@article{54003, author = {{Tavana, Madjid and Santos-Arteaga, Francisco J. and Mahmoodirad, Ali and Niroomand, Sadegh and Sanei, Masoud}}, issn = {{2330-2674}}, journal = {{International Journal of Systems Science: Operations & Logistics}}, number = {{4}}, pages = {{356--373}}, publisher = {{Informa UK Limited}}, title = {{{Multi-stage supply chain network solution methods: hybrid metaheuristics and performance measurement}}}, doi = {{10.1080/23302674.2017.1316877}}, volume = {{5}}, year = {{2018}}, } @article{54000, author = {{Tavana, Madjid and Khalili-Damghani, Kaveh and Di Caprio, Debora and Oveisi, Zeynab}}, issn = {{0941-0643}}, journal = {{Neural Computing and Applications}}, number = {{1}}, pages = {{127--139}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems}}}, doi = {{10.1007/s00521-016-2676-y}}, volume = {{30}}, year = {{2018}}, } @article{54002, author = {{Tavana, Madjid and Caprio, Debora Di and Santos-Arteaga, Francisco J.}}, issn = {{2029-4913}}, journal = {{Technological and Economic Development of Economy}}, number = {{4}}, pages = {{1466--1498}}, publisher = {{Vilnius Gediminas Technical University}}, title = {{{STRATEGIC SIGNALING AND NEW TECHNOLOGICALLY SUPERIOR PRODUCT INTRODUCTION: A GAME-THEORETIC MODEL WITH SIMULATION}}}, doi = {{10.3846/tede.2018.4531}}, volume = {{24}}, year = {{2018}}, } @article{54005, author = {{Izadikhah, Mohammad and Tavana, Madjid and Di Caprio, Debora and Santos-Arteaga, Francisco J.}}, issn = {{0957-4174}}, journal = {{Expert Systems with Applications}}, pages = {{213--230}}, publisher = {{Elsevier BV}}, title = {{{A novel two-stage DEA production model with freely distributed initial inputs and shared intermediate outputs}}}, doi = {{10.1016/j.eswa.2017.11.005}}, volume = {{99}}, year = {{2018}}, } @article{54006, author = {{Esmaelian, Majid and Tavana, Madjid and Santos-Arteaga, Francisco J. and Vali, Masoumeh}}, issn = {{0263-2241}}, journal = {{Measurement}}, pages = {{27--38}}, publisher = {{Elsevier BV}}, title = {{{A novel genetic algorithm based method for solving continuous nonlinear optimization problems through subdividing and labeling}}}, doi = {{10.1016/j.measurement.2017.09.034}}, volume = {{115}}, year = {{2018}}, } @article{53999, author = {{Tavana, Madjid and Izadikhah, Mohammad and Di Caprio, Debora and Farzipoor Saen, Reza}}, issn = {{0360-8352}}, journal = {{Computers & Industrial Engineering}}, pages = {{427--448}}, publisher = {{Elsevier BV}}, title = {{{A new dynamic range directional measure for two-stage data envelopment analysis models with negative data}}}, doi = {{10.1016/j.cie.2017.11.024}}, volume = {{115}}, year = {{2018}}, } @article{54004, author = {{Sodenkamp, Mariya A. and Tavana, Madjid and Di Caprio, Debora}}, issn = {{1568-4946}}, journal = {{Applied Soft Computing}}, pages = {{715--727}}, publisher = {{Elsevier BV}}, title = {{{An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets}}}, doi = {{10.1016/j.asoc.2018.07.020}}, volume = {{71}}, year = {{2018}}, } @article{53998, author = {{Tavana, Madjid and Abtahi, Amir-Reza and Di Caprio, Debora and Poortarigh, Maryam}}, issn = {{0925-2312}}, journal = {{Neurocomputing}}, pages = {{2525--2554}}, publisher = {{Elsevier BV}}, title = {{{An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking}}}, doi = {{10.1016/j.neucom.2017.11.034}}, volume = {{275}}, year = {{2018}}, } @article{53994, author = {{Tavana, Madjid and Abtahi, Amir-Reza and Di Caprio, Debora and Hashemi, Reza and Yousefi-Zenouz, Reza}}, issn = {{0038-0121}}, journal = {{Socio-Economic Planning Sciences}}, pages = {{21--37}}, publisher = {{Elsevier BV}}, title = {{{An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations}}}, doi = {{10.1016/j.seps.2017.12.004}}, volume = {{64}}, year = {{2018}}, } @article{53995, author = {{Tavana, Madjid and Ebrahimnejad, Ali and Santos-Arteaga, Francisco J. and Mansourzadeh, Seyed Mehdi and Matin, Reza Kazemi}}, issn = {{0038-0121}}, journal = {{Socio-Economic Planning Sciences}}, pages = {{70--89}}, publisher = {{Elsevier BV}}, title = {{{A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia}}}, doi = {{10.1016/j.seps.2016.09.003}}, volume = {{61}}, year = {{2018}}, } @article{53996, author = {{Tavana, Madjid and Khalili-Damghani, Kaveh and Santos Arteaga, Francisco J. and Mahmoudi, Reza and Hafezalkotob, Ashkan}}, issn = {{0360-8352}}, journal = {{Computers & Industrial Engineering}}, pages = {{394--408}}, publisher = {{Elsevier BV}}, title = {{{Efficiency decomposition and measurement in two-stage fuzzy DEA models using a bargaining game approach}}}, doi = {{10.1016/j.cie.2018.03.010}}, volume = {{118}}, year = {{2018}}, } @article{53997, author = {{Tavana, Madjid and Shahdi-Pashaki, Saleh and Teymourian, Ehsan and Santos-Arteaga, Francisco J. and Komaki, Mohammad}}, issn = {{0360-8352}}, journal = {{Computers & Industrial Engineering}}, pages = {{495--511}}, publisher = {{Elsevier BV}}, title = {{{A discrete cuckoo optimization algorithm for consolidation in cloud computing}}}, doi = {{10.1016/j.cie.2017.12.001}}, volume = {{115}}, year = {{2018}}, } @article{53992, author = {{Tavana, Madjid and Santos-Arteaga, Francisco J. and Di Caprio, Debora}}, issn = {{0020-0255}}, journal = {{Information Sciences}}, pages = {{187--214}}, publisher = {{Elsevier BV}}, title = {{{The value of information as a verification and regret-preventing mechanism in algorithmic search environments}}}, doi = {{10.1016/j.ins.2018.03.032}}, volume = {{448-449}}, year = {{2018}}, } @article{53993, author = {{Tavana, Madjid and Di Caprio, Debora and Santos-Arteaga, Francisco J.}}, issn = {{0020-0255}}, journal = {{Information Sciences}}, pages = {{301--318}}, publisher = {{Elsevier BV}}, title = {{{An extended stochastic VIKOR model with decision maker's attitude towards risk}}}, doi = {{10.1016/j.ins.2017.12.019}}, volume = {{432}}, year = {{2018}}, } @inproceedings{5692, abstract = {{We consider Max-min Share (MmS) fair allocations of indivisible chores (items with negative utilities). We show that allocation of chores and classical allocation of goods (items with positive utilities) have some fundamental connections but also differences which prevent a straightforward application of algorithms for goods in the chores setting and viceversa. We prove that an MmS allocation does not need to exist for chores and computing an MmS allocation - if it exists - is strongly NP-hard. In view of these non-existence and complexity results, we present a polynomial-time 2-approximation algorithm for MmS fairness for chores. We then introduce a new fairness concept called optimal MmS that represents the best possible allocation in terms of MmS that is guaranteed to exist. We use connections to parallel machine scheduling to give (1) a polynomial-time approximation scheme for computing an optimal MmS allocation when the number of agents is fixed and (2) an effective and efficient heuristic with an ex-post worst-case analysis.}}, author = {{Aziz, Haris and Rauchecker, Gerhard and Schryen, Guido and Walsh, Toby}}, booktitle = {{Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)}}, location = {{San Francisco, CA, USA}}, number = {{1}}, pages = {{1--7}}, title = {{{Algorithms for Max-Min Share Fair Allocation of Indivisible Chores}}}, volume = {{31}}, year = {{2017}}, } @inproceedings{5594, abstract = {{Design science is a fundamental research stream that contends its position in the information systems discipline. While ongoing debates address the relative importance of design science contributions in the information systems community, insights into the scientific impact of design science research (DSR) are missing and this lack of understanding arguably poses challenges to an informed discourse. To identify the most influential papers and those factors that explain their scientific impact, this paper presents an exploratory study of the scientific impact of DSR papers published in the AIS Senior Scholars' Basket of Journals. We uncover the current DSR landscape by taking stock of influential papers and theories and develop a model to explain the scientific impact of DSR papers. Our findings show that scientific impact is significantly explained by theorization and novelty. We discuss how the implications of our work can be projected on the overarching discourse on DSR.}}, author = {{Wagner, Gerit and Prester, Julian and Schryen, Guido}}, booktitle = {{38th International Conference on Information Systems}}, location = {{Seoul, South Korea}}, title = {{{Exploring the Scientific Impact of Information Systems Design Science Research: A Scientometric Study}}}, year = {{2017}}, } @article{5626, author = {{Schryen, Guido and Hristova, Diana}}, journal = {{Smart Data Radar (Deutsche Bank)}}, title = {{{High-Performance Business Computing - Effizienzsteigerung durch Parallelisierung}}}, year = {{2017}}, } @article{5633, abstract = {{Literature reviews (LRs) are recognized for their increasing impact in the information systems literature. Methodologists have drawn attention to the question of how we can leverage the value of LRs to preserve and generate knowledge. The panelists who participated in the discussion of ?Standalone Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?? at ICIS 2016 in Dublin acknowledged this significant issue and debated a) what the IS field can learn from other fields and where IS-specific challenges occur, b) how the IS field should move forward to foster the genre of LRs, and c) what best practices are to train doctoral IS students in publishing LRs. This article reports the key takeaways of this panel discussion. Guidance for IS scholars is provided on how to conduct LRs that contribute to the cumulative knowledge development within and across the IS field to best prepare the next generation of IS scholars.}}, author = {{Schryen, Guido and Benlian, Alexander and Rowe, Frantz and Shirley, Gregor and Larsen, Kai and Petter, Stacie and Par{\'e}, Guy and Wagner, Gerit and Haag, Steffi and Yasasin, Emrah}}, issn = {{1529-3181}}, journal = {{Communications of the AIS}}, keywords = {{Literature Review, Review Methodology, Research Methodology, Doctoral Training}}, pages = {{557 -- 569}}, publisher = {{Association for Information Systems (AIS)}}, title = {{{Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?}}}, volume = {{40}}, year = {{2017}}, } @article{5671, abstract = {{Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers' decision processes in e-commerce shopping tasks.}}, author = {{Scholz, Michael and Dorner, Verena and Schryen, Guido and Benlian, Alexander}}, journal = {{European Journal of Operational Research}}, keywords = {{E-Commerce, Recommender System, Attribute Weights, Configuration System, Decision Support}}, number = {{1}}, pages = {{205 -- 215}}, publisher = {{Elsevier}}, title = {{{A configuration-based recommender system for supporting e-commerce decisions}}}, volume = {{259}}, year = {{2017}}, } @inbook{14857, author = {{Beckschäfer, Michaela and Malberg, Simon and Tierney, Kevin and Weskamp, Christoph}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783319684956}}, issn = {{0302-9743}}, title = {{{Simulating Storage Policies for an Automated Grid-Based Warehouse System}}}, doi = {{10.1007/978-3-319-68496-3_31}}, year = {{2017}}, }