resource interactions
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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruiqi Wei ◽  
Roisin Vize ◽  
Susi Geiger

Purpose This study aims to explore the interactions between two different and potentially complementary boundary resources in coordinating solution networks in a digital platform context: boundary spanners (those individuals who span interorganizational boundaries) and boundary interfaces (the devices that help coordinate interfirm relationships, e.g. electronic data interchanges, algorithms or chatbots). Design/methodology/approach The authors conducted a multiple case study of three firms using digital platforms to coordinate solution networks in the information communication technology and lighting facility industries. Data were collected from 30 semi-structured interviews, which are complemented by secondary data. Findings As task complexity increases, smarter digital interfaces are adopted. When the intelligence level of interfaces is low or moderate, they are only used as tools by boundary spanners or to support boundary spanners’ functions. When the intelligence level of interfaces is high or very high, boundary spanners design the interfaces and let them perform tasks autonomously. They are also sometimes employed to complement interfaces’ technological limitations and customers’ limited user ability. Research limitations/implications The industry contexts of the cases may influence the results. Qualitative case data has limited generalizability. Practical implications This study offers a practical tool for solution providers to effectively deploy boundary employees and digital technologies to offer diverse customized solutions simultaneously. Originality This study contributes to the solution business literature by putting forward a framework of boundary resource interactions in coordinating solution networks in a digital platform context. It contributes to the boundary spanning literature by revealing the shifting functions of boundary spanners and boundary interfaces.


2022 ◽  
Author(s):  
Andrew D Letten

Mechanistic models of resource competition underpin numerous foundational concepts and theories in ecology, and continue to be employed widely to address diverse research questions. Nevertheless, current software tools present a comparatively steep barrier to entry. I introduce the R package rescomp to support the specification, simulation and visualisaton of a broad spectrum of consumer-resource interactions. rescomp is compatible with diverse model specifications, including an unlimited number of consumers and resources, different consumer functional responses (type I, II and III), different resource types (essential or substitutable) and supply dynamics (chemostats, logistic and/or pulsed), delayed consumer introductions, time dependent growth and consumption parameters, and instantaneous changes to consumer and/or resource densities. Several examples on implementing rescomp are provided. In addition, a wide variety of additional examples can be found in the package vignettes, including using rescomp to reproduce the results of several well known studies from the literature. rescomp provides users with an accessible tool to reproduce classic models in ecology, to specify models resembling a wide range of experimental designs, and to explore diverse novel model formulations.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Zachariah G. Schonberger ◽  
Kevin McCann ◽  
Gabriel Gellner

AbstractModular food web theory shows how weak energetic fluxes resulting from consumptive interactions plays a major role in stabilizing food webs in space and time. Despite the reliance on energetic fluxes, food web theory surprisingly remains poorly understood within an ecosystem context that naturally focuses on material fluxes. At the same time, while ecosystem theory has employed modular nutrient-limited ecosystem models to understand how limiting nutrients alter the structure and dynamics of food webs, ecosystem theory has overlooked the role of key ecosystem interactions and their strengths (e.g., plant-nutrient; R-N) in mediating the stability of nutrient-limited ecosystems. Here, towards integrating food web theory and ecosystem theory, we first briefly review consumer-resource interactions (C-R) highlighting the relationship between the structure of C-R interactions and the stability of food web modules. We then translate this framework to nutrient-based systems, showing that the nutrient-plant interaction behaves as a coherent extension of current modular food web theory; however, in contrast to the rule that weak C-R interactions tend to be stabilizing we show that strong nutrient-plant interactions are potent stabilizers in nutrient-limited ecosystem models.


2021 ◽  
Author(s):  
Jorge Guzman

This paper uses the Rubin Causal Model to formalize the treatment effects of a firm choice on its performance. Building from Porter, a firm choice can shape profitability through both strategy and operational effectiveness, but they are distinct in how they do so. The strategic treatment effect is the benefit that is predictable from a firm's characteristics (i.e., resources) and their joint configuration. The strategic determinant function is a mapping of resources to treatment effects, and the role of resource interactions in it determines the importance of coherence for a strategy. Under unconfoundedness, the strategic treatment effect, strategic determinant function, and coherence can be estimated in high-dimensional observational data using machine learning. I present an application estimating the gains from choosing venture capital as early stage financing versus other forms of capital. The results highlight the advantage of considering strategic benefits in this choice. For equity outcomes, there is no average treatment effect of early stage VC, but there is significant heterogeneity: some entrepreneurs can benefit substantially from raising early stage VC, while others be negatively affected. This heterogeneity is predictable from founder, industry and location characteristics. The estimated role of coherence in this choice is moderate. The formalizations in this paper also show that several additional assumptions are required when assessing strategic benefits compared to the usual causal inference. R code to replicate these functions will be included.


2021 ◽  
Vol 27 (3) ◽  
pp. 3905-3910
Author(s):  
Galya Stankova ◽  
◽  
Nevena Tzacheva ◽  
Lidiya Hristova ◽  
◽  
...  

Introduction: The EU strategy “Europe 2020” sets up the instruments and targets for better educational levels and training as social dialogue, awareness-levels raising, law enforcement in the field of EU and national legislation. There are efficient resource interactions with other policy areas such as public health and education. EU funds, such as the European Social Fund (ESF) and the European Program for Employment and Social Innovation (EaSI), will support the application of rules relating to health and safety at work. Purpose of this study is analysis and evaluation of the employees, knowledge about health and safety at the workplace and how effective were the conducted OHS training. Tasks: Defining the level of awareness of workers for possibilities of health damage at work. Measuring the level of OSH training support for the implementation of preventive approaches to health protection in the workflow. Studying the preliminary psychological attitude towards OHS training both for employers and employees. Method: Survey through a questionnaire held among workers and employees in several branches of the private sector. Results: The study provides summarized information on several subjects: workers’ knowledge about dangerous hazards in their own working environment; adherence of the safety at work rules; proper use of personal protective equipment and specific work protective equipment; types of training, outreach and education the employees have undergone; levels of basic knowledge of the law and regulations related to OHS; most common methods of OHS training and education and their interpretation for safety and health at work. Conclusions: Most workers are well aware of the health risks at their workplaces. All of them have passed at least one educational course related to OHS. More than 2/3 of the respondents have participated in several types of training. Workers have a basic knowledge of Bulgarian employment law, but it’s incomplete and can be extended to a better degree. The most common reason for participating in Health and Safety at work training is obligatory both by law or higher management of the company. There is a high need to supplement the OHS legislation.


2021 ◽  
Author(s):  
Alexis D. Synodinos ◽  
Bart Haegeman ◽  
Arnaud Sentis ◽  
José M. Montoya

2021 ◽  
pp. 251484862110225
Author(s):  
Catherine Walker ◽  
Benjamin Coles

In recent years, the concept of ‘nexus’ has become a metaphor for resource interactions (particularly between food, water and energy), a policy apparatus to address resource sustainability and an object of academic analysis. Contending that the ways that nexus has been conceptualised and applied so far are invariably incomplete, this paper marks a concerted attempt to draw geographical scholarship into the conceptualisation of nexus-thinking to offer a more complete reading of resource geographies and their underlying interactions. We present critical nexus-thinking as a conceptual framework for tracing the geographies fashioned by resource nexuses, including the enrolment of human and non-human populations into such nexuses, and how the governance of both routine resource interactions and of ‘shocks’ can impact on such populations. To mobilise critical nexus-thinking as a conceptual framework, we draw out three points of convergence between nexus policy logics and critical geographic/scientific scholarship: socio-material-ecological interactions, politics of scale, and flows, blockages and dis/connectivity. We deploy critical nexus-thinking through analysis that extends the 2014/2015 ‘water crisis’ in the São Paulo Metropolitan Area to other sites, spaces and materials in order to critically evaluate the politics, materiality and spatiality of resource governance, and we use this example to point to how scholars might apply critical nexus-thinking analyses in other contexts.


2021 ◽  
Author(s):  
Jason Cosens Walsman ◽  
Alexander T Strauss ◽  
Spencer R Hall

When epidemics kill hosts and increase their resources, should the density of hosts decrease (with a resource increase, this constitutes a trophic cascade) or increase (a hydra effect)? Seeking answers, we integrate trait measurements, a resource-host-parasite model, and experimental epidemics with plankton. This combination reveals how a spectrum from cascades to hydra effects can arise. It reflects tension between parasite-driven mortality (a density-mediated effect) and foraging depression upon contact with parasite propagules (a trait-mediated one). In the model, mortality rises when higher susceptibility to infection increases infection prevalence. Epidemics release resources while suppressing hosts (creating a cascade). In contrast, when hosts are less susceptible and parasites depress their foraging, a resource feedback can elevate host density during epidemics (creating a hydra effect), particularly at higher carrying capacity of resources. This combination elevates primary production relative to per-host consumption of resources (two key determinants of host density). We test these predictions of the qualitative effects of host traits and resource carrying capacity with trait measurements and a mesocosm experiment. Trait measurements show clonal lines of zooplankton hosts differ in their foraging depression and susceptibility. We seeded resource-host-parasite mesocosms with different host genotypes and provided different nutrient supplies to test model predictions. Hydra effects and trophic cascades arose under different conditions, as predicted by the model. Hence, tension between trait-mediated and density-mediated effects of parasites governs the fate of host density during epidemics, from cascades to hydra effects, via feedbacks with resources.


2021 ◽  
Author(s):  
Abhyudai Singh

AbstractThe interaction between a consumer (such as, a predator or a parasitoid) and a resource (such as, a prey or a host) forms an integral motif in ecological food webs, and has been modeled since the early 20th century starting from the seminal work of Lotka and Volterra. While the Lotka-Volterra predator-prey model predicts a neutrally stable equilibrium with oscillating population densities, a density-dependent predator attack rate is known to stabilize the equilibrium. Here, we consider a stochastic formulation of the Lotka-Volterra model where the prey’s reproduction rate is a random process, and the predator’s attack rate depends on both the prey and predator population densities. Analysis shows that increasing the sensitivity of the attack rate to the prey density attenuates the magnitude of stochastic fluctuations in the population densities. In contrast, these fluctuations vary non-monotonically with the sensitivity of the attack rate to the predator density with an optimal level of sensitivity minimizing the magnitude of fluctuations. Interestingly, our systematic study of the predator-prey correlations reveals distinct signatures depending on the form of the density-dependent attack rate. In summary, stochastic dynamics of nonlinear Lotka-Volterra models can be harnessed to infer density-dependent mechanisms regulating consumer-resource interactions. Moreover, these mechanisms can have contrasting consequences on population fluctuations, with predator-dependent attack rates amplifying stochasticity, while prey-dependent attack rates countering to buffer fluctuations.


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