Purpose – In many organizations, a major part of the daily activities is perceived as concentrated work (53% in this study). Hence, a lack of privacy at the workplace may be considered as a serious environmental stressor. Activity-based work environments usually provide non-assigned private rooms, to be used on an as-need basis. Is this an effective stress management solution?Design/Methodology – Repeated measurements were collected, using a mobile application. Respondents provided data about their activities, the workplaces they used, and the degree of job strain they experienced. They also filled out a questionnaire regarding psychological and job characteristics.Results – A total of 3480 measurements was provided by 114 respondents, working at a Dutch public service organisation. The availability of private rooms did not seem to provide an effective stress management solution. Only 17% of the concentrated work was indeed performed in these rooms. When other types of workplaces were used, this caused (strong) dissatisfaction in 40% of the occasions. This dissatisfaction correlated with individual differences regarding need for privacy (p = .026).Limitations – Because only one specific organization and work environment is studied, further research is needed to test the generalizability of our findings.Research/Practical Implications – When performing concentrated work, people often choose not to use a private room, despite their dissatisfaction. Further research should focus on explaining and possibly influencing this behaviour.Originality/Value – Repeatedly measuring activity type together with workplace type and workplace satisfaction, provides a solid basis to analyse behavioural patterns and environmental stressors within activity-based work environments.
DOCUMENT
Dit onderzoek wordt uitgevoerd binnen de onderzoekslijn Studentenwelzijn van het lectoraat Studiesucces. Onderzoek op het gebied van studentenwelzijn in Nederland is nog beperkt. Een van de doelen van de onderzoekslijn is daarom een bijdrage te leveren aan (praktijkgerichte) kennis over het welzijn van studenten. Dit onderzoek heeft als doel daar aan bij te dragen door 1) de stresservaring van studenten binnen Hogeschool Inholland te onderzoeken, 2) in kaart te brengen wat studenten helpt om met stress om te gaan, en 3) te onderzoeken wanneer studenten zich bevlogen voelen. Tevens is dit onderzoek een verkenning van de variabelen van het Student Wellbeing Model. De onderzoeksuitkomsten dienen aanknopingspunten te bieden voor vervolgonderzoek naar het welzijn van studenten in relatie tot studiesucces. Ten slotte, de inzichten die verkregen worden dienen uiteindelijk bij te dragen aan het tegengaan van een hoge mate van stress (en andere gerelateerde psychische klachten) bij studenten en aan het bevorderen van het welzijn van studenten.
DOCUMENT
Stress is increasingly being recognized as one of the main factors that is negatively affecting our health, and therefore there is a need to regulate daily stress and prevent long-term stress. This need seems particularly important for adults with mild intellectual disabilities (MID) who have been shown to have more difficulties coping with stress than adults without intellectual disabilities. Hence, the development of music therapy interventions for stress reduction, particularly within populations where needs may be greater, is becoming increasingly important. In order to gain more insight into the practice-based knowledge on how music therapists lower stress levels of their patients with MID during music therapy sessions, we conducted focus group interviews with music therapists working with adults with MID (N = 13) from different countries and clinical institutions in Europe. Results provide an overview of the most-used interventions for stress reduction within and outside of music. Data-analysis resulted in the further specification of therapeutic goals, intervention techniques, the use of musical instruments, and related therapeutic change factors. The main findings indicate that music therapists used little to no receptive (e.g., music listening) interventions for stress reduction, but preferred to use active interventions, which were mainly based on musical improvisation. Results show that three therapy goals for stress relief could be distinguished. The goal of “synchronizing” can be seen as a sub goal because it often precedes working on the other two goals of “tension release” or “direct relaxation,” which can also be seen as two ways of reaching stress reduction in adults with MID through music therapy interventions. Furthermore, the tempo and the dynamics of the music are considered as the most important musical components to reduce stress in adults with MID. Practical implications for stress-reducing music therapy interventions for adults with MID are discussed as well as recommendations for future research.
DOCUMENT
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
Motivatie Het versterken van de samenwerking tussen relevante lectoraten door het ontwikkelen van een multidisciplinaire onderzoeksagenda op het terrein van Arbeid in de brede zin van het woord. Hierdoor kan de thematiek rondom toegang tot en behoud van arbeid vanuit meerdere kanten worden aangevlogen én kan focus en massa worden gecreëerd voor onderzoeksprogrammering en –funding. Daardoor kunnen we als lectoraten een belangrijke rol te spelen bij vraagstukken die betrekking hebben op het duurzaam (weer) aan het werk gaan én duurzaam aan het werk blijven. Achtergrond Om als individu zelfstandig en volwaardig te kunnen deelnemen aan onze participatiemaatschappij, is het hebben van werk cruciaal. Werk is echter voor mensen met minder of onvoldoende arbeids-, persoonlijk-, sociaal-, en cultureel kapitaal en/of toegang tot hulpbronnen steeds minder vanzelfsprekend. Naast traditioneel kwetsbare groepen – zoals laagopgeleiden, mensen met een chronische aandoening en migranten - zijn er nieuwe categorieën, waaronder veel middelbaar en hoog opgeleiden, voor wie het lastig is/wordt structureel betaald werk te vinden. De oorzaak ligt voornamelijk bij de toenemende digitalisering en robotisering in combinatie met de flexibilisering van de arbeidsmarkt. Ook werk op academisch niveau, dat gebaseerd is op regels, bijvoorbeeld accountancy en rechtspraak, zal steeds vaker (deels) geautomatiseerd kunnen worden (Est et al. 2015, Went et al. 2015). Anderzijds zijn er sectoren, zoals techniek en ICT, die een steeds grotere behoefte hebben aan hoogopgeleid personeel en waar het lastig is om voldoende gekwalificeerde mensen te krijgen. Tot slot zien we in alle sectoren een toename van stress- en burn-out klachten, die deels gerelateerd zijn aan traditionele, functioneel ingerichte organisaties. Het bovenstaande biedt geen rooskleurig beeld voor grote groepen in de samenleving en vanuit een breed Platform Arbeid willen we de thema’s op het terrein van arbeid vanuit meerdere perspectieven benaderen en in samenhang beschouwen.
Production processes can be made ‘smarter’ by exploiting the data streams that are generated by the machines that are used in production. In particular these data streams can be mined to build a model of the production process as it was really executed – as opposed to how it was envisioned. This model can subsequently be analyzed and stress-tested to explore possible causes of production prob-lems and to analyze what-if scenarios, without disrupting the production process itself. It has been shown that such models can successfully be used to diagnose possible causes of production problems, including scrap products and machine defects. Ideally, they can even be used to model and analyze production processes that have not been implemented yet, based on data from existing production pro-cesses and techniques from artificial intelligence that can predict how the new process is likely to be-have in practice in terms of data that its machines generate. This is especially important in mass cus-tomization processes, where the process to create each product may be unique, and can only feasibly be tested using model- and data-driven techniques like the one proposed in this project. Against this background, the goal of this project is to develop a method and toolkit for mining, mod-elling and analyzing production processes, using the time series data that is generated by machines, to: (i) analyze the performance of an existing production process; (ii) diagnose causes of production prob-lems; and (iii) certify that a new – not yet implemented – production process leads to high-quality products. The method is developed by researching and combining techniques from the area of Artificial Intelli-gence with techniques from Operations Research. In particular, it uses: process mining to relate time series data to production processes; queueing networks to determine likely paths through the produc-tion processes and detect anomalies that may be the cause of production problems; and generative adversarial networks to generate likely future production scenarios and sample scenarios of production problems for diagnostic purposes. The techniques will be evaluated and adapted in implementations at the partners from industry, using a design science approach. In particular, implementations of the method are made for: explaining production problems; explaining machine defects; and certifying the correct operation of new production processes.
