Using machine learning algorithms to examine the impact of technostress creators on student learning burnout and perceived academic performance

The WEKA data mining software

Mark Hall, Eibe Frank, Geoffrey Holmes et al. · ACM SIGKDD Explorations Newsletter · 2009 · 17.8K citations

Engineering, Pattern Mining, Text Mining +16

Assessing measurement model quality in PLS-SEM using confirmatory composite analysis

Joe F. Hair, Matt C. Howard, Christian Nitzl · Journal of Business Research · 2019 · 4.5K citations

Total Quality Management, Customer Satisfaction, Reliability +13

The Copenhagen Burnout Inventory: A new tool for the assessment of burnout

Tage S. Kristensen, Marianne Borritz, Ebbe Villadsen et al. · Work & Stress · 2005 · 2.9K citations

Burnout: 35 years of research and practice

Wilmar B. Schaufeli, Michael P. Leiter, Christina Maslach · Career Development International · 2009 · 1.9K citations

Burnout Concept, Well-being (Indigenous Health), Health Psychology +18

The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation

T. S. Ragu‐Nathan, Monideepa Tarafdar, Bhanu S. Ragu-Nathan et al. · Information Systems Research · 2008 · 1.8K citations

Technostress Creators, End Users, Empirical Validation +22