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Digital 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.

This 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.

The 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.

This 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.

This 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.

A 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.

Results 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.

The 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.

A 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.

This study aims to investigate three relevant antecedents of digital transformation (digital orientation, digital intensity and digital maturity) and their influences on the financial success of companies.

Building on the strategic management and digital transformation literature, five hypotheses are developed to find the relationships between these antecedents and financial success.

Digital orientation and digital intensity alone do not contribute to the financial success of companies. Specifically, digital intensity serves as a negative moderator between digital orientation and financial success, meaning that it reduces the performance effects of digital orientation. Digital maturity acts as a mediator between digital orientation and the financial success of companies and between digital intensity and the financial success of companies.

This research contributes to the literature on strategic management and digital transformation by providing a further understanding of three relevant antecedents of digital transformation (digital orientation, digital intensity and digital maturity) and how they should be positioned alongside digital transformation settings to achieve financial success.

This paper presents a maturity model for digital transformation effectiveness in laboratories (labs) with education and research purposes.

The model was developed using design science research methodology, expert interviews and case studies.

The model fulfills three practical goals: (1) to establish comparability of the effectiveness of the digital transformation of labs, (2) to provide lab operators from academia and industry with a guide for (further) transformation and (3) to build initial trust among lab users. In addition, the maturity model contributes to the literature on digital lab transformation by capturing, describing, structuring and evaluating relevant dimensions, items and levels. Model strengths and weaknesses, areas for improvement, international applicability and practical and reusable recommendations are presented as well as the added value in assessing lab functionalities and lab sustainability.

Although originally developed as a maturity model driven by lab education, the model is also suitable for the transformation of research labs in manufacturing technology management. Digital labs can efficiently support industry training and research and development activities as well as simulate the development of new processes prior to their implementation.

Especially for these use cases, the authors see application potentials for the use of online labs from an organizational perspective and from the perspective of stakeholders such as industry users and operators with a manufacturing background, who use and develop transformed labs for teaching and research.

The purpose of this paper is to propose a leagile transformation model for product development that guides manufacturers in the construction of a road map and the management of its deployment in line with both lean and agile improvement objectives.

An intervention qualitative and transformative research approach was adopted in order to develop required knowledge to theorise professional practice made from rigorous observations of facts. The research project took place over a period of two and a half years, in partnership with an international firm that develops and produces a wide range of luxury products.

The application of the methodology proved that a lean transformation does not have to be generated only by the field needs but it can follow a mixed approach where a top-down transformation management linked with strategic objectives is deployed without compromising implication and needs from people on the field. The right balance can be found between the strategic aspect of transformation and the incremental aspect on the field of lean paradigms.

For complete validation and widespread scientific application, the model should be tested in other sectors and industries.

The application case of the leagile model in several divisions of a luxury organisation proved that the proposed approach can be used as a guide for manufacturer in the construction of an improvement road map and in the management of its deployment. The application cases enabled a number of positive results to be generated and measured on quantitative indicators such as service ratio for new products for which, one of the divisions saw an increase of 30 per cent. The approach created a positive revolution among development team members by its potential in terms of communication, steering, benchmarking and knowledge system.

The model supports the identification and prioritisation of improvement initiatives by focusing on the levers for improvement that meet the needs and objectives of transformation, as well as the organisation’s maturity level.

This paper aims to study the impact of the digital transformation on the role and governance of Information Technology departements. The study focuses on banks and insurance companies because they have been allocating significant resources to managing their digital transformation.

Inductive qualitative research of an exploratory type based on the Gioia method involved face-to-face interviews at the IT departments of seven financial sector companies in France. Axial encoding of the answers, recommended by Gioia, was used to classify the raw data and structure the analysis using a graphical presentation.

Four IT governance maturity situations were determined within the financial steering and performance analysis modes of digital transformation projects. This research aimed to enable companies to position their practices within the analysis framework defined through modelled maturity situations and to help them steer their digital transformation.

A panel was composed with most of the banks in France and some insurance companies. The link was done between Digital Maturity, and Digital and IT Governance, and with the use of the graphical qualitative research using the Gioia method.

Today, businesses, organizations and governments attach great importance to digital transformation to meet the needs of their customers, business partners, and employees to adapt to the developing technology in recent years. Digital transformation, which is a challenging and mandatory process, has been and continues to be passed by institutions today. However, the successful management of this transformation without conflict can be realized by accurately detecting new communication technologies and examining, understanding, and implementing the transformation process in detail. This process will be painful, where radical changes will take place in the structure, processes, functions, and business models of the organization. Different challenges may be encountered in each of the startup, execution, and governance subprocesses examined in the digital transformation process. Many conflicts such as time and budget shortages, inadequate digital skills and lack of vision for digital customer processes, cybersecurity threats, human resource shortages, difficulty in managing technology, failure to achieve cloud structure integration, vision, and culture differences are the reasons why this process cannot be managed fluently and accurately. For businesses that focus on this goal, regardless of scale, digital transformation has become a necessity, not an alternative to choose. In this study, the digital transformation process and maturity model were discussed, and technological and digital conflicts were emphasized. It seeks to shed light on the work they will do by making recommendations for institutions to manage this process in the best way.

The purpose and theoretical contributions of this paper are to improve current knowledge on culture's role in firms' digital transformation, as well as to identify and add a cultural “digital maturity” lens to well-known, already actionable frameworks for the digital transformation of firms.

To increase current knowledge on culture's role in firms' digital transformation, as well as to identify and add a cultural “digital maturity” lens to well-known and actionable frameworks for the digital transformation of firms, a multi-step approach was chosen, including both literature reviews as well as a qualitative study of one company case.

Early generations of digital transformation frameworks, mainly from the field of information systems (IS), did not take into consideration firms' culture. More recent research in the fields of management and organization, however, emphasizes the role of culture and key cultural attributes favorable for a digital transformation. By integrating key findings on digital transformation from these research fields, a multi-disciplinary framework could be presented, allowing any organization to plan, organize and monitor a digital transformation from three essential lenses: technical (processes and actions for transforming), social (transformation of norms and behavior) and macro (transformation of the perception of the outside world).

Only one case study was included in this study. The developed multi-disciplinary framework needs to be tested in more cases.

Practitioners can use the new integrated framework above for evaluating the conditions for, and the progression of a digital transformation, by using the developed framework and by applying the three lenses.

The paper contributes a new multi-disciplinary integrated framework for the digital transformation of enterprises and a further understanding of the impact of culture in the transformation of the firm.

Uncertain times [e.g. coronavirus disease 2019 (COVID-19)] require service businesses to respond in creative, flexible and resilient ways. This paper aims to develop and test the theoretical relationship between digital transformation and organizational resilience (OR), and the consequences of OR on organizations and employees during turbulent times.

A scale development was first conducted with an expert panel. Later, 474 participants who work as employees in small and medium-sized service enterprises were recruited for structural equation modeling (SEM). Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and path analysis were conducted to test the relationship between dimensions of digital maturity, dimensions of OR and two consequential variables: organizational performance and employees’ state optimism.

Strategic technology investment helps organizations to develop systematic control sustain operations in crises but may not directly contribute to employees’ capabilities of accurately understanding external turmoil, actively seeking available resources and rapidly developing adaptive solutions. Transformation management intensity equips an organization with transformative vision, governance and culture, and such transformative built-in leadership enables the organization to embrace employees with talents and innovativeness and help employees grow their capabilities when facing crises. The dimensions of OR have different influences on the organization and employees.

This research develops and tests the dimensions and measurement items of OR for the services domain and empirically tested how the dimensions of digital maturity influence the dimensions of OR, and how OR influences the organization’s performance and employees’ state optimism.

The purpose of this paper is to review existing smart manufacturing (SM) maturity models' dimensions and maturity levels to assess their applicability and drawbacks. There are many maturity models available but many of them have not been validated or do not provide a useful guide or tool for applications. This gap creates the need for a review of the existing maturity model's applicability.

Nineteen peer-reviewed maturity models related to “Digital Transformation,” “Industry 4.0” or “Smart Manufacturing” were selected based on a systematic literature review and five consulting firm models were selected based on the author's industry knowledge. The chosen models were analyzed to determine 10 categories of dimensions. Then they are assessed on a 1–5 scale for how applicable they are in the 10 categories of dimensions.

The five “consulting firm” models have a first-mover advantage, are more widely used in industry and are more applicable, but some require payment, and they lack published details and validation. The 19 “peer reviewed” models are not as widely used, lack awareness in the industry and are not as easy to apply because of no web tool for self-assessment, but they are improving. The categories defined to characterize the models and facilitate comparisons for users include “Information Technology (IT) and Cyber-Physical System (CPS) and Data,” “Strategy and Organization,” “Supply Chain and Logistics,” “Products and Services,” “Culture and Employees,” “Technology and Capabilities,” “Customer and Market,” “Cybersecurity and Risk,” “Leadership and Management” and “Governance and Compliance.” The analyzed maturity models were particularly weak in the areas of cybersecurity, leadership and governance.

Researchers and practitioners can use this review with consideration of their specific needs to determine if a maturity model is applicable or if a new model needs to be developed. The review can also aid in the development of maturity models through the discussion of each of the dimension categories.

Compared to existing reviews of SM maturity models, this research determines comprehensive dimension categories and focuses on applicability and drawbacks.