Business Value of Smart Devices on the Internet of Things

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    Design with Perfect Sense: the Adoption of Smart Sensor Technologies (SST) in Architectural Practice
    ( 2019-01-08) Abhari, Maryam ; Abhari, Kaveh
    Recent development in the Internet of Things (IoT) has enabled real-time data-driven decision making in diverse industries. For example, over the last few years, the introduction of smart sensor technologies such as Watson IoT has led to various data-driven solutions in space planning, real-estate management, and energy conservation. Despite the recent development, these technologies are not widely used in architectural practice. In the wake of this trend, this research aims at understanding how architects and design professionals can be supported to further utilize smart sensor technologies in their practice. Based on the Technology-Organization-Environment framework and a series of interviews, the major influencing factors on user adoption were identified. This study contributes to both theory and practice by identifying six contributing factors, namely perceived risk and value, commitment to learn and collaborate, as well as knowledge and trust.
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    Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT: Phases, Capabilities and Use Cases
    ( 2019-01-08) Gebken, Larissa ; Drews, Paul ; Schirmer, Ingrid
    In the construction sector, projects for building complex structures often exceed estimated costs and time. Therefore, enterprises in this sector rethink and improve their processes. For addressing this challenge, the discipline of Building Information Modeling (BIM) developed new process models to optimize the lifecycle of structures by leveraging technology and data sharing. Recently, enterprises explored the use of IoT technology for generating valid and up-to-date data. In this paper, we present an IoT capabilities map for BIM. This map employs BIM phases and capabilities to provide a structured overview of use cases from the literature and an empirical study we conducted in the rail construction sector. The map helps to guide further research in this area and provides blueprints for companies in the construction industry that seek to make use of IoT for improving their processes.
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    Designing Smart Services: A System Dynamics-Based Business Modeling Method for IoT-Enabled Maintenance Services
    ( 2019-01-08) Akkermans, Henk ; Zhu, Quan ; Fang, Feng ; Lamper, Laurens ; van de Kerkhof, Roland
    This paper reports on a design science research project aiming to develop a method to support business decision-making regarding IoT-enabled maintenance services for Original Equipment Manufacturers (OEMs). Often, these OEMs remain reluctant to make full use of recent advances in the Internet of Things (IoT), sensor technologies and data analytics for providing services on installed equipment with Asset Owners (AOs). These new developments allow them to advance on their servitization journeys from selling products to selling product-centered services. The method is based on System dynamics (SD), a powerful modeling methodology to capture all these complexities in an integral, coherent and visible manner with all stakeholders. It also allows for a quantitative analysis of the business case for “smart maintenance services”. The paper describes servitization, smart (i.e. digitally enabled) mainte-nance services and then the method itself. A case study illustrates the application of the method for an OEM in the semiconductor industry.
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    Building Dynamic Capabilities with the Internet of Things
    ( 2019-01-08) Dunaway Virginia, Mary ; Sullivan, Yulia W. ; Fosso Wamba, Samuel
    In this study, we propose internet of things (IoT) capabilities as dynamic capabilities through their effect on a firm’s competitive advantage. We argue that the importance of the IoT lies on its ability to identify new opportunities, address them, and reconfigure the existing and/or new technology assets in rapid technology change environments. Firms with strong IoT capabilities will be able to create, (re)shape, and transform their business ecosystems through innovation. Using data collected from 184 companies, the proposed framework was tested. The results show IoT capabilities, manifested in sensing, seizing, and reconfiguring capabilities, are positively associated with a firm’s competitive advantage. This study can help scholars and practitioners understand the elements of the IoT that may lead to competitive advantage from the dynamic capabilities perspective.
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