bluuebunny/crossref_metadata_2025 huggingface dataset:
Supporting the Allocation of Traumatized Patients with a Decision Support System
Authors: Majchrzak Tim A. , Noack Oliver , Neuhaus Philipp , Ückert Frank
Published: October 2011

In this paper, the authors present a business rules-based decision support system for the allocation of traumatized patients. The assignment of patients to vehicles and hospitals is a task that requires detailed up-to-date information. At the same time, it has to be carried out quickly. The authors propose supporting medical staff with an IT system. The proposed system could be used in cases of mass incidents, as it is problematic, but essential, to provide all injured with adequate healthcare as fast as possible. The contribution is a system based on business rules, which is a novel approach in this context. Its feasibility is proven by prototypic implementation. In this paper, the authors describe the development project’s background as well as the system’s requirements and implementation details. The authors present an exemplary scenario to show the strengths of the proposed approach.
A Method for Eliciting Goals for Business Process Models based on Non-Functional Requirements Catalogues
Authors: Cardoso Evellin , Almeida João Paulo A. , Guizzardi Renata S. S. , Guizzardi Giancarlo
Published: October 2011

While traditional approaches in business process modeling tend to focus on “how” the business processes are performed (adopting a behavioral description in which business processes are described in terms of procedural aspects), in goal-oriented business process modeling, the proposals strive to extend traditional business process methodologies by providing a dimension of intentionality to business processes. One of the key difficulties in enabling one to model goal-oriented processes concerns the identification or elicitation of goals. This paper reports on a case study conducted in a Brazilian hospital, which obtained several goal models represented in i*/Tropos, each of which correspond to a business process also modeled in the scope of the study. NFR catalogues were helpful in goal elicitation, uncovering goals that did not come up during previous interviews prior to these catalogues’ use.
Object-Aware Business Processes
Authors: Künzle Vera , Weber Barbara , Reichert Manfred
Published: October 2011

Despite the increasing maturity of process management technology not all business processes are adequately supported by it. Support for unstructured and knowledge-intensive processes is missing, especially since they cannot be straight-jacketed into predefined activities. A common characteristic of these processes is the role of business objects and data as drivers for process modeling and enactment. This paper elicits fundamental requirements for effectively supporting such object-aware processes; i.e., their modeling, execution, and monitoring. Imperative, declarative, and data-driven process support approaches are evaluated and how well they support object-aware processes are investigated. A tight integration of process and data as major steps towards further maturation of process management technology is considered.
Modelling Information Demand in an Enterprise Context
Authors: Lundqvist Magnus , Sandkuhl Kurt , Seigerroth Ulf
Published: October 2011

Information overload is perceived as a common problem in organisations and enterprises, which calls for new organisational and technological approaches for more pertinent and accurate information supply. The paper contributes to addressing this problem by proposing a method for information demand modelling, which contributes to capturing and understanding the information demand of roles in organisations. This method consists to a large extent of an application of enterprise modelling techniques. Illustrated by a case from automotive industries, lessons learned from information demand modelling are presented and discussed. This includes the specific perspective taken in the method for information demand analysis, common challenges experienced in demand modelling, and the validity of recommendations from participative enterprise modelling for information demand modelling. Furthermore, the paper introduces the notation applied for information demand models and discusses refinement process of this notation.
A Secure Hybrid Network Solution to Enhance the Resilience of the UK Government National Critical Infrastructure TETRA Deployment
Authors: Bennett Devon , Jahankhani Hamid , Dastbaz Mohammad , Jahankhani Hossein
Published: October 2011

In developed economies, electronic communication infrastructures are crucial for daily public, private, and business interactions. Cellular systems are extensively used for business communications, private interaction, and in some cases, public information services, via such uses as mass SMS messaging. The Public Switched Telephone Network (PSTN) is at the core of all communications platforms. It was used primarily for voice communication purposes, but with current technological advances, this platform has been transformed from a voice to voice interface to a web enabled multimedia platform that provides commercial, business, and e-commerce services to the public. In response to the September 11, 2001, terrorist acts in New York City, the UK government introduced a policy of separating and transferring all emergency communication traffic from the PSTN to a digital public safety network based on the TETRA architecture. This paper extends the utilisation of the TETRA deployment by discussing a secure MANET hybrid solution for use in extreme situations as a short/mid-term EMS organisational communication platform for emergency and rescue operations.
A Self-Supervised Approach to Comment Spam Detection Based on Content Analysis
Authors: Bhattarai A. , Dasgupta D.
Published: October 2011

This paper studies the problems and threats posed by a type of spam in the blogosphere, called blog comment spam. It explores the challenges introduced by comment spam, generalizing the analysis substantially to any other short text type spam. The authors analyze different high-level features of spam and legitimate comments based on the content of blog postings. The authors use these features to cluster data separately for each feature using K-Means clustering algorithm. The authors also use self-supervised learning, which could classify spam and legitimate comments automatically. Compared with existing solutions, this approach demonstrates more flexibility and adaptability to the environment, as it requires minimal human intervention. The preliminary evaluation of the proposed spam detection system shows promising results.
User Perceptions of Security Technologies
Authors: Kline Douglas M. , He Ling , Yaylacicegi Ulku
Published: October 2011

In this paper, user perceptions of information systems security are explored through a study of university students. Server authentication, which is often ignored by users, clouded by system administrators, and exploited by hackers, is explored in detail, as it significantly affects usability and requires user knowledge and participation. The study also investigates the respondents’ consistency, gender differences, and assessment of their own knowledge. Although users appear knowledgeable about security technologies, they rely more on peer opinion and reputation of web sites when making security decisions.
Secure Two-Party Association Rule Mining Based on One-Pass FP-Tree
Authors: Kaosar Golam , Yi Xun
Published: October 2011

Frequent Path tree (FP-tree) is a popular method to compute association rules and is faster than Apriori-based solutions in some cases. Association rule mining using FP-tree method cannot ensure entire privacy since frequency of the itemsets are required to share among participants at the first stage. Moreover, FP-tree method requires two scans of database transactions which may not be the best solution if the database is very large or the database server does not allow multiple scans. In addition, one-pass FP-tree can accommodate continuous or periodically changing databases without restarting the process as opposed to a regular FP-tree based solution. In this paper, the authors propose a one-pass FP-tree method to perform association rule mining without compromising any data privacy among two parties. A fully homomorphic encryption system over integer numbers is applied to ensure secure computation among two data sites without disclosing any number belongs to themselves.
E-Voting Risk Assessment
Authors: Pardue Harold , Landry Jeffrey P. , Yasinsac Alec
Published: October 2011

Approximately 25% (according to http://verifiedvoting.com/) of voting jurisdictions use direct recording electronic systems to record votes. Accurate tabulation of voter intent is critical to safeguard this fundamental act of democracy: voting. Electronic voting systems are known to be vulnerable to attack. Assessing risk to these systems requires a systematic treatment and cataloging of threats, vulnerabilities, technologies, controls, and operational environments. This paper presents a threat tree for direct recording electronic (DRE) voting systems. The threat tree is organized as a hierarchy of threat actions, the goal of which is to exploit a system vulnerability in the context of specific technologies, controls, and operational environment. As an abstraction, the threat tree allows the analyst to reason comparatively about threats. A panel of elections officials, security experts, academics, election law attorneys, representatives from governmental agencies, voting equipment vendors, and voting equipment testing labs vetted the DRE threat tree. The authors submit that the DRE threat tree supports both individual and group risk assessment processes and techniques.
A Semiotic Analysis of a Model for Understanding User Behaviours in Ubiquitously Monitored Environments
Authors: Nakata Keiichi , Moran Stuart
Published: October 2011

Improvements in electronics and computing have increased the potential of monitoring and surveillance technologies. Although now widely used, these technologies have been known to cause unintended effects, such as increases in stress in those being observed. Further advancements in technology lead people towards the ‘pervasive era’ of computing, where a new means of monitoring ubiquitously becomes possible. This monitoring differs from existing methods in its distinct lack of physical boundaries. To address the effects of this kind of monitoring, this paper proposes a model consisting of a series of factors identified in the monitoring and pervasive literature believed to influence behaviour. The model aims to understand and predict behaviour, thereby preventing any potential undesirable effects, but also to provide a means to analyse the problem. Various socio-technical frameworks have been proposed to guide research within ubiquitous computing; this paper uses the semiotic framework to analyse the model in order to better understand and explain the behavioural impact of ubiquitous monitoring.
Innovation or Imitation
Authors: Ghili Soheil , Shams Hengameh , Tavana Madjid
Published: October 2011

This paper develops a mathematical model of innovation in technology with two main characteristics. First, it discusses the endogenously made decision on not only how much to innovate, but also, how much to imitate. Second, it demonstrates that the decision to innovate or imitate are not mutually exclusive and a firm can innovate and imitate simultaneously. A mathematical model is presented, and the authors explain the barriers to innovation development and diffusion. The model is further used to investigate the effectiveness of two technology innovation and imitation policies. It is shown that an intellectual property right (IPR) policy will better function if the price of innovation is set to a level lower than the cost of innovation. The concept “superfluous innovation” (innovations whose costs are higher than their benefits) is also proposed and developed through investigating the policy of levying subsidies on innovation.
Technology Acceptance Model and Determinants of Technology Rejection
Authors: Kirlidog Melih , Kaynak Aygul
Published: October 2011

Technology Acceptance Model (TAM) is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an insight into the causes of the system disuse.
Stigmergic Hyperlink
Authors: Sancho Marques Artur , Figueiredo José
Published: October 2011

Inspired by patterns of behavior generated in social networks, a prototype of a new object was designed and developed for the World Wide Web – the stigmergic hyperlink or “stigh”. In a system of stighs, like a Web page, the objects that users do use grow “healthier”, while the unused “weaken”, eventually to the extreme of their “death”, being autopoieticaly replaced by new destinations. At the single Web page scale, these systems perform like recommendation systems and embody an “ecological” treatment to unappreciated links. On the much wider scale of generalized usage, because each stigh has a method to retrieve information about its destination, Web agents in general and search engines in particular, would have the option to delegate the crawling and/or the parsing of the destination. This would be an interesting social change: after becoming not only consumers, but also content producers, Web users would, just by hosting (automatic) stighs, become information service providers too.
Minimizing Empty Truck Loads in Round Timber Transport with Tabu Search Strategies
Authors: Hirsch Patrick
Published: October 2011

In Central Europe transportation accounts for an estimated 30% of the total costs of round timber and is an essential element of cost. In this paper, Tabu Search based methods for solving the Timber Transport Vehicle Routing Problem (TTVRP) are presented. The TTVRP uses solutions of preceding optimization problems as input that are obtained with standard solver software. The presented methods differ with respect to the considered neighborhood and the static or dynamic setting of their parameters. They are verified with real life data in extensive numerical studies and compared to the results obtained with the solver software Xpress. It is shown that the methods are capable to generate good solutions in reasonable computing time.
Technology Adoption and Educational Change in Turkey
Authors: Kurt Serhat
Published: October 2011

The purpose of this research was to examine technology adoption and the educational change process. This paper found eight factors essential to technology adoption in countries that are heavily centralized and strongly affected by external forces (globalism etc.). These factors are communication, expertise capacity, minimal bureaucracy, continuous research, individual change and organizational change, peer schools, accountability, transparency, and owning the change: commitment.
A Study of the Cascading Effects of Ambulance Diversion among Hospitals
Authors: Kuruvilla Abey , Alexander Suraj M. , Li Xiaolin
Published: October 2011

This research effort is undertaken to determine the impact that one hospital’s diversion status has on other hospitals in a region and the strength of these interactions. The conditional probability of one hospital going on diversion given that another is already on diversion is evaluated. Based on this analysis, the strength of interactions among the hospitals is established. Through statistical analyses of historical data, the strength of the mutual effects of diversion among a collection of hospitals is determined. These effects are mutual if one hospital’s diversion status affected another’s, then the reverse was also true. The intensity of these interactions between hospitals is varied, some being stronger than others. The model illustrates an approach to studying the cascading effects of diversion among hospitals in a region. This is important, because the status of any hospital in a region can signal the likelihood of impending diversion in every other hospital in the region. This allows actions that might prevent the occurrence of diversion or mitigate the cascading effects of Emergency Medical Systems diversion.
Effects of Adaptivity and Other External Variables on Mobile Service Adoption
Authors: Polat Ebru , Basoglu Nuri , Daim Tugrul
Published: October 2011

User Interfaces act as the interaction layer between human and computer and have an important role in system adoption. According to technology acceptance model, acceptance of a system is explained as a function of perceived usefulness and perceived ease of use. Since there are several external variables that have an impact on those variables, the content and interface design of every single application should be addressed specifically to enhance users’ intention to use the system. Adding adaptive features into systems may be one of the approaches to address this phenomenon. This paper identifies external variables including adaptive behavior impacting acceptance of a mobile reservation system through implementation of two prototypes.
The Development of Parameters and Warning Algorithms for an Intersection Bus-Pedestrian Collision Warning System
Authors: Chang Chien-Yen , Chang Ting-Wei
Published: October 2011

This study presents the conceptual design of an intersection bus-pedestrian collision warning system for bus drivers approaching an intersection. The basic parameters of the proposed design concept include the bus drivers’ perception-reaction time, the emergency deceleration rate of the bus, and pedestrian walking speed. A bus driving simulation was designed and conducted to analyze bus drivers’ responses to unexpected pedestrians crossing unsignalized intersections or signalized intersections during a green light interval for parameter analysis. The timings of auditory warnings and visual warnings, the locations for vehicle detectors and pedestrian detectors, and the locations for visual warning devices were also developed after analyzing the experimental results. The experimental results also highlight some important characteristics of bus driving behavior at intersections. Moreover, bus drivers really pay attention to the warning messages. Finally, this study develops and discusses some warning algorithms.
A Research Journey into Maturing the Business Information Security of Mid Market Organizations
Authors: Bobbert Yuri , Mulder Hans
Published: October 2011

Most information security methodologies are aimed at large enterprise organizations with a top-down structure, while relatively smaller organizations have insufficient knowledge to adopt this methodology. Most of the frameworks used by enterprises focus on high-level policy-making and the overwhelming amount of controls might suffocate practitioners in smaller organizations. This article examines the results of an exploratory study, performed in the Netherlands in Q1&Q2 of 2010. The study used expert panel research followed by a survey. The research found essential interventions to easily and effectively increase security maturity for mid market organizations. The research also found barriers for not implementing these interventions by the midmarket. This paper provides a minimum core set of practices for organizations. It shows that mid market organizations struggle with implementing relevant interventions. This research contributes a new pragmatic approach to assist mid market organizations’ practitioners with more guidance on how to effectively establish the desired state of security maturity.
Maximizing the Flow Reliability in Cellular IP Network Using PSO
Authors: Anbar Mohammad , Vidyarthi Deo P.
Published: October 2011

A Cellular IP (CIP) network involves a bulk of data transmission. It is highly reliable and guarantees the safe delivery of the packets required in such systems. Reliable traffic performance leads to efficient and reliable connectivity in Cellular IP network. CIP network, which consists of mobile hosts, base stations, and links, are often vulnerable and prone to failure. During the routing operation in the network, the base station, which works as router for the transmitted packets, may fail to perform. Reliable transmission is desirable, in terms of services of the base stations in the network, reliable routing, and processing the data. In this paper, the authors design a reliability model to increase the reliability of a flow, consisting of packets, passing through routers in a Cellular IP network. Particle Swarm Optimization (PSO) is able to solve a class of complex optimization problems. PSO is used to improve the reliability of the flow in CIP network. The proposed model studies the effects of packet processing rate (), packet arrival rate (), and the number of packets per flow on the reliability of the system. A simulation experiment is conducted and results reveal the effectiveness of the model.
Location Management in PCS Networks Using Base Areas (BAs) and 2 Level Paging (2LP) Schemes
Authors: Ali Hesham A. , Saleh Ahmed I. , Ali Mohammed H.
Published: October 2011

The main objective of PCS networks is to provide “anytime-anywhere” cellular services. Accordingly, lost calls as well as the network slow response have become the major problems that hardly degrade the network reliability. Those problems can be overcome by perfectly managing the Mobile Terminals (MTs) locations. In the existing location management (LM) scheme, Location Area (LA) is the smallest unit for registration. A MT must register itself when passing through its LA boundary to a neighboring one. Moreover, such registration takes place at the MTs’ master HLR (even though currently managed by another HLR), which increases communication costs. As a result, existing LM scheme suffers from; (1) excessive location registrations by MTs located around LA boundaries (ping-pong effect) and (2) requiring the network to poll all LA cells to locate the callee MT. In this paper, a novel LM strategy is introduced by restructuring LAs into smaller areas called Base Areas (BAs), which impacts the paging cost. The proposed LM strategy uses caching to reduce unwanted updates and 2LP to reduce paging cost. Experimental results show that the proposed scheme introduces a distinct improvement in network response and tracing process.
Application of Extrinsic Information Transfer Charts to Anticipate Turbo Code Behavior
Authors: Lokshina Izabella
Published: October 2011

This paper examines turbo codes that are currently introduced in many international standards, including the UMTS standard for third generation personal communications and the ETSI DVB-T standard for Terrestrial Digital Video Broadcasting. The convergence properties of the iterative decoding process associated with a given turbo-coding scheme are estimated using the analysis technique based on so-called extrinsic information transfer (EXIT) chart. This approach provides a possibility to anticipate the bit error rate (BER) of a turbo code system using only the EXIT chart. It is shown that EXIT charts are powerful tools to analyze and optimize the convergence behavior of iterative systems utilizing the turbo principle. The idea is to consider the associated SISO stages as information processors that map input a priori LLR’s onto output extrinsic LLR’s, the information content being obviously assumed to increase from input to output, and introduce them to the design of turbo systems without the reliance on extensive simulation. Compared with the other methods for generating EXIT functions, the suggested approach provides insight into the iterative behavior of linear turbo systems with substantial reduction in numerical complexity.
A Survey of Cloud Computing Challenges from a Digital Forensics Perspective
Authors: Carlton Gregory H. , Zhou Hill
Published: October 2011

Computing and communication technologies have merged to produce an environment where many applications and their associated data reside in remote locations, often unknown to the users. The adoption of cloud computing promises many benefits to users and service providers, as it shifts users’ concerns away from the physical location of system components and toward the accessibility of the system’s services. While this adoption of cloud computing may be beneficial to users and service providers, it increases areas of concern for computer forensic examiners that need to obtain data from cloud computing environments for evidence in legal matters. The authors present an overview of cloud computing, discuss the challenges it raises from a digital forensics perspective, describe suitable tools for forensic analysis of cloud computing environments, and consider the future of cloud computing.
Distributed and Fixed Mobility Management Strategy for IP-based Mobile Networks
Authors: Upadhyay Paramesh C. , Tiwari Sudarshan
Published: October 2011

Hierarchical Mobile IP (HMIP) reduces the signaling delay and number of registration messages to home agent (HA) by restricting them to travel up to a local gateway only. It uses centralized gateways that may disrupt the communications, in the event of a gateway failure, between a gateway and the mobile users residing with underlying foreign agents (FAs) in a regional network. Dynamic mobility management schemes, using distributed gateways, proposed in literature, tend to circumvent the problems in HMIP. These schemes employ varying regional network sizes or hierarchy levels that are dynamically selected according to call-to-mobility ratio (CMR) of individual user. In reality, this information cannot be readily available in practice. Also, any unusual alterations in CMR values may hamper the system performance. This paper proposes a new mobility management strategy for IP-based mobile networks, which is independent of individual user history. The proposed scheme uses subnet-specific registration areas and is fully distributed so that the signaling overheads are evenly shared at each FA. The scheme provides a viable alternative to dynamic mobility management schemes for its simplicity, performance, and ease of implementation.
Construction Briefing Process in Malaysia
Authors: Jaafar Mastura , King Arkin Kong Chung
Published: October 2011

Malaysia is progressing smoothly toward the achievement of Vision 2020. In achieving this vision, the country has to undergo tremendous development. Aside from providing houses for the people, the construction industry has to support the development of other industries with various types of wide-scale projects implemented by either public or private sectors. It is acknowledged that project briefing is the most important process conducted during the initial stage of project development. The research was undertaken to study the public sector’s construction briefing process and to investigate the problems arising during the process. Data was gathered through face-to-face interview. The data gathered supported that the public sector was using the RIBA plan of work but leaning towards the Netherlands approach. In addition, the project brief was seen as a powerful tool to be controlled at the early stage of project planning (initial stage). The result supported previous studies that pointed out the lack of knowledge and the involvement of inexperienced parties, either clients or consultants, as the main barriers for the integrated and strategic project briefing. This study contributes useful and beneficial information for the public sector to mitigate the project problems.
The Impact of Project Management Methodologies on Project Performance
Authors: Rozenes Shai
Published: October 2011

The project management domain includes many well-defined methodologies such as the Project Management Body of Knowledge: PMBoK (Project Management Institute, 2008). On the other hand, project failures rate is quite high (Woolridge, Hale, Hale, & Sharpe, 2009). An interesting question is: Does using these methods improve project performances? This paper reports on a study that was performed to investigate the added value of using a project management methodology versus an intuitive managing approach. The results indicate that the project performances improved by using a systematic approach.
Stakeholder Challenges in Information Systems Project Offshoring
Authors: Haried Peter
Published: October 2011

This study of international information systems (IS) offshoring highlights the idea that project success or failure is often in the eye of the beholder and that proper attention needs to be provided to both client and vendor perspectives. This research contributes by identifying noteworthy IS offshoring challenges faced by client and vendor stakeholders. This research synthesizes key findings from eight dyadic case studies consisting of 56 interviews in total from both client and vendor firms detailing their offshore experiences. The case investigations lead to the discovery of nine unique challenges encountered by client and vendor stakeholders. The challenges include a wide assortment of economic, personal responsibilities/expectations, and organizational offshore project management issues. The reported challenges can suitably guide client and vendor project managers in managing international IS offshore projects as well guide academic researchers to better understand techniques for managing offshore IS projects.
Project Commitment in the Context of Information Security
Authors: Koskosas Ioannis , Sariannidis Nikolaos
Published: October 2011

This research investigates the role of project commitment in the context of information systems security. In doing so, the research adopts a psychological point of view by exploring and discussing the concept of project commitment in setting information security goals. Information security can be viewed as the efficient control of uncertainty arising from malicious acts intended to exploit valuable assets, and in the context of information systems the valuable assets under consideration are data. Data were collected by using an interpretive approach through in-depth interviews and observation within a single case study in Greece. The contribution of this research to interpretive information-systems consists of the study of project commitment and goal theory in an information security-management context, and its grounding within an interpretive epistemology. Ultimately, this research promotes an interdisciplinary and interorganizational theory that fosters a dialogue transcending industry-specific contexts and explores different management practices that can improve security project commitment and management in its real life context.
Information Technology Project Performance
Authors: Lind Mary R. , Culler Evetta
Published: October 2011

In this exploratory research study the critical success factors resulting in Information Technology (IT) project performance were assessed. Previous research supported associations between critical success factors and information technology project performance. A survey of 116 different projects at firms in the United States was used as the context to examine the critical success factors in project performance. The examination of the data analysis showed the size of the project, clarity of goals and mission, availability of required technology, and client acceptance of the project had a significant impact on project performance.
A Hyper-Heuristic Using GRASP with Path-Relinking
Authors: Jiang He , Qiu Junying , Xuan Jifeng
Published: October 2011

The goal of hyper-heuristics is to design and choose heuristics to solve complex problems. The primary motivation behind the hyper-heuristics is to generalize the solving ability of the heuristics. In this paper, the authors propose a Hyper-heuristic using GRASP with Path-Relinking (HyGrasPr). HyGrasPr generates heuristic sequences to produce solutions within an iterative procedure. The procedure of HyGrasPr consists of three phases, namely the construction phase, the local search phase, and the path-relinking phase. To show the performance of the HyGrasPr, the authors use the nurse rostering problem as a case study. The authors use an existing simulated annealing based hyper-heuristic as a baseline. The experimental results indicate that HyGrasPr can achieve better solutions than SAHH within the same running time and the path-relinking phase is effective for the framework of HyGrasPr.
Preventative Actions for Enhancing Online Protection and Privacy
Authors: Furnell Steven , von Solms Rossouw , Phippen Andy
Published: October 2011

Many citizens rely upon online services, and it is certain that this reliance will increase in the future. However, they frequently lack a solid appreciation of the related safety and security issues, and can be missing out on an essential aspect of awareness in everyday life. Indeed, users are often concerned about online threats, but it would be stretching the point to claim that they are fully aware of the problems. Thus, rather than actually protecting themselves, many will simply accept that they are taking a risk. This paper examines the problem of establishing end-user eSafety awareness, and proposes means by which related issues can be investigated and addressed. Recognising that long-term attitudes and practices will be shaped by early experiences with the technology, it is particularly important to address the issue early and improve awareness amongst young people. However, the problem is unlikely to be addressed via the approaches that would traditionally be applied with adult users. As such, the paper examines information gathering and awareness-raising strategies drawing from qualitative methodologies in the social sciences, whose pluralistic approach can be effectively applied within school contexts.
Probabilistic Models for Social Media Mining
Authors: Tsai Flora S.
Published: October 2011

This paper proposes probabilistic models for social media mining based on the multiple attributes of social media content, bloggers, and links. The authors present a unique social media classification framework that computes the normalized document-topic matrix. After comparing the results for social media classification on real-world data, the authors find that the model outperforms the other techniques in terms of overall precision and recall. The results demonstrate that additional information contained in social media attributes can improve classification and retrieval results.
Towards a Flexible and Adaptable Modeling of Business Processes
Authors: Bekki Khadhir , Belachir Hafida
Published: October 2011

This article proposes a flexible way in business process modeling and managing. Today, business process needs to be more flexible and adaptable. The regulations and policies in organizations, as origins of change, are often expressed in terms of business rules. The ECA (Event-condition-action) rule is a popular way to incorporate flexibility into a process design. To raise the flexibility in the business processes, the authors consider governing any business activity through ECA rules based on business rules. For adaptability, the separation of concerns supports adaptation in several ways. To cope with flexibility and adaptability, the authors propose a new multi concern rule based model. For each concern, each business rule is formalized using their CECAPENETE formalism (Concern -Event-Condition-Action-Post condition- check Execution- Number of check -Else-Trigger-else Event). Then, the rules based process is translated into a graph of rules that is analyzed in terms of relations between concerns, reliably and flexibility.
An Experimental Study for the Effect of Stop Words Elimination for Arabic Text Classification Algorithms
Authors: Al-Shargabi Bassam , Olayah Fekry , Romimah Waseem AL
Published: October 2011

In this paper, an experimental study was conducted on three techniques for Arabic text classification. These techniques are Support Vector Machine (SVM) with Sequential Minimal Optimization (SMO), Naïve Bayesian (NB), and J48. The paper assesses the accuracy for each classifier and determines which classifier is more accurate for Arabic text classification based on stop words elimination. The accuracy for each classifier is measured by Percentage split method (holdout), and K-fold cross validation methods, along with the time needed to classify Arabic text. The results show that the SMO classifier achieves the highest accuracy and the lowest error rate, and shows that the time needed to build the SMO model is much lower compared to other classification techniques.
Medical Domain Knowledge and Associative Classification Rules in Diagnosis
Authors: Ha Sung Ho
Published: October 2011

Hospital information systems have been frustrated by problems that include congestion, long wait time, and delayed patient care over decades. To solve these problems, data mining techniques have been used in medical research for many years and are known to be effective. Therefore, this study examines building a hybrid data mining methodology, combining medical domain knowledge and associative classification rules. Real world emergency data are collected from a hospital and the methodology is evaluated by comparing it with other techniques. The methodology is expected to help physicians to make rapid and accurate diagnosis of chest diseases.
Knowledge Management Process and Organizational Performance in SMEs
Authors: Supyuenyong Varintorn , Swierczek Fredric William
Published: October 2011

The benefits of knowledge management are recognized mainly for the large organization. Small and medium-sized enterprises (SMEs) can also achieve the real benefits of KM. This paper investigates the relationship between the KM process and the organizational performance of SMEs. The objective of this paper is to assess the KM process and its relationship to different components of organizational performance in small and medium enterprise application service providers in Thailand. A survey approach was used with a sample of 81 respondents. The results show that knowledge organization, and retention and knowledge utilization improve individual performance, product performance, and overall organizational performance. Only knowledge organization and retention increases process performance. Knowledge dissemination influences customer satisfaction and reputation and cost reduction. These results demonstrate the benefits of the KM practices on the organizational performance in SMEs.
Assessing Knowledge Management Needs
Authors: Erickson G. Scott , Rothberg Helen N.
Published: October 2011

Most knowledge management work encourages practicing managers to pursue ever more knowledge development and sharing. There is an assumption that more knowledge always leads to greater competitive advantage and superior financial performance. Even though this may be the case, it is far from proven, and the application and use of knowledge management techniques may actually be more strategic, with optimal levels of effort and spending determined by differing circumstances. This study investigates these topics by assessing whether knowledge strategies might vary by industry, asset structure, and other potential variables.
Managing Professions for Knowledge Management
Authors: Scarso Enrico , Bolisani Ettore
Published: October 2011

In the last years, Knowledge Management (KM) studies have focused on the foundations of this “new managerial discipline”. Today, there is an increasing need to transform the theoretical speculations into managerial tools, and to find solutions to practical questions concerning daily KM activity. A key issue that still requires investigation regards the management of human resources devoted to KM. The paper analyzes this topic by means of an in-depth investigation of the relevant experience of some leading companies. In particular it examines the problem of managing new roles and tasks for KM, the issue of developing structured KM units, and the question of evaluating KM activities. A discussion of the possible implications for research and management is carried out in the conclusion.
How Should Students Prepare for Exams
Authors: Smiderle David , Green Patricia L. Weigel
Published: October 2011

This study identifies the key best practices College Students should utilize from a knowledge management perspective in order to best prepare for mid-term or final exams. This study also ascertains whether all stages of the knowledge cycle are required in order to achieve success. Data was collected from both subject matter experts and students in regards to exam preparation. The findings suggest that knowledge management may be a useful framework to identify both threshold and exceptional behaviours required to achieve knowledge based goals or outcomes. The findings of this study also provide some validation regarding a methodology which can be used in organizations to identify key best practices related to knowledge management.
Effects of Virtual World Environments in Student Satisfaction
Authors: Saleeb Noha , Dafoulas Georgios A.
Published: October 2011

Universities and educational institutions are currently becoming more dependent on delivering courses within online virtual worlds, such as 3D Virtual Learning Environments (3D VLES). There is insufficient research on how environmental and architectural design elements of 3D virtual educational spaces and buildings inside these virtual worlds can affect the e-learning process of the students and their satisfaction and contentment. This study investigates students’ satisfaction from different architectural features used in 3D educational facilities by recording, from surveys, students’ degree of agreeability toward varied design characteristics in different learning spaces within 3D VLES. Defining best perceived design traits can improve 3D educational space design to augment a student’s overall e-learning experience, and lead to general design guidelines for future creation of 3D virtual educational facilities.
An Analysis of the Impact of 2.0 Tools and Technologies on Organizational Processes
Authors: Pascual-Miguel Félix , Chaparro-Peláez Julián , Hernández-García Ángel
Published: October 2011

In this paper, the authors present results from a study on the usage rate of 2.0 tools and technologies among Spanish enterprises. The main objective of the study is to analyze, from the perceptions of executives, the influence of social software tools on a set of business processes. This analysis has been made using two graphic tools: the “2.0 Success Matrix” and the “Tool’s Footprint”. Both the review of literature and the empirical work have lead to important findings and conclusions.
Scaffolding Pedagogical Planning and the Design of Learning Activities
Authors: Bottino Rosa Maria , Ott Michela , Tavella Mauro
Published: October 2011

This paper examines pedagogical planning as a means to foster the introduction of ICT (Information and Communication Technologies) tools into classroom practice. The authors illustrate IAMEL, an ICT-enhanced system aimed at supporting teachers in the process of designing, structuring and planning educational activities. Pedagogical planning, which is a traditional school practice, is meant as the description of a learning situation aimed at the acquisition of a precise body of knowledge through the specification of roles, activities, educational theories and methods. ICT-enhanced pedagogical planning offers significant added value to the intended scope: 1) helps teachers fully express their didactical ideas and finalize the educational approaches and methods to be adopted 2) supports the sharing of practice among teachers and communities of teachers 3) fosters “a posteriori” reflections on the planned educational experience, once implemented in real school settings.
Integrating the LMS in Service Oriented eLearning Systems
Authors: Leal José Paulo , Queirós Ricardo
Published: October 2011

Learning management systems are routinely used for presenting, solving and grading exercises with large classes. However, teachers are constrained to use questions with pre-defined answers, such as multiple-choice, to automatically correct the exercises of their students. Complex exercises cannot be evaluated automatically by the LMS and require the coordination of a set of heterogeneous systems. For instance, programming exercises require a specialized exercise resolution environment and automatic evaluation features, each provided by a different type of system. In this paper, the authors discuss an approach for the coordination of a network of eLearning systems supporting the resolution of exercises. The proposed approach is based on a pivot component embedded in the LMS and has two main roles: 1) provide an exercise resolution environment, and 2) coordinate communication between the LMS and other systems, exposing their functions as web services. The integration of the pivot component in the LMS relies on Learning Tools Interoperability (LTI). This paper presents an architecture to coordinate a network of eLearning systems and validate the proposed approach by creating such a network integrated with LMS from two different vendors.
Multiple Solitudes
Authors: Robertson Lorayne , Thomson Dianne
Published: October 2011

In this paper, the authors examine the potential and the reality of pan-Canadian digital curriculum policy access in the current web-enabled global landscape. The authors discuss theory related to the affordances offered by digital technologies for the sharing of research and policy, as well as theory relative to knowledge mobilization and communities of practice, both of which support collaboration and consultation for informed policy development. The authors present their findings from two investigations to test digital access to curriculum policies across Canada’s provinces and territories through their Ministry of Education websites. Through this analysis, the authors provide evidence of the current affordances and barriers related to digital access to curriculum policies and offer suggestions to facilitate knowledge mobilization around curricular responses to child and adolescent health issues.
A Quantitative Approach to Identify the Arguments that Support Decisions in E-Cognocracy
Authors: Toncovich Adrián , Turón Alberto , Escobar Maria Teresa , Moreno-Jiménez José Maria
Published: October 2011

E-cognocracy (Moreno-Jiménez, 2003, 2004, 2006; Moreno-Jiménez & Polasek, 2003, 2005) is a new democratic system that adjusts traditional or representative democracy to meet the needs and challenges of the Knowledge Society. If e-democracy is understood as the government of the people by means of information and communication technology (ICT), e-cognocracy is the government of knowledge and wisdom by means of ICT. This “social wisdom” is created in a cognitive constructivist way through the network by all citizens interested in the resolution of the considered problem (García Lizana & Moreno-Jiménez, 2008). To extract and share the knowledge associated with the scientific resolution of public decision-making problems, e-cognocracy must identify the arguments that support decisions by analyzing the messages and comments provided by the actors involved in the decision-making process through the collaborative tools used in the discussion phase. Therefore, this paper presents different decisional tools based on the quantitative values corresponding to the decision makers’ preferences, which are oriented to the identification of the outstanding comments. The arguments supporting the decisions made by the different actors are obtained, in a further step, from these comments by using text-mining techniques.