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)
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):
The workshop particularly encourages empirical submissions but conceptual or viewpoint papers are also welcome. Paper submission is not required for attendance at the workshop.
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.
9:15-10:30 Paper Session 1
10:45-11:30 Keynote (tbc)
11:30-12:00 Topic Table Session 1 (3 parallel sessions)
13:00-13:45 Topic Table Session 2 (3 parallel sessions)
13:45-15:00 Paper Session 2
15:15-15:45 Group Discussion
15:45- 16.00 Closing Remarks
16.00 Workshop ends
- Deadline extension to 7 May 2018
- Notification of acceptance 14 May 2018:
- 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 firstname.lastname@example.org 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
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