TY - JOUR A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Students’ acceptance of technology-mediated teaching – How it was influenced during the COVID-19 Pandemic in 2020 BT - A study from Germany JF - Frontiers in psychology / Frontiers Research Foundation N2 - In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring–summer 2020 semester. Our study focused on (1) the students’ acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study’s results and derive short- and long-term implications for science and practice. KW - COVID-19 KW - digital learning KW - discipline differences KW - e-learning KW - TAM KW - technology acceptance KW - technology-mediated teaching KW - university teaching Y1 - 2020 U6 - https://doi.org/10.3389/fpsyg.2021.636086 SN - 1664-1078 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict T1 - Chancen und Grenzen digitaler Lehre an Hochschulen aus Studierendenperspektive BT - Empirische Befunde und Gestaltungshinweise JF - HMD : Praxis der Wirtschaftsinformatik N2 - The design of qualitative, excellent teaching requires collaboration between teachers and learners. For this purpose, face-to-face teaching benefits from a long-standing tradition, while digital teaching is comparatively still at the beginning of its dissemination. A major developmental step toward the digitization of teaching was achieved in the context of university teaching during the Covid 19 pandemic in spring 2020, when face-to-face teaching was interrupted for months. During this time, important insights into the opportunities and limitations of digital teaching were gained. This paper presents selected results of a study conducted at four German universities and with 875 responses in spring 2020. The study uncovers opportunities and limitations of digital teaching from the students’ perspective and against the background of their experience in the completely digital semester. The results are used as a basis for deriving design guidelines for digital teaching and learning offerings. Based on a model for analyzing the design of teaching and learning formats, these indications are structured according to the elements learners, teachers, teaching content, environment and teaching style. Y1 - 2021 U6 - https://doi.org/https://doi.org/10.1365/s40702-021-00796-y SN - 2198-2775 SN - 1436-3011 VL - 58 SP - 1313 EP - 1326 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Panzer, Marcel A1 - Bender, Benedict T1 - Deep reinforcement learning in production systems BT - a systematic literature review JF - International Journal of Production Research N2 - Shortening product development cycles and fully customizable products pose major challenges for production systems. These not only have to cope with an increased product diversity but also enable high throughputs and provide a high adaptability and robustness to process variations and unforeseen incidents. To overcome these challenges, deep Reinforcement Learning (RL) has been increasingly applied for the optimization of production systems. Unlike other machine learning methods, deep RL operates on recently collected sensor-data in direct interaction with its environment and enables real-time responses to system changes. Although deep RL is already being deployed in production systems, a systematic review of the results has not yet been established. The main contribution of this paper is to provide researchers and practitioners an overview of applications and to motivate further implementations and research of deep RL supported production systems. Findings reveal that deep RL is applied in a variety of production domains, contributing to data-driven and flexible processes. In most applications, conventional methods were outperformed and implementation efforts or dependence on human experience were reduced. Nevertheless, future research must focus more on transferring the findings to real-world systems to analyze safety aspects and demonstrate reliability under prevailing conditions. KW - Machine learning KW - reinforcement learning KW - production control KW - production planning KW - manufacturing processes KW - systematic literature review Y1 - 2021 U6 - https://doi.org/10.1080/00207543.2021.1973138 SN - 1366-588X SN - 0020-7543 VL - 13 IS - 60 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Haupt, Johannes A1 - Bender, Benedict A1 - Fabian, Benjamin A1 - Lessmann, Stefan T1 - Robust identification of email tracking BT - a machine learning approach JF - European Journal of Operational Research N2 - Email tracking allows email senders to collect fine-grained behavior and location data on email recipients, who are uniquely identifiable via their email address. Such tracking invades user privacy in that email tracking techniques gather data without user consent or awareness. Striving to increase privacy in email communication, this paper develops a detection engine to be the core of a selective tracking blocking mechanism in the form of three contributions. First, a large collection of email newsletters is analyzed to show the wide usage of tracking over different countries, industries and time. Second, we propose a set of features geared towards the identification of tracking images under real-world conditions. Novel features are devised to be computationally feasible and efficient, generalizable and resilient towards changes in tracking infrastructure. Third, we test the predictive power of these features in a benchmarking experiment using a selection of state-of-the-art classifiers to clarify the effectiveness of model-based tracking identification. We evaluate the expected accuracy of the approach on out-of-sample data, over increasing periods of time, and when faced with unknown senders. (C) 2018 Elsevier B.V. All rights reserved. KW - Analytics KW - Data privacy KW - Email tracking KW - Machine learning Y1 - 2018 U6 - https://doi.org/10.1016/j.ejor.2018.05.018 SN - 0377-2217 SN - 1872-6860 VL - 271 IS - 1 SP - 341 EP - 356 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Haase, Jennifer A1 - Vladova, Gergana A1 - Bender, Benedict T1 - Dating on a different stage, but with the same habits BT - an analysis of offline vs. online dating behavior JF - PsyArXiv N2 - This study aims to compare online vs. offline flirting and dating behavior using the example of the location-based real-time dating (LBRTD) app Tinder, a popular dating platform. We focus on persons' self-descriptions like self-esteem, social desirability, state social anxiety, and adjustment behavior on Tinder and the perceived data privacy of the app. Data was gathered using a survey approach with Tinder users reporting their behavior in offline and online settings. The comparison between offline and online behavior was made using Response Surface Analysis. The results suggest that the different conditions of the natural and digital worlds do not influence the individual's behavior and emotional perception. The results are analyzed and discuss gender, age, motivation to use the app, and the user's relationship status. KW - Online behavior KW - Online Dating KW - Data Privacy KW - Self-esteem KW - Tinder Y1 - 2022 U6 - https://doi.org/10.31234/osf.io/kj68b IS - 245 ER - TY - JOUR A1 - Grum, Marcus A1 - Bender, Benedict A1 - Alfa, A. S. A1 - Gronau, Norbert T1 - A decision maxim for efficient task realization within analytical network infrastructures JF - Decision support systems : DSS ; the international journal N2 - Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation. KW - Analytics KW - Architecture concepts KW - Cyber-physical systems KW - Internet of things KW - Task realization strategies KW - Simulation Y1 - 2018 U6 - https://doi.org/10.1016/j.dss.2018.06.005 SN - 0167-9236 SN - 1873-5797 VL - 112 SP - 48 EP - 59 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Gronau, Norbert A1 - Ulrich, Andre A1 - Bender, Benedict T1 - Hybride Lernfabrik im Anwendungszentrum Industrie 4.0 JF - Industrial Internet of Things in der Arbeits- und Betriebsorganisation Y1 - 2017 SN - 978-3-95545-225-4 SP - 1 EP - 23 PB - Gito CY - Berlin ER - TY - JOUR A1 - Gronau, Norbert A1 - Bender, Benedict A1 - Bertheau, Clementine A1 - Lauppe, Hannah T1 - Robotic Process Automation statt neuem ERP-System T1 - Robotic Process Automation instead of new ERP systems BT - das steckt hinter dem Hype BT - what’s behind the hype JF - ERP-Management : Auswahl, Einführung und Betrieb von ERP-Systemen N2 - Robotic Process Automation (RPA) steht für die softwareunterstützte Bedienung von Softwarelösungen über deren Benutzeroberfläche. Das primäre Ziel, das mit RPA erreicht werden soll, ist die automatisierte Ausführung von Routineaufgaben, die bisher einen menschlichen Eingriff erforderten. Das Potenzial von RPA, Prozesse langfristig zu verbessern, ist allerdings stark begrenzt. Die Automatisierung von Prozessen und die Überbrückung von Medienbrüchen auf der Front-End-Ebene führt zu einer Vielzahl von Abhängigkeiten und Bedingungen, die in diesem Beitrag zusammengefasst werden. Der Weg zu einer nachhaltigen Unternehmensarchitektur (bestehend aus Prozessen und Systemen) erfordert offene, adaptive Systeme mit moderner Architektur, die sich durch ein hohes Maß an Interoperabilität auf verschiedenen Ebenen auszeichnen. N2 - Robotic Process Automation (RPA) stands for the software-sup-ported operation of software solutions via their user interface. The primary goal to be achieved by RPA is the automated execution of tasks that previously required human intervention. The potential of RPA to improve process improvements in the long term must be considered greatly limited. Automating processes and bridging media gaps at the front-end level results in a multitude of dependencies and conditions which this paper summarizes. The path to a sustainable enterprise architecture (consisting of processes and systems) requires open, adaptive systems with modern architecture, which are characterized by a high level of interoperability at different levels. KW - ERP KW - Robotic Process Automation KW - RPA KW - Prozessintegration KW - Automatisierung KW - process integration KW - automation Y1 - 2021 UR - https://www.wiso-net.de/document/ERP__c8c3f3e4b15758c79ca036e7003be81d0a8b3864 U6 - https://doi.org/10.30844/ERP_21-1_29-32 SN - 1860-6725 VL - 17 IS - 1 SP - 29 EP - 32 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Fabian, Benjamin A1 - Bender, Benedict A1 - Hesseldieck, Ben A1 - Haupt, Johannes A1 - Lessmann, Stefan T1 - Enterprise-grade protection against e-mail tracking JF - Information Systems N2 - E-mail tracking provides companies with fine-grained behavioral data about e-mail recipients, which can be a threat for individual privacy and enterprise security. This problem is especially severe since e-mail tracking techniques often gather data without the informed consent of the recipients. So far e-mail recipients lack a reliable protection mechanism. This article presents a novel protection framework against e-mail tracking that closes an impor- tant gap in the field of enterprise security and privacy-enhancing technologies. We conceptualize, implement and evaluate an anti-tracking mail server that is capable of identifying tracking images in e-mails via machine learning with very high accuracy, and can selectively replace them with arbitrary images containing warning messages for the recipient. Our mail protection framework implements a selective prevention strategy as enterprise-grade software using the design science research paradigm. It is flexibly extensible, highly scalable, and ready to be applied under actual production conditions. Experimental evaluations show that these goals are achieved through solid software design, adoption of recent technologies and the creation of novel flexible software components. KW - E-Mail Tracking KW - Enterprise-grade KW - Anti-Tracking Infrastructure KW - Software Prototype Y1 - 2020 U6 - https://doi.org/10.1016/j.is.2020.101702 SN - 0306-4379 IS - 97 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Bender, Benedict A1 - Teichmann, Malte A1 - Ullrich, Andre T1 - Mobile IIoT-Technologien als Erfolgsfaktor für Fertigung und Lernszenarien JF - Industrial Internet of Things in der Arbeits- und Betriebsorganisation Y1 - 2017 SN - 978-3-95545-225-4 SP - 235 EP - 257 PB - Gito CY - Berlin ER - TY - JOUR A1 - Bender, Benedict A1 - Lewandowski, Stefanie T1 - Potenziale plattformbasierter Geschäftsmodelle im Kunststoffspritzguss T1 - Potential of platform-based business models in the plastics industry JF - Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse N2 - Die Potenziale plattformbasierter Geschäftsmodelle im Kontext von Industrie 4.0 sind bisher nicht vollständig erschlossen. Ansatzpunkte für Plattformen und ökosystembasierte Wertschöpfung variieren zwischen Industrien. Die Kunststoffindustrie ist dahingehend bisher weitestgehend unberücksichtigt. Aufgrund der Industriestruktur, insb. der einheitlichen Wertschöpfungsstrukturen eignet sich die Kunststoffindustrie für den Einsatz digitaler Plattformen. Neben Ansätzen für Plattformen in der Spritzgussindustrie bietet der Beitrag ein Vorgehensmodell für die Erweiterung etablierte Geschäftsmodelle. Somit kann der Einstieg in plattformbasierte Geschäftsmodelle für KMUs erleichtert werden. N2 - The potential of platform-based business models in the context of Industry 4.0 has not yet been fully realized. Approaches for platforms and ecosystem-based value creation vary between industries. The plastics industry has so far been widely ignored in this respect. Due to its industrial structure, in particular the uniform value creation structures, the plastics industry is suitable for digital platforms. In addition to approaches for platforms in the injection molding industry, the article offers a procedure model for the expansion of established business models. This can facilitate the entry into the field of platform-based business models for SMEs. KW - Digitale Plattformen KW - plattformbasierte Geschäftsmodelle KW - Kunststoffindustrie KW - Plattform Ökosystem KW - Potenziale KW - Industrie 4.0 KW - digital platforms KW - platform-based business models KW - plastics industry KW - platform ecosystem KW - potentials KW - Industry 4.0 Y1 - 2022 U6 - https://doi.org/10.30844/IM_22-6_14-18 SN - 2364-9208 VL - 38 IS - 6 SP - 14 EP - 18 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Bender, Benedict A1 - Körppen, Tim T1 - Integriert statt isoliert BT - Technologien für die erfolgreiche Umsetzung von datengetriebenem Management JF - Digital business : cloud N2 - Dass Daten und Analysen Innovationstreiber sind und nicht mehr nur einen Hygienefaktor darstellen, haben viele Unternehmen erkannt. Um Potenziale zu heben, müssen Daten zielführend integriert werden. Komplexe Systemlandschaften und isolierte Datenbestände erschweren dies. Technologien für die erfolgreiche Umsetzung von datengetriebenem Management müssen richtig eingesetzt werden. N2 - The fact that data and analyses are innovation drivers and no longer just represent a hygiene factor is nowadays understood by many companies. An important step for the development of this hidden potential is the target-oriented utilization of the existing data stocks in one's own company. In doing so, many companies face the hurdle of complex system landscapes and isolated data stocks. This article provides an overview of solutions for analysis-oriented data integration and helps decision-makers to select a suitable technology for their own company. KW - data analytics KW - data requirements KW - software selection Y1 - 2022 UR - https://www.wiso-net.de/document/DBC__584ddfcbfbc5ff400cb2ffb0f31eba6e6903fb3d SN - 2510-344X VL - 26 IS - 1 SP - 26 EP - 27 PB - WIN-Verlag GmbH & Co. KG CY - Vaterstetten ER - TY - JOUR A1 - Bender, Benedict A1 - Körppen, Tim T1 - Data Warehouse, Data Lake oder Data Platform BT - eine Übersicht analyseorientierter Datenhaltungslösungen JF - ERP-Management : Auswahl, Einführung und Betrieb von ERP-Systemen N2 - Die Digitalisierung des deutschen Mittelstandes schreitet weiterhin schleppend voran. So verfügt zwar ein wachsender Teil dieser Unternehmen über vereinzelte Informations- und Kommunikationssysteme, die zielführende Vernetzung und Integration dieser Systeme stellt jedoch weiterhin eine große Aufgabe dar [1]. Besonders vor dem Hintergrund wachsender Bedürfnisse für Informationen und Transparenz sehen sich Unternehmen zunehmend mit der analyseorientierten Nutzbarmachung der Unternehmensdaten konfrontiert [2]. Y1 - 2021 UR - https://www.wiso-net.de/document/ERP__ffa066cd51fc1133cb63f47337a74ecee09b97a2 SN - 1860-6725 VL - 17 IS - 6 SP - 34 EP - 37 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Bender, Benedict A1 - Korjahn, Nicolas A1 - Gronau, Norbert T1 - Erfolgreich auf Handelsplattformen BT - Einblicke in die Marktstudie Handelsplattformen 2023/2024 JF - ERP-Management : Auswahl, Einführung und Betrieb von ERP-Systemen N2 - Obwohl Handelsplattformen zunehmend an Bedeutung gewinnen, besteht im deutschsprachigen Raum ein Mangel an umfassenden Marktübersichten. Dadurch fehlt es Verkäufern, potenziellen Plattformbetreibern und Kunden an einer soliden Grundlage für fundierte Entscheidungen. Das ändern wir mit folgendem Beitrag. Erfahren Sie hier das Wichtigste über den rasant wachsenden Markt der Handelsplattformen. Y1 - 2024 UR - https://www.wiso-net.de/document/ERP__714baef53e6bcc9690fd3c7c72605cc171f35f62 UR - https://erp-management.de/artikel/erfolgreich-auf-handelsplattformen/ SN - 1860-6725 VL - 20 IS - 1 SP - 76 EP - 82 PB - GITO mbH - Verlag für Industrielle Informationstechnik und Organisation CY - Berlin ER - TY - JOUR A1 - Bender, Benedict A1 - Heine, Moreen T1 - Government as a Platform? BT - the power of platforms to support personalization of public services JF - Journal of Data Intelligence N2 - Digital platforms, by their design, allow the coordination of multiple entities to achieve a common goal. In the public sector, different understandings of the platform concept prevail. To guide the development and further re-search a coherent understanding is required. To address this gap, we identify the constitutive elements of platforms in the public sector. Moreover, their potential to coordinate partially autonomous entities as typical for federal organized states is highlighted. This study contributes through a uniform understanding of public service platforms by providing a framework with constitutive elements, that may guide future analysis. Apart from chance regarding coordination, platforms are well suited to support contextual eGovernment targets. Among them is service personalization. Highly individualized service offerings support targets such as No Stop government. To this end, the paper extends the framework for service personalization in the public sector and exemplifies related aspects using a reference case. KW - Public service platforms KW - Digital platforms KW - Government as a platform KW - Public sector KW - Platform economy KW - Federal states Y1 - 2022 U6 - https://doi.org/10.26421/JDI3.1-5 SN - 2577-610X VL - 3 IS - 1 SP - 169 EP - 187 PB - Rinton Press CY - New Jersey ER - TY - JOUR A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Coring on digital software platforms BT - Fundamentals and Examples from the Mobile Device Sector JF - Schriften zur Business Analytics und zum Informationsmanagement N2 - Today’s mobile devices are part of powerful business ecosystems, which usually involve digital platforms. To better understand the complex phenomenon of coring and related dynamics, this paper presents a case study comparing iMessage as part of Apple’s iOS and WhatsApp. Specifically, it investigates activities regarding platform coring, as the integration of several functionalities provided by third-party applications in the platform core. The paper makes three contributions. First, a systematization of coring activities is developed. Coring modes are differentiated by the amount of coring and application maintenance. Second, the case study revealed that the phenomenon of platform coring is present on digital platforms for mobile devices. Third, the fundamentals of coring are discussed as a first step towards theoretical development. Even though coring constitutes a potential threat for third-party developers regarding their functional differentiation, an idea of what a beneficial partnership incorporating coring activities could look like is developed here. KW - coring KW - digital platforms KW - digital marketplaces KW - mobile software ecosystems Y1 - 2021 SN - 978-3-658-34798-7 SN - 978-3-658-34799-4 U6 - https://doi.org/10.1007/978-3-658-34799-4_4 SN - 2946-0670 SN - 2946-0662 SP - 45 EP - 77 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Bender, Benedict A1 - Bertheau, Clementine A1 - Körppen, Tim A1 - Lauppe, Hannah A1 - Gronau, Norbert T1 - A proposal for future data organization in enterprise systems BT - an analysis of established database approaches JF - Information systems and e-business management N2 - The digital transformation sets new requirements to all classes of enterprise systems in companies. ERP systems in particular, which represent the dominant class of enterprise systems, are struggling to meet the new requirements at all levels of the architecture. Therefore, there is an urgent need to reconsider the overall architecture of the systems and address the root of the related issues. Given that many restrictions ERP pose on their adaptability are related to the standardization of data, the database layer of ERP systems is addressed. Since database serve as the foundation for data storage and retrieval, they limit the flexibility of enterprise systems and the chance to adapt to new requirements accordingly. So far, relational databases are widely used. Using a systematic literature approach, recent requirements for ERP systems were identified. Prominent database approaches were assessed against the 23 requirements identified. The results reveal the strengths and weaknesses of recent database approaches. To this end, the results highlight the demand to combine multiple database approaches to fulfill recent business requirements. From a conceptual point of view, this paper supports the idea of federated databases which are interoperable to fulfill future requirements and support business operation. This research forms the basis for renewal of the current generation of ERP systems and proposes to ERP vendors to use different database concepts in the future. KW - database KW - enterprise system KW - ERP system KW - requirements KW - problems KW - future Y1 - 2022 U6 - https://doi.org/10.1007/s10257-022-00555-6 SN - 1617-9846 SN - 1617-9854 VL - 20 SP - 441 EP - 494 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Bender, Benedict T1 - The impact of integration on application success and customer satisfaction in mobile device platforms JF - Business & information systems engineering : the international journal of Wirtschaftsinformatik N2 - Digital software platforms allow third parties to develop applications and thus extend their functionality. Platform owners provide platform boundary resources that allow for application development. For developers, platform integration, understood as the employment of platform resources, helps to realize application functionality effectively. Simultaneously, it requires integration effort and increases dependencies. Developers are interested to know whether integration contributes to success in hypercompetitive platform settings. While aspects of platform participation have been studied, research on a comprehensive notion of integration and related implications are missing. By proposing a platform integration model, this study supports a better understanding of integration. Concerning dynamics related to integration, effects were tested using information from over 82,000 Apple AppStore applications. Regression model analysis reveals that application success and customer satisfaction is positively influenced by platform integration. To achieve superior results, developers should address multiple aspects of integration, such as devices, data, the operating system, the marketplace as well as other applications, and provide updates. Finally, the study highlights the importance for all platform participants and their possibilities to employ integration as a strategic instrument. KW - Integration KW - Digital platforms KW - Boundary resources KW - Application success KW - Customer satisfaction KW - Mobile device platforms Y1 - 2020 U6 - https://doi.org/10.1007/s12599-020-00629-0 SN - 2363-7005 SN - 1867-0202 VL - 62 IS - 6 SP - 515 EP - 533 PB - Springer Fachmedien Wiesbaden GmbH CY - Wiesbaden ER - TY - JOUR A1 - Bender, Benedict T1 - Internet of things BT - eine Einführung JF - Industrial Internet of Things - Grundlagen. Band 1 Y1 - 2018 SN - 978-3-95545-247-6 SP - 1 EP - 38 PB - Gito CY - Berlin ER - TY - JOUR A1 - Bender, Benedict T1 - Sensorik im Produktionskontext JF - Industrial Internet of Things - Grundlagen. Band 1 Y1 - 2018 SN - 978-3-95545-247-6 SP - 123 EP - 163 PB - Gito CY - Berlin ER -