@article{53248, author = {{Ebrahimnejad, Ali and Tavana, Madjid and Charles, Vincent}}, issn = {{1432-7643}}, journal = {{Soft Computing}}, number = {{1}}, pages = {{327--347}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Analytics under uncertainty: a novel method for solving linear programming problems with trapezoidal fuzzy variables}}}, doi = {{10.1007/s00500-021-06389-7}}, volume = {{26}}, year = {{2022}}, } @article{53243, author = {{Vafadarnikjoo, Amin and Tavana, Madjid and Chalvatzis, Konstantinos and Botelho, Tiago}}, issn = {{0038-0121}}, journal = {{Socio-Economic Planning Sciences}}, publisher = {{Elsevier BV}}, title = {{{A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains}}}, doi = {{10.1016/j.seps.2021.101156}}, volume = {{80}}, year = {{2022}}, } @article{53250, author = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}}, issn = {{0924-669X}}, journal = {{Applied Intelligence}}, number = {{7}}, pages = {{7529--7549}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A new algorithm for modeling online search behavior and studying ranking reliability variations}}}, doi = {{10.1007/s10489-021-02856-8}}, volume = {{52}}, year = {{2022}}, } @article{53244, author = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}}, issn = {{0957-4174}}, journal = {{Expert Systems with Applications}}, publisher = {{Elsevier BV}}, title = {{{An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments}}}, doi = {{10.1016/j.eswa.2021.116352}}, volume = {{191}}, year = {{2022}}, } @article{53245, author = {{Moazzeni, Sahar and Tavana, Madjid and Mostafayi Darmian, Sobhan}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, publisher = {{Elsevier BV}}, title = {{{A dynamic location-arc routing optimization model for electric waste collection vehicles}}}, doi = {{10.1016/j.jclepro.2022.132571}}, volume = {{364}}, year = {{2022}}, } @article{53253, author = {{Tavana, Madjid and Nazari-Shirkouhi, Salman and Mashayekhi, Amir and Mousakhani, Saeed}}, issn = {{2662-2556}}, journal = {{Operations Research Forum}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers}}}, doi = {{10.1007/s43069-022-00132-0}}, volume = {{3}}, year = {{2022}}, } @article{53251, author = {{Afrasiabi, Ahmadreza and Tavana, Madjid and Di Caprio, Debora}}, issn = {{0944-1344}}, journal = {{Environmental Science and Pollution Research}}, number = {{25}}, pages = {{37291--37314}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection}}}, doi = {{10.1007/s11356-021-17851-2}}, volume = {{29}}, year = {{2022}}, } @article{53252, author = {{Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}}, issn = {{2444-569X}}, journal = {{Journal of Innovation & Knowledge}}, number = {{3}}, publisher = {{Elsevier BV}}, title = {{{Information acquisition and assimilation capacities as determinants of technological niche markets}}}, doi = {{10.1016/j.jik.2022.100193}}, volume = {{7}}, year = {{2022}}, } @article{53255, author = {{Jabbari, Mona and Tavana, Madjid and Fattahi, Parviz and Daneshamooz, Fatemeh}}, issn = {{2666-4127}}, journal = {{Sustainable Operations and Computers}}, pages = {{22--32}}, publisher = {{Elsevier BV}}, title = {{{A parameter tuned hybrid algorithm for solving flow shop scheduling problems with parallel assembly stages}}}, doi = {{10.1016/j.susoc.2021.09.002}}, volume = {{3}}, year = {{2022}}, } @article{53256, author = {{Hashemi, Seyed Emadedin and Tavana, Madjid and Bakhshi, Maryam}}, issn = {{2661-8907}}, journal = {{SN Computer Science}}, number = {{4}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering}}}, doi = {{10.1007/s42979-022-01208-8}}, volume = {{3}}, year = {{2022}}, } @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}}, }