Why Test the Theory of Incentives in a Dynamic Framework?

2017 ◽  
Author(s):  
Magali Chaudey
Keyword(s):  
Dynamic Framework

scholarly journals Dynamic Framework for Criticality-Enhanced Quantum Sensing

2021 ◽  
Vol 126 (1) ◽  
Author(s):  
Yaoming Chu ◽  
Shaoliang Zhang ◽  
Baiyi Yu ◽  
Jianming Cai
Keyword(s):  
Dynamic Framework ◽  
Quantum Sensing

Dynamic Framework for Intelligent Control of River Flooding: Case Study

2014 ◽  
Vol 140 (2) ◽  
pp. 258-268 ◽  
Author(s):  
Arturo S. Leon ◽  
Elizabeth A. Kanashiro ◽  
Rachelle Valverde ◽  
Venkataramana Sridhar
Keyword(s):  
Intelligent Control ◽  
River Flooding ◽  
Dynamic Framework

Medication Management System Design for Isolated Patient Care

2020 ◽  
Author(s):  
Samhith Kethireddy Abigail Swamidoss ◽  
Bushra Alghamdi ◽  
Ronald L. Hickman ◽  
Shanina Knighton ◽  
Miriam Pekarek ◽  
...  
Keyword(s):  
System Design ◽  
Language Processing ◽  
Management System ◽  
Classification Tree ◽  
Medication Management ◽  
Care Providers ◽  
Medication Regimen ◽  
Dynamic Framework ◽  
Medication Schedule ◽  
Number Of Patients

Abstract Independent living care for polypharmacy patients can be complicated in those situations with medications that are pro re nata (PRN, “as needed”). Such medication regimen may involve multiple dosing whereby specific drug contraindications might be easily overlooked by hospice and palliative care patients, or by those isolated and not in regular contact with care providers. The goal of this paper is to describe the development steps and current design of a system providing medication decision support for isolated patients. With an increased number of patients living alone or isolated - a situation exacerbated during the COVID19 pandemic – polypharmacy patients may be challenged when PRN (as needed) medications confound what might ordinarily be a routine medication schedule. Central to our medication management system design is the so-called “conversational agent” that when integrated with a natural language processing front- end and classification tree algorithm provide a dynamic framework for patient self-management of medications. Research on “patient need” revealed patients were more likely to embrace the system if the system were autonomous, secure, and not cloud-based.

Dynamic endogeneity and corporate governance-performance relationship

2017 ◽  
Vol 44 (5) ◽  
pp. 727-744
Author(s):  
Sujani Thrikawala ◽  
Stuart Locke ◽  
Krishna Reddy
Keyword(s):  
Corporate Governance ◽  
National Level ◽  
Estimation Method ◽  
Estimation Methods ◽  
Governance System ◽  
Past Performance ◽  
Gmm Estimation ◽  
Content Type ◽  
Dynamic Framework

Purpose The purpose of this paper is to examine the relationship between corporate governance (CG) and microfinance institution (MFI) performance, using a dynamic panel generalised method of moments (GMM) estimator to mitigate the serious issues with endogeneity. Design/methodology/approach Inconsistent findings and a general lack of empirical results for the microfinance industry leave an unclear message regarding the impacts of CG on MFI performance, especially in emerging economies. The authors use GMM estimation techniques to examine whether CG has an influence on MFI performance. Findings This study confirms that the MFIs’ contemporaneous performance and CG characteristics are statistically significantly positively linked with their past performance. This study finds statistically significant governance effects on MFI performance, including the presence of international directors and/or donor representatives on the board, client representatives on the board, percentage of non-executive directors and the quality of the national governance system. Practical implications These findings provide some insights for policy-makers and practitioners to develop suitable policies and guidelines to streamline MFIs’ operations in emerging countries. Moreover, national and international investors and donors may use these finding as a benchmark for their investment and funding decisions. Originality/value This paper is the first to estimate the CG and performance relationship of MFIs in a dynamic framework by applying the GMM estimation method. This approach improves upon traditional estimation methods by controlling the likely sources of endogeneity. Further, this paper examines whether quality of national-level governance characteristics is related to performance measures of profitability and outreach of MFIs.

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