[AISWorld] Final Call for Papers ECIS 2023 - Track "Business Analytics and Big Data"

[Barbara Dinter]

* Apologies for cross-posting *

=== CALL FOR PAPERS ===

31st European Conference on Information Systems (ECIS 2023)
June 11-16, 2023, Kristiansand, Norway (http://ecis2023.no/)
Deadline for paper submissions: November 17th, 2022

Track "Business Analytics and Big Data" (https://ecis2023.no/submissions/track-descriptions/?track=babd)

=== Track Chairs ===
* Barbara Dinter, Chemnitz University of Technology, Germany, barbara.dinter at wirtschaft.tu-chemnitz.de<mailto:barbara.dinter at wirtschaft.tu-chemnitz.de> (Contact)
* Christian Janiesch, TU Dortmund University, Germany, christian.janiesch at tu-dortmund.de<mailto:christian.janiesch at tu-dortmund.de>
* Patrick Mikalef, Norwegian University of Science and Technology, Norway, patrick.mikalef at ntnu.no<mailto:patrick.mikalef at ntnu.no>
* Olgerta Tona, University of Gothenburg, Sweden, olgerta.tona at ait.gu.se<mailto:olgerta.tona at ait.gu.se>

=== Track Description ===
Global sustainability challenges have more than ever revealed the need to join the collective efforts for overcoming climate change, inequality, and social injustice among others. Business analytics (BA) and big data are important means in advancing the Sustainable Development Goals (SDGs) as they allow us to integrate, analyze, visualize, and ultimately understand and improve the complex processes that make up our digitized world.

The rise of big data over the past few years has naturally created new opportunities as well as challenges to the domain of BA. Thus, while there are ample opportunities for analyzing big data to generate important insights and gain a competitive edge, there is also a renewed interest in the field of how one should adapt to reap the most out of big data to foster the digital transformation of societies and organizations. With the enthusiasm around business analytics comes responsibility, as BA can amplify digital divides, trigger affronts to human dignity, and be used to incite distrust rather than unify in solidarity. Organizations and researchers try to counteract some of these 'unintended implications', for instance, by employing interdisciplinary collaborations that are reflected in the composition of data science teams with multifaceted skills to solve complex problems.

This track aims to promote multi- and interdisciplinary contributions dealing with organizational, technological, cultural, ethical and societal perspectives and challenges of BA and big data. We call for submissions based on quantitative and qualitative work as well as theoretical, design, action, or behavioral research. Furthermore, we encourage papers demonstrating the societal and organizational impact of BA and big data in terms of sustainability, competitive performance, innovativeness, as well as inclusion and community building. Papers solely dealing with AI and machine learning are not the focus of this track.

* The role of business intelligence, BA, and big data for co-creating sustainable digital futures
* BA and big data for organizational sustainability and sustainable applications, such as sustainable smart manufacturing
* Data-driven organizational resilience
* BA for human dignity, social good, societal empowerment and digital responsibility
* Data humanism, data harm and societal implications of datafication
* Interdisciplinary collaboration and research in BA
* Strategic and change management issues stemming from BA and big data
* Business value of BA and big data
* Adoption, routinization, maturity, use, and innovative applications of BA and big data
* Data privacy, data quality, and data governance
* Opportunities and challenges of sharing data and of open data
* Data-driven business model innovation, data entrepreneurship, and the digital ecosystem big data
* Data visualization, visual analytics
* Process and task mining


---

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 at wirtschaft.tu-chemnitz.de<mailto:Barbara.Dinter at wirtschaft.tu-chemnitz.de>

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