@article{KorteTiberiusBrem2021, author = {Korte, Andreas and Tiberius, Victor and Brem, Alexander}, title = {Internet of Things (IoT) technology research in business and management literature}, series = {Journal of theoretical and applied electronic commerce research}, volume = {16}, journal = {Journal of theoretical and applied electronic commerce research}, number = {6}, publisher = {MPDI}, address = {Basel}, issn = {0718-1876}, doi = {10.3390/jtaer16060116}, pages = {2073 -- 2090}, year = {2021}, abstract = {In coherence with the progressive digitalization of all areas of life, the Internet of Things (IoT) is a flourishing concept in both research and practice. Due to the increasing scholarly attention, the literature landscape has become scattered and fragmented. With a focus on the commercial application of the IoT and corresponding research, we employ a co-citation analysis and literature review to structure the field. We find and describe 19 research themes. To consolidate the extant research, we propose a research framework, which is based on a theoretical implementation process of IoT as a concept, specific IoT applications, or architectures integrated in an adapted input-process-output model. The main variables of the model are an initial definition and conceptualization of an IoT concept (input), which goes through an evaluation process (process), before it is implemented and can have an impact in practice (output). The paper contributes to interdisciplinary research relating to a business and management perspective on IoT by providing a holistic overview of predominant research themes and an integrative research framework.}, language = {en} } @article{NeumannTiberiusBiendarra2022, author = {Neumann, Daniel and Tiberius, Victor and Biendarra, Florin}, title = {Adopting wearables to customize health insurance contributions}, series = {BMC medical informatics and decision making}, volume = {22}, journal = {BMC medical informatics and decision making}, publisher = {Springer Nature}, address = {London}, issn = {1472-6947}, doi = {10.1186/s12911-022-01851-4}, pages = {1 -- 7}, year = {2022}, abstract = {Background Wearables, as small portable computer systems worn on the body, can track user fitness and health data, which can be used to customize health insurance contributions individually. In particular, insured individuals with a healthy lifestyle can receive a reduction of their contributions to be paid. However, this potential is hardly used in practice. Objective This study aims to identify which barrier factors impede the usage of wearables for assessing individual risk scores for health insurances, despite its technological feasibility, and to rank these barriers according to their relevance. Methods To reach these goals, we conduct a ranking-type Delphi study with the following three stages. First, we collected possible barrier factors from a panel of 16 experts and consolidated them to a list of 11 barrier categories. Second, the panel was asked to rank them regarding their relevance. Third, to enhance the panel consensus, the ranking was revealed to the experts, who were then asked to re-rank the barriers. Results The results suggest that regulation is the most important barrier. Other relevant barriers are false or inaccurate measurements and application errors caused by the users. Additionally, insurers could lack the required technological competence to use the wearable data appropriately. Conclusion A wider use of wearables and health apps could be achieved through regulatory modifications, especially regarding privacy issues. Even after assuring stricter regulations, users' privacy concerns could partly remain, if the data exchange between wearables manufacturers, health app providers, and health insurers does not become more transparent.}, language = {en} } @inproceedings{GronauGrumBender2016, author = {Gronau, Norbert and Grum, Marcus and Bender, Benedict}, title = {Determining the optimal level of autonomy in cyber-physical production systems}, series = {IEEE 14th International Conference on Industrial Informatics (INDIN)}, booktitle = {IEEE 14th International Conference on Industrial Informatics (INDIN)}, publisher = {IEEE}, address = {New York}, doi = {10.1109/INDIN.2016.7819367}, pages = {1293 -- 1299}, year = {2016}, abstract = {Traditional production systems are enhanced by cyber-physical systems (CPS) and Internet of Things. A kind of next generation systems, those cyber-physical production systems (CPPS) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment.}, language = {en} } @misc{SahlmannSchefflerSchnor2018, author = {Sahlmann, Kristina and Scheffler, Thomas and Schnor, Bettina}, title = {Ontology-driven Device Descriptions for IoT Network Management}, series = {2018 Global Internet of Things Summit (GIoTS)}, journal = {2018 Global Internet of Things Summit (GIoTS)}, publisher = {IEEE}, address = {New York}, isbn = {978-1-5386-6451-3}, doi = {10.1109/GIOTS.2018.8534569}, pages = {295 -- 300}, year = {2018}, abstract = {One particular challenge in the Internet of Things is the management of many heterogeneous things. The things are typically constrained devices with limited memory, power, network and processing capacity. Configuring every device manually is a tedious task. We propose an interoperable way to configure an IoT network automatically using existing standards. The proposed NETCONF-MQTT bridge intermediates between the constrained devices (speaking MQTT) and the network management standard NETCONF. The NETCONF-MQTT bridge generates dynamically YANG data models from the semantic description of the device capabilities based on the oneM2M ontology. We evaluate the approach for two use cases, i.e. describing an actuator and a sensor scenario.}, language = {en} } @misc{SahlmannSchwotzer2018, author = {Sahlmann, Kristina and Schwotzer, Thomas}, title = {Ontology-based virtual IoT devices for edge computing}, series = {Proceedings of the 8th International Conference on the Internet of Things}, journal = {Proceedings of the 8th International Conference on the Internet of Things}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6564-2}, doi = {10.1145/3277593.3277597}, pages = {1 -- 7}, year = {2018}, abstract = {An IoT network may consist of hundreds heterogeneous devices. Some of them may be constrained in terms of memory, power, processing and network capacity. Manual network and service management of IoT devices are challenging. We propose a usage of an ontology for the IoT device descriptions enabling automatic network management as well as service discovery and aggregation. Our IoT architecture approach ensures interoperability using existing standards, i.e. MQTT protocol and SemanticWeb technologies. We herein introduce virtual IoT devices and their semantic framework deployed at the edge of network. As a result, virtual devices are enabled to aggregate capabilities of IoT devices, derive new services by inference, delegate requests/responses and generate events. Furthermore, they can collect and pre-process sensor data. These tasks on the edge computing overcome the shortcomings of the cloud usage regarding siloization, network bandwidth, latency and speed. We validate our proposition by implementing a virtual device on a Raspberry Pi.}, language = {en} } @misc{HesseMatthiesSinzigetal.2019, author = {Hesse, G{\"u}nter and Matthies, Christoph and Sinzig, Werner and Uflacker, Matthias}, title = {Adding Value by Combining Business and Sensor Data}, series = {Database Systems for Advanced Applications}, volume = {11448}, journal = {Database Systems for Advanced Applications}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-18590-9}, issn = {0302-9743}, doi = {10.1007/978-3-030-18590-9_80}, pages = {528 -- 532}, year = {2019}, abstract = {Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data's full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs.}, language = {en} } @article{SahlmannClemensNowaketal.2020, author = {Sahlmann, Kristina and Clemens, Vera and Nowak, Michael and Schnor, Bettina}, title = {MUP}, series = {Sensors}, volume = {21}, journal = {Sensors}, number = {1}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {10.3390/s21010010}, pages = {21}, year = {2020}, abstract = {Message Queuing Telemetry Transport (MQTT) is one of the dominating protocols for edge- and cloud-based Internet of Things (IoT) solutions. When a security vulnerability of an IoT device is known, it has to be fixed as soon as possible. This requires a firmware update procedure. In this paper, we propose a secure update protocol for MQTT-connected devices which ensures the freshness of the firmware, authenticates the new firmware and considers constrained devices. We show that the update protocol is easy to integrate in an MQTT-based IoT network using a semantic approach. The feasibility of our approach is demonstrated by a detailed performance analysis of our prototype implementation on a IoT device with 32 kB RAM. Thereby, we identify design issues in MQTT 5 which can help to improve the support of constrained devices.}, language = {en} }