Design-integrated financial assessment of smart services
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RESEARCH PAPER
Design-integrated financial assessment of smart services Jürgen Anke 1 Received: 31 March 2017 / Accepted: 14 May 2018 # Institute of Applied Informatics at University of Leipzig 2018
Abstract The emergence of data-driven services in the Internet of Things provides manufacturers of technical products the opportunity to become providers of services, which use data as primary input. The development of such smart services, however, is characterized by high complexity and uncertainty. To identify service ideas which are worth to pursue further, the potential financial impact is an important criterion. While the importance of a business case is acknowledged in service engineering, there is currently no concrete method that is integrated with the early design phases of smart services. Therefore, we propose a toolbased method for the design-integrated financial assessment of smart services. We use a design science research approach to develop a meta-model, which is implemented in a web-based tool. The experimental evaluation shows that the proposed tool provides benefits, especially in structuring the task for project teams. Therefore, it appears to be beneficial to provide interdisciplinary teams a tool-based support for the design and evaluation of smart services. Keywords Smart services . Intelligent products . Service engineering . Product-service systems . Cyber-physical systems . Profitability analysis JEL classification O320: Management of Technological Innovation and R&D . L86: Information and Internet Services • Computer Software. . O14: Industrialization • Manufacturing and Service Industries • Choice of Technology.
Introduction Motivation The ongoing proliferation of connected devices and assets drives the emergence of the Internet of Things (IoT), which is the enabler for a variety of innovative applications. Recent forecasts estimate the market size of IoT solutions to grow to 267 billion USD in 2020, of which 50% is to be created for applications in industries like discrete manufacturing, transportation and logistics, and utilities (Columbus 2017). Autonomous data acquisition through sensors as well as the remote control of devices through actuators using the Internet is the basis of so-called smart services (Allmendinger and Lombreglia 2005; Georgakopoulos and
Responsible Editor: Haluk Demirkan * Jürgen Anke [email protected] 1
Hochschule für Telekommunikation Leipzig, Gustav-Freytag-Straße 43-45, 04277 Leipzig, Germany
Jayaraman 2016). The concept refers to physical products, which are augmented with globally usable digital functions, in addition to their local physical functions (Fleisch et al. 2015). The provision of such services is based on the recording of sensors and operational data, its transmission via digital networks, as well as its evaluation and the delivery of the analysis results, e.g. via smartphone apps. For example, networked bicycles warn of chain wear and call assistance in case of accidents (Shaw 2014). Industrial products such as compressors, ventilation systems
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