| Job demands, control and support: Meta-analyzing moderator effects of gender, nationality, and occupation MJ Fila, J Purl, RW Griffeth Human Resource Management Review 27 (1), 39-60, 2017 | 144 | 2017 |
| A computational model of self-efficacy’s various effects on performance: Moving the debate forward. JB Vancouver, JD Purl Journal of Applied Psychology 102 (4), 599, 2017 | 122 | 2017 |
| Experimental investigation of demographic factors related to phishing susceptibility W Li, J Lee, J Purl, F Greitzer, B Yousefi, K Laskey | 43 | 2020 |
| Experimental investigation of technical and human factors related to phishing susceptibility FL Greitzer, W Li, KB Laskey, J Lee, J Purl ACM Transactions on Social Computing 4 (2), 1-48, 2021 | 39 | 2021 |
| Game-like personality testing: An emerging mode of personality assessment JL McCord, JL Harman, J Purl Personality and Individual Differences 143, 95-102, 2019 | 38 | 2019 |
| Positioning your organization to respond to insider threats FL Greitzer, J Purl, YM Leong, PJ Sticha IEEE Engineering Management Review 47 (2), 75-83, 2019 | 38 | 2019 |
| Sofit: Sociotechnical and organizational factors for insider threat F Greitzer, J Purl, YM Leong, DES Becker 2018 IEEE Security and Privacy Workshops (SPW), 197-206, 2018 | 38 | 2018 |
| Using a computational model to understand possible sources of skews in distributions of job performance JB Vancouver, X Li, JM Weinhardt, P Steel, JD Purl Personnel Psychology 69 (4), 931-974, 2016 | 38 | 2016 |
| Developing an ontology for individual and organizational sociotechnical indicators of insider threat risk M Imran | 33 | 2016 |
| Modeling expert judgments of insider threat using ontology structure: Effects of individual indicator threat value and class membership F Greitzer, J Purl, DE Becker, P Sticha, YM Leong | 18 | 2019 |
| Design and implementation of a comprehensive insider threat ontology FL Greitzer, JD Lee, J Purl, AK Zaidi Procedia Computer Science 153, 361-369, 2019 | 18 | 2019 |
| Analysis of competencies for dry needling by physical therapists J Caramagno, L Adrian, L Mueller, J Purl Human Resouces Research Organization, 2015 | 17 | 2015 |
| A diagnostic methodology for discovering the reasons for employee turnover using shocks and events J Purl, KE Hall, RW Griffeth Research handbook on employee turnover, 213-246, 2016 | 16 | 2016 |
| Attrition and reenlistment in the Army: Using the Tailored Adaptive Personality Assessment System (TAPAS) to improve retention MG Hughes, EL O’Brien, MC Reeder, J Purl Military Psychology 32 (1), 36-50, 2020 | 15 | 2020 |
| Do management scholars mistakenly believe in the capacity of self-efficacy JB Vancouver, JM Weinhardt, M Warren, A Covey, J Purl, A Milakovic, X Li Received wisdom, kernels of truth, and boundary conditions in organizational …, 2013 | 12 | 2013 |
| Tier One Performance Screen initial operational test and evaluation: Capstone report DJ Knapp, CD Kirkendall Technical Report 1380). US Army Research Institute for the Behavioral and …, 2020 | 11 | 2020 |
| Use of Expert Judgments to Inform Bayesian Models of Insider Threat Risk. FL Greitzer, J Purl, PJ Sticha, CY Martin, JD Lee J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12 (2), 3-47, 2021 | 9 | 2021 |
| Sofit: Sociotechnical and organizational factors for insider threat. In 2018 IEEE security and privacy workshops (SPW)(pp. 197–206) F Greitzer, J Purl, YM Leong, DS Becker IEEE, 2018 | 9 | 2018 |
| Demands, resources, well-being and strain: Meta-analyzing moderator effects of workforce racial composition MJ Fila, J Purl, S Jang Applied Research in Quality of Life 17 (4), 2163-2190, 2022 | 6 | 2022 |
| Turnover modeling and event history analysis RA McCloy, JD Purl, ES Banjanovic Industrial and Organizational Psychology 12 (3), 320-325, 2019 | 6 | 2019 |
