Sloane, H. S., &; Heidebrecht, J. (2023). Entwurfsmuster: Fachsensible wissenschaftliche Begleitung. TURN conference 2023, TH Köln.

Althaus, M., Grieger, N., Vorbohle, C., Müller, M., &; Kundisch, D. (n.d.). Business Models for Cultural Event Platforms - A Taxonomy Approach. Proceedings of the 15th Mediterranean Conference on Information Systems (MCIS). The 15th Mediterranean Conference on Information Systems (MCIS), The 6th Middle East &; North Africa Conference on digital Information Systems (MENACIS), Madrid, Spanien.

Amberger, H., Siahaan, F., &; Sureth-Sloane, C. (2023). Turnover-Based Corporate Income Taxation and Corporate Risk-Taking. TRR 266 Accounting for Transparency.https://doi.org/10.2139/ssrn.4589055 

Jenert, T. (2023). Design-Based Research als Erforschung und Gestaltung von Interaktionsprozessen zwischen Wissenschaft und Bildungspraxis. In H.-H. Kremer, H. Ertl, &; P. F. E. Sloane (Eds.), Wissenschaft trifft Praxis – Designbasierte Forschung in der beruflichen Bildung (pp. 11–24). Bundesinstitut für Berufsbildung.

Tavana, M., Khalili Nasr, A., Ahmadabadi, A. B., Amiri, A. S., &; Mina, H. (2023). An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks. Internet of Things, 22, Article 100786.https://doi.org/10.1016/j.iot.2023.100786 

Tavana, M., Soltanifar, M., Santos-Arteaga, F. J., &; Sharafi, H. (2023). Analytic hierarchy process and data envelopment analysis: A match made in heaven. Expert Systems with Applications, 223, Article 119902.https://doi.org/10.1016/j.eswa.2023.119902 

Tavana, M., Hajipour, V., Alaghebandha, M., &; Di Caprio, D. (2023). A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems. Machine Learning with Applications, 11, Article 100445.https://doi.org/10.1016/j.mlwa.2022.100445 

Tavana, M., Mina, H., &; Santos-Arteaga, F. J. (2023). A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA. Journal of Business Research, 154, Article 113272.https://doi.org/10.1016/j.jbusres.2022.08.036 

Tavana, M., Soltanifar, M., &; Santos-Arteaga, F. J. (2023). Analytical hierarchy process: revolution and evolution. Annals of Operations Research, 326(2), 879–907.https://doi.org/10.1007/s10479-021-04432-2 

Tavana, M., Heidary, M. S., &; Mina, H. (2023). A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA. Applied Soft Computing, 145, Article 110572.https://doi.org/10.1016/j.asoc.2023.110572 

Santos-Arteaga, F. J., Di Caprio, D., Tavana, M., &; Tena, E. C. (2023). A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation. IEEE Transactions on Fuzzy Systems, 31(2), 460–474.https://doi.org/10.1109/tfuzz.2022.3188875 

Marín, R., Santos-Arteaga, F. J., Tavana, M., &; Di Caprio, D. (2023). Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises. Journal of Innovation &; Knowledge, 8(4), Article 100454.https://doi.org/10.1016/j.jik.2023.100454 

Tirkolaee, E. B., Torkayesh, A. E., Tavana, M., Goli, A., Simic, V., &; Ding, W. (2023). An integrated decision support framework for resilient vaccine supply chain network design. Engineering Applications of Artificial Intelligence, 126, Article 106945.https://doi.org/10.1016/j.engappai.2023.106945 

Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., &; Sharafi, H. (2023). A hybrid multi-attribute decision-making and data envelopment analysis model with heterogeneous attributes: The case of sustainable development goals. Environmental Science &; Policy, 147, 89–102.https://doi.org/10.1016/j.envsci.2023.06.004 

Deveci, M., Pamucar, D., Gokasar, I., &; Tavana, M. (2023). Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods. Advances in Space Research, 71(9), 3534–3551.https://doi.org/10.1016/j.asr.2022.07.056 

Dellnitz, A., Tavana, M., &; Banker, R. (2023). A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis. Annals of Operations Research, 322(2), 661–690.https://doi.org/10.1007/s10479-022-04937-4 

Santos-Arteaga, F. J., Di Caprio, D., &; Tavana, M. (2023). A combinatorial data envelopment analysis with uncertain interval data with application to ICT evaluation. Technological Forecasting and Social Change, 191, Article 122510.https://doi.org/10.1016/j.techfore.2023.122510 

Hilbert, M., Dellnitz, A., Kleine, A., &; Tavana, M. (2023). A novel indicator for sustainability in production planning using Center of Gravity-based assessment of Pareto fronts. Computers &; Industrial Engineering, 185, Article 109618.https://doi.org/10.1016/j.cie.2023.109618 

Sorooshian, S., Tavana, M., &; Ribeiro-Navarrete, S. (2023). From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research. Journal of Business Research, 157, Article 113642.https://doi.org/10.1016/j.jbusres.2022.113642 

Namazi, M., Tavana, M., Mohammadi, E., &; Bonyadi Naeini, A. (2023). A new strategic approach for R&;amp;D project portfolio selection using efficiency-uncertainty maps. Benchmarking: An International Journal, 30(10), 4193–4220.https://doi.org/10.1108/bij-02-2022-0129