TY - CONF AB - Design science is a fundamental research stream that contends its position in the information systems discipline. While ongoing debates address the relative importance of design science contributions in the information systems community, insights into the scientific impact of design science research (DSR) are missing and this lack of understanding arguably poses challenges to an informed discourse. To identify the most influential papers and those factors that explain their scientific impact, this paper presents an exploratory study of the scientific impact of DSR papers published in the AIS Senior Scholars' Basket of Journals. We uncover the current DSR landscape by taking stock of influential papers and theories and develop a model to explain the scientific impact of DSR papers. Our findings show that scientific impact is significantly explained by theorization and novelty. We discuss how the implications of our work can be projected on the overarching discourse on DSR. AU - Wagner, Gerit AU - Prester, Julian AU - Schryen, Guido ID - 5594 T2 - 38th International Conference on Information Systems TI - Exploring the Scientific Impact of Information Systems Design Science Research: A Scientometric Study ER - TY - JOUR AU - Schryen, Guido AU - Hristova, Diana ID - 5626 JF - Smart Data Radar (Deutsche Bank) TI - High-Performance Business Computing - Effizienzsteigerung durch Parallelisierung ER - TY - JOUR AB - Literature reviews (LRs) are recognized for their increasing impact in the information systems literature. Methodologists have drawn attention to the question of how we can leverage the value of LRs to preserve and generate knowledge. The panelists who participated in the discussion of ?Standalone Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?? at ICIS 2016 in Dublin acknowledged this significant issue and debated a) what the IS field can learn from other fields and where IS-specific challenges occur, b) how the IS field should move forward to foster the genre of LRs, and c) what best practices are to train doctoral IS students in publishing LRs. This article reports the key takeaways of this panel discussion. Guidance for IS scholars is provided on how to conduct LRs that contribute to the cumulative knowledge development within and across the IS field to best prepare the next generation of IS scholars. AU - Schryen, Guido AU - Benlian, Alexander AU - Rowe, Frantz AU - Shirley, Gregor AU - Larsen, Kai AU - Petter, Stacie AU - Par{\'e}, Guy AU - Wagner, Gerit AU - Haag, Steffi AU - Yasasin, Emrah ID - 5633 JF - Communications of the AIS KW - Literature Review KW - Review Methodology KW - Research Methodology KW - Doctoral Training SN - 1529-3181 TI - Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields? VL - 40 ER - TY - JOUR AB - Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers' decision processes in e-commerce shopping tasks. AU - Scholz, Michael AU - Dorner, Verena AU - Schryen, Guido AU - Benlian, Alexander ID - 5671 IS - 1 JF - European Journal of Operational Research KW - E-Commerce KW - Recommender System KW - Attribute Weights KW - Configuration System KW - Decision Support TI - A configuration-based recommender system for supporting e-commerce decisions VL - 259 ER - TY - CHAP AU - Beckschäfer, Michaela AU - Malberg, Simon AU - Tierney, Kevin AU - Weskamp, Christoph ID - 14857 SN - 0302-9743 T2 - Lecture Notes in Computer Science TI - Simulating Storage Policies for an Automated Grid-Based Warehouse System ER - TY - JOUR AU - Rauchecker, Gerhard AU - Schryen, Guido ID - 5676 JF - Im Einsatz TI - Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer VL - 23 ER - TY - CONF AU - Wagner, Gerit AU - Prester, Julian AU - Roche, Maria AU - Benlian, Alexander AU - Schryen, Guido ID - 5595 T2 - International Conference on Information Systems TI - Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric Study ER - TY - JOUR AB - CAPTCHAs are challenge-response tests that aim at preventing unwanted machines, including bots, from accessing web services while providing easy access for humans. Recent advances in artificial-intelligence based attacks show that the level of security provided by many state-of-the-art text-based CAPTCHAs is declining. At the same time, techniques for distorting and obscuring the text, which are used to maintain the level of security, make text-based CAPTCHAs diffcult to solve for humans, and thereby further degrade usability. The need for developing alternative types of CAPTCHAs which improve both, the current security and usability levels, has been emphasized by several researchers. With this study, we contribute to research through (1) the development of two new face recognition CAPTCHAs (Farett-Gender and Farett-Gender&Age), (2) the security analysis of both procedures, and (3) the provision of empirical evidence that one of the suggested CAPTCHAs (Farett-Gender) is similar to Google's reCAPTCHA and better than KCAPTCHA concerning effectiveness (error rates), superior to both regarding learnability and satisfaction but not effciency. AU - Schryen, Guido AU - Wagner, Gerit AU - Schlegel, Alexander ID - 5617 IS - July JF - Computers & Security KW - CAPTCHA KW - Usability KW - Facial features KW - Gender classiffcation KW - Age classification KW - Face recognition reverse Turing test TI - Development of two novel face-recognition CAPTCHAs: a security and usability study VL - 60 ER - TY - CONF AB - 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. AU - Rauchecker, Gerhard AU - Schryen, Guido ID - 5678 KW - scheduling KW - decision support KW - heuristic KW - high performance computing KW - parallel algorithms T2 - Australasian Conference on Information Systems TI - High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic ER - TY - JOUR AB - 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. AU - Püschel, Tim AU - Schryen, Guido AU - Hristova, Diana AU - Neumann, Dirk ID - 5679 IS - 2 JF - European Journal of Operational Research KW - admission control KW - informational uncertainty KW - revenue management KW - cloud computing TI - Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty VL - 244 ER - TY - CONF AU - Yasasin, Emrah AU - Schryen, Guido ID - 5541 T2 - 23rd European Conference on Information Systems (ECIS 2015) TI - Requirements for IT Security Metrics - An Argumentation Theory Based Approach ER - TY - CONF AB - 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. AU - Weishäupl, Eva AU - Yasasin, Emrah AU - Schryen, Guido ID - 5588 KW - Information Security KW - Investment KW - Literature review KW - Resource-based View KW - Organi-zational Learning Theory KW - Multi-theoretical Perspective T2 - International Conference on Information Systems TI - A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory ER - TY - CONF AU - Weishäupl, Eva AU - Yasasin, Emrah AU - Schryen, Guido ID - 5589 T2 - 23rd European Conference on Information Systems (ECIS 2015) TI - IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review ER - TY - CONF AB - 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. AU - Weishäupl, Eva AU - Kunz, Michael AU - Yasasin, Emrah AU - Wagner, Gerit AU - Prester, Julian AU - Schryen, Guido AU - Pernul, Günther ID - 5590 KW - Identity and Access Management KW - Economic Decision Making KW - Information Systems KW - Information Security Investment KW - Decision Theory T2 - 2nd International Workshop on Security in highly connected IT Systems (SHCIS?15) TI - Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory ER - TY - JOUR AU - Schryen, Guido AU - Weishäupl, Eva ID - 5616 IS - 2 JF - Managementkompass TI - IT-Sicherheit: Ökonomisch Planen und Bewerten ER - TY - CONF AB - Literature reviews play an important role in the development of knowledge. Yet, we observe a lack of theoretical underpinning of and epistemological insights into how literature reviews can contribute to knowledge creation and have actually contributed in the IS discipline. To address these theoretical and empirical research gaps, we suggest a novel epistemological model of literature reviews. This model allows us to align different contributions of literature reviews with their underlying knowledge conversions - thereby building a bridge between the previously largely unconnected fields of literature reviews and epistemology. We evaluate the appropriateness of the model by conducting an empirical analysis of 173 IS literature reviews which were published in 39 pertinent IS journals between 2000 and 2014. Based on this analysis, we derive an epistemological taxonomy of IS literature reviews, which complements previously suggested typologies. AU - Schryen, Guido AU - Wagner, Gerit AU - Benlian, Alexander ID - 5618 KW - Literature review KW - Research methods/methodology KW - Theory of knowledge T2 - International Conference on Information Systems (ICIS) TI - Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature ER - TY - JOUR AU - Schryen, Guido AU - Rauchecker, Gerhard AU - Comes, Martina ID - 5622 IS - 4 JF - Business & Information Systems Engineering (BISE) TI - Resource Planning in Disaster Response - Decision Support Models and Methodologies VL - 57 ER - TY - JOUR AU - Schryen, Guido ID - 5634 IS - Art 12 JF - Communications of the AIS TI - Writing qualitative IS literature reviews ? Guidelines for synthesis, interpretation and guidance of research VL - 37 ER - TY - CONF AU - Rauchecker, Gerhard AU - Yasasin, Emrah AU - Schryen, Guido ID - 5672 T2 - 11th International Conference on Trust, Privacy, and Security in Digital Business (TRUSTBUS) TI - A Decision Support System for IT Security Incident Management ER - TY - JOUR AU - Fink, Andreas AU - Kliewer, Natalia AU - Mattfeld, Dirk AU - Mönch, Lars AU - Rothlauf, Franz AU - Schryen, Guido AU - Suhl, Leena AU - Voß, Stefan ID - 5686 IS - 1 JF - Business & Information Systems Engineering (BISE) TI - Model-based Decision Support in Manufacturing and Service Networks VL - 6 ER -