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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.

Talent management (TM) is a crucial strategic issue for global organizations, extending beyond multinationals and big companies to encompass small and medium-sized enterprises (SMEs) and contexts outside the Anglo-Saxon sphere. However, TM in SMEs is still under-researched, with a lack of studies and evidence on TM determinants and TM in practice. This study explores, using the lens of institutional theory, how talent philosophies and a combination of institutional factors shape TM in French SMEs, highlighting the interplay between these elements within the specific context of French SMEs.

Given the limited knowledge about TM determinants in SMEs and the need to uncover and understand the phenomenon investigated, this study is exploratory in nature and lends itself to a qualitative research approach. In-depth semi-structured interviews with 27 CEOs, managers, TM and HR managers across 15 SMEs in France provided a comprehensive cross-industry perspective.

The study reveals that talent philosophies in French SMEs are predominantly inclusive and development-oriented, influenced by institutional factors such as the cultural logic of proximity and personalization, state support mechanisms like the Fonds Unique Interministériel (FUI) and legal frameworks that emphasize equal opportunity. Organizational elements like size and proximity foster a community-focused, egalitarian TM approach, while ownership and vulnerability lead to a reactive and informal TM strategy. The study presents a model that links these determinants to the specific TM approaches observed in French SMEs, illustrating how institutional factors like centralized control and egalitarianism shape TM practices.

This paper highlights the need for more empirical studies on talent philosophies, institutional and organizational factors not only in SMEs but also in comparison with multinational enterprises (MNEs), through institutional theory. Particular attention should be paid to the homogenization of SME sizes based on their level of establishment.

This study extends studies on TM determinants in SMEs, from the perspective of talent philosophies, utilizing insights from French institutional theory. It is also among the few and new studies to highlight contextual issues of TM as well as how TM is practiced depending on internal and external factors.

Criminological research, particularly in the Anglo-Saxon academic realm, has extensively examined the sharp increase in incarceration rates since the mid-1970s. Referred to as the “sociologies of the punitive turn” (Carrier, 2010), these studies argue that this surge reflects a sudden and harsh transformation in the logic governing penal practices and discourse. Some findings even suggest that this punitive shift has a global reach, impacting regions like Latin America. This broader narrative prompts an inquiry into whether a similar punitive turn occurred in Ecuador, a South American nation. Examination of prison demographics and legal frameworks in this country reveals a notable increase in incarceration rates during the 1990s, closely linked to drug trafficking control policies led by the United States. Consequently, I suggest that while the influence of neoliberal rationality, characteristic of the punitive turn, is evident, it’s more aptly described as a manifestation of punitive imperialism. Thus, it is imperative to analyze shifts in punishment trends within the framework of imperial dynamics, particularly considering the economic dependency of peripheral countries.

This study examines the impact of corporate social responsibility (CSR) on innovation, considering the role of the three dimensions of intellectual capital (human capital, structural capital and relational capital). Specifically, the analysis explores the direct effect of CSR and intellectual capital on innovation, the effect of CSR on intellectual capital, and the mediating effect of intellectual capital on the relationship between CSR and innovation.

Data were collected from a sample of 101 Tunisian firms operating in various industries. The conceptual model of direct and indirect effects was tested with partial least squares structural equation modelling (PLS-SEM) using SmartPLS 4 software.

CSR is positively related to innovation, as well as all dimensions of intellectual capital. Structural capital is the only dimension of intellectual capital that has a significant effect on innovation. CSR affects innovation through its impact on structural capital.

Most studies have examined the direct effect of CSR on innovation in firms in developed countries. In contrast, this research sheds light on the mediating role of intellectual capital in this relationship, underlining the specific role of human capital, relational capital and structural capital. In addition, the study focuses on a developing country, which thus differentiates it from previous studies.

The literature identifies the need to understand better the role of universities’ entrepreneurial orientation (EO), even while this remains an unexplored field. This study seeks to overcome this shortcoming and put forward empirical evidence on the EO of universities and it examines the moderating effects of networks, knowledge and trust, market orientation, and implementing sustainable development goals (SDGs) on the design and development of entrepreneurial universities.

To test the conceptual model, the authors used a sample of 125 questionnaires obtained from Portuguese higher education institutions, and it was deployed a structural equation model by a partial least squared as the estimation method.

The results show that the different dimensions of EO significantly influence the design and development of entrepreneurial universities. Furthermore, our findings show how market orientation and SDGs have moderating effects on the development of university entrepreneurship.

As for practical implications, the results point to the influence EO holds over entrepreneurial universities, and this causal relationship undergoes moderation by networks, knowledge and trust, market orientation and SDGs. As such, HEI rectors, deans and directors need to leverage these moderating effects, fostering human capital and universities’ active initiatives and policies to conceive and develop more entrepreneurial universities.

Our research model seeks to contribute to advancing studies on the EO of universities and assists in better understanding EO within the scope of influence of the third university mission as entrepreneurial institutions.

The main objective of this paper is to analyze how leadership unity (LU) within universities affects the innovativeness of faculty, with a focus on the potential moderating role of strategic sensitivity (SS).

The conceptual model of this research shows that SS and LU of the university impact the faculty's innovativeness. Meantime, the moderating effect of SS is assessed. A 49-item questionnaire was administered to 350 respondents who were managers and faculties of the university. The hierarchical regression technique was used for analyzing data and testing hypotheses.

The findings support both a curvilinear relationship based on a concave upward pattern and a linear relationship between LU in the university and the innovativeness of faculty. In addition, the university's SS positively influences the faculty's innovativeness. SS negatively moderates the curvilinear relationship between LU and faculty's innovativeness, i.e. the U-shaped effect exists only when the level of SS is high.

The results of this study shed new light on the relationships between LU and SS with innovativeness in the higher education landscape. It underlines the importance of SS as a moderator in the relationship between LU and innovativeness. This study was conducted in a developing country under sanctions with an Eastern culture, Iran. Thus, it is recommended that the conceptual framework of this study be tested in different countries with cultural diversity to generalize its findings.

Administrators of universities need to recognize that creating unity and cohesion among managers of various levels of the university is crucial. They should also be aware that responses to external changes can lead to new opportunities for the university. Embracing transformation within the organizational strategies of the university will have a significant influence on competition, politics, and internal operations.

This research contributes to the academic discussions on the importance of LU and SS and also the moderation effect of SS in driving and promoting innovativeness in among faculties by providing empirical evidence. The results present valuable insights for scholars, practitioners and policymakers seeking to understand innovativeness among faculties in the higher education setting.

Considering the influence of deformation error, the target poses must be corrected when compensating for positioning error but the efficiency of existing positioning error compensation algorithms needs to be improved. Therefore, the purpose of this study is to propose a high-efficiency positioning error compensation method to reduce the calculation time.

The corrected target poses are calculated. An improved back propagation (BP) neural network is used to establish the mapping relationship between the original and corrected target poses. After the BP neural network is trained, the corrected target poses can be calculated with short notice on the basis of the pose correction similarity.

Under given conditions, the calculation time when the trained BP neural network is used to predict the corrected target poses is only 1.15 s. Compared with the existing algorithm, this method reduces the calculation time of the target poses from the order of minutes to the order of seconds.

The proposed algorithm is more efficient while maintaining the accuracy of the error compensation.

This method can be used to quickly position the error compensation of a large parallel mechanism.

With the uptake of prefabricated construction (PC) facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation. However, the construction community has paid little attention to PC innovation, especially networked innovation. This study aims to gain deep insights into what impacts the formation and dynamics of a prefabricated construction innovation network (PCIN). With the uptake of PC facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. It first conceptualizes the PCIN based on the quadruple helix model and formulates a corresponding system dynamics model based on causality analysis. After validating the PCIN model using empirical data, simulations are carried out using Vensim PLE software. Finally, this study identifies key factors that promote the formation of PCIN in China through sensitivity analysis.

The results show that PC predicts a continuous increase in practice as of 2030. The tested drivers all positively influence the formation of the PCIN, with market demand and risk sharing having the greatest influence, followed by competitive pressure, profit government support, scientific and technological advancement and collaborative innovation strategy.

The study makes three major contributions. First, it provides a novel angle for a deeper understanding of the PC innovation. Second, it proposes a new approach for probing the formation and dynamics of the PCIN. Finally, it offers a theoretical reference for promoting the formation of innovation networks and the development of PC.

Universities strategically organize themselves around sustainability, including transformative goals in teaching and learning. Simultaneously, the role of online education has become more prominent. This study aims to better understand the purpose and process of creating online sustainability education (OSE) and to identify challenges and opportunities for implementing these courses and programs to achieve universities’ broader transformative sustainability goals.

This study uses a multiple case study design to research three universities in diverse geographical and institutional contexts (Finland, the USA and Colombia). Qualitative data was collected by interviewing program-related experts (n = 31) and reviews of universities’ strategic documents.

The findings suggest that despite important advances, further attention is merited regarding aligning the purpose of OSE with student learning outcomes, clarifying the values underlying the process of online program/course creation and developing transformative and process-oriented approaches and pedagogies to implement OSE. The authors also highlight emerging challenges and opportunities in online environments for sustainability education in different institutional contexts, including reaping the benefits of multilocality and diverse student experiences regarding sustainability issues.

There is a paucity of studies on university-level sustainability education in relation to online environments. This research expands on the existing literature by exploring three different geographical and institutional contexts and shedding light on the relationship between the practical implementation of OSE and universities’ broader sustainability goals.

This article presents a fuzzy cognitive map for the evaluation of innovation in organizations.

The purpose of this paper is to develop a model to evaluate the innovative capacity of organizations based on fuzzy cognitive maps (FCM), particularly for micro, small and medium-sized enterprises (MSMEs). The specification of the innovation evaluation model based on FCM was carried out with the “Intelligent Decision Support System” methodology. It is a six-step methodology: selection of experts, definition of concepts and relationships, model design, inference, interpretation and decision.

Our approach yielded good results in three case studies, effectively determining the level of innovation in an organization. The fuzzy cognitive maps demonstrated a high level of accuracy, with an accuracy of 82% in the Colombian case studies and 92% in the global case studies. These results highlight the effectiveness of the model for quantitatively assessing levels of innovation within organizations. Furthermore, the study revealed the most influential and essential innovative activities/variables within organizations, contributing significantly to the improvement of their operations and competitiveness.

It is important to automate the definition of the relationships between the concepts of the context and of our FCM. It is also possible to improve the behavior of the FCM by analyzing the variables with a greater impact on the level of innovation and very dynamic in the context since they are the variables to be observed in real-time to follow the evolution of the innovative behavior of an organization.

The study found that innovative activities emerged as an influential factor in organizations, essential to improving their operations and competitiveness. Our model can help in identifying areas that require improvement to impact positively organizations. By improving innovation assessment through the FCM model, organizations can anticipate higher profitability because innovations are often closely tied to revenue generation and cost savings. The tool can determine the necessity of new products or services, improve operational processes or enter new markets.

The previous results in the literature show that although there are relevant advances on this topic, there is not enough knowledge to provide clear guidelines for evaluating innovation and improving performance in an organization using intelligent systems. Also, previous works have not defined a framework for evaluating innovation in MSMEs based on FCMs. They also do not use the data of an organization to assess the key characteristics related to innovation. This work applies FCM to automate the evaluation of the process and the capacity for innovation in an organization. These are the main differences between our approach and previous studies.