Need for a framework for the assessment, evaluation and measurement of System Maturity, System Readiness and Capability Readiness

Tetlay, Abideen

doi:10.1109/syscon.2011.5929078

Cited by 3 publications

(5 citation statements)

References 10 publications

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“…Measures are intended to provide objective information throughout the project useful to identify and correct errors. The use of metrics can aid in verifying and assessing the effectiveness of a project (Tetlay and John 2010). The measurements should contribute to sound project decisions while tracking the project's objectives (Griffin and Page 1996).…”

Section: Configuration Managementmentioning

confidence: 99%

Coping with Verification in Complex Engineered Product Development

Skreddernes,

Haugen,

Haskins

2023

INCOSE International Symp

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Coping with system verification in complex systems is a challenging task. This paper reports on how the high complexity of closely integrated systems and long timelines in development affects the verification process in an engineering company in Norway. The literature on verification in development and a survey within the industry‐as‐laboratory method were used to research the practice of verification in the case company to identify where the company's practice deviates from the recommended practice according to the literature. The research found that the company is taking shortcuts in its documented processes resulting in integration testing late in the development. The authors propose the use of metrics to monitor the progress of the system of interest and the project. In conclusion, continuously tracking and improving the work process is recommended to cope with the complexity of developing the company products.

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Section: Configuration Managementmentioning

confidence: 99%

Coping with Verification in Complex Engineered Product Development

Skreddernes,

Haugen,

Haskins

2023

INCOSE International Symp

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“…Therefore, the concept of readiness is context-dependent. To achieve readiness, the AI system must be validated against user requirements (Tetlay et al, 2009). In their work, (Jöhnk et al, 2021) follow this approach and are able to clearly differentiate the concept of readiness.…”

Section: Geographical Scopementioning

confidence: 99%

“…In (Saari et al, 2019), readiness appears to assess maturity, in turn determining readiness itself. Based on this statement, it could be inferred that the concept of "maturity" is embedded within the concept of "readiness" (Tetlay et al, 2009). In contrast, according to ( Ellefsen et al, 2019), the assessment of readiness takes place before the actual development process to examine whether the prerequisites for the maturity process are met.…”

Section: Geographical Scopementioning

confidence: 99%

“…On the other hand, the maturity assessment occurs during the maturity process to capture the current state of development and evaluate progress. According to (Tetlay et al, 2009), maturity involves the evaluation within an iterative process and occurs before readiness. This implies that the system must first be fully "mature" before it can be considered "ready" for deployment.…”

Section: Geographical Scopementioning

confidence: 99%

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Maturity Models for the Use of Artificial Intelligence in Enterprises: A Literature Review

Reichl,

Gruenbichler

2023

19th International Scientific Conference on Industrial Systems

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Artificial intelligence is a promising technology for companies to leverage optimization potential and remain competitive. Nevertheless, studies show that only a few companies use this technology. Maturity models can contribute to self-assessment and help to implement this technology. In this paper, capability, readiness and maturity models are presented based on a literature review and a qualitative analysis. Overall, the results show that the models can serve as a tool to assess and improve AI readiness and maturity. However, in order to fully exploit their potential from a user perspective, it is essential to further develop these models specifically for AI domains, ensure transparency in their design, draw clear conceptual boundaries and incorporate user-friendly assessment mechanisms. Furthermore, recommendations for action are made on the basis of this information.

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“…These two terms refer to the ability of a firm to apply a concept or technology in a complete, perfect, or ready state [5]. Tetlay and John [6] state that maturity is part of readiness.…”

Section: Introductionmentioning

confidence: 99%

A Review on Industrial Revolution 4.0 (IR4.0) Readiness Among Industry Players

Saleh¹,

Ijab²,

Hashim³

2022

Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

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The Fourth Industrial Revolution (IR4.0) is a digital revolution that not only focuses on the manufacturing industry, but also involves all sectors including the service industry. The readiness of the industry players and their implementations of these technologies will be able to boost productivity growth through creating, adopting, and integrating technological solutions into the workforce and industries. A review of the literature reveals that industry readiness for IR4.0 particularly in Malaysia is still at a low to medium level. The objective of this paper is to review the understanding of IR4.0 readiness models discussed in the literature, the factors driving and inhibiting IR4.0 readiness, and the use of a evaluation tools for industry players to assess their IR4.0 readiness level. The study found that readiness models are commonly discussed and framed around several theories and their theoretical constructs such as Acceptance Theory, Information System (IS) Success Models, and relevant readiness and maturity theories. There are a few factors either driving or inhibiting IR4.0 readiness and these factors are funding, infrastructure, regulatory, skills and competency, technology, and commitment from the leadership. Based on the synthesized literature, this paper proposes the IR4.0 Readiness and Implementation Framework for industry. The framework aims to guide industry players to take a stage approach in implementing IR4.0 and move up their IR4.0 readiness levels progressively.

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Need for a framework for the assessment, evaluation and measurement of System Maturity, System Readiness and Capability Readiness

Cited by 3 publications

References 10 publications

Coping with Verification in Complex Engineered Product Development

Coping with Verification in Complex Engineered Product Development

Maturity Models for the Use of Artificial Intelligence in Enterprises: A Literature Review

A Review on Industrial Revolution 4.0 (IR4.0) Readiness Among Industry Players

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