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*Business Analytics for the Management of Information Systems
Development*
*Special Issue Guest Editors*
Denis Dennehy, National University of Ireland Galway, Ireland
Email:
denis.dennehy@nuigalway.ie<mailto:denis.dennehy@nuigalway.ie>
Ilias Pappas, University of Agder, Norway
Email:
ilias.pappas@uia.no<mailto:ilias.pappas@uia.no>
Samuel Fosso Wamba, Toulouse Business School, France
Email:
s.fosso-wamba@tbs-education.fr<mailto:s.fosso-wamba@tbs-education.fr>
Katina Michael, Arizona State University, USA
Email:
katina.michael@asu.edu<mailto:katina@uow.edu.au>
*Overview of Special Issue*
Information Systems Development (ISD) has been part of the
intellectual core of information systems for over 40 years (Obrand
et al., 2018; Sidorova et al., 2008). Its chequered history of
successes and failures has, however, been an ongoing concern of
the IS research community (Dwivedi et al., 2015; Hassan &
Mathiassen, 2017). Despite efforts to improve the management of
ISD projects, these efforts have not had the desired effect (Lim
et al., 2011).
There is anecdotal evidence that business analytics can help
project managers to (i) understand the dynamics and collective
state of complex projects, (ii) detect and forecast trends, (iii)
improve the effectiveness of risk models, (iv) evaluate the
effectiveness of a change to the development process, and (v)
distinguish questions of ‘information’ from questions of ‘insight’
(Davenport et al., 2010).
Business analytics are frequently referred to as ‘the techniques,
technologies, systems, practices, methodologies, and applications
that analyse critical business data to help an enterprise better
understand its business and market and make timely decisions’
(Chen et al., 2012, p.1166). Yet, much of the research conducted
to date has focused on the technologies of business analytics and
not enough on the people and their organisational context in which
such technologies are intended to be used (Abbasi et al, 2017;
Conboy et al., 2018; Mikalef et al., 2019). This is a significant
limitation given that the ISD environment is a highly metric
oriented, complex, and socially embedded activity that is
continuously changing (Conboy, 2009; Kudaravalli et al., 2017;
Windeler et al., 2017).
This special issue seeks to collect contemporary research on the
latest developments and challenges of how organisations exploit
business analytics to support project/portfolio managers, project
teams, and other project stakeholders.
*Indicative List of Anticipated Themes*
This special issue seeks a wide range of articles that draw on
diverse project settings, theories, and approaches to understand
the different aspects of business analytics as applied to the
context of ISD. The following questions are of interest for the
special issue:
• How can business analytics be used to better understand and
manage ISD projects?
• What value does business analytics provide to ISD management and
development teams?
• What tensions arise from the integration of business analytics
with traditional and agile methods and practices?
• What are the emerging best practices that enable business
analytics to be embedded within the ISD process and the wider
organisation?
• Does the deployment of business analytics make existing agile
methods and practices less valuable or even obsolete?
• What new metrics and standards can business analytics provide to
manage and control ISD projects more effectively?
• How can business analytics enable organisational learning and
innovation in the context of ISD?
• How are business analytics being applied in various types
(distributed, large scale) of ISD projects?
• How can business analytics support the scaling of ISD projects?
• What are the change management and organisational cultural
issues that need to be considered when developing analytical
capabilities?
• How can business analytics provide new ways of working in ISD
projects?
• What ethical issues stem from the use of business analytics in
ISD projects?
• How can business analytics be used to support more effective
decision making?
• What are the new theories and theoretical developments to
explain the implementation and use of business analytics in ISD
projects?
These questions are not intended to be exhaustive. Rather they are
intended to stimulate thinking about the role of business
analytics in the management of ISD projects across various levels
of analysis - from participants in individual projects through
projects, programs, portfolios, organisations, and the wider
society. We welcome submissions that address questions pertaining
to all aspects of the intersection of business analytics and ISD
project management.
*Important Dates:*
*Paper Development Workshop (ECIS 2020)*
• Submission of extended abstracts commences 1st February 2020 and
ends midnight (CET) 31st March 2020
• Authors will be notified of decision by mid-April 2020
• Paper Development Workshop: 14th June 2020
*IT & People Special Issue:*
• Initial paper submission deadline: 30th September, 2020
• First round authors notification: 30th November, 2020
• Invited revisions deadline: 31st January, 2021
• Second round authors notification: 31st March, 2021
• Final revision deadline: 31st May, 2021
• Final authors notification: 30th June 2021
• Projected publication date: Winter 2021
*Paper Development Workshop*
Only invited authors can attend this workshop. Authors will have
the opportunity to present their extended abstracts and receive
feedback on how best to develop their article for submission to
the special issue with Information Technology & People.
Extended abstracts (1,500 - 3,000 words) must use the ECIS 2020
(completed research) paper template. This word limit does not
include references, tables, or figures. There is no specific
structure but the extended abstract must address the following:
• What is the theoretical lens of your research and how does this
theory help us to better understand the nature of the research
phenomenon?
• What are the specific contributions that your research will make
to academia and practice?
• What are the intended implications of your research for academia
and practice?
We welcome studies using the range of investigative methodologies
qualitative and quantitative, case study, with data collected by
survey, interview, observation, analytic analysis. Technical
papers and systematic literature reviews are not within the scope
of this special issue. If you have any further questions, please
consult any of the guest editors.
Submission of extended abstracts in PDF format is via EasyChair
(
https://easychair.org/conferences/?conf=specialissue-itpeopl).
Submission of full papers in PDF format is via Manuscript Central
(
http://mc.manuscriptcentral.com/itp). While there is no guarantee
that work presented at the workshop will be published in the
special issue, it is expected that some will eventually be
published in IT & People, once further developed. It is
possible to submit a full paper without having submitted an
extended abstract but we advise submitting an extended abstract.
*References*
Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big data research
in information systems: Toward an inclusive research agenda.
Journal of the Association for Information Systems, 17(2), p.I.
Conboy, K., Dennehy, D., & O'Connor, M. (2018). ‘Big time’: An
examination of temporal complexity and business value in
analytics. Information & Management.
Conboy, K., 2009. Agility from first principles: Reconstructing
the concept of agility in information systems development.
Information Systems Research, 20(3), pp.329-354.
Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business
intelligence and analytics: From big data to big impact. MIS
Quarterly, 36(4).
Davenport, T.H., Harris, J. and Shapiro, J., 2010. Competing on
talent analytics. Harvard Business Review, 88(10), pp.52-58.
Dwivedi, Y.K., Wastell, D., Laumer, S., Henriksen, H.Z., Myers,
M.D., Bunker, D., Elbanna, A., Ravishankar, M.N. and Srivastava,
S.C., 2015. Research on information systems failures and
successes: Status update and future directions. Information
Systems Frontiers, 17(1), pp.143-157.
Hassan, N.R. and Mathiassen, L., 2018. Distilling a body of
knowledge for information systems development. Information Systems
Journal, 28(1), pp.175-226.
Kudaravalli, S., Faraj, S. and Johnson, S.L., 2017. A Configural
Approach to Coordinating Expertise in Software Development Teams.
MIS Quarterly, 41(1).
Lim, E.P., Chen, H. and Chen, G., 2013. Business intelligence and
analytics: Research directions. ACM Transactions on Management
Information Systems (TMIS), 3(4), p.17.
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019).
Big data analytics capabilities and innovation: the mediating role
of dynamic capabilities and moderating effect of the environment.
British Journal of Management, 30(2), 272-298.
Sidorova, A., Evangelopoulos, N., Valacich, J.S. and Ramakrishnan,
T., 2008. Uncovering the intellectual core of the information
systems discipline. MIS Quarterly, pp.467-482.
Öbrand, L., Augustsson, N.P., Mathiassen, L. and Holmström, J.,
2019. The interstitiality of IT risk: An inquiry into information
systems development practices. Information Systems Journal, 29(1),
pp.97-118.
Windeler, J.B., Maruping, L. and Venkatesh, V., 2017. Technical
systems development risk factors: The role of empowering
leadership in lowering developers’ stress. Information Systems
Research, 28(4), pp.775-796.
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