Andrew H. Schwarz

Professor Louisiana State University

  • Baton Rouge LA

Dr. Schwarz is an expert in issues related to IT strategy, change management and IT implementation.

Contact

Louisiana State University

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Biography

As a Professor in the Information Systems and Decision Sciences Department in the E. J. Ourso College of Business Administration at Louisiana State University, Dr. Andrew Schwarz brings to his current position a unique blend of industry and academic qualifications. Prior to pursuing his Ph.D., Andrew completed his undergraduate degree at Florida Atlantic University in Boca Raton, Florida, where he majored in social psychology and minored in sociology. Following completion of his bachelor's degree, Andrew worked in the market research industry for Fortune 500 firms, crafting research aimed at developing advertising campaigns for both new and established products and built models to forecast future trends in the credit card and food and beverage industries. In 2003, Andrew graduated with a Ph.D. in Management Information Systems from the University of Houston.

He is currently involved in research aimed at investigating: 1. IT acceptance and use 2. Information technology management issues, such as governance, firm boundary choice, and alignment 3. The implementation and diffusion of technology within organizations, and 4. Future technology trends Andrew has been ranked in the top 1% of the globe in terms of research productivity in top tier journals and his work has appeared in MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, among others.

Areas of Expertise

Emerging Technologies
Quantitative Methods
Technology Trends
IT Management‎
IT Governance ‎
IT-Business Alignment

Research Focus

Artificial Intelligence Adoption & IT Governance

Dr. Schwarz’s research focuses on artificial-intelligence adoption in business, along with IT governance and IT–business alignment. He leads LSU’s Ourso College AI initiative, applying organizational surveys, case studies, and strategic IT frameworks to guide industry integration of AI and embed forward-looking governance in research and curriculum.

Education

University of Houston

Ph.D.

Management Information Systems

2003

Florida Atlantic University

B.A.

Social Psychology

1997

Media Appearances

Q&A: LSU Professor Forecasts AI's Future in Louisiana

GovTech  online

2025-01-23

An early advocate for the potential of artificial intelligence, Louisiana State University business professor Andrew Schwarz says the state needs to invest heavily in both traditional and adult education.

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This LSU professor was an early backer of AI. Here's what he says Louisiana needs to do to keep up.

The Advocate  online

2025-01-23

“I am a technical optimist,” said Schwarz, a professor in the Stephenson Department of Entrepreneurship & Information Systems. “I see opportunities everywhere.”

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West Feliciana data center could bring investments to state with data processing, AI servers

WBRZ 2  tv

2025-01-13

Louisiana State University Professor Andrew Schwarz told the Baton Rouge Press Club on Monday that the announcement of AI data centers like the ones in West Feliciana and Richland parishes are attracting businesses that would invest in the state as a new hub for computing technology.

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Articles

Conceptualizing Echo Chambers and Information Cocoons: A Literature Review and Synthesis of Current Knowledge and Future Directions

The Journal of Strategic Information Systems

2025

Echo Chambers and Information Cocoons have become the subject of a multifaceted academic debate – ranging from the proper conceptualization and delineation of related concepts, to questions about their prevalence and uniqueness in the online environment, to arguments about their societal impact and the role of digital technologies. This study presents a systematic literature review that analyzes the existing research to synthesize relevant findings and build the missing foundations of these phenomena. This study follows a hermeneutic analytical approach to the literature to clarify and model the distinction between information cocoons and echo chambers. Furthermore, we summarize the selected literature and identify existing knowledge gaps to outline future research opportunities.

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Information Technology Acceptance: Construct development and empirical validation

International Journal of Information Management

2024

Traditional adoption models explain the intention to use information technology (IT). These models draw on theories that relate perceptions of IT to its actual use. To advance the IT adoption literature, we direct attention away from individual perceptions of IT towards understanding the drivers of individuals' decisions as they use IT. This approach may offer richer explanations of individual IT-enabled performance. Using five decisions about IT acceptance and the theoretical lens of automaticity as proposed in previous work, we develop the construct of Information Technology Acceptance as being comprised of the five decisions that users make (i.e., to receive, to grasp, to assess, to be given, and to submit) and validate an instrument with data collected from 524 technology users in three organizations.

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A Conjoint Approach to Understanding Software as a Service (SaaS) Adoption Decisions: A Replication Study

AIS Transactions on Replication Research

2024

The decision to source services from cloud computing vendors is becoming increasingly complex. Over time, more IT products, processes, data, information, and security have been offered ‘as a service.’The present study replicates one by Schwarz et al.(2009) examining the first instance of cloud computing, the Application Service Provider (or ASP), but includes decision-making about Software as a Service (SaaS) to determine whether the drivers of ASP adoption parallel those of SaaS. The findings suggest that despite the similarity in theoretical lenses, there is a shift in resource heterogeneity from one study to the next, specifically how the application differentiates the firm.

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Event Appearances

WEB SITE BUSINESS MODELS, TRUST, AND OBJECTIVE OUTCOMES

2009 | Decision Sciences Institute 2009 Meeting sponsored by Decision Sciences Institute  New Orleans, LA

Research Grants

Louisiana State University College of Business Research Lab Mobility and Measurement Enhancement

Louisiana Board of Regents

2015

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