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Fitman webinar 2015 06 Socio-Economic Impact Assessment Methodology

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A webinar on the Socio-Economic Impact Assessment Methodology developed in FITMAN project. This methodology has been developed to analyse and estimate the social and economic impacts of the FITMAN use case trials by adopting FIWARE technologies. Presented by Vegard Engen from the IT Innovation Centre, University of Southampton.

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Fitman webinar 2015 06 Socio-Economic Impact Assessment Methodology

  1. 1. Socio-Economic Impact Assessment (SEIA) FITMAN Webinar Vegard Engen, IT Innovation Centre ve@it-innovation.soton.ac.uk 16th June 2015 16/06/2015 (C) 2015 University of Southampton IT Innovation Centre 1
  2. 2. SEIA methodology Aims of the socio-economic impact assessment • Analyse and measure potential social and economic impacts of new technologies and business models – On the respective enterprise, its customers, suppliers and wider society – For each trial in FITMAN  scale up to industry level • Identify the potential long-term costs and benefits – For the different stakeholders (C) 2015 University of Southampton IT Innovation Centre 216/06/2015
  3. 3. SEIA Scope (C) 2015 University of Southampton IT Innovation Centre 3 FoF roadmap (mega trends): • Employment • Environmental impact • Economic growth People’s way of life Their environment Health and wellbeing Their community Publications Outreach Awareness creation Recommendations 16/06/2015
  4. 4. Three step SEIA methodology (C) 2015 University of Southampton IT Innovation Centre 416/06/2015
  5. 5. Three step SEIA methodology: step 1 (C) 2015 University of Southampton IT Innovation Centre 5 1: Outline the socio-economics of the manufacturing sub-sector 16/06/2015
  6. 6. Status quo, example stats • Bringing in stats, e.g., from EuroStat [1], such as: – Number of enterprises and turnover – Organisation sizes – Employment figures (broken down for organisation sizes, for example) • Information on the effect on the environment. – The sources for this would depend on the respective industry that is analysed. – Could be academic literature, government reports, etc. [1] http://ec.europa.eu/eurostat 16/06/2015 (C) 2015 University of Southampton IT Innovation Centre 6
  7. 7. Three step SEIA methodology: step 2 (C) 2015 University of Southampton IT Innovation Centre 7 2: Case study with new technology 16/06/2015
  8. 8. Example value network (C) 2015 University of Southampton IT Innovation Centre 816/06/2015
  9. 9. Example costs & benefits definition Actor Type Cost / benefit Related Performance Indicator (PI) Actor 1 Benefit Reduced project management overhead PI1: Average lead-time to perform, record and analyse test results. Actor 2 Cost Cost of system implementation None Actor 3 Benefit Reduced resource usage PI2: Average amount of resource used before and after change implementation. Society Benefit Reduced paper usage PI3: Average number of pages used in the test results recording, archival, etc. (C) 2015 University of Southampton IT Innovation Centre 916/06/2015
  10. 10. Three step SEIA methodology: step 3 (C) 2015 University of Southampton IT Innovation Centre 10 3: potential long-term benefits of technology take-up by the manufacturing sub-sector 16/06/2015
  11. 11. FoF 2020 roadmap  mega trends • Employment: Effect of technology on individual employees, staffing requirements of enterprise, health & safety, conditions of work, job satisfaction and staff training. • Environment: Direct or indirect effects of technology on the environment (e.g. improved energy efficiency, reduced waste, improved product development leading to more environmentally friendly products). • Economic Growth: Economic impact of the technologies for the whole manufacturing ecosystem (the enterprise itself, its suppliers, the wider manufacturing industry and the economy as a whole). 16/06/2015 (C) 2015 University of Southampton IT Innovation Centre 11
  12. 12. Application of SEIA methodology • Applied by 6 different partners in FITMAN • Successfully applied to 10 use case trials in the FITMAN project • Key challenges: – getting data from the organisation that is being analysed. In FITMAN, all organisations were external; thus confidentiality was an issue. – getting business-related measurements for quantifying impacts of the use of new technologies. (C) 2015 University of Southampton IT Innovation Centre 12 Actual results cannot be shared here due to confidentiality 16/06/2015
  13. 13. Questions? Contact: • Vegard Engen • ve@it-innovation.soton.ac.uk Survey: • https://www.isurvey.soton.ac.uk/16440 16/06/2015 (C) 2015 University of Southampton IT Innovation Centre 13

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