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The purpose of this paper is to conduct a systematic literature review for industry 4.0 maturity modeling research studies to obtain a clear view of the current state-of-the-art. Identifying characteristics of the studies; gaps, limitations and highlighted features has been aimed to guide future research studies.

The study includes a systematic literature review conducted on Scopus, IEEE Xplore and Web of Science databases and 90 publications have been reviewed. A novel qualitative taxonomy has been constructed which aims to reduce the cognitive load of the readers.

While industry 4.0 maturity modeling is an emerging concept and taking researchers’ attraction, review studies are still in infancy. Current review papers are inadequate in getting a clear idea about the concept, especially from the perspective of guiding future researchers. By the conducted approach of classification conducted in this paper, it has been seen that there are some challenges for improving the industry 4.0 maturity modeling.

Findings represented in this study can serve academicians and practitioners to develop and/or improve industry 4.0 maturity models.

The study includes a novel classification for the reviewed papers. Constructed taxonomy is among the first and tabular representations instead of prose analogy that aims to simplify the review of papers.

The purpose of this paper is to introduce an alternative approach of measuring construction industry performance using maturity modeling. The focus is on introducing a newly developed maturity model referred to as the construction industry macro maturity model (CIM3) and highlighting its use by assessing the maturity of the construction industry of the Province of New Brunswick, Canada.

Current methods of construction industry performance measurement such as labor productivity and competitiveness are briefly reviewed, highlighting their weaknesses. The theoretical underpinnings of the CIM3 are discussed and the implementation of the CIM3 to measure the cost and quality management maturity of the New Brunswick construction industry is presented.

An assessment of the construction industry's maturity using the CIM3 provides a leading indication of performance. This is based on the industry being structured according to key practices areas that contain key practices. The industry's key practices are linked to objectives that lead to the achievement of performance goals. The maturity of the construction industry with respect to its key practices is a function of the relative importance of the key practices and the capabilities of the industry in implementing the key practices. Based on this, the implementation of the CIM3 in New Brunswick found that the NB construction industry is more mature in cost management than in quality management.

This paper contributes to the existing body of knowledge on industry performance measurement, and more particularly, construction industry performance measurement. The concept of maturity modeling applied here promotes and demonstrates the use of leading indicators of performance, as recommended in most performance measurement literature.

The application of integrated project delivery (IPD) in conjunction with building information modeling (BIM) and Lean Construction (LC) as the efficient method for improving collaboration and delivering construction projects has been acknowledged by construction academics and professionals. Once organizations have fully embraced BIM, IPD and LC integration, a measurement tool such as a maturity model (MM) for benchmarking their progress and setting realistic goals for continuous improvement will be required. In the context of MMs literature, however, no comprehensive analysis of these three construction management methods has been published to reveal the current trends and common themes in which the models have approached each other.

Therefore, this study integrates systematic literature review (SLR) and thematic analysis techniques to review and categorize the related MMs; the key themes in which the interrelationship between BIM, IPD and LC MMs has been discussed and conceptualized in the attributes; the shared characteristics of the existing BIM, IPD and LC MMs, as well as their strengths and limitations. The Preferred Reporting Items for Systematic Reviews (PRISMA) method has been used as the primary procedure for article screening and reviewing published papers between 2007 and 2022.

Despite the growth of BIM, IPD and LC integration publications and acknowledgment in the literature, no MM has been established that holistically measures BIM, IPD and LC integration in an organization. This study identifies five interrelated and overlapping themes indicative of the collaboration of BIM, IPD and LC in existing MMs' structure, including customer satisfaction, waste minimization, Lean practices and cultural and legal aspects. Furthermore, the MMs' common characteristics, strengths and limitations are evaluated to provide a foundation for developing future BIM, IPD and LC-related MMs.

This paper examines the current status of research and the knowledge gaps around BIM, IPD and LC MMs. In addition, the highlighted major themes serve as a foundation for academics who intend to develop integrated BIM, IPD, and LC MMs. This will enable researchers to build upon these themes and establish a comprehensive list of maturity attributes fulfilling the BIM, IPD and LC requirements and principles. In addition, the MMs' BIM, IPD and LC compatibility themes, which go beyond themes' intended characteristics in silos, increase industry practitioners' awareness of the underlying factors of BIM, IPD and LC integration.

This review article is the first of a kind to analyze the interaction of IPD, BIM and LC in the context of MMs in current AEC literature. This study concludes that BIM, IPD and LC share several joint cornerstones according to the existing MMs.

This paper aims to provide a maturity model for information security awareness (MMISA), based on the literature, expert interviews and feedback. In addition to developing the MMISA, the authors investigate the role of the three decisive factors that affect ISA maturity level: risk management mechanism, organizational structure and ISA.

The research methodology is a combined one; qualitative and quantitative methods were applied, including surveying the literature, interviews and developing a survey to collect quantitative data about decisive factors that affect ISA maturity level. The authors perform a variance-based partial least squares-structural equation modeling (PLS-SEM) investigation of the relationships between these factors.

The investigation of decisive factors of ISA maturity levels revealed that if the authors identify a strong risk assessment mechanism (through a documented methodology and reliable results), the authors can expect a high level of ISA. If there is a well-defined organizational structure with clear responsibilities, this supports the linking of a risk management mechanism with the level of ISA. The connection between organizational structure and ISA maturity level is supported by ISA activities: an increased level of awareness actions strengthens an organizational structure via the best practices learned by the staff.

The main contribution of the proposed MMISA model is that the model offers controls and audit evidence for maturity levels. Beyond that, the authors distinguish in the MMISA model controls supporting knowledge and controls supporting attitude, emphasizing that this is not enough to know what to do, but the proper attitude is required too. The authors didn't find any other ISA maturity model which has a similar feature. The contribution of the authors' work is that the authors provide a method for solving this complex measurement problem via the MMISA, which also offers direct guidance for the daily practices of organizations.

This research aims to develop a supply chain maturity model so that Mexican firms can evaluate their current supply chain operations and develop an improvement road‐map.

The Delphi Method was used with 80 experts in Mexico. The Delphi Method gathers multiple perspectives on supply chain operations and delineates a path to reach a group consensus. The results lead to the specification of a supply chain maturity model S(CM)². S(CM)² is validated through experimentation and a pilot test to verify the ability of the model to help managers assess the supply chain processes of a firm by identifying their maturity level in each model viewpoint. A pilot test with a Mexican firm demonstrates the practical implementation of the model.

The research results in a meta‐model, called the supply chain maturity model S(CM)², that describes supply chain maturity at five levels across multiple competency areas, and provides guidance to specify an improvement plan.

The meta‐model was developed in Mexico and may not apply to the operations of supply chains in other countries. Additionally, the large scope of the meta‐model calls for further testing and refinement.

The research provides a means for firms to evaluate their supply chain operations and develop improvement plans.

The paper contributes by integrating the ideas of reference frameworks, capability maturity models, and improvement processes and demonstrates how a holistic meta‐model can be developed to evaluate supply chain operations.

In retail, product fitting is a critical operational practice. For many products, the operational outcome of the retail supply chain is determined by the customer physically fitting products. Digital product fitting is an emerging operational practice in retail that uses digital models of products and customers to match product supply to customer requirements. This paper aims to explore potential supply chain outcomes of digitalizing the operational practice of product fitting. The purpose is to explore and propose the potential of the practice to improve responsiveness to customer requirements and the utilization of existing variety in mass-produced products.

A maturity model of product fitting is developed to specify three levels of digitalization and potential outcomes for each level. Potential outcomes are developed based on empirical data from a case survey of three technology-developing companies, 13 retail cases and a review of academic literature.

With increasing maturity of digital product fitting, the practice can be used for more purposes. Besides matching product supply to customer demand, the practice can improve material flows, customer relationship management, assortment planning and product development. The practice of digital product fitting is most relevant for products where the final product configuration is difficult to make to order, product and customer attributes are easily measurable and tacit knowledge of customers and products can be formalized using digital modeling.

Potential outcomes are conceptualized and proposed. Further research is needed to observe actual outcomes and understand the mechanisms for both proposed and surprising outcomes in specific contexts.

The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes.

This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.

Enterprise resource planning (ERP) implementation commonly fails to recognize the need to treat it as a business process automation that must be managed and monitored continuously. Moreover, many studies on business process management (BPM) assessment focus on snapshots of different areas of BPM and not on the different stages of the lifecycle. The purpose of this paper is to propose a model that combines the BPM lifecycle, program/project implementation framework, principles of good practice, maturity and critical practices to assess how companies implementing ERP apply different BPM practices, as well as which areas are lacking and why.

The relevant literature was examined to develop the model for the study. Case studies of three companies in Indonesia were then conducted. The state of BPM implementation in each case was assessed through interviews, document reviews and observations.

This study found that three leading companies in Indonesia, implementing ERP for more than five years, obtained high scores for BPM implementation. They perform well in terms of process identification, implementation, monitoring and control, but are weak in process discovery and re-design, mainly because they do not optimally use specific tools for process modeling and there is a lack of process governance. The studies also pinpoint potential linkages between competition intensity and the nature of the industry with the need for good BPM.

The model has only been tested in three cases in different industries and therefore the results, while providing good insights, cannot be generalized. More detailed assessment of certain BPM practices is needed. Furthermore, the assessment for each stage of BPM implementation was made at a single time, potentially yielding less detailed results than by assessing each stage of the BPM lifecycle.

The companies implementing ERP began with business process definition, but employ different process governance. The model developed here can be useful for leaders and teams to identify weak areas of practice within the stage of the BPM lifecycle; it can be used as an assessment tool for companies currently conducting BPM projects or programs including ERP implementation. It can also provide a roadmap for companies intending to conduct BPM programs.

Most of the BPM literature focuses on specific aspects. This study proposes a different perspective by providing a model to assess BPM implementation in each stage of its lifecycle and at the same time considers practical aspects of implementation, principles of good practice, maturity factors and critical practices.

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.

Business process management (BPM) is a key concept in information systems (IS) research that helps to connect business strategy with the use of technology in an organization. Contemporary BPM research is no longer only about methods, procedures, or tools for managing or modeling processes but about assessing and developing BPM capability in organizations. For this purpose, a vast collection of maturity models has been designed by practitioners and scholars alike. Such models are used to assess the status quo and benchmark it against other organizations, and, most important, to guide the development of BPM capability. With this study, the paper challenges the maturity model perspective of such development models.

In this study, methods of qualitative IS research are employed to address the research objectives.

The paper shows that maturity model-based guidance would be inadequate. Instead, other concept-external factors resulting from organizational and environmental characteristics appear to be important indicators. The theory discussion introduces alternative takes on BPM capability development, lays out implications for BPM practice, and presents potentially fruitful paths for future research in the area of BPM capability development.

This paper challenges the current perspectives and contributes a new direction for conceptualizing BPM capability development.

The implied volatility surface is the collection of volatilities implied by option contracts for different strike prices and time-to-maturity. We study factor models to capture the dynamics of this three-dimensional implied volatility surface. Three model types are considered to examine desirable features for representing the surface and its dynamics: a general dynamic factor model, restricted factor models designed to capture the key features of the surface along the moneyness and maturity dimensions, and in-between spline-based methods. Key findings are that: (i) the restricted and spline-based models are both rejected against the general dynamic factor model, (ii) the factors driving the surface are highly persistent, and (iii) for the restricted models option Δ is preferred over the more often used strike relative to spot price as measure for moneyness.