Digital Maturity Model Research Articles

Development Digital Maturity Attributes Based on Higher Education Business Processes

Transformation in the digital aspect is a crucial part of the higher education development in digital age transformation. The oject of this study is to identify the transformation of digital maturity requirements in universities as higher education institutions from Indonesia, which will later be used as criteria for forming a digital maturity model. The research method is mixed, involving both qualitative and quantitative analyses. The type of research applied is the Exploratory Sequential Design, where the data is collected and analyzed with the qualitative method, then follows up the results with a quantitative one to explore a phenomenon. The content validity index applied in this study is used to validate digital maturity requirements. It has been applied to various digital technology companies, government policies in higher education systems, and management applied to multiple universities. The results can guide universities in navigating digital transformation in their institutions. This study highlights that previously proposed digital maturity models need to sufficiently consider the business processes of higher education and the need for security and privacy dimensions, which have not been extensively discussed in the literature.

Expert opinion aggregation-based decision support for human-robot collaboration digital twin maturity assessment

Human-centered smart manufacturing is an essential direction for the future development of manufacturing. Safe and reliable smart human-robot collaboration is the foundation for realizing human-centered smart manufacturing. Digital twin-based human-robot collaboration has been proposed as a new manufacturing paradigm to devise collaborative strategies, simulate collaborative processes, and ensure worker safety. Establishing a maturity model is essential to accurately assess the capabilities of the constructed human-robot collaboration digital twin. This paper aims to contribute to the formalization and standardization of the human-robot collaboration digital twin. It constructs a novel assessment framework for the overall maturity measurement of existing digital twin-based human-robot collaboration projects. The developed human-robot collaboration digital twin maturity model includes 5 evaluation dimensions and 24 evaluation factors. Additionally, 5 maturity levels and their definitions are defined for each evaluation factor for maturity scoring. The expert opinion aggregation approach is proposed to quantify the evaluation factor metrics and ultimately to obtain a maturity level for the human-robot collaboration digital twin. The effectiveness and feasibility of the proposed method are verified through a collaborative assembly case study. This paper provides a generic method for assessing the competency level of human-robot collaboration digital twins, which can provide insights into the maturity of digital twins for practitioners in the human-robot collaboration field to develop targeted strategies for optimizing and upgrading human-robot collaboration digital twins.

A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar

ObjectivesIn 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide digitalization of German hospitals has remained a relatively understudied phenomenon. This study aims to address this gap in knowledge by examining the influence of various factors identified by the DigitalRadar maturity model on the digital maturity of hospitals in Germany. In doing so, it seeks to elucidate the implications these findings have for the development of a digital, patient-centred, safe, and high-quality hospital landscape in the country. MethodsThe model was developed through a scoping review of digital maturity models, requirements set forth in the Hospital Future Act, analysis of components from existing models and feedback from a sounding board. Ultimately, the model includes 234 questions (items) categorized into 7 dimensions of digitalization. It was piloted in 12 hospitals and revised accordingly. 1,624 hospitals (91% of all German hospitals) participated in this self-assessment, as participation was mandatory to receive funding. ResultsThe average DigitalRadar score on a 100-point scale is 33. Maturity is comparatively high in the structures and systems dimension, but low in the clinical processes, exchange of information, telemedicine and patient participation dimensions, suggesting that data exchange is hampered by a lack of interoperability. Drivers of digital maturity are teaching status, size, connectivity, and level of emergency services. ConclusionsThe transparency gained allows hospitals and regulators to identify areas for improvement and develop digital strategies. Additionally, it enables researchers to analyse, for example, the correlation between digitalization and the quality of care, as well as the mechanisms of action of large-scale funding programs for hospital digitization.

Implementing NIST Framework and the People, Process, Technology approach in Indonesian Financial Services

A financial services company in Indonesia was implementing digital transformation with various strategies. Regulators such as the Financial Services Authority have stipulated that financial services companies must ensure effective data security and smooth internal operations to counter evolving cybersecurity threats. The Gap Analysis results show that the Roadmap and Solution development will be focused starting from the Identify dimension of the NIST Framework, specifically in the asset management category. This research also uses a post-positivist paradigm with a mixed methods approach, which combines qualitative and quantitative research methods. This research will adopt two Digital Maturity Models. by considering the complementary elements of the two models, to create a Framework that is more holistic and in accordance with the specific needs of the organization. The benefit of this research is the development of a framework based on the NIST Cybersecurity Framework and Profile for Ransomware Risk Management, which will be integrated with the PPT Framework (People, Process & Technology) which is expected to improve cybersecurity maturity, especially in dealing with ransomware risks.

Digital maturity model for continuous improvement

The present research work presents the development and implementation of a Digital Maturation Model (MMD) designed and adapted to the Institute of Higher Education, Establishing the degree of Digital Maturity present in the Institute of Higher Education located in Orizaba, through the development and application of a Digital Maturity Model. Outlining strategic planning oriented to the analysis necessary to generate improvement proposals through the use of digital technologies, increasing efficiency and competitiveness, improving the service offered. The present research will take a quantitative methodology through a longitudinal study with the intention of obtaining a before and after, through a quantifiable approach, obtaining the evaluation of the Digital Maturity Index and the detection of areas of opportunity for the proposal of improvements.

A three-stage digital maturity model to assess readiness for blockchain implementation in the maritime logistics industry

Interesting opportunities lie in digital technologies, such as blockchain, as enablers of further digital development in maritime logistics processes. Marine companies must assess their digital maturity using appropriate models to gain a competitive advantage through digital transformation. Therefore, it is crucial to present a novel and empirical maturity model for assessing blockchain implementation in maritime logistic organizations. This paper proposes a three-stage digital maturity model that effectively measures digital readiness in maritime logistics industries. The model consists of 5 criteria, 10 dimensions, 45 maturity items, and 5 maturity levels. To exemplify the maturity level within its operations, the model is applied to a case study of Shahid Rajaee Port in Iran. The fuzzy theory and decision-making approaches are used to calculate digital readiness and test the proposed model. The research findings reveal a significant gap in digital maturity studies in the field of shipping and ports. By integrating organizational aspects, our model provides a comprehensive approach to understanding and improving blockchain capabilities within the maritime logistics sector, given that there is no comprehensive maturity model to evaluate the readiness of maritime logistics to adopt blockchain practices.

Digital Maturity Models – a Bibliometric Exploration

Abstract This paper aims to investigate literature on digital maturity modelling in order to build a better understanding of this field of research which is gaining increased attention from both public as well as private institutions. The objective of the study is to outline a clear vision of what the main areas of research related to digital maturity models are and ultimately map out particular research directions that could benefit from further academic attention in the future. For this purpose, a bibliometric analysis was employed, relying on academic publishing data obtained from the Scopus scientific database. After selection and filtering, 468 pieces of literature were deemed relevant and were subsequently mapped for analysis using co-occurrence and bibliographic coupling. Results show that there is an exponential increase in academic attention for digital maturity modelling in the last 3 years, with recent interest being focused towards the manufacturing sector and small and medium sized enterprises, while other expected sectors such as e-government have fallen behind. It has also been found that digital maturity modelling is in a divergent stage, producing a large amount of different models and only in the last year there are signs of attempts at converging existing knowledge into fewer models with a more rigorous, quantitative development. Consequently, this paper proposes that a key direction of research for digital maturity modelling should be the addition of quantitative based evaluation of digital maturity components and their effectiveness as part of a digital maturity model.

Technology adoption and digital maturity in the conformity assessment industry: Empirical evidence from an international study

Technological innovation and digitalization are transforming industries and organizations worldwide. Digital Maturity Models often serve as a reference point to monitor the digitalization progression through prescribed stages. Yet, little is still understood about (i) how a digital maturity model should be designed and deployed in a specific industry setting and (ii) the association between digital maturity and technology adoption. Building on extant literature and extensive interviews with industry experts, we first develop a digital maturity model in the context of the conformity assessment industry (a globally regulated industry responsible for assessing compliance of organizations with standards and regulations). Second, we implement the model and conduct a survey across 1447 organizations in 15 countries. Our findings reveal that the digital transformation journey of the industry progresses along five stages of maturity (with most organizations in the early/intermediate stages of digital maturity) with distinctive patterns of technical and managerial practices across all stages. Adoption of technologies is (unsurprisingly) associated with higher digital maturity levels - albeit that association does not hold for complex technologies (such as Blockchain) and is impacted by country specifics (measured by the Digital Skills Gap Index). Our study provides insights into digital maturity and the adoption of technologies in an institutional environment that is highly regulated and conservative, in which high integrity of service provision is primary, and digitalization is a secondary focus of organizations.

Development of a digital transformation maturity model for the construction industry

PurposeDigital transformation is crucial for achieving high-quality development in the construction industry. Assessing the industry's digital maturity is an urgent necessity. The Digital Transformation Maturity Model is a potential tool to systematically evaluate the digital maturity levels of various industries. However, most existing models predominantly focus on sectors such as the Internet and manufacturing, leaving the construction industry comparatively underrepresented. This study aims to address this gap by developing a maturity model tailored specifically for digital transformation within the construction industry.Design/methodology/approachThis study leverages the Capability Maturity Theory and integrates the unique characteristics of the construction industry to construct a comprehensive maturity model for digital transformation. The model comprises five critical dimensions: industry environment, strategy and organization, digital infrastructure, business process and management digitization, and digital performance. These dimensions encompass a total of 25 assessment indexes. To validate the model's feasibility and effectiveness, a digital transformation maturity assessment was conducted within China's construction industry.FindingsThe results of the maturity assessment within the Chinese construction industry reveal that it currently operates at the third level of digital maturity (defined level). The industry's maturity score stands at 2.329 out of 5. This outcome indicates that the developed model is accurate and reliable in assessing the level of digital transformation maturity within the construction industry.Originality/valueThis paper contributes both practical and theoretical insights to the field of digital transformation within the construction industry. By creating a tailored maturity model, it addresses a significant gap in existing research and offers a valuable tool for assessing and advancing digital maturity levels within this industry.

A Conceptual Model to Measure Digital Maturity Level in Electricity Distribution Companies

Digitalization, while being one of the primary objectives in today's business world, increases its significance with technological advancements. Recently, there has been a need for tools to determine the levels of digitalization within certain standards and metrics for companies seeking to understand and accelerate their digitalization process, and to determine how these companies should proceed to address their shortcomings. When specifically looking at electricity distribution companies, the technological advancements such as distributed production, storage, and electricity vehicles make the digitalization process not just a choice but a necessity to operate distribution systems reliably and effectively. This study proposes a conceptual model specifically for electricity distribution companies for the first time, by researching digital maturity models developed for other sectors in the literature.

Factors influencing Digital Transformation Success: A Study on a Sri Lankan Commercial Bank

The purpose of this research was to identify the most influencing factors to the success of Digital Transformation (DT) journey of a commercial bank in meeting the digital savvy, dynamic customer demand in the banking business. The study has focused on the predominant stages of Digital Transformation, various theoretical models related to DT, the influence of the DT over Banking Industry, Benefits, Challenges and Barriers of DT along with various internal factors influencing Success of DT. The expansion of the DT phenomenon at national level over the years with the regulatory influence has urged Commercial Banks to digitally transform to be in the competition. The low success rate reported consistently for a considerable period in the selected commercial bank was identified as the Research problem for the study. The respondents have been selected from the population of managerial level employees and the scaling down of DT success had been concentrated on the empirically used “Digital Maturity Model”. The conceptual framework consists of four independent variables contributing to DT success most cautiously selected by researchers from the previous literature on the higher frequency in simultaneous research. The Author recommends the strategies and measures to increase the low success rate reported in the DT initiatives of the Banks such as (1) Recognizing Change and urgent response (2) Strategic Alignment (3) Reinvigoration of Culture (4) Training and upskilling workforce (5) Business perspective Technology disruption (6) Significance on Data Culture and (7) Digital Product Development. The research significantly covers the theoretical gap in the DT discipline in local context and by assessing the internal factors subject to inside-out approach anticipating making a reference to support sustainable future growth in the Digital Business in the Banking Industry despite the limitations of individuals researching on a typical discipline like Digital Transformation. Keywords: Digital Business, Digital Maturity Model, Digital Savvy, Digital Transformation.

Decoding the Digital Landscape: An Empirically Validated Model for Assessing Digitalisation across Public Administration Levels

This research advances the field of digital government by developing and empirically validating a model for measuring the digital state of public administration, with a specific focus on Slovenia. Moving beyond traditional digital maturity models, our study introduces a holistic framework that integrates elements of technology, process, structure, people and organisational culture, enriched by dimensions of digital principles, good governance, and external environmental factors. This framework is grounded in an adaptation of Leavitt’s diamond model, tailored to capture the nuances of digitalisation in public administration. The empirical validation is conducted through a comprehensive questionnaire administered to Slovenian public administration organisations at both local and state levels. The results provide a nuanced understanding of the current digital state that extends beyond technological aspects, including process optimisation, organisational structure, people elements and culture dynamics, and insights into internal and external barriers to digitalisation as well as principles of good governance and digitalisation. The study’s results show that ministries in Slovenia generally possess a more advanced digital infrastructure than municipalities, particularly in various aspects of ICT development and integration. While Slovenia aspires to align with the EU digital strategy, it faces various challenges, particularly at the municipal level, in achieving coherent development of digital skills and policy implementation. The comprehensive approach allows for a more informed evaluation of digital transformation efforts, offering insights into areas of strength and opportunities for further development. The findings have significant implications for policymakers and stakeholders, highlighting critical areas for targeted improvement and strategic planning in the digitalisation of public administration.

Prescriptive digital transformation maturity model: a development and validation study

PurposeThis study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.Design/methodology/approachA literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.FindingsResults obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.Research limitations/implicationsThe developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.Originality/valueA novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

A quantitative digital twin maturity model for underground infrastructure based on D-ANP

Digital twin (DT), serving as a powerful tool for reflecting semantic and complex properties of underground infrastructure, plays a crucial role in optimising decision-making and closing sensing-control loop. Its application has demonstrated promising potential in advancing project quality and construction efficiency. Nevertheless, the absence of a maturity model (MM) limits the comprehension, evaluation, advancement, and implementation of DT. A quantitative MM further provides insights and benchmarks for technological advancement and functional completeness. The study firstly proposes a five-level maturity hierarchy based on systematic literature review and specialities of underground infrastructure. A qualitative evaluation system is constructed comprising 5 dimensions and 13 rubrics. Considering the interdependencies among rubrics, a D-ANP (Decision-Making Trial and Evaluation Laboratory & Analytical Network Process) method is utilized to evaluate the maturity level and assign weights to rubrics. Effectiveness and feasibility of the proposed MM are demonstrated through case studies involving subway station and tunnel DTs. The results indicate that the MM provides valuable perspectives and enables cross-disciplinary and multi-phase comparisons of DTs from the technological perspective.

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.

Digital Maturity Model for Continuous Improvement

The present research work presents the development and implementation of a Digital Maturation Model (MMD) designed and adapted to the Institute of Higher Education, Establishing the degree of Digital Maturity present in the Institute of Higher Education located in Orizaba, through the development and application of a Digital Maturity Model. Outlining strategic planning oriented to the analysis necessary to generate improvement proposals through the use of digital technologies, increasing efficiency and competitiveness, improving the service offered. The present research will take a quantitative methodology through a longitudinal study with the intention of obtaining a before and after, through a quantifiable approach, obtaining the evaluation of the Digital Maturity Index and the detection of areas of opportunity for the proposal of improvements.

The relationship between the digital maturity and efficiency of Croatian non life insurers: Exploratory research

Aim/purpose – In line with the general trend of digitalization and changing customers’ needs and preferences, insurance companies have increasingly applied digital technology to their business. This digital transformation should enhance insurance companies’ efficiency and provide further advantages. Therefore, this study’s main aim is to analyze the current relationship between the digital maturity of Croatian non-life insurers and their efficiency. Design/methodology/approach – The empirical analysis is based on the data collected via an online survey on a sample of Croatian non-life insurers and from the insurance companies’ financial statements. The data was analyzed using the Digital Maturity Model 5.0 by Forrester Research, Inc., Data Envelopment Analysis, and correlation analysis. Findings – The surveyed Croatian non-life insurance companies have achieved the sec- ond level of a four-level digital maturity scale, on average. Although the digital trans- formation of insurance companies is a promising efficiency driver, the current level of digital maturity of Croatian non-life insurance companies is not positively related to their efficiency. Research implications/limitations – The research has implications for insurance com- panies regarding their path of digital transformation, as well as for the regulators estab- lishing an adequate regulatory framework to encourage the digital development of insurance companies. The objective limits of the research refer to the means of mea- suring digital maturity and the sample size. The research is limited to the Croatian insur- ance market. Originality/value/contribution – Analysis of the efficiency of insurance companies from the information technology perspective is rare in the academic literature, and this issue has not been investigated using a sample of Croatian insurers. The research con- tributes to advancing knowledge on the relationship between digital maturity and insur- ance companies’ efficiency.1 Keywords: digital transformation and maturity, efficiency, Croatian non-life insurance companies. JEL Classification: G22, C67, D22

Simulation-based digital twin of a high-speed turbomachine (fan) used in avionics cooling

In this contribution, the simulation-based digital twin of a high-speed turbomachine, i.e. a fan with a nominal speed of 16500 rpm, that has been developed for the aerospace industry with multiple uses in various platforms, and the corresponding findings are presented. The relevant simulation-based digital twin is created by first running various multi-physics engineering simulations, i.e. computational solid mechanics, computational fluid dynamics, and low-frequency electromagnetic analyses with Ansys software. Subsequent dynamic reduced order models (ROM) are formed and integrated together to create the digital twin that are bidirectionally connected with the asset. The digital twin is also validated via experimental data that are obtained with various setups for several parameters read at discrete locations via sensors, based on fidelity comparisons both between experiments and simulations, and between simulations and ROMs. Several operational scenarios including those with stress tests are run and the asset is checked against fatigue and thermal requirements for the rotor-stator assembly and the motor circuit respectively. This is done with an inhouse program that incrementally reads time, temperature, and rotational speed data and in which the relevant fatigue and thermal criteria are defined. This program is also used to simulate and analyse what-if scenarios. It is seen that vibration fatigue dominates all possible sources of failure in most cases. As a novel aspect, the fatigue induced by starts and stops of the fan is expressed as equivalent operating hours (EOH) depending on time and temperature parameters of the corresponding scenarios, as opposed to be taken as a constant value for all scenarios. Using this novelty, it is also conceptually demonstrated that simulation-based digital twins can play a significant role in operation and maintenance (O&M) when combined with conventional data-driven predictive maintenance techniques, not only for O&M teams but also asset owners and original equipment manufacturers (OEMs) particularly with the use of what-if analyses. Approaches to simulation-based digital twins in context with multi-physics and ROM fidelity are also discussed based on several digital twin maturity models.

Regulatory compliance as a driver for digital transformation: the case of the railway sector in Europe

The railway sector is an important part of the transportation industry as well as of the economic activity in Europe. It is interesting that digitalization of this sector has been triggered in several European countries by regulatory compliance obligations. The Technical Specification for Interoperability relating to Telematics Applications for Freight/Passenger Services as well as other related standards have created opportunities for the digital transformation of the players participating into this market. Apart from achieving a base minimum compliance to the standards, there are prerequisites and questions to be answered at organizational and technological level if railway sector players are to embark on the digital transformation journey. This research study provides explanations on the argument the regulatory compliance may act as a driver for digital transformation, using the example of the railway sector in Europe and presents some important prerequisites for this market’s players to take the opportunity for digital transformation. The ultimate goal of this research, whose foundations are set up in this research paper, is to formulate a digital maturity model for the actor of the railway sector, for the benefit of their retail and business clients.

Digital transformation of strategic management of SMEs in the Czech Republic

Strategic management of SMEs is perceived as crucial backbone of their business, as itimpacts their business models and internal processes all the way up to digital innovationmeasured by the level of digital maturity. How do the strategic management factorsinfluence the digital maturity? Through quantitative analysis of 76 respondentsrepresenting SMEs in the Czech Republic, the research data was collected andstatistically tested. Results imply that strategic management factors affect the level ofdigital maturity. This paper contributes to prior literature by practical implementationof modified digital maturity model and by addressing the correlation of strategicmanagement factors and the level of digital maturity. Limitations springing fromsample site and environment are addressed and discussion on the results is conducted.Author proposes a conclusion that strategic management factors can be perceived as adriver of digital transformation, emphasizing the need for future research and practicaldiscussion.