Development Of Maturity Model Research Articles

A Comparative Analysis of Digital Maturity Models to Determine Future Steps in the Way of Digital Transformation

Adapting to the ever-increasing digital business dynamics by leveraging digital technologies to improve operations is one of the key goals for almost any modern business. In this process of change, businesses need to update their ways of doing business and design new models, to avoid falling behind in competition with their rivals. Digital maturity models play a crucial role in guiding organizations in their approach to digital transformation, outlining the typical ways in which these transformations are accomplished. In this study, the development of digital maturity models, which are becoming more important day by day in today's business world conditions, is examined. Within the scope of the study, 42 maturity models were examined, criteria-based comparisons of the models were made, and priority areas and trends were analyzed. Thus, it is aimed to better understand the development of digital maturity models and to guide future studies by determining current model trends.

A Configurational Approach to Maturity Model Development – Using fsQCA to Build a Multiple-Pathway Maturity Model

Maturity models can be used as tools to depict the developmental trajectories of entity classes in domains and evaluate the relative position of an entity within this framework. However, their development process has been the focus of researchers and practitioners ever since, resulting in different procedures, development approaches, and conceptual models. Thus, a major criticism of maturity models is the often missing conceptual and theoretical grounding when it comes to the interpretation of the concept of maturity. To address this shortcoming, our research approach focuses on the rigorous development of a multiple-pathway maturity model. By following a sequential, theoretically grounded process, the resulting maturity model can be viewed as an instantiation of the predefined conceptual components and characteristics in a predefined domain. We present and discuss the instantiated sector and size-specific maturity model for innovation capability in small industrial firms, which is developed by applying configurational methods on a dataset and thereby offers multiple pathways to maturity. This concept of equifinality is central to our approach. It has rarely been considered in maturity model development research, although it offers the potential to build more realistic models with greater applicability, especially in domains with many interdependencies.

Development of a theoretical marketing technology maturity model

Development of a theoretical marketing technology maturity model

Advancing maturity modeling for precision oncology.

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. 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. 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. 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.

Towards Defining a Trustworthy Artificial Intelligence System Development Maturity Model

ABSTRACT The trustworthiness of artificial intelligence (AI) has been challenged for quite some time. The AI results will be trustworthy and reliable if trust-related principles are built into the AI system along with effective AI governance and monitoring. Therefore, this study seeks to define a trustworthy AI system development maturity model to assist firms in understanding where they stand in terms of developing a trustworthy AI platform. Since trust is time-bound, it is difficult to regain once lost, and this maturity model helps to establish robust controls and governance mechanisms in AI systems from their inception to minimize risk and establish trust. Hence, this study starts by defining the trustworthy enhancing techniques (TET) to build a trustworthy AI system, then advances on to the Trustworthy AI system maturity model (TAS-MM). The study’s findings include a maturity model with four stages of trustworthy AI system growth and maturity progression.

Statistical Predictors of Project Management Maturity

Global scenarios of organizations show investments wasted in projects with poor performances in more than 11 percent of cases, according to the Project Management Institute. This research aims to guide organizations in assertively investing in the right pertinent factors to improve project success rates and speed up project management maturity at a higher accuracy level using statistical predictions. Challenging existing drivers for project management maturity models and expanding their current practical view will be the result of a quantitative methodology based on a survey supported by data collection targeting the project management community in Brazil. The originality and value of this research are in contributing to the development of new project maturity models statistically supported by the increasing rate of maturity accuracy, which can be continually improved by confident data input into the model. The results show a high correlation between the performance measurement system and the project success rate associated with project management maturity. In addition, this research contemplates the relationship between organizational culture, business type, and project management office and project management maturity.

An Employee Competency Development Maturity Model for Industry 4.0 Adoption

Industry 4.0 (I4.0) is challenging for organizations, as workers lack digital competencies, and research on new roles is limited. Additionally, existing models for its adoption focus on technology incorporation, process improvement, and organizational transformation. Therefore, the opportunity exists for designing a new model that emphasizes developing employees’ competencies. A systematic literature review was conducted regarding existing models for I4.0 adoption and the desired worker competencies. After examining the gap in the current models and the categorization of their main elements, a new maturity model (MM) for I4.0 adoption, based on the development of employees’ competencies, is proposed. The MM helps practitioners and researchers assess an organization’s I4.0 adoption level in order to improve future actions. A validation process for the MM was implemented through the Delphi method. Additionally, a roadmap to guide workforce development is presented, which considers the digital challenges face by employees in advancing a strategic I4.0 adoption. The proposed roadmap allows for depicting new deployment strategies aligned with digital trends and employees’ commitments to sustaining the implementation efforts. This research recognizes talent, organizational culture, and communication plans as key elements for defining actions for developing the skills and competencies required for embracing the I4.0 enabling technologies.

Design features of digital transformation maturity models: a systematic literature analysis and future research directions

PurposeThis study aims to analyze and synthesize the design features of existing digital transformation maturity models with a developed classification scheme and propose a generic maturity model development wireframe based on design science research.Design/methodology/approachA systematic literature review is conducted on digital transformation maturity models in peer-reviewed journals, including the Emerald Insight, Science Direct, Scopus, Taylor & Francis and Web of Science databases, which resulted in 21 studies. A concept-centric tabular approach is used to analyze the studies, and intersectional demonstrations are used to synthesize the findings regarding the design features.FindingsThe classification scheme derived from the tabular concept-centric approach and iteratively evolved results in three main and 25 subcategories related to the design features. Analysis and synthesis of the studies reveal the granularity of the existing digital transformation maturity models concerning the design features. Furthermore, considering the design features in the classification scheme, a generic maturity model development wireframe is proposed to guide the researchers.Research limitations/implicationsThe generic maturity model development wireframe and the classification scheme that represents the design features of existing maturity models guide the researchers for the maturity model development roadmap.Originality/valueThe existing literature review studies do not focus on the design feature of digital transformation maturity models within a systematic literature review perspective. A unique classification scheme derived from the tabular concept-centric approach aims to analyze the granularity level of the existing models. Furthermore, the generic maturity model development wireframe includes the guidelines and recommendations of design science studies and presents a roadmap for maturity model researchers.

Towards Delphi Rigor: An Investigation in the Context of Maturity Model Development

The maturity model (MM) and Delphi research areas are extensive and diverse, leading to numerous approaches. This study addresses the Delphi method regarding its rigor requirements within the IS literature. To this end, the example of maturity model development is investigated. Hence, Delphi studies for MM development are identified and analyzed regarding their rigorous application and design. The examination focuses on the connections between maturity model aspects and the Delphi methodology. Hence, relevant aspects of maturity model and Delphi literature are elaborated, and criteria for methodological rigor are derived. A key challenge is linking the method to the specific design objective (in this study example, the development of a maturity model). After conducting a literature search to identify studies that use the Delphi method for MM development, these criteria are used as a basis for deductive content analysis. The results indicate a lack of clarity regarding the methodology, as different aspects are reported, although the general demands, starting points, and goals were similar. A need for design guidelines for planning and conducting Delphi studies is emphasized and addressed in this paper. Hence, guidelines for designing Delphi studies are developed and presented, considering relevant aspects for ensuring rigorous implementation. The focus lies on the linkage between study design and intended model elements, as this demonstrates the complexity of the study design and the relevance of the design decisions through an example. The guidelines integrate the different methodological aspects of maturity model development and the Delphi methodology, providing an orientation framework for the design process of such research projects. Therefore, this study contributes to existing research by proposing design guidelines for Delphi studies to foster rigor in the specific context of maturity model development. Although the presented guidelines focus on the maturity model context, the general design approach and decisions are transferable and applicable to other domains. Hence, this research contributes to the Delphi literature by providing insights into how relevant elements should be addressed in the designing process of a Delphi Study. Scholars should investigate how the presented guidelines must be adapted for other domains in future research.

Development and application of patent management maturity model: a capability-based perspective

Development and application of patent management maturity model: a capability-based perspective

A bibliometric analysis on safety culture maturity model

The effectiveness of the occupational health and safety management system came under criticism for its inability to reduce work accidents effectively. Consequently, a new approach, the safety culture approach, emerged. One noteworthy development in safety culture research is the safety culture maturity model. This study briefly overviews recent progress in the safety culture maturity model. To assess the model's current status and development trends, a bibliometric analysis approach was employed, utilizing journal articles listed in Scopus and Pubmed.The maturity model for safety culture is an evolving area of research, primarily focused on the construction sector but progressively extending to diverse industrial domains beyond high-risk companies. The predominant research involves the development of maturity models, with only a limited portion dedicated to assessing the model's validity and reliability, exploring connections between maturity measurements, safety performance, and overall organizational effectiveness. The multitude of safety culture definitions influences the use of diverse dimensions in assessing work culture. Typically, a five-level maturity scale with various labels is employed in these studies.

Development of the Online Teaching Maturity Model in Open Education

To improve the teaching quality provided by open education in China, this study developed a maturity model addressing the five perspectives of open education: teaching environment, teaching context, teaching resources, teachers and learners method. Afterwards, we examined the scientific validity of the model by evaluating the maturity of online teaching of Beijing Open University through survey data collection. Our evaluation indicates that the overall maturity of Beijing Open University remains at a basic level. From a theoretical perspective, the present study enriches the research on online teaching quality in the field of open education and provides new research ideas for the comprehensive evaluation of the online teaching quality of open university. The research conclusions have certain practical reference value for the improvement of online teaching quality in open education.

Framing a maturity model for business model innovation

Purpose: The aim of this conceptual study is bridging established theory on maturity models and business model innovation. The paper identifies boundary conditions and necessary steps for the design of an integrated maturity model for business model innovation. This contribution establishes a foundation that enables the assessment through selection of improvement measures and benchmarking.
 Design/methodology/approach: The paper systematically assesses the extant literature to establish ontological consistency in the bridging attempt and defines the boundary conditions and specific steps for subsequent model development.
 Findings: Prior published research only to a limited degree relates maturity model to business model innovation. Our assessment of extant literature reveals how innovation maturity models exhibit an extensive variety with regard to their application domain, number, and descriptors of dimensions, level of granularity, the design process, as well as empirical validation and the consideration of business model aspects. Based on these insights, the focus, scope, and steps towards a maturity model for business model innovation were defined.
 Originality/value: The results of the research provide an important foundation for further research and development steps towards a maturity model for business model innovation. Furthermore, the detailed analysis of innovation maturity models has potential to be used as a basis for the development of other maturity models in the innovation domain and as a blueprint for analyzing future maturity models in detail.

Digital transformation maturity model development framework based on design science: case studies in manufacturing industry

PurposeThis study aims to propose a novel maturity model development framework based on design science theory utilizing qualitative and quantitative methods for empirical evidence and develops a descriptive digital transformation maturity model by using the proposed framework.Design/methodology/approachDesign science theory is deeply explored and extended to propose a novel maturity model development approach, including robust and rigorous validation processes. Thus, three consecutive discussion sessions and evaluations with experts are carried out iteratively to evolve and saturate the efficiency and utility of the maturity model, and consensus among experts at each session is validated by the intra-class correlation (ICC) coefficient. Furthermore, the Wilcoxon signed rank test is utilized to test whether there is a difference between consecutive sessions. Finally, prototype testing as a pilot study and two case studies in the manufacturing industry are carried out to validate the applicability of the developed maturity model.FindingsA 3-phase maturity model development framework that includes the activities and outcomes in each phase emerge based on the design science theory. The comparative literature analysis and discussion sessions resulted in six dimensions, ten sub-dimensions, 39-capability items that circumscribe the digital transformation concept and five maturity levels that demonstrate conceptual consistency and a measurement tool for self-assessment. In addition, prototype testing and case studies show that the developed maturity model can measure the company's maturity level. Finally, it is proven that the digital transformation maturity model is developed by following the proposed maturity model development framework.Practical implicationsThe maturity model draws a framework for practitioners that facilitate an initial roadmap and enhance the adoption rate, and it motivates the practitioners for frequent and efficient assessments, thus helping the continuous improvement of the digital transformation journey.Originality/valueThe originality of this paper lies in proposing a novel maturity model development framework based on design science and presents the activities and validation methods for this purpose. Furthermore, a comprehensive and rigorously validated digital transformation maturity model is developed based on the proposed framework.

A Critical Review of Maturity Model Development in the Digitisation Era

Maturity models assess the prevailing capability level and proffer the necessary capabilities for effective adoption in a systematic roadmap. This is considered essential to achieve diffusion of the emerging technologies. The paper provides a guide to maturity model development in the digitisation era. This study adopted scientometrics and meta-synthesis to critically review and provide guidance on maturity model development. Firstly, bibliographic data was collected from the Scopus database and analysed using Scientometrics. Secondly, developed BIM maturity models were critically reviewed. The study identified areas of maturity model deployment and the industries of deployment. It also identified the present areas of deployment of maturity models. The second aspect critically reviewed selected BIM maturity models through stated parameters and outlined the necessary criteria for maturity model development. Maturity model is widely adopted to achieve optimisation and proper assessment in various industries. The study identified the industries where it is deployed and identified the areas of maturity model deployment in the digitisation era. In addition, it was observed that some existing BIM maturity models do not conform to the various requirements expected of a maturity model. The study is unique in the methods adopted to achieve its results. Also, it identified the areas of maturity model deployment. The study is helpful as it provides the criteria for maturity model development hereafter, while also helping BIM users choose among the existing BIM maturity models. The study is crucial for proper maturity model development in the digitisation era.

Developing and demonstrating a maturity model for smart ports

ABSTRACT Increasing congestion and the push for (i) a greener modal shift, (ii) more reliability and visibility of goods, and (iii) more sustainable activities in and related to the port are turning policymakers to the concept of the smart port. Such emerging concept describes a future state of the port that is adapted to these challenges. A smart port is a port that optimizes in-, intra- and outbound flow of goods and information, leads sustainable development and guarantees safe, resilient and secure activities through the capabilities of its (extended) port community and enabling technologies. However, turning a traditional port into a smart port is a strategic challenge for the port community at large. To contribute to this practically relevant and academic challenge, the present paper applies a literature review and the novel maturity model development methodology to develop a strategic tool. This newly-developed strategic tool (i) enhances the common understanding of the current and aspired maturity state, (ii) support decision-making of port policy and management actors and (iii) represent a maturation path for improvement for port communities. The case study results demonstrate the benefits and relevance of the tool. Finally, recommendations are made to apply this policy tool for digitalization strategy.

The compatibility of existing BIM maturity models with lean construction and integrated project delivery

Building Information Modeling (BIM), Integrated Project Delivery (IPD), and Lean Construction (LC) are individually gaining increasing penetration in the Architecture, Engineering, and Construction (AEC) industry. Existing maturity models for each of these areas allow organisations to assess their current capability and guide their future pathways to increasing competence. There are significant mutual dependencies among these approaches; hence it would be useful for organisations to understand how to apply them to maximise the benefits across all three initiatives. An integrated BIM-IPD-LC (BIL) maturity model (MM) would break the silos among the initiatives by supporting this synergy. However, there is no comprehensive study on integrated organisational BIL maturity model design and development. This article presents the analysis of BIM maturity models as the starting point of research toward BIL MM development. BIM MMs are more widely cited and used within the construction industry compared to MMs for LC and IPD. This study uses the compatibility of BIM with IPD and LC in the context of MMs to identify how these three concepts can be synchronised. Comparative analysis is conducted using ten accessible, free, research-based, and frequently cited BIM MMs.They were then compared with a number of existing LC and IPD MMs. The results show that VDC Scorecard and BIM2FR are the most compatible BIM MMs with LC, and both the BIM Maturity Matrix and the VDC Scorecard closely correlate with the IPD characteristics compared with other BIM MMs. The findings of this study can be used as a basis for establishing the structure of a future integrated BIL maturity model.

Requirement-driven evolution and strategy-enabled service design for new customized quick-response product order fulfillment process

• A novel design method based on the Kano model and TRIZ evolution trends is proposed. • Customized order fulfillment requirements in terms of laptop production are investigated and analysed. • Three design strategies namely, precise diffraction, regenerative chain, and flexible accommodation strategies are generated by the Kano-TRIZ design model. • These strategies are applied to the design of “Customized product order fulfillment System.” Under the digital transformation era, technologies such as Cyber-physical systems, the Internet of things, and Artificial Intelligence are increasingly mature, making it possible to transform from traditional factories to smart factories. During the transformation, building a communication channel between customer requirements and production capacity to realize customized order services with low volume and high-mix production is critical. This study proposes a novel requirement-driven and strategy-based model to achieve the quick response order placement and production configuration services through three phases, that is, (1) requirement-based service diagnosis, (2) design strategy generation, and (3) service system conceptualization and evaluation. Firstly, a statistical kano analysis method was proposed to mining customer requirements considering industry contexts. Then, TRIZ evolution trends were modified to design concepts for digital transformation based on key enterprise processes. Finally, a novel service development maturity model was constructed to evaluate the new digital system design. A comprehensive empirical case study of designing “Customized Product Order Fulfillment System” for the laptop production process is conducted to demonstrate this approach. The proposed novel requirement-driven and strategy-based model is expected to provide valuable insights for suggestions on technological trends and forecasting, future diverse and innovative applications in customized order fulfillment scenarios.

Maturity Model for IoT Adoption in Hospitals

Hospitals are facing a wide variety of challenges in terms of quality and efficiency of healthcare. Internet of Things (IoT) is a technology used by organisations to increase efficiency and quality by recording measurements for historic analysis. The data thus produced can then go on to inform future decisions and predictions. Unfortunately, the benefits provided for by a successful IoT adoption are currently out of reach for many hospitals. The lack of a maturity model for IoT adoption in hospitals aggravates this situation. The goal of defining and applying such a model is to assist hospitals in reaching a higher level of IoT maturity and thereby improving the quality of services delivered. This paper develops an IoT maturity model that is tailored to the healthcare industry with an emphasis on Belgian hospitals. The developed maturity model is grounded in scientific literature and industry expert opinions. Experts found the maturity model to be relevant, clear, and helpful for the hospitals' road to IoT adoption.

Digital Twins: A Maturity Model for Their Classification and Evaluation

Digital Twins represent a powerful tool for transforming production and logistics towards Industry 4.0. They mirror physical assets in the digital world, enriching them with additional capabilities and features such as decision-making or lifecycle management. Due to the diverse possibilities associated with the Digital Twin, their design and implementation are also wide-ranging. This paper aims to contribute to the formalization and standardization of the description of Digital Twins. It presents a method for evaluating them through their lifecycle, from design to operation. The paper is based on an overview of their potential functionalities and properties with ranked stages of development. This method allows for an application-specific evaluation of Digital Twins and describes how they can be improved to suit the application better. The maturity model development follows the procedure for developing maturity models for IT management. Relevant capabilities and features were identified with a systematic literature review following the PRISMA guidelines. The results of this review were ranked and categorized and constitute the core of the maturity model, which was validated on five use-cases from different domains in production and logistics. The maturity model assesses Digita Twins in seven categories (context, data, computing capabilities, model, integration, control, human-machine interface) with 31 ranked characteristics. It evaluates existing solutions for potential improvements for a given application or the transfer to a new use-case. The resulting method and a supplementary web service present a generalized model for the evaluation of Digital Twins. Based on a description of a potential application, this is the first step towards a systematic evaluation, improving the structured development of such applications