Richard D. Johnson

Richard D. Johnson

Washington State University

H-index: 30

North America-United States

About Richard D. Johnson

Richard D. Johnson, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Washington State University, specializes in the field of eHRM, Human Resource Information Systems, Computer Self-Efficacy, Anthropomorphism, Human-Computer Interaction.

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

Ethical considerations of generative AI-enabled human resource management

Understanding Internet Self-Efficacy in a Post-Adoption World: A Meta-Analysis

Bringer of Bad News: How AI-Enabled Performance Appraisal Affects Employee Motivations

Will artificial intelligence radically change human resource management processes?

Generative artificial intelligence in information systems education: Challenges, consequences, and responses

An Investigation of Employees’ Responses to After-Hours Work Connectivity: A Coping Perspective

An empirical examination of voluntary development activities of employees

Design considerations for conducting artificial intelligence research in human resource management

Richard D. Johnson Information

University

Position

___

Citations(all)

7348

Citations(since 2020)

2824

Cited By

5513

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

42

i10Index(since 2020)

34

Email

University Profile Page

Washington State University

Google Scholar

View Google Scholar Profile

Richard D. Johnson Skills & Research Interests

eHRM

Human Resource Information Systems

Computer Self-Efficacy

Anthropomorphism

Human-Computer Interaction

Top articles of Richard D. Johnson

Title

Journal

Author(s)

Publication Date

Ethical considerations of generative AI-enabled human resource management

Organizational Dynamics

Pierre Andrieux

Richard D Johnson

Jalal Sarabadani

Craig Van Slyke

2024/2/13

Understanding Internet Self-Efficacy in a Post-Adoption World: A Meta-Analysis

Richard Johnson

Jennifer Pullin

Jason Bennet Thatcher

2024/1/3

Bringer of Bad News: How AI-Enabled Performance Appraisal Affects Employee Motivations

Long Nguyen

Richard Johnson

2024

Will artificial intelligence radically change human resource management processes?

Organizational Dynamics

Dianna L Stone

Kimberly M Lukaszewski

Richard D Johnson

2024/2/15

Generative artificial intelligence in information systems education: Challenges, consequences, and responses

Communications of the Association for Information Systems

Craig Van Slyke

Richard D Johnson

Jalal Sarabadani

2023

An Investigation of Employees’ Responses to After-Hours Work Connectivity: A Coping Perspective

Jalal Sarabadani

Deborah Compeau

Richard D Johnson

2022

An empirical examination of voluntary development activities of employees

IIM Kozhikode Society & Management Review

Kanchan V Deosthali

Richard D Johnson

2022/1

Design considerations for conducting artificial intelligence research in human resource management

Richard D Johnson

Dianna L Stone

2022/3/15

Human resource information systems: Basics, applications, and future directions

Richard D Johnson

Kevin D Carlson

Michael J Kavanagh

2020/9/10

The benefits of eHRM and AI for talent acquisition

Journal of Tourism Futures

Richard D Johnson

Dianna L Stone

Kimberly M Lukaszewski

2020/7/6

See List of Professors in Richard D. Johnson University(Washington State University)

Co-Authors

H-index: 59
Jason Bennett Thatcher

Jason Bennett Thatcher

Temple University

H-index: 53
France Belanger

France Belanger

Virginia Polytechnic Institute and State University

H-index: 40
Jonathan Passmore

Jonathan Passmore

University of Reading

H-index: 39
Kenneth G Brown

Kenneth G Brown

University of Iowa

H-index: 36
George Marakas

George Marakas

Florida International University

H-index: 29
Craig Van Slyke

Craig Van Slyke

Louisiana Tech University

academic-engine