@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}},
}

@article{54163,
  author       = {{Tavana, Madjid and Di Caprio, Debora and Santos-Arteaga, Francisco J.}},
  issn         = {{1851-6599}},
  journal      = {{Journal of Centrum Cathedra}},
  number       = {{1}},
  pages        = {{52--70}},
  publisher    = {{Emerald}},
  title        = {{{Managing team coordination incentives: the effect of payoff differentials}}},
  doi          = {{10.1108/jcc-08-2016-0003}},
  volume       = {{9}},
  year         = {{2016}},
}

@article{54165,
  author       = {{Khalili-Damghani, Kaveh and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{1568-4946}},
  journal      = {{Applied Soft Computing}},
  pages        = {{676--702}},
  publisher    = {{Elsevier BV}},
  title        = {{{A comprehensive fuzzy DEA model for emerging market assessment and selection decisions}}},
  doi          = {{10.1016/j.asoc.2015.09.048}},
  volume       = {{38}},
  year         = {{2016}},
}

@article{54168,
  author       = {{Ebrahimnejad, Ali and Tavana, Madjid and Alrezaamiri, Hamidreza}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{48--56}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel artificial bee colony algorithm for shortest path problems with fuzzy arc weights}}},
  doi          = {{10.1016/j.measurement.2016.06.050}},
  volume       = {{93}},
  year         = {{2016}},
}

@article{54154,
  author       = {{Tavana, Madjid and Di Caprio, Debora and Santos-Arteaga, Francisco J.}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  number       = {{2}},
  pages        = {{647--676}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis}}},
  doi          = {{10.1007/s10479-016-2114-7}},
  volume       = {{244}},
  year         = {{2016}},
}

@article{54153,
  author       = {{Tavana, Madjid and Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tierney, Kevin}},
  issn         = {{0378-7206}},
  journal      = {{Information & Management}},
  number       = {{2}},
  pages        = {{207--226}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modeling signal-based decisions in online search environments: A non-recursive forward-looking approach}}},
  doi          = {{10.1016/j.im.2015.10.002}},
  volume       = {{53}},
  year         = {{2016}},
}

@article{54155,
  author       = {{Tavana, Madjid and Li, Zhaojun and Mobin, Mohammadsadegh and Komaki, Mohammad and Teymourian, Ehsan}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  pages        = {{17--39}},
  publisher    = {{Elsevier BV}},
  title        = {{{Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS}}},
  doi          = {{10.1016/j.eswa.2015.11.007}},
  volume       = {{50}},
  year         = {{2016}},
}

@article{54159,
  author       = {{Tavana, Madjid and Liu, Weiru and Elmore, Paul and Petry, Frederick E. and Bourgeois, Brian S.}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{123--162}},
  publisher    = {{Elsevier BV}},
  title        = {{{A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems}}},
  doi          = {{10.1016/j.measurement.2015.12.007}},
  volume       = {{81}},
  year         = {{2016}},
}

@article{54158,
  author       = {{Tavana, Madjid and Fallahpour, Alireza and Di Caprio, Debora and Santos-Arteaga, Francisco J.}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  pages        = {{129--144}},
  publisher    = {{Elsevier BV}},
  title        = {{{A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection}}},
  doi          = {{10.1016/j.eswa.2016.05.027}},
  volume       = {{61}},
  year         = {{2016}},
}

@article{54156,
  author       = {{Tavana, Madjid and Zareinejad, Mohsen and Di Caprio, Debora and Kaviani, Mohamad Amin}},
  issn         = {{1568-4946}},
  journal      = {{Applied Soft Computing}},
  pages        = {{544--557}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics}}},
  doi          = {{10.1016/j.asoc.2015.12.005}},
  volume       = {{40}},
  year         = {{2016}},
}

@article{54157,
  author       = {{Tavana, Madjid and Kiani Mavi, Reza and Santos-Arteaga, Francisco J. and Rasti Doust, Elahe}},
  issn         = {{0360-8352}},
  journal      = {{Computers & Industrial Engineering}},
  pages        = {{240--247}},
  publisher    = {{Elsevier BV}},
  title        = {{{An extended VIKOR method using stochastic data and subjective judgments}}},
  doi          = {{10.1016/j.cie.2016.05.013}},
  volume       = {{97}},
  year         = {{2016}},
}

@article{54152,
  author       = {{Tavana, Madjid and Di Caprio, Debora and Santos Arteaga, Francisco J.}},
  issn         = {{0011-7315}},
  journal      = {{Decision Sciences}},
  number       = {{4}},
  pages        = {{720--761}},
  publisher    = {{Wiley}},
  title        = {{{Modeling Sequential Information Acquisition Behavior in Rational Decision Making}}},
  doi          = {{10.1111/deci.12193}},
  volume       = {{47}},
  year         = {{2016}},
}

@inproceedings{5678,
  abstract     = {{Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many scheduling problems are NP-hard in the strong sense, there is a need for developing solution heuristics. For scheduling problems with setup times on unrelated parallel machines, there is limited research on solution methods and to the best of our knowledge, parallel computer architectures have not yet been taken advantage of. We address this gap by proposing and implementing a new solution heuristic and by testing different parallelization strategies. In our computational experiments, we show that our heuristic calculates near-optimal solutions even for large instances and that computing time can be reduced substantially by our parallelization approach.}},
  author       = {{Rauchecker, Gerhard and Schryen, Guido}},
  booktitle    = {{Australasian Conference on Information Systems}},
  keywords     = {{scheduling, decision support, heuristic, high performance computing, parallel algorithms}},
  pages        = {{1--13}},
  title        = {{{High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic}}},
  year         = {{2015}},
}

@article{5679,
  abstract     = {{Cloud computing promises the flexible delivery of computing services in a pay-as-you-go manner. It allows customers to easily scale their infrastructure and save on the overall cost of operation. However Cloud service offerings can only thrive if customers are satisfied with service performance. Allow-ing instantaneous access and flexible scaling while maintaining the service levels and offering competitive prices poses a significant challenge to Cloud Computing providers. Furthermore services will remain available in the long run only if this business generates a stable revenue stream. To address these challenges we introduce novel policy-based service admission control mod-els that aim at maximizing the revenue of Cloud providers while taking in-formational uncertainty regarding resource requirements into account. Our evaluation shows that policy-based approaches statistically significantly out-perform first come first serve approaches, which are still state of the art. Furthermore the results give insights in how and to what extent uncertainty has a negative impact on revenue.}},
  author       = {{Püschel, Tim and Schryen, Guido and Hristova, Diana and Neumann, Dirk}},
  journal      = {{European Journal of Operational Research}},
  keywords     = {{admission control, informational uncertainty, revenue management, cloud computing}},
  number       = {{2}},
  pages        = {{637--647}},
  publisher    = {{Elsevier}},
  title        = {{{Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty}}},
  volume       = {{244}},
  year         = {{2015}},
}

@inproceedings{5541,
  author       = {{Yasasin, Emrah and Schryen, Guido}},
  booktitle    = {{23rd European Conference on Information Systems (ECIS 2015)}},
  title        = {{{Requirements for IT Security Metrics - An Argumentation Theory Based Approach}}},
  year         = {{2015}},
}

@inproceedings{5588,
  abstract     = {{The protection of information technology (IT) has become and is predicted to remain a key economic challenge for organizations. While research on IT security investment is fast growing, it lacks a theoretical basis for structuring research, explaining economic-technological phenomena and guide future research. We address this shortcoming by suggesting a new theoretical model emerging from a multi-theoretical perspective adopt-ing the Resource-Based View and the Organizational Learning Theory. The joint appli-cation of these theories allows to conceptualize in one theoretical model the organiza-tional learning effects that occur when the protection of organizational resources through IT security countermeasures develops over time. We use this model of IT security invest-ments to synthesize findings of a large body of literature and to derive research gaps. We also discuss managerial implications of (closing) these gaps by providing practical ex-amples.}},
  author       = {{Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}},
  booktitle    = {{International Conference on Information Systems}},
  keywords     = {{Information Security, Investment, Literature review, Resource-based View, Organi-zational Learning Theory, Multi-theoretical Perspective}},
  title        = {{{A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory}}},
  year         = {{2015}},
}

@inproceedings{5589,
  author       = {{Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}},
  booktitle    = {{23rd European Conference on Information Systems (ECIS 2015)}},
  title        = {{{IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review}}},
  year         = {{2015}},
}

@inproceedings{5590,
  abstract     = {{Nowadays, providing employees with failure-free access to various systems, applications and services is a crucial factor for organizations? success as disturbances potentially inhibit smooth workflows and thereby harm productivity. However, it is a challenging task to assign access rights to employees? accounts within a satisfying time frame. In addition, the management of multiple accounts and identities can be very onerous and time consuming for the responsible administrator and therefore expensive for the organization. In order to meet these challenges, firms decide to invest in introducing an Identity and Access Management System (IAMS) that supports the organization by using policies to assign permissions to accounts, groups, and roles. In practice, since various versions of IAMSs exist, it is a challenging task to decide upon introduction of an IAMS. The following study proposes a first attempt of a decision support model for practitioners which considers four alternatives: Introduction of an IAMS with Role-based Access Control RBAC) or without and no introduction of IAMS again with or without RBAC. To underpin the practical applicability of the proposed model, we parametrize and operationalize it based on a real world use case using input from an expert interview.}},
  author       = {{Weishäupl, Eva and Kunz, Michael and Yasasin, Emrah and Wagner, Gerit and Prester, Julian and Schryen, Guido and Pernul, Günther}},
  booktitle    = {{2nd International Workshop on Security in highly connected IT Systems (SHCIS?15)}},
  keywords     = {{Identity and Access Management, Economic Decision Making, Information Systems, Information Security Investment, Decision Theory}},
  title        = {{{Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory}}},
  year         = {{2015}},
}

