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Ravalier PhD Theis.pdf - Anglia Ruskin Research Online

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301<br />

employees spread across six ‘Services’. The present study took place within one of the six service areas, Service 6,<br />

which comprised approximately 181 employees spread over a number of sites at the time of data collection. The<br />

majority of sites are situated in one borough within the East of England, with approximately 40 further employees<br />

spread over three sites approximately 20 miles away from the majority. The individuals who work some distance<br />

from the main ‘Hub’ of the organisation had a distinctive stressor facing them on a daily basis. They felt a distance<br />

from the main organisation, with the issue due to two main problems: a perceived lack of management support<br />

due to a lack of management attendance in the separated sites, and the geographical distance meaning these<br />

employees cannot interact with others at corporate functions etc which are all held at the main town within which<br />

the organisation operates.<br />

2c) <strong>Research</strong> Question 3<br />

“Can an AI methodology be used to design feasible psychosocial stress interventions for the<br />

improvement of daily hassles within a local borough council organisation”<br />

This third research question is designed to assess the suitability of utilising the AI research process in the<br />

design and assessment of organisational interventions as designed to improve upon the experience of daily hassles<br />

within the participating organisation. AI is an empowering, participant-led methodology which allows employees as<br />

participants to come up with change interventions via the use of positive discourse (see Chapter VI, section 1b).<br />

The presented thesis utilised an Appreciative Inquiry methodology in order to assess, design and implement<br />

interventions to improve upon the experience of daily hassles as evidenced by employees of a public-sector

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