Search results

Research has shown that science, technology, engineering and mathematics (STEM) self-beliefs and enjoyment are critical factors for predicting female students’ persistence in STEM degrees and careers. Studies have shown the positive effects of informal STEM learning experiences on female students’ self-beliefs. However, with the rise of all-female STEM learning experiences, such as summer camps, considering the potential advantages and disadvantages of co-ed options is important. Further, prior STEM education research has focused on sex differences in students’ self-efficacy and STEM career interests. Our study aims to examine within sex differences in secondary, female students (n = 104) who attend either a co-ed STEM camp or a same-sex STEM camp.

To examine potential differences, we conducted independent sample t-tests.

Results of the study include statistically significant differences in mathematics and science self-efficacy as well as STEM career interest after participating in their respective camps.

Further, prior research in STEM education has focused on between sex differences in students’ self-efficacy and STEM career interest.

Our study investigates the role of the Human Resources Management (HRM) system strength in supporting Italian healthcare managers during times of uncertainty and change. The perceived HRM system strength and its relationship with managers’ taking charge behaviors, perceived procedural constraints, and work engagement were examined.

Two surveys were conducted to gather empirical data from a pooled sample of 121 healthcare managers located in hospitals across Italy. We use regression analysis to test our hypotheses.

The data show that strong HRM systems facilitate managers taking charge behaviors and work engagement. Additionally, the findings highlight the mitigating effect of a strong HRM system on procedural constraints, such as red tape, in public healthcare organizations.

Emphasizing the positive outcomes associated with strong HRM systems, the findings suggest that public health organizations should make efforts to put in place robust HR practices to bolster engagement and proactive behaviors among healthcare managers in times of uncertainty and change.

Analyzing a unique data set, the study extends the understanding of HRM system strength in the public sector, specifically in post-pandemic healthcare organizations. Overall, the study contributes to the growing literature on HRM system strength by offering novel insights into its nomological network.

The purpose of this review is to identify how health professionals perceive participation in implementation of new technology in healthcare organizations.

A qualitative systematic review based on the PRISMA diagram, was conducted using qualitative synthesis. NVivo software was used for thematic analysis. The searches were performed in PubMed, CINAHL and Scopus.

A total of 15 articles were included in the review, four themes describing how participation of health professionals in digital transformation affects the outcomes were identified, and three themes describing the factors that are necessary to promote participation. The underlying latent theme of an unmet desire to participate in the digital transformation was also identified in the analysis.

The digital transformation of healthcare is complex and faces many obstacles if not managed correctly. Professional participation in the implementation seems to be essential for success. Focus on increased resources and planning during early stages, as well as teamwork and ethical reflection is important addressing the challenges that professionals face in digital transformation of healthcare.

Since previous literature provides fragmented and conflicting results about the use of digital data for product innovation, the article aims to comprehensively explore and shed light on how agri-food firms utilise external and internal digital data sources when dealing with different product innovations, such as incremental, architecture and radical innovation.

This paper adopts an exploratory multiple-case study and a theory-building process, focussing on the agri-food industry. We collected primary and secondary data from eight manufacturing companies.

The findings of this research show an empirical framework of six agri-food firms’ digital data utilisation behaviours: the supervisor, the passive supervisor, the developer, the passive developer, the pathfinder and the conjunction behaviour. These digital data utilisation behaviours vary according to a combination of data sources, such as internal data related to inside phenomenon measures (e.g. data generated by sensors installed in the production plan) or external data (e.g., market trends, overall sector sales), and innovation purposes.

This article offers guiding principles that assist agri-food companies when utilising internal and external digital data sources for specific product innovation outcomes such as incremental, architectural and radical innovation.

The significance of external and internal data sources in stimulating product innovation has garnered substantial attention within academic discussions, highlighting the critical importance of analysing digital data for driving such innovation. Nonetheless, the predominant approach is to study a single innovation outcome through the lens of digital technology. In contrast, our study stands out by adopting a fundamental perspective on data sources, enabling a more nuanced explanation of the overall product innovation outcomes within the agri-food sector.