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Matthias M. Herterich
Former Member
Last Name
Herterich
First name
Matthias M.
Phone
+41 71 224 3832
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1 - 10 of 23
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PublicationActualizing Big Data Analytics Affordances: A Revelatory Case Study(Elsevier, )Vom Brocke, JanDrawing on a revelatory case study, we identify four big data analytics (BDA) actualization mechanisms: (1) enhancing, (2) constructing, (3) coordinating, and (4) integrating, which manifest in actions on three socio-technical system levels, i.e., the structure, actor, and technology levels. We investigate the actualization of four BDA affordances at an automotive manufacturing company, i.e., establishing customer-centric marketing, provisioning vehicle-data-driven services, data-driven vehicle developing, and optimizing production processes. This study introduces a theoretical perspective to BDA research that explains how organizational actions contribute to actualizing BDA affordances. We further provide practical implications that can help guide practitioners in BDA adoption.Type: journal articleJournal: Information & Management
Scopus© Citations 81 -
PublicationType: journal articleJournal: HMD : Praxis der WirtschaftsinformatikVolume: 55Issue: 1
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PublicationTowards a Method Compendium for the Development of Digitized Products - Findings from a Case Study(Inderscience Enterprises, 2018-01)The pervasive infiltration of digital technology into physical products brings both tremendous challenges and opportunities to original equipment manufacturers. With the goal to support the initial stages of the product lifecycle, this article introduces a method compendium for the development of digitized products. More precisely, the compendium suggests (1) customer- and user-centric innovation methods, (2) agile and prototyping methods, (3) system and architecture modelling methods, (4) feedback- and data-driven methods, and (5) service and business modelling methods. Methodically, we draw on secondary data from a longitudinal single-case study scrutinizing the development of digitized trucks at a leading materials handling and intralogistics organization. Bounded to the business-to-business context of industrial equipment manufacturing, we enrich product lifecycle management with methodological contributions valuable for academia and practice alike.Type: journal articleJournal: International journal of product lifecycle management : IJPLM
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PublicationHow AUDI AG Established Big Data Analytics in its Digital Transformation(Kelley School of Business, 2017-06)
;Waizmann, Jean-ClaudeDigital transformation, which often includes establishing big data analytics capabilities, poses considerable challenges for traditional manufacturing organizations, such as car companies. Successfully introducing big data analytics requires substantial organizational transformation and new organizational structures and business processes. Based on the three-stage evolution of big data analytics capabilities at AUDI, we provide recommendations for how traditional manufacturing organizations can successfully introduce big data analytics and master the related organizational transformations.Type: journal articleJournal: MIS Quarterly ExecutiveVolume: 16Issue: 2 -
PublicationType: journal articleJournal: HMD : Praxis der WirtschaftsinformatikVolume: 53Issue: 5
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PublicationType: journal articleJournal: MIS Quarterly ExecutiveVolume: 15Issue: 4
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PublicationNutzenpotentiale cyber-physischer Systeme für industrielle Dienstleistungen 4.0Both managers and researchers agree: Manufacturing as one of the most traditional and conservative industries is undergoing the most fundamental change in decades. Facing shrinking margins in their core business, manufacturing firms of industrial equipment and capital goods started to expand their business by also offering services that complement the traditional product business to address the long lifecycles of industrial equipment. Digital innovation and industrial equipment with cyber-physical capabilities unlock new opportunities for the industrial service business and pivot the manufacturing industry. With the ability to (1) improve efficiency and quality of existing services, (2) establish new service offerings and (3) transform the service ecosystem, myriad opportunities for service innovation emerge. Based on 45 concrete smart service scenarios, we identify areas of benefit of cyber-physical equipment for the industrial service business.Type: journal articleJournal: HMD : Praxis der WirtschaftsinformatikVolume: 52Issue: 5
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PublicationThe Impact of Cyber-physical Systems on Industrial Services in ManufacturingBesides selling tangible products, manufacturing companieshave also started to compete byoffering product-related services throughout the product lifecycle. In this context, the recent riseof cyber-physical systems (CPSs) and smart, connected equipment paves the way for additional opportunities for the service business among the lifecycle and pivots of traditional maintenance, repair and overhaul (MRO) service business. Based on 11 case studies,we investigate service innovations driven bydigitalization and CPSsand their impact on the service ecosystem.We identify affordances thateffectively exploit the new technological capabilities in existing and future service scenarios.Type: journal articleJournal: Procedia CIRPVolume: 30
Scopus© Citations 172 -
PublicationDesign Thinking Methods for Service Innovation - A Delphi Study(Association for Information Systems (AIS), 2018-06)As our world is getting increasingly servitized and digitized, innovation is no longer bound to physical products. Customer experience and innovative services have become the new imperative for business success. Design Thinking is becoming a valid approach for service innovation in the digital age. However, a profound understanding of “how” Design Thinking contributes to service innovation is still missing. We show this by conducting a Delphi study which includes 14 Design Thinking experts across different company sizes and industries. As a result, we demonstrate consensus on 59 highly relevant methods for service innovation allocated to the respective Design Thinking phase. This is the first study to provide a comprehensive view on Design Thinking methods for service innovation. We enhance the understanding of Design Thinking and lay the foundation for further investigations into the service innovation process. Practitioners receive guidance from our findings for applying those methods.Type: conference paperJournal: PACIS 2018 Proceedings
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PublicationActualizing Affordances: A Socio-Technical Perspective on Big Data Analytics in the Automotive Sector( 2017)Big data analytics affects organization in multiple ways, among others in regard to (1) new task possibilities for companies (i.e., affordances), (2) required technology implementations, (3) the development of peoples’ capabilities as well as a data-driven culture, and (4) the implementation of organizational structures that ensure collaboration across departmental boundaries. Drawing on a multiple-case study approach, we use affordance theory in conjunction with socio-technical systems theory to elaborate ex-ante required organizational changes as well as the subsequent actualization of big data analytics affordances. First results indicate that to actualize big data analytics’ affordances the successful adaption of components within the socio-technical system (i.e., actors, structures, and technology) is necessary. In this article, we report on our research design as well as preliminary results of an initial case analysis discussing organizational antecedents for the actualization of big data analytics affordances.Type: conference paper
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