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The purpose of this paper is to conceptualize job immobility concepts, e.g. staying in an unsatisfying job and perceiving limited opportunities to move and apply for another job. The existing literature on this situation of job immobility in which the employee is experiencing stuckness in the job is scattered across research domains, limited in scope and existing constructs are not clearly defined or operationalized.

In this conceptual paper, the authors propose the construct “locked at the job,” by reviewing and building on the job immobility literature and the theory of control and self-regulation.

This study defines the concept that consists of two dimensions as feeling dissatisfied in the current job and inactivity due to perceived limited job opportunities. This study proposes a conceptual model of antecedents and consequences of locked at the job, based on the person-environment fit theory.

This conceptual paper allows value to be added in practice by the conceptualization of locked at the job, in addition to providing a preview with respect to conceptual causes and consequences of this phenomenon.

Research on this job immobility phenomenon is scattered across different research domains, limited in scope and the concept has not been clearly defined or operationalized.

This study aims to estimate the value of the impact from digital transformation (DX) focusing on its automation effect, looking at the time and cost savings coming from the substitution effect with an adoption of digital technologies. For example, cloud and artificial intelligence technologies such as ChatGPT have the potential to change ways of working, substituting and replacing several of the tasks that are currently carried out by public administration (PA) employees and labor processes underpinning PA services.

The paper outlines a new framework to estimate the potential impact of DX on the public sector. The authors apply this framework to estimate the value of the impact of DX on the Italian PA, defining the latter by the collection of the value of its labor (i.e. PA workforce salaries) and by the collection of the value of its outputs (i.e. public services’ costs).

This study ultimately maps out the magnitude and trends of how likely the PA occupations and services could be substituted in a wider process of DX. To do this, the authors apply their framework to the Italian PA, and they triangulate secondary data collection, from official accounts of the Italian Ministry of Economics and the National Statistical Institute, with methodological antecedents from the UK Office for National Statistics and experts’ insights. Results provide a snapshot on the type and magnitude of PA jobs and services projected to be affected by automation over the next 10 years.

To the best of the authors’ knowledge, this paper provides for the first time an approach to estimate the value of the impact of DX on the public sector in a data-constrained environment – or in the lack of the required primary data. Once applied to the Italian PA, this approach provides a granular map of the automatability of each of the PA occupations and of the PA services. Finally, this paper mentions preliminary insights on potential challenges related to equity in public sector jobs and implications on recruitment processes.

Patient safety focuses on minimizing risks that might occur to patients during provision of healthcare. The purpose of this study was to explore healthcare practitioners’ attitudes towards patient safety inside different hospital settings in Jeddah, Kingdom of Saudi Arabia.

A descriptive, cross-sectional study was conducted on a sample of healthcare practitioners in main hospitals in Jeddah. Two main hospitals (one governmental and one private) were selected from each region of Jeddah (east, west, north and south), with a total number of eight out of thirty hospitals. Data were collected through the Attitudes to Patient Safety Questionnaire III that was distributed online. The questionnaire used a 5-point scale. Descriptive statistics were used. Comparisons were made by independent t-test and ANOVA. The statistical significance level was set at p < 0.05.

The study included 341 healthcare practitioners of different sexes and specialties in eight major governmental and private hospitals in Jeddah. “Working hours as error cause” subscale had the highest mean score (4.03 ± 0.89), while “Professional incompetence as error cause” had the lowest mean score (3.49 ± 0.97). The total questionnaire had a moderate average score (3.74 ± 0.63). Weak correlations between the average score of the questionnaire and sex, occupation and workplace were found (−0.119, −0.018 and −0.088, respectively).

Hospitals need to develop targeted interventions, including continuing professional development programs, to enhance patient safety culture and practices. Moreover, patient safety training is required at the undergraduate education level, which necessitates health professions education institutions to give more attention to patient safety education in their curricula.

The study contributed to the existing literature on patient safety culture in hospital settings in Jeddah, Saudi Arabia. The insights generated by the study can inform targeted interventions to enhance patient safety culture in hospitals and improve patient outcomes.

The purpose of this study is to investigate the extent to which a sample of the Australian cybersecurity industry is impacted by burnout.

Based on the review of the literature, this research investigates the following three hypotheses. Gender will significantly predict burnout scores. Those who identify as women will score higher on average than those who identify as men (because of being in a male-dominated industry). Self-reported burnout will differ across job roles. In addition, the authors expect these relationships to hold across the three dimensions of burnout, namely, emotional exhaustion, depersonalisation and professional efficacy. Sleep quality will be associated with burnout.

Gender and job role were significant predictors of emotional exhaustion, but not depersonalisation or professional efficacy. The interaction between gender and job role was also significant. Senior managers experienced poorer quality sleep, and poorer sleep quality was associated with greater reported emotional exhaustion at work. For emotional exhaustion, female respondents who worked in security consultant roles tended to score higher than their male counterparts.

Left unaddressed, the high level of workplace burnout may add to the well-being and retention problems developing within the cybersecurity community. These results indicate that organisations should look to measure the well-being of their own cyber workforce and implement meaningful changes if they wish to keep their cyber talent and enable them to thrive at work.

This research paper is an extension of a previous paper by the same authors which is titled “Is Your CISO Burnt Out Yet”. This paper examined the demographic differences in workplace burnout among cybersecurity professionals.

This study aims to support researchers and practitioners in finding suitable instruments for future research studies and organizational quality assessments.

Employees’ success of learning at work is strongly influenced by the quality of the workplace learning environment. In the recent decades growing effort has been given to the development of surveys to measure the quality of workplace learning, resulting in a large number of available survey instruments. This study conceptually draws on a 3-P model and uses a qualitative metasynthesis to collect and categorize n = 94 surveys that intend to measure the quality of workplace learning (WPL).

The results underline that research on WPL environments is a highly interdisciplinary endeavor, where every discipline enriches the field by a new perspective and own foci. Overall, this study finds a focus on learning culture and working conditions, on social and functional inclusion of the learner and on support and feedback during training. Products of WPL such as professional competences or career aspirations play a minor role.

With the integration of quality measurement instruments from various research studies, this study produces an interactive online instrument map that gives a broad, yet organized overview of available quality measures in the WPL field.

This study aims to analyse how the collective processing of the #MeToo legacy in the form of community discourses and activism conceptualises organisational accountability for sexual misconduct at work and enhances the development of new accountability instruments.

The study draws on social movement theory and the intellectual problematics of accountability, together with the empirical insights from two research engagement projects established and facilitated by the author.

The study reveals multiple dimensions of how post-#MeToo community activism impacted the conceptualisation of organisational accountability for sexual misconduct at work. The movement enhanced discourses prompting a new societal sense of accountability for sexual wrongdoings. This in turn facilitated public demands for accountability that pressured organisations to respond. The accountability crisis created an opportunity for community activists to influence understanding of organisational accountability for sexual misconduct at work and to propose new accountability instruments advancing harassment reporting technology, as well as an enhancing the behavioural consciousness and self-assessment of individuals.

The study addresses a topic of social importance in analysing how community activism arising from a social movement has transformed accountability demands and thus both advanced the conceptualisation of organisational accountability for sexual misconduct at work and established socially desirable practices for it. The study contributes to theory by revealing the emancipatory potential of community activism to influence organisational accountability practices and to propose new instruments at a moment of organisational hesitation and crisis of accountability.

This paper investigates the relationship of both technological (product and process) and non-technological (organizational and marketing) innovation with the gender wage gap at firms.

Using employer–employee level data from Estonia, the authors estimate Mincerian wage equations, in order to show how innovation at the firm level is associated with the gender wage gap. Next, the authors use propensity score matching (PSM) to study the effects of the movement of men and women into innovative firms, how this shapes the gender wage gap at firms.

The authors find that both technological and non-technological innovation are associated with a larger gender wage gap at firms. The relationship between innovation and the contemporaneous gender wage gap at firms reflects to a significant extent the different selection of men and women with different time-invariant characteristics to innovative firms. Further, the authors find that movement of men and women to work at innovative firms is in longer term associated with larger gains in wages for men. The authors also observe that the relationship of innovation with gender wage gap is stronger in the case of women with children.

Much of the prior analysis focuses on the effects of technological innovation on gender-related labour market outcomes. The authors show here that the relationship of innovation at firms with higher gender wage gap is not only specific to technological innovation, but is more general, and is observed across different types of innovation indicators, including non-technological innovation. This study's results suggest that the effects of innovation on gender wage gap may reflect to an extent the higher demand for flexibility of employees for work purposes at innovative firms, which may increase the gender wage gap, especially between men and women with children.

This study applies the job demands-resources model the conservation of resources theory to explain and examine the impacts of home-work conflict, perceived insufficient organizational support, and perceived social isolation, that is, work-from-home stressors, o

Data were collected from 418 Thai employees who worked from home during the nationwide lockdowns at two time points. The hypotheses were tested and analyzed by means of a confirmatory factor analysis, structural equation modeling, and a bootstrapping procedure.

The results indicate that the three work-from-home stressors significantly cause emotional exhaustion and that these stressors are negatively associated with job embeddedness and life satisfaction via the mediation of emotional exhaustion.

To reduce error in parameter estimation due to self-report data, future research could use a more rigorous longitudinal design with a longer time lag and collect data from multiple sources.

Realizing how critical situations shape the workplace would help organizations understand the issues concerning a remote work approach and create more applicable interventions to improve employees' retention and wellbeing.

This study reinforces the application of COR in times of crisis and extends the traditional JD-R model beyond the normal work context.