Abstract
Some organizations have found competitive advantages through location analytics, yet such methods are rarely taught, applied, or researched within the information systems discipline. Instead, questions about location or analysis of location data are frequently treated as an afterthought or special case rather than an integral part of most business processes. Hence, organizations rarely adopt location analytics as a core enabler for remaining competitive or gaining a competitive advantage. Location analytics is an exciting opportunity for information systems programs to discover innovative industry applications, expand research approaches, and meet a critical workforce need through curricular enhancements. Many industries have yet to discover the capabilities of practical analyses of location-based data to drive decisions and inform strategy. Similarly, most information systems research (analytical, organizational, and behavioral) does not include spatial methodologies and theories. Finally, industries that hire information systems majors expect them to be able to work with a variety of data, including spatial data. Therefore, exposing information systems students to advanced spatial problem solving and analysis is critical. Our panel will share ideas for implementing innovative spatial analysis within industries, present examples of how spatial dimensions can inform richer and more rigorous research methodologies, and discuss how to best ensure that information systems students are exposed to spatial analysis. We invite those curious about bringing innovation to the IS curriculum to join us on an exploratory journey about location analytics in industry, research, and the classroom.
Recommended Citation
Sarkar, Avijit; Pick, James B.; Erskine, Michael A.; Satpathy, Asish; and Diaz Lopez, Andres, "Location Analytics in Information Systems: Innovative Applications & Research Opportunities" (2022). AMCIS 2022 TREOs. 30.
https://aisel.aisnet.org/treos_amcis2022/30