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This 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.

A 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.

The 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.

The 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.

The 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.

Insufficient productivity development in the global and Finnish infrastructure sectors indicates that there are challenges in genuinely achieving the goals of resource efficiency and digitalization. This study adapts the approach of capability maturity model integration (CMMI) for examining the capabilities for productivity development that reveal the enablers of improving productivity in the infrastructure sector.

Civil engineering in Finland was selected as the study area, and a qualitative research approach was adopted. A novel maturity model was constructed deductively through a three-step analytical process. Previous research literature was adapted to form a framework with maturity levels and key process areas (KPAs). KPA attributes and their maturity criteria were formed through a thematic analysis of interview data from 12 semi-structured group interviews. Finally, validation and refinement of the model were performed with an expert panel.

This paper provides a novel maturity model for examining and enhancing the infrastructure sector’s maturity in productivity development. The model brings into discussion the current business logics, relevance of lifecycle-thinking, binding targets and outcomes of limited activities in the surrounding infrastructure system.

This paper provides a new approach for pursuing productivity development in the infrastructure sector by constructing a maturity model that adapts the concepts of CMMI and change management. The model and findings benefit all actors in the sector and provide an understanding of the required elements and means to achieve a more sustainable built environment and effective operations.

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.

The purpose of this study is to propose a framework for the convergence of maturity model and education and evaluation in accounting.

The present research was conducted in two phases. In the first phase, to determine the indicators of convergence of the maturity model and education and evaluation in accounting, a Meta-Synthesis method was used. The conceptual model includes two dimensions of “Teaching and learning processes” and “Evaluation methods"; five levels of initial, repeatable, defined, managed and optimized; and a total number of 35 indicators. In the second phase, a questionnaire was developed, and academics as accounting faculty members in Iranian public universities were employed to fill out the questionnaire electronically and present a final framework. Having received the questionnaires, 66 questionnaires were analyzed statistically.

The results showed that the two dimensions of “Teaching and learning processes” and “Evaluation methods” considering initial, repeatable, defined, managed and optimized levels include 35 indicators, which form a framework for the convergence of maturity model and education and evaluation in accounting. The results show that both dimensions have positive and significant regression path coefficients in the convergence model. Moreover, the dimension of teaching and learning processes has the highest regression path coefficient indicating a greater impact on the convergence model. Besides, all five levels have positive and significant regression path coefficients with dimensions. Finally, in this study, all indicators were prioritized according to five levels.

Due to the success of maturity models and the urgent developments that require transformative improvements in accounting education, maturity models can respond to the challenges associated with education and learning in accounting. Thus, conceiving an image of the convergence of maturity model, education and evaluation in accounting seems imperative which has been scarcely investigated previously.

Industry 4.0 has offered significant potential for manufacturing firms to alter and rethink their business models, production processes, strategies and objectives. Manufacturing organizations have recently undergone substantial transformation due to Industry 4.0 technologies. Hence, to successfully deploy and embed Industry 4.0 technologies in their organizational operations and practices, businesses must assess their adoption readiness. For this purpose, a multi-dimensional analytical indicator methodology has been developed to measure Industry 4.0 maturity and preparedness.

A weighted average method was adopted to assess the Industry 4.0 readiness using a case study from a steel manufacturing organization.

The result revealed that the firm ranks between Industry 2.0 and Industry 3.0, with an overall score of 2.32. This means that the organization is yet to achieve Industry 4.0 mature and ready organization.

The multi-dimensional indicator framework proposed can be used by managers, policymakers, practitioners and researchers to assess the current status of organizations in terms of Industry 4.0 maturity and readiness as well as undertake a practical diagnosis and prognosis of systems and processes for its future adoption.

Although research on Industry 4.0 maturity models has grown exponentially in recent years, this study is the first to develop a multi-dimensional analytical indicator to measure Industry 4.0 maturity and readiness.

Toyota had mature lean capabilities when developing its supplier network. This paper aims to explore how companies can develop a Toyota-style supplier network (TSN) while their lean capabilities are still evolving.

Theoretically, this paper relies on the literature on lean maturity levels and lean supplier network development. Empirically, the paper portrays a Toyota-style initiative, detailing the buyer’s efforts to develop internal lean capabilities concurrently with developing lean in its supplier network. It compares the Network for supplier innovation (NSI) initiative with TSN development regarding activities, organizations and knowledge-sharing routines.

Unlike the sequential development in the case of Toyota, NSI improved performance and capabilities in the buyer’s supplier network by implementing lean in the firm and its supplier network concurrently. Third-party involvement was the key to the initiative’s success.

The findings are based on an in-depth single-case study which allows theoretical generalization but not statistical generalization. Furthermore, the case study concerns an initiative with Norwegian firms during a financial recession. Future studies should consider these limitations on how firms with evolving lean capabilities can develop a TSN-style supplier network and the importance of involving third parties operating in the role of lean master.

This study suggests what buying firms should consider when designing a TSN initiative, enrolling suppliers and engaging third parties that can take on the role of lean master.

Previous research has focused on how mature lean firms develop lean suppliers and networks. This paper extends this to firms whose lean capabilities are still evolving.

Digitalisation, which involves the use of digital technologies in transforming an organisation’s activities, transcends just the acquiring of emerging digital tools. Having the right people to drive the implementation of these technologies and attaining strategic organisational goals is essential. While most studies have focused on the use of emerging technologies in the construction industry, less attention has been given to the ‘people’ dimension. Therefore, this study aims to assess the people-related features needed for construction digitalisation.

The study adopted pragmatic thinking using a mixed-method approach. A Delphi was used to achieve the qualitative aspect of the research, while a questionnaire survey conducted among 222 construction professionals was used to achieve the quantitative aspect. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H test, exploratory factor analysis and confirmatory factor analysis.

Based on acceptable reliability, validity and model fit indices, the study found that the people-related factors needed for construction digitalisation can be grouped into technical capability of personnel, attracting and retaining digital talent and organisation’s digital culture.

The findings offer valuable benefits to construction organisations as understanding these identified people features can help lead to better deployment of digital tools and the attainment of the digital transformation.

This study attempts to fill the gap in the shortage of literature exploring the people dimension of construction digitalisation. The study offers an excellent theoretical backdrop for future works on digital talent for construction digitalisation, which has gained less attention in the current construction digitalisation discourse.

Governments globally are adopting e-Government services to streamline administrative processes and meet citizens' expectations. This study investigates e-Government service quality from citizens' perspectives in 50 Greek municipalities, using the technology acceptance model (TAM) and cognitive theory.

The data from 707 respondents across 50 Greek municipalities are analyzed using structural equation modeling (SEM), ANOVA and moderation analysis. The study assesses the relationships between key factors and citizens' intentions to use e-Government services, examining the impact of demographics and the digital divide.

The study reveals that perceived attractiveness (PA), perceived usefulness (PU), perceived ease of use (PEOU) and awareness (AWA) significantly influence citizens' behavioral intentions (BINTs) toward municipal e-Government services. Interestingly, PEOU negatively impacts users' intentions, suggesting dissatisfaction with portal attractiveness and utility. The study explores the influence of demographic variables and the digital divide on citizens' BINTs, highlighting economic activity and income as crucial determinants.

The study emphasizes the significance of user-friendly design, PU, PEOU and AWA campaigns for the development of effective e-Government platforms. Strategies to address the digital divide and promote citizen engagement are essential for enhancing user experience, service utility and AWA, ultimately fostering a positive attitude toward e-Government.

Addressing demographic differences ensures inclusive e-Government systems, while bridging the digital divide promotes equitable service delivery and citizen engagement.

This research provides insights into factors influencing citizens' BINTs toward e-Government services. The study's examination of demographic attributes and the digital divide enhances understanding, contributing to the development of citizen-centric e-Government services and supporting inclusive digital transformations.

This study aims to investigate what past scholars have learned about Muslim consumer compliance behaviour in Islamic banks and identify what future research is needed. In addition, it also explores the relationship model between the previously studied determining factors and the customer’s Sharia compliance behaviour.

This study used a bibliometric–systematic literature review analysis using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) technique by reviewing the articles published from 2013 to 2023. The PRISMA procedures involved several stages, including identification, screening, eligibility, analysis and conclusion based on the findings.

The results found that customer Sharia compliance behaviour determinants in Islamic banks are attitude, subjective norms, perceived behavioural control, Islamic financial literacy, religiosity, consumer conformity, Islamic branding and behavioural intention. Interestingly, the results indicated that such factors as consumer conformity, Islamic branding and sustainable intentions are less discussed.

Decision-makers in Islamic banks must use digital technology to offer better service and make operations more reachable for customers to access information, complete transactions and manage their accounts by Sharia principles. Therefore, the bank needs to continually produce innovative products and services so that customers have a greater variety of options to suit their Sharia-compliant financial needs. Theoretically, this study has contributed by finding the main critical domains influencing customers’ Sharia compliance behaviour, such as attitudes, subjective norms, perceptions of behavioural control, knowledge of Islamic finance, religiosity, consumer conformity, Islamic branding and behavioural intentions. Then, it makes a theoretical contribution by establishing a model that explains how customers make decisions based on Sharia-related factors in the context of their purchases.

Past studies focused on the Sharia compliance behaviour in paying Zakat for takaful customers. Therefore, this study provides critical factors of Sharia compliance behaviour on conformity, Islamic branding and sustainable intention regarding unexplored consensus on the determinants and outcomes of customer Sharia compliance behaviour of Islamic banking.

The purpose of this study is to identify and prioritize capabilities and practices to ensure a resilient supply chain during an unexpected disruption. In addition, this study ranks maturity factors that influence the main capabilities identified.

This paper is conducted in three stages. First, capabilities and practices are extracted through a literature review. Second, capabilities and practices are ranked using the analytical hierarchical process method. Third, a gray technique for order preference by similarity to ideal solution method is used to rank maturity factors influencing capabilities.

The findings indicate that responsiveness, readiness, flexibility and adaptability are the most important capabilities for supply chain resilience. Also, commitment and communication are the highest maturity factors influencing resilience capabilities.

The findings provide a hierarchical vision of capabilities and practices for industries to increase resilience. Limitations of the paper are related to capabilities, practices and number of experts consulted.

This paper highlights the importance of high-maturity practices in resilience capability adoption. The findings of this study will encourage decisions-makers to increase maturity practices to build resilience against disruption.

The paper reveals that developing powerful capabilities, good practices and a high level of maturity improve supply chain resilience.