Workforce Planning Will Help VA Meet Future Challenges

A Journey of People Development, Processes and Tools

10.2118/208192-ms ◽

2021 ◽

Author(s):

Jorge Salgado Gomes ◽

Robert Clifford Merrill ◽

Shaheena Sohail

Keyword(s):

Human Capital ◽

Staff Development ◽

Workforce Planning ◽

Joint Effort ◽

Domain Experts ◽

The People ◽

Future Challenges ◽

The Creation ◽

People Development ◽

Verification Process

Abstract Objective/Scope Abu Dhabi National Oil Company (ADNOC) places a priority on People Development. The reorganisation in 2016, a changing demographic, and increased emphasis on "Emiratisation" of the workforce has only reinforced that priority. The reorganisation fused together disparate companies, each with its own competency standards. The goal of ensuring that UAE national staff are used and developed throughout the organisation, coupled with our demographics, has added to the requirement for standard set of measures and processes for capability development across the ADNOC Group. This initiative has been implemented in phases, beginning with the creation/unification of core technical, behavioral/leadership and business competencies for all subsurface disciplines across the Group. We are now creating a learning organization to address our remaining challenges. A joint effort is required between our human capital and technical discipline leaders. Methods, Procedures, Process The ADNOC Competency Frameworks were created through a joint effort between subject matter experts (SME) and the People Development Team. The deployment of these frameworks was done in two main steps:Creation and verification. This was a joint effort between our Human Capital organisation and domain experts from the operating companies. This deployment also saw the creation of discipline authorities for the subsurface organisation. These "Heads of Discipline" are domain experts with a focus on skills and staff development. A "self-assessment" + "manager verification" process was used to populate the competency framework database.Data analysis. A statistical subset of the data were independently verified by SME interviews. Anomalies, and disciplines with insufficient coverage were scrubbed from the data. A number of analytical tools were used for data analysis, including "Heat Maps" for visual impact.Results, Observations and ConclusionsThe results revealed strength in the "engine room" of the organization, however, some "gaps" were identified. One gap was identified in the transitional grades between the "junior" and "operational" staff. This was consistent for all disciplines, and it is being addressed through specialized training and on-the job work assignments. Another gap was identified in some specialties, in which ADNOC depends on one or two individuals for key skillsets.As we took immediate action to address some gaps, we recognised that a longer term solution was required. This has taken the form of the ADNOC Learning Institute (ALI). The ALI is a comprehensive solution which includes strategic workforce planning, future capabilities, competency and learning frameworks. These will underpin future efforts in technical succession planning and mobility.Novel AdditionsThe ADNOC Learning Institute was crafted to meet the competing challenges of skills development, demographics and Emiratisation. The ALI demonstrates how a unified vision is required to meet future challenges.

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Correction to: System dynamics modelling of health workforce planning to address future challenges of Thailand’s Universal Health Coverage

Human Resources for Health ◽

10.1186/s12960-021-00589-w ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Borwornsom Leerapan ◽

Pard Teekasap ◽

Nipaporn Urwannachotima ◽

Wararat Jaichuen ◽

Kwanpracha Chiangchaisakulthai ◽

...

Keyword(s):

System Dynamics ◽

Universal Health Coverage ◽

Health Workforce ◽

Workforce Planning ◽

Health Coverage ◽

Health Workforce Planning ◽

System Dynamics Modelling ◽

Future Challenges ◽

Dynamics Modelling ◽

Universal Health

An amendment to this paper has been published and can be accessed via the original article.

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ACE2 as therapeutic agent

Clinical Science ◽

10.1042/cs20200570 ◽

2020 ◽

Vol 134 (19) ◽

pp. 2581-2595

Author(s):

Qiuhong Li ◽

Maria B. Grant ◽

Elaine M. Richards ◽

Mohan K. Raizada

Keyword(s):

Therapeutic Agent ◽

Renin Angiotensin System ◽

Peptide Hormone ◽

Experimental Models ◽

Electrolyte Balance ◽

Ang Ii ◽

Angiotensin Converting Enzyme 2 ◽

Beneficial Effects ◽

Overwhelming Evidence ◽

Future Challenges

Abstract The angiotensin-converting enzyme 2 (ACE2) has emerged as a critical regulator of the renin–angiotensin system (RAS), which plays important roles in cardiovascular homeostasis by regulating vascular tone, fluid and electrolyte balance. ACE2 functions as a carboxymonopeptidase hydrolyzing the cleavage of a single C-terminal residue from Angiotensin-II (Ang-II), the key peptide hormone of RAS, to form Angiotensin-(1-7) (Ang-(1-7)), which binds to the G-protein–coupled Mas receptor and activates signaling pathways that counteract the pathways activated by Ang-II. ACE2 is expressed in a variety of tissues and overwhelming evidence substantiates the beneficial effects of enhancing ACE2/Ang-(1-7)/Mas axis under many pathological conditions in these tissues in experimental models. This review will provide a succinct overview on current strategies to enhance ACE2 as therapeutic agent, and discuss limitations and future challenges. ACE2 also has other functions, such as acting as a co-factor for amino acid transport and being exploited by the severe acute respiratory syndrome coronaviruses (SARS-CoVs) as cellular entry receptor, the implications of these functions in development of ACE2-based therapeutics will also be discussed.

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Future Challenges of Cities in Asia

10.1017/9789048544912 ◽

2019 ◽

Keyword(s):

Future Challenges

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Articles Published in EJPA 2009–2010

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000082 ◽

2011 ◽

Vol 27 (4) ◽

pp. 290-298 ◽

Cited By ~ 2

Author(s):

Tuulia M. Ortner ◽

Isabella Vormittag

Keyword(s):

Psychological Assessment ◽

Rating Scales ◽

Self Report ◽

Related Field ◽

Broad Scope ◽

Future Challenges ◽

Health Related ◽

Report Data ◽

Self Report Data

With reference to EJPA’s unique and broad scope, the current study analyzed the characteristics of the authors as well as the topics and research aims of the 69 empirical articles published in the years 2009–2010. Results revealed that more than one third of the articles were written by authors affiliated with more than one country. With reference to their research aims, an almost comparable number of articles (1) presented a new measure, (2) dealt with adaptations of measures, or (3) dealt with further research on existing measures. Analyses also revealed that most articles did not address any particular field of application. The second largest group was comprised of articles related to the clinical field, followed by the health-related field of application. The majority of all articles put their focus on investigating questionnaires or rating scales, and only a small number of articles investigated procedures classified as tests or properties of interviews. As to further characteristics of the method(s) used, a majority of EJPA contributions addressed self-report data. Results are discussed with reference to publication demands as well as the current and future challenges and demands of psychological assessment.

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Facet Theory

European Psychologist ◽

10.1027/1016-9040.3.1.13 ◽

1998 ◽

Vol 3 (1) ◽

pp. 13-36 ◽

Cited By ~ 54

Author(s):

Ruth Guttman ◽

Charles W. Greenbaum

Keyword(s):

Data Analysis ◽

Animal Behavior ◽

Infant Development ◽

Facet Theory ◽

Structural Relationships ◽

Future Challenges ◽

Spatial Configurations ◽

Multidimensional Methods ◽

Definition Of ◽

Scalogram Analysis

This article gives an overview of Facet Theory, a systematic approach to facilitating theory construction, research design, and data analysis for complex studies, that is particularly appropriate to the behavioral and social sciences. Facet Theory is based on (1) a definitional framework for a universe of observations in the area of study; (2) empirical structures of observations within this framework; (3) a search for correspondence between the definitional system and aspects of the empirical structure for the observations. The development of Facet Theory and Facet Design is reviewed from early scale analysis and the Guttman Scale, leading to the concepts of “mapping sentence,” “universe of content,” “common range,” “content facets,” and nonmetric multidimensional methods of data analysis. In Facet Theory, the definition of the behavioral domain provides a rationale for hypothesizing structural relationships among variables employed in a study. Examples are presented from various areas of research (intelligence, infant development, animal behavior, etc.) to illustrate the methods and results of structural analysis with Smallest Space Analysis (SSA), Multidimensional Scalogram Analysis (MSA), and Partial Order Scalogram Analysis (POSA). The “radex” and “cylindrex” of intelligence tests are shown to be outstanding examples of predicted spatial configurations that have demonstrated the ubiquitous emergence of the same empirical structures in different studies. Further examples are given from studies of spatial abilities, infant development, animal behavior, and others. The use of Facet Theory, with careful construction of theory and design, is shown to provide new insights into existing data; it allows for the diagnosis and discrimination of behavioral traits and makes the generalizability and replication of findings possible, which in turn makes possible the discovery of lawfulness. Achievements, issues, and future challenges of Facet Theory are discussed.

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