Gender diversity has been linked to positive business results. Yet limited data exist to characterize the gender landscape in health technology, a field that draws employees from both biomedical engineering and medicine. To better understand the state of gender diversity in this industry, we developed a survey to explore leadership representation and perceptions of workplace equality, job satisfaction, and work-life balance. Data from 400 + health technology professionals revealed that women are significantly underrepresented in senior leadership and that men and women experience the workplace differently. Men believe in greater numbers than females that senior leaders are focused on recruiting and promoting women, promotion criteria are equitable, and the major barrier to leadership roles for women is work/family balance. In contrast, women perceive a less meritocratic and inclusive workplace in which their ability to rise is hampered by exclusion from influential communication networks and stereotyping/bias. Perhaps as a result, more than one-third of female respondents are considering leaving their current jobs, citing dissatisfaction with management and a desire for greater advancement opportunities. This study highlights significant gender perception differences in health technology that require further study and proactive remediation for the field to fully realize the benefits of gender diversity.
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Looks at globalization in its broadest terms and in particular the author′s experiences with Electrolux as it faced the challenge of moving into the twenty‐first century. Examines in detail the company′s progress, through acquisitions, from the 1960s to the present day. Shows that the executive programme for middle managers aged 33‐43, is coming to fruition in many ways. The programme is multinational and multicultural. Electrolux intends to go on with the programme for the forseeable future, following its success.
BackgroundTypologies have been defined previously for pedestrian-vehicle interactions and are primarily based on retrospective analysis of crash data. The naturalistic driving study currently underway in Australia makes it possible to study pedestrian-vehicle interaction events that would not otherwise be identified in the crash data. This work evaluates the feasibility of using automated, manual, and semi-automated methods to identify pedestrian-vehicle interaction events.MethodsSensors and cameras were installed on the vehicles of volunteers in and around two major Australian cities which recorded their natural driving behaviour for 4 months. Forward video from select vehicles was reviewed independently by two reviewers to identify potential pedestrian-vehicle interaction events from which a typology of behaviours was formulated. These events served as the gold standard against which select automated and semi-automated methods of identification were assessed.ResultsA prototype typology of pedestrian-vehicle interaction events was formulated using naturalistic driving data and categorised in terms of risk of being struck. Some case scenarios will be discussed. The feasibility of using select automated, semi-automated, and manual methods to identify these events was also evaluated.ConclusionsThis work provides a first look at using Australian naturalistic driving data to study the interactions between vehicles and pedestrians. These findings will assist in the development of methods that can be used to most effectively answer research questions pertaining to interactions between vehicles and pedestrians as well as other vulnerable road users in the future.
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