@article{53254,
  author       = {{Tavana, Madjid and Shaabani, Akram and Raeesi Vanani, Iman and Kumar Gangadhari, Rajan}},
  issn         = {{2227-9717}},
  journal      = {{Processes}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  title        = {{{A Review of Digital Transformation on Supply Chain Process Management Using Text Mining}}},
  doi          = {{10.3390/pr10050842}},
  volume       = {{10}},
  year         = {{2022}},
}

@inproceedings{21093,
  abstract     = {{Requirements for energy distribution networks are changing fast due to the growing share of renewable energy, increasing electrification, and novel consumer and asset technologies. Since uncertainties about future developments increase planning difficulty, flexibility potentials such as synergies between the electricity, gas, heat, and transport sector often remain unused. In this paper, we therefore present a novel module-based concept for a decision support system that helps distribution network planners to identify cross-sectoral synergies and to select optimal network assets such as transformers, cables, pipes, energy storage systems or energy conversion technology. The concept enables long-term transformation plans and supports distribution network planners in designing reliable, sustainable and cost-efficient distribution networks for future demands.}},
  author       = {{Kirchhoff, Jonas and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}},
  booktitle    = {{Energy Informatics and Electro Mobility ICT}},
  editor       = {{Breitner, Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt, Christof and Werth, Oliver}},
  title        = {{{Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning}}},
  year         = {{2021}},
}

@article{20212,
  abstract     = {{Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain.
}},
  author       = {{Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi}},
  journal      = {{Decision Support Systems}},
  keywords     = {{Ideational impact, citation classification, academic recommender systems, natural language processing, deep learning, cumulative tradition}},
  number       = {{January}},
  title        = {{{Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach}}},
  volume       = {{140}},
  year         = {{2021}},
}

@article{20844,
  abstract     = {{Review papers are essential for knowledge development in IS. While some are cited twice a day, others accumulate single digit citations over a decade. The magnitude of these differences prompts us to analyze what distinguishes those reviews that have proven to be integral to scientific progress from those that might be considered less impactful. Our results highlight differences between reviews aimed at describing, understanding, explaining, and theory testing. Beyond the control variables, they demonstrate the importance of methodological transparency and the development of research agendas. These insights inform all stakeholders involved in the development and publication of review papers.}},
  author       = {{Wagner, Gerit and Prester, Julian and Roche, Maria and Schryen, Guido and Benlian, Alexander and Paré, Guy and Templier, Mathieu}},
  journal      = {{Information & Management}},
  keywords     = {{Literature review, review papers, scientometric, scientific impact, citation analysis}},
  number       = {{3}},
  title        = {{{Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study}}},
  volume       = {{58}},
  year         = {{2021}},
}

@article{23494,
  author       = {{Stumpe, Miriam and Rößler, David and Schryen, Guido and Kliewer, Natalia}},
  journal      = {{EURO Journal on Transportation and Logistics}},
  title        = {{{Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules}}},
  doi          = {{https://doi.org/10.1016/j.ejtl.2021.100049}},
  volume       = {{10}},
  year         = {{2021}},
}

@article{17934,
  author       = {{Wagner, Gerit and Prester, Julian and Schryen, Guido}},
  journal      = {{Communications of the Association for Information Systems}},
  number       = {{1}},
  title        = {{{Exploring the Scientific Impact of Information Systems Design Science Research}}},
  volume       = {{48}},
  year         = {{2021}},
}

@article{53860,
  author       = {{Tavana, Madjid and Mousavi, Hossein and Khalili Nasr, Arash and Mina, Hassan}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  publisher    = {{Elsevier BV}},
  title        = {{{A fuzzy weighted influence non-linear gauge system with application to advanced technology assessment at NASA}}},
  doi          = {{10.1016/j.eswa.2021.115274}},
  volume       = {{182}},
  year         = {{2021}},
}

@article{53864,
  author       = {{Tavana, Madjid and Izadikhah, Mohammad and Farzipoor Saen, Reza and Zare, Ramin}},
  issn         = {{0944-1344}},
  journal      = {{Environmental Science and Pollution Research}},
  number       = {{1}},
  pages        = {{664--682}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management}}},
  doi          = {{10.1007/s11356-020-10353-7}},
  volume       = {{28}},
  year         = {{2021}},
}

@article{53868,
  author       = {{Tavana, Madjid and Shaabani, Akram and Santos-Arteaga, Francisco J. and Valaei, Naser}},
  issn         = {{0944-1344}},
  journal      = {{Environmental Science and Pollution Research}},
  number       = {{38}},
  pages        = {{53953--53982}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics}}},
  doi          = {{10.1007/s11356-021-14302-w}},
  volume       = {{28}},
  year         = {{2021}},
}

@article{53865,
  author       = {{Tavana, Madjid and Shaabani, Akram and Mansouri Mohammadabadi, Soleyman and Varzgani, Nilofar}},
  issn         = {{2330-2674}},
  journal      = {{International Journal of Systems Science: Operations & Logistics}},
  number       = {{3}},
  pages        = {{238--261}},
  publisher    = {{Informa UK Limited}},
  title        = {{{An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection}}},
  doi          = {{10.1080/23302674.2020.1737754}},
  volume       = {{8}},
  year         = {{2021}},
}

@article{53872,
  author       = {{Ebrahimi, Bohlool and Tavana, Madjid and Kleine, Andreas and Dellnitz, Andreas}},
  issn         = {{0171-6468}},
  journal      = {{OR Spectrum}},
  number       = {{4}},
  pages        = {{1103--1124}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors}}},
  doi          = {{10.1007/s00291-021-00649-6}},
  volume       = {{43}},
  year         = {{2021}},
}

@article{53869,
  author       = {{Tavana, Madjid and Shaabani, Akram and Di Caprio, Debora and Bonyani, Abbas}},
  issn         = {{2772-3909}},
  journal      = {{Cleaner Logistics and Supply Chain}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains}}},
  doi          = {{10.1016/j.clscn.2021.100009}},
  volume       = {{2}},
  year         = {{2021}},
}

@article{53866,
  author       = {{Tavana, Madjid and Tohidi, Hamid and Alimohammadi, Milad and Lesansalmasi, Reza}},
  issn         = {{0944-1344}},
  journal      = {{Environmental Science and Pollution Research}},
  number       = {{36}},
  pages        = {{50636--50648}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A location-inventory-routing model for green supply chains with low-carbon emissions under uncertainty}}},
  doi          = {{10.1007/s11356-021-13815-8}},
  volume       = {{28}},
  year         = {{2021}},
}

@article{53870,
  author       = {{Khalili Nasr, Arash and Tavana, Madjid and Alavi, Behrouz and Mina, Hassan}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains}}},
  doi          = {{10.1016/j.jclepro.2020.124994}},
  volume       = {{287}},
  year         = {{2021}},
}

@article{53867,
  author       = {{Tavana, Madjid and Shaabani, Akram and Di Caprio, Debora and Amiri, Maghsoud}},
  issn         = {{2666-4127}},
  journal      = {{Sustainable Operations and Computers}},
  pages        = {{149--169}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains}}},
  doi          = {{10.1016/j.susoc.2021.07.008}},
  volume       = {{2}},
  year         = {{2021}},
}

@article{53871,
  author       = {{Ebrahimi, Bohlool and Tavana, Madjid and Charles, Vincent}},
  issn         = {{1109-2858}},
  journal      = {{Operational Research}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A note and new extensions on “interval efficiency measures in data envelopment analysis with imprecise data”}}},
  doi          = {{10.1007/s12351-019-00524-x}},
  year         = {{2021}},
}

@article{53877,
  author       = {{de Campos, Elaine Aparecida Regiani and Tavana, Madjid and ten Caten, Carla Schwengber and Bouzon, Marina and de Paula, Istefani Carísio}},
  issn         = {{0944-1344}},
  journal      = {{Environmental Science and Pollution Research}},
  number       = {{11}},
  pages        = {{14156--14176}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A grey-DEMATEL approach for analyzing factors critical to the implementation of reverse logistics in the pharmaceutical care process}}},
  doi          = {{10.1007/s11356-020-11138-8}},
  volume       = {{28}},
  year         = {{2021}},
}

@article{53881,
  author       = {{Aslani, Babak and Rabiee, Meysam and Tavana, Madjid}},
  issn         = {{2330-2674}},
  journal      = {{International Journal of Systems Science: Operations & Logistics}},
  number       = {{4}},
  pages        = {{348--370}},
  publisher    = {{Informa UK Limited}},
  title        = {{{An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection}}},
  doi          = {{10.1080/23302674.2020.1776414}},
  volume       = {{8}},
  year         = {{2021}},
}

@article{53878,
  author       = {{Al Hadwer, Ali and Tavana, Madjid and Gillis, Dan and Rezania, Davar}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  publisher    = {{Elsevier BV}},
  title        = {{{A Systematic Review of Organizational Factors Impacting Cloud-based Technology Adoption Using Technology-Organization-Environment Framework}}},
  doi          = {{10.1016/j.iot.2021.100407}},
  volume       = {{15}},
  year         = {{2021}},
}

@article{53874,
  author       = {{Rastegar, Mehdi and Tavana, Madjid and Meraj, Afshin and Mina, Hassan}},
  issn         = {{0264-410X}},
  journal      = {{Vaccine}},
  number       = {{3}},
  pages        = {{495--504}},
  publisher    = {{Elsevier BV}},
  title        = {{{An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic}}},
  doi          = {{10.1016/j.vaccine.2020.12.022}},
  volume       = {{39}},
  year         = {{2021}},
}