@article{14985, author = {{Schryen, Guido and Kliewer, Natalia and Fink, Andreas}}, journal = {{Business & Information Systems Engineering}}, number = {{1}}, pages = {{1--3}}, title = {{{High Performance Business Computing}}}, doi = {{10.1007/s12599-019-00622-2}}, volume = {{62}}, year = {{2020}}, } @article{13175, abstract = {{Today, organizations must deal with a plethora of IT security threats and to ensure smooth and uninterrupted business operations, firms are challenged to predict the volume of IT security vulnerabilities and allocate resources for fixing them. This challenge requires decision makers to assess which system or software packages are prone to vulnerabilities, how many post-release vulnerabilities can be expected to occur during a certain period of time, and what impact exploits might have. Substantial research has been dedicated to techniques that analyze source code and detect security vulnerabilities. However, only limited research has focused on forecasting security vulnerabilities that are detected and reported after the release of software. To address this shortcoming, we apply established methodologies which are capable of forecasting events exhibiting specific time series characteristics of security vulnerabilities, i.e., rareness of occurrence, volatility, non-stationarity, and seasonality. Based on a dataset taken from the National Vulnerability Database (NVD), we use the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to measure the forecasting accuracy of single, double, and triple exponential smoothing methodologies, Croston's methodology, ARIMA, and a neural network-based approach. We analyze the impact of the applied forecasting methodology on the prediction accuracy with regard to its robustness along the dimensions of the examined system and software package "operating systems", "browsers" and "office solutions" and the applied metrics. To the best of our knowledge, this study is the first to analyze the effect of forecasting methodologies and to apply metrics that are suitable in this context. Our results show that the optimal forecasting methodology depends on the software or system package, as some methodologies perform poorly in the context of IT security vulnerabilities, that absolute metrics can cover the actual prediction error precisely, and that the prediction accuracy is robust within the two applied forecasting-error metrics.}}, author = {{Yasasin, Emrah and Prester, Julian and Wagner, Gerit and Schryen, Guido}}, issn = {{0167-4048}}, journal = {{Computers & Security}}, number = {{January}}, title = {{{Forecasting IT Security Vulnerabilities - An Empirical Analysis}}}, volume = {{88}}, year = {{2020}}, } @article{53903, author = {{Hajipour, Vahid and Tavana, Madjid and Santos-Arteaga, Francisco J and Alinezhad, Alireza and Di Caprio, Debora}}, issn = {{2288-5048}}, journal = {{Journal of Computational Design and Engineering}}, number = {{4}}, pages = {{469--488}}, publisher = {{Oxford University Press (OUP)}}, title = {{{An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness}}}, doi = {{10.1093/jcde/qwaa039}}, volume = {{7}}, year = {{2020}}, } @article{53902, author = {{Aziz, Azmin Azliza and Mousavi, Seyed Mohsen and Tavana, Madjid and Niaki, Seyed Taghi Akhavan}}, issn = {{2330-2674}}, journal = {{International Journal of Systems Science: Operations & Logistics}}, number = {{2}}, pages = {{172--181}}, publisher = {{Informa UK Limited}}, title = {{{An investigation of the robustness in the Travelling Salesman problem routes using special structured matrices}}}, doi = {{10.1080/23302674.2018.1551584}}, volume = {{7}}, year = {{2020}}, } @article{53905, author = {{Santos-Arteaga, Francisco Javier and Tavana, Madjid and Torrecillas, Celia and Di Caprio, Debora}}, issn = {{2029-4913}}, journal = {{Technological and Economic Development of Economy}}, number = {{6}}, pages = {{1366--1398}}, publisher = {{Vilnius Gediminas Technical University}}, title = {{{INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE}}}, doi = {{10.3846/tede.2020.13521}}, volume = {{26}}, year = {{2020}}, } @article{53898, author = {{Jafari Songhori, Mohsen and Tavana, Madjid and Terano, Takao}}, issn = {{1381-298X}}, journal = {{Computational and Mathematical Organization Theory}}, number = {{1}}, pages = {{88--122}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Product development team formation: effects of organizational- and product-related factors}}}, doi = {{10.1007/s10588-019-09302-8}}, volume = {{26}}, year = {{2020}}, } @article{53904, author = {{Kaviani, Mohamad Amin and Tavana, Madjid and Kowsari, Fatemeh and Rezapour, Roghayeh}}, issn = {{1463-5771}}, journal = {{Benchmarking: An International Journal}}, number = {{6}}, pages = {{1929--1949}}, publisher = {{Emerald}}, title = {{{Supply chain resilience: a benchmarking model for vulnerability and capability assessment in the automotive industry}}}, doi = {{10.1108/bij-01-2020-0049}}, volume = {{27}}, year = {{2020}}, } @article{53906, author = {{Tavana, Madjid and Shaabani, Akram and Javier Santos-Arteaga, Francisco and Raeesi Vanani, Iman}}, issn = {{1996-1073}}, journal = {{Energies}}, number = {{15}}, publisher = {{MDPI AG}}, title = {{{A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics}}}, doi = {{10.3390/en13153947}}, volume = {{13}}, year = {{2020}}, } @article{53900, author = {{Tavana, Madjid and Hajipour, Vahid and Oveisi, Shahrzad}}, issn = {{2542-6605}}, journal = {{Internet of Things}}, publisher = {{Elsevier BV}}, title = {{{IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions}}}, doi = {{10.1016/j.iot.2020.100262}}, volume = {{11}}, year = {{2020}}, } @article{53899, author = {{Tavana, Madjid and Amoozad Mahdiraji, Hannan and Beheshti, Moein and Abbasi Kamardi, Ali‐Asghar}}, issn = {{0143-6570}}, journal = {{Managerial and Decision Economics}}, number = {{7}}, pages = {{1365--1384}}, publisher = {{Wiley}}, title = {{{Optimal strategic alliance in multi‐echelon supply chains with open innovation}}}, doi = {{10.1002/mde.3181}}, volume = {{41}}, year = {{2020}}, } @article{53901, author = {{Tavana, Madjid and Hajipour, Vahid}}, issn = {{1463-5771}}, journal = {{Benchmarking: An International Journal}}, number = {{1}}, pages = {{81--136}}, publisher = {{Emerald}}, title = {{{A practical review and taxonomy of fuzzy expert systems: methods and applications}}}, doi = {{10.1108/bij-04-2019-0178}}, volume = {{27}}, year = {{2020}}, } @article{53890, author = {{Kaviani, Mohamad Amin and Tavana, Madjid and Kumar, Anil and Michnik, Jerzy and Niknam, Raziyeh and Campos, Elaine Aparecida Regiani de}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, publisher = {{Elsevier BV}}, title = {{{An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry}}}, doi = {{10.1016/j.jclepro.2020.122714}}, volume = {{272}}, year = {{2020}}, } @article{53894, author = {{Hashemi Petrudi, Seyed Hamid and Tavana, Madjid and Abdi, Mehdi}}, issn = {{2212-4209}}, journal = {{International Journal of Disaster Risk Reduction}}, publisher = {{Elsevier BV}}, title = {{{A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society}}}, doi = {{10.1016/j.ijdrr.2019.101340}}, volume = {{42}}, year = {{2020}}, } @article{53889, author = {{Farughi, Hiwa and Tavana, Madjid and Mostafayi, Sobhan and Santos Arteaga, Francisco J.}}, issn = {{0160-5682}}, journal = {{Journal of the Operational Research Society}}, number = {{11}}, pages = {{1740--1759}}, publisher = {{Informa UK Limited}}, title = {{{A novel optimization model for designing compact, balanced, and contiguous healthcare districts}}}, doi = {{10.1080/01605682.2019.1621217}}, volume = {{71}}, year = {{2020}}, } @article{53891, author = {{Yazdani, Morteza and Tavana, Madjid and Pamučar, Dragan and Chatterjee, Prasenjit}}, issn = {{0360-8352}}, journal = {{Computers & Industrial Engineering}}, publisher = {{Elsevier BV}}, title = {{{A rough based multi-criteria evaluation method for healthcare waste disposal location decisions}}}, doi = {{10.1016/j.cie.2020.106394}}, volume = {{143}}, year = {{2020}}, } @article{53896, author = {{Khanjani Shiraz, Rashed and Tavana, Madjid and Fukuyama, Hirofumi}}, issn = {{1432-7643}}, journal = {{Soft Computing}}, number = {{22}}, pages = {{17167--17186}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A random-fuzzy portfolio selection DEA model using value-at-risk and conditional value-at-risk}}}, doi = {{10.1007/s00500-020-05010-7}}, volume = {{24}}, year = {{2020}}, } @article{53895, author = {{Ebrahimi, Bohlool and Dellnitz, Andreas and Kleine, Andreas and Tavana, Madjid}}, issn = {{0957-4174}}, journal = {{Expert Systems with Applications}}, publisher = {{Elsevier BV}}, title = {{{A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures}}}, doi = {{10.1016/j.eswa.2020.113835}}, volume = {{164}}, year = {{2020}}, } @article{53893, author = {{Ebrahimi, Bohlool and Tavana, Madjid and Toloo, Mehdi and Charles, Vincent}}, issn = {{0360-8352}}, journal = {{Computers & Industrial Engineering}}, publisher = {{Elsevier BV}}, title = {{{A novel mixed binary linear DEA model for ranking decision-making units with preference information}}}, doi = {{10.1016/j.cie.2020.106720}}, volume = {{149}}, year = {{2020}}, } @article{53897, author = {{Zaretalab, Arash and Hajipour, Vahid and Tavana, Madjid}}, issn = {{0951-8320}}, journal = {{Reliability Engineering & System Safety}}, publisher = {{Elsevier BV}}, title = {{{Redundancy allocation problem with multi-state component systems and reliable supplier selection}}}, doi = {{10.1016/j.ress.2019.106629}}, volume = {{193}}, year = {{2020}}, } @article{53892, author = {{Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}}, issn = {{0957-4174}}, journal = {{Expert Systems with Applications}}, publisher = {{Elsevier BV}}, title = {{{A new model for evaluating subjective online ratings with uncertain intervals}}}, doi = {{10.1016/j.eswa.2019.112850}}, volume = {{139}}, year = {{2020}}, }