David Paradice

David Paradice

Auburn University

H-index: 30

North America-United States

About David Paradice

David Paradice, With an exceptional h-index of 30 and a recent h-index of 13 (since 2020), a distinguished researcher at Auburn University, specializes in the field of Business analytics and decision support systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mitigating bias through random activation function selection

Calibration training for improving probabilistic judgments using an interactive app

A maturity model for the effective digital transformation of laboratories

Interpersonal and Technology-Based Trust Research: Gaps and Opportunities for Research and Practice

Fundamental Organizational Aspects of Shared Lab-Networks: Trust, Business-and Maturity-Model Considerations in DigiLab4U

Deep transfer learning & beyond: Transformer language models in information systems research

Going beyond intent to adopt Blockchain: an analytics approach to understand board member and financial health characteristics

Two grand challenges for DSS evolution

David Paradice Information

University

Position

Harbert Eminent Scholar

Citations(all)

3264

Citations(since 2020)

796

Cited By

2305

hIndex(all)

30

hIndex(since 2020)

13

i10Index(all)

54

i10Index(since 2020)

17

Email

University Profile Page

Auburn University

Google Scholar

View Google Scholar Profile

David Paradice Skills & Research Interests

Business analytics and decision support systems

Top articles of David Paradice

Title

Journal

Author(s)

Publication Date

Mitigating bias through random activation function selection

Neural Computing and Applications

James M Locke

David Paradice

R Kelly Rainer

2024/2

Calibration training for improving probabilistic judgments using an interactive app

Futures & Foresight Science

Ross Gruetzemacher

Kang Bok Lee

David Paradice

2023

A maturity model for the effective digital transformation of laboratories

Journal of Manufacturing Technology Management

Valentin Kammerlohr

David Paradice

Dieter Uckelmann

2023/5/15

Interpersonal and Technology-Based Trust Research: Gaps and Opportunities for Research and Practice

Valentin Kammerlohr

David Paradice

2023/2/26

Fundamental Organizational Aspects of Shared Lab-Networks: Trust, Business-and Maturity-Model Considerations in DigiLab4U

Valentin Kammerlohr

David Paradice

2022/11/16

Deep transfer learning & beyond: Transformer language models in information systems research

Ross Gruetzemacher

David Paradice

2022/9/14

Going beyond intent to adopt Blockchain: an analytics approach to understand board member and financial health characteristics

Annals of Operations Research

Alireza Farnoush

Ashish Gupta

Hamidreza Ahady Dolarsara

David Paradice

Shashank Rao

2022/1

Two grand challenges for DSS evolution

David Paradice

2021/8/10

Towards the Operationalization of Trust Relationships in Networked Organizations

Valentin Kammerlohr

David Paradice

Jannicke Baalsrud Hauge

Heiko Duin

2021/2/24

Do social networking fan page posts matter for corporate image?: Modified elaboration likelihood model perspective

Journal of Organizational and End User Computing (JOEUC)

Soo Il Shin

Dianne J Hall

Sumin Han

David Paradice

Teresa Lang

2021/11/1

Forecasting extreme labor displacement: A survey of AI practitioners

Technological Forecasting and Social Change

Ross Gruetzemacher

David Paradice

Kang Bok Lee

2020/12/1

Health goal attainment of patients with chronic diseases in web-based patient communities: content and survival analysis

Journal of Medical Internet Research

Jiahe Song

Pei Xu

David B Paradice

2020/9/11

The importance of policy to effective IM use and improved performance

Information Technology & People

Lin Jia

Lijuan Huang

Zhijun Yan

Dianne Hall

Jiahe Song

...

2020/1/14

See List of Professors in David Paradice University(Auburn University)