Auflistung nach Autor:in "Gimpel, Henner"
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- ZeitschriftenartikelA Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment(Business & Information Systems Engineering: Vol. 63, No. 4, 2021) Afflerbach, Patrick; Dun, Christopher; Gimpel, Henner; Parak, Dominik; Seyfried, JohannesResearch has shown that aggregation of independent expert judgments significantly improves the quality of forecasts as compared to individual expert forecasts. This “wisdom of crowds?? (WOC) has sparked substantial interest. However, previous studies on strengths and weaknesses of aggregation algorithms have been restricted by limited empirical data and analytical complexity. Based on a comprehensive analysis of existing knowledge on WOC and aggregation algorithms, this paper describes the design and implementation of a static stochastic simulation model to emulate WOC scenarios with a wide range of parameters. The model has been thoroughly evaluated: the assumptions are validated against propositions derived from literature, and the model has a computational representation. The applicability of the model is demonstrated by investigating aggregation algorithm behavior on a detailed level, by assessing aggregation algorithm performance, and by exploring previously undiscovered suppositions on WOC. The simulation model helps expand the understanding of WOC, where previous research was restricted. Additionally, it gives directions for developing aggregation algorithms and contributes to a general understanding of the WOC phenomenon.
- ZeitschriftenartikelAI-Based Digital Assistants(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Maedche, Alexander; Legner, Christine; Benlian, Alexander; Berger, Benedikt; Gimpel, Henner; Hess, Thomas; Hinz, Oliver; Morana, Stefan; Söllner, Matthias
- ZeitschriftenartikelAnthropomorphic Information Systems(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Pfeuffer, Nicolas; Benlian, Alexander; Gimpel, Henner; Hinz, Oliver
- ZeitschriftenartikelAuf dem Weg zum vertrauensvollen, unternehmensübergreifenden automatisierten Datenaustausch von Maschinen – Identifikation von schützenswertem Wissen im Zeitalter von Industrie 4.0(HMD Praxis der Wirtschaftsinformatik: Vol. 58, No. 6, 2021) Adler, Leon; Frank, Andreas; Gimpel, Henner; Heger, Sebastian; Nüske, Niclas; Starke, Joachim; Waldmann, Daniela; Wöhl, MoritzDer unternehmensübergreifende Datenaustausch in der Welt von Industrie 4.0 birgt für Unternehmen immense Potenziale. So können Unternehmen wertvolles Wissen über den Einsatz ihrer Produkte gewinnen und ihren Kunden innovative Dienstleistungen anbieten. Umgekehrt können Kunden die Produkte zielgerichteter einsetzen, wenn sie beispielsweise Produktions- und Materialdetails kennen. Doch dabei möchte kein Unternehmen für sich geschäftskritisches Wissen an einen Partner im Wertschöpfungsnetzwerk freigeben. Zu groß ist das Risiko, Einblicke in beispielsweise Forschungs- und Entwicklungsergebnisse zu gewähren oder dem Kunden eine Kostenkalkulation aufgrund des genauen Prozessablaufes zu ermöglichen. Es ergibt sich die Frage, welche Daten bedenkenlos ausgetauscht werden können und in welchen Daten implizit wertvolles Wissen enthalten ist. Aus diesem Grund stellt der vorliegende Beitrag ein Vorgehensmodell zur Identifikation von schützenswertem Wissen vor dem Hintergrund des unternehmensübergreifenden automatisierten Datenaustauschs von Maschinen über Netzwerkplattformen vor. Mit Hilfe des Modells lassen sich Daten und Wissen analysieren und auf Basis der Schutzbedarfe und enthaltenen Potenziale einstufen. Ein möglichst umfangreicher unternehmensübergreifender Datenaustausch bei möglichst geringem Verlust von Know-how soll ermöglicht werden. Anschließend wird die Erprobung des Modells im Rahmen eines Anwendungsbeispiels vorgestellt und ein Ausblick gegeben. Cross-company data exchange in the world of industry 4.0 holds immense potential for companies. Companies can gain valuable knowledge about the use of their products and offer their customers innovative services. Conversely, customers can use their products in a more targeted way if they know production and material details, for example. But no company wants to share business-critical knowledge with a partner in the value creation network. The risk of providing insights into, for example, research and development results or enabling the customer to calculate costs based on the exact process flow is too great. The question arises as to which data can be exchanged without hesitation and which data implicitly contain valuable knowledge. For this reason, this article presents a process model for identifying knowledge worth protecting against the background of cross-company data networking. With the help of the model, data and knowledge can be analyzed and classified on the basis of protection requirements and contained potentials. The aim is to enable cross-company data exchange while preventing the violation of know-how. Subsequently, the testing of the model is presented in the context of an application example and an outlook is given.
- ZeitschriftenartikelDesign Blueprint for Stress-Sensitive Adaptive Enterprise Systems(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Adam, Marc T. P.; Gimpel, Henner; Maedche, Alexander; Riedl, RenéStress is a major problem in the human society, impairing the well-being, health, performance, and productivity of many people worldwide. Most notably, people increasingly experience stress during human-computer interactions because of the ubiquity of and permanent connection to information and communication technologies. This phenomenon is referred to as technostress. Enterprise systems, designed to improve the productivity of organizations, frequently contribute to this technostress and thereby counteract their objective. Based on theoretical foundations and input from exploratory interviews and focus group discussions, the paper presents a design blueprint for stress-sensitive adaptive enterprise systems (SSAESes). A major characteristic of SSAESes is that bio-signals (e.g., heart rate or skin conductance) are integrated as real-time stress measures, with the goal that systems automatically adapt to the users’ stress levels, thereby improving human-computer interactions. Various design interventions on the individual, technological, and organizational levels promise to directly affect stressors or moderate the impact of stressors on important negative effects (e.g., health or performance). However, designing and deploying SSAESes pose significant challenges with respect to technical feasibility, social and ethical acceptability, as well as adoption and use. Considering these challenges, the paper proposes a 4-stage step-by-step implementation approach. With this Research Note on technostress in organizations, the authors seek to stimulate the discussion about a timely and important phenomenon, particularly from a design science research perspective.
- ZeitschriftenartikelDisruptive Technologien — Blockchain, Deep Learning & Co.(Wirtschaftsinformatik & Management: Vol. 9, No. 5, 2017) Gimpel, Henner; Röglinger, Maximilian
- ZeitschriftenartikelDer Einfluss von digitalen Technologien auf Wissensarbeit: Kompetenzen im Wandel(HMD Praxis der Wirtschaftsinformatik: Vol. 61, No. 1, 2024) Lanzl, Julia; Schnaak, Feline; Schöttl, Frederik; Gimpel, HennerDie voranschreitende Digitalisierung und der technologische Fortschritt haben in der Arbeitswelt Auswirkungen auf die Ausbildung von Fachkräften und insbesondere auf die geforderten Kompetenzen für einen langfristigen Unternehmenserfolg. Neben klassischen Basiskompetenzen, wie beispielsweise kritischem Denken, treten Digitalkompetenzen wie beispielswiese die Verarbeitung von Informationen zunehmend in den Vordergrund. Deshalb bestehen die Fragen: Was sind durch die fortschreitende Digitalisierung relevante Digitalkompetenzen in der Wissensarbeit? Wie präsentieren und vermitteln Unternehmen und Hochschulen diese Digitalkompetenzen und welche Handlungsempfehlungen lassen sich diesbezüglich ableiten? Durch eine Literaturrecherche in praxisnaher und wissenschaftlicher Literatur wurden Digitalkompetenzen gesammelt, definiert und klassifiziert. Zwölf wichtige Digitalkompetenzen werden herausgestellt und es wird beobachtet, ob und wie sie in der Praxis bereits in betriebswirtschaftlichen Studiengängen, unternehmensinternen sowie -externen Off-the-job-Weiterbildungen und im Recruiting Beachtung finden. Dies ermöglicht das Ableiten von Handlungsempfehlungen für Hochschulen und Unternehmen, sowie deren Zusammenarbeit. Zusätzlich verhelfen die Ergebnisse Weiterbildungen entsprechend an die neuen Gegebenheiten anzupassen und die Wichtigkeit der Digitalkompetenzen für den Berufseinstieg und die berufliche Laufbahn zu verdeutlichen. Advancing digitalization and technological progress within the world of work are having an impact on the training of skilled workers and, in particular, on the competencies required for long-term corporate success. In addition to classic basic competencies, such as critical thinking, digital competencies, such as information handling, are coming to the fore. Therefore, the questions arise: What are relevant digital competencies in knowledge work as a result of ongoing digitization? How do companies and universities present and teach these digital competencies and which recommendations for action can be derived in this regard? Digital competencies were collected, defined, and classified through a literature review of practical and scientific literature. Twelve important digital competencies are highlighted and it is observed whether and how they are already being taken into account in practice in business degree programs, internal and external off-the-job company training, and recruiting. This makes it possible to derive recommendations for action for universities and companies, as well as their cooperation. In addition, the results help to adapt further education to the new conditions and to emphasize the importance of the competencies for career entry and career development.
- ZeitschriftenartikelFintech-Geschäftsmodelle im Visier(Wirtschaftsinformatik & Management: Vol. 8, No. 3, 2016) Gimpel, Henner; Rau, Daniel; Röglinger, Maximilian
- ZeitschriftenartikelHow (not) to Incent Crowd Workers(Business & Information Systems Engineering: Vol. 57, No. 3, 2015) Straub, Tim; Gimpel, Henner; Teschner, Florian; Weinhardt, ChristofCrowdsourcing gains momentum: In digital work places such as Amazon Mechanical Turk, oDesk, Clickworker, 99designs, or InnoCentive it is easy to distribute human work to hundreds or thousands of freelancers. In these crowdsourcing settings, one challenge is to properly incent worker effort to create value. Common incentive schemes are piece rate payments and rank-order tournaments among workers. Tournaments might or might not disclose a worker’s current competitive position via a leaderboard. Following an exploratory approach, we derive a model on worker performance in rank-order tournaments and present a series of real effort studies using experimental techniques on an online labor market to test the model and to compare dyadic tournaments to piece rate payments. Data suggests that on average dyadic tournaments do not improve performance compared to a simple piece rate for simple and short crowdsourcing tasks. Furthermore, giving feedback on the competitive position in such tournaments tends to be negatively related to workers’ performance. This relation is partially mediated by task completion and moderated by the provision of feedback: When playing against strong competitors, feedback is associated with workers quitting the task altogether and, thus, showing lower performance. When the competitors are weak, workers tend to complete the task but with reduced effort. Overall, individual piece rate payments are most simple to communicate and implement while incenting performance is on par with more complex dyadic tournaments.
- ZeitschriftenartikelInterview with Thomas W. Malone on “Collective Intelligence, Climate Change, and the Future of Work”(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Gimpel, Henner