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The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education.

Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education.

The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process.

Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes.

This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.

Conventional quantitative research in the social sciences today is largely based on an understanding of analysis that is antithetical to configurational thinking. To analyze a phenomenon is to break it into its constituent parts and then to examine how the parts fit together, a two-step process. A common way of accomplishing the first step – breaking things into parts – is to conceptualize variables that can be used to characterize differences across cases.¹ In conventional quantitative research the second step – examining how the parts fit together – is accomplished primarily through various forms of cross-case analysis using correlational techniques (e.g., multiple regression). Thus, in conventional quantitative research, assessments of cross-case correlational patterns provide the primary basis for statements about how the parts of cases are connected to each other. Quantitatively oriented researchers studying organizations have produced an abundance of such studies, relating specific aspects of organizations to other aspects based on correlations observed across a set of comparable organizations.

While in everyday practice, school leaders are often involved in social relationships with a variety of stakeholders both within and outside their own schools, studies on school leaders’ networks often focus either on networks within or outside schools. The purpose of this paper is to investigate the extent to which principals occupy similar positions in their school’s network and the larger district network. In addition, the authors examined whether principals’ centrality in both networks can be attributed to demographic characteristics and transformational leadership (TL).

Using social network analysis, correlational and regression analysis, and an advanced social network technique, namely p2 modeling, the authors analyzed data collected among 708 educators in 46 Dutch elementary schools. The authors also offer a visualization of the district social network to explore principals’ relationships with other principals in the district.

Results suggest that principals who occupy a central position in their school’s advice network are also more likely to occupy a central position in their district’s collaborative leadership network. Moreover, TL was found to affect the extent to which principals are central in both networks.

The study is unique as it simultaneously explores principals’ social relationships in schools and the larger district. Moreover, the authors advance the knowledge of TL as a possible mechanism that may shape the pattern of these relationships, thereby connecting two streams of literature that were until now largely disconnected. Limitations to the study warrant further qualitative and longitudinal research on principals’ social relationships in schools, districts, and the larger community.

In the literature of mergers and social justice, equality is regarded as a crucial phenomenon to achieve social integration. This paper is based on the philosophy that during mergers and acquisitions (M&As), the employees who experience the equal distribution of resources, equal respect to each other’s policies and procedures, and fair and respectful interactions, are more likely to have a sense of control and lower social isolation and hence tend to get influenced positively by the M&A process. Thus, the purpose of this paper is to study the relationship between perceived organizational justice and employee feelings of alienation during post-M&As.

A cross-sectional survey research design has been used. This study was undertaken on a sample of 315 employees from five organizations in India. The quantitative data were subjected to univariate and bivariate analysis, while qualitative data were subjected to relational content analysis. Different dimensions of justice were studied in relation to the feelings of alienation using multiple correlational analysis and hierarchical regression analysis.

Multiple correlational analyses revealed significant negative correlation of perceived organizational justice and of all of its dimensions with all the dimensions of alienation. However, the results of the hierarchical regression analysis found interactional justice and distributive justice to be the major predictors of alienation during M&As. Apart from the quantitative analysis, qualitative analysis also revealed interesting insights, unique to the individual organization.

The study has significant value for both MNCs and researchers. This study has strong implications for the multinational corporations that are making inroads into M&As but consistently failing due to employee issues. This study also presents future directions to the researchers to explore more in the area of soft issues of M&As.

This empirical investigation studies the correlates and predictors of employees’ psychological outcomes during mergers and acquisitions (M&As) in the context of India. This study examined the role of different types of training initiatives (awareness training, human capital development training, and cross-cultural training) on building employees feeling of psychological empowerment and thriving. Further, second-order attitudes were studied in the form of employee satisfaction and commitment. A cross-sectional research design was adopted where quantitative and qualitative data were collected to investigate the interplay between the variables. Data were collected on an adapted standardized questionnaire from the employees of a public sector organization (N = 117) which had merged with a software company to deliver its IT services. Descriptive analysis, multiple correlational analysis, and stepwise regression analysis have assisted in exploring the different relationships amongst the variables. This study produces a prescriptive framework for merger success based on the model of growth and thriving (Spreitzer & Porath, 2012). Broadly, the results point towards the facilitative role of training in developing feelings of psychological empowerment, thriving, commitment and satisfaction with the merger, however qualitative data identified significant cultural undercurrents.

Reform efforts increasingly promote collaboration – admonishing principals to include both teachers and parents in democratic decision processes and encouraging teachers to work toward greater collaboration with their colleagues. The hypotheses that the level of collaboration was related to the level of trust was supported in bivariate correlational analyses. There was a significant link between collaboration with the principal and trust in the principal, collaboration with colleagues and trust in colleagues, and collaboration with parents and trust in parents. Canonical correlation reinforced the importance of trust in predicting the overall level of collaboration within a school. Among the set of trust variables, trust in clients was most influential in predicting the set of collaboration variables. Collaboration with parents was the most potent of the collaboration variables in this analysis. These finding argue for the importance of trust in nurturing collaborative relationships.

This study aims to identify and explore the factors affecting social entrepreneurial intentions considering an educational institution in Portugal. It also intends to determine the relevance of moderating factors in the antecedents and entrepreneurial intention of these students.

A panel of 177 undergraduate students enrolled in a social entrepreneurship course between the academic years 2018 and 2021 is considered. The data is explored quantitatively considering descriptive analysis techniques, correlational analysis and hypothesis testing.

The findings reveal that entrepreneurial intention depends on multiple individual, organizational and contextual dimensions. Students' entrepreneurial intention remains unchanged regardless of the student’s profile. However, students' professional experience is a more relevant factor for the identification of organizational dimensions related to curriculum and critical pedagogy, while previous involvement in volunteer activities contributes to a higher prevalence of individual factors.

To the best of the authors’ knowledge, this study is original in exploring the role of entrepreneurial intention and its antecedents considering a heterogeneous students' profile. It offers theoretical and practical contributions by extending the literature on social entrepreneurial intention that can be used by higher education institutions to offer specific training more focused on the student's profile.

The purpose of this study is to investigate the effects of the remote training process on distance learning with the application of neurometrics and investigate the features of the training that promote better synchronization between trainers and trainees in terms of cognitive and emotional processes favorable to learning, during a condition of remote professional training.

The authors proposed a hyperscanning paradigm together with a conversational analysis to assess remote online training by collecting neurophysiological measures (frequency band analysis: delta, theta, alpha and beta) via multiple wearable electroencephalograms (EEGs) during a session of remote training.

Results showed increased delta activity in the trainer when he was leading the session and when the participants were exchanging feedback. The delivery of feedback was also linked to increased theta activity compared with the normal activity of the trainees. Finally, synchronization of EEG between trainer and trainee groups was found for the beta band.

This study proposes to adopt a new multi-methodological approach that combines conversational analysis with the detection of remote neurometric parameters, in the field of educational neuroscience applied to organizational contexts.

Findings can help trainers in the development of their skills as trainers and in modeling remote training in organizations.

Findings highlight the crucial role of particular phases of the e-learning process, such as the feedback phase and the interaction trainer group, and they pointed out the relevance of neurophysiological measures to test the e-learning process.

This study aims to investigate the influence of social camouflaging on victimisation and offending in relation to autism and pathological demand avoidance (PDA) traits. Camouflaging aims to overcome or conceal difficulties in social and communication skills. Autistic individuals report camouflaging in response to threat and being verbally and physically assaulted when they have not camouflaged. Thus, camouflaging could be associated with victimisation. Camouflaging could also impact on specialist support available to an individual, potentially increasing the risk of victimisation or offending.

Cross-sectional study was conducted using 220 participants from the general population who completed online questionnaires measuring victimisation and offending, autism and PDA traits, camouflaging and symptoms of depression and anxiety.

Correlational analysis found positive associations between camouflaging and victimisation, and camouflaging and lifetime offending. Greater camouflaging and PDA traits predicted greater offending, whereas greater autism traits predicted fewer offending behaviours. While correlated, camouflaging was not significantly predictive of victimisation. Victimisation was predicted by symptoms of depression and PDA traits.

To the best of the authors’ knowledge, this study is the first to consider camouflaging as an influencing factor on offending and victimisation in autistic and PDA individuals.