Call for Papers
The Association for Information Systems‘ Special Interest Group on Decision Support and Analytics (SIGDSA) is seeking forward-thinking research in the areas of data analytics and business intelligence, with a special focus on the role of data analytics in organizations’ digitization and transformation journey. Top submissions will be fast-tracked to one of the journals listed in the submissions section.
As organizations strive to foster innovation through the digitization of processes supporting their product and service offerings, the digitization efforts, as well as the ability to harness insights and value from the tremendous data being generated, present new challenges and opportunities. The explosive growth in big data, fueled in part, by the digital ubiquity of the Internet of Things (IoT), social media, and technology-facilitated human networks accentuates these opportunities and challenges. Research is needed to examine the role of data and analytics in enabling meaningful networking, harnessing new business and societal opportunities through massive data sharing, leading to a deeper understanding of the implication of unlimited connectivity across organizational boundaries and disparate datasets. The research is also due to societal, organizational, and individual issues flowing from the creation of “anytime/anywhere” connectedness and the abundance of data. Additionally, by applying a fundamental understanding of human decision-making theories and established principles of decision support systems and approaches – we recognize the need to lift the current body of knowledge in this area in order to come up with robust new business models and technical architectures that may transform organizations and societies leveraging connected data and analytics.
This research track aims to promote computational, theoretical (mathematical or social sciences driven) as well as empirical studies in the areas of data analytics, big data, and their various applications in different domains. We seek comprehensive Completed Research or early-stage Research-in-Progress papers on topics including, but not limited to:
- Data analytics in various business sectors (e.g., financial services, manufacturing, retail, pharmaceutical, healthcare, government, agribusiness, hospitality and entertainment, supply chain, etc.)
- Big data and organizational transformation
- Artificial Intelligence, machine learning, deep learning, reinforcement learning, and active learning methodologies and applications for decision support
- Social media and marketing analytics
- Network and collaborative analytics for decision support
- Analytics connecting data and processes (e.g., process mining)
- Data analytics for sustainability (e.g., data analytics and operational sustainability practices for sustainable business management, big data and social media analytics for business to business sustainability, big data and predictive analytics capability for supply chain sustainability, orchestrating data analytics capability for sustainability, etc.)
- Analytics using IoT devices such as wearables, RFID, etc.
- Data mining with blockchains and cryptocurrencies
- Data analytics and business intelligence theory and applications
- Innovative data-driven decision support tools and techniques
- Data analytics in behavioral research
- Predictive, descriptive and prescriptive approaches to analytics
- Natural language processing applications
- Data analytics technologies and applications
- Risks and benefits of interconnected decision-making
(e.g., privacy and ethical considerations in the use of data and analytics, dark side of analytics, etc.)
- Algorithmic bias and approaches to mitigate such bias
- Model explainability, interpretability, and reproducibility
- Model sharing and deployment issues and the role of MLOps
- Data and analytics for diverse societal applications (e.g., smart cities, smart and connected communities, smart health, smart energy management)
- Data and analytics in shaping public policy
- Methodological issues of developing systems based on connected big data
Submission Categories: Research Track
Completed research papers are full-length papers documenting the results of finished research projects. For empirical work, completed research papers should have completed analyses and documentation of results. Completed research papers must not exceed sixteen (16) single-spaced pages (all-inclusive) and must conform to the paper submission template. The page limit covers everything in the submission, including title, text, tables, figures, appendices, and references. Submissions that exceed this limit will be automatically rejected.
Research-in-progress papers typically describe work that is yet to be completed but is promising. Short papers could take various forms. For example, they can be theoretical (presenting promising frameworks), empirical (with some preliminary results), or present a design of novel and useful concepts, artefacts (testing need not be done). Short papers should include a paragraph describing what work remains to complete the paper and the authors’ plan for the next steps. Please note that the progress described is expected to be substantive in nature. Short papers must not exceed eight (8) single-spaced pages and must conform to the paper submission template. The page limit covers everything in the submission, including title, text, tables, figures, appendices, and references. Submissions that exceed this limit will be automatically rejected.
If accepted, research-in-progress papers will be presented as part of a slam presentation session.
Submission Template, Submission System, and Awards and Publication Opportunities
Research Track Co-Chairs
For questions regarding the submissions to the research track, please contact:
We recommend including the ‘2022 Pre-ICIS SIGDSA Research Track Question’ as your email subject line.