@article{53215,
author = {{Tavana, Madjid and Heidary, Mohammad Saeed and Mina, Hassan}},
issn = {{1568-4946}},
journal = {{Applied Soft Computing}},
keywords = {{Software}},
publisher = {{Elsevier BV}},
title = {{{A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA}}},
doi = {{10.1016/j.asoc.2023.110572}},
volume = {{145}},
year = {{2023}},
}
@article{53229,
author = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid and Tena, Emilio Cerda}},
issn = {{1063-6706}},
journal = {{IEEE Transactions on Fuzzy Systems}},
keywords = {{Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering}},
number = {{2}},
pages = {{460--474}},
publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}},
title = {{{A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation}}},
doi = {{10.1109/tfuzz.2022.3188875}},
volume = {{31}},
year = {{2023}},
}
@article{53226,
author = {{Marín, Raquel and Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}},
issn = {{2444-569X}},
journal = {{Journal of Innovation & Knowledge}},
keywords = {{Management of Technology and Innovation, Marketing, Economics and Econometrics, Business and International Management}},
number = {{4}},
publisher = {{Elsevier BV}},
title = {{{Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises}}},
doi = {{10.1016/j.jik.2023.100454}},
volume = {{8}},
year = {{2023}},
}
@article{53228,
author = {{Tirkolaee, Erfan Babaee and Torkayesh, Ali Ebadi and Tavana, Madjid and Goli, Alireza and Simic, Vladimir and Ding, Weiping}},
issn = {{0952-1976}},
journal = {{Engineering Applications of Artificial Intelligence}},
keywords = {{Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering}},
publisher = {{Elsevier BV}},
title = {{{An integrated decision support framework for resilient vaccine supply chain network design}}},
doi = {{10.1016/j.engappai.2023.106945}},
volume = {{126}},
year = {{2023}},
}
@article{53221,
author = {{Soltanifar, Mehdi and Tavana, Madjid and Santos-Arteaga, Francisco J. and Sharafi, Hamid}},
issn = {{1462-9011}},
journal = {{Environmental Science & Policy}},
keywords = {{Management, Monitoring, Policy and Law, Geography, Planning and Development}},
pages = {{89--102}},
publisher = {{Elsevier BV}},
title = {{{A hybrid multi-attribute decision-making and data envelopment analysis model with heterogeneous attributes: The case of sustainable development goals}}},
doi = {{10.1016/j.envsci.2023.06.004}},
volume = {{147}},
year = {{2023}},
}
@article{53227,
author = {{Deveci, Muhammet and Pamucar, Dragan and Gokasar, Ilgin and Tavana, Madjid}},
issn = {{0273-1177}},
journal = {{Advances in Space Research}},
keywords = {{Space and Planetary Science, Aerospace Engineering, General Earth and Planetary Sciences, Atmospheric Science, Geophysics, Astronomy and Astrophysics}},
number = {{9}},
pages = {{3534--3551}},
publisher = {{Elsevier BV}},
title = {{{Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods}}},
doi = {{10.1016/j.asr.2022.07.056}},
volume = {{71}},
year = {{2023}},
}
@article{53223,
author = {{Dellnitz, Andreas and Tavana, Madjid and Banker, Rajiv}},
issn = {{0254-5330}},
journal = {{Annals of Operations Research}},
keywords = {{Management Science and Operations Research, General Decision Sciences}},
number = {{2}},
pages = {{661--690}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis}}},
doi = {{10.1007/s10479-022-04937-4}},
volume = {{322}},
year = {{2023}},
}
@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{46478,
abstract = {{High streets across Europe continue to lose consumers to online retail, leading to business closures and the decline of city centres, impairing cities’ overall liveability. To counter this vicious cycle, our study presents smartmarket2, the first instantiation of a digital actor engagement platform designed specifically for high streets. smartmarket2 enables hybrid online-offline customer journeys by connecting consumers to stores and other high street service providers. In an action design research (ADR) project, we design, implement and evaluate smartmarket2, involving 150 high street operators and 2,300 citizens in three cycles of building, intervention and evaluation. We derive four design principles that contribute prescriptive knowledge on the design of digital actor engagement platforms. Our results reveal that such a platform is able to increase engagement, but that it is subject to actors’ engagement dispositions.}},
author = {{Bartelheimer, Christian and zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}},
issn = {{0960-085X}},
journal = {{European Journal of Information Systems}},
keywords = {{Digital platform, action design research, design principles, actor engagement, engagement platform, location-based advertising}},
pages = {{1--34}},
publisher = {{Taylor & Francis}},
title = {{{Designing digital actor engagement platforms for local high streets: an action design research study}}},
doi = {{10.1080/0960085x.2023.2242847}},
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 = {{PurposeNew business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&D as a strategy to invigorate innovation. R&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&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&D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&D projects with the organizational vision and mission.Design/methodology/approachThis article proposes a new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps.FindingsThe proposed strategy plane helps decision-makers align R&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.Originality/valueThe 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&D projects.}},
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}},
}