TY - CHAP A1 - Eigelshoven, Felix A1 - Ullrich, André A1 - Bender, Benedict T1 - Public blockchain BT - a systematic literature review on the sustainability of consensus algorithms T2 - Proceedings of the 28th European Conference on Information Systems (ECIS)- A Virtual AIS Conference N2 - Blockchain has the potential to change business transactions to a major extent. Thereby, underlying consensus algorithms are the core mechanism to achieve consistency in distributed infrastructures. Their application aims for transparency and accountability in societal transactions. As a result of missing reviews holistically covering consensus algorithms, we aim to (1) identify prevalent consensus algorithms for public blockchains, and (2) address the resource perspective with a sustainability consideration (whereby we address the three spheres of sustainability). Our systematic literature review identified 33 different consensus algorithms for public blockchains. Our contribution is twofold: first, we provide a systematic summary of consensus algorithms for public blockchains derived from the scientific literature as well as real-world applications and systemize them according to their research focus; second, we assess the sustainability of consensus algorithms using a representative sample and thereby highlight the gaps in literature to address the holistic sustainability of consensus algorithms. KW - Blockchain KW - Consensus algorithms KW - Sustainability KW - Systematic literature revieew Y1 - 2020 UR - https://aisel.aisnet.org/ecis2020_rp/202 SP - 1 EP - 19 ER - TY - CHAP A1 - Bender, Benedict A1 - Szadowiak, Andrzej Marcin T1 - Feature removal on software platforms BT - discontinued core features on browser platformsa case study on mozilla firefox T2 - IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) N2 - Software platforms allow for the extension of features by third-party contributors. Thereby, platform innovation is an important aspects of platforms attractiveness for users and complementors. While previous research focused the introduction of new features, the aspect of feature removal and discontinued features on software platforms has been disregarded. To explore the phenomenon and motivations for feature removal on software platforms, a review of recent literature is provided. To illustrate the existence of and motivations for feature removal, a case study of the browser platform Mozilla Firefox is presented. The results reveal feature removal to regularly occur on browser platforms for user- and developer-related features. Frequent reasons for feature removal involve unused features, security concerns, and bugs. Related motivations for feature removal are discussed from the platform owner's perspective. Implications for complementors and users are highlighted. KW - Software Platforms KW - Discontinued Features KW - Feature Removal KW - Lean Core KW - Platform Innovation KW - Browser Platform KW - Mozilla Firefox Y1 - 2021 U6 - https://doi.org/10.1109/ICE/ITMC52061.2021.9570245 SP - 1 EP - 9 PB - IEEE CY - New York ER - TY - CHAP A1 - Bender, Benedict A1 - Grum, Marcus T1 - Gamification and dynamisation of the continous improvement processes BT - design and realization of a gamification platform for continous improvement T2 - International Conference on Electrical, Computer and Energy Technologies N2 - The idea of the continuous improvement process (CIP) helps companies to continuously improve their operation and thereby contributes to their competitiveness. Through digi tization, new potentials emerge to solve known CIP issues. This contribution specifically addresses the individual motivation of employees to contribute to the CIP. Typically, related initiatives lack contributions over time. The use of gamification is a promising way to achieve continuous participation by addressing the individual needs of participants. While the use of extrinsic motivation elements is common in practice, the idea of this approach is to specifically address intrinsic motivations which serve as a long-term motivator. This article contributes to a gam-ification concept for the continuous improvement process. The main results include an adapted CIP, a gamification concept, and a market mechanism. Furthermore, the concept is implemented and demonstrated as a prototype in an online platform. Y1 - 2021 U6 - https://doi.org/10.1109/ICECET52533.2021.9698530 SP - 1 EP - 7 PB - IEEE CY - New York ER - TY - CHAP A1 - Panzer, Marcel A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Deep reinforcement learning in production planning and control BT - A systematic literature review T2 - Proceedings of the Conference on Production Systems and Logistics N2 - Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions while still guaranteeing high throughputs and robustness against external disruptions. Deep rein- forcement learning (RL) algorithms, which already reached impressive success with Google DeepMind's AlphaGo, are increasingly transferred to production systems to meet related requirements. Unlike supervised and unsupervised machine learning techniques, deep RL algorithms learn based on recently collected sensor- and process-data in direct interaction with the environment and are able to perform decisions in real-time. As such, deep RL algorithms seem promising given their potential to provide decision support in complex environments, as production systems, and simultaneously adapt to changing circumstances. While different use-cases for deep RL emerged, a structured overview and integration of findings on their application are missing. To address this gap, this contribution provides a systematic literature review of existing deep RL applications in the field of production planning and control as well as production logistics. From a performance perspective, it became evident that deep RL can beat heuristics significantly in their overall performance and provides superior solutions to various industrial use-cases. Nevertheless, safety and reliability concerns must be overcome before the widespread use of deep RL is possible which presumes more intensive testing of deep RL in real world applications besides the already ongoing intensive simulations. KW - deep reinforcement learning KW - machine learning KW - production planning KW - production control KW - systematic literature review Y1 - 2021 U6 - https://doi.org/10.15488/11238 SN - 2701-6277 SP - 535 EP - 545 PB - Institutionelles Repositorium der Leibniz Universität Hannover CY - Hannover ER - TY - CHAP A1 - Grum, Marcus A1 - Bender, Benedict A1 - Alfa, Attahiru S. T1 - The construction of a common objective function for analytical infrastructures T2 - 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) N2 - The paper deals with the increasing growth of embedded systems and their role within structures similar to the Internet (Internet of Things) as those that provide calculating power and are more or less appropriate for analytical tasks. Faced with the example of a cyber-physical manufacturing system, a common objective function is developed with the intention to measure efficient task processing within analytical infrastructures. A first validation is realized on base of an expert panel. KW - Analytic Infrastructures KW - Cyber-Physical Manufacturing Systems KW - Measuring Efficient Task Processing Y1 - 2018 U6 - https://doi.org/10.1109/ICE.2017.8279892 SP - 219 EP - 225 PB - IEEE CY - New York ER - TY - CHAP A1 - Ermakova, Tatiana A1 - Fabian, Benjamin A1 - Bender, Benedict A1 - Klimek, Kerstin T1 - Web Tracking BT - a literature review on the state of research T2 - Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS 51) N2 - Web tracking seems to become ubiquitous in online business and leads to increased privacy concerns of users. This paper provides an overview over the current state of the art of web-tracking research, aiming to reveal the relevance and methodologies of this research area and creates a foundation for future work. In particular, this study addresses the following research questions: What methods are followed? What results have been achieved so far? What are potential future research areas? For these goals, a structured literature review based upon an established methodological framework is conducted. The identified articles are investigated with respect to the applied research methodologies and the aspects of web tracking they emphasize. KW - Information Security and Privacy KW - literature review KW - privacy KW - web-tracking Y1 - 2018 U6 - https://doi.org/10.24251/HICSS.2018.596 SN - 2572-6862 SP - 4732 EP - 4741 PB - HICSS Conference Office University of Hawaii at Manoa CY - Maile Way ER - TY - CHAP A1 - Gronau, Norbert A1 - Grum, Marcus A1 - Bender, Benedict T1 - Determining the optimal level of autonomy in cyber-physical production systems T2 - IEEE 14th International Conference on Industrial Informatics (INDIN) N2 - Traditional production systems are enhanced by cyber-physical systems (CPS) and Internet of Things. A kind of next generation systems, those cyber-physical production systems (CPPS) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment. KW - cyber-physical systems KW - hybrid simulation KW - Internet of Things KW - manufacturing systems KW - production engineering computing KW - cyber-physical production systems Y1 - 2017 U6 - https://doi.org/10.1109/INDIN.2016.7819367 SP - 1293 EP - 1299 PB - IEEE CY - New York ER - TY - CHAP A1 - Bender, Benedict A1 - Fabian, Benjamin A1 - Haupt, Johannes A1 - Neumann, Tom T1 - Track and Treat BT - usage of e-mail tracking for newsletter individualization T2 - Twenty-Sixth European Conference on Information Systems (ECIS 2018) N2 - E-Mail tracking mechanisms gather information on individual recipients’ reading behavior. Previous studies show that e-mail newsletters commonly include tracking elements. However, prior work does not examine the degree to which e-mail senders actually employ gathered user information. The paper closes this research gap by means of an experimental study to clarify the use of tracking-based infor- mation. To that end, twelve mail accounts are created, each of which subscribes to a pre-defined set of newsletters from companies based in Germany, the UK, and the USA. Systematically varying e-mail reading patterns across accounts, each account simulates a different type of user with individual read- ing behavior. Assuming senders to track e-mail reading habits, we expect changes in mailer behavior. The analysis confirms the prominence of tracking in that over 92% of the newsletter e-mails contain tracking images. For 13 out of 44 senders an adjustment of communication policy in response to user reading behavior is observed. Observed effects include sending newsletters at different times, adapting advertised products to match the users’ IT environment, increased or decreased mailing frequency, and mobile-specific adjustments. Regarding legal issues, not all companies that adapt the mail-sending behavior state the usage of such mechanisms in their privacy policy. KW - E-Mail Tracking KW - Newsletter KW - Individualization KW - Personalization KW - Privacy Y1 - 2018 UR - https://aisel.aisnet.org/ecis2018_rp/59 ER - TY - CHAP A1 - Schlosser, Rainer A1 - Boissier, Martin ED - Liberatore, Federico ED - Parlier, Greg H. ED - Demange, Marc T1 - Optimal price reaction strategies in the presence of active and passive competitors T2 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - ICORES N2 - Many markets are characterized by pricing competition. Typically, competitors are involved that adjust their prices in response to other competitors with different frequencies. We analyze stochastic dynamic pricing models under competition for the sale of durable goods. Given a competitor’s pricing strategy, we show how to derive optimal response strategies that take the anticipated competitor’s price adjustments into account. We study resulting price cycles and the associated expected long-term profits. We show that reaction frequencies have a major impact on a strategy’s performance. In order not to act predictable our model also allows to include randomized reaction times. Additionally, we study to which extent optimal response strategies of active competitors are affected by additional passive competitors that use constant prices. It turns out that optimized feedback strategies effectively avoid a decline in price. They help to gain profits, especially, when aggressive competitor s are involved. KW - Dynamic Pricing KW - Competition KW - Optimal Control KW - Response Strategies KW - Reaction Time KW - Price Cycles Y1 - 2017 SN - 978-989-758-218-9 U6 - https://doi.org/10.5220/0006118200470056 SP - 47 EP - 56 PB - SCITEPRESS - Science and Technology Publications, Lda. CY - Setúbal ER - TY - CHAP A1 - Bender, Benedict A1 - Grum, Marcus T1 - Entwicklung eines Architekturkonzepts zum flexiblen Einsatz von Analytics T2 - Proceedings INFORMATIK - Jahrestagung der Gesellschaft für Informatik e.V. ; Lecture Notes in Informatics (LNI) N2 - Die optimale Dimensionierung von IT-Hardware stellt Entscheider aufgrund der stetigen Weiterentwicklung zunehmend vor Herausforderungen. Dies gilt im Speziellen auch für Analytics-Infrastrukturen, die zunehmend auch neue Software zur Analyse von Daten einsetzen, welche in den Ressourcenanforderungen stark variieren. Damit eine flexible und gleichzeitig effiziente Gestaltung von Analytics-Infrastrukturen erreicht werden kann, wird ein dynamisch arbeitendes Architekturkonzept vorgeschlagen, das Aufgaben auf Basis einer systemspezifischen Entscheidungsmaxime mit Hilfe einer Eskalationsmatrix verteilt und hierfür Aufgabencharakteristiken sowie verfügbare Hardwareausstattungen entsprechend ihrer Auslastung berücksichtigt. KW - Analytics KW - Architekturkonzept KW - Cyber-Phsysische Systeme KW - Cloud KW - Internet of Things Y1 - 2016 UR - https://dl.gi.de/handle/20.500.12116/1189 IS - P259 SP - 815 EP - 824 PB - Gesellschaft für Informatik e.V. CY - Bonn ER -