Pence, Justin, Sakurahara, Tatsuya, Zhu, Xuefeng, Mohaghegh, Zahra, Ertem, Mehmet, Ostroff, Cheri, and Kee, Ernie. Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis. Retrieved from https://par.nsf.gov/biblio/10088968. Reliability Engineering & System Safety 185.C Web. doi:10.1016/j.ress.2018.12.020.

Pence, Justin, Sakurahara, Tatsuya, Zhu, Xuefeng, Mohaghegh, Zahra, Ertem, Mehmet, Ostroff, Cheri, & Kee, Ernie. Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis. Reliability Engineering & System Safety, 185 (C). Retrieved from https://par.nsf.gov/biblio/10088968. https://doi.org/10.1016/j.ress.2018.12.020

Pence, Justin, Sakurahara, Tatsuya, Zhu, Xuefeng, Mohaghegh, Zahra, Ertem, Mehmet, Ostroff, Cheri, and Kee, Ernie. "Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis". Reliability Engineering & System Safety 185 (C). Country unknown/Code not available. https://doi.org/10.1016/j.ress.2018.12.020. https://par.nsf.gov/biblio/10088968.

@article{osti_10088968,
place = {Country unknown/Code not available}, title = {Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis}, url = {https://par.nsf.gov/biblio/10088968}, DOI = {10.1016/j.ress.2018.12.020}, abstractNote = {}, journal = {Reliability Engineering & System Safety}, volume = {185}, number = {C}, author = {Pence, Justin and Sakurahara, Tatsuya and Zhu, Xuefeng and Mohaghegh, Zahra and Ertem, Mehmet and Ostroff, Cheri and Kee, Ernie}, }