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22 Papers

Misalignment between Business and IT Strategic Objectives in Saudi Arabia Public Sector Organisations

Topics: Social Implications for IoT; Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks; Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data; Framework (conceptual, logical or software); e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data; Business, Finance and Management

Authors: Abdulaziz AlGhazi 1 , Mengxiang Li 2 , Tingru Cui 1 , Fosso Wamba Samuel 3 and Jun Shen 1

Affiliations: 1 University of Wollongong, Australia , 2 Hong Kong Baptist University, Hong Kong , 3 Toulouse Business School, France

Digital Object Identifier: 10.5220/0006692902120220

Proceedings of IoTBDS 2018, ISBN: 978-989-758-296-7

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Business-IT strategy misalignment is increasingly an important area of concern and interest in organisations around the world including Saudi Arabia (SA). Indeed, the SA government has launched the National Digital Transformation Strategy for 2030 to support all public-sector organisations to improve efficiency and performance. This research aimed to identify and analyse the factors that contribute to business/IT strategy misalignment in Saudi public-sector organisations. This research focused emerged from the need to better understand the business and IT models incorporated in the organisations Saudi Arabia to achieve high performance, quality of service (QoS) and return of investment (ROI). Using a qualitative study design that included semi-structured interviews with eight executive and managerial staff from five public-sector organisations in Saudi Arabia, this study found human, operational and IT system factors all have the potential to contribute to business-IT strategy misalignment. It also found the approaches to misalignment avoidance in Saudi public-sector organisations sometimes lack structure and consistency.

Business Process Generation by Leveraging Complete Search over a Space of Activities and Process Goals

Topic: Business Process Management and Web Services

Authors: Dipankar Deb 1 , Nabendu Chaki 1 and Aditya Ghose 2

Affiliations: 1 University of Calcutta, India , 2 University of Wollongong, Australia

Digital Object Identifier: 10.5220/0005408702330240

Proceedings of CLOSER 2015, ISBN: 978-989-758-104-5

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An efficient and flexible business process not only helps an organization to meet the requirements of the evolving surroundings but also may facilitate a competitive advantage over other companies towards delivering the desired services. This is even more critical for an emerging paradigm like cloud based deployment. In this paper, we introduce a novel mechanism to generate the business process suitable for specific organizations. The approach provides an automated way to build the possible business processes for a given set of tasks that fulfills the goal and satisfies the constraints of an organization. In step 1, we show how to generate the finite space of all possible designs for a given set of tasks. Secondly, we accumulate the effect of each step to deduce the final effect of each possible process design and to ensure that the redesigned set of steps still realizes the service goal. The designs not meeting the service goals are eliminated from the space. In step 3, the rest of the designs are checked for the constraint satisfaction subject to some specific cases. The framework provides a comprehensive, both syntactically and semantically correct, consistent business process generation methodology that adheres to the target business goals and constraints.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence

Enterprise Engineering

Knowledge-Based Systems

Business Process Management

Enterprise Information Systems

Symbolic Systems
e-Business

Knowledge Management and Information Sharing

Implementation of Radio Tomographic Imaging based Localisation using a 6LoWPAN Wireless Sensor Network

Topics: Localization and Positioning Schemes; Measurements and Experimental Research; Novel Sensing Applications; Urban Sensing

Authors: Vanessa Smallbon 1 , Timothy Potie 1 , Matthew D’Souza 1 , Adam Postula 1 and Montserrat Ros 2

Affiliations: 1 The University of Qeensland, Australia , 2 University of Wollongong, Australia

Digital Object Identifier: 10.5220/0005513400270032

Proceedings of WINSYS 2015/ICETE, ISBN: 978-989-758-119-9

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Mobile localisation has numerous uses for logistics, health, sport and social networking applications. Current wireless localisation systems typically require the use of tracking devices to be worn or implanted. The use of tracking devices can hinder the types applications that can be used. Wireless localisation use wireless channel propagation characteristics, such as RF receive signal strength to localise a user’s position, which requires the use of complex radio hardware. We developed a wireless tracking system using radio tomographic imaging to track people without wearing a mobile tracking device. We evaluated our wireless localisation network with users in an indoor environment. Our localisation network used the 6LoWPAN wireless communications protocol.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Localization and Positioning Schemes

Sensor, Mesh and Ad Hoc Communications and Networks

Wireless Information Networks and Systems
Measurements and Experimental Research

Telecommunications

Performance Tuning of Object-Oriented Applications in Distributed Information Systems

Topics: Coupling and Integrating Heterogeneous Data Sources; Organisational Issues on Systems Integration; Performance Evaluation and Benchmarking

Authors: Zahra Davar and Janusz R. Getta

Affiliation: University of Wollongong, Australia

Digital Object Identifier: 10.5220/0004887402010208

Proceedings of ICEIS 2014, ISBN: 978-989-758-027-7

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Majority of the global information systems are constructed from a number of heterogeneous distributed database systems that provide a global object-oriented view of the data stored at the remote systems. Such global information systems have two sides: the source side which consists of heterogeneous distributed databases and the global side which provides an integrated view of the database systems from the source side. User applications access data through the iterations over the classes of objects included in a global object-oriented view. The iterations over the classes of objects are implemented as iterations over the data items such as the rows in the relational tables on the source side of the system creating serious performance problems. This paper addresses the performance problem of object-oriented applications accessing data on the source side of global information system through an object-oriented view on a global side. We propose a number of transformation rules which allow for more efficient processing of object-oriented application on the source side. The rules can eliminate the iterations of classes of objects on the global schema side. We prove the correctness of the rules and show how to systematically apply the rule to object-oriented applications. The paper proposes a number of templates for programming of object-oriented applications that allow for easier and more efficient performance tuning transformations.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Coupling and Integrating Heterogeneous Data Sources

Enterprise Information Systems

Performance Evaluation and Benchmarking
Databases and Information Systems Integration

Organisational Issues on Systems Integration

Towards Energy-aware Optimisation of Business Processes

Topics: Integration of Smart Appliances; Optimization Techniques for Efficient Energy Consumption; Energy Management Systems (EMS)

Authors: Beatriz López 1 , Aditya Ghose 2 , Tony Savarimuthu 3 , Mariusz Nowostawski 4 , Michael Winikoff 3 and Stephen Cranefield 3

Affiliations: 1 University of Girona, Spain , 2 University of Wollongong, Australia , 3 University of Otago, New Zealand , 4 Gjøvik University College, Norway

Digital Object Identifier: 10.5220/0004809700680075

Proceedings of SMARTGREENS 2014, ISBN: 978-989-758-025-3

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Time dependent energy tariffs are a matter of concern to managers in organisations, who need to rethink how to allocate resources to business processes so that they take into account energy costs. However, due to the time-dependent costs, the resource optimisation problem needs to be redesigned. In this paper we formalise the energy-aware resource allocation problem, including time-dependent variable costs; and present a case study in which an auction mechanism is used to find a solution. Our results show how the choice of cost (energy, monetary, or duration) affects the schedules obtained.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Energy and Economy

Energy-Aware Systems and Technologies

Optimization Techniques for Efficient Energy Consumption

Energy Management Systems (EMS)

Integration of Smart Appliances

Smart Grids

A Synthesis of a Knowledge Management Framework for Sports Event Management

Topics: Context Identification; Context Formalization; Context Analysis

Authors: Azizul Rahman Abdul Ghaffar 1 , Ghassan Beydoun 1 , Jun Shen 1 , Will Tibben 1 and Dongming Xu 2

Affiliations: 1 University of Wollongong, Australia , 2 University of Queensland, Australia

Digital Object Identifier: 10.5220/0004065004940499

Proceedings of ICSOFT 2012, ISBN: 978-989-8565-19-8

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Due to rapid social development in Asia, sports events have grown larger and many new countries are also hosting them for their first time. In addition to required increase in expenditures and more efficient management, various instances of inadequate planning highlighted the needs for more effective and better sustainable structures to support knowledge transfer between organizers, from one event to the next. The research presented in this paper aims to facilitate the deployment of systematic knowledge management practices to sports event management, to enable sustainable planning. The research in this paper synthesizes is carried out on the Malaysian Games as an example of a sports event management. Furthermore, we introduce knowledge management (KM) framework that was developed based on studies and observations of processes and activities in this organization. The focus is on knowledge that is key to the success of the Malaysian Games and that which can be used to the development of the organization and in future games.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Context

Context Formalization

Paradigm Trends

Context Analysis

Context Identification

Software Engineering

Towards Modelling Real Time Constraints

Topics: Domain-Specific Languages; Modeling Languages; Context Analysis

Authors: Amir Ashamalla 1 , Ghassan Beydoun 1 , Graham Low 2 and Jun Yan 1

Affiliations: 1 University of Wollongong, Australia , 2 University of New South Wales, Australia

Digital Object Identifier: 10.5220/0004064801580164

Proceedings of ICSOFT 2012, ISBN: 978-989-8565-19-8

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Software agents are highly autonomous, situated and interactive software components. They autonomously sense their environment and respond accordingly. Agents behaviours are often constrained by by real time constraints such as the time in which the agent is expected to respond .i.e. time needed for a task to complete. Failing to meet such a constraint can result in a task being not achieved. This possibly causes an agent or a system to fail, depending on how critical the task is to the agent or system as a whole. Our research aims at identifying and modelling real time constraints in the early phase of analysis which helps in creating a more reliable and robust system.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Context

Modeling Languages

Paradigm Trends

Context Analysis

Models

Software Engineering
Domain-Specific Languages

MODELING AWARENESS OF AGENTS USING POLICIES

Topics: Multi-Agent Systems; Human-Machine Cooperation

Authors: Amir Talaei-Khoei 1 , Pradeep Ray 1 , Nandan Parameswaran 1 and Ghassan Beydoun 2

Affiliations: 1 University of New South Wales, Australia , 2 University of Wollongong, Australia

Digital Object Identifier: 10.5220/0003436403530358

Proceedings of ICSOFT 2011, ISBN: 978-989-8425-77-5

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In addition to cooperation, research in disaster management exposes the need for policy awareness to recognize relevant information in enhancing cooperation. Intelligent software agents have previously been employed for problem solving in disaster situations but without incorporating how the agents can create or model awareness. This paper presents an awareness based modelling method, called MAAP, to maintain awareness of software agents of a given set of policies. The paper presents preliminary results indicating that the use of policies as a source of awareness, as facilitated by MAAP, is a potentially effective method to enhance cooperation.
Collapse Button Related Ontology Subjects/Areas/Topics (11)
Agents

Enterprise Information Systems

Multi-Agent Systems

Artificial Intelligence

Human-Machine Cooperation

Software Engineering

Artificial Intelligence and Decision Support Systems

Knowledge Engineering and Ontology Development

Symbolic Systems
Distributed and Mobile Software Systems

Knowledge-Based Systems

STATIC OPTIMIZATION OF DATA INTEGRATION PLANS IN GLOBAL INFORMATION SYSTEMS

Topics: Coupling and Integrating Heterogeneous Data Sources; Performance Evaluation and Benchmarking

Author: Janusz R. Getta

Affiliation: University of Wollongong, Australia

Digital Object Identifier: 10.5220/0003423901410150

Proceedings of ICEIS 2011, ISBN: 978-989-8425-53-9

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Global information systems provide its users with a centralized and transparent view of many heterogeneous and distributed sources of data. The requests to access data at a central site are decomposed and processed at the remote sites and the results are returned back to a central site. A data integration component of the system processes data retrieved and transmitted from the remote sites accordingly to the earlier prepared data integration plans. This work addresses a problem of static optimization of data integration plans in a global information system. Static optimization means that a data integration plan is transformed into more optimal form before it is used for data integration. We adopt an online approach to data integration where the packets of data transmitted over a wide area network are integrated into the final result as soon as they arrive at a central site. We show how data integration expression obtained from a user request can be transformed into a collection of data integration plans, one for each argument of data integration expression. This work proposes a number of static optimization techniques that change an order operations, eliminate materialization and constant arguments from data integration plans implemented as relational algebra expressions.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Coupling and Integrating Heterogeneous Data Sources

Enterprise Information Systems

Performance Evaluation and Benchmarking
Databases and Information Systems Integration

TOWARDS KNOWLEDGE MANAGEMENT IN SPORTS EVENT MANAGEMENT - Context Analysis of Malaysian Biannual Games with CommonKADS

Topics: Intelligent Problem Solving; Knowledge Acquisition

Authors: Azizul Rahman Abdul Ghaffar , Ghassan Beydoun , Jun Shen and Will Tibben

Affiliation: University of Wollongong, Australia

Digital Object Identifier: 10.5220/0003497003770383

Proceedings of ICSOFT 2011, ISBN: 978-989-8425-77-5

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Context Analysis (CA) is typically used as an early phase preceding the development of a knowledge-based systems in order to indicate how the system should interact with its environment and the various stakeholders. We undertake a detailed context analysis of business processes of the Malaysian Games (MG) to highlight blind spots of the process and enable the identification of an initial sports event knowledge management (KM) framework. Firstly, our CommonKADS driven analysis highlights how we can improve the business process and enable the organization to develop, distribute and apply its knowledge resources effectively. Secondly, the paper highlights specific features about the domain of sports events management and accordingly presents a set of recommendations to extend the CA of CommonKADS to improve its applicability to Sports Events Management in general.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence

Knowledge Acquisition

Software Engineering

Enterprise Software Technologies

Knowledge Engineering and Ontology Development

Symbolic Systems
Intelligent Problem Solving

Knowledge-Based Systems

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