By shedding light on the moderating role of dynamism, the study provides fresh insights into the multifaceted nature of supply chain management and sustainability practices. The study’s findings enhance theoretical understanding by elucidating the synergistic effects of SCR, DSC, and sustainability in dynamic supply chain settings. The study augments the existing theoretical frameworks by integrating the concepts of resilience, digitalization, and sustainability into a comprehensive model. Practical and economical, the research offers actionable guidance for organizations aiming to improve sustainability performance through resilient and digitally advanced supply chains. By acknowledging the role of supply chain dynamism, managers can tailor strategies to manage disruptions effectively and leverage digital innovations. Economically, adopting sustainable practices can result in cost savings and competitive advantages. The research emphasizes the importance of aligning supply chain strategies with sustainability goals to drive long-term value and societal impact.

Dynamic pathways to SMEs performance: Unraveling the influence of organizational learning capability, innovation, market dynamism and market responsiveness in an African emerging economy

ABSTRACT This study explores the complex relationships among organizational learning capability (OLC), innovation, market dynamism, market responsiveness, and the performance of small and medium-sized enterprises (SMEs) in African emerging economies. Our research investigates the role of innovation as a mediator in the OLC-performance relationship, the moderated mediation impact of market dynamism, and the mediated moderation effect of market responsiveness in the indirect relationship. Using data from 225 SMEs from Ghana, and Hayes’s PROCESS bootstrapping procedure the findings confirm that innovation mediates the OLC-performance. Although, market dynamism does not moderate the OLC-innovation relationship, it moderates the indirect relationship between OLC and performance through innovation, with a stronger effect at high levels of market dynamism. Additionally, market responsiveness negatively moderates the innovation–performance relationship, but it amplifies the OLC-performance relationship via innovation, with a more pronounced effect at low levels of market responsiveness. The findings indicate that the OLC-performance relationship is not only complex but depend in firm-specific and external factors.

Insights into the risk of COVID-19 infection in urban neighborhood and its environmental influence factors:A novel approach

Many studies have dealt with the relationship between the built environment and COVID-19 infection in isolation. However, the research approaches were often inadequate in accurately reflecting the risk of COVID-19 infection. Therefore, we aim to develop a novel approach to study the risk of COVID-19 infection and its Environmental Influence Factors (EIFs) at the neighborhood scale. We constructed a multi-agent model of the spatial environment of residential quarters, including models of behavior and COVID-19 infection dynamics, and established 24 experimental schemes based on the Prevention and Control Measures (PCMs) of zonal control, mask-wearing, and outing frequency to simulate and assess the infection risk. The results show that the areas of accessible wood, hard surfaces, and seating are high-risk sites for infection. Zonal control and mask-wearing are effective PCMs, and the EIFs we set all play significant roles in influencing infection risk. Our study provides insight into the effects of PCMs and EIFs related to COVID-19 infection and highlights that the novel approach not only reveals the levels of infection risk and its mechanisms but also detects the spatio-temporal characteristics of behaviors and infection. This novel approach, dealing with individuals, space, environment, behavior, PCMs, and COVID-19 infection dynamics in integration, overcomes the limitations of traditional methods that overlook the influences of the spatio-temporal dynamics of individual behaviors and their environmental factors. It offers theoretical support for designing healthy outdoor built environments and technical support for the PCMs of the epidemic.

Entropy generation and heat transfer analysis of Eyring-Powell nanofluid flow through inclined microchannel subjected to magnetohydrodynamics and heat generation

The current study is inspired to investigate the influences of essential flow dynamics including magnetic field, variable dynamic viscosity, Joule heating, viscous dissipation, porous medium dissipation, heat source, thermal radiation, and convective heating on the mixed convection flow of Eyring-Powell Cu − water nanofluid trough an inclined microchannel in the presence of Darcy-Forchheimer porous medium. The governing mathematical model equations are formulated, converted into dimensionless and thereafter solved numerically in the MATLAB software via Bvp4c-package. The influences of the embedded dimensionless parameters on heat transfer behaviours and entropy generations are displayed trough graphs as well as their physical interpretations are discussed in detail. Consequently, it is revealed that the performance of microchannel thermal system is improved by factors such as injection/suction of fluids, Eyring-Powell fluid, magnetic field, non-Darcy porous medium, Cu − nanoparticles, thermal radiation and convective heating. The drag coefficient and Nusselt number augment with viscous dissipation, variable dynamic viscosity, Darcy porous medium, angle of inclination, Prandtl number and heat source. Moreover, the Nusselt number at around the left and right walls vicinity shows an opposite behaviour with escalating values of the Biot number and thus convective transfer of heat around the microchannel walls is remarkably important. Furthermore, the minimization of net entropy generation rate is achieved with Eyring-Powell fluid, magnetic field, Cu − nanoparticles, thermal radiation and convective heating but it escalates with variable dynamic viscosity, viscous dissipation, angle of inclination, heat source and Prandtl number. Indeed, the irreversibility due to the robust influence of porous medium shows dual behaviours on the net entropy generation rate. Finally, the numerical results are also validated by comparing with the results of already existing literatures and hence, a sounding agreement is attained.

Interplay of Socio-Communal Dynamics and Political Influences: Shaping Higher Education Policy in Kerala

This paper provides a comprehensive analysis of Kerala's education sector, focusing on its achievements, challenges, and the intricate nexus of politics. Kerala is renowned for its advanced education system, high literacy rates and nearly universal primary education. However, disparities persist in higher education, exacerbated by politicization and issues related to social justice. The political landscape in Kerala is deeply intertwined with its education sector, with caste and communal factors influencing governance and policy decisions. The emergence of influential middle-class groups and communal organizations has led to challenges like corruption and nepotism in private educational institutions. Campus politics further exacerbates these issues, limiting academic freedom and governance. Despite advocacy for social justice in higher education policy, disparities among vulnerable groups persist. Addressing these challenges requires collaborative efforts from policymakers, educational institutions, and civil society. Strengthening governance mechanisms, promoting inclusivity, and fostering academic freedom are essential for achieving a more equitable education system in Kerala.

Detection on early dynamic rumor influence and propagation using biogeography-based optimization with deep learning approaches

Detection on early dynamic rumor influence and propagation using biogeography-based optimization with deep learning approaches