SoDa: MIS Quarterly Special Issue Showcase (Session 2)
Event Start Date:
Friday, January 29, 2021
- 10:00 am
Event End Date:
Friday, January 29, 2021 - 11:45 am
Add to Calendar
Friday, January 29, 2021 10:00 am
Friday, January 29, 2021 11:45 am
America/New York
SoDa: MIS Quarterly Special Issue Showcase (Session 2)
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 CARE Theory of Dignity Amid Personal Data Digitalization (link no longer available)
Dorothy E. Leidner, Baylor University
Olgerta Tona, University of Gothenburg School of Business Economics and Law
Everything Flows: Studying Continuous Socio-Technological Transformation in a Fluid and Dynamic Digital World (link no longer available)
Reza Mousavi Baygi, IESEG School of Management
Lucas D. Introna, Lancaster University
Lotta Hultin, Handelshogskolan
Theories in Flux: Reimagining Theory Building in the Age of Machine Learning (link no longer available)
Monica Tremblay, Raymond A. Mason School of Business, William & Mary
Rajiv Kohli, Raymond A. Mason School of Business, William & Mary
Nicole Forsgren, GitHub, Inc.
Focusing on Programmatic High Impact Information Systems Research, Not Theory, To Address Grand Challenges (link no longer available)
Sudha Ram, Eller College of Management, University of Arizona
Paulo Goes, Eller College of Management, University of Arizona
The Economics of IT, Reference Discipline and Boundary Expansion (link no longer available)
Erik Brynjolfsson, Stanford Digital Economy Laboratory, Stanford University
Chong Alex Wang, Guanghua School of Management, Peking University
Xiaoquan Michael Zhang, Chinese University of Hong Kong
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 CARE Theory of Dignity Amid Personal Data Digitalization (link no longer available)
Dorothy E. Leidner, Baylor University
Olgerta Tona, University of Gothenburg School of Business Economics and Law
Everything Flows: Studying Continuous Socio-Technological Transformation in a Fluid and Dynamic Digital World (link no longer available)
Reza Mousavi Baygi, IESEG School of Management
Lucas D. Introna, Lancaster University
Lotta Hultin, Handelshogskolan
Theories in Flux: Reimagining Theory Building in the Age of Machine Learning (link no longer available)
Monica Tremblay, Raymond A. Mason School of Business, William & Mary
Rajiv Kohli, Raymond A. Mason School of Business, William & Mary
Nicole Forsgren, GitHub, Inc.
Focusing on Programmatic High Impact Information Systems Research, Not Theory, To Address Grand Challenges (link no longer available)
Sudha Ram, Eller College of Management, University of Arizona
Paulo Goes, Eller College of Management, University of Arizona
The Economics of IT, Reference Discipline and Boundary Expansion (link no longer available)
Erik Brynjolfsson, Stanford Digital Economy Laboratory, Stanford University
Chong Alex Wang, Guanghua School of Management, Peking University
Xiaoquan Michael Zhang, Chinese University of Hong Kong
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