An evaluation methodology for interactive reinforcement learning with simulated users
- Bignold, Adam, Cruz, Francisco, Dazeley, Richard, Vamplew, Peter, Foale, Cameron
- Authors: Bignold, Adam , Cruz, Francisco , Dazeley, Richard , Vamplew, Peter , Foale, Cameron
- Date: 2021
- Type: Text , Journal article
- Relation: Biomimetics Vol. 6, no. 1 (2021), p. 1-15
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- Description: Interactive reinforcement learning methods utilise an external information source to evaluate decisions and accelerate learning. Previous work has shown that human advice could significantly improve learning agents’ performance. When evaluating reinforcement learning algorithms, it is common to repeat experiments as parameters are altered or to gain a sufficient sample size. In this regard, to require human interaction every time an experiment is restarted is undesirable, particularly when the expense in doing so can be considerable. Additionally, reusing the same people for the experiment introduces bias, as they will learn the behaviour of the agent and the dynamics of the environment. This paper presents a methodology for evaluating interactive reinforcement learning agents by employing simulated users. Simulated users allow human knowledge, bias, and interaction to be simulated. The use of simulated users allows the development and testing of reinforcement learning agents, and can provide indicative results of agent performance under defined human constraints. While simulated users are no replacement for actual humans, they do offer an affordable and fast alternative for evaluative assisted agents. We introduce a method for performing a preliminary evaluation utilising simulated users to show how performance changes depending on the type of user assisting the agent. Moreover, we describe how human interaction may be simulated, and present an experiment illustrating the applicability of simulating users in evaluating agent performance when assisted by different types of trainers. Experimental results show that the use of this methodology allows for greater insight into the performance of interactive reinforcement learning agents when advised by different users. The use of simulated users with varying characteristics allows for evaluation of the impact of those characteristics on the behaviour of the learning agent. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Bignold, Adam , Cruz, Francisco , Dazeley, Richard , Vamplew, Peter , Foale, Cameron
- Date: 2021
- Type: Text , Journal article
- Relation: Biomimetics Vol. 6, no. 1 (2021), p. 1-15
- Full Text:
- Reviewed:
- Description: Interactive reinforcement learning methods utilise an external information source to evaluate decisions and accelerate learning. Previous work has shown that human advice could significantly improve learning agents’ performance. When evaluating reinforcement learning algorithms, it is common to repeat experiments as parameters are altered or to gain a sufficient sample size. In this regard, to require human interaction every time an experiment is restarted is undesirable, particularly when the expense in doing so can be considerable. Additionally, reusing the same people for the experiment introduces bias, as they will learn the behaviour of the agent and the dynamics of the environment. This paper presents a methodology for evaluating interactive reinforcement learning agents by employing simulated users. Simulated users allow human knowledge, bias, and interaction to be simulated. The use of simulated users allows the development and testing of reinforcement learning agents, and can provide indicative results of agent performance under defined human constraints. While simulated users are no replacement for actual humans, they do offer an affordable and fast alternative for evaluative assisted agents. We introduce a method for performing a preliminary evaluation utilising simulated users to show how performance changes depending on the type of user assisting the agent. Moreover, we describe how human interaction may be simulated, and present an experiment illustrating the applicability of simulating users in evaluating agent performance when assisted by different types of trainers. Experimental results show that the use of this methodology allows for greater insight into the performance of interactive reinforcement learning agents when advised by different users. The use of simulated users with varying characteristics allows for evaluation of the impact of those characteristics on the behaviour of the learning agent. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Enabling situational awareness of business processes
- Zhao, Xiaohui, Yongchareon, Sira, Cho, Nam-Wook
- Authors: Zhao, Xiaohui , Yongchareon, Sira , Cho, Nam-Wook
- Date: 2021
- Type: Text , Journal article
- Relation: Business Process Management Journal Vol. 27, no. 3 (2021), p. 779-795
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- Description: Purpose: The purpose of this research is to explore the ways of integrating situational awareness into business process management for the purpose of realising hyper automated business processes. Such business processes will help improve their customer experiences, enhance the reliability of service delivery and lower the operational cost for a more competitive and sustainable business. Design/methodology/approach: Ontology has been deployed to establish the context modelling method, and the event handling mechanisms are developed on the basis of event calculus. An approach on performance of the proposed approach has been evaluation by checking the cost savings from the simulation of a large number of business processes. Findings: In this research, the authors have formalised the context presentation for a business process with a focus on rules and entities to support context perception; proposed a system architecture to illustrate the structure and constitution of a supporting system for intelligent and situation aware business process management; developed real-time event elicitation and interpretation mechanisms to operationalise the perception of contextual dynamics and real-time responses; and evaluated the applicability of the proposed approaches and the performance improvement to business processes. Originality/value: This paper presents a framework covering process context modelling, system architecture and real-time event handling mechanisms to support situational awareness of business processes. The reported research is based on our previous work on radio frequency identification-enabled applications and context-aware business process management with substantial extension to process context modelling and process simulation. © 2021, Emerald Publishing Limited.
- Authors: Zhao, Xiaohui , Yongchareon, Sira , Cho, Nam-Wook
- Date: 2021
- Type: Text , Journal article
- Relation: Business Process Management Journal Vol. 27, no. 3 (2021), p. 779-795
- Full Text:
- Reviewed:
- Description: Purpose: The purpose of this research is to explore the ways of integrating situational awareness into business process management for the purpose of realising hyper automated business processes. Such business processes will help improve their customer experiences, enhance the reliability of service delivery and lower the operational cost for a more competitive and sustainable business. Design/methodology/approach: Ontology has been deployed to establish the context modelling method, and the event handling mechanisms are developed on the basis of event calculus. An approach on performance of the proposed approach has been evaluation by checking the cost savings from the simulation of a large number of business processes. Findings: In this research, the authors have formalised the context presentation for a business process with a focus on rules and entities to support context perception; proposed a system architecture to illustrate the structure and constitution of a supporting system for intelligent and situation aware business process management; developed real-time event elicitation and interpretation mechanisms to operationalise the perception of contextual dynamics and real-time responses; and evaluated the applicability of the proposed approaches and the performance improvement to business processes. Originality/value: This paper presents a framework covering process context modelling, system architecture and real-time event handling mechanisms to support situational awareness of business processes. The reported research is based on our previous work on radio frequency identification-enabled applications and context-aware business process management with substantial extension to process context modelling and process simulation. © 2021, Emerald Publishing Limited.
The spectrum of big data analytics
- Authors: Sun, Zhaohao , Huo, Yanxia
- Date: 2021
- Type: Text , Journal article
- Relation: Journal of Computer Information Systems Vol. 61, no. 2 (2021), p. 154-162
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- Description: Big data analytics is playing a pivotal role in big data, artificial intelligence, management, governance, and society with the dramatic development of big data, analytics, artificial intelligence. However, what is the spectrum of big data analytics and how to develop the spectrum are still a fundamental issue in the academic community. This article addresses these issues by presenting a big data derived small data approach. It then uses the proposed approach to analyze the top 150 profiles of Google Scholar, including big data analytics as one research field and proposes a spectrum of big data analytics. The spectrum of big data analytics mainly includes data mining, machine learning, data science and systems, artificial intelligence, distributed computing and systems, and cloud computing, taking into account degree of importance. The proposed approach and findings will generalize to other researchers and practitioners of big data analytics, machine learning, artificial intelligence, and data science. © 2019 International Association for Computer Information Systems.
- Authors: Sun, Zhaohao , Huo, Yanxia
- Date: 2021
- Type: Text , Journal article
- Relation: Journal of Computer Information Systems Vol. 61, no. 2 (2021), p. 154-162
- Full Text:
- Reviewed:
- Description: Big data analytics is playing a pivotal role in big data, artificial intelligence, management, governance, and society with the dramatic development of big data, analytics, artificial intelligence. However, what is the spectrum of big data analytics and how to develop the spectrum are still a fundamental issue in the academic community. This article addresses these issues by presenting a big data derived small data approach. It then uses the proposed approach to analyze the top 150 profiles of Google Scholar, including big data analytics as one research field and proposes a spectrum of big data analytics. The spectrum of big data analytics mainly includes data mining, machine learning, data science and systems, artificial intelligence, distributed computing and systems, and cloud computing, taking into account degree of importance. The proposed approach and findings will generalize to other researchers and practitioners of big data analytics, machine learning, artificial intelligence, and data science. © 2019 International Association for Computer Information Systems.
Differences in personality and the sharing of managerial tacit knowledge: an empirical analysis of public sector managers in Malaysia
- Abdul Manaf, Halimah, Harvey, William, Armstrong, Steven, Lawton, Alan
- Authors: Abdul Manaf, Halimah , Harvey, William , Armstrong, Steven , Lawton, Alan
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Knowledge Management Vol. 24, no. 5 (2020), p. 1177-1199
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- Description: Purpose: This study aims to identify differences in knowledge-sharing mechanisms and personality among expert, typical and novice managers within the Malaysian public sector. Strengthening knowledge sharing function is essential for enabling public institutions around the world to be more productive. Design/methodology/approach: This quantitative study involves 308 employees from management and professional groups within 98 local authorities in the Malaysian local government. Stratified random sampling techniques were used and the sampling frame comprised 1,000 staff using postal surveys. Data analyses were carried out using analysis of variance and correlations to test the research hypotheses. Findings: The findings reveal that expert managers are more proactive in sharing their knowledge, particularly those with the personality traits of conscientiousness and openness. These two personality traits were also related to expert behaviours such as thoroughness, responsibility and persistence, which led to work competency and managerial success. Originality/value: This study provides theoretical insights into how managerial tacit knowledge differs and can accumulate, depending on the personality traits of middle managers. The paper shows the different mechanisms of knowledge sharing, tacit knowledge and personality among expert, typical and novice managers. Practically, this study is important for guiding senior managers in their attempts to identify the most appropriate personalities of their middle managers. This study found that the expert group was higher in conscientiousness, openness and overall personality traits compared with the typical and novice groups. The paper also highlights the value of sharing managerial tacit knowledge effectively. © 2020, Emerald Publishing Limited.
- Authors: Abdul Manaf, Halimah , Harvey, William , Armstrong, Steven , Lawton, Alan
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Knowledge Management Vol. 24, no. 5 (2020), p. 1177-1199
- Full Text:
- Reviewed:
- Description: Purpose: This study aims to identify differences in knowledge-sharing mechanisms and personality among expert, typical and novice managers within the Malaysian public sector. Strengthening knowledge sharing function is essential for enabling public institutions around the world to be more productive. Design/methodology/approach: This quantitative study involves 308 employees from management and professional groups within 98 local authorities in the Malaysian local government. Stratified random sampling techniques were used and the sampling frame comprised 1,000 staff using postal surveys. Data analyses were carried out using analysis of variance and correlations to test the research hypotheses. Findings: The findings reveal that expert managers are more proactive in sharing their knowledge, particularly those with the personality traits of conscientiousness and openness. These two personality traits were also related to expert behaviours such as thoroughness, responsibility and persistence, which led to work competency and managerial success. Originality/value: This study provides theoretical insights into how managerial tacit knowledge differs and can accumulate, depending on the personality traits of middle managers. The paper shows the different mechanisms of knowledge sharing, tacit knowledge and personality among expert, typical and novice managers. Practically, this study is important for guiding senior managers in their attempts to identify the most appropriate personalities of their middle managers. This study found that the expert group was higher in conscientiousness, openness and overall personality traits compared with the typical and novice groups. The paper also highlights the value of sharing managerial tacit knowledge effectively. © 2020, Emerald Publishing Limited.
A mediating effect on erp km model for the performance of oil and gas sector in klang valley: A preliminary study
- Ma’arif, Muhamad, Satar, N. S. M., Singh, D. S. V., Motahar, S. M.
- Authors: Ma’arif, Muhamad , Satar, N. S. M. , Singh, D. S. V. , Motahar, S. M.
- Date: 2019
- Type: Text , Journal article
- Relation: International Journal of Advanced Trends in Computer Science and Engineering Vol. 8, no. 1.4 S1 (2019), p. 463-468
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- Description: The development of information technology and the internet has created a borderless business environment and increased market competition. Driving globalization trends, information technology facilitates the organization in the aspect of the decision-making process, increasing productivity with cost-effective and fast delivery to meet customer needs. This article presents a conceptual study of ERP KM model and proposes a direction for further investigation. In this study, a literature review on Incentive as mediating effects in ERP KM model against operational and financial performance was analyzed. In order to achieve this target, to maintain the competitive advantage, oil and gas industry players implement Knowledge Management (KM) on Enterprise Resource Planning (ERP) systems. However, most studies focus only on the implementation and improvement of the ERP process flows as compared to KM concepts. This paper covers literary studies related to KM and ERP as well as merging these two concepts to form the appropriate ERP KM model for the oil and gas sector in Klang Valley, Malaysia. The new model of ERP KM Rizam 2019 introduced in this study will be tested for its effectiveness in the oil and gas sector especially in the Klang Valley. It was found that the mediating effect ‘Incentives’ in addition to KM is expected to have a positive relationship on operational and financial performance compared to the direct influences of ERP usage on performance. © 2019, World Academy of Research in Science and Engineering. All rights reserved.
- Authors: Ma’arif, Muhamad , Satar, N. S. M. , Singh, D. S. V. , Motahar, S. M.
- Date: 2019
- Type: Text , Journal article
- Relation: International Journal of Advanced Trends in Computer Science and Engineering Vol. 8, no. 1.4 S1 (2019), p. 463-468
- Full Text:
- Reviewed:
- Description: The development of information technology and the internet has created a borderless business environment and increased market competition. Driving globalization trends, information technology facilitates the organization in the aspect of the decision-making process, increasing productivity with cost-effective and fast delivery to meet customer needs. This article presents a conceptual study of ERP KM model and proposes a direction for further investigation. In this study, a literature review on Incentive as mediating effects in ERP KM model against operational and financial performance was analyzed. In order to achieve this target, to maintain the competitive advantage, oil and gas industry players implement Knowledge Management (KM) on Enterprise Resource Planning (ERP) systems. However, most studies focus only on the implementation and improvement of the ERP process flows as compared to KM concepts. This paper covers literary studies related to KM and ERP as well as merging these two concepts to form the appropriate ERP KM model for the oil and gas sector in Klang Valley, Malaysia. The new model of ERP KM Rizam 2019 introduced in this study will be tested for its effectiveness in the oil and gas sector especially in the Klang Valley. It was found that the mediating effect ‘Incentives’ in addition to KM is expected to have a positive relationship on operational and financial performance compared to the direct influences of ERP usage on performance. © 2019, World Academy of Research in Science and Engineering. All rights reserved.
A framework for ERP post-implementation amendments : A literature analysis
- Oseni, Taiwo, Foster, Susan, Rahim, Mahbubur, Smith, Stephen Patrick
- Authors: Oseni, Taiwo , Foster, Susan , Rahim, Mahbubur , Smith, Stephen Patrick
- Date: 2017
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 21, no. (2017), p.
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- Description: Post-implementation amendments to ERP systems (ERP-PIA) are of importance for advancing ERP research, but more importantly essential if ERP systems are to be used as a strategic and competitive business tool. For ease of clarity, we have adopted the term “amendments” to encompass the main forms of post implementation activities: maintenance, enhancements and upgrades. The term “amendments” is used to counteract one of the major findings from this research - the inconsistency of terms used by many authors to explain post implementation activities. This paper presents a review of the ERP post-implementation amendment literature in order to provide answers to two specific questions: first, what is the current state of research in the field of ERP-PIA; and second, what are the future research directions that need to be explored in the field of ERP-PIA. From the review, we develop a framework to identify: (a) major themes concerning ERP post-implementation amendments, (b) inherent gaps in the post-implementation amendments literature, and (c) specific areas that require further research attention influencing the uptake of amendments. Suggestions on empirical evaluation of research directions and their relevance in the extension of existing literature is presented.
- Authors: Oseni, Taiwo , Foster, Susan , Rahim, Mahbubur , Smith, Stephen Patrick
- Date: 2017
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 21, no. (2017), p.
- Full Text:
- Reviewed:
- Description: Post-implementation amendments to ERP systems (ERP-PIA) are of importance for advancing ERP research, but more importantly essential if ERP systems are to be used as a strategic and competitive business tool. For ease of clarity, we have adopted the term “amendments” to encompass the main forms of post implementation activities: maintenance, enhancements and upgrades. The term “amendments” is used to counteract one of the major findings from this research - the inconsistency of terms used by many authors to explain post implementation activities. This paper presents a review of the ERP post-implementation amendment literature in order to provide answers to two specific questions: first, what is the current state of research in the field of ERP-PIA; and second, what are the future research directions that need to be explored in the field of ERP-PIA. From the review, we develop a framework to identify: (a) major themes concerning ERP post-implementation amendments, (b) inherent gaps in the post-implementation amendments literature, and (c) specific areas that require further research attention influencing the uptake of amendments. Suggestions on empirical evaluation of research directions and their relevance in the extension of existing literature is presented.
Applying Turner's three-process theory of power to the study of power relations in a troubled information systems implementation
- Ye, Michelle, de Salas, Kristy, Ollington, Nadia, McKay, Judy
- Authors: Ye, Michelle , de Salas, Kristy , Ollington, Nadia , McKay, Judy
- Date: 2017
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 21, no. (2017), p. 1-25
- Full Text:
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- Description: This paper explores the nature and exercise of power in an interpretive case study of a troubled information systems (IS) implementation in a university in the Asia Pacific region using Turner's Three-Process Theory of Power based on Social Identity Theory and Self-Categorisation Theory. The findings demonstrate the value of Turner's theoretical lens as well as its insufficiency for explaining all power related activities. This research has led to the development of an extended Three-Process Theory of Power by adding the alternative components that emerged from the data in the case study in relation to the nature and exercises of power. Based on the findings, we further recommend specific guidelines for IS theoreticians and practitioners including advice to project managers on a range of key issues. Thus, this paper contributes theorising the sources of power and tactical applications of power in given situations, particularly in IS implementation projects. © 2017 Ye, de Salas, Ollington & McKay.
- Authors: Ye, Michelle , de Salas, Kristy , Ollington, Nadia , McKay, Judy
- Date: 2017
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 21, no. (2017), p. 1-25
- Full Text:
- Reviewed:
- Description: This paper explores the nature and exercise of power in an interpretive case study of a troubled information systems (IS) implementation in a university in the Asia Pacific region using Turner's Three-Process Theory of Power based on Social Identity Theory and Self-Categorisation Theory. The findings demonstrate the value of Turner's theoretical lens as well as its insufficiency for explaining all power related activities. This research has led to the development of an extended Three-Process Theory of Power by adding the alternative components that emerged from the data in the case study in relation to the nature and exercises of power. Based on the findings, we further recommend specific guidelines for IS theoreticians and practitioners including advice to project managers on a range of key issues. Thus, this paper contributes theorising the sources of power and tactical applications of power in given situations, particularly in IS implementation projects. © 2017 Ye, de Salas, Ollington & McKay.
Business analytics-based enterprise information systems
- Sun, Zhaohao, Strang, Kenneth, Firmin, Sally
- Authors: Sun, Zhaohao , Strang, Kenneth , Firmin, Sally
- Date: 2017
- Type: Text , Journal article
- Relation: Journal of Computer Information Systems Vol. 57, no. 2 (2017), p. 169-178
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- Description: Big data analytics and business analytics are a disruptive technology and innovative solution for enterprise development. However, what is the relationship between business analytics, big data analytics, and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? How can analytics be incorporated into EIS? These are still big issues. This article addresses these three issues by proposing ontology of business analytics, presenting an analytics service-oriented architecture (ASOA) and applying ASOA to EIS, where our surveyed data analysis showed that the proposed ASOA is viable for developing EIS. This article then examines incorporation of business analytics into EIS through proposing a model for business analytics service-based EIS, or ASEIS for short. The proposed approach in this article might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence.
- Authors: Sun, Zhaohao , Strang, Kenneth , Firmin, Sally
- Date: 2017
- Type: Text , Journal article
- Relation: Journal of Computer Information Systems Vol. 57, no. 2 (2017), p. 169-178
- Full Text:
- Reviewed:
- Description: Big data analytics and business analytics are a disruptive technology and innovative solution for enterprise development. However, what is the relationship between business analytics, big data analytics, and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? How can analytics be incorporated into EIS? These are still big issues. This article addresses these three issues by proposing ontology of business analytics, presenting an analytics service-oriented architecture (ASOA) and applying ASOA to EIS, where our surveyed data analysis showed that the proposed ASOA is viable for developing EIS. This article then examines incorporation of business analytics into EIS through proposing a model for business analytics service-based EIS, or ASEIS for short. The proposed approach in this article might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence.
Group decision making in health care : A case study of multidisciplinary meetings
- Sharma, Vishakha, Stranieri, Andrew, Burstein, Frada, Warren, Jim, Daly, Sharon, Patterson, Louise, Yearwood, John, Wolff, Alan
- Authors: Sharma, Vishakha , Stranieri, Andrew , Burstein, Frada , Warren, Jim , Daly, Sharon , Patterson, Louise , Yearwood, John , Wolff, Alan
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Decision Systems Vol. 25, no. (2016), p. 476-485
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- Description: Abstract: Recent studies have demonstrated that Multi-Disciplinary Meetings (MDM) practiced in some medical contexts can contribute to positive health care outcomes. The group reasoning and decision-making in MDMs has been found to be most effective when deliberations revolve around the patient’s needs, comprehensive information is available during the meeting, core members attend and the MDM is effectively facilitated. This article presents a case study of the MDMs in cancer care in a region of Australia. The case study draws on a group reasoning model called the Reasoning Community model to analyse MDM deliberations to illustrate that many factors are important to support group reasoning, not solely the provision of pertinent information. The case study has implications for the use of data analytics in any group reasoning context. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
- Authors: Sharma, Vishakha , Stranieri, Andrew , Burstein, Frada , Warren, Jim , Daly, Sharon , Patterson, Louise , Yearwood, John , Wolff, Alan
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Decision Systems Vol. 25, no. (2016), p. 476-485
- Full Text:
- Reviewed:
- Description: Abstract: Recent studies have demonstrated that Multi-Disciplinary Meetings (MDM) practiced in some medical contexts can contribute to positive health care outcomes. The group reasoning and decision-making in MDMs has been found to be most effective when deliberations revolve around the patient’s needs, comprehensive information is available during the meeting, core members attend and the MDM is effectively facilitated. This article presents a case study of the MDMs in cancer care in a region of Australia. The case study draws on a group reasoning model called the Reasoning Community model to analyse MDM deliberations to illustrate that many factors are important to support group reasoning, not solely the provision of pertinent information. The case study has implications for the use of data analytics in any group reasoning context. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
Self-disclosure in Chinese micro-blogging : A social exchange theory perspective
- Liu, Zilong, Min, Qingfei, Zhai, Qingguo, Smyth, Russell
- Authors: Liu, Zilong , Min, Qingfei , Zhai, Qingguo , Smyth, Russell
- Date: 2016
- Type: Text , Journal article
- Relation: Information and Management Vol. 53, no. 1 (2016), p. 53-63
- Full Text: false
- Reviewed:
- Description: This paper examines the influence of social benefits and costs on self-disclosure in the context of micro-blogging in China. Data were collected from 441 micro-blogging users, employing an online survey. Self-disclosure is measured in terms of amount, depth, honesty, intent, and valence of disclosure. The study found that relationship building, enjoyment and trust in service providers are positively related to self-disclosure, while perceived anonymity of self and perceived risk are negatively related to self-disclosure. However, convenience of relationship maintenance and self-presentation are not related to self-disclosure. © 2015 Elsevier B.V. All rights reserved.
Addressing the complexities of big data analytics in healthcare : The diabetes screening case
- De Silva, Daswin, Burstein, Frada, Jelinek, Herbert, Stranieri, Andrew
- Authors: De Silva, Daswin , Burstein, Frada , Jelinek, Herbert , Stranieri, Andrew
- Date: 2015
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 19, no. (2015), p. S99-S115
- Full Text:
- Reviewed:
- Description: The healthcare industry generates a high throughput of medical, clinical and omics data of varying complexity and features. Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards better management of this data for effective and efficient healthcare delivery and quality assured outcomes. Amass of data across all stages, from disease diagnosis to palliative care, is further indication of the opportunities and challenges to effective data management, analysis, prediction and optimization techniques as parts of knowledge management in clinical environments. Big Data analytics (BDA) presents the potential to advance this industry with reforms in clinical decision-support and translational research. However, adoption of big data analytics has been slow due to complexities posed by the nature of healthcare data. The success of these systems is hard to predict, so further research is needed to provide a robust framework to ensure investment in BDA is justified. In this paper we investigate these complexities from the perspective of updated Information Systems (IS) participation theory. We present a case study on a large diabetes screening project to integrate, converge and derive expedient insights from such an accumulation of data and make recommendations for a successful BDA implementation grounded in a participatory framework and the specificities of big data in healthcare context. © 2015 De Silva, Burstein, Jelinek, Stranieri.
- Authors: De Silva, Daswin , Burstein, Frada , Jelinek, Herbert , Stranieri, Andrew
- Date: 2015
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 19, no. (2015), p. S99-S115
- Full Text:
- Reviewed:
- Description: The healthcare industry generates a high throughput of medical, clinical and omics data of varying complexity and features. Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards better management of this data for effective and efficient healthcare delivery and quality assured outcomes. Amass of data across all stages, from disease diagnosis to palliative care, is further indication of the opportunities and challenges to effective data management, analysis, prediction and optimization techniques as parts of knowledge management in clinical environments. Big Data analytics (BDA) presents the potential to advance this industry with reforms in clinical decision-support and translational research. However, adoption of big data analytics has been slow due to complexities posed by the nature of healthcare data. The success of these systems is hard to predict, so further research is needed to provide a robust framework to ensure investment in BDA is justified. In this paper we investigate these complexities from the perspective of updated Information Systems (IS) participation theory. We present a case study on a large diabetes screening project to integrate, converge and derive expedient insights from such an accumulation of data and make recommendations for a successful BDA implementation grounded in a participatory framework and the specificities of big data in healthcare context. © 2015 De Silva, Burstein, Jelinek, Stranieri.
An empirical evaluation of the potential of public e-procurement to reduce corruption
- Neupane, Arjun, Soar, Jeffrey, Vaidya, Kishor
- Authors: Neupane, Arjun , Soar, Jeffrey , Vaidya, Kishor
- Date: 2014
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 18, no. 2 (2014), p. 21-44
- Full Text:
- Reviewed:
- Description: One of the significant potential benefits of e-procurement technology is reducing opportunities for corruption in public procurement processes. The authors identified anticorruption capabilities of e-procurement through an extensive literature review and a theoretical model representing the impact of three latent variables: monopoly of power, information asymmetry, and transparency and accountability upon the dependent variable, the intent-to-adopt e-procurement. This research was guided by the Principal- Agent theory and collected the perceptions of 46 government officers of the potential of public e-procurement to reduce corruption in public procurement processes. Results were analysed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The findings suggest that the intent-to-adopt e-procurement has a positive and significant relationship with the independent variables that might inform developing countries in strategies to combat corruption in public procurement.
- Authors: Neupane, Arjun , Soar, Jeffrey , Vaidya, Kishor
- Date: 2014
- Type: Text , Journal article
- Relation: Australasian Journal of Information Systems Vol. 18, no. 2 (2014), p. 21-44
- Full Text:
- Reviewed:
- Description: One of the significant potential benefits of e-procurement technology is reducing opportunities for corruption in public procurement processes. The authors identified anticorruption capabilities of e-procurement through an extensive literature review and a theoretical model representing the impact of three latent variables: monopoly of power, information asymmetry, and transparency and accountability upon the dependent variable, the intent-to-adopt e-procurement. This research was guided by the Principal- Agent theory and collected the perceptions of 46 government officers of the potential of public e-procurement to reduce corruption in public procurement processes. Results were analysed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The findings suggest that the intent-to-adopt e-procurement has a positive and significant relationship with the independent variables that might inform developing countries in strategies to combat corruption in public procurement.
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