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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

 

Patrick Mikalef

Norwegian University of Science and Technology, Norway

patrick.mikalef@ntnu.no

 

Paul A. Pavlou

Fox School of Business, Temple University, USA

pavlou@temple.edu

 

Aleš Popovič

University of Ljubljana, Slovenia

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

 

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Univ.-Prof. Dr. Barbara Dinter

Technische Universität Chemnitz

Professur Wirtschaftsinformatik - Geschäftsprozess- und Informationsmanagement

 

Thüringer Weg 7, 09126 Chemnitz

Tel.: 0371 531 39228

Mail: Barbara.Dinter@wirtschaft.tu-chemnitz.de

Info: http://www.tu-chemnitz.de/wirtschaft/wi1