The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field

Software Development for Mobile Computing, the Internet of Things and Wearable Devices: Inspecting the Past to Understand the Future

Currently a convergence in software development for mobile computing (including mobile devices and special technology such as wearables) and the Internet of Things (IoT) can be observed. Devices from the fields are becoming part of a joint ecosystem and share the same infrastructure. Moreover, development processes have changed and user requirements have become very heterogeneous. We have been studying this development for a while, also by offering the fitting HICSS minitrack. In this article, we look into the past of software development for mobile devices, in the context of IoT, and for wearables. We analyse joint characteristics and show differences. Then we invite to a discussion that leads to a research outlook. While neither for industry nor for academia the journey is over, the convergence of fields should offer many new possibilities, prevent problems we faced in the past, but also introduce novel challenges

Software Development for Mobile Computing, the Internet of Things and Wearable Devices: Inspecting the Past to Understand the Future

Currently a convergence in software development for mobile computing (including mobile devices and special technology such as wearables) and the Internet of Things (IoT) can be observed. Devices from the fields are becoming part of a joint ecosystem and share the same infrastructure. Moreover, development processes have changed and user requirements have become very heterogeneous. We have been studying this development for a while, also by offering the fitting HICSS minitrack. In this article, we look into the past of software development for mobile devices, in the context of IoT, and for wearables. We analyse joint characteristics and show differences. Then we invite to a discussion that leads to a research outlook. While neither for industry nor for academia the journey is over, the convergence of fields should offer many new possibilities, prevent problems we faced in the past, but also introduce novel challenges.publishedVersio

Literature Review on Blockchain with focus on Supply Chain

In order to understand the applicability of Blockchain technology to Supply Chain, this paper reviews the available literature published within the AISNET’s basket of eight journals on the topic Blockchain and a list of selected top IS conferences. One observation in the results is that authors have been giving more importance to areas related to either fintech or cryptocurrencies. Nevertheless, other applications of blockchain technologies are being approached by these authors. Since the area of focus of this paper relates to Supply Chain, the refinement process of the results, consisted on filtering out those observations. Hence the approach consists on the research and review of all available publications with the utilization of a unique interpretation framework and focus on the avenues of research provided by these articles. Gathering information in order to create discussion debates, grouped by the unit of analysis identified, within Supply Chain

AMCIS 2006 Panel Summary: Towards the Service Oriented Enterprise Vision: Bridging Industry and Academics

The complexities and costs of current information architectures, infrastructures, and distributed data and software have provided impetus to emerging conceptualizations of the Service Oriented Enterprise (SOE). The foundations for SOE can be found in current applications of service oriented architecture (SOA), service oriented infrastructure (SOI), business process and workflow, computing resource virtualization, business semantics, service level agreements, increasing standardization, and other areas of applied research. This article reports on a panel held at the 2006 Americas Conference on Information Systems (AMCIS) in Acapulco, Mexico, regarding the impacts of SOE tenets on the IS field. Two organizations that are at the leading edge of the SOE continuum [American Express and Intel] in terms of vision and experiences were represented by Margaret Mitchell and George Brown. In addition, MIS academics were represented on the panel by the authors, researchers from Arizona State University. Both industry and academics brought unique perspectives. American Express\u27 SOE approach addresses organizational structure and business intelligence project workflow issues. The company hosts one of the largest IT infrastructures capable of handling untold numbers of transactions each second. Intel\u27s SOE approach addresses the orchestration of services and workflows in the cross-architecture environments characterizing the modern extended global enterprise. Intel is playing a lead role in establishing the OASIS (the Organization for the Advancement of Structured Information Standards) SOA Reference Model (called \u27ebSOA\u27)

A systematic mapping study

Corte-Real, N., Ruivo, P., & Oliveira, T. (2014). The diffusion stages of business intelligence & analytics (BI&A):: A systematic mapping study. In Procedia Technology (Vol. 16, pp. 172-179). (Procedia Technology). DOI: 10.1016/j.protcy.2014.10.080Business intelligence & analytics (BI&A) has evolved to become a foundational cornerstone of enterprise decision support. Since the way BI&A is implemented and assimilated is quite different among organizations is important to approach BI&A literature by four selected diffusion stages (adoption, implementation, use and impacts of use). The diffusion stages assume a crucial importance to track the BI&A evolution in organizations and justify the investment made. The main focus of this paper is to evidence BI&A research on its several diffusion stages. It provides an updated bibliography of BI&A articles published in the IS journal and conferences during the period of 2000 and 2013. A total of 30 articles from 11 journals and 8 conferences are reviewed. This study contributes to the BI&A research in three ways. This is the first systematic mapping study focused on BI&A diffusion stages. It contributes to see how BI&A stages have been analyzed (theories used, data collection methods, analysis methods and publication source). Finally, it observes that little attention has been given to BI&A post-adoption stages and proposes future research line on this area.publishersversionpublishe

Subject-Independent Detection of Yes/No Decisions Using EEG Recordings During Motor Imagery Tasks: A Novel Machine-Learning Approach with Fine-Graded EEG Spectrum

The classification of sensorimotor rhythms in electroencephalography signals can enable paralyzed individuals, for example, to make yes/no decisions. In practice, these approaches are hard to implement due to the variability of electroencephalography signals between and within subjects. Therefore, we report a novel and fast machine learning model, meeting the need for efficiency and reliability as well as low calibration and training time. Our model extracts finely graded frequency bands from motor imagery electroencephalography data by using power spectral density and training a random forest algorithm for classification. The goal was to create a non-invasive generalizable method by training the algorithm with subject-independent EEG data. We evaluate our approach using one of the currently largest publicly available electroencephalography datasets. With a balanced accuracy of 73.94%, our novel algorithm outperforms other state-of-the-art non-subject-dependent algorithms

Fog computing pour l'intégration d'agents et de services Web dans un middleware réflexif autonome

International audienceService Oriented Architecture (SOA) has emerged as a dominant architecture for interoperability between applications, by using a weak-coupled model based on the flexibility provided by Web Services, which has led to a wide range of applications, what is known as cloud computing. On the other hand, Multi-Agent System (MAS) is widely used in the industry, because it provides an appropriate solution to complex problems, in a proactive and intelligent way. Specifically, Intelligent Environments (Smart City, Smart Classroom, Cyber Physical System, and Smart Factory, among others) obtain great benefits by using both architectures, because MAS endows intelligence to the environment, while SOA enables users to interact with cloud services, which improve the capabilities of the devices deployed in the environment. Additionally, the fog computing paradigm extends the cloud computing paradigm to be closer to the things that produce and act on the intelligent environment, allowing to deal with issues like mobility, real time, low latency, geo-localization, among other aspects. In this sense, in this article we present a middleware, which not only is capable of allowing MAS and SOA to communicate in a bidirectional and transparent way, but also, it uses the fog computing paradigm autonomously, according to the context and to the system load factor. Additionally, we analyze the performance of the incorporation of the fog-computing paradigm in our middleware and compare it with other works

Examining potential benefits and challenges associated with the Internet of Things integration in supply chains

Purpose The Internet of Things (IoT) is expected to have a huge impact on businesses and, especially, the way we think about supply chain management. However, there is still a paucity of studies on the impact of IoT adoption on supply chains and on different aspects of the business in general. The research aims to examine the perception of the academic community of the impact of the Internet of Things (IoT) adoption in organizational supply chains with a view to verify potential key benefits and challenges existent in the literature. The research presents the impact on an organization along with the impact across its entire supply chain. Design/methodology/approach Data was collected through the use of an online survey and 87 participants completed the survey. Participants were mainly from the academic community and were university scholars based in different countries located in six continents. Participants were authors, or co-authors, of academic papers published in the Decision Science Institute 2015 and 2016 annual conference proceedings, the 21st International Symposium of Sustainable Transport and Supply Chain Innovations, the Supply Chain Management : An International Journal 2016 issues, and the Operations and Supply Chain Management : an International Journal 2016 issues. Findings We were able to confirm the significance of some of the examined potential benefits to individual organizations and their entire supply chains. However, the study identified other potential benefits that were not seen as a direct impact of IoT adoption. Most of the examined potential benefits were found to contribute to a number of critical success factors for implementing successful supply chain management. We were also able to confirm that some of the examined potential challenges were still perceived as key hinders to IoT adoption but examined potential challenges were not seen as hurdles to IoT adoption. Originality/value To our best knowledge, this is the first study of its kind. Although some literature attempted to provide an overview about the IoT management, no study has specifically explored potential benefits and challenges related to the adoption of IoT in supply chains and ranked them based on their significance. The results can be beneficial to; academic scholars interested in the researched topic, business professionals, organizations within different sectors, and any other party interested in understanding more about the impact of adopting IoT on supply chain management