-------- Weitergeleitete Nachricht -------- Betreff: [WI] HICSS-51: CFP - Minitrack: Organizational Issues of Business Intelligence, Business Analytics and Big Data Datum: Tue, 2 May 2017 09:29:01 +0000 Von: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de Antwort an: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de An: wi@aifb.uni-karlsruhe.de wi@aifb.uni-karlsruhe.de

CALL FOR PAPERS

51st Annual Hawaii International Conference on System Sciences (HICSS-51)

January 3-6, 2018 (Wednesday-Saturday)

Hilton Waikoloa Village (http://www.hiltonwaikoloavillage.com)

Track: Organizational Systems and Technology Track

Minitrack: Organizational Issues of Business Intelligence, Business Analytics and Big Data

Recent developments and the evolution of data and technologies in the business intelligence and analytics space has given rise to new opportunities, innovation and challenges for individuals, organizations and society. The internet of things has begun to create more demand for real time analytics and visualization. The emergence of major vendors (such as Amazon and Microsoft) in the cloud services arena is making cloud based BI a reality for both small and medium businesses as well as large corporations. The more prevalent use of predictive & prescriptive analytics and data science is heightening BI and analytics skill shortages experienced by companies.

Meanwhile, there is an ongoing major shift in the industry of organizations leveraging pervasive, self-service analytics. The push for self-service analytics that include a portfolio of analysis tools, algorithms and visualizations has enabled agile decision making through effective business insights. In addition, the growth in this space has led to societal implications as the social impact of big data and analytics are felt more strongly and benefits underdeveloped and underrepresented parts of the globe. The evolution and innovation experienced has created a state of excitement and flux in the BI, analytics and big data space. Starting from a rich historic advancement in decision support systems, to more recently big data, internet of things, machine learning and cognitive analytics, this space continues to present a wide variety of research questions and challenges for researchers to explore.

This minitrack, now in its 28th year, is the longest running HICSS minitrack related to business intelligence, business analytics and more recently big data, that continues to rise in relevance to both academia and practice. Its main focus remains on the organizational issues of BI/BA and big data implementations, rather than the data science and IT perspectives. This particular focus, as well as its long history of research embedded in Decision Support Systems and other research predecessors of contemporary BI/A, creates a minitrack with a rich comprehensive view of organizational issues.

This minitrack will accept papers focused on the business and organizational aspects of business intelligence, business analytics and big data rather than technology or data science. Contributions from the fields of theory building, design research (methods and models), action research as well as analyses of existing or innovative applications are welcome. We invite papers that investigate topics which include, but are not limited to, the following:

* Emerging Trends in Business Intelligence, Business Analytics and Big Data:

- Cognitive analytics

- Real-time business intelligence and analytics

- Mobile and pervasive BI/BA

- Innovative applications of big data and advanced business analytics

- Cloud BI/BA

- Self-service BI and rapid fire BI

* Business Intelligence/Business Analytics/Big Data Applications:

- Collaborative BI/BA Performance management and dashboards

- Customer relationship management, supply chain management, and E-commerce

- Geographical information systems and spatial analytics

- Digital manufacturing and internet of things

- Social media & big data/BI/BA

- Open data and big data/BI/BA

- Data lakes and modern big data/BI/BA implementation frameworks

- Data visualization strategies

* Managerial Issues

- Data-driven business models and innovation

- Business challenges of big data

- Business value and big data/BI/BA success

- Big data/BI/BA strategy, governance, and maturity models

- Security, privacy and ethical issues

- Societal impact of big data/BI/BA

- Big data/BI/BA challenges in NFP organizations

IMPORTANT DATES:

- April 1, 2017: Paper submission begins.

- June 15, 2017 | 11:59 pm HST : Paper submission deadline

- August 17, 2017 : Notification of Acceptance/Rejection

- September 22, 2017 : Deadline for authors to submit final manuscript for publication

- October 1, 2017 : Deadline for at least one author of each paper to register for HICSS-51

- January 3-6, 2018: HICSS-51 Conference

For further submission information, please see the general HICSS-51 Call for Papers (http://hicss.hawaii.edu/tracks-and-minitracks/authors).

Minitrack Co-chairs:

Olivera Marjanovic (Primary Chair)

The University of Sydney Business School, Australia; olivera.marjanovic@sydney.edu.au mailto:olivera.marjanovic@sydney.edu.au

Barbara Dinter

Chemnitz University of Technology, Germany; barbara.dinter@wirtschaft.tu-chemnitz.de mailto:barbara.dinter@wirtschaft.tu-chemnitz.de

Thilini Ariyachandra

Xavier University, USA; ariyachandrat@xavier.edu mailto:ariyachandrat@xavier.edu

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

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

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