SoDa: MIS Quarterly Special Issue Showcase (Session 1)
Event Start Date:
Wednesday, January 27, 2021
- 8:00 pm
Event End Date:
Wednesday, January 27, 2021 - 9:30 pm
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Wednesday, January 27, 2021 8:00 pm
Wednesday, January 27, 2021 9:30 pm
America/New York
SoDa: MIS Quarterly Special Issue Showcase (Session 1)
Social Data Science Center (SoDA) Presents:
Next-Generation Information Systems Theory
Accelerating change, increasing complexity, and the unprecedented availability of data and algorithms for pattern identification have led some to argue for a reduced emphasis on theory in IS research. However, it is our contention that theorizing is now more critical than ever. Rather than diminishing the value of theory, more complex systems, new forms of data, and emerging machine learning tools provide opportunities to improve theorizing. Many critiques of theorizing are actually just critiques of old-fashioned views of theorizing that we can move beyond. We need to adopt fresh approaches to theorizing for the road ahead (for more on these ideas see the Special Issue Editorial).
This Special Issue seeks to inspire the IS community to reaffirm its commitment to developing foundational theories and offer bold new theoretical ideas and approaches to inspire and shape our field’s future. We hope the papers and provocations presented in these sessions and to be published in the Special Issue will fuel and sustain the intellectual engine of our scholarly community at this crucial point in history. We are inspired by these scholars’ work, and hope you will be too.
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (link no longer available)
Aaron Baird, Georgia State University
Likoebe Maruping, Georgia State University
Who Needs Theory? (link no longer available)
John King, School of Information, University of Michigan
All IS Theory is Grounded Theory (link no longer available)
Natalia Levina, Stern School of Business, New York University
Speculatively Engaging Future(s): Four Theses (link no longer available)
Dirk Hovorka, The University of Sydney Business School
Sandra Peter, The University of Sydney Business School
Social Data Science Center (SoDA) Presents:
Next-Generation Information Systems Theory
Accelerating change, increasing complexity, and the unprecedented availability of data and algorithms for pattern identification have led some to argue for a reduced emphasis on theory in IS research. However, it is our contention that theorizing is now more critical than ever. Rather than diminishing the value of theory, more complex systems, new forms of data, and emerging machine learning tools provide opportunities to improve theorizing. Many critiques of theorizing are actually just critiques of old-fashioned views of theorizing that we can move beyond. We need to adopt fresh approaches to theorizing for the road ahead (for more on these ideas see the Special Issue Editorial).
This Special Issue seeks to inspire the IS community to reaffirm its commitment to developing foundational theories and offer bold new theoretical ideas and approaches to inspire and shape our field’s future. We hope the papers and provocations presented in these sessions and to be published in the Special Issue will fuel and sustain the intellectual engine of our scholarly community at this crucial point in history. We are inspired by these scholars’ work, and hope you will be too.
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (link no longer available)
Aaron Baird, Georgia State University
Likoebe Maruping, Georgia State University
Who Needs Theory? (link no longer available)
John King, School of Information, University of Michigan
All IS Theory is Grounded Theory (link no longer available)
Natalia Levina, Stern School of Business, New York University
Speculatively Engaging Future(s): Four Theses (link no longer available)
Dirk Hovorka, The University of Sydney Business School
Sandra Peter, The University of Sydney Business School
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