A maturity model for Control and Automation in environmental impact

Lees, Michael

doi:10.1109/aucc.2016.7868206

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Maturity models can be assessed using methods and factors of development such as scope, design, etc. (Lees, 2016). Some of the most common methodologies for assessing technology readiness include but not limited to The Connected Enterprise Maturity Model (Rockwell Automation, 2014), the Industry 4.0 Maturity Model (Schumacher et al, 2016), The L&K model (Leem et al, 2008) and The Blockchain Maturity Model (Wang et al, 2016).…”

Section: Methodologies For Assessing Technology Maturitymentioning

confidence: 99%

“…On the other hand, the Industry 4.0 Maturity Model is focused on having a significant impact on supply chains, business models, and business processes by providing benefits such as standardization in development, higher quality, flexibility, continuous benchmarking, and global competitiveness among strong businesses (Gökalp et al, 2017). Although the model is very comprehensive, it has a limited application area, mainly focusing on the manufacturing industry (Lees, 2016).…”

Section: Methodologies For Assessing Technology Maturitymentioning

confidence: 99%

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Blockchain Maturity of Ghanaian Financial Institutions and Their Readiness to Adopt Distributed Ledger for KYC Processes

Lempogo

Brown-Acquaye

Agangiba

et al. 2023

International Journal of E-Services and Mobile Applications

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Although information technology has positively influenced operations in the Ghanaian financial sector, there is still a high operational cost in performing KYC procedures due to duplication of efforts during clients' onboarding. The decentralized nature of blockchains makes them ideal for addressing these challenges. In this paper, the blockchain maturity model was used to assess the maturity and readiness of Ghanaian banks to adopt blockchain technology for KYC processes. Using primary data obtained via questionnaires and interviews, the individual components of the blockchain maturity model were assessed. The results indicate that the network, hardware, and software components are at repeatable, defined, and managed stages, respectively, while the people component lags in the initial stage due to a lack of adequate staff training. Finally, security and privacy are at the defined stage, whereas policy and regulations are at the initial stage.

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Section: Methodologies For Assessing Technology Maturitymentioning

confidence: 99%

Section: Methodologies For Assessing Technology Maturitymentioning

confidence: 99%

Blockchain Maturity of Ghanaian Financial Institutions and Their Readiness to Adopt Distributed Ledger for KYC Processes

Lempogo

Brown-Acquaye

Agangiba

et al. 2023

International Journal of E-Services and Mobile Applications

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“…O Modelo de Maturidade (MM) é um roteiro de melhoria para as organizações, onde é possível identificar as atividades-chave para apoiar uma organização a atingir níveis mais elevados de maturidade em seus processos (FREITAS et al, 2020b). Um MM consiste em uma sequência de níveis de maturidade para um conjunto de processos que apresentam um conjunto de melhores práticas relacionadas a uma determinada área (KRÓL; ZDONEK, 2020), permitindo, assim, uma melhor prática ou análise de seu estado de maturidade (LEES, 2016).…”

Section: O Modelo De Maturidade Para Adoção De Learning Analyticsunclassified

Análise do Nível de Maturidade na Adoção de Learning Analytics em Instituições de Ensino Superior Brasileiras

Scheneider

Cechinel

Mello

et al. 2022

Anais Do I Workshop De Aplicações Práticas De Learning Analytics Em Instituições De Ensino No Brasil (WAPLA 2022)

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A adoção de Learning Analytics (LA) em Instituições de Ensino Superior (IES) é considerada uma tarefa desafiadora, por sugerir mudanças na estrutura da IES e abranger atividades em diversos setores do sistema de ensino. Compreender o nível de maturidade dos projetos de LA existentes dentro das IES torna-se fundamental para que as instituições consigam ampliar seus projetos e abranger todos os seus setores. Este trabalho apresenta um estudo exploratório sobre o nível de maturidade da LA nas IES das regiões do sul e sudeste brasileiro de acordo com o modelo de maturidade MMALA. Durante o estudo foi possível notar que as IES possuem níveis de maturidade diferentes para cada área do processo do MMALA.

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Estimation of DC motor parameters using a simple CMOS camera

Kowalczuk

Merta

2017

2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)

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A maturity model for Control and Automation in environmental impact

Cited by 3 publications

References 14 publications

Blockchain Maturity of Ghanaian Financial Institutions and Their Readiness to Adopt Distributed Ledger for KYC Processes

Blockchain Maturity of Ghanaian Financial Institutions and Their Readiness to Adopt Distributed Ledger for KYC Processes

Análise do Nível de Maturidade na Adoção de Learning Analytics em Instituições de Ensino Superior Brasileiras

Estimation of DC motor parameters using a simple CMOS camera

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