ORCID Profile
0000-0002-3783-8769
Current Organisation
University of Newcastle Australia
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Publisher: JMIR Publications Inc.
Date: 27-10-2018
Abstract: racticing evidence-based health care is challenging because of overwhelming results presented to practitioners by Google-like Web-scale discovery (WSD) services that index millions of resources while retrieving information based on relevancy algorithms with limited consideration for user information need. n the basis of the user-oriented theory of information need and following design science principles, this study aimed to develop and evaluate an innovative contextual model for information retrieval from WSD services to improve evidence-based practice (EBP) by health care practitioners. e identified problems from literature to support real-world requirements for this study. We used design science research methodology to guide artefact design. We iteratively improved prototype of the context model using artificial formative evaluation. We performed naturalistic summative evaluation using convergent interviewing of health care practitioners and content analysis from a confirmatory focus group consisting of health researchers to evaluate the model’s validity and utility. he study iteratively designed and applied the context model to a WSD service to meet 5 identified requirements. All 5 health care practitioners interviewed found the artefact satisfied the 5 requirements to successfully evaluate the model as having validity and utility. Content analysis results from the confirmatory focus group mapped top 5 descriptors per requirement to support a true hypothesis that there is significant discussion among participants to justify concluding that the artefact had validity and utility. he context model for WSD satisfied all requirements and was evaluated successfully for information retrieval to improve EBP. Outcomes from this study justify further research into the model.
Publisher: SAGE Publications
Date: 19-10-2021
DOI: 10.1177/02666669211049492
Abstract: Designing effective methods of retrieving evidence-based clinical information for healthcare professionals’ decision making have always been challenging tasks for researchers in this field. Relevant existing studies have indicated significant limitations of implementing context-sensitive information retrieval services in healthcare organizations, but attempts are yet at their emergent stage for designing research-based solutions. In this paper, we design a new information retrieval architecture as a solution artifact useful in healthcare organizations for improving their information retrieval practices. Under the design science research paradigm, we outline a combined methodology that comprises design science research, design thinking and systems thinking for operating an iterative guiding process for developing and evaluating the new information retrieval approach. A total of 13 requirements that are linked to user-oriented theory of information need and fitness-utility model are captured. The new architecture is evaluated for its usefulness and fitness-utility using multi-case in-depth interviews that satisfy formalizing prescriptive knowledge on information retrieval.
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 12-2017
Publisher: Springer Science and Business Media LLC
Date: 12-02-2021
Publisher: American Society of Tropical Medicine and Hygiene
Date: 09-12-2015
Publisher: SAGE Publications
Date: 25-10-2021
DOI: 10.1177/02666669211049498
Abstract: The study focuses on usability provisions of learning management systems (LMS) in a corrective service organization. Under the influence of goal-directed interaction design principles in design science, the study outlines a new innovative artifact as a conceptual LMS solution that addresses the employee-centric learning model. The collective artifact represents relevant design knowledge assistive to meeting stakeholders’ contextual learning needs, for instance, demonstrating the potential significance of the developed mobile-based approach to support correctional officers in improving their learning on safety professional development. The paper concludes with a practical model that could be applied to assist correctional officers in their in-house training purposes.
Publisher: Elsevier BV
Date: 06-2017
Publisher: IGI Global
Date: 2012
DOI: 10.4018/978-1-4666-1830-5.CH004
Abstract: Computational Intelligence (CI) has become a well-established research field of computer science in which multi-disciplinary problems are studied to design an effective computing solution. As a known computer-based CI approach, decision support systems (DSS) has gained popularity as a computing solution to structured and unstructured problems in organizations’ managerial improvement. DSS design needs to meet the domain-specific demands of emergency professionals on both an on-site and a real-time basis using the support of the most up-to-date technological provisioning platform. The advantages of cloud computing may offer promising support (e.g. Internet or web-based provisioning) for DSS services to meet the emergency professionals’ decision needs. This chapter introduces requirements of a cloud-based CI approach for domain-specific decision support through the functionalities on an anywhere and anytime basis. The chapter highlights the context of intelligent DSS design in terms of support in determining the priorities of taking action, both for medical emergency professionals and natural disasters workers, as potential application areas identified in this study.
Publisher: Australian Journal of Information Systems
Date: 12-02-2019
Abstract: This paper presents a contemporary literature review to provide insights into the current health informatics literature. The objective of this study is to identify emerging directions of current health informatics research from the latest and existing studies in the health informatics domain. We analyse existing health informatics studies using a thematic analysis, so that justified sets of research agenda can be outlined on the basis of these findings. We selected articles that are published in the science direct online database. The selected 73 s le articles (published from 2014 to 2018 in premier health informatics journals) are considered as representative s les of health informatics studies. The analysis revealed ten topic areas and themes that would be of paramount importance for researchers and practitioners to follow. The findings provide an important foundational understanding for new health informatics studies.
Publisher: Inderscience Publishers
Date: 2013
Publisher: Elsevier BV
Date: 08-2020
Publisher: Springer Science and Business Media LLC
Date: 12-2021
DOI: 10.1186/S40537-021-00543-6
Abstract: Big Data Analytics (BDA) usage in the industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision-making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in the organizational domain. Big Data has been defined in various ways and, the past literature about the classification of BDA and its capabilities is explored in this research. We conducted a literature review using PRISMA methodology and integrated a thematic analysis using NVIVO12. By adopting five steps of the PRISMA framework—70 s le articles, we generate five themes, which are informed through organization development theory, and develop a novel empirical research model, which we submit for validity assessment. Our findings improve effectiveness and enhance the usage of BDA applications in various Organizations.
Publisher: IGI Global
Date: 2019
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 02-2008
Publisher: Informa UK Limited
Date: 16-07-2021
Publisher: Wiley
Date: 12-07-2022
DOI: 10.1002/ASI.24550
Abstract: Understanding how people engage in daily activities within a region can provide valuable information for smart city planners and strategic partners to use to assist in their decision‐making processes. Such insights may relate to economic activities, sustainable city design, environmental impacts, and responses to climate change, contributing to the improvement in the quality of human life. Considerable attention is recently directed towards smart city initiatives that benefit majority of people, rather than projects that cater to the political, architectural, or vanity needs of a minority. However, understanding citizen requirements, behaviors, and opinions is difficult, and requires the use of technology and appropriate information sources. While social‐media big data have provided opportunities to develop evidence‐based insights into human daily activities, effective analytical methods to harness these opportunities remain in development. We propose a new analytical method to provide a deeper understanding of citizen activities by constructing building blocks in their activity storylines, with analysis of these storylines providing evidence‐based insights into their activities. Results demonstrate the usefulness of our method to smart city planners and strategic partners, providing invaluable insights to assist them in making decisions regarding sustainable smart city development.
Publisher: Informa UK Limited
Date: 30-06-2020
Publisher: Springer Science and Business Media LLC
Date: 31-05-2020
Publisher: Research Square Platform LLC
Date: 04-01-2022
DOI: 10.21203/RS.3.RS-1090813/V1
Abstract: Big data analytics utilizes different analytics techniques to transform large volume and ersified big dataset. The analytics uses various computational methods such as different Machine Learning (ML) in convert raw data to valuable insights. The ML assist in iduals to perform work activities quicker and better, and empower decision-makers in system use. Since academics and industry practitioners have growing interests on ML, how different applications of ML in specific problem domains have been explored, but not in a holistic manner from the past literature. This paper aims to promote the utilization of intelligent literature review for researchers by introducing a step-by-step framework on a case providing the code template. We offer an intelligent literature review to obtain in-depth analytical insight of ML applications in the clinical domain to: a) develop the intelligent literature framework using traditional literature and Latent Dirichlet Allocation (LDA) topic modeling, b) analyze research documents using traditional systematic literature review revealing ML applications, and c) identify topics from documents using LDA topic modeling. We used a PRISMA framework for the traditional literature review, reviewed four databases (e.g. IEEE, PubMed, Scopus, and Google Scholar), which are published between 2016 and 2021 (September). The framework comprises two stages – Traditional systematic literature review and LDA topic modeling. The intelligent literature review framework reviewed 305 research documents in a transparent, reliable, and faster way.
Publisher: Springer Science and Business Media LLC
Date: 08-08-2020
Publisher: Australian Journal of Information Systems
Date: 26-06-2014
Publisher: Springer Science and Business Media LLC
Date: 16-06-2022
DOI: 10.1007/S13278-022-00894-9
Abstract: Recent studies report doubling numbers of deaths due to dementia. With such an escalating mortality rate related to cognitive decline diseases, like dementia, timely information on contributing factors and knowledge discovery from evidence-based repositories is warranted. A large amount of scholarly knowledge extracted from research findings on dementia can be understood only using human intelligence for arriving at quality inferences. Due to the unstructured data presented in such a massive dataset of scientific articles available online, gaining insights from the knowledge hidden in the literature is complex and time-consuming. Hence, there is a need for developing a knowledge management model to create, query and maintain a knowledge repository of key elements and their relationships extracted from scholarly articles in a structured manner. In this paper, an innovative knowledge discovery computing model to process key findings from unstructured data from scholarly articles by using the design science research (DSR) methodology is proposed. The solution caters to a novel composition of the cognitive script of crucial knowledge related to dementia and its subsequent transformation from unstructured into a structured format using graph-based next-generation infrastructures. The computing model contains three phases to assist the research community to have a better understanding of the related knowledge in the existing unstructured research articles: (i) article collection and construction of cognitive script, (ii) generation of Cypher statements (a knowledge graph query language) and (iii) creation of graph-based repository and visualization. The performance of the computing model is demonstrated by visualizing the outcome of various search criteria in the form of nodes and their relationships. Our results also demonstrate the effectiveness of visual query and navigation highlighting its usability.
Publisher: IEEE
Date: 05-2011
Publisher: Elsevier BV
Date: 09-2017
Publisher: IEEE
Date: 2009
DOI: 10.1109/SKG.2009.96
Publisher: IEEE
Date: 10-2007
DOI: 10.1109/SKG.2007.117
Publisher: Informa UK Limited
Date: 31-08-2021
Publisher: Association for Information Systems
Date: 2019
DOI: 10.17705/1JAIS.00544
Publisher: IGI Global
Date: 2018
DOI: 10.4018/978-1-5225-5718-0.CH007
Abstract: The polarization of global labor 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 organizational decision makers to rethink on the management of work. Knowledge management (KM) is understood to encourage content management, collaboration with inclusion of organizational behavioral science, and of course technologies. Complementing BI with knowledge management (KM) system in an organization can account for lean and accelerated performance. In this chapter, the authors present their 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.
Publisher: Springer Science and Business Media LLC
Date: 08-11-2022
Publisher: IEEE
Date: 11-2014
Publisher: IGI Global
Date: 2017
DOI: 10.4018/978-1-5225-3926-1.CH048
Abstract: Technology development for process enhancement has been a topic to many health organizations and researchers over the past decades. In particular, on decision support aids of healthcare professional, studies suggest paramount interests for developing technological intervention to provide better decision-support options. This chapter introduces a combined requirement of developing intelligent decision-support approach through the application of business intelligence and cloud-based functionalities. Both technological approaches demonstrate their usage to meet growing end users' demands through their innovative features in healthcare. As such, the main emphasis in the chapter goes after outlining a conceptual approach of demand-driven cloud-based business intelligence for meeting the decision-support needs in a hypothetical problem domain in the healthcare industry, focusing on the decision-support system development within a non-clinical context for in idual end-users or patients who need decision support for their well-being and independent everyday living.
Publisher: Australian Journal of Information Systems
Date: 27-06-2018
Abstract: The Internet of things (IoT) is a next generation of Internet connected embedded ICT systems in a digital environment to seamlessly integrate supply chain and logistics processes. Integrating emerging IoT into the current ICT systems can be unique because of its intelligence, autonomous and pervasive applications. However, research on the IoT adoption in supply chain domain is scarce and acceptance of the IoT into the retail services in specific has been overly rhetoric. This study is drawn upon the organisational capability theory for developing an empirical model considering the effect of IoT capabilities on multiple dimensions of supply chain process integration, and in turn improves supply chain performance as well as organisational performance. Cross-sectional survey data from 227 Australian retail firms was analysed using structural equation modelling (SEM). The results indicate that IoT capability has a positive and significant effect on internal, customer-, and supplier-related process integration that in turn positively affects supply chain performance and organisational performance. Theoretically, the study contributes to a body of knowledge that integrates information systems research into supply chain integration by establishing an empirical evidence of how IoT-enabled process integration can enhance the performance at both supply chain and organisational level. Practically, the results inform the managers of the likely investment on IoT that can lead to chain’s performance outcome.
Publisher: JMIR Publications Inc.
Date: 18-09-2019
Abstract: atient participation in the health care domain has surged dramatically through the availability of digital health platforms and online health communities (OHCs). Such patient-driven service innovation has both potential and challenges for health care organizations. Over the last 5 years, articles have surfaced that focus on value cocreation in health care services and the importance of engaging patients and other actors in service delivery. However, a theoretical understanding of how to use OHCs for this purpose is still underdeveloped within the health care service ecosystem. his paper aimed to introduce a theoretical discussion for better understanding of the potential of OHCs for health care organizations, in particular, for patient empowerment. his literature review study involved a comprehensive search using 12 electronic databases (EMBASE, PsycINFO, Web of Science, Scopus, ScienceDirect, Medical Literature Analysis and Retrieval System Online, PubMed, Elton B Stephens Co [academic], Cumulative Index of Nursing and Allied Health Literature, Accelerated Information Sharing for Law Enforcement, Association for Computing Machinery, and Google Scholar) from 2013 to 2019. A total of 1388 studies were identified from the database search. After removing duplicates and applying inclusion criteria, we thematically analyzed 56 articles using the Braun and Clarke thematic analysis approach. e identified a list of 5 salient themes: i communication extension, improved health literacy for patients and health care organizations, communication transparency with patients, informational and social support for patients, and patient empowerment in self-management /i . The most frequent theme was communication extension, which covers 39% (22/56) of the literature. This theme reported that an extension of communication between patients, caregivers, and physicians and organizations led to new opportunities to create value with minimal time and cost restrictions. Improved health literacy and communication transparency with patients were the second and third most frequent themes, respectively, covering 26% (15/56) and 25% (14/56) of the literature, respectively. The frequency of these themes indicated that the use of OHCs to generate new knowledge from patients’ interactions helped health care organizations to customize treatment plans and establish transparent and effective communication between health care organizations and patients. Furthermore, of the 56 studies, 13 (23%) and 10 (17%) studies contended the opportunity of using OHCs in terms of informational and emotional support and empowering patients in their self-management of diseases. his review enables better understanding of the current state of the art of the online value cocreation and its potential for health care organizations. This study found that the opportunities for health care organizations through enhancement of patient participation and their cocreation of value in digital health platforms have been rapidly increasing. The identified gaps and opportunities in this study would identify avenues for future directions in modernized and more effective value-oriented health care informatics research.
Publisher: Australian Journal of Information Systems
Date: 29-06-2020
Abstract: Research in Smart City development has been proliferated over the past few years, which focused heavily on various supporting service sectors, such as healthcare. However, little effort has been made to design health surveillance support systems, which is also important for the advancement of public healthcare monitoring as an essential smart city initiatives. From an information system (IS) design perspective, this paper introduces a social media-based health surveillance supporting method, which can automatically extricates relevant online posts for health symptom management and prediction. We describe and demonstrate an IS design approach in this paper for hay-fever prediction solution concept based on Twitter posts. This concept can be applicable to fully functional solution design by relevant practitioners in this field.
Publisher: Springer Science and Business Media LLC
Date: 15-02-2023
Publisher: IGI Global
Date: 2021
DOI: 10.4018/IJBIR.20210101.OA4
Abstract: The blood donation process is usually very safe, and blood donors are comfortable during the blood donation procedure however, blood donors occasionally experience various types of adverse reactions during or at the end of blood donation. Some of these reactions are very minor while blood donors sometimes experience serious reactions as well. This study aims to analyze the various types of adverse reactions experienced by the blood donors. The study conducts detailed analysis on a significant amount of real data collected through a blood organization in the southern part of the United States and provides the results regarding the frequency and types of adverse reactions based on multiple attributes such as age, gender, and donation type.
Publisher: Edward Elgar Publishing
Date: 20-06-2023
Publisher: Springer Science and Business Media LLC
Date: 26-06-2021
Publisher: Public Library of Science (PLoS)
Date: 24-03-2016
Publisher: Inderscience Publishers
Date: 2011
Publisher: Springer Science and Business Media LLC
Date: 24-09-2019
Publisher: Elsevier BV
Date: 12-2008
Publisher: Australian Journal of Information Systems
Date: 17-06-2019
Abstract: A short post publication review of a recent AJIS paper.
Publisher: Australian Journal of Information Systems
Date: 06-04-2020
Abstract: Knowledge gained from a Decision Support Systems (DSS) design should ideally be reusable by DSS designers and researchers. The majority of existing DSS research has mainly focused on empirical problem solving rather than on developing principles that could inform solution approaches for other user contexts. Design Science Research (DSR) has contributed to effective development of various innovative DSS artefacts and associated knowledge development, but there has been limited progress on new knowledge development from a practical problem context, going beyond product and process descriptions. For DSS applications such as Clinical Decision Support Systems (CDSS) design and development, relevant reusable prescriptive knowledge is of significance not only to understand mutability but also to extend application of theory across domains. In this paper, we develop new design knowledge abstracted from the approach taken in a representative case of innovative CDSS development, specified as an architecture and six design principles. The CDSS design artefact was initially designed for a specific clinical need is shown to be flexible for meeting demands of knowledge production both for diagnosis and treatment. It is argued that the proposed general strategy is applicable to designing CDSS artefacts in similar problem domains representing an important contribution of design knowledge both in DSS and DSR fields.
Publisher: Australian Journal of Information Systems
Date: 10-11-2016
Abstract: This paper presents a contemporary literature review of design science research (DSR) studies in the domain of decision support systems (DSS) development. The latest studies in the DSS design domain claim that DSR methodologies are the most popular design approach, but many details are still yet to be revealed for supporting this claim. In particular, it is important to thoroughly investigate the trends in either the form or deeper insights in use of DSR in this field. The aim of this study is to analyse the existing DSS design science studies to reveal insights into the use of DSR, so that we can outline research agenda for a special issue, based on findings of analysis. We selected articles (from 2005 to 2014) that were published in seven selected premier IS journals (ranked as A* in the ABDC journal ranking). The selected 57 s le articles are representative of DSS design studies that used DSR in theorising, designing, implementing, and evaluating DSS solutions. We discuss the theoretical positions of DSR for DSS development through six categories: DSS artefacts, DSR methods, DSR views, user involvement, DSS design innovations and problem domains. The findings indicate that new studies are needed to fill the knowledge gap in DSS design science, for more solid theoretical basis in near future.
Publisher: IGI Global
Date: 04-2013
Abstract: Electronic Government (e-Government) has been considered as an essential strategy for many governments in their efforts to ensure qualities of participatory good governance. Various e-Government applications have been recognised as effective methods of enhancing governance qualities, such as accountability, transparency, collaboration and trust. However, previous studies that focused on participatory good governance are so far limited, especially in bringing an e-Government solution strategy using a bottom-up approach. Using a qualitative case study1 this paper identifies a participation gap in achieving participatory good governance and aims to address this gap through an e-Government approach in rural sector of a developing country. The outcomes of the study demonstrate that e-Government strategy can play a significant role to address the participation-gap in implementing qualities of good governance.
Publisher: Springer Science and Business Media LLC
Date: 28-05-2019
Publisher: IEEE
Date: 12-2015
Publisher: Elsevier BV
Date: 2009
Publisher: Springer Science and Business Media LLC
Date: 26-07-2021
Publisher: Springer Science and Business Media LLC
Date: 10-2021
Publisher: Springer Science and Business Media LLC
Date: 15-09-2021
DOI: 10.1186/S40537-021-00511-0
Abstract: In this research various concepts from network theory and topic modelling are combined, to provision a temporal network of associated topics. This solution is presented as a step-by-step process to facilitate the evaluation of latent topics from unstructured text, as well as the domain area that textual documents are sourced from. In addition to ensuring shifts and changes in the structural properties of a given corpus are visible, non-stationary classes of cooccurring topics are determined, and trends in topic prevalence, positioning, and association patterns are evaluated over time. The aforementioned capabilities extend the insights fostered from stand-alone topic modelling outputs, by ensuring latent topics are not only identified and summarized, but more systematically interpreted, analysed, and explained, in a transparent and reliable way.
Publisher: Springer Singapore
Date: 17-09-2021
Publisher: Emerald
Date: 10-09-2018
Abstract: Theorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored. Using cross-sectional survey data collected from a s le of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model. Results show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance. Recognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability. This research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technology per se , and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.
Publisher: The Korean Society of Medical Informatics
Date: 2019
Publisher: Springer Science and Business Media LLC
Date: 21-05-2020
Publisher: Springer Science and Business Media LLC
Date: 07-07-2021
Publisher: IEEE
Date: 04-2010
Publisher: Emerald
Date: 19-10-2015
Abstract: – This study aims to describe an assessment methodology of e-Government readiness through an empirical study that investigates collaborative needs in operating effective governance at root-level public service delivery in a developing country context. Broader methodology that accommodates collective functions of the government should be used while assessing the readiness of e-Government implementation. – The study is based on interview data collected from a total of 13 government officials, 21 elected representatives and 106 targeted citizens in the local government of Bangladesh. – Through a qualitative case study, this paper empirically investigated a proposition of e-Government readiness within local government cases. The findings of the study may help rectify existing assessment methodologies in e-Government implementation. – The data analysis used a collaborative perspective subjectively rather than focusing on the objective manner to capture technological aspects. – This finding could benefit various e-Government initiatives in developing countries, especially for addressing critical collaborative needs of e-Government implementation. – The findings of the paper represent social perspectives of new e-Government system implementation. – The study proposed a holistic methodology of e-Government readiness assessment that can broaden existing assessment methodologies.
Publisher: IEEE
Date: 06-2009
Publisher: Springer Science and Business Media LLC
Date: 04-02-2020
Publisher: IEEE
Date: 06-2009
Publisher: Emerald
Date: 12-10-2021
Abstract: Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of data generated from student interaction with learning management systems (LMSs) in blended learning (BL) environments may assist with the identification of students at risk of failing, but to what extent this may be possible is unknown. However, existing studies are limited to address the issues at a significant scale. This study develops a new approach harnessing applications of machine learning (ML) models on a dataset, that is publicly available, relevant to student attrition to identify potential students at risk. The dataset consists of the data generated by the interaction of students with LMS for their BL environment. Identifying students at risk through an innovative approach will promote timely intervention in the learning process, such as for improving student academic progress. To evaluate the performance of the proposed approach, the accuracy is compared with other representational ML methods. The best ML algorithm random forest with 85% is selected to support educators in implementing various pedagogical practices to improve students’ learning.
Publisher: Association for Information Systems
Date: 2021
DOI: 10.17705/1PAIS.13307
Publisher: Springer Science and Business Media LLC
Date: 11-10-2022
Publisher: Association for Information Systems
Date: 2021
DOI: 10.17705/1PAIS.13305
Publisher: Association for Information Systems
Date: 2021
DOI: 10.17705/1PAIS.13306
Publisher: Springer Science and Business Media LLC
Date: 20-06-2023
DOI: 10.1007/S40558-023-00254-Z
Abstract: The aim of this research is to assess the reliability of venue check-in data. We focus on resident mobility and assess how venue check-in data can provide valuable insights into residents’ movement in tourist destinations. Understanding resident’s mobility and related activities is necessary for strategic planning and decision making for destination managers. Venue-referenced social media data (VR-SMD) is a new type of data and can provide insights into resident’s mobility and behavior. While VR-SMD is available on various social media platforms, their reliability to capture resident movement and activities has not been fully realized. We present an analytical approach to assess and demonstrate how VR-SMD, specifically venue check-in data, can be used to capture resident mobility and activities, with illustrative ex les from the United States of America, United Kingdom, and Singapore. Results and analysis indicate that tourism managers and government organizations can exploit VR-SMD for domestic tourism development.
Publisher: IEEE
Date: 12-2017
Publisher: OSCM Forum
Date: 09-01-2021
DOI: 10.31387/OSCM0450293
Publisher: SAGE Publications
Date: 23-06-2021
DOI: 10.1177/02666669211025076
Abstract: Applications of clinical decision support systems (CDSS) have become essential for physicians seeking to make appropriate decisions. The implementation of CDSS, however, is complicated if the factors affecting physician’s acceptance are not recognised. This study aims to explore the various factors that may influence the acceptance of CDSS in Saudi Arabia. A qualitative method was used to collect data from interviews with 54 GPs, with interviews conducted in three stages. The study then integrated the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-Technology Fit (TTF) models to communicate the findings. It is suggested that all factors of both UTAUT and TTF influence acceptance of CDSS by GPs, with the sole exception of the social influence factor. Some additional factors were also discovered by means of in-depth interviews, including accessibility, patient satisfaction, informativeness (increased knowledge), connectedness (informing patients), communication and shared knowledge, privacy and security, and perceived risk (functional performance risk and time risk). The study thus offers a new insight of the factors influencing GPs’ acceptance of CDSS.
Publisher: Informa UK Limited
Date: 06-05-2019
Publisher: Oxford University Press (OUP)
Date: 08-2006
Publisher: JMIR Publications Inc.
Date: 21-08-2019
DOI: 10.2196/12621
Abstract: Practicing evidence-based health care is challenging because of overwhelming results presented to practitioners by Google-like Web-scale discovery (WSD) services that index millions of resources while retrieving information based on relevancy algorithms with limited consideration for user information need. On the basis of the user-oriented theory of information need and following design science principles, this study aimed to develop and evaluate an innovative contextual model for information retrieval from WSD services to improve evidence-based practice (EBP) by health care practitioners. We identified problems from literature to support real-world requirements for this study. We used design science research methodology to guide artefact design. We iteratively improved prototype of the context model using artificial formative evaluation. We performed naturalistic summative evaluation using convergent interviewing of health care practitioners and content analysis from a confirmatory focus group consisting of health researchers to evaluate the model’s validity and utility. The study iteratively designed and applied the context model to a WSD service to meet 5 identified requirements. All 5 health care practitioners interviewed found the artefact satisfied the 5 requirements to successfully evaluate the model as having validity and utility. Content analysis results from the confirmatory focus group mapped top 5 descriptors per requirement to support a true hypothesis that there is significant discussion among participants to justify concluding that the artefact had validity and utility. The context model for WSD satisfied all requirements and was evaluated successfully for information retrieval to improve EBP. Outcomes from this study justify further research into the model.
Publisher: IGI Global
Date: 2018
Abstract: This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilised various methods to design of information systems (IS) artefact, mostly intended for large businesses. Researchers have paid much attention to the business environment as a knowledge source for DSS design and development for the small business strategic decision support needs. User-centred design (UCD) principles were adopted for DSS development. Prior a novel DSS development, multiple case studies were carried out for understanding the user needs and system requirements. Also, knowledge was sourced from the external business environment via the analysis of small business website features against their overseas competitors. The findings suggested developing a DSS solution for small business needs.
Publisher: Public Library of Science (PLoS)
Date: 05-07-2011
Publisher: Australian Journal of Information Systems
Date: 15-07-2019
Abstract: Blockchain is treated as a ledger system that manages data and their transactions using time-st ed blocks through cryptography and works in a decentralised manner over the computing network. Although blockchain is originally used as a backbone for the cryptocurrency, Bitcoin, its capabilities and applications have yet to be extended far beyond cryptocurrencies. In this paper, through conducting a latest systematic literature review aiming to produce new source of evidence, we identify potential applications of the blockchain technologies in healthcare. The comprehensive review looks at the professional and academic open-sourced journals published between 2008 to 2019 to recognise the potential of blockchain based approaches in the purpose of healthcare information disseminations, as well as to segregate issues for the implementation and development of blockchain applications. We identify several major application domains that present research opportunities and challenges for the future advancements and directions for the benefits of IS researchers and professionals.
Publisher: Elsevier BV
Date: 09-2017
Publisher: IGI Global
Date: 2019
DOI: 10.4018/978-1-5225-5718-0.CH013
Abstract: The 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.
Publisher: IGI Global
Date: 2019
DOI: 10.4018/978-1-5225-5718-0.CH014
Abstract: This 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.
Publisher: IGI Global
Date: 07-2012
Abstract: This paper describes a new conceptual approach of e-government application development in which end users such as government managers, responsible officials and citizens at different levels can engage in effective service delivery, particularly in the agricultural sector. This approach provides end-user specific customizable provisions in which responsible government officials can design public services for the target end-user groups/local citizens such as primary producers. In the G2C (Government to Citizen) dimension, the author focuses on a hypothetical case of an e-government solution that provides various agricultural extension services such as training, awareness, consultation services, and knowledge sharing services provision, according to in idual or farming requirements. This initiative reinforces a shift from the traditional information portal process to a new provision where citizens rimary producers can actively contribute in designing their useful services from the relevant government agencies. This paper presents a generic process model and identifies the critical interplaying roles between the end-user groups. The study argues that the process model may be operationalized in various other government service sectors.
Publisher: World Scientific Pub Co Pte Ltd
Date: 03-2019
DOI: 10.1142/S0219649219500047
Abstract: Location analytics offers statistical analysis of any geo- or spatial data concerning user location. Such analytics can produce useful insights into the attractions of interest to travellers or visitation patterns of a demographic group. Based on these insights, strategic decision-making by travel marketing agents, such as travel package design, may be improved. In this paper, we develop and evaluate an original method of location analytics to analyse travellers’ social media data for improving managerial decision support. The method proposes an architectural framework that combines emerging pattern data mining techniques with image processing to identify and process appropriate data content. The design artefact is evaluated through a focus group and a detailed case study of Australian outbound travellers. The proposed method is generic, and can be applied to other specific locations or demographics to provide analytical outcomes useful for strategic decision support.
Publisher: Springer Science and Business Media LLC
Date: 28-07-2016
Publisher: IEEE
Date: 12-2017
Publisher: Elsevier BV
Date: 2014
Publisher: Australian Journal of Information Systems
Date: 12-02-2019
Abstract: Mental health is an important determinant of communities’ well-being, influenced not only by in idual attributes, but also by social and organisational environments in which people work and live. Despite studies examining mental health status among specific populations, few attempts are evident that focus on solution designs for detecting and measuring impact of mental health conditions. In this study, we develop a construct utilising design science research principles for outlining common vocabulary around the problem, and solution design relevant to a mental health management system. For the case of IT professionals, the developed construct is informed through a social-media based dataset containing more than 65,000 cells and 100 attributes potentially identifying influencing factors. Machine learning techniques are applied to the dataset to discover new findings for this specific group. It is anticipated that the analysis reported in this study would contribute in developing other electronic health management systems both for communities and healthcare professionals.
Publisher: SAGE Publications
Date: 26-12-2020
Abstract: Healthcare analytics has been a rapidly emerging research domain in recent years. In general, healthcare solution design studies focus on developing analytic solutions that enhance product, process and practice values for clinical and non-clinical decision support. The objective of this study is to explore the scope of healthcare analytics research and in particular its utilisation of design and development methodologies. Using six prominent electronic databases, qualifying articles between 2010 and mid-2018 were sourced and categorised. A total of 52 articles on healthcare analytics solutions were selected for relevant content on public healthcare. The research team scrutinised the articles, using established content analysis protocols. Analysis identified that various methodologies have been used for developing analytics solutions, such as prototyping, traditional software engineering, agile approaches and others, but despite its clear advantages, few show the use of design science. Key topic areas are also identified throughout the content analysis suggesting topical research priorities in the field.
Publisher: IEEE
Date: 12-2017
Publisher: Informa UK Limited
Date: 02-03-2022
Publisher: Springer Science and Business Media LLC
Date: 29-01-2020
Publisher: JMIR Publications Inc.
Date: 30-05-2022
Abstract: linicians rely on their health organization’s knowledge services for clinical information retrieval however studies identified barriers or pain points that prevent them from accessing research from resource providers. ur study objective is to develop a feasible implementation design theory for health organizations to remove barriers to evidence-based clinical information retrieval, and improve Evidence-Based Practice, specifically the research evidence component. iterature from 2010 to 2020 was reviewed to define problems or pain points in evidence-based clinical information retrieval. Recommendations from literature are used to define purpose and scope. Design Science Research is used to complete three projects in a research stream, with the solutions evaluated iteratively and incrementally. Cloud services such as Web-Scale Discovery, Content Management System, Federated Access, Global Knowledgebase, and Document Delivery are unified as a holistic solution and evaluated using case studies by conducting in depth interviews with health sciences information managers. Frameworks and theories such as design thinking, systems thinking, and user-oriented theory of information need are adopted to construct a design theory. natomy of a design theory is presented by developing its eight structural components to generalize results from the research stream as mature knowledge. The holistic solution’s implementation feasibility is evaluated as testable propositions to remove barriers to clinical information retrieval esign theory provides practical knowledge for health sciences information managers to source existing components and integrate them as a holistic solution at their health organizations. Design theory also contributes to academic knowledge by addressing pain points and ‘call to action’ identified during literature review.
Publisher: arXiv
Date: 2022
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-5884-4.CH015
Abstract: Technology development for process enhancement has been a topic to many health organizations and researchers over the past decades. In particular, on decision support aids of healthcare professional, studies suggest paramount interests for developing technological intervention to provide better decision-support options. This chapter introduces a combined requirement of developing intelligent decision-support approach through the application of business intelligence and cloud-based functionalities. Both technological approaches demonstrate their usage to meet growing end users' demands through their innovative features in healthcare. As such, the main emphasis in the chapter goes after outlining a conceptual approach of demand-driven cloud-based business intelligence for meeting the decision-support needs in a hypothetical problem domain in the healthcare industry, focusing on the decision-support system development within a non-clinical context for in idual end-users or patients who need decision support for their well-being and independent everyday living.
Publisher: IGI Global
Date: 2011
DOI: 10.4018/978-1-60566-806-2.CH007
Abstract: Web 2.0 is a new way of using existing Web resources interactively, and has attracted growing interest from the Web community, and more recently from businesses. However, there are emerging issues associated with security with the use of Web 2.0. This chapter provides an overview of Web 2.0 and outlines the security issues with Mashups and other applications within the Web 2.0 environment.
Publisher: Australian Journal of Information Systems
Date: 10-11-2016
Abstract: The knowledge of design science research (DSR) can have applications for improving expert systems (ES) development research. Although significant progress of utilising DSR has been observed in particular information systems design – such as decision support systems (DSS) studies – only rare attempts can be found in the ES design literature. Therefore, the aim of this study is to investigate the use of DSR for ES design. First, we explore the ES development literature to reveal the presence of DSR as a research methodology. For this, we select relevant literature criteria and apply a qualitative content analysis in order to generate themes inductively to match the DSR components. Second, utilising the findings of the comparison, we determine a new DSR approach for designing a specific ES that is guided by another result – the findings of a content analysis of examination scripts in Mathematics. The specific ES artefact for a case demonstration is designed for addressing the requirement of a ‘wicked’ problem in that the key purpose is to assist human assessors when evaluating multi-step question (MSQ) solutions. It is anticipated that the proposed design knowledge, in terms of both problem class and functions of ES artefacts, will help ES designers and researchers to address similar issues for designing information system solutions.
Publisher: IGI Global
Date: 07-2018
Abstract: Business intelligence (BI) has proliferated due to its growing application for business decision support. Research on organizational factors may offer significant use in BI implementation. However, a limited number of studies focus on organizational factors for revealing adverse impacts on effective decision support. The aim of this theoretical study is to conduct a literature analysis to identify organizational factors relevant to BI implementation. Through a systematic literature review, a qualitative content analysis on 49 relevant s le articles for generating themes inductively is adopted to reveal organizational factors. Findings suggest two contexts: information management that integrates factors such as technological capability and personnel capability and organizational context that integrates factors such as organizational capability, managerial decision, and organizational culture for facilitating embedding information management capability for BI implementation in businesses. It is hoped that these contextual understanding can be useful for further BI implementations.
Publisher: SAGE Publications
Date: 17-12-2021
DOI: 10.1177/02666669211064114
Abstract: The Internet of Things (IoT) enabled technologies to have proliferated due to their abilities to capture and exchange quality information. This empirical study aims to investigate the factors influencing the intention to use IoT services in healthcare by young physicians. An integrated model based on the theory of planned behaviour (TPB) and diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modelling (SEM) with importance-performance map analysis (IPMA). Data were collected through a structured survey questionnaire. The results indicated that behavioural intention to use IoT in healthcare services vastly affected by the attitude and value co-creation. Attitude was found to be a principal determinant followed by the relative advantage towards behavioural intention to use IoT services. The novelty of this empirical study is that the proposed integrated model provides a meaningful application of the young physicians’ intention to use IoT in healthcare in developing countries.
Publisher: Springer Science and Business Media LLC
Date: 09-01-2022
Publisher: Emerald
Date: 11-03-2021
DOI: 10.1108/IJLM-07-2020-0282
Abstract: Technologies continue to disrupt logistics and freight transport (known as smart logistics), but their impacts on smart city sustainability is underinvestigated. Drawing on technology, organisation and environment (TOE) perspective, the objective of this study is to empirically investigate the hierarchical effects of smart logistics on smart city sustainable dimensions (i.e. environmental, social and economic). The study used cross-sectional survey to collect data from urban transporters, warehouse managers, retailers and information technology (IT) managers in Australia. Data were analysed using structural equation modeling (SEM) to test the hypothesised relationship between constructs of smart logistics and smart city sustainable performance. The findings reveal that information and communications technologies (ICTs) use and IT capability (ITC) have positive and significant effects on smart logistics. Technology-enabled smart logistics have an immediate positive effect on smart city environment, which in turn has positive impacts on social and economic performance. The study informs managers that smart logistics equipped with freight transport telematics can improve smart city environment through enhanced tracking and tracing of goods movement. The improved environmental stewardship is likely to support social and economic performance. Smart city research remains primarily theoretical and focussed on concerns surrounding sustainable growth amid urbanisation and digitalisation. City logistics and urban freights play key role in smart city economic growth, but vehicular pollution pose social and environmental challenges. Technology-assisted smart logistics are likely to improve smart city sustainable performance but yet to find how they affect each other.
Publisher: Emerald
Date: 29-07-2014
Abstract: – The knowledge of artefact design in design science research can have an important application in the improvement of decision support systems (DSS) development research. Recent DSS literature has identified a significant need to develop user-centric DSS method for greater relevance with respect to context of use. The purpose of this paper is to develop a collective DSS design artefact as method in a practical industry context. – Under the influence of goal-directed interaction design principles the study outlines the innovative DSS artefact based on design science methodology to deliver a cutting-edge decision support solution, which provides user-centric provisions through the use of design environment and ontology techniques. – The DSS artefact as collective information technology applications through the application of design science knowledge can effectively be designed to meet decision makers’ contextual needs in an agricultural industry context. – The study has limitations in that it was developed in a case study context and remains to be fully tested in a real business context. It is also assumed that the domain decisions can be parameterised and represented using a constraint programming language. – The paper concludes that the DSS artefact design and this development successfully overcomes some of the limitations of traditional DSS such as low-user uptake, system obsolescence, low returns on investment and a requirement for continual re-engineering effort. – The design artefact has the potential of increasing user uptake in an industry that has had relevancy problems with past DSS implementation and has experienced associated poor uptake. – The design science paradigm provides structural guidance throughout the defined process, helping ensure fidelity both to best industry knowledge and to changing user contexts.
Publisher: IEEE
Date: 12-2016
DOI: 10.1109/CIT.2016.115
Publisher: JMIR Publications Inc.
Date: 24-04-2020
DOI: 10.2196/16324
Abstract: Patient participation in the health care domain has surged dramatically through the availability of digital health platforms and online health communities (OHCs). Such patient-driven service innovation has both potential and challenges for health care organizations. Over the last 5 years, articles have surfaced that focus on value cocreation in health care services and the importance of engaging patients and other actors in service delivery. However, a theoretical understanding of how to use OHCs for this purpose is still underdeveloped within the health care service ecosystem. This paper aimed to introduce a theoretical discussion for better understanding of the potential of OHCs for health care organizations, in particular, for patient empowerment. This literature review study involved a comprehensive search using 12 electronic databases (EMBASE, PsycINFO, Web of Science, Scopus, ScienceDirect, Medical Literature Analysis and Retrieval System Online, PubMed, Elton B Stephens Co [academic], Cumulative Index of Nursing and Allied Health Literature, Accelerated Information Sharing for Law Enforcement, Association for Computing Machinery, and Google Scholar) from 2013 to 2019. A total of 1388 studies were identified from the database search. After removing duplicates and applying inclusion criteria, we thematically analyzed 56 articles using the Braun and Clarke thematic analysis approach. We identified a list of 5 salient themes: communication extension, improved health literacy for patients and health care organizations, communication transparency with patients, informational and social support for patients, and patient empowerment in self-management. The most frequent theme was communication extension, which covers 39% (22/56) of the literature. This theme reported that an extension of communication between patients, caregivers, and physicians and organizations led to new opportunities to create value with minimal time and cost restrictions. Improved health literacy and communication transparency with patients were the second and third most frequent themes, respectively, covering 26% (15/56) and 25% (14/56) of the literature, respectively. The frequency of these themes indicated that the use of OHCs to generate new knowledge from patients’ interactions helped health care organizations to customize treatment plans and establish transparent and effective communication between health care organizations and patients. Furthermore, of the 56 studies, 13 (23%) and 10 (17%) studies contended the opportunity of using OHCs in terms of informational and emotional support and empowering patients in their self-management of diseases. This review enables better understanding of the current state of the art of the online value cocreation and its potential for health care organizations. This study found that the opportunities for health care organizations through enhancement of patient participation and their cocreation of value in digital health platforms have been rapidly increasing. The identified gaps and opportunities in this study would identify avenues for future directions in modernized and more effective value-oriented health care informatics research.
Publisher: MDPI AG
Date: 04-01-2023
DOI: 10.3390/JRFM16010031
Abstract: AI (Artificial intelligence) has the potential to improve strategies to talent management by implementing advanced automated systems for workforce management. AI can make this improvement a reality. The objective of this study is to discover the new requirements for generating a new AI-oriented artefact so that the issues pertaining to talent management are effectively addressed. The design artefact is an intelligent Human Resource Management (HRM) automation solution for talent career management primarily based on a talent intelligent module. Improving connections between professional assessment and planning features is the key goal of this initiative. Utilising a design science methodology we investigate the use of organised machine learning approaches. This technique is the key component of a complete AI solution framework that would be further informed through a suggested moderation of technology-organisation-environment (TOE) theory with the theory of diffusion of innovation (DOI). This framework was devised in order solve AI-related problems. Aside from the automated components available in talent management solutions, this study will make recommendations for practical approaches researchers may follow to fulfil a company’s specific requirements for talent growth.
Publisher: Wiley
Date: 12-04-2023
DOI: 10.1002/JCPY.1349
Abstract: Given its multi‐faceted nature, consumer research has evinced interest from scholars both within and outside the marketing domain, resulting in ongoing knowledge contributions from a erse range of disciplines. We conduct a comprehensive review and comparison across both marketing (“inside”) and non‐marketing (“outside”) disciplines to identify which topics are most and least focused on within each disciplinary domain and which are emerging as the most impactful. We also identify which of the marketing (FT50) journals are at the forefront of cutting‐edge research and demonstrate their contributions to the progression of the most impactful topics in the field. Based on our findings, we identify key gaps and under‐researched areas of substantive interest, highlight impactful emerging topics in non‐marketing journals where marketing could offer unique perspectives, and provide concrete suggestions and directions to further progress and stimulate consumer research.
Publisher: Springer Science and Business Media LLC
Date: 28-04-2022
DOI: 10.1186/S40537-022-00605-3
Abstract: Big data analytics utilizes different techniques to transform large volumes of big datasets. The analytics techniques utilize various computational methods such as Machine Learning (ML) for converting raw data into valuable insights. The ML assists in iduals in performing work activities intelligently, which empowers decision-makers. Since academics and industry practitioners have growing interests in ML, various existing review studies have explored different applications of ML for enhancing knowledge about specific problem domains. However, in most of the cases existing studies suffer from the limitations of employing a holistic, automated approach. While several researchers developed various techniques to automate the systematic literature review process, they also seemed to lack transparency and guidance for future researchers. This research aims to promote the utilization of intelligent literature reviews for researchers by introducing a step-by-step automated framework. We offer an intelligent literature review to obtain in-depth analytical insight of ML applications in the clinical domain to (a) develop the intelligent literature framework using traditional literature and Latent Dirichlet Allocation (LDA) topic modeling, (b) analyze research documents using traditional systematic literature review revealing ML applications, and (c) identify topics from documents using LDA topic modeling. We used a PRISMA framework for the review to harness s les sourced from four major databases (e.g., IEEE, PubMed, Scopus, and Google Scholar) published between 2016 and 2021 (September). The framework comprises two stages—(a) traditional systematic literature review consisting of three stages (planning, conducting, and reporting) and (b) LDA topic modeling that consists of three steps (pre-processing, topic modeling, and post-processing). The intelligent literature review framework transparently and reliably reviewed 305 s le documents.
Publisher: Informa UK Limited
Date: 02-07-2016
Publisher: Elsevier BV
Date: 02-2017
No related grants have been discovered for Shah Jahan Miah.