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=== CALL FOR PAPERS ===
European Conference on Information Systems (ECIS 2019)
Track "Business Analytics and Big Data"
June 8-14, 2019, Stockholm, Sweden (
http://ecis2019.eu/)
Deadline for paper submissions: November 27th, 2018
=== TRACK CHAIRS ===
Barbara Dinter (corresponding track chair)
Chemnitz University of Technology, Germany
barbara.dinter@wirtschaft.tu-chemnitz.de<mailto:barbara.dinter@wirtschaft.tu-chemnitz.de%3cmailto:barbara.dinter@wirtschaft.tu-chemnitz.de>
Patrick Mikalef
Norwegian University of Science and Technology, Norway
patrick.mikalef@ntnu.no<mailto:patrick.mikalef@ntnu.no>
Paul A. Pavlou
Fox School of Business, Temple University, USA
pavlou@temple.edu<mailto:pavlou@temple.edu>
Aleš Popovič
University of Ljubljana, Slovenia
ales.popovic@ef.uni-lj.si<mailto:ales.popovic@ef.uni-lj.si>
=== TRACK DESCRIPTION ===
Full version:
http://ecis2019.eu/programme/research-tracks/business-analytics-and-big-data/business-analytics-and-big-data-1.393817
The transformation into a Sharing Society is reshaping the nature
of information systems. Thereby, haring data, information, and
knowledge constitutes the foundation for the "datafication of
society". Consequently, novel and advanced approaches for
collecting, storing, managing, and analysing data are required and
challenge practitioners and academia as more and more data (big
data) becomes available. This trend, as well as digitalisation in
general, foster the assimilation and further development of
business intelligence and business analytics (BI&A) approaches
within organisations and across various industries. The Sharing
Society has a boosting effect on the already unprecedented pace of
data growth and complexity, with movements such as that of sharing
and open data promising to generate sustainable value. In
addition, governments and non-profit organisations can benefit
from the new opportunities raised by BI&A applications and
technologies.
Many scholars are now emphasising the importance of BI&A and
big data approaches as well as information assets for efficient
and effective decision support, management, and leadership.
BI&A is essential for an organisations' daily business,
directly influencing firm performance and business development in
a global world. It is not limited to a traditional and isolated
organisational focus. The application of BI&A and big data
approaches enables us to integrate, analyse, visualise, and
ultimately understand and improve the complex processes that make
up our digitised world. Such approaches are enablers for knowledge
discovery benefitting societies, organisations, and individuals
leading to smart technologies. Improved communication, more
sustainable processes, as well as new business models are examples
for the innovative use of disparate data sources (such as mobile,
the Internet of Things, streaming data or social media data).
Furthermore, the availability of seemingly endless computing and
cheaper storage capabilities available through cloud computing
enables new opportunities in providing a global gateway to
information as a service and to a Sharing Society.
Over the past few years, there has much enthusiasm around big data
analytics as organizations explore how they can leverage their
data to create and maintain a competitive advantage. As such,
today's companies try to collect and process as much data as
possible, with the aim of improving their decision-making
processes. Nevertheless, while there is some empirical evidence
that big data analytics can create value, the thesis that it leads
to performance gains requires deeper analysis. To date, there is
limited understanding of how organizations need to change to
embrace these technological innovations, and the business shifts
they entail. As big data tools and applications diffuse into the
organizational fabric, they will inevitably change longstanding
ideas about decision making, management practices, and most
importantly competitive strategy formulation.
Motivated by the explosion of interest in these emerging fields,
the present track aims to promote multidisciplinary contributions
dealing with socio-economic, organizational, technological,
cultural and societal perspectives. Furthermore, outcomes that
demonstrate critical success factors on the organizational impact
of big data and BI&A in terms of competitive performance,
innovativeness, increased agility, and market capitalizing
competence are encouraged. We welcome submissions based on
quantitative and qualitative work, theoretical research, design
research, action research, or behavioural research
Suggested topics include, but are not limited to:
* The role of BI&A and big data in a Sharing Society
* Emerging concepts and methodologies of BI&A
* Use cases and innovative applications of BI&A
* BI&A in and for the Sharing economy, BI&A in the cloud,
BI&A as a service
* Data, text and process mining for business analytics
* Social media analytics for business
* Data visualisation, visual analytics
* Real-time analytics and operational BI, event-driven BA
* BI&A and big data's new frontiers in, e.g., social (media),
sports, education, healthcare
* Big Data
* Strategic and change management issues stemming from BI&A
and big data
* Business value and success of BI&A and big data
* Data-driven competitive advantage
* Adoption, routinisation, maturity, and use of BI&A and big
data
* Big data management
* Big data driven business model innovation
* Digital ecosystem big data
* Data privacy, data quality, and data governance
* Digital manufacturing and the Internet of Things
* Human resource management in the data-driven enterprise
* Opportunities and challenges of sharing data and of open data
---
Prof. Dr. Barbara Dinter
Chemnitz University of Technology
Faculty of Economics and Business Administration
Business Information Systems Group
Thueringer Weg 7, 09126 Chemnitz, Germany
Barbara.Dinter@wirtschaft.tu-chemnitz.de<mailto:Barbara.Dinter@wirtschaft.tu-chemnitz.de>
http://www.tu-chemnitz.de/wirtschaft/wi1
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