@inproceedings{124,
  abstract     = {{Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an enterprise perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.}},
  author       = {{Jazayeri, Bahar and Zimmermann, Olaf and Engels, Gregor and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 15th International Conference on Service Oriented Computing (ICSOC)}},
  publisher    = {{Springer}},
  title        = {{{A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective}}},
  doi          = {{10.1007/978-3-319-69035-3_42}},
  volume       = {{10601}},
  year         = {{2017}},
}

@inproceedings{126,
  abstract     = {{Optimal price setting in peer-to-peer markets featuring online ratings requires incorporating interactions between prices and ratings. Additionally, recent literature reports that online ratings in peer-to-peer markets tend to be inflated overall, undermining the reliability of online ratings as a quality signal. This study proposes a two-period model for optimal price setting that takes (potentially inflated) ratings into account. Our theoretical findings suggest that sellers in the medium-quality segment have an incentive to lower first-period prices to monetize on increased second-period ratings and that the possibility on monetizing on second-period ratings depends on the reliability of the rating system. Additionally, we find that total profits and prices increase with online ratings and additional quality signals. Empirically, conducting Difference-in-Difference regressions on a comprehensive panel data set from Airbnb, we can validate that price increases lead to lower ratings, and we find empirical support for the prediction that additional quality signals increase prices. Our work comes with substantial implications for sellers in peer-to-peer markets looking for an optimal price setting strategy. Moreover, we argue that our theoretical finding on the weights between online ratings and additional quality signals translates to conventional online markets.}},
  author       = {{Neumann, Jürgen and Gutt, Dominik}},
  booktitle    = {{Proceedings of the 25th Conference on Information Systems (ECIS)}},
  location     = {{Guimaraes, Portugal}},
  title        = {{{A Homeowner’s Guide to Airbnb: Theory and Empirical Evidence for Optimal Pricing Conditional on Online Ratings}}},
  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}},
}

@inproceedings{13306,
  abstract     = {{Enterprise Social Networks (ESNs), d. h. Informationssysteme, die die Vernetzung von Mitarbeitern in Unternehmen f{\"o}rdern sollen, sind in verschiedenen Varianten und unter verschiedenen Bezeichnungen (etwa Enterprise Social Media, Corporate Social Software, Social Business oder Enterprise 2.0) bereits seit etwa gut einem Jahrzehnt auf dem Markt. Dennoch erfreuen sie sich erst seit den letzten Jahren steigender Beliebtheit und halten ebenfalls nach und nach fl{\"a}chendeckenden Einzug in Gro{\ss}unternehmen wie Siemens, Daimler oder Deutsche Telekom. Um mit dem Gartner »Hype Cycle« zu argumentieren: Das Thema ESN hat die Spitze des Hypes l{\"a}ngst {\"u}berschritten, das »Tal der Entt{\"a}uschungen« durchschritten und n{\"a}hert sich nun zunehmend dem »Plateau der Produktivit{\"a}t«. Motivation genug, um sich anhand einiger ausgew{\"a}hlter Fallbeispiele mit ESNs genauer auseinanderzusetzen.}},
  author       = {{Winkler, Till J. and Trier, Matthias}},
  booktitle    = {{Tools revisited – Rationalität und Kreativität durch Management-Tools?}},
  pages        = {{20--27}},
  publisher    = {{Daimler und Benz Stiftung}},
  title        = {{{Enterprise Social Networks: Neue Tools für das Informations und Wissensmanagement}}},
  year         = {{2017}},
}

@inproceedings{13307,
  author       = {{Richter, Shahper and Trier, Matthias and Richter, Alexander}},
  title        = {{{Value Co-creation in the Digital Factory: The Empowered Role of Shop Floor Workers}}},
  year         = {{2017}},
}

@inproceedings{127,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  location     = {{Houston, USA}},
  title        = {{{A Homeowner’s Guide to Airbnb: Theory and Empirical Evidence for Optimal Pricing Conditional on Online Ratings}}},
  year         = {{2017}},
}

@article{2856,
  abstract     = {{Taxi ridesharing1 (TRS) is an advanced form of urban transportation that matches separate ride requests with similar spatio-temporal characteristics to a jointly used taxi. As collaborative consumption, TRS saves customers money, enables taxi companies to economize use of their resources, and lowers greenhouse gas emissions. We develop a one-to-one TRS approach that matches rides with similar start and end points. We evaluate our approach by analyzing an open dataset of > 5 million taxi trajectories in New York City. Our empirical analysis reveals that the proposed approach matches up to 48.34% of all taxi rides, saving 2,892,036 km of travel distance, 231,362.89 l of gas, and 532,134.64 kg of CO2 emissions per week. Compared to many-to-many TRS approaches, our approach is competitive, simpler to implement and operate, and poses less rigid assumptions on data availability and customer acceptance.}},
  author       = {{Barann, Benjamin and Beverungen, Daniel and Müller, Oliver}},
  journal      = {{Decision Support Systems}},
  keywords     = {{Taxi ridesharing Collaborative consumption Transportation Open data Sustainability Shared mobility}},
  number       = {{July 2017}},
  pages        = {{86--95}},
  publisher    = {{Elsevier}},
  title        = {{{An open-data approach for quantifying the potential of taxi ridesharing}}},
  doi          = {{10.1016/j.dss.2017.05.008}},
  volume       = {{99}},
  year         = {{2017}},
}

@article{54029,
  author       = {{Tavana, Madjid and Yazdani, Morteza and Di Caprio, Debora}},
  issn         = {{1367-5567}},
  journal      = {{International Journal of Logistics Research and Applications}},
  number       = {{3}},
  pages        = {{254--275}},
  publisher    = {{Informa UK Limited}},
  title        = {{{An application of an integrated ANP–QFD framework for sustainable supplier selection}}},
  doi          = {{10.1080/13675567.2016.1219702}},
  volume       = {{20}},
  year         = {{2017}},
}

@article{54031,
  author       = {{Tavana, Madjid and Khalili-Damghani, Kaveh and Santos-Arteaga, Francisco J. and Zandi, Mohammad-Hossein}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  pages        = {{93--107}},
  publisher    = {{Elsevier BV}},
  title        = {{{Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products}}},
  doi          = {{10.1016/j.eswa.2016.12.014}},
  volume       = {{72}},
  year         = {{2017}},
}

@article{54030,
  author       = {{Tavana, Madjid and Santos-Arteaga, Francisco J. and Di Caprio, Debora}},
  issn         = {{0747-5632}},
  journal      = {{Computers in Human Behavior}},
  pages        = {{208--221}},
  publisher    = {{Elsevier BV}},
  title        = {{{The effect of preference similarity on the formation of clusters and the connectivity of social networks}}},
  doi          = {{10.1016/j.chb.2017.02.049}},
  volume       = {{72}},
  year         = {{2017}},
}

@article{54032,
  author       = {{Tavana, Madjid and Santos Arteaga, Francisco J. and Mohammadi, Somayeh and Alimohammadi, Moslem}},
  issn         = {{2211-467X}},
  journal      = {{Energy Strategy Reviews}},
  pages        = {{93--105}},
  publisher    = {{Elsevier BV}},
  title        = {{{A fuzzy multi-criteria spatial decision support system for solar farm location planning}}},
  doi          = {{10.1016/j.esr.2017.09.003}},
  volume       = {{18}},
  year         = {{2017}},
}

@article{54041,
  author       = {{Alikar, Najmeh and Mousavi, Seyed Mohsen and Tavana, Madjid and Niaki, S.T.A.}},
  issn         = {{2330-2674}},
  journal      = {{International Journal of Systems Science: Operations & Logistics}},
  number       = {{3}},
  pages        = {{275--296}},
  publisher    = {{Informa UK Limited}},
  title        = {{{A multi-objective multi-state series-parallel redundancy allocation model using tuned meta-heuristic algorithms}}},
  doi          = {{10.1080/23302674.2016.1193254}},
  volume       = {{4}},
  year         = {{2017}},
}

@article{54040,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{1868-5137}},
  journal      = {{Journal of Ambient Intelligence and Humanized Computing}},
  number       = {{3}},
  pages        = {{315--328}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The emergence of inclusive and exclusive virtual communities determined by the preferences of their users}}},
  doi          = {{10.1007/s12652-017-0447-y}},
  volume       = {{8}},
  year         = {{2017}},
}

@article{54033,
  author       = {{Tavana, Madjid and Shabanpour, Hadi and Yousefi, Saeed and Farzipoor Saen, Reza}},
  issn         = {{0941-0643}},
  journal      = {{Neural Computing and Applications}},
  number       = {{12}},
  pages        = {{3683--3696}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation}}},
  doi          = {{10.1007/s00521-016-2274-z}},
  volume       = {{28}},
  year         = {{2017}},
}

@article{54038,
  author       = {{Khanjani Shiraz, Rashed and Tavana, Madjid and Fukuyama, Hirofumi and Di Caprio, Debora}},
  issn         = {{1109-2858}},
  journal      = {{Operational Research}},
  number       = {{1}},
  pages        = {{67--97}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Fuzzy chance-constrained geometric programming: the possibility, necessity and credibility approaches}}},
  doi          = {{10.1007/s12351-015-0216-7}},
  volume       = {{17}},
  year         = {{2017}},
}

@article{54034,
  author       = {{Toloo, Mehdi and Tavana, Madjid}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  number       = {{1}},
  pages        = {{657--681}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs}}},
  doi          = {{10.1007/s10479-016-2375-1}},
  volume       = {{253}},
  year         = {{2017}},
}

@article{54036,
  author       = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid and O’Connor, Aidan}},
  issn         = {{0969-5931}},
  journal      = {{International Business Review}},
  number       = {{1}},
  pages        = {{36--56}},
  publisher    = {{Elsevier BV}},
  title        = {{{Innovation dynamics and labor force restructuring with asymmetrically developed national innovation systems}}},
  doi          = {{10.1016/j.ibusrev.2016.05.005}},
  volume       = {{26}},
  year         = {{2017}},
}

@article{54035,
  author       = {{Esmaelian, Majid and Tavana, Madjid and Di Caprio, Debora and Ansari, Reza}},
  issn         = {{0040-1625}},
  journal      = {{Technological Forecasting and Social Change}},
  pages        = {{188--205}},
  publisher    = {{Elsevier BV}},
  title        = {{{A multiple correspondence analysis model for evaluating technology foresight methods}}},
  doi          = {{10.1016/j.techfore.2017.07.022}},
  volume       = {{125}},
  year         = {{2017}},
}

@article{54039,
  author       = {{Khalili-Damghani, Kaveh and Tavana, Madjid and Santos-Arteaga, Francisco J. and Ghanbarzad-Dashti, Mahdokht}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{101--118}},
  publisher    = {{Elsevier BV}},
  title        = {{{A customized genetic algorithm for solving multi-period cross-dock truck scheduling problems}}},
  doi          = {{10.1016/j.measurement.2017.05.027}},
  volume       = {{108}},
  year         = {{2017}},
}

@article{54037,
  author       = {{Hatami-Marbini, Adel and Agrell, Per J. and Tavana, Madjid and Khoshnevis, Pegah}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  pages        = {{2761--2779}},
  publisher    = {{Elsevier BV}},
  title        = {{{A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing}}},
  doi          = {{10.1016/j.jclepro.2016.10.192}},
  volume       = {{142}},
  year         = {{2017}},
}