Non-professional runners make extensive use of consumer-available wearable devices and smartphone apps to monitor training sessions, health, and physical performance. Despite the popularity of these products, they usually neglect subjective factors, such as psychosocial stress, unexpected daily physical (in)activity, sleep quality perception, and/or previous injuries. Consequently, the implementation of these products may lead to underperformance, reduced motivation, and running-related injuries. This paper investigates how the integration of subjective training, off-training, and contextual factors from a 24/7 perspective might lead to better individual screening and health protection methods for recreational runners. Using an online-based Ecological Momentary Assessment survey, a seven-day cohort study was conducted. Twenty participants answered daily surveys three times a day regarding subjective off-training and contextual data; e.g., health, sleep, stress, training, environment, physiology, and lifestyle factors. The results show that daily habits of people are unstructured, unlikely predictable, and influenced by factors, such as the demands of work, social life, leisure time, or sleep. By merging these factors with sensor-based data, running-related systems would be able to better assess the individual workload of recreational runners and support them to reduce their risk of suffering from running-related injuries
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The workforce in the EU is ageing, and this requires investment in older workers so that the organisations in which they work remain competitive and viable. One such investment takes the form of organising and facilitating intergenerational learning: learning between and among generations that can lead to lifelong learning, innovation and organisational development. However, successfully implementing intergenerational learning is complex and depends on various factors at different levels within the organisation. This multidisciplinary literature review encompasses work from the fields of cognitive psychology, occupational health, educational science, human resource development and organisational science and results in a framework that organisations can use to understand how they can create the conditions needed to ensure that the potential of their ageing workforce is tapped effectively and efficiently. Although not a comprehensive review, this chapter serves as a basis for further empirical research and gives practitioners an insight into solving a growing problem.
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IT organizations and CEO‟s are, and should be, concerned these days about the (lack of) data confidentiality and the usage of „shadow‟ IT systems by employees. Not only does the company risk monetary loss or public embarrassment, the senior management might also risk personal fines or even imprisonment. Several trends reinforce the attention for these subjects, including the fact that an increasing number of people perform parts of their work tasks from home (RSA, 2007) and the increasing bandwidth available to internet users which makes them rely on the Internet for satisfying their business and personal computing needs (Desisto et al. 2008). Employee compliance with the existing IT security policies is therefore essential. This paper presents a study on factors that influence non-compliance behavior of employees in organizations. The factors found in literature are tested in a survey study amongst employees of a big-four accountancy firm in the Netherlands and Belgium. The study concludes that stricter IT governance and cultural aspects are the most important factors influencing non-compliance behavior.
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