Events

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 2021-01-29 10:00:00 2021-01-29 11:45:00 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  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 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  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 ChallengesSudha 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  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 Learn More & Event Registration America/New_York public

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
 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
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 
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 ChallengesSudha 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
 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

Learn More & Event Registration