Asadi Bagloee S, Tavana M, Withers G, Patriksson M, Asadi M. Tradable mobility permit with Bitcoin and Ethereum – A Blockchain application in transportation. Internet of Things. 2019;8. doi:10.1016/j.iot.2019.100103

Razavi Hajiagha SH, Amoozad Mahdiraji H, Tavana M. A new bi-level data envelopment analysis model for efficiency measurement and target setting. Measurement. 2019;147. doi:10.1016/j.measurement.2019.106877

Aghayi N, Tavana M, Maleki B. A Malmquist Productivity Index with Directional Distance Function and Uncertain Data. Scientia Iranica. 2019;0(0):0-0. doi:10.24200/sci.2018.5259.1173

- S, Tavana M, Shabani A, Singh R. The impact of interwoven integration practices on supply chain value addition and firm performance. Journal of Industrial Engineering International. 2019;15(Suppl 1):39-51. doi:https://doi.org/10.1007/s40092-019-0316-8

Mousavi SM, Alikar N, Tavana M, Di Caprio D. An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems. Journal of Intelligent Manufacturing. 2019;30(3):1175-1194. doi:10.1007/s10845-017-1311-9

Zare H, Tavana M, Mardani A, Masoudian S, Kamali Saraji M. A hybrid data envelopment analysis and game theory model for performance measurement in healthcare. Health Care Management Science. 2019;22(3):475-488. doi:10.1007/s10729-018-9456-4

Santos Arteaga FJ, Tavana M, Di Caprio D, Toloo M. A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution. European Journal of Operational Research. 2019;278(2):448-462. doi:10.1016/j.ejor.2018.09.008

Santos-Arteaga FJ, Torrecillas C, Tavana M. Dynamic effects of learning on the innovative outputs and productivity in Spanish multinational enterprises. The Journal of Technology Transfer. 2019;44(1):97-131. doi:10.1007/s10961-017-9597-5

Talaei-Khoei A, Tavana M, Wilson JM. A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases. Artificial Intelligence in Medicine. 2019;101. doi:10.1016/j.artmed.2019.101750

Tavana M, Khanjani Shiraz R, Di Caprio D. A chance-constrained portfolio selection model with random-rough variables. Neural Computing and Applications. 2019;31():931-945. doi:10.1007/s00521-017-3014-8

Nasiri MM, Ranjbar M, Tavana M, Santos Arteaga FJ, Yazdanparast R. A novel hybrid method for selecting soccer players during the transfer season. Expert Systems. 2019;36(1). doi:10.1111/exsy.12342

Aghayi N, Tavana M. A novel three-stage distance-based consensus ranking method. Journal of Industrial Engineering International. 2019;15(1):17-24. doi:10.1007/s40092-018-0268-4

Hajipour V, Tavana M, Di Caprio D, Akhgar M, Jabbari Y. An optimization model for traceable closed-loop supply chain networks. Applied Mathematical Modelling. 2019;71:673-699. doi:10.1016/j.apm.2019.03.007

Tavana M, Khosrojerdi G, Mina H, Rahman A. A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process. Evaluation and Program Planning. 2019;77. doi:10.1016/j.evalprogplan.2019.101703

Rauchecker G, Schryen G. Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management. ; 2018.

Prester J, Wagner G, Schryen G. Classifying the Ideational Impact of IS Review Articles: A Natural Language Processing Based Approach. In: Proceedings of the 2018 International Conference on Information Systems (ICIS 2018). San Francisco, CA, USA; 2018.

Schillinger R, Schryen G. Security in Highly Connected IT Systems – Results of the Bavarian Research Alliance FORSEC. University of Regensburg; 2018. doi:10.5283/epub.36264

Weishäupl E, Yasasin E, Schryen G. Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning. Computers &; Security. 2018;77:807-823.

Schuster R, Wagner G, Schryen G. Information Systems Design Science Research and Cumulative Knowledge Development: An Exploratory Study. In: Proceedings of the 2018 International Conference on Information Systems (ICIS 2018). San Francisco, CA, USA; 2018.

Hallmann C, Burmeister SC, Wissing M, Suhl L. Heuristics and Simulation for Water Tank Optimization. In: Communications in Computer and Information Science. Cham; 2018. doi:10.1007/978-3-319-96271-9_5

Hallmann C, Kuhlemann S. Model Generator for Water Distribution Systems. In: Operations Research Proceedings. Cham; 2018. doi:10.1007/978-3-319-89920-6_34

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

Tavana M, Abtahi A-R, Di Caprio D, Hashemi R, Yousefi-Zenouz R. An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations. Socio-Economic Planning Sciences. 2018;64:21-37. doi:10.1016/j.seps.2017.12.004

Tavana M, Ebrahimnejad A, Santos-Arteaga FJ, Mansourzadeh SM, Matin RK. A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia. Socio-Economic Planning Sciences. 2018;61:70-89. doi:10.1016/j.seps.2016.09.003

Tavana M, Khalili-Damghani K, Santos Arteaga FJ, Mahmoudi R, Hafezalkotob A. Efficiency decomposition and measurement in two-stage fuzzy DEA models using a bargaining game approach. Computers &; Industrial Engineering. 2018;118:394-408. doi:10.1016/j.cie.2018.03.010

Tavana M, Shahdi-Pashaki S, Teymourian E, Santos-Arteaga FJ, Komaki M. A discrete cuckoo optimization algorithm for consolidation in cloud computing. Computers &;amp; Industrial Engineering. 2018;115:495-511. doi:10.1016/j.cie.2017.12.001

Tavana M, Santos-Arteaga FJ, Di Caprio D. The value of information as a verification and regret-preventing mechanism in algorithmic search environments. Information Sciences. 2018;448-449:187-214. doi:10.1016/j.ins.2018.03.032

Tavana M, Di Caprio D, Santos-Arteaga FJ. An extended stochastic VIKOR model with decision maker’s attitude towards risk. Information Sciences. 2018;432:301-318. doi:10.1016/j.ins.2017.12.019

Aziz H, Rauchecker G, Schryen G, Walsh T. Algorithms for Max-Min Share Fair Allocation of Indivisible Chores. In: Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). Vol 31. ; 2017:1-7.

Wagner G, Prester J, Schryen G. Exploring the Scientific Impact of Information Systems Design Science Research: A Scientometric Study. In: 38th International Conference on Information Systems. ; 2017.

Schryen G, Hristova D. High-Performance Business Computing - Effizienzsteigerung durch Parallelisierung. Smart Data Radar (Deutsche Bank). 2017.

Schryen G, Benlian A, Rowe F, et al. Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields? Communications of the AIS. 2017;40:557-569.

Scholz M, Dorner V, Schryen G, Benlian A. A configuration-based recommender system for supporting e-commerce decisions. European Journal of Operational Research. 2017;259(1):205-215.

Beckschäfer M, Malberg S, Tierney K, Weskamp C. Simulating Storage Policies for an Automated Grid-Based Warehouse System. In: Lecture Notes in Computer Science. Cham; 2017. doi:10.1007/978-3-319-68496-3_31

Tavana M, Yazdani M, Di Caprio D. An application of an integrated ANP–QFD framework for sustainable supplier selection. International Journal of Logistics Research and Applications. 2017;20(3):254-275. doi:10.1080/13675567.2016.1219702

Tavana M, Khalili-Damghani K, Santos-Arteaga FJ, Zandi M-H. Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products. Expert Systems with Applications. 2017;72:93-107. doi:10.1016/j.eswa.2016.12.014