This year, the 16th Mediterranean Conference on Information Systems (MCIS 2024) and the 24th Conference of the Portuguese Association for Information Systems (CAPSI 2024) will be organised as a joint conference. The conference will take place in Porto, Portugal, hosted by Porto Accounting and Business School (ISCAP), Polytechnic of Porto, from October 3rd to 5th, 2024.
The submission of papers is open to the academic and business communities with relevant research and development work in the field of information systems.
https://capsi2024.apsi.pt/index.php/en/submissions/m23-call-for-papers#track-11-dadmTrack #11 - Data Analytics and Decision-Making
The proposed track session on the subject of Data Analytics and Decision Making will provide attendees with a wide understanding of the role of statistical analysis and optimization techniques within Information Systems and their broader implications for organisations and society more generally. This track focuses on the impact of analytics-enabled information systems on decision-making. Business intelligence tools and technologies are used to transform raw data into actionable insights that enable stakeholders to monitor performance, identify opportunities and mitigate risks. The aim of this track is to explore the ways in which organisations are using data analytics for strategic decision-making in a range of areas, including but not limited to marketing, finance, operations and human resources.
Papers that utilise mathematical models and predictive modelling techniques for the purposes of forecasting future trends and behaviours, thereby enabling proactive decision-making, in areas such as customer behaviour, demand forecasting and risk management, will also be welcome. The discussion will also welcome papers that focus on the conceptualization and implementation of decision-support systems (DSS) integrating optimization algorithms and data analytics capabilities, with an objective to assist decision-makers in evaluating alternatives, simulating scenarios, and optimizing outcomes. In addition, the track welcomes contributions that use analytics-enabled information systems that apply optimisation techniques to improve sustainability in operations and decision-making, minimising environmental impact, optimising resource use, and balancing economic, environmental and social objectives.
Submit your manuscript by June 15, 2024 (Extended)
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