scholarly journals METHODOLOGICAL APPROACH TO CREATING A MODEL OF COST-EFFECTIVE MECHANISM FOR MANAGING INNOVATIVE ACTIVITY OF HOTEL ORGANIZATIONS

2021 ◽  
pp. 68-76
Author(s):  
T. P. Levchenko ◽  
M. B. Moldazhanov ◽  
V. V. Purichi ◽  
I. V. Strishkina
Keyword(s):  
Innovation Management ◽  
Methodological Approach ◽  
Cost Effective ◽  
Innovative Activity ◽  
Effective Management ◽  
Management Mechanism ◽  
Effective Mechanism ◽  
Scenario Modeling ◽  
Proposed Model ◽  
Activity Management

The transition of hotel organizations to a qualitatively new level of development can be ensured by the formation and use of a cost-effective innovation management mechanism. The article attempts to create a model of a cost-effective management mechanism that could take into account the multifaceted relationships of indicators and indicators of innovative activity. The operation of this mechanism implies the use of indicative control tools, as well as factor and scenario modeling. The author considers the mechanism from the perspective of implementing five interconnected blocks: subjects, goals and tasks, objects, processes and resulting effects. The content of the resulting effects of the implementation of innovative processes based on the calculation of integral indicators of innovative activity and its elements. Based on the proposed model of a cost-effective mechanism for managing the innovative activity of hotel organizations, an analysis of trends in the level of innovative activity was carried out at using the example of three hotel in Sochi, their graphical interpretation is presented. As part of the presented model, scenario modeling of innovative activity management was carried out as one of its tools, a graph of the ratio of indicators of innovative activity of hotel organizations in Sochi was built.

Public Procurement and Innovative Economy Forming

2010 ◽  
pp. 108-117 ◽  
Author(s):  
I. Smotritskaya ◽  
S. Chernykh
Keyword(s):  
Conceptual Framework ◽  
Public Procurement ◽  
Innovative Activity ◽  
Institutional Framework ◽  
Effective Management ◽  
Russian Economy ◽  
Public Resources ◽  
Innovative Economy ◽  
Procurement System

The article analyzes the conceptual framework of public procurement system as an integral part of public regulation to ensure effective management of public resources. The authors consider the problems of transition to a new "quality" of the procurement system, increasing its innovative activity. They put forward proposals for institutional framework and mechanisms of regulating procurement, meeting the needs in innovative upgrading and modernization of the Russian economy.

Bioavailability of phosphorus as a tool for efficient P reduction schemes

1998 ◽  
Vol 37 (3) ◽  
pp. 241-247 ◽  
Author(s):  
Peter Gerdes ◽  
Sabine Kunst
Keyword(s):  
Sewage Treatment ◽  
Cost Effective ◽  
Effective Management ◽  
Lower Saxony ◽  
Effective Strategies ◽  
P Balance ◽  
Different Sources ◽  
Total P ◽  
P Sources ◽  
P Bioavailability

The bioavailability of phosphorus from different sources has been evaluated in the catchment area of the River Ilmenau (Lower-Saxony, Germany) by using algal assays. The P bioavailability describes the different potential of P from various sources of supporting eutrophication. Effluents from sewage treatment plants were highly bioavailable (72% of TP) whereas rainwater (26%) and erosion effluents (30%) showed a low bioavailability. In order to develop effective strategies to minimize P inputs into the river, source specific P bioavailability indices were determined and combined with a P balance to calculate inputs of vioavailable P (BAP) instead of total P (TP). It could be shown that the relative importance of the different P sources changes when applying BAP. Measures to reduce P inputs into the River Ilmenau will take P bioavailability into consideration and therefore lead to a more cost-effective management.

Guides for Estimating Forest Stand Losses to Gypsy Moth

1984 ◽  
Vol 1 (2) ◽  
pp. 21-23 ◽  
Author(s):  
David A. Gansner ◽  
Owen W. Herrick
Keyword(s):  
Species Composition ◽  
Gypsy Moth ◽  
Tree Mortality ◽  
Cost Effective ◽  
Forest Stand ◽  
Measure Data ◽  
Effective Management ◽  
Field Plot ◽  
Crown Condition ◽  
As Species

Abstract People who have to make decisions about cost-effective management for gypsy moth need help in predicting and evaluating its effects. Field plot data collected during recent outbreaks in Pennsylvania are being used to develop guides for predicting forest stand losses to the pest Presented here are some of the more useful products of that effort to date. Easy-to-measure data for forest characteristics such as species composition and crown condition can be collected and applied in models that estimate potential stand and tree mortality and changes in timber value. North. J. Appl. For. 2:21-23, June 1984.

scholarly journals Investigating the effectiveness and cost-effectiveness of FITNET-NHS (Fatigue In Teenagers on the interNET in the NHS) compared to activity management to treat paediatric chronic fatigue syndrome (CFS)/myalgic encephalomyelitis (ME): amendment to the published protocol

Trials ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Emma Anderson ◽  
Daisy Gaunt ◽  
Chris Metcalfe ◽  
Manmita Rai ◽  
William Hollingworth ◽  
...  
Keyword(s):  
Chronic Fatigue Syndrome ◽  
Cost Effective ◽  
Chronic Fatigue ◽  
Behavioural Therapy ◽  
The Internet ◽  
Trial Protocol ◽  
Fatigue Syndrome ◽  
Therapy Program ◽  
Cognitive Behavioural ◽  
Activity Management

Abstract The FITNET-NHS Trial is a UK, national, trial investigating whether an online cognitive behavioural therapy program (FITNET-NHS) for treating chronic fatigue syndrome/ME in adolescents is clinically effective and cost-effective in the NHS. At the time of writing (September 2019), the trial was recruiting participants. This article presents an update to the planned sample size and data collection duration previously published within the trial protocol. Trial registration ISRCTN, ID: 18020851. Registered 8 April 2016.

scholarly journals How chief risk officers (CROs) can have meaningful and productive dealings with insurance agencies: a leading example

2021 ◽  
Vol 1 (5) ◽  
Author(s):  
Alberto Bettanti ◽  
Antonella Lanati
Keyword(s):  
Monte Carlo Simulation ◽  
Methodological Approach ◽  
Cost Effective ◽  
Third Parties ◽  
Computational Tool ◽  
Building Relationships ◽  
Total Cost ◽  
Retention Level ◽  
Operational Risks ◽  
Risk Appetite

AbstractIn broad terms, risk management (RM) covers four conventional actions in addressing operational risks (OpRisks), i.e., actions to mitigate, eliminate, accept, and transfer operational risks. In relation to transferring OpRisks to external third parties, this study aids chief risk officers (CROs) in addressing issues related to the reduction of economic exposure to OpRisk. In this respect, the economic handling of OpRisks and their coverage through specific insurance programs are among the major challenges that CROs face within their roles. The aim of this paper is to provide CROs with an analytical pathway to addressing these challenges by applying the total cost of risk (TCoR) method tailored to their purposes. Through a leading example, this paper demonstrates that the TCoR approach meaningfully and productively supports CROs’ decisions when striving to deal with OpRisk. In fact, the TCoR approach implementation, together with the application of Monte Carlo simulation as a computational tool, drives TCoR value optimization when OpRisk is transferred to insurance agencies. In addition, by applying a TCoR framework, CROs can find the correct and cost-effective balance between the company’s retention level—consistent with the company’s risk appetite—and the premiums paid to insurance agencies. In conclusion, this paper provides CROs with a methodological approach for efficiently building relationships with insurance agencies by consistently addressing TCoR-based dealings.

scholarly journals Graph contextualized attention network for predicting synthetic lethality in human cancers

2021 ◽  
Author(s):  
Yahui Long ◽  
Min Wu ◽  
Yong Liu ◽  
Jie Zheng ◽  
Chee Keong Kwoh ◽  
...  
Keyword(s):  
Synthetic Lethality ◽  
Critical Role ◽  
Design Feature ◽  
Cost Effective ◽  
Attention Network ◽  
New Genes ◽  
Lab Experiments ◽  
Proposed Model ◽  
Multiple Feature ◽  
Wet Lab

Abstract Motivation Synthetic Lethality (SL) plays an increasingly critical role in the targeted anticancer therapeutics. In addition, identifying SL interactions can create opportunities to selectively kill cancer cells without harming normal cells. Given the high cost of wet-lab experiments, in silico prediction of SL interactions as an alternative can be a rapid and cost-effective way to guide the experimental screening of candidate SL pairs. Several matrix factorization-based methods have recently been proposed for human SL prediction. However, they are limited in capturing the dependencies of neighbors. In addition, it is also highly challenging to make accurate predictions for new genes without any known SL partners. Results In this work, we propose a novel graph contextualized attention network named GCATSL to learn gene representations for SL prediction. First, we leverage different data sources to construct multiple feature graphs for genes, which serve as the feature inputs for our GCATSL method. Second, for each feature graph, we design node-level attention mechanism to effectively capture the importance of local and global neighbors and learn local and global representations for the nodes, respectively. We further exploit multi-layer perceptron (MLP) to aggregate the original features with the local and global representations and then derive the feature-specific representations. Third, to derive the final representations, we design feature-level attention to integrate feature-specific representations by taking the importance of different feature graphs into account. Extensive experimental results on three datasets under different settings demonstrated that our GCATSL model outperforms 14 state-of-the-art methods consistently. In addition, case studies further validated the effectiveness of our proposed model in identifying novel SL pairs. Availability Python codes and dataset are freely available on GitHub (https://github.com/longyahui/GCATSL) and Zenodo (https://zenodo.org/record/4522679) under the MIT license.

scholarly journals Renewable Energy Technologies for Energy Efficient Buildings: The Case of Kuwait

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4440
Author(s):  
Bader Alshuraiaan
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Solar Energy ◽  
Energy Savings ◽  
Methodological Approach ◽  
Investment Efficiency ◽  
Renewable Energy Technologies ◽  
Energy Technologies ◽  
Energy Efficient Buildings ◽  
Proposed Model

The purpose of this study is to identify the most relevant renewable energy technologies for buildings and to assess the effectiveness of their implementation in the long term for Kuwait. Methods of analogies and comparisons were used to determine the features of energy efficiency based on the technologies under study. The study proposes the methodological approach to assessing the effectiveness of the introduction of renewable energy technologies, determining the direction of increasing the energy efficiency of buildings and the investment efficiency of introducing these technologies. Renewable energy efficiency analysis for buildings in Kuwait confirms that solar energy systems have been the most widely available for widespread use of solar energy over the past three years. An increasing level of energy efficiency with a decrease in the notional cost of increasing energy savings is characteristic of solar collectors with booster reflectors. The proposed model for assessing the level of energy saving provides an opportunity for economic justification of introducing renewable energy technology in buildings.

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