TY - JOUR AU - Schryen, Guido ID - 15414 IS - 9 JF - Communications of the ACM TI - Integrating Management Science into the HPC Research Ecosystem VL - 63 ER - TY - JOUR AB - This interview is part of the special issue (01/2020) on “High Performance Business Computing” to be published in the journal Business & Information Systems Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European Research Lab (CERL)). A bio of him is included at the end of the interview. AU - Schryen, Guido AU - Kliewer, Natalia AU - Fink, Andreas ID - 15513 IS - 01/2020 JF - Business & Information Systems Engineering TI - Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges" VL - 62 ER - TY - JOUR AU - Schryen, Guido ID - 15022 IS - 1 JF - European Journal of Operational Research TI - Parallel computational optimization in operations research: A new integrative framework, literature review and research directions VL - 287 ER - TY - JOUR AB - Timing plays a crucial role in the context of information security investments. We regard timing in two dimensions, namely the time of announcement in relation to the time of investment and the time of announcement in relation to the time of a fundamental security incident. The financial value of information security investments is assessed by examining the relationship between the investment announcements and their stock market reaction focusing on the two time dimensions. Using an event study methodology, we found that both dimensions influence the stock market return of the investing organization. Our results indicate that (1) after fundamental security incidents in a given industry, the stock price will react more positively to a firm’s announcement of actual information security investments than to announcements of the intention to invest; (2) the stock price will react more positively to a firm’s announcements of the intention to invest after the fundamental security incident compared to before; and (3) the stock price will react more positively to a firm’s announcements of actual information security investments after the fundamental security incident compared to before. Overall, the lowest abnormal return can be expected when the intention to invest is announced before a fundamental information security incident and the highest return when actual investing after a fundamental information security incident in the respective industry. AU - Szubartowicz, Eva AU - Schryen, Guido ID - 16249 IS - 1 JF - Journal of Information System Security KW - Event Study KW - Information Security KW - Investment Announcements KW - Stock Price Reaction KW - Value of Information Security Investments TI - Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements VL - 16 ER - TY - JOUR AB - Literature reviews (LRs) play an important role in the development of domain knowledge in all fields. Yet, we observe a lack of insights into the activities with which LRs actually develop knowledge. To address this important gap, we (1) derive knowledge building activities from the extant literature on LRs, (2) suggest a knowledge-based typology of LRs that complements existing typologies, and (3) apply the suggested typology in an empirical study that explores how LRs with different goals and methodologies have contributed to knowledge development. The analysis of 240 LRs published in 40 renowned IS journals between 2000 and 2014 allows us to draw a detailed picture of knowledge development achieved by one of the most important genres in the IS field. An overarching contribution of our work is to unify extant conceptualizations of LRs by clarifying and illustrating how LRs apply different methodologies in a range of knowledge building activities to achieve their goals with respect to theory. AU - Schryen, Guido AU - Wagner, Gerit AU - Benlian, Alexander AU - Paré, Guy ID - 11946 JF - Communications of the AIS KW - Literature review KW - knowledge development KW - knowledge building activities KW - knowledge-based typology KW - information systems research SN - 1529-3181 TI - A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field VL - 46 ER - TY - JOUR AU - Schryen, Guido AU - Kliewer, Natalia AU - Fink, Andreas ID - 14985 IS - 1 JF - Business & Information Systems Engineering TI - High Performance Business Computing VL - 62 ER - TY - JOUR AB - Today, organizations must deal with a plethora of IT security threats and to ensure smooth and uninterrupted business operations, firms are challenged to predict the volume of IT security vulnerabilities and allocate resources for fixing them. This challenge requires decision makers to assess which system or software packages are prone to vulnerabilities, how many post-release vulnerabilities can be expected to occur during a certain period of time, and what impact exploits might have. Substantial research has been dedicated to techniques that analyze source code and detect security vulnerabilities. However, only limited research has focused on forecasting security vulnerabilities that are detected and reported after the release of software. To address this shortcoming, we apply established methodologies which are capable of forecasting events exhibiting specific time series characteristics of security vulnerabilities, i.e., rareness of occurrence, volatility, non-stationarity, and seasonality. Based on a dataset taken from the National Vulnerability Database (NVD), we use the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to measure the forecasting accuracy of single, double, and triple exponential smoothing methodologies, Croston's methodology, ARIMA, and a neural network-based approach. We analyze the impact of the applied forecasting methodology on the prediction accuracy with regard to its robustness along the dimensions of the examined system and software package "operating systems", "browsers" and "office solutions" and the applied metrics. To the best of our knowledge, this study is the first to analyze the effect of forecasting methodologies and to apply metrics that are suitable in this context. Our results show that the optimal forecasting methodology depends on the software or system package, as some methodologies perform poorly in the context of IT security vulnerabilities, that absolute metrics can cover the actual prediction error precisely, and that the prediction accuracy is robust within the two applied forecasting-error metrics. AU - Yasasin, Emrah AU - Prester, Julian AU - Wagner, Gerit AU - Schryen, Guido ID - 13175 IS - January JF - Computers & Security SN - 0167-4048 TI - Forecasting IT Security Vulnerabilities - An Empirical Analysis VL - 88 ER - TY - JOUR AB - In disaster operations management, a challenging task for rescue organizations occurs when they have to assign and schedule their rescue units to emerging incidents under time pressure in order to reduce the overall resulting harm. Of particular importance in practical scenarios is the need to consider collaboration of rescue units. This task has hardly been addressed in the literature. We contribute to both modeling and solving this problem by (1) conceptualizing the situation as a type of scheduling problem, (2) modeling it as a binary linear minimization problem, (3) suggesting a branch-and-price algorithm, which can serve as both an exact and heuristic solution procedure, and (4) conducting computational experiments - including a sensitivity analysis of the effects of exogenous model parameters on execution times and objective value improvements over a heuristic suggested in the literature - for different practical disaster scenarios. The results of our computational experiments show that most problem instances of practically feasible size can be solved to optimality within ten minutes. Furthermore, even when our algorithm is terminated once the first feasible solution has been found, this solution is in almost all cases competitive to the optimal solution and substantially better than the solution obtained by the best known algorithm from the literature. This performance of our branch-and-price algorithm enables rescue organizations to apply our procedure in practice, even when the time for decision making is limited to a few minutes. By addressing a very general type of scheduling problem, our approach applies to various scheduling situations. AU - Rauchecker, Gerhard AU - Schryen, Guido ID - 5674 IS - 1 JF - European Journal of Operational Research KW - OR in disaster relief KW - disaster operations management KW - scheduling KW - branch-and-price TI - An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response VL - 272 ER - TY - JOUR AB - Scheduling problems are essential for decision making in many academic disciplines, including operations management, computer science, and information systems. Since many scheduling problems are NP-hard in the strong sense, there is only limited research on exact algorithms and how their efficiency scales when implemented on parallel computing architectures. We address this gap by (1) adapting an exact branch-and-price algorithm to a parallel machine scheduling problem on unrelated machines with sequence- and machine-dependent setup times, (2) parallelizing the adapted algorithm by implementing a distributed-memory parallelization with a master/worker approach, and (3) conducting extensive computational experiments using up to 960 MPI processes on a modern high performance computing cluster. With our experiments, we show that the efficiency of our parallelization approach can lead to superlinear speedup but can vary substantially between instances. We further show that the wall time of serial execution can be substantially reduced through our parallelization, in some cases from 94 hours to less than six minutes when our algorithm is executed on 960 processes. AU - Rauchecker, Gerhard AU - Schryen, Guido ID - 6512 IS - 104 JF - Computers & Operations Research KW - parallel machine scheduling with setup times KW - parallel branch-and-price algorithm KW - high performance computing KW - master/worker parallelization TI - Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm ER - TY - CONF AB - Recommender Agents (RAs) facilitate consumers’ online purchase decisions for complex, multi-attribute products. As not all combinations of attribute levels can be obtained, users are forced into trade-offs. The exposure of trade-offs in a RA has been found to affect consumers’ perceptions. However, little is known about how different preference elicitation methods in RAs affect consumers by varying degrees of trade-off exposure. We propose a research model that investigates how different levels of trade-off exposure cognitively and affectively influence consumers’ satisfaction with RAs. We operationalize these levels in three different RA types and test our hypotheses in a laboratory experiment with 116 participants. Our results indicate that with increasing tradeoff exposure, perceived enjoyment and perceived control follow an inverted Ushaped relationship. Hence, RAs using preference elicitation methods with medium trade-off exposure yield highest consumer satisfaction. This contributes to the understanding of trade-offs in RAs and provides valuable implications to e-commerce practitioners. AU - Schuhbeck, Veronika AU - Siegfried, Nils AU - Dorner, Verena AU - Benlian, Alexander AU - Scholz, Michael AU - Schryen, Guido ID - 6514 KW - Recommender Agents KW - Preference Elicitation Method KW - Trade-off Exposure KW - Customer Satisfaction T2 - Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik TI - Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents ER -