scholarly journals Gemini Principles-Based Digital Twin Maturity Model for Asset Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Questionnaire Survey ◽  
New Technologies ◽  
Maturity Model ◽  
Maturity Models ◽  
Digital Twin ◽  
Project Level

Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.

Enterprise Content Management (ECM) Maturity Models

2019 ◽  
pp. 34-60
Author(s):  
Chris Foley
Keyword(s):  
Case Studies ◽  
Content Management ◽  
Maturity Model ◽  
Assessment Framework ◽  
Maturity Models ◽  
Considerable Research ◽  
Enterprise Content Management ◽  
Consulting Firms ◽  
Implementation Method

A maturity model in the enterprise content management (ECM) sphere serves to evaluate an organization's performance against an assessment framework, and to determine roadmaps for optimizing that performance. Such tools are developed typically by academics, informed by considerable research, or by consulting firms that use their maturity model tool to promote the sale of their own products and services. Therefore, the experience of practitioners with using ECM maturity models is underrepresented in the literature. Practitioners require tools that are quick to implement whilst providing useful insights. This chapter explores two case studies in which the author conducted quick assessments using a maturity model as a guide. The case studies indicate that while quick assessments are useful, they need to be included as part of a maturity tool to ensure that the implementation method is repeatable and the results consistent.

Customer Experience Maturity Models – Improving the Business Results

2018 ◽  
Vol 6 (7) ◽  
pp. 228
Author(s):  
Maria Enescu ◽  
Marian Enescu
Keyword(s):  
Case Studies ◽  
Proficiency Testing ◽  
Customer Experience ◽  
Digital Tools ◽  
Maturity Models ◽  
Business Results ◽  
Competency Evaluation

Customer experience maturity of any organization is important for its business results. This paper describes two kinds of maturity models, one based on competency evaluation of the employees on customer’s best applied practices, and the second on maturity of using digital tools to increase the customer good experience when working with the company. These approaches are useful when discuss the performance of enterprises providing products or services in the age of customer. The included case studies show the applicability of the procedures and open a way to be extended for proficiency testing workshops (for similar business) or in ranking the enterprises from the viewpoint of customer experience maturity.

Advanced Acoustic Micro Imaging Applications: Deciphering Multiple Acoustic Echoes and Reflections

2004 ◽  
Author(s):  
Andrew J. Komrowski ◽  
Luis A. Curiel ◽  
Daniel J. D. Sullivan ◽  
Quang Nguyen ◽  
Lisa Logan-Willams
Keyword(s):  
Failure Analysis ◽  
Case Studies ◽  
New Technologies ◽  
Electronic Packages ◽  
Advanced Packaging ◽  
Ic Package ◽  
Non Destructive

Abstract The acquisition of reliable Acoustic Micro Images (AMI) are an essential non-destructive step in the Failure Analysis (FA) of electronic packages. Advanced packaging and new IC materials present challenges to the collection of reliable AMI signals. The AMI is complicated due to new technologies that utilize an increasing number of interfaces in ICs and packages. We present two case studies in which it is necessary to decipher the acoustic echoes from the signals generated by the interface of interest in order to acquire trustworthy information about the IC package.

NEW TECHNOLOGIES AND PRACTICES FOR WASTE MINIMIZATION IN THE CHEMICAL AND PETROCHEMICAL INDUSTRIES : FINDINGS OF THE SALVADOR, BRAZIL, 1993 CONFERENCE

1994 ◽  
Vol 30 (3) ◽  
pp. 1-9
Author(s):  
Francisco Fontes Lima ◽  
Francisco Alves Pereira
Keyword(s):  
Waste Management ◽  
Environmental Protection ◽  
Case Studies ◽  
New Technologies ◽  
Waste Minimization ◽  
Source Control ◽  
International Conference ◽  
The Third ◽  
Control Programmes ◽  
Petrochemical Industries

This paper describes the findings of the “Third International Conference on Waste Management in the Chemical and Petrochemical Industries,” held in Salvador, Brazil, October 20-23, 1993. A summary of the 74 technical papers, divided into six major categories, is presented together with comments on the more stringent legislation concerning source control programmes. Case studies of two large chemical complexes that have been developing successful waste minimization programmes are described in detail: CETREL-Environmental Protection Company in Camaçari, Brazil, and BASF AG in Ludwigshafen, Germany.

scholarly journals Graceful extensibility in asset management: extending the capacity to adapt in managing cyber-physical railway systems

2021 ◽  
Author(s):  
Jan-jaap Moerman ◽  
Jan Maarten Schraagen ◽  
Jan Braaksma ◽  
Leo van Dongen
Keyword(s):  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Autonomous Driving ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Physical Systems ◽  
Railway Systems

AbstractGraceful extensibility has been recently introduced and can be defined as the ability of a system to extend its capacity to adapt when surprise events challenge its boundaries. It provides basic rules that govern adaptive systems. Railway transportation systems can be considered cyber-physical systems that comprise interacting digital, analog, physical, and human components engineered for safe and reliable railway transport. This enables autonomous driving, new functionalities to achieve higher capacity, greater safety, and real-time health monitoring. New rolling stock introductions require continuous adaptations to meet the challenges of these complex railway systems as an introduction takes several years to complete and deals with changing stakeholder demands, new technologies, and technical constraints which cannot be fully predicted in advance. To sustain adaptability when introducing new rolling stock, the theory of graceful extensibility might be valuable but needs further empirical testing to be useful in the field. This study contributes by assessing the proto-theorems of graceful extensibility in a case study in the railway industry by means of adopting pattern-matching analysis. The results of this study indicate that the majority of theoretical patterns postulated by the theory are corroborated by the data. Guidelines are proposed for further operationalization of the theory in the field. Furthermore, case results indicate the need to adopt management approaches that accept indeterminism as a complement to the prevailing deterministic perspective, to sustain adaptability and deal effectively with surprise events. As such, this study may serve other critical asset introductions dealing with cyber-physical systems in their push for sustained adaptability.

Benchmarking the practices of flexibility with maturity models and frameworks of organizational capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjai Kumar Shukla ◽  
Sushil
Keyword(s):  
Information Technology ◽  
Comparative Analysis ◽  
Business Environment ◽  
Organizational Capabilities ◽  
Maturity Model ◽  
Human Capabilities ◽  
Maturity Models ◽  
Content Type ◽  
Wide Range ◽  
Flexibility Maturity

PurposeOrganizational capabilities are crucial to achieve the objectives. A plethora of maturity models is available to guide organizational capabilities that create a perplexing situation about what stuff to improve and what to leave. Therefore, a unified maturity model addressing a wide range of capabilities is a necessity. This paper establishes that a flexibility maturity model is an unified model containing the operational, strategic and human capabilities.Design/methodology/approachThis paper does a comparative analysis/benchmarking studies of different maturity models/frameworks widely used in the information technology (IT) sector with respect to the flexibility maturity model to establish its comprehensiveness and application in the organization to handle multiple goals.FindingsThis study confirms that the flexibility maturity model has the crucial elements of all the maturity models. If the organizations use the flexibility maturity model, they can avoid the burden of complying with multiple ones and become objective-driven rather than compliance-driven.Research limitations/implicationsThe maturity models used in information technology sectors are used. This work will inspire other maturity models to adopt flexibility phenomena.Practical implicationsThe comparative analysis will give confidence in application of flexibility framework. The business environment and strategic options across organizations are inherently different that the flexibility maturity model well handles.Social implicationsA choice is put to an organization to see the comparison tables produced in this paper and choose the right framework according to the prevailing business situation.Originality/valueThis is the first study that makes a conclusion based on comparative benchmarking of existing maturity models.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

scholarly journals Hospital Management Maturity Models: Literature Review

2021 ◽  
Vol 18 (3) ◽  
Author(s):  
Luciano Trentin ◽  
Gérson Tontini
Keyword(s):  
Literature Review ◽  
Web Of Science ◽  
Hospital Management ◽  
Supply Management ◽  
Maturity Model ◽  
Analysis Model ◽  
Maturity Models ◽  
Comprehensive Literature Review ◽  
Improvement Programs ◽  
The Web

Previous researches show that hospital organizations have initiated improvement programs and invested considerably in the orientation and management of processes, using maturity models to improve structures and learning. In this context, the objective of the present paper is to analyze previous researches related to hospital management maturity models, using the Morton (1994) organizational dimensions' analysis model, adapted for hospital organizations. The Web of Science, Scopus, Spell, Scielo and BDTD platforms were used for this study. We screened 305 identified papers, published from January 2005 till December 2019, using search descriptors: “Maturity Model” and “Hospital management". We identified Forty-one articles as eligible for information extraction and analysis. The surveys are classified into five organizational dimensions: Strategy, Structure, Decision Making, Technology, and People. We found a predominance of the technology management dimension in 25 studies, based on the organizational dimensions. The research is essentially related to information systems, supply management and quality management. Although there are different models of hospital management maturity, it was found that the models developed for hospital organizations are mostly related to their technical / operational areas, but in a fragmented way. The present study contributes to a comprehensive literature review of hospital maturity and management models.

scholarly journals Artificial intelligence maturity model: a systematic literature review

2021 ◽  
Vol 7 ◽  
pp. e661
Author(s):  
Raghad Baker Sadiq ◽  
Nurhizam Safie ◽  
Abdul Hadi Abd Rahman ◽  
Shidrokh Goudarzi
Keyword(s):  
Artificial Intelligence ◽  
Systematic Approach ◽  
State Of The Art ◽  
Model Development ◽  
Significant Proportion ◽  
Maturity Model ◽  
Methodological Issues ◽  
Maturity Models ◽  
Essential Contribution ◽  
Review State

Organizations in various industries have widely developed the artificial intelligence (AI) maturity model as a systematic approach. This study aims to review state-of-the-art studies related to AI maturity models systematically. It allows a deeper understanding of the methodological issues relevant to maturity models, especially in terms of the objectives, methods employed to develop and validate the models, and the scope and characteristics of maturity model development. Our analysis reveals that most works concentrate on developing maturity models with or without their empirical validation. It shows that the most significant proportion of models were designed for specific domains and purposes. Maturity model development typically uses a bottom-up design approach, and most of the models have a descriptive characteristic. Besides that, maturity grid and continuous representation with five levels are currently trending in maturity model development. Six out of 13 studies (46%) on AI maturity pertain to assess the technology aspect, even in specific domains. It confirms that organizations still require an improvement in their AI capability and in strengthening AI maturity. This review provides an essential contribution to the evolution of organizations using AI to explain the concepts, approaches, and elements of maturity models.

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