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  • 1.
    Beheshti, H. M.
    et al.
    Department of Management, Radford University.
    Hultman, M.
    Division of Industrial Marketing and e-Commerce, Lulea University of Technology.
    Jung, M. -L
    Division of Industrial Marketing and e-Commerce, Lulea University of Technology.
    Opoku, R. A.
    Division of Industrial Marketing and e-Commerce, Lulea University of Technology.
    Salehi-Sangari, Esmail
    Division of Industrial Marketing and e-Commerce, Lulea University of Technology.
    Electronic supply chain management applications by Swedish SMEs2007In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 1, no 2, p. 255-268Article in journal (Refereed)
    Abstract [en]

    The Internet has become an integral part of business activities of most corporations today. Electronic supply chain management (SCM) can improve the operational efficiency of the firm by streamlining processes between the company and its suppliers, business partners, and customers. This research explores the extent and the degree of Internet application in Swedish small- and medium-sized enterprises (SMEs). The analyses of the data show that the Swedish SMEs use the Internet in their supply chain activities to a large degree. The study establishes some differences between smaller and larger organizations as well as between manufacturing and service companies.

  • 2.
    Huang, Boming
    et al.
    Fudan Univ, Shanghai Inst Intelligent Elect & Syst, Sch Informat Sci & Technol, Shanghai, Peoples R China..
    Huan, Yuxiang
    KTH, School of Information and Communication Technology (ICT). Fudan Univ, Shanghai Inst Intelligent Elect & Syst, Sch Informat Sci & Technol, Shanghai, Peoples R China.
    Xu, Li Da
    Old Dominion Univ, Norfolk, VA USA..
    Zheng, Lirong
    Fudan Univ, Shanghai Inst Intelligent Elect & Syst, Sch Informat Sci & Technol, Shanghai, Peoples R China..
    Zou, Zhuo
    Fudan Univ, Shanghai Inst Intelligent Elect & Syst, Sch Informat Sci & Technol, Shanghai, Peoples R China..
    Automated trading systems statistical and machine learning methods and hardware implementation: a survey2019In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 13, no 1, p. 132-144Article in journal (Refereed)
    Abstract [en]

    Automated trading, which is also known as algorithmic trading, is a method of using a predesigned computer program to submit a large number of trading orders to an exchange. It is substantially a real-time decision-making system which is under the scope of Enterprise Information System (EIS). With the rapid development of telecommunication and computer technology, the mechanisms underlying automated trading systems have become increasingly diversified. Considerable effort has been exerted by both academia and trading firms towards mining potential factors that may generate significantly higher profits. In this paper, we review studies on trading systems built using various methods and empirically evaluate the methods by grouping them into three types: technical analyses, textual analyses and high-frequency trading. Then, we evaluate the advantages and disadvantages of each method and assess their future prospects.

  • 3.
    Narman, Pia
    et al.
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Johnson, Pontus
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Gingnell, Liv
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Using enterprise architecture to analyse how organisational structure impact motivation and learning2016In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 10, no 5, p. 523-562Article in journal (Refereed)
    Abstract [en]

    When technology, environment, or strategies change, organisations need to adjust their structures accordingly. These structural changes do not always enhance the organisational performance as intended partly because organisational developers do not understand the consequences of structural changes in performance. This article presents a model-based analysis framework for quantitative analysis of the effect of organisational structure on organisation performance in terms of employee motivation and learning. The model is based on Mintzberg's work on organisational structure. The quantitative analysis is formalised using the Object Constraint Language (OCL) and the Unified Modelling Language (UML) and implemented in an enterprise architecture tool.

  • 4.
    Närman, Per
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Franke, Ulrik
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    König, Johan
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Buschle, Markus
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ekstedt, Mathias
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Enterprise Architecture Availability Analysis Using Fault Trees and Stakeholder Interviews2014In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 8, no 1, p. 1-25Article in journal (Refereed)
    Abstract [en]

    The availability of enterprise information systems is a key concern for many organisations. This article describes a method for availability analysis based on Fault Tree Analysis and constructs from the ArchiMate enterprise architecture (EA) language. To test the quality of the method, several case-studies within the banking and electrical utility industries were performed. Input data were collected through stakeholder interviews. The results from the case studies were compared with availability of log data to determine the accuracy of the method's predictions. In the five cases where accurate log data were available, the yearly downtime estimates were within eight hours from the actual downtimes. The cost of performing the analysis was low; no case study required more than 20 man-hours of work, making the method ideal for practitioners with an interest in obtaining rapid availability estimates of their enterprise information systems.

  • 5.
    Närman, Per
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Holm, Hannes
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Johnson, Pontus
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    König, Johan
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Chenine, Moustafa
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ekstedt, Mathias
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Data accuracy assessment using enterprise architecture2011In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 5, no 1, p. 37-58Article in journal (Refereed)
    Abstract [en]

    Errors in business processes result in poor data accuracy. This article proposes an architecture analysis method which utilises ArchiMate and the Probabilistic Relational Model formalism to model and analyse data accuracy. Since the resources available for architecture analysis are usually quite scarce, the method advocates interviews as the primary data collection technique. A case study demonstrates that the method yields correct data accuracy estimates and is more resource-efficient than a competing sampling-based data accuracy estimation method.

  • 6.
    Pang, Zhibo
    et al.
    ABB Corporate Research, Sweden.
    Zheng, Lirong
    KTH, School of Information and Communication Technology (ICT), Electronic Systems.
    Tian, Junzhe
    KTH, School of Information and Communication Technology (ICT), Electronic Systems.
    Kao-Walter, Sharon
    Dubrova, Elena
    KTH, School of Information and Communication Technology (ICT), Electronic Systems.
    Chen, Qiang
    KTH, School of Information and Communication Technology (ICT), Electronic Systems.
    Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things2015In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 9, no 1, p. 86-116Article in journal (Refereed)
    Abstract [en]

    In-home health care services based on the Internet-of-Things are promising to resolve the challenges caused by the ageing of population. But the existing research is rather scattered and shows lack of interoperability. In this article, a business-technology co-design methodology is proposed for cross-boundary integration of in-home health care devices and services. In this framework, three key elements of a solution (business model, device and service integration architecture and information system integration architecture) are organically integrated and aligned. In particular, a cooperative Health-IoT ecosystem is formulated, and information systems of all stakeholders are integrated in a cooperative health cloud as well as extended to patients' home through the in-home health care station (IHHS). Design principles of the IHHS includes the reuse of 3C platform, certification of the Health Extension, interoperability and extendibility, convenient and trusted software distribution, standardised and secured electrical health care record handling, effective service composition and efficient data fusion. These principles are applied to the design of an IHHS solution called iMedBox. Detailed device and service integration architecture and hardware and software architecture are presented and verified by an implemented prototype. The quantitative performance analysis and field trials have confirmed the feasibility of the proposed design methodology and solution.

  • 7.
    Wang, Xi Vincent
    et al.
    KTH, Centres, XPRES, Excellence in production research. KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    A cloud-based production system for information and service integration: an internet of things case study on waste electronics2017In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 11, no 7, p. 952-968Article in journal (Refereed)
    Abstract [en]

    Cloud computing is the new enabling technology that offers centralised computing, flexible data storage and scalable services. In the manufacturing context, it is possible to utilise the Cloud technology to integrate and provide industrial resources and capabilities in terms of Cloud services. In this paper, a function block-based integration mechanism is developed to connect various types of production resources. A Cloud-based architecture is also deployed to offer a service pool which maintains these resources as production services. The proposed system provides a flexible and integrated information environment for the Cloud-based production system. As a specific type of manufacturing, Waste Electrical and Electronic Equipment (WEEE) remanufacturing experiences difficulties in system integration, information exchange and resource management. In this research, WEEE is selected as the example of Internet of Things to demonstrate how the obstacles and bottlenecks are overcome with the help of Cloud-based informatics approach. In the case studies, the WEEE recycle/recovery capabilities are also integrated and deployed as flexible Cloud services. Supporting mechanisms and technologies are presented and evaluated towards the end of the paper.

  • 8.
    Zhai, Chuanying
    et al.
    KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Zou, Zhuo
    KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Zhou, Qin
    KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Mao, Jia
    KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Chen, Qiang
    KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Tenhunen, Hannu
    KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Zheng, Lirong
    KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
    Xu, L.
    A 2.4-GHz ISM RF and UWB hybrid RFID real-time locating system for industrial enterprise Internet of Things2017In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 11, no 6, p. 909-926Article in journal (Refereed)
    Abstract [en]

    This paper presents a 2.4-GHz radio frequency (RF) and ultra-wide bandwidth (UWB) hybrid real-time locating system (RTLS) for industrial enterprise Internet of Things (IoT). It employs asymmetric wireless link, that is, UWB radio is utilised for accurate positioning up to 10 cm in critical sites, whereas 2.4-GHz RF is used for tag control and coarse positioning in non-critical sites. The specified communication protocol and the adaptive tag synchronisation rate ensure reliable and deterministic access with a scalable system capacity and avoid unpredictable latency and additional energy consumption of retransmissions due to collisions. The tag, consisting of a commercial 2.4-GHz transceiver and a customised application-specific integrated circuit (ASIC) UWB transmitter (Tx), is able to achieve up to 3 years’ battery life at 1600 tags per position update second with 1000 mAh battery in one cluster. The time difference of arrival (TDoA)–based positioning experiment at UWB radio is performed on the designed software-defined radio (SDR) platform.

1 - 8 of 8
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