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Pre ECIS Workshop: New Technologies, Organizations and Work

25 June 2018 at the 26th European Conference on Information Systems

23-28 June 2018, Portsmouth, United Kingdom (http://ecis2018.eu/)

This workshop is organised in collaboration with the UK Academy of Information Systems (https://www.ukais.org)

Workshop chairs:
Crispin Coombs Loughborough University, UK
Guy Fitzgerald Loughborough University, UK
Griffiths Marie University of Salford, UK

Overview of the workshop

Rapid developments in new technologies such as artificial intelligence, robotics and autonomous systems are having profound impacts on organisations and workers (Brynjolfsson & McAfee, 2016; Ford, 2015). These impacts may occur at the work-practice, organizational and supra- organizational levels (Günther, Mehrizi, Huysman, & Feldberg, 2017) and have contrasting outcomes for different stakeholders. For example, new technologies have the potential to augment and enhance worker behaviours and enrich job roles, but also to facilitate high levels of surveillance and control, performance monitoring, and the loss of jobs. The tensions between these possible outcomes have generated considerable debate in the academic press (Günther et al., 2017). However, much of the research underpinning these debates is conceptual in nature. This has led to calls for more empirical studies on organizations’ actual strategic decisions on the use of new technologies e.g. on the automation of work (Markus, 2017). This also presents an opportunity for IS researchers to bring together literatures from other academic disciplines (Loebbecke & Picot, 2015; Newell & Marabelli, 2015). Operating at the intersection of many scholarly disciplines, considering both social and technical perspectives, Information Systems (IS) researchers are ideally placed to assemble a cohesive understanding of this rapidly advancing research challenge.

The workshop invites short papers that consider these new technologies at the worker, organisation or supra-organisational levels. Example issues to consider may include (but are not limited to):

  •         Are there new methods for forecasting use or organisational impacts of new technologies?
  •         Can methods or tools be developed to help with understanding the potential purposes, markets and regions for new technologies?
  •         How can research in new technologies addressing grand challenges (e.g. sustainable food production, water and energy use)?
  •         Research methods relevant for complex and rapidly changing technologies
  •         Robot/human decision-making conflict? Do humans stay in the loop with AI informed decision making?
  •         The impacts of new technologies on skills (degradation or enhancement)
  •         Trust and ethical issues in new technology decision making e.g. can we trust robo-decisions for healthcare and financial decisions?
  •         Privacy and surveillance: are we still challenging these issues enough or has apathy replaced empathy?

The workshop particularly encourages empirical submissions but conceptual or viewpoint papers are also welcome. Paper submission is not required for attendance at the workshop.

Workshop format:

The workshop will take place over a full day. Participants will be invited to submit extended abstracts about their research (maximum 5 pages) related to new technologies, organisations and work. A combination of short presentations and topic table discussions will be used to facilitate the exchange of ideas.

This workshop will provide an opportunity for scholars to explore and debate these new and emerging technologies in the context of organisation and work. The workshop complements several tracks at ECIS (Big Data Analytics and Digital Transformation; Digital Transformation; Digital Organisation, Work and Beyond) and aligns directly with the socio-technical theme.

Workshop Timetable:

9:00-9:15            Welcome
9:15-10:30          Paper Session 1
10:30-10:45        Break
10:45-11:30        Keynote (tbc)
11:30-12:00        Topic Table Session 1 (3 parallel sessions)
12:00-13:00        Lunch
13:00-13:45        Topic Table Session 2 (3 parallel sessions)
13:45-15:00        Paper Session 2
15:00-15:15        Break
15:15-15:45        Group Discussion
15:45- 16.00       Closing Remarks
16.00                    Workshop ends

Important Dates:

- Deadline extension to 7 May 2018
- Notification of acceptance 14 May 2018:

Additional Details:

- Paper template available here

- At least one author of an accepted paper must register for the workshop. You can register for the workshop at  http://ecis2018.eu/about-2/registration/

Short papers should be e-mailed to c.r.coombs@lboro.ac.uk with the words ‘UKAIS ECIS workshop’ in the title.

Short papers will be available prior to the workshop.

Short paper submission is not required for attendance at the workshop.

Workshop Programme Committee

  •         Rachel McLean, Liverpool John Moores University
  •         David Wainwright, Northumbria University
  •         Laurence Brooks, DeMontfort University
  •         Maria Kutar. University of Salford
  •         Diana Limburg, Oxford Brookes University
  •         Gelareh Roushan, Bournemouth University
  •         Oliver Kayas, Manchester Metropolitan University
  •         Rob Campbell, University of Bolton
  •         Savvas Papagiannidis, Newcastle University
  •         Mareike Schoop, University of Hohenheim
  •         Patrick Buckley, University of Limerick
  •         Yu-Chun Pan, University of West London


Brynjolfsson, E., & McAfee, A. (2016). The Second Machine Age - Work, Progress, and Prosperity in a Time of Brilliant Technologies. WW Norton & Co.

Ford, M. (2015). Rise of the Robots: Technology and the Threat of Mass Unemployment. London: Oneworld Publications.

Günther, W. A., Mehrizi, M. H. R., Huysman, M., & Feldberg, F. (2017). Debating big data: A literature review on realizing value from big data. Journal of Strategic Information Systems, 26, 191–209. http://doi.org/10.1016/j.jsis.2017.07.003

Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. Journal of Strategic Information Systems, 24, 149–157. http://doi.org/10.1016/j.jsis.2015.08.002

Markus, M. L. (2017). Datification, Organizational Strategy, and IS Research_ What’s the Score? Journal of Strategic Information Systems, 26, 233–241. http://doi.org/10.1016/j.jsis.2017.08.003

Newell, S., & Marabelli, M. (2015). Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of “datification.” Journal of Strategic Information Systems, 24, 3–14. http://doi.org/10.1016/j.jsis.2015.02.001

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