TY - CONF
AU - Berendes, Carsten Ingo
AU - zur Heiden, Philipp
AU - Niemann, Marco
AU - Hoffmeister, Benedikt
AU - Becker, Jörg
ID - 17087
T2 - Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)
TI - Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations
ER -
TY - JOUR
AU - Beverungen, Daniel
AU - Buijs, Joos C. A. M.
AU - Becker, Jörg
AU - Di Ciccio, Claudio
AU - van der Aalst, Wil M. P.
AU - Bartelheimer, Christian
AU - vom Brocke, Jan
AU - Comuzzi, Marco
AU - Kraume, Karsten
AU - Leopold, Henrik
AU - Matzner, Martin
AU - Mendling, Jan
AU - Ogonek, Nadine
AU - Post, Till
AU - Resinas, Manuel
AU - Revoredo, Kate
AU - del-Río-Ortega, Adela
AU - La Rosa, Marcello
AU - Santoro, Flávia Maria
AU - Solti, Andreas
AU - Song, Minseok
AU - Stein, Armin
AU - Stierle, Matthias
AU - Wolf, Verena
ID - 17156
JF - Business & Information Systems Engineering
SN - 2363-7005
TI - Seven Paradoxes of Business Process Management in a Hyper-Connected World
ER -
TY - CONF
AB - To decide in which part of town to open stores, high street retailers consult statistical data on customers and cities, but they cannot analyze their customers’ shopping behavior and geospatial features of a city due to missing data. While previous research has proposed recommendation systems and decision aids that address this type of decision problem – including factory location and assortment planning – there currently is no design knowledge available to prescribe the design of city center area recommendation systems (CCARS). We set out to design a software prototype considering local customers’ shopping interests and geospatial data on their shopping trips for retail site selection. With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens.
AU - zur Heiden, Philipp
AU - Berendes, Carsten Ingo
AU - Beverungen, Daniel
ID - 16285
KW - Town Center Management
KW - High Street Retail
KW - Recommender Systems
KW - Geospatial Recommendations
KW - Design Science Research
T2 - Proceedings of the 15th International Conference on Wirtschaftsinformatik
TI - Designing City Center Area Recommendation Systems
ER -
TY - JOUR
AB - The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.
AU - Hoffmann, Martin W.
AU - Wildermuth, Stephan
AU - Gitzel, Ralf
AU - Boyaci, Aydin
AU - Gebhardt, Jörg
AU - Kaul, Holger
AU - Amihai, Ido
AU - Forg, Bodo
AU - Suriyah, Michael
AU - Leibfried, Thomas
AU - Stich, Volker
AU - Hicking, Jan
AU - Bremer, Martin
AU - Kaminski, Lars
AU - Beverungen, Daniel
AU - zur Heiden, Philipp
AU - Tornede, Tanja
ID - 35723
IS - 7
JF - Sensors
KW - Electrical and Electronic Engineering
KW - Biochemistry
KW - Instrumentation
KW - Atomic and Molecular Physics
KW - and Optics
KW - Analytical Chemistry
SN - 1424-8220
TI - Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions
VL - 20
ER -
TY - CONF
AU - Wolf, Verena
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
ID - 4517
T2 - Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52)
TI - Digitalization of Work Systems—An Organizational Routines’ Perspective
ER -
TY - CONF
AU - Betzing, Jan H.
AU - Bartelheimer, Christian
AU - Niemann, Marco
AU - Berendes, Carsten Ingo
AU - Beverungen, Daniel
ID - 9617
T2 - Proceedings of the 27th European Conference on Information Systems (ECIS)
TI - Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail
ER -
TY - CONF
AB - Increased interconnectedness of multiple actors and digital resources in service eco-systems offer new opportunities for service innovation. In digitally transforming eco-systems, organizations need to explore and exploit innovation simultaneously, which is defined as ambidexterity. However, research on ambidextrous service innovation is scarce. We provide a systematic literature review based on the concepts of ambidexterity, offering two contributions. First, research strands are disconnected, emphasizing either exploration or exploitation of service innovation, despite an organizations’ need to accelerate innovation cycles of exploring and exploiting services. Second, a new framework for ambidextrous service innovation is provided, inspired by the dynamism and generative mechanisms of the ontologically related concept of organizational routines. The framework adopts the perspective of a mutually constitutive relationship between exploring new and exploiting current resources, activities, and knowledge. The findings remedy the scattered literature through a coherent perspective on service innovation that responds to organizations’ needs and guides future research.
AU - Wolf, Verena
ID - 9708
KW - Exploration
KW - Exploitation
KW - Service Innovation
KW - Organizational Routines
KW - Ambidexterity
T2 - Proceedings of the 14th International Conference on Wirtschaftsinformatik
TI - Ambidexterity in Service Innovation Research: A Systematic Literature Review
ER -
TY - JOUR
AU - Bräuer, Sebastian
AU - Plenter, Florian
AU - Klör, Benjamin
AU - Monhof, Markus
AU - Beverungen, Daniel
AU - Becker, Jörg
ID - 12929
JF - Business Research
SN - 2198-3402
TI - Transactions for trading used electric vehicle batteries: theoretical underpinning and information systems design principles
ER -
TY - JOUR
AU - Beverungen, Daniel
AU - Breidbach, Christoph F.
AU - Poeppelbuss, Jens
AU - Tuunainen, Virpi Kristiina
ID - 14023
JF - Information Systems Journal
SN - 1350-1917
TI - Smart service systems: An interdisciplinary perspective
ER -
TY - CONF
AB - The Digital Transformation alters business models in all fields of application, but not all industries transform at the same speed. While recent innovations in smart products, big data, and machine learn-ing have profoundly transformed business models in the high-tech sector, less digitalized industries—like agriculture—have only begun to capitalize on these technologies. Inspired by predictive mainte-nance strategies for industrial equipment, the purpose of this paper is to design, implement, and evaluate a predictive maintenance method for agricultural machines that predicts future defects of a machine’s components, based on a data-driven analysis of service records. An evaluation with 3,407 real-world service records proves that the method predicts damaged parts with a mean accuracy of 86.34%. The artifact is an exaptation of previous design knowledge from high-tech industries to agriculture—a sector in which machines move through rough territory and adverse weather conditions, are utilized exten-sively for short periods, and do not provide sensor data to service providers. Deployed on a platform, the prediction method enables co-creating a predictive maintenance service that helps farmers to avoid resources shortages during harvest seasons, while service providers can plan and conduct maintenance service preemptively and with increased efficiency.
AU - Lüttenberg, Hedda
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
ID - 2861
TI - Designing Predictive Maintenance for Agricultural Machines
ER -
TY - CONF
AU - Bartelheimer, Christian
AU - Hendrik Betzing, Jan
AU - Berendes, Ingo
AU - Beverungen, Daniel
ID - 3279
T2 - Proceedings of the 26th European Conference on Information Systems
TI - Designing Multi-sided Community Platforms for Local High Street Retail
ER -
TY - CONF
AU - Hendrik Betzing, Jan
AU - Beverungen, Daniel
AU - Becker, Jörg
ED - Drews, Paul
ED - Funk, Burkhardt
ED - Niemeyer, Peter
ED - Xie, Lin
ID - 3280
T2 - Tagungsband Data driven X --- Turning Data into Value --- Band V
TI - Design Principles for Co-Creating Digital Customer Experience in High Street Retail
ER -
TY - JOUR
AU - Beverungen, Daniel
AU - Lüttenberg, Hedda
AU - Wolf, Verena
ID - 4516
IS - 5
JF - Business & Information Systems Engineering
SN - 2363-7005
TI - Recombinant Service Systems Engineering
VL - 60
ER -
TY - CHAP
AU - Lüttenberg, Hedda
AU - Wolf, Verena
AU - Beverungen, Daniel
ID - 4519
SN - 9783658209049
T2 - Service Engineering
TI - Service (Systems) Engineering für die Produktion
ER -
TY - CONF
AU - Ingo Berendes, C.
AU - Bartelheimer, Christian
AU - Hendrik Betzing, Jan
AU - Beverungen, Daniel
ID - 4766
T2 - Proceedings of the 39th International Conference on Information Systems
TI - Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language
ER -
TY - GEN
AU - Beverungen, Daniel
AU - Wolf, Verena
AU - Bartelheimer, Christian
ID - 9687
T2 - Service Business Development. spot.on marketing - Der Newsletter für Marketing und Business Development
TI - Dienstleistungssysteme erfolgreich digital transformieren
ER -
TY - CONF
AU - Gernreich, Chris
AU - Wolf, Verena
AU - Bartelheimer, Christian
AU - Prinz, Christopher
ID - 9709
T2 - Proceedings of the 39th International Conference on Information Systems
TI - The Impact of Process Automation on Manufacturers’ Long-Term Knowledge
ER -
TY - CHAP
AU - Beverungen, Daniel
AU - Wolf, Verena
AU - Bartelheimer, Christian
ID - 5073
SN - 9783658224233
T2 - Service Business Development
TI - Digitale Transformation von Dienstleistungssystemen
ER -
TY - JOUR
AB - Taxi ridesharing1 (TRS) is an advanced form of urban transportation that matches separate ride requests with similar spatio-temporal characteristics to a jointly used taxi. As collaborative consumption, TRS saves customers money, enables taxi companies to economize use of their resources, and lowers greenhouse gas emissions. We develop a one-to-one TRS approach that matches rides with similar start and end points. We evaluate our approach by analyzing an open dataset of > 5 million taxi trajectories in New York City. Our empirical analysis reveals that the proposed approach matches up to 48.34% of all taxi rides, saving 2,892,036 km of travel distance, 231,362.89 l of gas, and 532,134.64 kg of CO2 emissions per week. Compared to many-to-many TRS approaches, our approach is competitive, simpler to implement and operate, and poses less rigid assumptions on data availability and customer acceptance.
AU - Barann, Benjamin
AU - Beverungen, Daniel
AU - Müller, Oliver
ID - 2856
JF - Decision Support Systems
KW - Taxi ridesharing Collaborative consumption Transportation Open data Sustainability Shared mobility
TI - An open-data approach for quantifying the potential of taxi ridesharing
ER -
TY - CONF
AB - Although many methods have been proposed for engineering services and customer solutions, most of these approaches give little consideration to recombinant service innovation. In an age of smart products and
smart data, we can, however, expect that many of future service innovations need to be based on adding, transferring, dissociating, and associating existing value propositions. The purpose of this paper is to outline what properties constitute recombinant service innovation and to identify if current service engineering approaches fulfill
these properties. Based on a conceptual in-depth analysis of 24 service engineering methods, we identify that most methods focus on designing value propositions instead of service systems, view service independent of physical goods, are linear or iterative, and incompletely address the mechanisms of recombinant innovation. We discuss how these deficiencies can be remedied and propose a first conceptual model of a revised se
rvice system engineering approach.
AU - Beverungen, Daniel
AU - Lüttenberg, Hedda
AU - Wolf, Verena
ED - Leimeister, Jan Marco
ED - Brenner, Walter
ID - 2860
KW - Service engineering
KW - recombinant innovation
KW - (product - )service system
KW - literature analysis
KW - new service development
T2 - Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017)
TI - Recombinant Service System Engineering
ER -
TY - CONF
AU - Klör, Benjamin
AU - Monhof, Markus
AU - Bräuer, Sebastian
AU - Beverungen, Daniel
ID - 3282
T2 - Proceedings of the 19th IEEE Conference on Business Informatics (CBI 2017)
TI - Recommendation and Configuration of Value-Added Services for Repurposing Electric Vehicle Batteries: A Vertical Software Prototype
ER -
TY - JOUR
AU - Hendrik Betzing, Jan
AU - Beverungen, Daniel
AU - Becker, Jörg
AU - Matzner, Martin
AU - Schmitz, Gertrud
AU - Bartelheimer, Christian
AU - Berendes, Carsten Ingo
AU - Braun, Marina
AU - Gadeib, Andera
AU - Hoffen}, Moritz {von
AU - Schallenberg, Christian
ID - 3487
IS - 5
JF - HMD Praxis der Wirtschaftsinformatik
TI - Interaktive, digitale Einkaufserlebnisse in Innenstädten
ER -
TY - JOUR
AU - Beverungen, Daniel
AU - Bräuer, Sebastian
AU - Plenter, Florian
AU - Klör, Benjamin
AU - Monhof, Markus
ID - 3488
IS - 1-2
JF - Computer Science --- Research and Development
TI - Ensembles of Context and Form for Repurposing Electric Vehicle Batteries: An Exploratory Study
ER -
TY - JOUR
AB - Digital interactions among businesses and consumers through powerful information systems and omnipresent connected devices establish today’s networked society. In this light, Service Science continues to take root as a research discipline that focuses on the integration of (digital) resources by service providers and service customers for value co-creation in service systems. Rapid advances in information technology allow for designing novel information systems that enable entirely new configurations of service systems. In turn, Service Science also leaves its mark on the design, adoption, and use of information systems and technology. With this special issue, we compile a set of timely papers that investigate selected facets of the complex interplay between information technology, information systems, and Service Science to design innovative IT artifacts for smart service. This editorial opens this special issue by elaborating on our understanding of smart service.