ORCID Profile
0000-0003-0780-3271
Current Organisations
Federation University Australia
,
Hebei University of Science and Technology
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Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-5884-4.CH001
Abstract: Web services are playing a pivotal role in business, management, governance, and society with the dramatic development of the Internet and the Web. However, many fundamental issues are still ignored to some extent. For ex le, what is the unified perspective to the state-of-the-art of Web services? What is the foundation of Demand-Driven Web Services (DDWS)? This chapter addresses these fundamental issues by examining the state-of-the-art of Web services and proposing a theoretical and technological foundation for demand-driven Web services with applications. This chapter also presents an extended Service-Oriented Architecture (SOA), eSMACS SOA, and examines main players in this architecture. This chapter then classifies DDWS as government DDWS, organizational DDWS, enterprise DDWS, customer DDWS, and citizen DDWS, and looks at the corresponding Web services. Finally, this chapter examines the theoretical, technical foundations for DDWS with applications. The proposed approaches will facilitate research and development of Web services, mobile services, cloud services, and social services.
Publisher: Springer Science and Business Media LLC
Date: 31-10-2022
DOI: 10.1007/S44163-022-00037-1
Abstract: The purpose of this study was to evaluate the effectiveness of using natural language processing (NLP) artificial intelligence (AI) in enterprise resources planning (ERP) to identify specialized job candidates in real-time big data—globally across the internet. The central problem was that companies using traditional methods for recruiting remote specialists were missing good candidates because the skilled employees may not be looking for a job yet they may be receptive to an offer. The auxiliary problem was too much data on the internet for human resources management (HRM) staff to make sense of to find the best-fitting candidate. Thus, the research question was: could NLP AI identify good candidates for ERP remote specialist jobs using internet real-time big data? Job criteria were developed using machine learning to identify key skills from existing staff in a case study company. The skills were transformed into ERP remote specialists hiring criteria. The NLP AI software was activated to find the best candidate. The HRM staff at the case study company evaluated the effectiveness of the candidate selected by the NLP AI. The case study company set 70% as the acceptable mean evaluation score. ANOVA was used to determine if HRM staff agreed about their evaluation scores. A Z-test was used to determine if the NLP AI was faster than the mean time needed for HRM to select ERP candidates. The results were that the NLP AI outperformed the humans by a factor of almost 8 h. All HRM staff agreed that the NLP AI was effective in selecting a candidate to match the hiring criteria. The proposed approach might facilitate the research and development of big data, data analytics, NLP AI, and HRM process improvement.
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-875-8.CH020
Abstract: GIT and GIS have a significant impact on the undergraduate and postgraduate programs offered in universities in Australia. Further, how to teach IT and IS to international students has been becoming a significant issue for IT and IS programs offered in Australia, in particular in the context of a fiercely competitive market of international students and in the context of GIT and GIS. However, these topics have not drawn the attention of academic researchers so far. This chapter will fill this gap by examining the impact of global information technology on universities in Australia in such areas as curriculum development, textbooks and teaching, and looking at some issues in teaching information technology and information systems to international students from different countries with different IT and IS backgrounds based on the author’s working and teaching experience in three different universities in Australia. This chapter also makes a daring prediction for the impact of GIT on international education in Australia and proposes a few viable strategies for resolving some issues facing international education for IT and IS in Australia. The proposed approach is very useful for research and development of GIT and GIS as well as for IT/IS programs in Australian universities.
Publisher: Springer International Publishing
Date: 2015
Publisher: SAGE Publications
Date: 02-07-2019
Abstract: The goal of the study was to identify big data analysis issues that can impact empirical research in the healthcare industry. To accomplish that the author analyzed big data related keywords from a literature review of peer reviewed journal articles published since 2011. Topics, methods and techniques were summarized along with strengths and weaknesses. A panel of subject matter experts was interviewed to validate the intermediate results and synthesize the key problems that would likely impact researchers conducting quantitative big data analysis in healthcare studies. The systems thinking action research method was applied to identify and describe the hidden issues. The findings were similar to the extant literature but three hidden fatal issues were detected. Methodical and statistical control solutions were proposed to overcome the three fatal healthcare big data analysis issues.
Publisher: IEEE
Date: 2007
DOI: 10.1109/ICIS.2007.56
Publisher: Informa UK Limited
Date: 08-02-2018
Publisher: Informa UK Limited
Date: 04-10-2018
Publisher: IGI Global
Date: 2007
DOI: 10.4018/978-1-59904-255-8.CH009
Abstract: This chapter reviews fundamentals of e-supply chain management and examines the transformation from the traditional supply chains to the e-supply chains (e-SC). This chapter applies experience management (EM) and experience-based reasoning (EBR) to intellegent agents in the e-SC and explores how to use experience in extablishing trust in other agents. The role of trust and deception in supply chains for real-time enterprises is discussed, and a logical framework for fraud and deception is explained in this chapter. EBR is considered as a way to manage trust in the supply network. This chapter explores cooperation and negotiation, trust and deception in e-supply chains by providing methodologies and intelligent techniques for multiagent trust, negotiation, and deception in an e-SC. Finally, a unified model is developed for integrating cooperation and negotiation, trust and deception in e-supply chains. Although primarily theoretical, the chapter highlights new areas of research which will impact supply chain management.
Publisher: IGI Global
Date: 2019
DOI: 10.4018/978-1-5225-7277-0.CH004
Abstract: This chapter discusses several fundamental and managerial controversies associated with artificial intelligence and big data analytics which will be of interest to quantitative professionals and practitioners in the fields of computing, e-commerce, e-business services, and e-government. The authors utilized the systems thinking technique within an action research framework. They used this approach because their ideology was pragmatic, the problem at hand, was complex and institutional (healthcare discipline), and they needed to understand the problems from both a practitioner and a nonhuman technology process viewpoint. They used the literature review along with practitioner interviews collected at a big data conference. Although they found many problems, they considered these to be already encompassed into the big data five V's (volume, velocity, variety, value, veracity). Interestingly, they uncovered three new insights about the hidden healthcare artificial intelligence and big data analytics risks then they proposed solutions for each of these problems.
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-6539-2.CH018
Abstract: Web services are playing a pivotal role in business, management, governance, and society with the dramatic development of the Internet and the Web. However, many fundamental issues are still ignored to some extent. For ex le, what is the unified perspective to the state-of-the-art of Web services? What is the foundation of Demand-Driven Web Services (DDWS)? This chapter addresses these fundamental issues by examining the state-of-the-art of Web services and proposing a theoretical and technological foundation for demand-driven Web services with applications. This chapter also presents an extended Service-Oriented Architecture (SOA), eSMACS SOA, and examines main players in this architecture. This chapter then classifies DDWS as government DDWS, organizational DDWS, enterprise DDWS, customer DDWS, and citizen DDWS, and looks at the corresponding Web services. Finally, this chapter examines the theoretical, technical foundations for DDWS with applications. The proposed approaches will facilitate research and development of Web services, mobile services, cloud services, and social services.
Publisher: IGI Global
Date: 24-02-2023
DOI: 10.4018/978-1-6684-5959-1.CH005
Abstract: Big data analytics has become one of the most significant frontiers in academia and one of the most successful applications in industry. Globally, big data analytics are becoming increasingly crucial for driving the business performance of enterprises on global markets. Having thriving business models for airports is crucial to enhancing a commercial airport's viability. Utilizing big data analytics and its services remains a significant challenge for airports in developing countries. This chapter uses big data-driven research as a search methodology through various literature sources including practical case studies in airport and aviation analytics and their applications to airport business process and services. With this understanding to improve airport business models and to enhance airport services, the objective of this chapter is to examine how to enhance airport business services with big data analytics.
Publisher: IGI Global
Date: 2019
DOI: 10.4018/978-1-5225-7277-0.CH007
Abstract: Can big data research be effectively conducted using spreadsheet software (i.e., Microsoft Excel)? While a definitive response might be closer to “no” rather than “yes,” this question cannot be unequivocally answered. As spreadsheet scholars, the authors' inclination is to answer in the positive. To this regard, the chapter looks at how Excel can be used in conjunction with other software and analytical techniques in big data research. This chapter also argues where and how to use spreadsheet software to conduct big data research. A focal argument of this chapter is that the key behind big data driven research is data cleansing and big data driven small data analysis. The proposed approach in this chapter might facilitate the research and development of intelligent big data analytics, big data analytics, and business intelligence.
Publisher: IGI Global
Date: 24-02-2022
DOI: 10.4018/978-1-6684-5959-1.CH001
Abstract: This chapter will examine big data-driven socioeconomic development from an interdisciplinary approach. More specifically, it explores the big characteristics of big data from a fundamental, technological, and socio-economic perspective. It reviews digital computing and digital technologies. This chapter looks at digital industry, trade, and economy, and analyzes the role of electronic, social, mobile, analytics, cloud, and security (eSMACS) goods and services in digital trade and economy. This chapter presents gross domestic data products (GDDP) as a GDP-like data metric for measuring economic performance and social progress. It proposes big data-driven socioeconomic development, supported by big data-driven technologies, services, economies, and societies. This research demonstrates that big data-driven eSMACS technologies, services, economies, and societies underpin the big data-driven socioeconomic development. The proposed approach in this chapter might facilitate the research of big data, big data analytics, socioeconomic development, AI, and digital society.
Publisher: ACM
Date: 10-08-2022
Publisher: World Scientific Pub Co Pte Lt
Date: 07-2013
DOI: 10.1142/S1793005713400012
Abstract: The unprecedented and rapid development of the Chinese economy has been vividly displayed in front of the whole world to see. The attention has been particularly acute for the academic community and career politician alike. Ironically, this rapid economic miracle of China has been built on an unsound and often even questionable foundation of Chinese words, language and culture, of which we call them "Chinese trinity". This paper deals with the Chinese trinity from a computing science perspective. This paper argues the reform in scientific Chinese trinity with an emphasis of the word "scientific" ought to play a key role for further Chinese economic development and to launch a much improved contemporary Chinese society on a solid foundation. In addition, this paper proposes specifically ten computing paradigms and examines critically their potential impacts on scientific Chinese trinity. Finally, we feel the very focused approaches as proposed here might inspire as well as provide a much needed road map toward the goal of the scientific Chinese trinity. Judiciously chosen vigorous research projects appear to be indispensable. The unfortunate well known and long overdue reform has finally been rescued by the pressure of the information revolution coming of age.
Publisher: ACM
Date: 10-08-2022
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-61520-611-7.CH087
Abstract: Web services are Internet-based application components published using standard interface description languages and universally available via uniform communication protocols (Singh & Huhns, 2005). Web services can be also considered the provision of services over electronic networks such as the Internet and wireless networks (Rust & Kannan, 2003). Web services is a new computing paradigm that has drawn increasing attention in information technology (Deitel, et al, 2004, p.13), information systems, and is playing a pivotal role in service computing and service intelligence (Singh & Huhns, 2005). Web services is a new business paradigm that is playing an important role in e-business, ecommerce and business intelligence (Wang, et al, 2006). The key motive for the rapid development of web services is the ability to discover services that fulfil users’ demands, negotiate service contracts and have the services delivered where and when the users request them (Tang, et al, 2007). The current research trend is to add intelligent techniques to web services to facilitate discovery, invocation, composition, and recommendation of web services (Wang, et al, 2006).
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 06-2009
Publisher: Elsevier BV
Date: 12-2008
Publisher: IGI Global
Date: 2020
DOI: 10.4018/IJSSOE.2020010101
Abstract: This paper provides a service-oriented foundation for big data. The foundation has two parts. Part 1 reveals 10 big characteristics of big data. Part 2 presents a service-oriented framework for big data. The framework has fundamental, technological, and socio-economic levels. The fundamental level has four big fundamental characteristics of big data: big volume, big velocity, big variety, and big veracity. The technological level consists of three big technological characteristics of big data: Big intelligence, big analytics, big infrastructure. The socioeconomic level has three big socioeconomic characteristics of big data: big service, big value, and big market. The article looks at each level of the proposed framework from a service-oriented perspective. The multi-level framework will help organizations and researchers understand how the 10 big characteristics relate to big opportunities, big challenges, and big impacts arising from big data. The proposed approach in this paper might facilitate the research and development of big data, big data analytics, business intelligence, and business analytics.
Publisher: IEEE
Date: 2009
Publisher: IGI Global
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Hindawi Limited
Date: 11-02-2002
DOI: 10.1002/INT.10021
Publisher: IEEE
Date: 2008
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-7998-4963-6.CH001
Abstract: Intelligent analytics is an emerging paradigm in the age of big data, analytics, and artificial intelligence (AI). This chapter explores the nature of intelligent analytics. More specifically, this chapter identifies the foundations, cores, and applications of intelligent big data analytics based on the investigation into the state-of-the-art scholars' publications and market analysis of advanced analytics. Then it presents a workflow-based approach to big data analytics and technological foundations for intelligent big data analytics through examining intelligent big data analytics as an integration of AI and big data analytics. The chapter also presents a novel approach to extend intelligent big data analytics to intelligent analytics. The proposed approach in this chapter might facilitate research and development of intelligent analytics, big data analytics, business analytics, business intelligence, AI, and data science.
Publisher: ACM
Date: 27-10-2018
Publisher: Informa UK Limited
Date: 11-08-2017
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-7998-4963-6.CH003
Abstract: This chapter addresses whether AI can understand me. A framework for regulating AI systems that draws on Strawson's moral philosophy and concepts drawn from jurisprudence and theories on regulation is used. This chapter proposes that, as AI algorithms increasingly draw inferences following repeated exposure to big datasets, they have become more sophisticated and rival human reasoning. Their regulation requires that AI systems have agency and are subject to the rulings of courts. Humans sponsor the AI systems for registration with regulatory agencies. This enables judges to make moral culpability decisions by taking the AI system's explanation into account along with the full social context of the misdemeanor. The proposed approach might facilitate the research and development of intelligent analytics, intelligent big data analytics, multiagent systems, artificial intelligence, and data science.
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-6539-2.CH068
Abstract: Securing a cloud network is an important challenge for delivering cloud services to enterprise clouds. There are a number of secure network protocols, such as VPN protocols, currently available, to provide different secure network solutions for enterprise clouds. For ex le, PPTP, IPSec, and SSL/TLS are the most widely used VPN protocols in today's securing network solutions. However, there are some significant challenges in the implementation stage. For ex le, which VPN solution is easy to deploy in delivering cloud services? Which VPN solution is most user-friendly in enterprise clouds? This chapter explores these issues by implementing different VPNs in a virtual cloud network environment using open source software and tools. This chapter also reviews cloud computing and cloud services and looks at their relationships. The results not only provide experimental evidence but also facilitate the network implementers in deployment of secure network solutions for enterprise cloud services.
Publisher: IGI Global
Date: 2022
DOI: 10.4018/978-1-7998-9016-4.CH005
Abstract: Frameworks for the regulation of artificial intelligence (AI) systems are emerging some are based on regulation theories others are more technologically focused. Regulation of AI systems is likely to emerge in an ad-hoc, unstructured, and uncoordinated fashion that renders high level frameworks philosophically interesting but of limited benefit in practice. In this paper, the task of arriving at a collection of interventions that regulate an AI system is taken to be a process-oriented problem. It presents a process-oriented framework for the design of regulating systems by deliberating groups. It also discusses regulations of AI systems and responsibility, mechanisms and institutions, key elements for regulating AI systems. The proposed approach might facilitate research and development of responsible AI, explainable AI, and ethical AI for an ethical and inclusive digitized society. It also has implications for the development of e-business, e-services, and e-society.
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: IGI Global
Date: 2019
DOI: 10.4018/978-1-5225-7277-0.CH001
Abstract: Intelligent big data analytics is an emerging paradigm in the age of big data, analytics, and artificial intelligence (AI). This chapter explores intelligent big data analytics from a managerial perspective. More specifically, it first looks at the age of trinity and argues that intelligent big data analytics is at the center of the age of trinity. This chapter then proposes a managerial framework of intelligent big data analytics, which consists of intelligent big data analytics as a science, technology, system, service, and management for improving business decision making. Then it examines intelligent big data analytics for management taking into account four managerial functions: planning, organizing, leading, and controlling. The proposed approach in this chapter might facilitate the research and development of intelligent big data analytics, big data analytics, business intelligence, artificial intelligence, and data science.
Publisher: IGI Global
Date: 2009
DOI: 10.4018/978-1-60566-669-3.CH014
Abstract: Trust is significant for sustainable development of e-commerce and has received increasing attention in e-commerce, multiagent systems (MAS), and artificial intelligence (AI). However, little attention has been given to the theoretical foundation and intelligent techniques for trust in e-commerce from a viewpoint of intelligent systems and engineering. This chapter will fill this gap by examining engineering of experience-based trust in e-commerce from the viewpoint of intelligent systems. It looks at knowledgebased trust, inference-based trust and their interrelationships with experience-based trust. It also examines scalable trust in e-commerce. It proposes a knowledge based model of trust in e-commerce and a system architecture for METSE: a multiagent system for experience-based trust in e-commerce. The proposed approach in this chapter will facilitate research and development of trust, multiagent systems, e-commerce and e-services.
Publisher: IGI Global
Date: 2022
DOI: 10.4018/978-1-7998-9016-4.CH010
Abstract: Airports have always been one of the biggest contributors of big data to the aviation ecosystem. With the abundance of data available, big data analytics can help transform the airports to smart ones. This chapter examines airport analytics from a business process viewpoint. It explores the value of applying intelligent big data analytics in an airport from an operations perspective and strategic differentiation perspective. This chapter also discusses the challenges faced when adopting intelligent big data analytics in a smart airport paradigm from the perspective of PNG's National Airports Corporation (NAC). This chapter then looks at how these challenges can be overcome to realize the true value of applying intelligent big data analytics in an airport. The approach proposed in this chapter might contribute to expediting research of future development of intelligent big data analytics solutions that are customizable to an airport to recognize the real value of intelligent big data analytics in all facets of its operations.
Publisher: Physica-Verlag HD
Date: 2000
Publisher: IGI Global
Date: 2017
DOI: 10.4018/978-1-5225-1837-2.CH024
Abstract: This paper proposes a framework for developing management intelligent systems (MiS). The proposed framework identifies the main management functions, intelligent systems and decision support systems (DSS) for planning, organizing, leading and controlling, and their corresponding applications as the core components of MiS. It integrates the main management functions with intelligent systems and DSS in a context of decision making by managers in organizations. This paper also examines intelligent systems for management and management decision making. The approach proposed in this paper might facilitate research and development of MiS, management, intelligent systems, and information systems.
Publisher: IEEE
Date: 12-2016
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-6684-3662-2.CH085
Abstract: This chapter discusses several fundamental and managerial controversies associated with artificial intelligence and big data analytics which will be of interest to quantitative professionals and practitioners in the fields of computing, e-commerce, e-business services, and e-government. The authors utilized the systems thinking technique within an action research framework. They used this approach because their ideology was pragmatic, the problem at hand, was complex and institutional (healthcare discipline), and they needed to understand the problems from both a practitioner and a nonhuman technology process viewpoint. They used the literature review along with practitioner interviews collected at a big data conference. Although they found many problems, they considered these to be already encompassed into the big data five V's (volume, velocity, variety, value, veracity). Interestingly, they uncovered three new insights about the hidden healthcare artificial intelligence and big data analytics risks then they proposed solutions for each of these problems.
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-6684-3662-2.CH040
Abstract: This paper provides a service-oriented foundation for big data. The foundation has two parts. Part 1 reveals 10 big characteristics of big data. Part 2 presents a service-oriented framework for big data. The framework has fundamental, technological, and socio-economic levels. The fundamental level has four big fundamental characteristics of big data: big volume, big velocity, big variety, and big veracity. The technological level consists of three big technological characteristics of big data: Big intelligence, big analytics, big infrastructure. The socioeconomic level has three big socioeconomic characteristics of big data: big service, big value, and big market. The article looks at each level of the proposed framework from a service-oriented perspective. The multi-level framework will help organizations and researchers understand how the 10 big characteristics relate to big opportunities, big challenges, and big impacts arising from big data. The proposed approach in this paper might facilitate the research and development of big data, big data analytics, business intelligence, and business analytics.
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-61520-819-7.CH003
Abstract: Web services are playing a pivotal role in e-business, service intelligence, and service science. Demand-driven web services are becoming important for web services and service computing. However, many fundamental issues are still ignored to some extent. For ex le, what is the demand theory for web services, what is a demand-driven architecture for web services and what is a demand-driven web service lifecycle remain open. This chapter addresses these issues by examining fundamentals for demand analysis in web services, and proposing a demand-driven architecture for web services. It also proposes a demand-driven web service lifecycle for the main players in web services: Service providers, service requestors and service brokers, respectively. It then provides a unified perspective on demand-driven web service lifecycles. The proposed approaches will facilitate research and development of web services, e-services, service intelligence, service science and service computing.
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: IGI Global
Date: 2016
DOI: 10.4018/IJSSOE.2016010103
Abstract: This paper proposes a framework for developing management intelligent systems (MiS). The proposed framework identifies the main management functions, intelligent systems and decision support systems (DSS) for planning, organizing, leading and controlling, and their corresponding applications as the core components of MiS. It integrates the main management functions with intelligent systems and DSS in a context of decision making by managers in organizations. This paper also examines intelligent systems for management and management decision making. The approach proposed in this paper might facilitate research and development of MiS, management, intelligent systems, and information systems.
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-7998-4963-6.CH010
Abstract: Smart airport management has drawn increasing attention worldwide for improving airport operational efficiency. Big data analytics is an emerging computing paradigm and enabler for smart airport management in the age of big data, analytics, and artificial intelligence (AI). This chapter will explore big data analytics for smart airport management from a perspective of PNG Jackson's International Airport. More specifically, this chapter first provides an overview of big data analytics and smart airport management and then looks at the impact of big data analytics on smart airport management. The chapter discusses how to apply big data analytics and smart airport management to upgrade PNG Jackson's International Airport in terms of safety and security, optimizing operational effectiveness, service enhancements, and customer experience. The approach proposed in this chapter might facilitate research and development of intelligent big data analytics, smart airport management, and customer relationship management.
Publisher: World Scientific Pub Co Pte Lt
Date: 31-01-2017
DOI: 10.1142/S179300571750003X
Abstract: Experience-based reasoning (EBR) is a paradigm used in almost every human activity as a part of human reasoning. However, EBR has not been seriously studied from a logical viewpoint. This paper will attempt to fill this gap by providing a unified logical approach to EBR. More specifically, this paper first examines EBR and inference rules. Then it proposes eight different rules of inference for EBR, which cover all possible EBRs from a logical viewpoint. These eight different rules of inference constitute the fundamentals for all EBR paradigms, and therefore will be the theoretical foundation for EBR. The proposed approach will facilitate research and development of EBR, human reasoning, and common sense reasoning.
Publisher: World Scientific Pub Co Pte Lt
Date: 07-2013
Publisher: IGI Global
Date: 2012
DOI: 10.4018/978-1-4666-0146-8.CH010
Abstract: Web services play an important role in successful business integration and other application fields such as e-commerce and e-business. Customer decision making (CDM) is an indispensable factor for e-business and Web services. This chapter examines customer decision making in Web services. More specifically, it first looks at decision making in Web services, and proposes a novel P6 model for CDM in Web services, which consists of 6 Ps: privacy, perception, propensity, preference, personalization, and promised experience. This model integrates the existing 6 P elements of marketing mix as the environment of customer decision making in Web services. The new integrated P6 model deals with the inner world of the customer for decision making (DM) and incorporates what the customer sees and thinks during a DM process. The purpose of this novel P6 model is to assist customers in the decision process to acquire the most satisfactory Web service. This chapter also examines case-based decision making in Web services and provides a theoretical foundation for case-based decision making under the condition of one problem with multiple solutions in Web services. The proposed approach will facilitate research and development of e-business, Web services, decision support systems, intelligent systems, and soft computing.
Publisher: Hindawi Limited
Date: 2007
DOI: 10.1002/INT.20220
Publisher: Hindawi Limited
Date: 2005
DOI: 10.1002/INT.20101
Publisher: IGI Global
Date: 07-2012
Abstract: This paper proposes TEA: a generic framework for decision making in web services, which integrates the environment (6 Ps) of decision making, the behaviors (6 Cs) of decision makers, and inner activities (another 6 Ps) of decision makers. This framework unifies what the decision makers can “eye” (the above-mentioned first 6Ps), should “think” (the above-mentioned another 6 Ps) and “act” (6 Cs), whenever making decisions in web services. The paper also examines interrelationships among the first 6 Ps, 6 Cs, and another 6Ps, and their influences on decision making in web services. The proposed approach will facilitate research and development of decision making and decision support systems in web services.
Publisher: Elsevier BV
Date: 08-2016
Publisher: Hindawi Limited
Date: 04-2003
DOI: 10.1002/INT.10093
Publisher: IEEE
Date: 2001
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 08-2015
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-5884-4.CH012
Abstract: This chapter examines Web services in China. More specifically, it examines the state-of-the-art of China's Web services in terms of cloud services, mobile services, and social networking services through exploring several leading Web service providers in the ICT industry, including Alibaba, Tencent, China Mobile, and Huawei. This research reveals that the Chinese culture has played an important role in the success of China's Web services. The trade-off ideology and communication conventions from Chinese traditional culture, as well as Mao Zedong thought, greatly influenced the development of China's Web services. The findings of this chapter might facilitate the research and development of Web services and better understanding of the growth in China's ICT industry, as well as future trends.
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-5884-4.CH010
Abstract: Securing a cloud network is an important challenge for delivering cloud services to enterprise clouds. There are a number of secure network protocols, such as VPN protocols, currently available, to provide different secure network solutions for enterprise clouds. For ex le, PPTP, IPSec, and SSL/TLS are the most widely used VPN protocols in today's securing network solutions. However, there are some significant challenges in the implementation stage. For ex le, which VPN solution is easy to deploy in delivering cloud services? Which VPN solution is most user-friendly in enterprise clouds? This chapter explores these issues by implementing different VPNs in a virtual cloud network environment using open source software and tools. This chapter also reviews cloud computing and cloud services and looks at their relationships. The results not only provide experimental evidence but also facilitate the network implementers in deployment of secure network solutions for enterprise cloud services.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Elsevier BV
Date: 2003
Publisher: Springer US
Date: 2008
Publisher: Informa UK Limited
Date: 21-07-2017
Publisher: World Scientific Pub Co Pte Lt
Date: 07-2017
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8619-9.CH044
Abstract: This chapter examines Web services in China. More specifically, it examines the state-of-the-art of China's Web services in terms of cloud services, mobile services, and social networking services through exploring several leading Web service providers in the ICT industry, including Alibaba, Tencent, China Mobile, and Huawei. This research reveals that the Chinese culture has played an important role in the success of China's Web services. The trade-off ideology and communication conventions from Chinese traditional culture, as well as Mao Zedong thought, greatly influenced the development of China's Web services. The findings of this chapter might facilitate the research and development of Web services and better understanding of the growth in China's ICT industry, as well as future trends.
Publisher: IEEE
Date: 10-2006
Publisher: Hindawi Limited
Date: 2000
Publisher: World Scientific Pub Co Pte Lt
Date: 07-2017
DOI: 10.1142/S1793005717400014
Abstract: The recent research evolution on big data has brought exciting aspiration to mathematicians, computer scientists and business professionals alike. However, the lack of a sound mathematical foundation presents itself as a real challenge amidst the swarm of big data marketing activities. This paper intends to propose a possible mathematical theory as a foundation for big data research. Specifically, we propose the concept of the adjective “big” as a mathematical operator, furthermore, the concept of so-called “big” logically and naturally fits the concept of being “linguistics variable” as per fuzzy logic research community for decades. The consequence of adopting such a mathematical modeling can be profoundly considered as an abstraction of the technologies, systems, tools for data management and processing that transforms data into big data. In addition, the concept of infinity of the big data is based on the theory of calculus and the set theory. Furthermore, the concept of relativity of the big data, as we find out, is based on the operations of the fuzzy subsets theory. The proposed approach in this paper, we hope, can facilitate and open up more opportunities for big data research and developments on big data analytics, business analytics, big data intelligence, big data computing as well as big data science.
Publisher: ACM
Date: 04-12-2014
No related grants have been discovered for Zhaohao Sun.