M. Tavana, F. J. Santos-Arteaga, and D. Di Caprio, “The effect of preference similarity on the formation of clusters and the connectivity of social networks,”10.1016/j.chb.2017.02.049__Computers in Human Behavior, vol. 72, pp. 208–221, 2017, doi:10.1016/j.chb.2017.02.049 .

M. Tavana, F. J. Santos Arteaga, S. Mohammadi, and M. Alimohammadi, “A fuzzy multi-criteria spatial decision support system for solar farm location planning,”10.1016/j.esr.2017.09.003__Energy Strategy Reviews, vol. 18, pp. 93–105, 2017, doi:10.1016/j.esr.2017.09.003 .

N. Alikar, S. M. Mousavi, M. Tavana, and S. T. A. Niaki, “A multi-objective multi-state series-parallel redundancy allocation model using tuned meta-heuristic algorithms,”10.1080/23302674.2016.1193254__International Journal of Systems Science: Operations &; Logistics, vol. 4, no. 3, pp. 275–296, 2017, doi:10.1080/23302674.2016.1193254 .

D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “The emergence of inclusive and exclusive virtual communities determined by the preferences of their users,”10.1007/s12652-017-0447-y__Journal of Ambient Intelligence and Humanized Computing, vol. 8, no. 3, pp. 315–328, 2017, doi:10.1007/s12652-017-0447-y .

M. Tavana, H. Shabanpour, S. Yousefi, and R. Farzipoor Saen, “A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation,”10.1007/s00521-016-2274-z__Neural Computing and Applications, vol. 28, no. 12, pp. 3683–3696, 2017, doi:10.1007/s00521-016-2274-z .

R. Khanjani Shiraz, M. Tavana, H. Fukuyama, and D. Di Caprio, “Fuzzy chance-constrained geometric programming: the possibility, necessity and credibility approaches,”10.1007/s12351-015-0216-7__Operational Research, vol. 17, no. 1, pp. 67–97, 2017, doi:10.1007/s12351-015-0216-7 .

M. Toloo and M. Tavana, “A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs,”10.1007/s10479-016-2375-1__Annals of Operations Research, vol. 253, no. 1, pp. 657–681, 2017, doi:10.1007/s10479-016-2375-1 .

F. J. Santos-Arteaga, D. Di Caprio, M. Tavana, and A. O’Connor, “Innovation dynamics and labor force restructuring with asymmetrically developed national innovation systems,”10.1016/j.ibusrev.2016.05.005__International Business Review, vol. 26, no. 1, pp. 36–56, 2017, doi:10.1016/j.ibusrev.2016.05.005 .

M. Esmaelian, M. Tavana, D. Di Caprio, and R. Ansari, “A multiple correspondence analysis model for evaluating technology foresight methods,”10.1016/j.techfore.2017.07.022__Technological Forecasting and Social Change, vol. 125, pp. 188–205, 2017, doi:10.1016/j.techfore.2017.07.022 .

K. Khalili-Damghani, M. Tavana, F. J. Santos-Arteaga, and M. Ghanbarzad-Dashti, “A customized genetic algorithm for solving multi-period cross-dock truck scheduling problems,”10.1016/j.measurement.2017.05.027__Measurement, vol. 108, pp. 101–118, 2017, doi:10.1016/j.measurement.2017.05.027 .

A. Hatami-Marbini, P. J. Agrell, M. Tavana, and P. Khoshnevis, “A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing,”10.1016/j.jclepro.2016.10.192__Journal of Cleaner Production, vol. 142, pp. 2761–2779, 2017, doi:10.1016/j.jclepro.2016.10.192 .

F. J. SANTOS-ARTEAGA, D. D. CAPRIO, M. Tavana, and A. O’CONNOR, “FORMALISING THE DEMAND FOR TECHNOLOGICAL INNOVATIONS: RATIONAL HERDS, MARKET FRICTIONS AND NETWORK EFFECTS,”10.1142/s1363919617500189__International Journal of Innovation Management, vol. 21, no. 02, Art. no. 1750018, 2017, doi:10.1142/s1363919617500189 .

D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “A Novel Decision Support Framework for Computing Expected Utilities from Linguistic Evaluations,”10.1142/s0218488517500441__International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 25, no. 06, pp. 1005–1018, 2017, doi:10.1142/s0218488517500441 .

N. Alikar, S. M. Mousavi, R. A. R. Ghazilla, M. Tavana, and E. U. Olugu, “A bi-objective multi-period series-parallel inventory-redundancy allocation problem with time value of money and inflation considerations,”10.1016/j.cie.2016.12.006__Computers &; Industrial Engineering, vol. 104, pp. 51–67, 2017, doi:10.1016/j.cie.2016.12.006 .

N. Alikar, S. M. Mousavi, R. A. Raja Ghazilla, M. Tavana, and E. U. Olugu, “Application of the NSGA-II algorithm to a multi-period inventory-redundancy allocation problem in a series-parallel system,”10.1016/j.ress.2016.10.023__Reliability Engineering &; System Safety, vol. 160, pp. 1–10, 2017, doi:10.1016/j.ress.2016.10.023 .

R. Khanjani Shiraz, V. Charles, M. Tavana, and D. Di Caprio, “A redundancy detection algorithm for fuzzy stochastic multi-objective linear fractional programming problems,”10.1080/07362994.2016.1248780__Stochastic Analysis and Applications, vol. 35, no. 1, pp. 40–62, 2017, doi:10.1080/07362994.2016.1248780 .

S. A. Bagloee, M. Tavana, D. Di Caprio, M. Asadi, and M. Heshmati, “A multi-user decision support system for online city bus tour planning,”10.1007/s40534-017-0126-x__Journal of Modern Transportation, vol. 25, no. 2, pp. 59–73, 2017, doi:10.1007/s40534-017-0126-x .

S. Asadi Bagloee, M. Heshmati, M. Tavana, and D. Di Caprio, “A logit-based model for measuring the effects of transportation infrastructure on land value,”10.1080/03081060.2016.1266164__Transportation Planning and Technology, vol. 40, no. 2, pp. 143–166, 2017, doi:10.1080/03081060.2016.1266164 .

A. Mardani, M. Nilashi, J. Antucheviciene, M. Tavana, R. Bausys, and O. Ibrahim, “Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature,”10.1155/2017/1608147__Complexity, vol. 2017, pp. 1–33, 2017, doi:10.1155/2017/1608147 .

M. Tavana, D. Di Caprio, and F. J. Santos-Arteaga, “A multi-criteria perception-based strict-ordering algorithm for identifying the most-preferred choice among equally-evaluated alternatives,”10.1016/j.ins.2016.11.021__Information Sciences, vol. 381, pp. 322–340, 2017, doi:10.1016/j.ins.2016.11.021 .

G. Rauchecker and G. Schryen, “Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer,” Im Einsatz, vol. 23, pp. 44–46, 2016.

G. Wagner, J. Prester, M. Roche, A. Benlian, and G. Schryen, “Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric Study,” in International Conference on Information Systems, 2016.

G. Schryen, G. Wagner, and A. Schlegel, “Development of two novel face-recognition CAPTCHAs: a security and usability study,” Computers &; Security, vol. 60, no. July, pp. 95–116, 2016.

A. Roy, M. Tavana, S. Banerjee, and D. D. Caprio, “A secured context-aware tourism recommender system using artificial bee colony and simulated annealing,”10.1504/ijams.2016.077014__International Journal of Applied Management Science, vol. 8, no. 2, Art. no. 93, 2016, doi:10.1504/ijams.2016.077014 .

N. Aghayi, M. Tavana, and M. A. Raayatpanah, “Robust efficiency measurement with common set of weights under varying degrees of conservatism and data uncertainty,”10.1504/ejie.2016.076386__European J. of Industrial Engineering, vol. 10, no. 3, Art. no. 385, 2016, doi:10.1504/ejie.2016.076386 .

M. Khodabakhshi, M. Tavana, and F. B. Abootaleb, “Optimistic and pessimistic performance and congestion analysis in fuzzy data envelopment analysis,”10.1504/ijlsm.2016.075660__International Journal of Logistics Systems and Management, vol. 24, no. 1, Art. no. 1, 2016, doi:10.1504/ijlsm.2016.075660 .

S. A. Bagloee, M. Tavana, M. Asadi, and T. Oliver, “Autonomous vehicles: challenges, opportunities, and future implications for transportation policies,”10.1007/s40534-016-0117-3__Journal of Modern Transportation, vol. 24, no. 4, pp. 284–303, 2016, doi:10.1007/s40534-016-0117-3 .

S. M. Mousavi, J. Sadeghi, S. T. A. Niaki, and M. Tavana, “A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO,”10.1016/j.asoc.2016.02.014__Applied Soft Computing, vol. 43, pp. 57–72, 2016, doi:10.1016/j.asoc.2016.02.014 .

R. Shahverdi, M. Tavana, A. Ebrahimnejad, K. Zahedi, and H. Omranpour, “An Improved Method for Edge Detection and Image Segmentation Using Fuzzy Cellular Automata,”10.1080/01969722.2016.1140466__Cybernetics and Systems, vol. 47, no. 3, pp. 161–179, 2016, doi:10.1080/01969722.2016.1140466 .

R. Khanjani Shiraz, H. Fukuyama, M. Tavana, and D. Di Caprio, “An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets,”10.1016/j.asoc.2016.04.043__Applied Soft Computing, vol. 46, pp. 204–219, 2016, doi:10.1016/j.asoc.2016.04.043 .

D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “An optimal sequential information acquisition model subject to a heuristic assimilation constraint,”10.1108/bij-01-2014-0008__Benchmarking: An International Journal, vol. 23, no. 4, pp. 937–982, 2016, doi:10.1108/bij-01-2014-0008 .

A. Ebrahimnejad, M. Tavana, and F. J. Santos-Arteaga, “An integrated data envelopment analysis and simulation method for group consensus ranking,”10.1016/j.matcom.2015.08.022__Mathematics and Computers in Simulation, vol. 119, pp. 1–17, 2016, doi:10.1016/j.matcom.2015.08.022 .

M. Tavana, M. Zareinejad, F. J. Santos-Arteaga, and M. A. Kaviani, “A conceptual analytic network model for evaluating and selecting third-party reverse logistics providers,”10.1007/s00170-015-8208-6__The International Journal of Advanced Manufacturing Technology, vol. 86, no. 5–8, pp. 1705–1721, 2016, doi:10.1007/s00170-015-8208-6 .

R. Khanjani Shiraz, M. Tavana, D. Di Caprio, and H. Fukuyama, “Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions,”10.1007/s10957-015-0857-y__Journal of Optimization Theory and Applications, vol. 170, no. 1, pp. 243–265, 2016, doi:10.1007/s10957-015-0857-y .

V. Hajipour, P. Fattahi, M. Tavana, and D. Di Caprio, “Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics,”10.1016/j.apm.2015.12.013__Applied Mathematical Modelling, vol. 40, no. 7–8, pp. 4948–4969, 2016, doi:10.1016/j.apm.2015.12.013 .

M. A. Sodenkamp, M. Tavana, and D. Di Caprio, “Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading,”10.1016/j.ejor.2016.04.015__European Journal of Operational Research, vol. 254, no. 3, pp. 859–874, 2016, doi:10.1016/j.ejor.2016.04.015 .

M. Tavana, M. R. Kazemi, A. Vafadarnikjoo, and M. Mobin, “An artificial immune algorithm for ergonomic product classification using anthropometric measurements,”10.1016/j.measurement.2016.09.007__Measurement, vol. 94, pp. 621–629, 2016, doi:10.1016/j.measurement.2016.09.007 .

M. Tavana, M. A. Kaviani, D. Di Caprio, and B. Rahpeyma, “A two-stage data envelopment analysis model for measuring performance in three-level supply chains,”10.1016/j.measurement.2015.10.023__Measurement, vol. 78, pp. 322–333, 2016, doi:10.1016/j.measurement.2015.10.023 .

M. Tavana, D. Di Caprio, and F. J. Santos-Arteaga, “Managing team coordination incentives: the effect of payoff differentials,”10.1108/jcc-08-2016-0003__Journal of Centrum Cathedra, vol. 9, no. 1, pp. 52–70, 2016, doi:10.1108/jcc-08-2016-0003 .

K. Khalili-Damghani, M. Tavana, and F. J. Santos-Arteaga, “A comprehensive fuzzy DEA model for emerging market assessment and selection decisions,”10.1016/j.asoc.2015.09.048__Applied Soft Computing, vol. 38, pp. 676–702, 2016, doi:10.1016/j.asoc.2015.09.048 .

A. Ebrahimnejad, M. Tavana, and H. Alrezaamiri, “A novel artificial bee colony algorithm for shortest path problems with fuzzy arc weights,”10.1016/j.measurement.2016.06.050__Measurement, vol. 93, pp. 48–56, 2016, doi:10.1016/j.measurement.2016.06.050 .

M. Tavana, D. Di Caprio, and F. J. Santos-Arteaga, “Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis,”10.1007/s10479-016-2114-7__Annals of Operations Research, vol. 244, no. 2, pp. 647–676, 2016, doi:10.1007/s10479-016-2114-7 .

M. Tavana, F. J. Santos-Arteaga, D. Di Caprio, and K. Tierney, “Modeling signal-based decisions in online search environments: A non-recursive forward-looking approach,”10.1016/j.im.2015.10.002__Information &; Management, vol. 53, no. 2, pp. 207–226, 2016, doi:10.1016/j.im.2015.10.002 .

M. Tavana, Z. Li, M. Mobin, M. Komaki, and E. Teymourian, “Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS,”10.1016/j.eswa.2015.11.007__Expert Systems with Applications, vol. 50, pp. 17–39, 2016, doi:10.1016/j.eswa.2015.11.007 .

M. Tavana, W. Liu, P. Elmore, F. E. Petry, and B. S. Bourgeois, “A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems,”10.1016/j.measurement.2015.12.007__Measurement, vol. 81, pp. 123–162, 2016, doi:10.1016/j.measurement.2015.12.007 .

M. Tavana, A. Fallahpour, D. Di Caprio, and F. J. Santos-Arteaga, “A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection,”10.1016/j.eswa.2016.05.027__Expert Systems with Applications, vol. 61, pp. 129–144, 2016, doi:10.1016/j.eswa.2016.05.027 .

M. Tavana, M. Zareinejad, D. Di Caprio, and M. A. Kaviani, “An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics,”10.1016/j.asoc.2015.12.005__Applied Soft Computing, vol. 40, pp. 544–557, 2016, doi:10.1016/j.asoc.2015.12.005 .

M. Tavana, R. Kiani Mavi, F. J. Santos-Arteaga, and E. Rasti Doust, “An extended VIKOR method using stochastic data and subjective judgments,”10.1016/j.cie.2016.05.013__Computers &; Industrial Engineering, vol. 97, pp. 240–247, 2016, doi:10.1016/j.cie.2016.05.013 .

M. Tavana, D. Di Caprio, and F. J. Santos Arteaga, “Modeling Sequential Information Acquisition Behavior in Rational Decision Making,”10.1111/deci.12193__Decision Sciences, vol. 47, no. 4, pp. 720–761, 2016, doi:10.1111/deci.12193 .

G. Rauchecker and G. Schryen, “High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic,” in Australasian Conference on Information Systems, 2015, pp. 1–13.

T. Püschel, G. Schryen, D. Hristova, and D. Neumann, “Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty,” European Journal of Operational Research, vol. 244, no. 2, pp. 637–647, 2015.

E. Yasasin and G. Schryen, “Requirements for IT Security Metrics - An Argumentation Theory Based Approach,” in 23rd European Conference on Information Systems (ECIS 2015), 2015.

E. Weishäupl, E. Yasasin, and G. Schryen, “A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory,” in International Conference on Information Systems, 2015.

E. Weishäupl, E. Yasasin, and G. Schryen, “IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review,” in 23rd European Conference on Information Systems (ECIS 2015), 2015.

E. Weishäupl et al., “Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory,” in 2nd International Workshop on Security in highly connected IT Systems (SHCIS?15), 2015.

G. Schryen and E. Weishäupl, “IT-Sicherheit: Ökonomisch Planen und Bewerten,” Managementkompass, no. 2, pp. 17–18, 2015.

G. Schryen, G. Wagner, and A. Benlian, “Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature,” in International Conference on Information Systems (ICIS), 2015.

G. Schryen, G. Rauchecker, and M. Comes, “Resource Planning in Disaster Response - Decision Support Models and Methodologies,” Business &; Information Systems Engineering (BISE), vol. 57, no. 4, pp. 243–259, 2015.

G. Schryen, “Writing qualitative IS literature reviewsf? Guidelines for synthesis, interpretation and guidance of research,” Communications of the AIS, vol. 37, no. Art 12, pp. 286–325, 2015.

G. Rauchecker, E. Yasasin, and G. Schryen, “A Decision Support System for IT Security Incident Management,” in 11th International Conference on Trust, Privacy, and Security in Digital Business (TRUSTBUS), 2014.

A. Fink et al., “Model-based Decision Support in Manufacturing and Service Networks,” Business &; Information Systems Engineering (BISE), vol. 6, no. 1, pp. 17–24, 2014.

A. Fink et al., “Modellbasierte Entscheidungsunterstützung in Produktions- und Service-Netzwerken,” Wirtschaftsinformatik, vol. 56, no. 1, pp. 21–29, 2014.

G. Schryen, The Epistemological Impact of Literature Reviews in Information Systems Research. 2014.

E. Yasasin, G. Rauchecker, J. Prester, and G. Schryen, “A Fuzzy Security Investment Decision Support Model for Highly Distributed Systems,” in 1st Workshop on Security in highly connected IT systems (SHCIS 14), 2014.

F. Wex, G. Schryen, S. Feuerriegel, and D. Neumann, “Emergency Response in Natural Disaster Management: Allocation and Scheduling of Rescue Units,” European Journal of Operational Research, 2014.

G. Schryen and F. Wex, “Risk Reduction in Natural Disaster Management Through Information Systems: A Literature review and an IS design science research agenda,” International Journal of Information Systems for Crisis Response and Management (IJISCRAM), vol. 6, no. 1, 2014.

G. Schryen and D. Hristova, “Duality in fuzzy linear programming: A survey,” OR -Spectrum, vol. 37, no. 1, pp. 1–48, 2014.

G. Schryen, “Writing qualitative IS literature reviewsf? Guidelines for synthesis, interpretation and guidance of research,” Communications of the AIS, 2014.

H. de Meer et al., “Sicherheitsherausforderungen in hochverteilten Systemen,” PIK - Praxis der Informationsverarbeitung und Kommunikation, vol. 36, no. 3, pp. 153–159, 2013.

F. Wex and G. Schryen, “Effektiver Einsatz von Rettungskräften bei Naturkatastrophen - Modelle und Verfahren zur Entscheidungsunterstützung,” Blick in die Wissenschaft, no. 28, pp. 27–32, 2013.

F. Wex, G. Schryen, and D. Neumann, “Assignments of Collaborative Rescue Units during Emergency Response,” International Journal of Information Systems for Crisis Response and Management, vol. 5, no. 4, pp. 63–80, 2013.

F. Wex, G. Schryen, and D. Neumann, “Decision Modeling for Assignments of Collaborative Rescue Units during Emergency Response,” in Proceedings of the 46th Hawaii International Conference on System Science, 2013.

G. Schryen, “Revisiting IS Business Value Research: What we already know, what we still need to know, and how we can get there,” European Journal of Information Systems (EJIS), vol. 22, no. 2, pp. 139–169, 2013.

T. Püschel, G. Schryen, D. Hristova, and D. Neumann, “Cloud Service Revenue Management,” in European Conference on Information Systems, 2012.

F. Lang, G. Schryen, and A. Fink, “Elicitating, modeling, and processing uncertain human preferences for software agents in electronic negotiations: An empirical study,” in International Conference on Information Systems, 2012.

C. Bodenstein, G. Schryen, and D. Neumann, “Energy-Aware Workload Management Models for Operating Cost Reduction in Data Centers,” European Journal of Operational Researchf: EJOR, vol. 222, no. 1, pp. 157–167, 2012.

F. Wex, G. Schryen, and D. Neumann, “A Fuzzy Decision Support Model for Natural Disaster Response under Informational Uncertainty,” International Journal of Information Systems for Crisis Response and Management, vol. 4, no. 3, pp. 23–41, 2012.

F. Wex, G. Schryen, and D. Neumann, “Operational Emergency Response under Informational Uncertainty: A Fuzzy Optimization Model for Scheduling and Allocating Rescue Units,” in International Conference on Information Systems for Crisis Response and Management (ISCRAM) 2012, 2012.

G. Schryen and F. Wex, “IS Design Thinking in Disaster Management Research,” in 45th Hawaii International Conference on System Sciences, 2012.

G. Schryen, “Profis im Netz: Soziale Netzwerke könnten in Unternehmen viel mehr Nutzen stiften - woran hakt es?, in: Die Zeit (12.04.2012),” Die Zeit, 2012.

G. Schryen, “Soziale Netzwerke in Unternehmenskontexten - Potentiale und Anforderungen, in: Information Management &; Consulting, to appear,” IM Information Management &; Consulting, 2012.

F. Lang, G. Schryen, and A. Fink, “Automated Negotiations Under Uncertain Preferences,” in Proceedings of the 2011 International Conference on Information Systems (ICIS 2011), 2011.

C. Bodenstein, G. Schryen, and D. Neumann, “Reducing Datacenter Energy Usage through Efficient Job Allocation,” in Proceedings of the 19th European Conference on Information Systems (ECIS 2011), 2011.

F. Wex, G. Schryen, and D. Neumann, “Intelligent Decision Support for Centralized Coordination during Emergency Response,” in Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2011), 2011.

G. Schryen, M. Volkamer, and S. Ries, “A formal approach towards measuring trust in distributed systems,” in Proceedings of the 26th Annual ACM Symposium on Applied Computing, 2011.

G. Schryen, “Is open source security a myth? What do vulnerability and patch data say?,” Communications of the ACM (CACM), vol. Vol. 54, no. No. 5, pp. 130–139, 2011.

G. Schryen, “Seeking the VALUE in IS Business Value Research - An Agenda for investigating Synergies Between Socio-organizational Change, IS Capabilities Change, and IS Innovation,” in IS Capabilities Change, and IS Innovation, Proceedings of the 19th European Conference on Information Systems (ECIS 2011), Helsinki, 2011.

J. Finkbeiner, C. Bodenstein, G. Schryen, and D. Neumann, “Applying heuristic methods for job scheduling in storage markets,” in 18th European Conference on Information Systems (ECIS 2010), 2010.

C. Bodenstein, G. Schryen, and D. Neumann, “From ‘Take-it-or-leave-it’ offers to ‘Take-it-or-be-left-out’ Ultimatum - A trade mechanism for Online Services,” in 18th European Conference on Information Systems (ECIS 2010), 2010.

M. Volkamer and G. Schryen, “Measuring eTrust in distributed systems - General Concept and Application to Internet Voting,” in Proceedings of the 23rd Bled eConference, 2010.

G. Schryen and R. Eliot, “Increasing software security through open source or closed source development? Empirics suggest that we have asked the wrong question,” in 43rd Annual Hawaii International Conference on System Sciences, 2010.

G. Schryen and C. Bodenstein, “A decision-theoretic foundation of IS business value research,” in Proceedings of the 18th European Conference on Information Systems (ECIS 2010), 2010.

G. Schryen, “A Fuzzy Model for IT Security Investments,” in Sicherheit 2010f: Sicherheit, Schutz und Zuverl\'22assigkeitf; Konferenzband der 5. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft f\'22ur Informatik e.V. (GI), 5. - 7. Oktober 2010 in Berlin, 2010, vol. 170, pp. 289–304.

G. Schryen, “An Analysis of Literature Reviews on IS Business Value: How Deficiencies in Methodology and Theory Use Resulted in Limited Effectiveness,” in Proceedings of the First Scandinavian Conference on Information Systems (SCIS), 2010.

G. Schryen, “Preserving knowledge on IS business value: what literature reviews have done,” Business \'26; Information Systems Engineering (BISE), vol. 52, no. 4, pp. 225–237, 2010.

G. Schryen, “Ökonomischer Wert von Informationssystemen - Beitrag von Literatur-Reviews zum Wissenserhalt ( = Preserving Knowledge on IS Business Value. What Literature Reviews Have Done),” Wirtschaftsinformatik, vol. 52, no. 4, pp. 225–237, 2010.

M. Volkamer, G. Schryen, L. Langer, A. Schmidt, and J. Buchmann, “Elektronische Wahlen: Verifizierung vs. Zertifizierung,” in Workshop Elektronische Wahlen, elektronische Teilhabe, Societyware, 39th GI-Jahrestagung, 2009.

G. Schryen and E. Rich, “Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland,” IEEE Transactions on Information Forensics \'26; Security, vol. 4, no. 4 Part, pp. 729–744, 2009.

G. Schryen and R. Kadura, “Open Source vs. Closed Source Software: Towards Measuring Security,” in 24th Annual ACM Symposium on Applied Computing, 2009.

G. Schryen, “A comprehensive and comparative analysis of the patching behavior of open source and closed source software vendors,” in 5th International Conference on IT Security Incident Management \'26; IT Forensics, 2009.