@inbook{13268,
  author       = {{Trier, Matthias and Hillmann, Robert}},
  booktitle    = {{Understanding Complex Systems}},
  isbn         = {{9783319436371}},
  issn         = {{1860-0832}},
  title        = {{{Does Sentiment Among Users in Online Social Networks Polarize or Balance Out? A Sociological Perspective Using Social Network Analysis}}},
  doi          = {{10.1007/978-3-319-43639-5_12}},
  year         = {{2016}},
}

@phdthesis{10292,
  author       = {{John, Thomas}},
  title        = {{{Business Model Modeling Languages as Tools for Innovation:  Theory and Empirical Evidence}}},
  doi          = {{10.17619/UNIPB/1-259 }},
  year         = {{2016}},
}

@inproceedings{135,
  author       = {{Strotmeyer, Sebastian and John, Thomas and Kundisch, Dennis}},
  booktitle    = {{Multikonferenz Wirtschaftsinformatik (MKWI)}},
  location     = {{Ilmenau, Germany}},
  title        = {{{Vergleichende Betrachtung von Software-Werkzeugen zur Geschäftsmodellentwicklung}}},
  year         = {{2016}},
}

@inproceedings{17103,
  abstract     = {{Recent growth in data volume, variety, and velocity led to an increased demand for high-performance data processing and analytics solutions. In-memory computing (IMC) enables organizations to boost their information processing capacity, and is widely acknowledged to be one of the leading strategic technologies in the field of enterprise systems. The majority of technology vendors now have IMC technologies in their portfolio, and the interest of companies in adopting such solutions in order to benefit from big data is increasing. Although there is first research on the business value of IMC in the form of case studies, there is a lack of large-scale quantitative evidence on the positive effect of such solutions on firm performance. Based on a unique panel data set of IMC adoption information and financial firm performance data for a sample of companies from the Fortune 500 list this study aims at explaining the relationship between the adoption of IMC solutions and firm performance. In this research-in-progress paper we discuss the theoretical background of our work, describe the proposed research design, and develop five hypotheses for later testing. Our work aims at contributing to the research streams on IT business value and business analytics by helping to better understand the nature of the interdependencies between IMC adoption and firm performance. }},
  author       = {{Fay, Maria and Müller, Oliver and vom Brocke, Jan}},
  booktitle    = {{European Conference on Information Systems}},
  title        = {{{Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance}}},
  year         = {{2016}},
}

@inproceedings{17102,
  abstract     = {{Organizational culture represents a key success factor in highly competitive environments, such as, the IT sector. Thus, IT companies need to understand what makes up a culture that fosters employee performance. While existing research typically uses self-report questionnaires to study the relation of culture and the success of companies, the validity of this approach is often discussed and researchers call for new ways of studying culture. Therefore, our research goal is to present an alternative ap-proach to culture analysis for examining which cultural factors matter to the IT workforce. Our study builds on 112,610 online reviews of Fortune 500 IT companies collected from Glassdoor, an online platform on which current and former employees can anonymously review companies and their man-agement. We perform an automated content analysis to identify cultural factors that employees em-phasize in their reviews. Through a regression analysis on numerical employee satisfaction ratings, we find that a culture of learning and performance orientation contributes to employee motivation, while a culture of assertiveness and gender inegalitarianism has a strong negative influence on em-ployees’ satisfaction in the IT workforce. Future research can apply our approach as an alternative method to quantifying culture and its impact on other variables.}},
  author       = {{Schmiedel, Theresa and Müller, Oliver and Debortoli, Stefan and vom Brocke, Jan}},
  booktitle    = {{European Conference on Information Systems}},
  title        = {{{Identifying and quantifying cultural factors that matter to the IT workforce: An approach based on automated content analysis}}},
  year         = {{2016}},
}

@article{54177,
  author       = {{Roy, Arup and Tavana, Madjid and Banerjee, Soumya and Caprio, Debora Di}},
  issn         = {{1755-8913}},
  journal      = {{International Journal of Applied Management Science}},
  number       = {{2}},
  publisher    = {{Inderscience Publishers}},
  title        = {{{A secured context-aware tourism recommender system using artificial bee colony and simulated annealing}}},
  doi          = {{10.1504/ijams.2016.077014}},
  volume       = {{8}},
  year         = {{2016}},
}

@article{54174,
  author       = {{Aghayi, Nazila and Tavana, Madjid and Raayatpanah, Mohammad Ali}},
  issn         = {{1751-5254}},
  journal      = {{European J. of Industrial Engineering}},
  number       = {{3}},
  publisher    = {{Inderscience Publishers}},
  title        = {{{Robust efficiency measurement with common set of weights under varying degrees of conservatism and data uncertainty}}},
  doi          = {{10.1504/ejie.2016.076386}},
  volume       = {{10}},
  year         = {{2016}},
}

@article{54176,
  author       = {{Khodabakhshi, Mohamad and Tavana, Madjid and Abootaleb, Fatemeh Baghbani}},
  issn         = {{1742-7967}},
  journal      = {{International Journal of Logistics Systems and Management}},
  number       = {{1}},
  publisher    = {{Inderscience Publishers}},
  title        = {{{Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis}}},
  doi          = {{10.1504/ijlsm.2016.075660}},
  volume       = {{24}},
  year         = {{2016}},
}

@article{54173,
  author       = {{Bagloee, Saeed Asadi and Tavana, Madjid and Asadi, Mohsen and Oliver, Tracey}},
  issn         = {{2095-087X}},
  journal      = {{Journal of Modern Transportation}},
  number       = {{4}},
  pages        = {{284--303}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Autonomous vehicles: challenges, opportunities, and future implications for transportation policies}}},
  doi          = {{10.1007/s40534-016-0117-3}},
  volume       = {{24}},
  year         = {{2016}},
}

@article{54172,
  author       = {{Mousavi, Seyed Mohsen and Sadeghi, Javad and Niaki, Seyed Taghi Akhavan and Tavana, Madjid}},
  issn         = {{1568-4946}},
  journal      = {{Applied Soft Computing}},
  pages        = {{57--72}},
  publisher    = {{Elsevier BV}},
  title        = {{{A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO}}},
  doi          = {{10.1016/j.asoc.2016.02.014}},
  volume       = {{43}},
  year         = {{2016}},
}

@article{54169,
  author       = {{Shahverdi, Reza and Tavana, Madjid and Ebrahimnejad, Ali and Zahedi, Khadijeh and Omranpour, Hesam}},
  issn         = {{0196-9722}},
  journal      = {{Cybernetics and Systems}},
  number       = {{3}},
  pages        = {{161--179}},
  publisher    = {{Informa UK Limited}},
  title        = {{{An Improved Method for Edge Detection and Image Segmentation Using Fuzzy Cellular Automata}}},
  doi          = {{10.1080/01969722.2016.1140466}},
  volume       = {{47}},
  year         = {{2016}},
}

@article{54170,
  author       = {{Khanjani Shiraz, Rashed and Fukuyama, Hirofumi and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{1568-4946}},
  journal      = {{Applied Soft Computing}},
  pages        = {{204--219}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets}}},
  doi          = {{10.1016/j.asoc.2016.04.043}},
  volume       = {{46}},
  year         = {{2016}},
}

@article{54175,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  number       = {{4}},
  pages        = {{937--982}},
  publisher    = {{Emerald}},
  title        = {{{An optimal sequential information acquisition model subject to a heuristic assimilation constraint}}},
  doi          = {{10.1108/bij-01-2014-0008}},
  volume       = {{23}},
  year         = {{2016}},
}

@article{54171,
  author       = {{Ebrahimnejad, Ali and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{0378-4754}},
  journal      = {{Mathematics and Computers in Simulation}},
  pages        = {{1--17}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated data envelopment analysis and simulation method for group consensus ranking}}},
  doi          = {{10.1016/j.matcom.2015.08.022}},
  volume       = {{119}},
  year         = {{2016}},
}

@article{54160,
  author       = {{Tavana, Madjid and Zareinejad, Mohsen and Santos-Arteaga, Francisco J. and Kaviani, Mohamad Amin}},
  issn         = {{0268-3768}},
  journal      = {{The International Journal of Advanced Manufacturing Technology}},
  number       = {{5-8}},
  pages        = {{1705--1721}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A conceptual analytic network model for evaluating and selecting third-party reverse logistics providers}}},
  doi          = {{10.1007/s00170-015-8208-6}},
  volume       = {{86}},
  year         = {{2016}},
}

@article{54166,
  author       = {{Khanjani Shiraz, Rashed and Tavana, Madjid and Di Caprio, Debora and Fukuyama, Hirofumi}},
  issn         = {{0022-3239}},
  journal      = {{Journal of Optimization Theory and Applications}},
  number       = {{1}},
  pages        = {{243--265}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions}}},
  doi          = {{10.1007/s10957-015-0857-y}},
  volume       = {{170}},
  year         = {{2016}},
}

@article{54167,
  author       = {{Hajipour, Vahid and Fattahi, Parviz and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{0307-904X}},
  journal      = {{Applied Mathematical Modelling}},
  number       = {{7-8}},
  pages        = {{4948--4969}},
  publisher    = {{Elsevier BV}},
  title        = {{{Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics}}},
  doi          = {{10.1016/j.apm.2015.12.013}},
  volume       = {{40}},
  year         = {{2016}},
}

@article{54164,
  author       = {{Sodenkamp, Mariya A. and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{0377-2217}},
  journal      = {{European Journal of Operational Research}},
  number       = {{3}},
  pages        = {{859--874}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading}}},
  doi          = {{10.1016/j.ejor.2016.04.015}},
  volume       = {{254}},
  year         = {{2016}},
}

@article{54162,
  author       = {{Tavana, Madjid and Kazemi, Mohammad Reza and Vafadarnikjoo, Amin and Mobin, Mohammadsadegh}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{621--629}},
  publisher    = {{Elsevier BV}},
  title        = {{{An artificial immune algorithm for ergonomic product classification using anthropometric measurements}}},
  doi          = {{10.1016/j.measurement.2016.09.007}},
  volume       = {{94}},
  year         = {{2016}},
}

@article{54161,
  author       = {{Tavana, Madjid and Kaviani, Mohamad Amin and Di Caprio, Debora and Rahpeyma, Bentolhoda}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{322--333}},
  publisher    = {{Elsevier BV}},
  title        = {{{A two-stage data envelopment analysis model for measuring performance in three-level supply chains}}},
  doi          = {{10.1016/j.measurement.2015.10.023}},
  volume       = {{78}},
  year         = {{2016}},
}