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The purpose of Maturity Models (MMs) is to assess, by focusing on skills, the level of performance of organizations, projects, or processes. In the civil construction sector, MMs were investigated with a view to evaluating the integration of sustainability in single/multifamily housebuilding projects. However, these models were found to be insufficient to evaluate projects in a balanced way, which take the three pillars of sustainability into consideration throughout their life cycle. In addition, there was a need to incorporate the evaluation of technical elements, thereby enabling opportunities to be identified for improving technologies, information systems and materials, which would result in maximizing operational efficiency. In this context, this article presents a management tool to evaluate the performance of sustainability in single/multifamily building projects. Using a mixed methods research approach, a systematic literature review was conducted to identify the main sustainable practices adopted in civil construction. Based on this, the Sustainable Building Site Management Maturity Model (SBSM4) was developed, which underwent refinements using a consultation process with six experts, using the Delphi method. It encompasses 4 dimensions, 16 categories and 61 assessment attributes, covering the planning, design, construction, and post-construction stages. An application was carried out in a project that aimed to build 5,000 single-family houses. This tool can perform a complete analysis of the practices adopted, thus providing a deeper understanding of the level of sustainability achieved. The SBSM4 contributes to advancing sustainable management in the civil construction sector and provides a solid basis for decision-making and the continuous improvement of projects toward more sustainable civil construction. [ABSTRACT FROM AUTHOR]

This research work addresses the development and evaluation of a maturity model for artificial intelligence (AI) deployment capability of manufacturing companies. Based on the literature research and 11 maturity models, an industry-specific maturity model is developed. The maturity model contains sequential maturity levels with defined maturity dimensions and 29 indicators. Among the main findings is that the developed model is capable of calculating an AI deployment capability level and fully counterbalance the maturity indicators. [ABSTRACT FROM AUTHOR]

Project management is a field that has been applied in various areas of knowledge, particularly in engineering and software development. For organizations, projects are a central element for generating value. They allow to reach the organizational goal by using specific methodologies, tools and software. One of the most recognized tools, even in other fields of knowledge, for its impact on process improvement is maturity models. These models have already begun to be implemented in project management. Project management maturity models are useful tools to evaluate the management process using a process reference (e.g., PMBOK). This process reference describes the best practices to achieve success in projects. The purpose of this paper is the identification of research papers that present maturity models specifically for project management. A useful classification for project managers using maturity models in a project management context is generated from the results of the review. The proposed classification considers 4 categories: (1) project management, (2) organizational performance of project management, (3) project management for specific areas, and (4) project management process in organizations. Each category classifies the project management maturity models according to their characteristics. [ABSTRACT FROM AUTHOR]

Construction scholars and professionals have recognized the integration of Building Information Modelling (BIM), Integrated Project Delivery (IPD), and Lean Construction (LC) as an effective way to increase collaboration and deliver construction projects. However, construction organizations cannot identify the transitional management steps required to achieve BIM-IPD-LC (BIL) implementation maturity. This paper presents a roadmap, introducing a BIL Maturity Model (MM) through iterative rounds of semi-structured interviews, model validation through a survey, and model implementation. The research defined the maturity characteristics of construction organizations applying BIL across five levels, namely: ad hoc (individual), repeatable (project), defined (organization and project), quantitatively managed (full organization awareness), and optimizing (cross-organization integration) encompassing five major attributes including, 'Customer Focus', 'Culture & People', 'Workplace Standardization', 'Waste Minimization', and 'Continuous improvement' as well as 23 sub-attributes. The proposed integrated BIL MM will attract and assist industry practitioners and relevant stakeholders in identifying their position in BIL implementation maturity. The identified interdependencies between BIM, IPD, and LC will also serve as the basis for future academic studies respecting the collaboration of these three in an integrated manner. [ABSTRACT FROM AUTHOR]

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Abstract Background The benefits of lean adoption in healthcare include improved process efficiency and quality of patient care. However, research indicates that lean implementation in healthcare, and specifically hospitals, is often not sustained. Furthermore, there is a need for maturity models that guide lean implementation, specifically in hospitals. This study develops a prescriptive maturity model named the Sustaining of Lean Adoption in Hospitals Roadmap (SOLAR) that acts as a practical guideline for the sustainable adoption of lean in hospitals. Methods The SOLAR has three theoretical foundations, namely lean implementation success factors in hospitals, implementation science, and change management theory. A systematic literature review was conducted to determine the lean implementation success factors in hospitals as the first building block. Secondly, practices from implementation science were used to create the action items in the SOLAR. Ten change steps were elicited from change management theory as the third theoretical building block of the roadmap. We refined the roadmap through three Delphi rounds that verified its useability in hospitals. Results The final SOLAR consists of four maturity phases (prepare, plan, experiment and learn, and sustain) and includes action items for each phase related to the hospital’s strategy, resources, engaging of people, and culture. The action items and change management steps shown in the SOLAR are not intended as an exhaustive list but provide guidelines on aspects hospitals must consider when they aim to adopt lean sustainably. Conclusions The strong theoretical base of the SOLAR enables hospitals to safely experiment and learn which implementation methods are best suited to their unique environment. The SOLAR is, therefore, an actionable guideline that informs both academics and practitioners involved in lean adoption in hospitals. This roadmap can guide future retrospective longitudinal or action research.

Copyright of Revista Gestão & Tecnologia is the property of Revista Gestao & Tecnologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Maturity models are valuable tools when assessing the readiness and progress of technology incorporation in organizations, providing information for decision-making, resource allocation, and competitive advantage. The Internet of Things is a technology paradigm of global importance, especially for organizations, as it supports productivity improvements, real-time analysis, and customer satisfaction. Therefore, adopting and implementing this technology in enterprises brings several challenges, such as technological, organizational, security, and maturity issues. However, secondary studies that systematically compile the existing literature on these specific mechanisms for the enterprise domain are still being determined. This article aims to address this knowledge gap by conducting a review to deepen and synthesize the existing knowledge. This research followed established methodologies and protocols to synthesize and analyze the state of the art in the area; 489 documents were retrieved from seven bibliographic databases, and, applying inclusion and exclusion criteria, 36 primary studies were selected. The results indicate that the typical structures of maturity models incorporate technological, organizational, human, performance, and security dimensions through graded levels that denote the sophistication of the Internet of Things. Measurement techniques and metrics vary from model to model. There are few empirical validations or standardized improvement frameworks. The main conclusion is that there is a diversity of models, dimensions, indicators, and methods and a need for more comprehensive, adaptable, and user-friendly tools to help companies assess their Internet of Things maturity and inform future development strategies. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Defense Sciences / Savunma Bilmleri Dergisi is the property of Turkish Military Academy Defense Sciences Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, disruptive events pose significant threats to organizations, making resilience a critical focus. Evaluating supply chain resilience is essential to avoid escalating disruptions. However, the literature on this topic is fragmented, and the assessment of resilience remains an open gap due to the lack of a clear definition of the dimensions and elements for its evaluation. To fill this gap, this study integrates a systematic literature review (SLR) and a systematic literature network analysis (SLNA) to propose a MAturity MOdel for REsilient Supply Chains (MaMoReS). Through content analysis and stringent selection of 15 resilience maturity models (ResMMs) via SLR, along with an SLNA on 6,474 sources, this method defines dimensions and sub-dimensions. The proposed MaMoReS is framed around five levels and five dimensions: risk management, agility, flexibility and adaptability, redundancy and robustness, transparency and visibility, and collaboration and relationships. The MaMoReS is applied to two case studies, pinpointing the practicality of the MaMoReS for measuring the resilience maturity level of the two companies along with their dimensions and sub-dimensions scoring. Thus, the MaMoReS can be used as an assessment tool by supply chain managers and researchers to evaluate the resilience of a supply chain. [ABSTRACT FROM AUTHOR]

Background: The benefits of lean adoption in healthcare include improved process efficiency and quality of patient care. However, research indicates that lean implementation in healthcare, and specifically hospitals, is often not sustained. Furthermore, there is a need for maturity models that guide lean implementation, specifically in hospitals. This study develops a prescriptive maturity model named the Sustaining of Lean Adoption in Hospitals Roadmap (SOLAR) that acts as a practical guideline for the sustainable adoption of lean in hospitals. Methods: The SOLAR has three theoretical foundations, namely lean implementation success factors in hospitals, implementation science, and change management theory. A systematic literature review was conducted to determine the lean implementation success factors in hospitals as the first building block. Secondly, practices from implementation science were used to create the action items in the SOLAR. Ten change steps were elicited from change management theory as the third theoretical building block of the roadmap. We refined the roadmap through three Delphi rounds that verified its useability in hospitals. Results: The final SOLAR consists of four maturity phases (prepare, plan, experiment and learn, and sustain) and includes action items for each phase related to the hospital's strategy, resources, engaging of people, and culture. The action items and change management steps shown in the SOLAR are not intended as an exhaustive list but provide guidelines on aspects hospitals must consider when they aim to adopt lean sustainably. Conclusions: The strong theoretical base of the SOLAR enables hospitals to safely experiment and learn which implementation methods are best suited to their unique environment. The SOLAR is, therefore, an actionable guideline that informs both academics and practitioners involved in lean adoption in hospitals. This roadmap can guide future retrospective longitudinal or action research. [ABSTRACT FROM AUTHOR]

Abstract Introduction: Managing clinical trials is a complex process requiring careful integration of human, technology, compliance, and operations for success. We collaborated with experts to develop a multi-axial Clinical Trials Management Ecosystem (CTME) maturity model (MM) to help institutions identify best practices for CTME capabilities. Methods: A working group of research informaticists was established. An online session on maturity models was hosted, followed by a review of the candidate domain axes and finalization of the axes. Next, maturity level attributes were defined for min/max levels (level 1 and level 5) for each axis of the CTME MM, followed by the intermediate levels. A REDCap survey comprising the model’s statements was then created, and a subset of working group members tested the model by completing it at their respective institutions. The finalized survey was distributed to all working group members. Results: We developed a CTME MM comprising five maturity levels across 11 axes: study management, regulatory and audit management, financial management, investigational product management, subject identification and recruitment, subject management, data, reporting analytics & dashboard, system integration and interfaces, staff training & personnel management, and organizational maturity and culture. Informaticists at 22 Clinical and Translational Science Award hubs and one other organization self-assessed their institutional CTME maturity. Respondents reported relatively high maturity for study management and investigational product management. The reporting analytics & dashboard axis was the least mature. Conclusion: The CTME MM provides a framework to research organizations to evaluate their current clinical trials management maturity across 11 axes and identify areas for future growth.

Copyright of Journal of Economic Research & Business Administration is the property of Al-Farabi Kazakh National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In an effort to improve the security, dependability, and quality of infrastructure systems, the implementation of complex transportation construction and maintenance projects is essential. Building upon a previous study that identified six crucial factors for effectively implementing new and emerging technologies in the State Department of Transportations (DOTs), this research aims to comprehensively explore six critical factors using a maturity model perspective. DOTs have shown increasing interest in adopting emerging and wireless technologies, as evident in various Federal Highway Administration Every Day Counts initiative. This study employs a mixed-methods approach, using survey responses from DOT personnel to evaluate the relative significance of technology implementation factors and subfactors. The six factors for successful technology implementation explored in this study are Organization Structure, Information Technology Infrastructure, Data Security, Information Workflow, Personnel Training, and Stakeholder Engagement. The study also evaluates the relative importance of People, Process, and Technology for each of these six factors. The paper focuses on providing detailed insights into the different criteria of each technology implementation factor and subfactor to guide agencies in successful technology deployment. Understanding these factors is critical to deploying emerging technologies successfully, which, in turn, leads to much-needed efficiency and productivity in highway construction and asset management. The findings of this study can help DOTs prioritize their technology investments and ultimately contribute to the development of a more advanced and sustainable transportation infrastructure system. [ABSTRACT FROM AUTHOR]

The need for digital transformation is constant and understanding the mechanisms that aid organizations in achieving successful transformations is crucial. This study combines the dynamic capabilities theory with the perspective of digital maturity by answering the question, "What are the capabilities underlying the ability to become a digitally mature organization?" A systematic review of studies that investigated digital transformation from a maturity perspective was conducted and the findings were consolidated into a conceptual framework structured according to the dynamic capabilities lens. The framework was then compared to insights from case studies of four digitally mature organizations using the flexible pattern-matching approach. As a result, a framework of digital transformation dynamic capability was proposed, consisting of five thematic areas of action: designing and managing transformation, fostering digital value propositions, acting in digital business ecosystems, systematizing structural changes, and supporters and enablers. The main implication of this study is the original approach for consolidating and organizing previous literature on digital transformation that can guide organizations to articulate and develop specific processes and resources to mature digitally, leading to a capacity for continuous change in the perpetually evolving digital landscape. There are also implications for theory building, as the proposed framework can serve as an agenda for future research on dynamic capabilities for digital transformation. [ABSTRACT FROM AUTHOR]

This research provides a comprehensive analysis of the state of readiness assessment for enterprises in the context of Industry 4.0. It examines the most influential authors, countries, and journals in this field, identifies key research themes, and explores the evolving landscape of Industry 4.0. By bibliometric analysis, this study uncovers the intricate network of co-authorship and co-citation among researchers, journals, and countries. The analysis underscores the dominance of China in terms of both publication volume and citation impact, driven by its strategic "Made in China 2025" plan. The United States and India also make substantial contributions, reflecting the global nature of Industry 4.0 research. The key themes in this area include digital transformation, IT innovations, production, and supply chain management. This study pinpoints three distinct clusters of journals, demonstrating the multidisciplinary nature of Industry 4.0. In addition, a co-occurrence analysis of keywords highlights the most prevalent themes, including Industry 4.0, frameworks, big data, and performance. This research offers valuable insights into the research landscape, informing scholars and industry stakeholders of key players, trends, and emerging areas in assessing enterprise readiness for Industry 4.0. [ABSTRACT FROM AUTHOR]

Featured Application: A robust Systematic Literature Review (SLR) of assessment instruments (maturity models, roadmaps, frameworks, and readiness assessments) to assess the level at which Industry 4.0 is deployed in an organization. The research provides a comprehensive perspective of readiness assessment instruments for Industry 4.0 digital transformation and sets the foundations for future action plans and projects. Nowadays, different Industry 4.0 technologies have been implemented into diverse industries. However, these implementations are not standardized across similar industries and countries. Consequently, companies are actively looking for assessment instruments—maturity models, roadmaps, frameworks, readiness assessments—to assist in their digital transformation, to determine their Industry 4.0 level, and to identify technologies and strategies that should be implemented in specific areas, thus developing a feasible implementation plan. A review is conducted following the PRISMA (Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses) methodology to analyze the different research works on assessment instruments focused on Industry 4.0. A total of 538 articles, book chapters, conference proceedings, editorial material, reviews, and reports written in the English language were retrieved. Of these, 132 research papers were examined using a mixed analysis format to generate bibliometrics, and 36 articles were then deeply studied for a complete meta-analysis. The findings and insights of this meta-analysis led to a compilation and summary of dimensions, outcomes, enablers, and key components typically involved in Industry 4.0, which are comprehensively integrated to present the best practices for assessing Industry 4.0 and deploying a digital transformation that can impact productivity, flexibility, sustainability, quality, costs, and time. [ABSTRACT FROM AUTHOR]

Nowadays, disruptive events pose significant threats to organizations, making resilience a critical focus. Evaluating supply chain resilience is essential to avoid escalating disruptions. However, the literature on this topic is fragmented, and the assessment of resilience remains an open gap due to the lack of a clear definition of the dimensions and elements for its evaluation. To fill this gap, this study integrates a systematic literature review (SLR) and a systematic literature network analysis (SLNA) to propose a MAturity MOdel for REsilient Supply Chains (MaMoReS). Through content analysis and stringent selection of 15 resilience maturity models (ResMMs) via SLR, along with an SLNA on 6,474 sources, this method defines dimensions and sub-dimensions. The proposed MaMoReS is framed around five levels and five dimensions: risk management, agility, flexibility and adaptability, redundancy and robustness, transparency and visibility, and collaboration and relationships. The MaMoReS is applied to two case studies, pinpointing the practicality of the MaMoReS for measuring the resilience maturity level of the two companies along with their dimensions and sub-dimensions scoring. Thus, the MaMoReS can be used as an assessment tool by supply chain managers and researchers to evaluate the resilience of a supply chain.

Maturity models are valuable tools when assessing the readiness and progress of technology incorporation in organizations, providing information for decision-making, resource allocation, and competitive advantage. The Internet of Things is a technology paradigm of global importance, especially for organizations, as it supports productivity improvements, real-time analysis, and customer satisfaction. Therefore, adopting and implementing this technology in enterprises brings several challenges, such as technological, organizational, security, and maturity issues. However, secondary studies that systematically compile the existing literature on these specific mechanisms for the enterprise domain are still being determined. This article aims to address this knowledge gap by conducting a review to deepen and synthesize the existing knowledge. This research followed established methodologies and protocols to synthesize and analyze the state of the art in the area; 489 documents were retrieved from seven bibliographic databases, and, applying inclusion and exclusion criteria, 36 primary studies were selected. The results indicate that the typical structures of maturity models incorporate technological, organizational, human, performance, and security dimensions through graded levels that denote the sophistication of the Internet of Things. Measurement techniques and metrics vary from model to model. There are few empirical validations or standardized improvement frameworks. The main conclusion is that there is a diversity of models, dimensions, indicators, and methods and a need for more comprehensive, adaptable, and user-friendly tools to help companies assess their Internet of Things maturity and inform future development strategies.

In an effort to improve the security, dependability, and quality of infrastructure systems, the implementation of complex transportation construction and maintenance projects is essential. Building upon a previous study that identified six crucial factors for effectively implementing new and emerging technologies in the State Department of Transportations (DOTs), this research aims to comprehensively explore six critical factors using a maturity model perspective. DOTs have shown increasing interest in adopting emerging and wireless technologies, as evident in various Federal Highway Administration Every Day Counts initiative. This study employs a mixed-methods approach, using survey responses from DOT personnel to evaluate the relative significance of technology implementation factors and subfactors. The six factors for successful technology implementation explored in this study are Organization Structure, Information Technology Infrastructure, Data Security, Information Workflow, Personnel Training, and Stakeholder Engagement. The study also evaluates the relative importance of People, Process, and Technology for each of these six factors. The paper focuses on providing detailed insights into the different criteria of each technology implementation factor and subfactor to guide agencies in successful technology deployment. Understanding these factors is critical to deploying emerging technologies successfully, which, in turn, leads to much-needed efficiency and productivity in highway construction and asset management. The findings of this study can help DOTs prioritize their technology investments and ultimately contribute to the development of a more advanced and sustainable transportation infrastructure system.

This article explores the current state and challenges of precision oncology, specifically focusing on the maturity of the field as a learning health system. The study conducted interviews with professionals involved in Molecular Tumor Boards to gather insights on the practice, tools, and barriers of precision oncology. The findings suggest that while the field is evolving, there are still obstacles such as resource-intensive infrastructure and knowledge gaps. The article also discusses the role of academic medical centers and industry in precision oncology, as well as the need for education, accessibility, and privacy considerations. Overall, the study emphasizes the importance of learning from patient experiences and developing maturity models to advance precision oncology. [Extracted from the article]

This article proposes a risk management maturity model focused on the public sector and developed for Brazilian public organisations, the PRisk-MM. The PRisk-MM contains 5 levels of maturity and 23 maturity attributes related to 15 dimensions. The model was elaborated following the scientific rigour found in the literature on maturity models, being divided into 2 main phases: the development of the model and its validation in 5 public organisations of 2 state governments. The development of the PRisk-MM is based on a previous study conducted by De Lorena and Costa, who proposed a reference model with attributes and key contingent factors for public organisations using data collected in the federal and state governments of Brazil. The assessment procedure of the model uses triangular fuzzy numbers to better treat the subjectivity and ambiguity of human judgement when analysing maturity dimensions and their attributes. Moreover, the PRisk-MM is adaptive to governments' contexts and, once applied, presents prescriptions on what organisations must do to develop their risk management implementation. Since the Prisk-MM demonstrates practical implications as a government tool, policymakers are expected to use it to assess the public organisations' status of maturity and compare their performance in implementing RM. [ABSTRACT FROM AUTHOR]

In the recent decade, there has been a significant increase in the number of maturity models offered in Building Information Modelling (BIM). However, several problems exist, such as no proper criteria for model choice for organisations and no adequate understanding of BIM maturity model (BIMMM) application areas. Thus, a systematic literature review (SLR) was undertaken using 32 papers published between 2010 and 2021, directed with a descriptive and content analysis, following the PRISMA standards. The results of this paper extend the knowledge on BIMMM development, application and validation. BIMMM development has always been initiated with a literature review on existing maturity models. National BIM Standard's Interactive Capability Maturity Model is the most dominant base for developing and applying BIMMMs. However, the literature lacks applications and validation of mainstream models. The application of BIMMMs is mainly focused on assessing BIM performance, while a few studies tried to explore new avenues such as applying BIMMMs to other contexts, finding the relationship between maturity level and other factors, and understanding the impact of BIM maturity level on factors like project performance. Despite interviews and case studies being popular methods of model validation, doubts on the validity of the models have been raised due to the dearth of information on how most of the models were validated. The results of the study lead future research in the BIMMMs and inform the development and application of valid BIMMMs in practice. [ABSTRACT FROM AUTHOR]

Higher education institutions (HEIs) are complex and dynamic organizations in terms of information management, forcing their information systems to respond to enormous challenges and threats. In order to evaluate the HEIs' information systems, we propose the development of a maturity model capable of supporting the role of HEI's managers, as well as accreditation agencies, in the assessment of the maturity of these systems, thus, promoting continuous improvement. In this paper, we present and discuss our proposal for an architecture of the maturity model being developed. This one is based on a two-dimensional architecture composed of vertical and horizontal dimensions. We selected a multi-case study approach, based on five Portuguese HEIs, and reviewed the literature to identify the dimensions. This case study was supported by interviews with experts from the selected HEI. The results of this research work were both encouraging and promising amongst the interviewed experts, revealing a high level of acceptance of the general model architecture, as well as positive expectations about its usefulness in the future. The development of our maturity model is carried out by following a formal methodology specially designed to support the construction of this type of model. [ABSTRACT FROM AUTHOR]

Abstract Introduction: This study aimed to map the maturity of precision oncology as an example of a Learning Health System by understanding the current state of practice, tools and informatics, and barriers and facilitators of maturity. Methods: We conducted semi-structured interviews with 34 professionals (e.g., clinicians, pathologists, and program managers) involved in Molecular Tumor Boards (MTBs). Interviewees were recruited through outreach at 3 large academic medical centers (AMCs) (n = 16) and a Next Generation Sequencing (NGS) company (n = 18). Interviewees were asked about their roles and relationships with MTBs, processes and tools used, and institutional practices. The interviews were then coded and analyzed to understand the variation in maturity across the evolving field of precision oncology. Results: The findings provide insight into the present level of maturity in the precision oncology field, including the state of tooling and informatics within the same domain, the effects of the critical environment on overall maturity, and prospective approaches to enhance maturity of the field. We found that maturity is relatively low, but continuing to evolve, across these dimensions due to the resource-intensive and complex sociotechnical infrastructure required to advance maturity of the field and to fully close learning loops. Conclusion: Our findings advance the field by defining and contextualizing the current state of maturity and potential future strategies for advancing precision oncology, providing a framework to examine how learning health systems mature, and furthering the development of maturity models with new evidence.

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Assessing the digital maturity of companies is essential to prepare for digital transformation in the context of Industry 4.0. Several digital maturity assessment models have emerged in the past few years to support this evaluation. One obstacle for companies is the impossibility of easily comparing themselves to one another quantitatively or qualitatively. This paper introduces a new way to compare digital maturity models through a quantitative framework that is compatible with a wide variety of models. Comparisons are performed in the space of the keywords used to characterize key performance indicators (KPIs) that are reverse engineered from the models. The matches are encoded in a keyword matrix that is used to automatically compute the match level of KPI pairs. The framework has been validated on 13 state-of-the-art maturity models whose analysis resulted in the identification of 451 KPIs characterized using 263 keywords structured according to 12 dimensions and 58 subdimensions. [ABSTRACT FROM AUTHOR]