Kohlmeyer T, Reis O. Liturgie und Schule in der Partizipationsfalle – Warum das Versprechen auf Partizipation an Liturgie und Bildung ein Trugbild bleibt. Theo-Web Zeitschrift für Religionspädagogik Academic Journal of Religious Education. 2018;17(2):248–262. doi:10.23770/tw0075

Büttner G, Reis O. Welche (Religiösen) Praktiken erzeugt der RU? KatBl. 2018;143(4):313-317.

Grethlein C, Reis O. Art aAbendmahl / Eucharistie8. In: WiReLex 2/2018. ; 2018.

Frühbis-Krüger A, Kemper G, Koepf W, Liebendörfer M. CAS in der Hochschullehre - Ein Blick in die Praxis. In: Beiträge Zum Mathematikunterricht 2018. WTM-Verlag; 2018:83-84.

Frühbis-Krüger A, Liebendörfer M. Minisymposium CAS in der Hochschullehre - ein Blick in die Praxis. Computeralgebra-Rundbrief. 2018;(63).

Ebrahimi B, Tavana M, Rahmani M, Santos-Arteaga FJ. Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data. Neural Computing and Applications. 2018;30(6):1971-1982. doi:10.1007/s00521-016-2826-2

Banakar Z, Tavana M, Huff B, Di Caprio D. A bank merger predictive model using the Smoluchowski stochastic coagulation equation and reverse engineering. International Journal of Bank Marketing. 2018;36(4):634-662. doi:10.1108/ijbm-05-2017-0106

Razavi Hajiagha SH, Amoozad Mahdiraji H, Tavana M, Hashemi SS. A novel common set of weights method for multi-period efficiency measurement using mean-variance criteria. Measurement. 2018;129:569-581. doi:10.1016/j.measurement.2018.07.061

Mobin M, Mousavi SM, Komaki M, Tavana M. A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms. Measurement. 2018;114:417-427. doi:10.1016/j.measurement.2017.10.009

Shiraz RK, Tavana M, Di Caprio D. Chance-constrained data envelopment analysis modeling with random-rough data. RAIRO - Operations Research. 2018;52(1):259-284. doi:10.1051/ro/2016076

Chión SJ, Charles V, Tavana M. Impact of incentive schemes and personality-tradeoffs on two-agent coopetition with numerical estimations. Measurement. 2018;125:182-195. doi:10.1016/j.measurement.2018.03.075

Tavana M, Zareinejad M, Santos-Arteaga FJ. An intuitionistic fuzzy-grey superiority and inferiority ranking method for third-party reverse logistics provider selection. International Journal of Systems Science: Operations &; Logistics. 2018;5(2):175-194. doi:10.1080/23302674.2016.1256448

Tavana M, Santos-Arteaga FJ, Mahmoodirad A, Niroomand S, Sanei M. Multi-stage supply chain network solution methods: hybrid metaheuristics and performance measurement. International Journal of Systems Science: Operations &; Logistics. 2018;5(4):356-373. doi:10.1080/23302674.2017.1316877

Tavana M, Khalili-Damghani K, Di Caprio D, Oveisi Z. An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems. Neural Computing and Applications. 2018;30(1):127-139. doi:10.1007/s00521-016-2676-y

Tavana M, Caprio DD, Santos-Arteaga FJ. STRATEGIC SIGNALING AND NEW TECHNOLOGICALLY SUPERIOR PRODUCT INTRODUCTION: A GAME-THEORETIC MODEL WITH SIMULATION. Technological and Economic Development of Economy. 2018;24(4):1466-1498. doi:10.3846/tede.2018.4531

Izadikhah M, Tavana M, Di Caprio D, Santos-Arteaga FJ. A novel two-stage DEA production model with freely distributed initial inputs and shared intermediate outputs. Expert Systems with Applications. 2018;99:213-230. doi:10.1016/j.eswa.2017.11.005

Esmaelian M, Tavana M, Santos-Arteaga FJ, Vali M. A novel genetic algorithm based method for solving continuous nonlinear optimization problems through subdividing and labeling. Measurement. 2018;115:27-38. doi:10.1016/j.measurement.2017.09.034

Tavana M, Izadikhah M, Di Caprio D, Farzipoor Saen R. A new dynamic range directional measure for two-stage data envelopment analysis models with negative data. Computers &; Industrial Engineering. 2018;115:427-448. doi:10.1016/j.cie.2017.11.024

Sodenkamp MA, Tavana M, Di Caprio D. An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets. Applied Soft Computing. 2018;71:715-727. doi:10.1016/j.asoc.2018.07.020

Tavana M, Abtahi A-R, Di Caprio D, Poortarigh M. An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking. Neurocomputing. 2018;275:2525-2554. doi:10.1016/j.neucom.2017.11.034