@article{53224,
  author       = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid}},
  issn         = {{0040-1625}},
  journal      = {{Technological Forecasting and Social Change}},
  keywords     = {{Management of Technology and Innovation, Applied Psychology, Business and International Management}},
  publisher    = {{Elsevier BV}},
  title        = {{{A combinatorial data envelopment analysis with uncertain interval data with application to ICT evaluation}}},
  doi          = {{10.1016/j.techfore.2023.122510}},
  volume       = {{191}},
  year         = {{2023}},
}

@article{53225,
  author       = {{Hilbert, Markus and Dellnitz, Andreas and Kleine, Andreas and Tavana, Madjid}},
  issn         = {{0360-8352}},
  journal      = {{Computers & Industrial Engineering}},
  keywords     = {{General Engineering, General Computer Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel indicator for sustainability in production planning using Center of Gravity-based assessment of Pareto fronts}}},
  doi          = {{10.1016/j.cie.2023.109618}},
  volume       = {{185}},
  year         = {{2023}},
}

@article{53222,
  author       = {{Sorooshian, Shahryar and Tavana, Madjid and Ribeiro-Navarrete, Samuel}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Marketing}},
  publisher    = {{Elsevier BV}},
  title        = {{{From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research}}},
  doi          = {{10.1016/j.jbusres.2022.113642}},
  volume       = {{157}},
  year         = {{2023}},
}

@article{53231,
  author       = {{Hajipour, Vahid and Niaki, Seyed Taghi Akhavan and Tavana, Madjid and Santos-Arteaga, Francisco J. and Hosseinzadeh, Sanaz}},
  issn         = {{2666-8270}},
  journal      = {{Machine Learning with Applications}},
  keywords     = {{General Medicine}},
  publisher    = {{Elsevier BV}},
  title        = {{{A comparative performance analysis of intelligence-based algorithms for optimizing competitive facility location problems}}},
  doi          = {{10.1016/j.mlwa.2022.100443}},
  volume       = {{11}},
  year         = {{2023}},
}

@article{53230,
  author       = {{Mahdiraji, Hannan Amoozad and Tavana, Madjid and Rezayar, Ali}},
  issn         = {{0196-9722}},
  journal      = {{Cybernetics and Systems}},
  keywords     = {{Artificial Intelligence, Information Systems, Software}},
  number       = {{1}},
  pages        = {{104--137}},
  publisher    = {{Informa UK Limited}},
  title        = {{{A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability}}},
  doi          = {{10.1080/01969722.2022.2055402}},
  volume       = {{54}},
  year         = {{2023}},
}

@article{54183,
  author       = {{Tavana, Madjid and Sorooshian, Shahryar and Mina, Hassan}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains}}},
  doi          = {{10.1007/s10479-023-05680-0}},
  year         = {{2023}},
}

@article{54182,
  author       = {{Tavana, Madjid and Arman, Hosein and Hadi-Vencheh, Abdollah and Mansoori, Sadegh}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A fuzzy multi-objective optimization model for sustainable location planning using volumetric fuzzy sets}}},
  doi          = {{10.1007/s10479-023-05505-0}},
  year         = {{2023}},
}

@article{54186,
  author       = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid}},
  issn         = {{1868-7865}},
  journal      = {{Journal of the Knowledge Economy}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Information and Communication Technologies and Labor Productivity: A Dynamic Slacks-Based Data Envelopment Analysis}}},
  doi          = {{10.1007/s13132-023-01634-w}},
  year         = {{2023}},
}

@article{54184,
  author       = {{Tavana, Madjid and Sohrabi, Mahsa and Rezaei, Homa and Sorooshian, Shahryar and Mina, Hassan}},
  issn         = {{0266-4720}},
  journal      = {{Expert Systems}},
  publisher    = {{Wiley}},
  title        = {{{A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data}}},
  doi          = {{10.1111/exsy.13395}},
  year         = {{2023}},
}

@article{54185,
  author       = {{Tavana, Madjid and Keikha, Abazar and Santos-Arteaga, Francisco J.}},
  issn         = {{1432-7643}},
  journal      = {{Soft Computing}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A hesitant fuzzy group decision-making framework with data credibility and strategic evaluations}}},
  doi          = {{10.1007/s00500-023-09497-8}},
  year         = {{2023}},
}

@article{54180,
  author       = {{Tavana, Madjid and Khalili Nasr, Arash and Santos-Arteaga, Francisco J. and Saberi, Esmaeel and Mina, Hassan}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks}}},
  doi          = {{10.1007/s10479-023-05219-3}},
  year         = {{2023}},
}

@article{53232,
  abstract     = {{<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&amp;D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&amp;D as a strategy to invigorate innovation. R&amp;D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&amp;D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&amp;D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&amp;D projects with the organizational vision and mission.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>This article proposes a new strategic approach for R&amp;D project portfolio selection using efficiency-uncertainty maps.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The proposed strategy plane helps decision-makers align R&amp;D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&amp;D projects.</jats:p></jats:sec>}},
  author       = {{Namazi, Mehdi and Tavana, Madjid and Mohammadi, Emran and Bonyadi Naeini, Ali}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  keywords     = {{Business and International Management, Strategy and Management}},
  number       = {{10}},
  pages        = {{4193--4220}},
  publisher    = {{Emerald}},
  title        = {{{A new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps}}},
  doi          = {{10.1108/bij-02-2022-0129}},
  volume       = {{30}},
  year         = {{2023}},
}

@article{42179,
  author       = {{Burmeister, Sascha Christian and Schryen, Guido}},
  journal      = {{Energy Systems}},
  publisher    = {{Springer}},
  title        = {{{Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators}}},
  doi          = {{10.1007/s12667-023-00572-5}},
  year         = {{2023}},
}

@article{44361,
  author       = {{Schryen, Guido and Sperling, Martina}},
  journal      = {{Computers & Operations Research}},
  number       = {{September}},
  title        = {{{Literature Reviews in Operations Research: A New Taxonomy and a Meta Review}}},
  volume       = {{157}},
  year         = {{2023}},
}

@article{44383,
  author       = {{Dieter, Peter and Caron, Matthew and Schryen, Guido}},
  journal      = {{European Journal of Operational Research (EJOR)}},
  number       = {{1}},
  pages        = {{283--300}},
  title        = {{{Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework}}},
  doi          = {{https://doi.org/10.1016/j.ejor.2023.04.043}},
  volume       = {{311}},
  year         = {{2023}},
}

@article{45816,
  author       = {{Dieter, Peter and Stumpe, Miriam and Ulmer, Marlin Wolf and Schryen, Guido}},
  journal      = {{Transportation Research Part D}},
  title        = {{{Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing}}},
  volume       = {{121}},
  year         = {{2023}},
}

@inbook{46867,
  author       = {{Dieter, Peter}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031436116}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows}}},
  doi          = {{10.1007/978-3-031-43612-3_14}},
  year         = {{2023}},
}

@article{47431,
  author       = {{Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}},
  journal      = {{Flexible Services and Manufacturing Journal}},
  pages        = {{1530 -- 1570}},
  publisher    = {{Springer}},
  title        = {{{A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs}}},
  doi          = {{10.1007/s10696-023-09517-7}},
  volume       = {{36}},
  year         = {{2023}},
}

@article{45112,
  author       = {{Beverungen, Daniel and Kundisch, Dennis and Mirbabaie, Milad and Müller, Oliver and Schryen, Guido and Trang, Simon Thanh-Nam and Trier, Matthias}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{4}},
  pages        = {{463 -- 474}},
  title        = {{{Digital Responsibility – a Multilevel Framework for Responsible Digitalization}}},
  doi          = {{10.1007/s12599-023-00822-x}},
  volume       = {{65}},
  year         = {{2023}},
}

@article{23415,
  author       = {{Sperling, Martina and Schryen, Guido}},
  journal      = {{European Journal of Operational Research (EJOR)}},
  number       = {{2}},
  pages        = {{690 -- 705}},
  title        = {{{Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers}}},
  volume       = {{299}},
  year         = {{2022}},
}