2,735 research outputs found
Cloud Versus Cloud: Emergency Response Communications at Large Scale Festivals and Special Events - Innovative ICT Applications
No full textThe book on emerging informatics brings together the new concepts and applications that will help define and outline problem solving methods and features in designing business and human systems. It covers international aspects of information systems design in which many relevant technologies are introduced for the welfare of human and business systems. This initiative can be viewed as an emergent area of informatics that helps better conceptualise and design new world-class solutions. The book provides four flexible sections that accommodate total of fourteen chapters. The section specifies learning contexts in emerging fields. Each chapter presents a clear basis through the problem conception and its applicable technological solutions. I hope this will help further exploration of knowledge in the informatics discipline. [Book Synopsis
Tailorable Technologies for Improving Business Intelligence Systems: Small Business Decision Maker's Perspective
No full textThe Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support. </jats:p
Design Methods of Strategic Decision Support Solutions for B2C Business Managers
No full textThis chapter reviews methods to develop a decision support system (DSS) for small business managers. The primary objective is to support managers, making strategic decisions for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilized various methods to design information systems (IS) solution, mostly intended for large businesses. None of the researchers have considered the business environment as a knowledge source for DSS development of small business strategic decision support needs. User-centered design (UCD) and design science research (DSR) method were adopted for DSS development. DSR was appropriate because it addresses the real-world application environment where research problem or opportunity are defined. Multiple case studies and web content analysis were carried out for understanding business problems, needs, and system requirements. This study used the qualitative and descriptive data analysis methods. The findings suggested developing a DSS solution to meet the small business strategic needs. </jats:p
An Emerging Decision Support Systems Technology for Disastrous Actions Management
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disaster management problem situations in which decision makers at different levels can \ud
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have the information support to respond effectively
Integration of Knowledge Management and Business Intelligence for lean organisational learning by the Digital Worker
No full textThe polarization of global labour market, hunt for talent, need to adapt quickly to changing environment is pressuring businesses more than ever before on their performance. This is further snowballed with the development of digitalization, automation, robotization and artificial intelligence that offer approaches for addressing enormous industry challenges. These challenges create a push for organisational decision makers to rethink on the management of work. Whilst, knowledge management (KM) is understood to encourage content management, collaboration with inclusion of organisational behavioural science and of course technologies. Complementing BI with knowledge management (KM) system in an organisation can account for lean and accelerated performance. In this chapter, we present our position and insights in the integration of KM and BI suited for the worker in the digital world which possibly encourages lifelong learning with the focus on adaptability
Appendix_14_June_2019-JHI – Supplemental material for Methodologies for designing healthcare analytics solutions: A literature analysis
No full textSupplemental material, Appendix_14_June_2019-JHI for Methodologies for designing healthcare analytics solutions: A literature analysis by Shah J Miah, John Gammack and Najmul Hasan in Health Informatics Journal</p
Rain or shine? Forecasting search process performance in exploratory search tasks
No full textMost information retrieval (IR) systems consider relevance, usefulness, and quality of information objects (documents, queries) for evaluation, prediction, and recommendation, often ignoring the underlying search process of information seeking. This may leave out opportunities for making recommendations that analyze the search process and/or recommend alternative search process instead of objects. To overcome this limitation, we investigated whether by analyzing a searcher’s current processes we could forecast his likelihood of achieving a certain level of success with respect to search performance in the future. We propose a machine-learning-based method to dynamically evaluate and predict search performance several time-steps ahead at each given time point of the search process during an exploratory search task. Our prediction method uses a collection of features extracted from expression of information need and coverage of information. For testing, we used log data collected from 4 user studies that included 216 users (96 individuals and 60 pairs). Our results show 80–90% accuracy in prediction depending on the number of time-steps ahead. In effect, the work reported here provides a framework for evaluating search processes during exploratory search tasks and predicting search performance. Importantly, the proposed approach is based on user processes and is independent of any IR system.This is the peer reviewed version of the following article: Shah, C., Hendahewa, C. and González-Ibáñez, R. (2015), Rain or shine? Forecasting search process performance in exploratory search tasks. Journal of the Association for Information Science and Technology, which has been published in final form at https://dx.doi.org/10.1002/asi.23484. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Peer reviewe
Urology – a specialty that will be faced by all future doctors
No full textSaiful Miah,1 Karl H Pang2 1Department of Urology, Royal Hallamshire Hospital, 2Academic Urology Unit, School of Medicine and Biomedical Sciences at the University of Sheffield, Sheffield, UKWe read with great interest the articles by Shah, and Ah-kee and Khan regarding the various potential methods that could increase the exposure of undergraduate medical students to smaller specialties.1,2 We would like to draw attention to a small but high clinical volume specialty, ie, urology.Read the original article by ShahRead the original article by Ah-kee and Khan 
Capturing collabportunities: A method to evaluate collaboration opportunities in information search using pseudocollaboration
No full textIn explicit collaborative search, two or more individuals coordinate their efforts toward a shared goal. Every day, Internet users with similar information needs have the potential to collaborate. However, online search is typically performed in solitude. Existing search systems do not promote explicit collaborations, and collaboration opportunities (collabportunities) are missed. In this article, we describe a method to evaluate the feasibility of transforming these collabportunities into recommendations for explicit collaboration. We developed a technique called pseudocollaboration to evaluate the benefits and costs of collabportunities through simulations. We evaluate the performance of our method using three data sets: (a) data from single users’ search sessions, (b) data with collaborative search sessions between pairs of searchers, and (c) logs from a largescale search engine with search sessions of thousands of searchers. Our results establish when and how collabportunities would significantly help or hinder the search process versus searches conducted individually. The method that we describe has implications for the design and implementation of recommendation systems for explicit collaboration. It also connects system-mediated and user-mediated collaborative search, whereby the system evaluates the likely benefits of collaborating for a search task and helps searchers make more informed decisions on initiating and executing such a collaboration.This is the peer reviewed version of the following article: González-Ibáñez, R., Shah, C. and White, R. W. (2015), Capturing Collabportunities: A method to evaluate collaboration opportunities in information search using pseudocollaboration. Journal of the Association for Information Science and Technology, 66: 1897–1912, which has been published in final form at https://dx.doi.org/doi:10.1002/asi.23288. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Peer reviewe
Information and communication technology-based innovations for aging healthcare
No full textAbstract: The paper presents a systematic literature review to identify the key application areas of innovations through the use of information and communication technologies (ICT) in providing healthcare information to elderly population. Out of the 210 articles published in various health informatics and information systems journals, 42 were identified to meet the requirements for inclusion in the particular review. Based on our analysis, ICT innovations offered for elderly population's healthcare are classified as: smart home-based; mobile-based; online-based; and personalised device and application-based innovations. However, most of the innovations focus only on user side demands and omit the service providers' dynamic demands for information delivery. A cloud computing-based innovation shows promise to develop an effective information delivery approach to provide benefits, both for service providers and the elderly population, needing to deliver and use relevant technologies. Keywords: aging population; ICT solutions; cloud computing, healthcare informatics. Biographical notes: Shah Jahan Miah is a faculty member of Information Systems (IS) at Victoria University, Melbourne Australia. Prior to this position, he had academic positions at the University of the Sunshine Coast, Griffith University and James Cook University, Australia. He has received his PhD (in the area of decision support systems), jointly from the Institute for Integrated and Intelligent Systems and Griffith Business School, Griffith University, Australia. He is an early career researcher who has lead authored over 50 peer reviewed publications including research book chapters, journal and conference papers in different IS areas and taught over 20 different IS/IT subjects for both postgraduate and undergraduate levels. His current research interests are decision support systems for industries, design science research methodologies, e-service design for businesses and healthcare information systems development. Reference Information and communication technology-based innovations 2
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