Tavana M, Nazari-Shirkouhi S, Farzaneh Kholghabad H. An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis. Health Care Management Science. 2021;24(4):768-785. doi:10.1007/s10729-021-09550-8

Tavana M, Shaabani A, Valaei N. An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing. International Journal of Quality &; Reliability Management. 2021;38(1):116-146. doi:10.1108/ijqrm-06-2019-0196

Soares GP, Tortorella G, Bouzon M, Tavana M. A fuzzy maturity-based method for lean supply chain management assessment. International Journal of Lean Six Sigma. 2021;12(5):1017-1045. doi:10.1108/ijlss-08-2020-0123

Tavana M, Toloo M, Aghayi N, Arabmaldar A. A robust cross-efficiency data envelopment analysis model with undesirable outputs. Expert Systems with Applications. 2021;167. doi:10.1016/j.eswa.2020.114117

Mancini D, Lombardi R, Tavana M. Four research pathways for understanding the role of smart technologies in accounting. Meditari Accountancy Research. 2021;29(5):1041-1062. doi:10.1108/medar-03-2021-1258

Tavana M, Izadikhah M, Toloo M, Roostaee R. A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures. Omega. 2021;102. doi:10.1016/j.omega.2020.102355

Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.; 2020.

Wagner G, Empl P, Schryen G. Designing a Novel Strategy for Exploring Literature Corpora. In: 28th European Conference on Information Systems (ECIS 2020). ; 2020.

Schryen G. Integrating Management Science into the HPC Research Ecosystem. Communications of the ACM. 2020;63(9):35-37.

Schryen G, Kliewer N, Fink A. Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges". Business &; Information Systems Engineering. 2020;62(01/2020):21-23.

Schryen G. Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research. 2020;287(1):1-18.

Szubartowicz E, Schryen G. Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements. Journal of Information System Security. 2020;16(1):3-31.

Schryen G, Wagner G, Benlian A, Paré G. A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field. Communications of the AIS. 2020;46:134-186. doi:10.17705/1CAIS.04607

Schryen G, Kliewer N, Fink A. High Performance Business Computing. Business &; Information Systems Engineering. 2020;62(1):1-3. doi:10.1007/s12599-019-00622-2

Yasasin E, Prester J, Wagner G, Schryen G. Forecasting IT Security Vulnerabilities - An Empirical Analysis. Computers &; Security. 2020;88(January).

Hajipour V, Tavana M, Santos-Arteaga FJ, Alinezhad A, Di Caprio D. An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness. Journal of Computational Design and Engineering. 2020;7(4):469-488. doi:10.1093/jcde/qwaa039

Aziz AA, Mousavi SM, Tavana M, Niaki STA. An investigation of the robustness in the Travelling Salesman problem routes using special structured matrices. International Journal of Systems Science: Operations &; Logistics. 2020;7(2):172-181. doi:10.1080/23302674.2018.1551584

Santos-Arteaga FJ, Tavana M, Torrecillas C, Di Caprio D. INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE. Technological and Economic Development of Economy. 2020;26(6):1366-1398. doi:10.3846/tede.2020.13521

Jafari Songhori M, Tavana M, Terano T. Product development team formation: effects of organizational- and product-related factors. Computational and Mathematical Organization Theory. 2020;26(1):88-122. doi:10.1007/s10588-019-09302-8

Kaviani MA, Tavana M, Kowsari F, Rezapour R. Supply chain resilience: a benchmarking model for vulnerability and capability assessment in the automotive industry. Benchmarking: An International Journal. 2020;27(6):1929-1949. doi:10.1108/bij-01-2020-0049

Tavana M, Shaabani A, Javier Santos-Arteaga F, Raeesi Vanani I. A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics. Energies. 2020;13(15). doi:10.3390/en13153947

Tavana M, Hajipour V, Oveisi S. IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions. Internet of Things. 2020;11. doi:10.1016/j.iot.2020.100262

Tavana M, Amoozad Mahdiraji H, Beheshti M, Abbasi Kamardi A. Optimal strategic alliance in multiechelon supply chains with open innovation. Managerial and Decision Economics. 2020;41(7):1365-1384. doi:10.1002/mde.3181

Tavana M, Hajipour V. A practical review and taxonomy of fuzzy expert systems: methods and applications. Benchmarking: An International Journal. 2020;27(1):81-136. doi:10.1108/bij-04-2019-0178

Kaviani MA, Tavana M, Kumar A, Michnik J, Niknam R, Campos EAR de. An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry. Journal of Cleaner Production. 2020;272. doi:10.1016/j.jclepro.2020.122714

Hashemi Petrudi SH, Tavana M, Abdi M. A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society. International Journal of Disaster Risk Reduction. 2020;42. doi:10.1016/j.ijdrr.2019.101340

Farughi H, Tavana M, Mostafayi S, Santos Arteaga FJ. A novel optimization model for designing compact, balanced, and contiguous healthcare districts. Journal of the Operational Research Society. 2020;71(11):1740-1759. doi:10.1080/01605682.2019.1621217

Yazdani M, Tavana M, Pamudar D, Chatterjee P. A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers &;amp; Industrial Engineering. 2020;143. doi:10.1016/j.cie.2020.106394

Khanjani Shiraz R, Tavana M, Fukuyama H. A random-fuzzy portfolio selection DEA model using value-at-risk and conditional value-at-risk. Soft Computing. 2020;24(22):17167-17186. doi:10.1007/s00500-020-05010-7

Ebrahimi B, Dellnitz A, Kleine A, Tavana M. A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures. Expert Systems with Applications. 2020;164. doi:10.1016/j.eswa.2020.113835

Ebrahimi B, Tavana M, Toloo M, Charles V. A novel mixed binary linear DEA model for ranking decision-making units with preference information. Computers &; Industrial Engineering. 2020;149. doi:10.1016/j.cie.2020.106720

Zaretalab A, Hajipour V, Tavana M. Redundancy allocation problem with multi-state component systems and reliable supplier selection. Reliability Engineering &; System Safety. 2020;193. doi:10.1016/j.ress.2019.106629

Santos-Arteaga FJ, Tavana M, Di Caprio D. A new model for evaluating subjective online ratings with uncertain intervals. Expert Systems with Applications. 2020;139. doi:10.1016/j.eswa.2019.112850

Vafadarnikjoo A, Tavana M, Botelho T, Chalvatzis K. A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria. Annals of Operations Research. 2020;289(2):391-418. doi:10.1007/s10479-020-03603-x

Tavana M, Khalili-Damghani K, Santos Arteaga FJ, Hashemi A. A Malmquist productivity index for network production systems in the energy sector. Annals of Operations Research. 2020;284(1):415-445. doi:10.1007/s10479-019-03173-7

Tavana M, Mousavi SMH, Mina H, Salehian F. A dynamic decision support system for evaluating peer-to-peer rental accommodations in the sharing economy. International Journal of Hospitality Management. 2020;91. doi:10.1016/j.ijhm.2020.102653

Jafarian A, Rabiee M, Tavana M. A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties. International Journal of Production Economics. 2020;228. doi:10.1016/j.ijpe.2020.107852

Tavana M, Khosrojerdi G, Mina H, Rahman A. A new dynamic two-stage mathematical programming model under uncertainty for project evaluation and selection. Computers &; Industrial Engineering. 2020;149. doi:10.1016/j.cie.2020.106795

Rauchecker G, Schryen G. An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response. European Journal of Operational Research. 2019;272(1):352-363.

Rauchecker G, Schryen G. Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm. Computers &; Operations Research. 2019;(104):338-357.

Schuhbeck V, Siegfried N, Dorner V, Benlian A, Scholz M, Schryen G. Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents. In: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik. Siegen, Germany; 2019:55-64.

Kuhlemann S, Sellmann M, Tierney K. Exploiting Counterfactuals for Scalable Stochastic Optimization. In: Lecture Notes in Computer Science. Cham; 2019. doi:10.1007/978-3-030-30048-7_40

Schryen G, Kliewer N, Borndörfer R, Koch T. High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis. OR News. 2019;65:34-35.

Toloo M, Tavana M, Santos-Arteaga FJ. An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights. Central European Journal of Operations Research. 2019;27(4):887-904. doi:10.1007/s10100-017-0510-y

Mousavi SM, Tavana M, Alikar N, Zandieh M. A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. Neural Computing and Applications. 2019;31(3):873-885. doi:10.1007/s00521-017-3115-4

Ebrahimnejad A, Tavana M, Nasseri SH, Gholami O. A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data. International Journal of Information Technology &;amp; Decision Making. 2019;18(01):147-170. doi:10.1142/s0219622018500396

Tavana M, Khalili-Damghani K, Santos Arteaga FJ, Hosseini A. A fuzzy multi-objective multi-period network DEA model for efficiency measurement in oil refineries. Computers &; Industrial Engineering. 2019;135:143-155. doi:10.1016/j.cie.2019.05.033

Di Caprio D, Santos-Arteaga FJ, Tavana M. The role of anticipated emotions and the value of information in determining sequential search incentives. Operations Research Perspectives. 2019;6. doi:10.1016/j.orp.2019.100106

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

Rauchecker G, Schryen G. Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer. Im Einsatz. 2016;23:44-46.

Wagner G, Prester J, Roche M, Benlian A, Schryen G. Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric Study. In: International Conference on Information Systems. ; 2016.

Schryen G, Wagner G, Schlegel A. Development of two novel face-recognition CAPTCHAs: a security and usability study. Computers &; Security. 2016;60(July):95-116.

Rauchecker G, Schryen G. High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic. In: Australasian Conference on Information Systems. ; 2015:1-13.