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An evidence-based approach to improving instructional practices and student outcomes in data use. It is a systematic process of evaluating and analysing learning problems, collecting and transforming various types of data into instructional decisions, and implementing informed actions to improve instruction and student learning. Since teachers are the main actors in instructional practices, this article reports on a study aimed at predicting the influence of various teachers’ characteristics on the degree of data use practices for instructional purposes.

In this study, we conducted a survey in a developing country to gather primary data. The collected data were analysed using a supervised machine learning approach, focussing on decision tree analysis, to determine the influential factors.

Our investigation identifies pedagogical knowledge, data literacy, content knowledge, knowledge of English for teaching and attitudes towards data as crucial determinants in predicting the intensity of such data use practices. Notably, pedagogical knowledge emerges as the most potent predictor, emphasising its pivotal role in shaping teachers’ frequency of instructional data use practices. Surprisingly, English proficiency does not exhibit a significant influence in this predictive model.

The findings may not be generalisable to a wider context since this study relied on a relatively small teacher self-reported sample collected through surveys, and, as this study used perception data, this may or may not reflect teachers’ actual knowledge and skills.

By spotlighting the nuanced interplay between teacher individual characteristics and the practice of data use for instructional improvement, this research contributes to a nuanced understanding of the factors shaping teachers’ engagement with data. Ultimately, it provides a foundation for targeted interventions and strategies aimed at fostering a culture of evidence-based practices to improve instruction and consequently student learning outcomes within educational settings.

This insight holds significant implications for policymakers, educational practitioners and providers of professional development programmes seeking to facilitate effective data use practices for instructional improvement.

By spotlighting the nuanced interplay between teacher individual characteristics and the practice of data use for instructional purposes, this research contributes to a nuanced understanding of the factors shaping teachers’ engagement with data. This study represents an empirical examination of such factors by employing a quantitative approach: a flexible decision tree analysis. This contributes to a growing body of research on factors related to teacher characteristics and much of the research in the field of data use has been done using a qualitative approach.

Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such interventions on student outcomes.

In this study, the authors employ a systematic literature review and meta-analysis to analyse teacher PDIs for data use.

The results suggest that conceptual, practical and continual goals are identified in data use PDIs. Supported by conceptual, practical or normative tools, facilitators employ a variety of techniques in facilitating teachers’ data use through data teams or professional learning communities. The facilitation techniques include assessing needs, using models or modelling, observing performance, providing feedback, providing built-in time for reflection and brokering. Further, the results highlight the influence of several conditions that contribute to the success of the interventions. Finally, the meta-analysis shows a significant positive effect of the interventions on student outcomes, with an effect size of 0.17.

The authors' proposed framework should be empirically tested and validated through field studies in various contexts. Since the authors focussed on studies reporting data use PDIs for instructional purposes as well as providing the descriptions of the PDIs, the number of included studies was only 27 and represented only four countries. Of the 27, 10 studies were used for the meta-analysis and the results may be subject to publication bias. Seemingly, the result may be related to the authors' inclusion/exclusion criteria that only included peer-reviewed journal articles and excluded non-peer-reviewed studies such as theses or dissertations. This criterion potentially neglected some relevant studies.

Policymakers interested in developing a data use PDI should take into account the various goals of data use PDIs, depending on policymakers' interests. Building teachers’ understanding of data use can be addressed by the practical goals. This can be conducted within a short period of time through training or courses, either in-person or online. This is appropriate for an initiation strategy for data use within schools. However, targeting specific skills and dispositional attributes around data use should adopt practical and continual goals. These types of goals require a PDI with a sustained duration embedded in teachers’ classroom practices; therefore, political and practical support is necessary.

The authors argue that the review findings contribute to knowledge and insights by presenting data use PDIs that support teacher learning, implementation and sustainability of data use practices.

This article provides a proposed framework for studying teacher PDIs for data use and sheds light on several goals, a variety of facilitation strategies and conditions and the effect of the interventions on student outcomes.

The purpose of the paper is to fill gaps in the existing fit and turnover intention (TI) literature by investigating a more comprehensive model, in which TI is proposed to be influenced by the interplays of three multidimensional types of fit including, person-organization (P-O) fit, person-group (P-G) fit, and person-job (P-J) fit.

Participants were selected from different specializations within Mansoura University medical centers, where each medical center was represented proportionately within the sample. Data were collected using self-administered questionnaires. Questionnaires were provided to 850 employees who agreed to participate. Of the 850 questionnaires distributed, 385 were valid and complete (n=385). Partial least squares analysis was utilized for the analyses.

Results showed that P-O fit, P-G fit, and P-J fit were positively related to each other and negatively related to TI. Furthermore, the negative relationship between P-O fit and TI is partially mediated by P-G fit and P-J fit.

The present study simultaneously examines the multidimensional effects of different fit perceptions on TI. In doing so, we identify which of the fit perspectives influence TI more intensely. Moreover, the authors advance current insights by investigating the mediating roles of P-G fit and P-J fit in the relationship between P-O fit and TI.

The PMI Risk Framework (PRF) is introduced as a guide to classifying and identifying risks which can be the source of post-merger integration (PMI) failure — commonly referred to as “culture clash.” To provide managers with actionably insight, PRF dissects PMI risk into specific relationship-oriented phenomena, critical to outcomes and which should be addressed during PMI. This framework is a conceptual and theory-grounded integration of numerous perspectives, such as organizational psychology, group dynamics, social networks, transformational change, and nonlinear dynamics. These concepts are unified and can be acted upon by integration managers. Literary resources for further exploration into the underlying aspects of the framework are provided. The PRF places emphasis on critical facets of PMI, particularly those which are relational in nature, pose an exceptionally high degree of risk, and are recurrent sources of PMI failure. The chapter delves into relationship-oriented points of failure that managers face when overseeing PMI by introducing a relationship-based, PMI risk framework. Managers are often not fully cognizant of these risks, thus fail to manage them judiciously. These risks do not naturally abide by common scholarly classifications and cross disciplinary boundaries; they do not go unrecognized by scholars, but until the introduction of PRF the risks have not been assimilated into a unifying framework. This chapter presents a model of PMI risk by differentiating and specifying numerous types of underlying human-relationship-oriented risks, rather than considering PMI cultural conflict as a monolithic construct.

The purpose of this paper is to investigate the impact of human resource management (HRM) practices on organizational commitment in Palestinian universities, and to examine the mediating effect of work engagement as a black-box mechanism that defines HRM practices–organizational commitment relationship.

The source of the data is from 237 employees (academics and administrative staff) from Palestinian universities. The authors used structural equation modeling to verify the hypotheses.

The results reveal that HRM practices have a significant impact on employee organizational commitment in higher education. In addition, work engagement showed a significant mediating effect between performance appraisal and organizational commitment on the one hand, and between rewards and compensation and organizational commitment on the other hand.

The study suggests university managers to capitalize on HRM practices as vehicle to trigger positive work-related attitudes.

The study contributes to the literature by examining the impact of HRM practices on organizational commitment through the mediation role of work engagement in higher education of a non-western context. The study is one of the few studies that is conducted in the middle east.

The present study aims to examine the mediating role of (in)voluntariness in teleworking in explaining the relationship between employees’ fit to telework and work well-being (i.e. work engagement and exhaustion).

A cross-sectional survey design was used in this study. The sample comprised 222 individuals performing telework in Portugal. Statistical analyses employed were descriptive statistics, Pearson’s correlation, confirmatory factor and structural equation analyses, and mediation analysis using Hayes Process macro.

The findings confirmed the hypothesis that employees’ fit to telework raises the voluntariness in telework and decreases involuntariness in telework. However, contrary to expectations, no significant relationships were found between voluntariness in telework, work engagement and exhaustion. Yet, involuntariness in telework showed a significant role in decreasing work engagement and increasing workers’ exhaustion. The mediating role of involuntariness in telework was confirmed in explaining the relationship between employees’ fit to telework and exhaustion.

Managers in global firms can draw from the results to understand how employees’ fit to telework directly and/or indirectly contributes to work well-being and develop human resource (HR) management practices aiming to increase employees’ fit to telework.

Although teleworking is already studied, to the best of the authors’ knowledge, no studies have analyzed the same conceptual model employees’ fit to telework, (in)voluntariness in teleworking and work well-being.

Sudden crises, known as environmental jolts, can cripple unprepared organizations. In recent years, financial jolts have led many organizations, particularly government organizations, to respond by furloughing employees. Furloughs can engender various responses in employees that can lead to negative work outcomes for both the employees and the organization. Previous research shows that the implementation of strategic human resource management (SHRM) practices, such as commitment-based systems, can mitigate the negative effects of environmental jolts. Utilizing the knowledge-based view and affective events theory, we propose a multilevel model where SHRM practices moderate employee affective responses to furloughs, which, in turn, drive subsequent employee behavioral outcomes.

This paper aims to compare job satisfaction in public and private sectors and the mediating role of several job demands and resources on the relationship between the employment sector and job satisfaction.

Drawing on the job demands-resources model, this study argued that differences in job satisfaction were explained largely by the job characteristics provided in each sector. Data comes from the quality of working life survey, a representative sample of 6,024 Spanish public and private employees.

This study revealed that public employees were more satisfied than private ones. This relationship was partially mediated by job demands and job resources, meaning that the public and private employment sectors provided different working conditions. Public employees, in general, had fewer demands and more job resources than private ones, which resulted in different levels of job satisfaction. Additionally, partial mediation indicated that public employees are more satisfied than private ones, despite accounting for several job demands and job resources.

While the findings of this study highlighted the relative importance of job demands and job resources in affecting job satisfaction of public and private employees, the generalizability of the results to other countries should be limited as the study only used data from a single country.

A significant portion of the positive effect on job satisfaction of public employees is channeled through the lower levels of routine work and lower number of required working hours and through better job resources such as higher salary, more telework, greater prospects at work and more training utility. To improve job satisfaction, it is apparent that managers should pay special attention to things such as routine work, working hours, training and telework.

This paper contributes to the comprehension of how several job demands and resources simultaneously play a mediating role in explaining the relationship between the employment sector and job satisfaction.

Este artículo compara la satisfacción laboral en los sectores público y privado y el papel mediador de varias demandas y recursos laborales en la relación entre el sector laboral y la satisfacción laboral.

Basándonos en el modelo Demandas del Trabajo-Recursos (JD-R), argumentamos que las diferencias en la satisfacción laboral se explican en gran medida por las características del trabajo que se ofrece en cada sector. Los datos proceden de la Encuesta de Calidad de Vida Laboral (ECVT), una muestra representativa de 6.024 empleados públicos y privados españoles.

El estudio reveló que los empleados públicos estaban más satisfechos que los privados. Esta relación estaba parcialmente mediada por las exigencias del trabajo y los recursos laborales, lo que significa que los sectores de empleo público y privado ofrecían condiciones de trabajo diferentes. Los empleados públicos, en general, tenían menos exigencias y más recursos laborales que los privados, lo que dio lugar a diferentes niveles de satisfacción laboral. Además, la mediación parcial indicó que los empleados públicos están más satisfechos que los privados, a pesar de tener en cuenta varias demandas y recursos laborales.

Si bien los resultados de este estudio ponen de manifiesto la importancia relativa de las exigencias y los recursos del puesto de trabajo a la hora de afectar a la satisfacción laboral de los empleados públicos y privados, la generalización de los resultados a otros países debería ser limitada, ya que el estudio sólo utilizó datos de un único país.

Una parte importante del efecto positivo sobre la satisfacción laboral de los empleados públicos se canaliza a través de los niveles más bajos de trabajo rutinario y el menor número de horas de trabajo exigidas y a través de mejores recursos laborales como un salario más alto, más teletrabajo, mayores perspectivas en el trabajo y más utilidad de la formación. Para mejorar la satisfacción laboral, es evidente que los directivos deben prestar especial atención a aspectos como el trabajo rutinario, el horario laboral, la formación y el teletrabajo.

Este artículo contribuye a la comprensión de cómo varias exigencias y recursos del trabajo desempeñan simultáneamente un papel mediador en la explicación de la relación entre el sector del empleo y la satisfacción laboral.

Este artigo compara a satisfação profissional nos sectores público e privado e o papel mediador de várias exigências e recursos de emprego na relação entre o sector do emprego e a satisfação profissional.

Com base no modelo Job Demands-Resources (JD-R), defendemos que as diferenças na satisfação no emprego eram em grande parte explicadas pelas características do emprego fornecidas em cada sector. Os dados provêm do Inquérito à Qualidade da Vida Profissional (QWLS), uma amostra representativa de 6.024 funcionários públicos e privados espanhóis.

O estudo revelou que os funcionários públicos estavam mais satisfeitos do que os privados. Esta relação foi parcialmente mediada por exigências e recursos de emprego, o que significa que os sectores público e privado de emprego proporcionavam condições de trabalho diferentes. Os funcionários públicos, em geral, tinham menos exigências e mais recursos de emprego do que os privados, o que resultou em diferentes níveis de satisfação no emprego. Além disso, a mediação parcial indicou que os funcionários públicos estão mais satisfeitos do que os privados, apesar de contabilizarem várias exigências de emprego e recursos laborais.

Embora os resultados deste estudo tenham salientado a importância relativa das exigências e dos recursos do emprego para a satisfação dos trabalhadores públicos e privados, a generalização dos resultados para outros países deve ser limitada, uma vez que o estudo apenas utilizou dados de um único país.

Uma parte significativa do efeito positivo na satisfação profissional dos funcionários públicos é canalizada através dos níveis mais baixos de trabalho de rotina e do menor número de horas de trabalho necessárias e através de melhores recursos laborais, tais como salários mais elevados, mais teletrabalho, maiores perspectivas no trabalho, e mais utilidade na formação. Para melhorar a satisfação profissional, é evidente que os gestores devem prestar especial atenção a coisas como o trabalho de rotina, horas de trabalho, formação, e teletrabalho.

Este artigo contribui para a compreensão de como várias exigências e recursos laborais desempenham simultaneamente um papel de mediação na explicação da relação entre o sector do emprego e a satisfação profissional.

The purpose of this paper is to examine the relationship between employer’s investments (through job characteristics and managerial support) and employees’ employment opportunities, with employability, conceptualized as perceived up-to-date expertise and willingness to change, as a mediating variable.

Hypotheses are tested using structural equation modeling on survey data collected from 1,626 employees of three Dutch hospitals.

Consistent with the hypotheses, the results indicate that job characteristics and managerial support are indirectly related to employees’ beliefs on employment opportunities, with the relationship mediated by up-to-date expertise and willingness to change. Further, managerial support is directly related to employees’ employment opportunities.

This paper shows that employers, by providing an attractive and challenging job in combination with adequate supervisory support, can enhance their employees’ employability and employment opportunities.

This paper contributes to the literature by elaborating a consistent conceptualization and measurement of employability, by incorporating as antecedents both job characteristics and managerial support, and by examining to what extent employability mediates between these antecedents and employment opportunities. Previous studies refer to the same definition of employability but conceptualize this in different ways, and focus on either job characteristics or managerial support, and so fail to provide a systematic and comprehensive examination.