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The concept of process maturity proposes that a process has a lifecycle that is assessed by the extent to which the process is explicitly defined, managed, measured and controlled. A maturity model assumes that progress towards goal achievement comes in stages. The supply chain maturity model presented in this paper is based on concepts developed by researchers over the past two decades. The Software Engineering Institute has also applied the concept of process maturity to the software development process in the form of the capability maturity model. This paper examines the relationship between supply chain management process maturity and performance, and provides a supply chain management process maturity model for enhanced supply chain performance.

Today, companies are struggling to develop their human resources analytics (HRA) capability, although interest in the subject is rapidly increasing. Furthermore, the academic literature on the subject is immature with limited practical guidance or comprehensive models that could support organisations in the development of their HRA capability. To address this issue, the aim of this paper is to provide a maturity model – i.e. HRAMM – and an interdependency matrix through which an organisation can (1) operationalise its HRA capability and assess its organisational maturity; (2) generate harmonious development roadmaps to improve its HRA capability; and (3) enable benchmarking and continuous improvement.

The research described in this paper is based on the popular methodology proposed by Becker et al. (2009) and the procedure for maturity evaluation developed by Gastaldi et al. (2018). This method combines academic rigour and field experience in analytics, in a process spanning eight main phases that involves literature reviews and knowledge creation techniques.

We define HRA maturity through four areas and 14 dimensions, providing a comprehensive model to operationalise HRA capability. Additionally, we argue that HRA maturity develops through an evolutionary path described in four discrete stages of maturity that go beyond traditional analytics sophistication. Lastly, the interdependency matrix reveals specific enablers for the development of HRA.

This paper provides practitioners with useful tools to monitor, evaluate and plan their HRA development path. Additionally, our research helps practitioners to prioritise their work and investment, generating an effective roadmap for developing and improving their HRA capability.

To the best of the authors’ knowledge, this study is the first to provide a model for evaluating the maturity of HRA capability plus an interdependency matrix to evaluate systematically the prerequisites and synergies among its constituting dimensions.

Smart libraries are the result of the application of smart technologies in the era of digital intelligence. The establishment and improvement of its service evaluation system serve as indicators for evaluating the growth of smart libraries.

This study introduces and improves the capability maturity model (CMM), creatively constructs a service maturity model specifically designed for smart libraries and combines the Delphi method with the analytic hierarchy process (AHP) to establish a service maturity evaluation system for smart libraries while calculating indicator weights. Finally, two representative smart libraries are selected as case studies, and an empirical application is conducted using the fuzzy comprehensive evaluation method.

The empirical study shows that the developed smart libraries service maturity evaluation system holds significant theoretical and practical value in evaluating smart libraries.

Enhances the CMM and creatively constructs a service maturity model for smart libraries. Combines the Delphi method with AHP to establish a service maturity evaluation system while calculating indicator weights. Uses a fuzzy comprehensive evaluation method to evaluate two representative smart libraries. Demonstrates that the smart library services maturity evaluation system holds significant theoretical and practical value.

Earned value management systems (EVMS), also called integrated project and program management systems, have been greatly examined in the literature, which has typically focused on their technical aspects rather than social. This study aims to hypothesize that improving both the technical maturity of EVMS and the social environment elements of EVMS applications together will significantly impact project performance outcomes. For the first time, empirical evidence supports a strong relationship between EVMS maturity and environment.

Data was collected from 35 projects through four workshops, attended by 31 industry practitioners with an average of 19 years of EVMS experience. These experts, representing 23 organizations, provided over 2,800 data points on sociotechnical integration and performance outcomes, covering projects totaling $21.8 billion. Statistical analyses were performed to derive findings on the impact of technical maturity and social environment on project success.

The results show statistically significant differences in cost growth, compliance, meeting project objectives and business drivers and customer satisfaction, between projects with high EVMS maturity and environment and projects with poor EVMS maturity and environment. Moreover, the technical and social dimensions were found to be significantly correlated.

Key contributions include a novel and tested performance-driven framework to support integrated project management using EVMS. The adoption of this detailed assessment framework by government and industry is driving a paradigm shift in project management of some of the largest and most complex projects in the U.S.; specifically transitioning from a project assessment based upon a binary approach for EVMS technical maturity (i.e. compliant/noncompliant to standards) to a wide-ranging scale (i.e. 0–1,000) across two dimensions.

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 paper takes Chinese A-share listed companies from 2007 to 2021 as research samples to investigate the influence of supplier concentration on debt maturity structure and its mechanism. It further analyzes whether the relationship between the two is different in the case of different monetary policies, collateral assets, and total debt. The research conclusion is of practical significance for enterprises to construct a balanced debt maturity structure and prevent financial risks.

This paper adopts the empirical research method. The data came from the CSMAR database, which eliminated ST and *ST and companies with missing data, resulting in a sample of 20,328. Stata16 was used for statistical analysis.

There is an inverted U-shaped relationship between supplier concentration and debt maturity structure, and market position and trade credit play an intermediary role. In the case of tight monetary policy, fewer collateral assets, and higher total debt, the inverse U-shaped relationship is more significant.

This paper examines the relationship between supplier concentration and debt maturity structure from a non-linear perspective for the first time, providing theoretical support for enterprises to form a reasonable debt structure, and deepening the theoretical cognition of the relationship between supplier concentration and corporate debt maturity structure.

The current research aims to investigate the relationship between supply chain (SC) processes maturity and SC performance in the context of an emerging market (i.e. Morocco). Based on the SCOR model, the authors propose and test a thorough conceptual framework in which information systems moderates the relationship between SC processes maturity and performance. The effects of firm age and size are also taken into account.

Based on data collected from 175 top and middle managers using self-administered questionnaires, the authors empirically assessed the conceptual model using a partial least squares (PLS) estimation.

The study's findings demonstrate that SC processes maturity has a significant effect on SC performance. Second, information systems act as a moderator in the relationship between SC maturity and performance, e.g. the impact of supply chain processes maturity on supply chain performance measures is stronger in the presence of information systems support. Ultimately, firm size and age were found to have no significant impact on supply chain performance.

The study's findings help SC managers to better understand how SC maturity contributes to SC performance. A firm effectively executing maturity factors in its SC processes is more likely to achieve a better SC performance. The authors also established the key role of information systems in strengthening the impact of SC maturity on performance. SC managers should capitalize on the use of information systems to achieve superior SC performance.

The present research bridges a gap pertaining to the impact of supply chain maturity on SC performance, particularly in emerging markets. It is the first of its kind to investigate the influence of SC maturity on SC performance the context of emerging markets.

This study aims to develop a maturity model designed for assessing the current state of digitization in accounting firms.

The authors have developed this index where the maturity levels are defined from the life cycle theory. For the items of a maturity measure, the authors have adopted a multimethodological approach. That approach allows to identify 27 measurement items to cover the three dimensions of audit, reporting and taxation.

This research proposes a diagnostic tool specific to accounting firms. The authors have tested this index in the Tunisian context. The results show that there are two types of accounting firms. This study found the first firm in the embryonic phase and the other in the growth phase. This points out the active role of Tunisian accounting firms in technology integration.

This study highlights the integration of technology in the accounting field. Specifically, it aims to address technology management in accounting firms by measuring the degree of digitization of accounting firms. This research projects the use of information technologies (artificial intelligence, cloud, big data, etc.) in auditing, reporting and taxation.

On a practical level, this research provides an organizational diagnostic tool to assess the status of their accounting firms in terms of digitization. This will motivate practitioners to make frequent assessments, thus contributing to continuous improvement toward digitization.

The theoretical foundation of this research is based on the theory of the life cycle of technologies. This study is using this theory to identify and describe the current phase of the organization. And that is by indicating the overall scores on the technological capabilities of the accounting firms.

This research aims to revisit Gul and Goodwin (2010), which focuses on exploring the relationship between debt maturity structure, credit ratings and audit fees. Furthermore, the authors investigate whether this association varies based on firm size, firm life cycle and financial reporting quality.

To investigate the research question, the authors use an extended sample period, 2004–2017, in comparison to the sample period, 2003–2006, used in Gul and Goodwin (2010). The authors use ordinary least squares regression as a baseline methodology along with two-stage least-squares regression and change analysis to control for endogeneity concerns.

According to Gul and Goodwin (2010), auditors charge lower audit fees for firms with higher short-maturity debt and better credit ratings, indicating a lower likelihood of financial misreporting. Further, Gul and Goodwin (2010) find that lower credit rated firms benefit more from short-term debt. Primarily, the findings are consistent with Gul and Goodwin (2010) and provide further evidence that the beneficial effects of short-maturity debt for firms with poor ratings are evident for small firms, firms in the growth stage of their life cycle and firms with poor earnings quality.

The findings imply that practitioners in the audit profession and investors should take a more nuanced and comprehensive approach to varied firm and financial factors, taking into consideration the intricate relationships between many elements impacting a firm’s financial health. As a result, audit professionals may give more accurate appraisals of a firm’s financial condition, and investors can make better investment decisions.

The authors reconfirm the findings of Gul and Goodwin (2010) using an extended sample. The findings are novel, which evidence that the lower audit fees for rated firms with short-maturity debt are moderated by firm size, life cycle and financial reporting quality.

Despite the multitude of publications concerning the process maturity assessment models applied in the private sector, the matter of the choice of a process maturity assessment model is not so unambiguous in the public sector. The goal of this article is to identify process maturity assessment models applicable to the public sector.

Literature review, enabling identification of process maturity assessment models applicable to the public sector. Comparative analysis, making it possible to identify the advantages and disadvantages of the selected maturity assessment models.

Models enabling assessment of process maturity and e-government maturity applicable to the public sector have been identified. Potential benefits and limitations specific to the analysed models have been established.

The publication indicates which process maturity assessment models can be successfully applied in the public sector. As such, it provides important support for the public sector in the decision-making process concerning the choice and implementation of a specific process maturity assessment model.

This is one of the few study which refers to a comprehensive review and analysis of process maturity assessment models applicable to the public sector. As the relevant contribution, it clarifies the relationships and differences between process and e-government maturity assessment models. This study provides important aid to both practitioners and theorists in terms of the selection of a process maturity assessment model against specific research needs.