-------- Forwarded Message -------- Subject: [WI] CFP: HICSS-52 MINI-TRACK: Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management Date: Mon, 28 May 2018 06:15:04 +0000 From: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de Reply-To: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de To: wi@lists.kit.edu wi@lists.kit.edu
Dear Colleagues, We invite you to submit your work to: HICSS-52 MINI-TRACK: Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management Recent developments and the evolution of data and technologies in the business intelligence (BI) and business analytics (BA) space has given rise to new opportunities for individuals, organizations and society. As a result of digitization and digital transformation organizations are facing various challenges, covering the whole life cycle of BI/BA/big data applications and projects. Emerging trends such as the internet of things, machine learning and cognitive analytics encourage, but also urge companies to identify new use cases, applications and business models taking advantage of (big) data and analytics. To close the gap between potential and real benefits of BI/BA/big data more research on their deployment is needed in terms of artifacts such as methods, reference architectures, etc. as well as theoretical and conceptual underpinnings. Finally, operations and continuous enhancement of BI/BA/big data applications encompass management tasks considering strategic, economic, legal and ethical issues. 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 29th 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 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: Innovation and Emerging Trends in Business Intelligence, Business Analytics and Big Data: * Data-driven business models and innovation * Data entrepreneurship * Data humanism * Datafication * Impact of the digitization and digital transformation on the information & data management in organizations * Innovative applications of big data and advanced business analytics * Internet of Things * Algorithmic decision-making * Cognitive analytics * Cloud BI/BA * Self-service BI and Analytics Business Intelligence/Business Analytics/Big Data Deployment and Applications: * Deployment of BI/BA/big data * Case studies about the successful deployment of BI/BA/big data * Data lakes and modern big data/BI/BA architectures and implementation frameworks * Collaborative BI/BA performance management and dashboards * Customer relationship management, supply chain management, and E-commerce * Geographical information systems and spatial analytics * Digital manufacturing * Social media & big data/BI/BA * Open data and big data/BI/BA * Data visualization strategies and visual analytics Management of Business Intelligence/Business Analytics/Big Data * Big data/BI/BA strategy, governance, and maturity models * Business value and big data/BI/BA success * Business challenges of big data * Big data ethics and morality * Societal impact of big data/BI/BA * Security and privacy issues * Big data/BI/BA challenges in NFP organizations Minitrack Chairs: Olivera Marjanovic (Primary Chair), University of Technology Sydney, Australia: olivera.marjanovic@uts.edu.au mailto:olivera.marjanovic@uts.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 IMPORTANT DATES FOR PAPER SUBMISSION June 15, 2018 | 11:59 pm HST: Paper Submission Deadline August 17, 2018: Notification of Acceptance/Rejection September 22, 2018: Deadline for Authors to Submit Final Manuscript for Publication October 1, 2018: Deadline for at least one author of each paper to register for HICSS-52 --- 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_
-- Mailing-Liste: wi@lists.kit.edu Administrator: wi-request@lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi