@inproceedings{13587,
  author       = {{Gutt, Dominik and Neumann, Jürgen and Jabr, W. and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 40th International Conference on Information Systems (ICIS)}},
  location     = {{Munich, Germany}},
  title        = {{{The App Updating Conundrum: Implications of Platform’s Rating Resetting on Developers’ Behavior}}},
  year         = {{2019}},
}

@inproceedings{17096,
  abstract     = {{Augmented Reality (AR) technologies have evolved rapidly over the last years, particularly with regard to user interfaces, input devices, and cameras used in mobile devices for object and gesture recognition. While early AR systems relied on pre-defined trigger images or QR code markers, modern AR applications leverage machine learning techniques to identify objects in their physical environments. So far, only few empirical studies have investigated AR's potential for supporting learning and task assistance using such marker-less AR. In order to address this research gap, we implemented an AR application (app)with the aim to analyze the effectiveness of marker-less AR applied in a mundane setting which can be used for on-the-job training and more formal educational settings. The results of our laboratory experiment show that while participants working with AR needed significantly more time to fulfill the given task, the participants who were supported by AR learned significantly more.}},
  author       = {{Sommerauer, Peter and Müller, Oliver and Maxim, Leonard and Østman, Nils}},
  booktitle    = {{International Conference on Wirtschaftsinformatik}},
  title        = {{{The Effect of Marker-less Augmented Reality on Task and Learning Performance}}},
  year         = {{2019}},
}

@article{4684,
  abstract     = {{Recent years have seen the emergence of physical products that are digitally networked with other products and with information systems to enable complex business scenarios in manufacturing, mobility, or healthcare. These “smart products”, which enable the co-creation of “smart service” that is based on monitoring, optimization, remote control, and autonomous adaptation of products, profoundly transform service systems into what we call “smart service systems”. In a multi-method study that includes conceptual research and qualitative data from in-depth interviews, we conceptualize “smart service” and “smart service systems” based on using smart products as boundary objects that integrate service consumers’ and service providers’ resources and activities. Smart products allow both actors to retrieve and to analyze aggregated field evidence and to adapt service systems based on contextual data. We discuss the implications that the introduction of smart service systems have for foundational concepts of service science and conclude that smart service systems are characterized by technology-mediated, continuous, and routinized interactions.}},
  author       = {{Beverungen, Daniel and Müller, Oliver and Matzner, Martin and Mendling, Jan and vom Brocke, Jan}},
  issn         = {{14228890}},
  journal      = {{Electronic Markets}},
  keywords     = {{Boundary object, Internet of things, Service science, Smart products, Smart service}},
  pages        = {{7--18}},
  publisher    = {{SpringerNature}},
  title        = {{{Conceptualizing smart service systems}}},
  doi          = {{10.1007/s12525-017-0270-5}},
  volume       = {{29}},
  year         = {{2019}},
}

@article{53987,
  author       = {{Toloo, Mehdi and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{1435-246X}},
  journal      = {{Central European Journal of Operations Research}},
  number       = {{4}},
  pages        = {{887--904}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights}}},
  doi          = {{10.1007/s10100-017-0510-y}},
  volume       = {{27}},
  year         = {{2019}},
}

@article{53976,
  author       = {{Mousavi, Seyed Mohsen and Tavana, Madjid and Alikar, Najmeh and Zandieh, Mostafa}},
  issn         = {{0941-0643}},
  journal      = {{Neural Computing and Applications}},
  number       = {{3}},
  pages        = {{873--885}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification}}},
  doi          = {{10.1007/s00521-017-3115-4}},
  volume       = {{31}},
  year         = {{2019}},
}

@article{53988,
  author       = {{Ebrahimnejad, Ali and Tavana, Madjid and Nasseri, Seyed Hadi and Gholami, Omid}},
  issn         = {{0219-6220}},
  journal      = {{International Journal of Information Technology & Decision Making}},
  number       = {{01}},
  pages        = {{147--170}},
  publisher    = {{World Scientific Pub Co Pte Lt}},
  title        = {{{A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data}}},
  doi          = {{10.1142/s0219622018500396}},
  volume       = {{18}},
  year         = {{2019}},
}

@article{53965,
  author       = {{Tavana, Madjid and Khalili-Damghani, Kaveh and Santos Arteaga, Francisco J. and Hosseini, Amineh}},
  issn         = {{0360-8352}},
  journal      = {{Computers & Industrial Engineering}},
  pages        = {{143--155}},
  publisher    = {{Elsevier BV}},
  title        = {{{A fuzzy multi-objective multi-period network DEA model for efficiency measurement in oil refineries}}},
  doi          = {{10.1016/j.cie.2019.05.033}},
  volume       = {{135}},
  year         = {{2019}},
}

@article{53978,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{2214-7160}},
  journal      = {{Operations Research Perspectives}},
  publisher    = {{Elsevier BV}},
  title        = {{{The role of anticipated emotions and the value of information in determining sequential search incentives}}},
  doi          = {{10.1016/j.orp.2019.100106}},
  volume       = {{6}},
  year         = {{2019}},
}

@article{53986,
  author       = {{Asadi Bagloee, Saeed and Tavana, Madjid and Withers, Glenn and Patriksson, Michael and Asadi, Mohsen}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  publisher    = {{Elsevier BV}},
  title        = {{{Tradable mobility permit with Bitcoin and Ethereum – A Blockchain application in transportation}}},
  doi          = {{10.1016/j.iot.2019.100103}},
  volume       = {{8}},
  year         = {{2019}},
}

@article{53977,
  author       = {{Razavi Hajiagha, Seyed Hossein and Amoozad Mahdiraji, Hannan and Tavana, Madjid}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  publisher    = {{Elsevier BV}},
  title        = {{{A new bi-level data envelopment analysis model for efficiency measurement and target setting}}},
  doi          = {{10.1016/j.measurement.2019.106877}},
  volume       = {{147}},
  year         = {{2019}},
}

@article{53989,
  author       = {{Aghayi, NAZILA and Tavana, Madjid and Maleki, Bentolhoda}},
  issn         = {{2345-3605}},
  journal      = {{Scientia Iranica}},
  pages        = {{0--0}},
  publisher    = {{SciTech Solutions}},
  title        = {{{A Malmquist Productivity Index with Directional Distance Function and Uncertain Data}}},
  doi          = {{10.24200/sci.2018.5259.1173}},
  year         = {{2019}},
}

@article{53991,
  author       = {{-, Shashi and Tavana, Madjid and Shabani, Amir and Singh, Rajwinder}},
  journal      = {{Journal of Industrial Engineering International}},
  number       = {{Suppl 1}},
  pages        = {{39--51}},
  title        = {{{The impact of interwoven integration practices on supply chain value addition and firm performance}}},
  doi          = {{https://doi.org/10.1007/s40092-019-0316-8}},
  volume       = {{15}},
  year         = {{2019}},
}

@article{53974,
  author       = {{Mousavi, Seyed Mohsen and Alikar, Najmeh and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{0956-5515}},
  journal      = {{Journal of Intelligent Manufacturing}},
  number       = {{3}},
  pages        = {{1175--1194}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems}}},
  doi          = {{10.1007/s10845-017-1311-9}},
  volume       = {{30}},
  year         = {{2019}},
}

@article{53971,
  author       = {{Zare, Habib and Tavana, Madjid and Mardani, Abbas and Masoudian, Sepideh and Kamali Saraji, Mahyar}},
  issn         = {{1386-9620}},
  journal      = {{Health Care Management Science}},
  number       = {{3}},
  pages        = {{475--488}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A hybrid data envelopment analysis and game theory model for performance measurement in healthcare}}},
  doi          = {{10.1007/s10729-018-9456-4}},
  volume       = {{22}},
  year         = {{2019}},
}

@article{53967,
  author       = {{Santos Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora and Toloo, Mehdi}},
  issn         = {{0377-2217}},
  journal      = {{European Journal of Operational Research}},
  number       = {{2}},
  pages        = {{448--462}},
  publisher    = {{Elsevier BV}},
  title        = {{{A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution}}},
  doi          = {{10.1016/j.ejor.2018.09.008}},
  volume       = {{278}},
  year         = {{2019}},
}

@article{53972,
  author       = {{Santos-Arteaga, Francisco J. and Torrecillas, Celia and Tavana, Madjid}},
  issn         = {{0892-9912}},
  journal      = {{The Journal of Technology Transfer}},
  number       = {{1}},
  pages        = {{97--131}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Dynamic effects of learning on the innovative outputs and productivity in Spanish multinational enterprises}}},
  doi          = {{10.1007/s10961-017-9597-5}},
  volume       = {{44}},
  year         = {{2019}},
}

@article{53970,
  author       = {{Talaei-Khoei, Amir and Tavana, Madjid and Wilson, James M.}},
  issn         = {{0933-3657}},
  journal      = {{Artificial Intelligence in Medicine}},
  publisher    = {{Elsevier BV}},
  title        = {{{A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases}}},
  doi          = {{10.1016/j.artmed.2019.101750}},
  volume       = {{101}},
  year         = {{2019}},
}

@article{53968,
  author       = {{Tavana, Madjid and Khanjani Shiraz, Rashed and Di Caprio, Debora}},
  issn         = {{0941-0643}},
  journal      = {{Neural Computing and Applications}},
  number       = {{S2}},
  pages        = {{931--945}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A chance-constrained portfolio selection model with random-rough variables}}},
  doi          = {{10.1007/s00521-017-3014-8}},
  volume       = {{31}},
  year         = {{2019}},
}

@article{53975,
  author       = {{Nasiri, Mohammad Mahdi and Ranjbar, Mojtaba and Tavana, Madjid and Santos Arteaga, Francisco J. and Yazdanparast, Reza}},
  issn         = {{0266-4720}},
  journal      = {{Expert Systems}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{A novel hybrid method for selecting soccer players during the transfer season}}},
  doi          = {{10.1111/exsy.12342}},
  volume       = {{36}},
  year         = {{2019}},
}

@article{53973,
  author       = {{Aghayi, Nazila and Tavana, Madjid}},
  issn         = {{1735-5702}},
  journal      = {{Journal of Industrial Engineering International}},
  number       = {{1}},
  pages        = {{17--24}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A novel three-stage distance-based consensus ranking method}}},
  doi          = {{10.1007/s40092-018-0268-4}},
  volume       = {{15}},
  year         = {{2019}},
}