scholarly journals A Measurement Instrument for Enterprise Architecture Resilience Research: A Pilot Study on Digital Transformation

2022 ◽  
Author(s):  
Adina Aldea ◽  
Amitrajit Sarkar
Keyword(s):  
Pilot Study ◽  
Enterprise Architecture ◽  
Measurement Instrument ◽  
Digital Transformation

Digital Transformation in the Age of Covid

ITNOW ◽  
2021 ◽  
Vol 63 (2) ◽  
pp. 52-53
Author(s):  
Mivy James
Keyword(s):  
Enterprise Architecture ◽  
Digital Transformation

Abstract Mivy James FBCS, Digital Transformation Director at BAE Systems Applied Intelligence, talks to Johanna Hamilton AMBCS about change, enterprise architecture and the long overdue rise of #ImmodestWomen.

scholarly journals A method and a model framework for planning R&D changes in manufacturing enterprises

2021 ◽  
Vol 16 (91) ◽  
pp. 59-68
Author(s):  
Olga V. Stoianova ◽  
◽  
Valeriia D. Moskaleva ◽  
Keyword(s):  
Enterprise Architecture ◽  
Quantitative Estimation ◽  
Digital Transformation ◽  
Model Framework ◽  
Stakeholder Satisfaction ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
Number Of Factors ◽  
Planning Methods ◽  
Transformation Processes

This paper presents a method and a model framework for R&D changes planning in manufacturing enterprises, implementing digital transformation projects. The relevance of development of such method is evident because of growing number of factors, influencing the decision-making process and simultaneously the complexity of such influence estimation increases. Classical changes planning methods in such cases do not ensure required level of estimation objectivity and credibility. The objects of research are industrial enterprises, actively engaged in research, design and engineering. The subject of research are methods and models for R&D process changes planning in context of digital transformation endeavors, being implemented in the companies. The research objective is to develop a R&D process planning method, enabling to account for corporate changes, related to digital transformation processes. The proposed method is based on the analysis of the discrepancies between the actual enterprise architecture and the target one and search for possible solution to rectify these discrepancies. For quantitative estimation of the changes, an integral indicator "stakeholder satisfaction level" is proposed. This indicator is calculated using a set of models (a model framework), those preparation and application sequence is defined by the considered method. The paper describes the concept of the method, the problems, being solved within each stage, tools used and final outcomes. The example of planning R&D changes in manufacturing enterprise illustrates the method in work and provides for better understanding of the concepts, presented in the paper.

Impediments in Healthcare Digital Transformation

2021 ◽  
pp. 1704-1719
Author(s):  
Robert Furda ◽  
Michal Gregus
Keyword(s):  
Quality Of Life ◽  
Information Technologies ◽  
Enterprise Architecture ◽  
Digital Transformation ◽  
Healthcare Sector ◽  
Successful Implementation ◽  
Managerial Decisions ◽  
And Function ◽  
Structural Aspects

This article is addressing the specific impediments that appear in the process of healthcare digital transformation. Enterprise architecture provides the framework for investigating the behavioral and active structural aspects that apply to business and application layers. This includes an analysis of, including inherent relationship between, selected scopes such as strategy, business, and education to standard elements such as process, service, and function of an application. The presented classification and assignment of individual impediments indicate to healthcare managers where they may potentially struggle during different stages of digital transformation. Among others, they facilitate strategic planning and managerial decisions during implementation of the emerging information technologies and techniques. In addition, the idea is to contribute to the successful implementation of healthcare digital transformation, thereby delivering business value within healthcare sector, and consequently to a better quality of life.

The Hospice Environmental Survey (HES): Pilot test of A new Measurement Instrument

1988 ◽  
Vol 18 (3) ◽  
pp. 237-250 ◽  
Author(s):  
Jean H. Taylor ◽  
Norman K. Perrill
Keyword(s):  
Pilot Study ◽  
Environmental Impact ◽  
Terminal Illness ◽  
Measurement Instrument ◽  
Study Data ◽  
First Year ◽  
Pilot Test ◽  
Evaluation Instrument ◽  
Private Space ◽  
Environmental Survey

The Federal Register states that a hospice must furnish a “homelike atmosphere” and private space for families both during and after terminal illness [1]. A hospice inpatient unit, “Hospice House,” was designed and implemented to meet that requirement [2]. The Hospice Environmental Survey (HES) was originated as an evaluation instrument to measure the mandated “homelike atmosphere” and to provide a baseline for future investigations [3]. The objective of the HES was to obtain a measure of the user's perception of the “homelike atmosphere” and the overall environmental impact provided by Hospice House. The HES was distributed to Hospice House users at the end of the first year of operation. In this article we present the HES instrument, methodology, and pilot study data.

scholarly journals Validación de un cuestionario para evaluar valores personales y sociales en jóvenes deportistas (Validation of a questionnaire to evaluate personal and social values in young athletes)

Retos ◽  
2019 ◽  
pp. 152-158
Author(s):  
Gustavo Adolfo Rubio-Rodríguez ◽  
Humberto Serna Gómez ◽  
Ludivia Hernandez Aros ◽  
Nubia Varón Triana
Keyword(s):  
Pilot Study ◽  
Internal Consistency ◽  
Social Values ◽  
Measurement Instrument ◽  
Young Athletes ◽  
Sports Clubs ◽  
Training Schools ◽  
Para Determinar ◽  
Football Training ◽  
The City

El presente manuscrito tiene como propósito enseñar la construcción y validación de un instrumento de medición, cuya funcionalidad permita conocer en jóvenes deportistas comportamientos en materia social y personal, y evidenciar la influencia que ejerce la educación en valores mediante prácticas deportivas. La población objeto de estudio elegida como prueba piloto, estuvo conformada por 40 niños pertenecientes a distintivos clubes deportivos, los cuales hacían parte de diferentes escuelas de formación deportivas en fútbol de la ciudad de Ibagué (Colombia). La validación se logró, luego de procesar los conceptos emitidos por parte de cada uno de los expertos a los que se sometió el instrumento para su evaluación, y de estimar su consistencia interna a través del aplicativo Alfa de Cronbach. Los resultados alcanzados logran establecer que el cuestionario es válido y fiable para determinar los valores personales y sociales en la colectividad estudiada.Abstract. The purpose of this manuscript is to describe the construction and validation of a measurement instrument whose functionality is to learn about young athletes’ behaviors in social and personal matters, and to demonstrate the influence of education of values through sports practices. The population chosen for the pilot study consisted of 40 children belonging to distinctive sports clubs, which were part of different football training schools in the city of Ibague (Colombia). The validation was achieved after processing the concepts issued by each of the experts whom the instrument was submitted to for evaluation, and after estimating its internal consistency by using Cronbach Alpha analysis. Our results establish that the questionnaire is valid and reliable to determine personal and social values in the community studied.

scholarly journals Data Pipelines: Modeling and Evaluation of Models

2021 ◽  
pp. 113-126
Author(s):  
Kaïs Chaabouni ◽  
Alessandra Bagnato
Keyword(s):  
Pilot Study ◽  
Enterprise Architecture ◽  
Data Modeling ◽  
Data Driven ◽  
Software Components ◽  
Monitoring Tool ◽  
Pilot Studies ◽  
Modeling Process ◽  
Modeling Software

AbstractThis chapter outlines the utility of data pipelines modeling in the context of a data driven project and enumerates metrics for evaluating the quality of the data modeling regarding the readability and the comprehensibility of the models. We start with explaining the challenges surrounding the DataBio project that led to the adoption of data pipelines modeling using the Enterprise Architecture language ArchiMate. Then we present the data modeling process with examples from DataBio pilot studies starting with modeling software components provided by project stakeholders and ending up with integration of components into data pipelines that achieve the data analytics lifecycle intended by the pilot study. We end the chapter with the evaluation of the quality of DataBio data pipelines models with metrics collected by a monitoring tool for ArchiMate models.

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