@inproceedings{TeichmannUllrichKotarskietal.2021, author = {Teichmann, Malte and Ullrich, Andr{\´e} and Kotarski, David and Gronau, Norbert}, title = {Facing the demographic change}, series = {SSRN eLibrary / Social Science Research Network}, booktitle = {SSRN eLibrary / Social Science Research Network}, publisher = {Social Science Electronic Publ.}, address = {[Erscheinungsort nicht ermittelbar]}, issn = {1556-5068}, doi = {10.2139/ssrn.3858716}, pages = {6}, year = {2021}, abstract = {Digitization and demographic change are enormous challenges for companies. Learning factories as innovative learning places can help prepare older employees for the digital change but must be designed and configured based on their specific learning requirements. To date, however, there are no particular recommendations to ensure effective age-appropriate training of bluecollar workers in learning factories. Therefore, based on a literature review, design characteristics and attributes of learning factories and learning requirements of older employees are presented. Furthermore, didactical recommendations for realizing age-appropriate learning designs in learning factories and a conceptualized scenario are outlined by synthesizing the findings.}, language = {en} } @inproceedings{BenderThimLinke2019, author = {Bender, Benedict and Thim, Christof and Linke, Felix}, title = {Platform coring in the browser domain}, series = {Proceedings Information Systems - The Heart of Innovation Ecosystems (ICIS 2019)}, booktitle = {Proceedings Information Systems - The Heart of Innovation Ecosystems (ICIS 2019)}, isbn = {978-0-9966831-9-7}, year = {2019}, abstract = {Modern web browsers are digital software platforms, as they allow third-parties to extend functionality by providing extensions. Given the intense competition, differentiation through provided functionality is a key factor for browser platforms. As browsers progress, they constantly release new features. Browsers might thereby enter complementary markets if they add functionality formerly provided by third-party extensions, which is referred to as 'platform coring'. Previous studies missed the perspective of the involved parties. To address this gap, we conduct interviews with third-party and core developers in the security and privacy domain from Firefox and Chrome. In essence, the study provides three contributions. First, insights into stakeholder-specific issues concerning coring. Second, measures to prevent coring. Third, strategical guidance for developers and owners. Third-parties experienced and core developers acknowledged coring to occur on browser platforms. While developers with extrinsic motivations assess coring negatively, developers with intrinsic motivations perceive coring positively.}, language = {en} } @inproceedings{EigelshovenUllrichBender2020, author = {Eigelshoven, Felix and Ullrich, Andr{\´e} and Bender, Benedict}, title = {Public blockchain}, series = {Proceedings of the 28th European Conference on Information Systems (ECIS)- A Virtual AIS Conference}, booktitle = {Proceedings of the 28th European Conference on Information Systems (ECIS)- A Virtual AIS Conference}, pages = {1 -- 19}, year = {2020}, abstract = {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.}, language = {en} } @inproceedings{BenderSzadowiak2021, author = {Bender, Benedict and Szadowiak, Andrzej Marcin}, title = {Feature removal on software platforms}, series = {IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)}, booktitle = {IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)}, publisher = {IEEE}, address = {New York}, doi = {10.1109/ICE/ITMC52061.2021.9570245}, pages = {1 -- 9}, year = {2021}, abstract = {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.}, language = {en} } @inproceedings{BenderGrum2021, author = {Bender, Benedict and Grum, Marcus}, title = {Gamification and dynamisation of the continous improvement processes}, series = {International Conference on Electrical, Computer and Energy Technologies}, booktitle = {International Conference on Electrical, Computer and Energy Technologies}, publisher = {IEEE}, address = {New York}, doi = {10.1109/ICECET52533.2021.9698530}, pages = {1 -- 7}, year = {2021}, abstract = {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.}, language = {en} } @inproceedings{PanzerBenderGronau2021, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {Deep reinforcement learning in production planning and control}, series = {Proceedings of the Conference on Production Systems and Logistics}, booktitle = {Proceedings of the Conference on Production Systems and Logistics}, publisher = {Institutionelles Repositorium der Leibniz Universit{\"a}t Hannover}, address = {Hannover}, issn = {2701-6277}, doi = {10.15488/11238}, pages = {535 -- 545}, year = {2021}, abstract = {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.}, language = {en} } @inproceedings{GrumBenderAlfa2017, author = {Grum, Marcus and Bender, Benedict and Alfa, Attahiru S.}, title = {The construction of a common objective function for analytical infrastructures}, series = {2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)}, booktitle = {2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)}, publisher = {IEEE}, address = {New York}, doi = {10.1109/ICE.2017.8279892}, pages = {219 -- 225}, year = {2017}, abstract = {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.}, language = {en} } @inproceedings{ErmakovaFabianBenderetal.2018, author = {Ermakova, Tatiana and Fabian, Benjamin and Bender, Benedict and Klimek, Kerstin}, title = {Web Tracking}, series = {Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS 51)}, booktitle = {Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS 51)}, publisher = {HICSS Conference Office University of Hawaii at Manoa}, address = {Maile Way}, issn = {2572-6862}, doi = {10.24251/HICSS.2018.596}, pages = {4732 -- 4741}, year = {2018}, abstract = {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.}, language = {en} } @inproceedings{GronauGrumBender2016, author = {Gronau, Norbert and Grum, Marcus and Bender, Benedict}, title = {Determining the optimal level of autonomy in cyber-physical production systems}, series = {IEEE 14th International Conference on Industrial Informatics (INDIN)}, booktitle = {IEEE 14th International Conference on Industrial Informatics (INDIN)}, publisher = {IEEE}, address = {New York}, doi = {10.1109/INDIN.2016.7819367}, pages = {1293 -- 1299}, year = {2016}, abstract = {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.}, language = {en} } @inproceedings{BenderFabianHauptetal.2018, author = {Bender, Benedict and Fabian, Benjamin and Haupt, Johannes and Neumann, Tom}, title = {Track and Treat}, series = {Twenty-Sixth European Conference on Information Systems (ECIS 2018)}, booktitle = {Twenty-Sixth European Conference on Information Systems (ECIS 2018)}, pages = {14}, year = {2018}, abstract = {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.}, language = {en} }