Incorporating a knowledge perspective into security risk assessments

Purpose – Many methodologies exist to assess the security risks associated with unauthorized leakage, modification and interruption of information used by organisations. This paper argues that these methodologies have a traditional orientation towards the identification and assessment of technical information assets. This obscures key risks associated with the cultivation and deployment of organisational knowledge. The purpose of this paper is to explore how security risk assessment methods can more effectively identify and treat the knowledge associated with business processes.

Design/methodology/approach – The argument was developed through an illustrative case study in which a well-documented traditional methodology is applied to a complex data backup process. Follow-up interviews were conducted with the organisation’s security managers to explore the results of the assessment and the nature of knowledge “assets” within a business process.

Findings – It was discovered that the backup process depended, in subtle and often informal ways, on tacit knowledge to sustain operational complexity, handle exceptions and make frequent interventions. Although typical information security methodologies identify people as critical assets, this study suggests a new approach might draw on more detailed accounts of individual knowledge, collective knowledge and their relationship to organisational processes.

Originality/value – Drawing on the knowledge management literature, the paper suggests mechanisms to incorporate these knowledge-based considerations into the scope of information security risk methodologies. A knowledge protection model is presented as a result of this research. This model outlines ways in which organisations can effectively identify and treat risks around process knowledge critical to the business.

Towards a model to explain knowledge sharing in complex organizational environments

Effective knowledge sharing underpins the day-to-day work activities in knowledge-intensive organizational environments. This paper integrates key concepts from the literature towards a model to explain effective knowledge sharing in such environments. It is proposed that the effectiveness of knowledge sharing is determined by the maturity of informal and formal social networks and a shared information and knowledge-based artefact network (AN) in a particular work context. It is further proposed that facilitating mechanisms within the social and ANs, and mechanisms that link these networks, affect the overall efficiency of knowledge sharing in complex environments. Three case studies are used to illustrate the model, highlighting typical knowledge-sharing problems that result when certain model elements are absent or insufficient in a particular environment. The model is discussed in terms of diagnosing knowledge-sharing problems, organizational knowledge strategy, and the role of information and communication technology in knowledge sharing.

A naïve, salience-based method for speaker identification in fiction books

This paper presents a salience-based technique for the annotation of directly quoted speech from fiction text. In particular, this paper determines to what extent a naïve (without the use of complex machine learning or knowledge-based techniques) scoring technique can be used for the identification of the speaker of speech quotes. The presented technique makes use of a scoring technique, similar to that commonly found in knowledge-poor anaphora resolution research, as well as a set of hand-coded rules for the final identification of the speaker of each quote in the text. Speaker identification is shown to be achieved using three tasks: the identification of a speech-verb associated with a quote with a recall of 94.41%; the identification of the actor associated with a quote with a recall of 88.22%; and the selection of a speaker with an accuracy of 79.40%.

Striving for educational equity and ‘world-class quality’ schools in Mauritius in global times

Concerns that the education system in Mauritius has not been adequately preparing students for work and life, and unsatisfactory academic achievement in schools, have fuelled the government’s drive to improve the quality of schools. These concerns exist within education structures that systematically segregate students into ‘star’ schools and less desirable schools that curtail the education experience of the majority of Mauritian children. Within this context, Mauritian education authorities have attempted various educational reforms aiming at ‘World Class Quality Education’ so as to contribute to an efficient and dynamic workforce and to meet the needs of an increasingly competitive, knowledge-based and globalised economy. Reflecting the Mauritian government’s ‘quality’ agenda and its focus on the work of school leaders, this article reports the findings of research exploring Mauritian principals’ views about the usefulness or otherwise of Total Quality Management (TQM) principles in raising educational standards. It focuses specifically on whether and how principals are addressing the mounting challenges brought about by globalisation. The findings indicate that, despite the government’s efforts at reforms, the education system detracts from ambitions to adequately prepare all Mauritian children for work and life in a globalised and networked world. The article argues that school leaders need to take proactive responsibility for ensuring that all Mauritian children have access to an education system that cultivates their participation as active citizens of the global community.

Food hygiene knowledge in adolescents and young adults

Purpose – The purpose of this paper is to utilise the comprehensive Food Safety Knowledge Instrument to compare food hygiene knowledge across a population of high school and university students in Australia and the UK. Design/methodology/approach – In total, 475 students from secondary schools and universities in Australia and the UK took part in a survey, which included a Food Safety Knowledge Instrument and demographic items. Findings – Food safety knowledge was generally very low. High school students had a mean score of only 38 per cent, while university students just reached a “pass” with a mean of 54 per cent. Demographics accounted for 41 per cent of variance in food knowledge scores. Female gender, being at university rather than high school, and living out of home rather than with parents were associated with greater food knowledge. Residing in Australia rather than the UK and being older were also associated with greater knowledge; however, these findings were subsumed by education group. Socio-economic status was not a significant predictor of food knowledge. Practical implications – Identifying demographic and cultural differences in food knowledge can help to identify at-risk populations to better target in theory and knowledge-based interventions. Originality/value – This study is the first to apply the knowledge instrument in an Australian population. Understanding the baseline knowledge in this population is an important first step at developing effective interventions for food safety.

Organisational downsizing and knowledge sharing

Organisational downsizing has proven a popular strategic intervention in the new globalised competitive business environment. Yet surprisingly little research has been conducted in the knowledge management domain to help scholars and managers better understand the effects of downsizing on organisational knowledge sharing. This paper reports some of the key findings from an interpretive investigation of organisational knowledge sharing in a division of large Australian organisation where downsizing had recently taken place. The findings reveal structural and cultural effects stemming from downsizing, and shows how these effects influenced knowledge sharing. The paper provides sets of knowledge-based impacts of downsizing on (1) organisational structure and (2) organisational culture at the case organisation. Important implications for knowledge management research and practice are discussed.

Knowledge management view of environmental sustainability in manufacturing SMEs in the Philippines

This study highlights the role of knowledge management (KM) in enabling small and medium enterprises (SMEs) in a manufacturing industry in a developing country to engage in environmentally sustainable business. Drawing on the knowledge-based view of the firm, it argues that resource-constrained SMEs rely on their relational capital to augment their capability to innovate in order to find better and environmentally sound ways of doing business. However, SMEs need to harness their KM orientation in order to leverage the knowledge-based resources emanating from their relational capital towards building their innovation capability. This capability is essential in integrating effective environmental management practices in business. The findings from our analysis of data from a survey of 241 manufacturing SMEs in the Philippines support these hypotheses and underscore the importance of developing an organisational capability to engage in KM in order to adopt sustainable business practices. The implications of the findings are also discussed.

Tracking the nomadic life of the eductional researcher: what future for feminist public intellecturals and the performative university?

Is the idea of the liberal university dead, has the postmodern university any chance of being emancipatory, has the theory–practice divide merely collapsed in an era of 'new knowledge work', or has the university just become one aspect of market states and global capitalism? Knowledge-based economies locate universities as central to the commodification and management of knowledge, while at the same time the legitimacy of the university and the academic as knowledge producers is challenged by postmodernist, feminist, post-colonial and indigenous claims within a wider trend towards the 'democratisation of knowledge' and a new educational instrumentalism and opportunism. What becomes of the educational researcher, and indeed their professional organisations, in this changing socio-political and economic scenario? Is our role one of policy service, policy critique, technical expert or public intellectual? In particular what place is there for feminist public intellectuals in a so-called era of post feminism and public–private convergence? The paper draws on feminist and critical perspectives to mount a case for the importance of the public intellectual in the performative postmodern university.

Study of ensemble strategies in discovering linear casual models

Determining the causal structure of a domain is frequently a key task in the area of Data Mining and Knowledge Discovery. This paper introduces ensemble learning into linear causal model discovery, then examines several algorithms based on different ensemble strategies including Bagging, Adaboost and GASEN. Experimental results show that (1) Ensemble discovery algorithm can achieve an improved result compared with individual causal discovery algorithm in terms of accuracy; (2) Among all examined ensemble discovery algorithms, BWV algorithm which uses a simple Bagging strategy works excellently compared to other more sophisticated ensemble strategies; (3) Ensemble method can also improve the stability of parameter estimation. In addition, Ensemble discovery algorithm is amenable to parallel and distributed processing, which is important for data mining in large data sets.

Understanding parental motivators and barriers to uptake of child poison safety strategies: a qualitative study

Objectives: To develop an understanding of factors acting as barriers and motivators to parental uptake of child poison safety strategies.

Design: A qualitative study involving semistructured interviews and focus groups. A grounded theory approach was used for the collection and analysis of data.

Participants: Sixty five parents of children under 5 years of age, some of whom had experienced an unintentional child poisoning incident.

Results: A range of knowledge based, environmental, and behavioral barriers to comprehensive parental uptake of poison safety practices were identified. As a result there tended to be only partial implementation of safety initiatives in the home. Selection of safety practices was often guided by the interests and behaviors of the child. This made the child vulnerable to changes in the home environment, inadequate supervision, and/or shifts in their own behavior and developmental ability. Personal or vicarious exposure of a parent to a child poisoning incident was a significant motivator for parental review of safety practices.

Conclusion: Environmental measures targeting child resistant containers, warning labels, and lockable poisons cupboards will support parents’ efforts to maintain poison safety. Additional education campaigns using stories of actual poisoning incidents may help to increase awareness of risk and encourage increased uptake.

Mlearning for India : any potential?

The trend towards mLearning is attributed to the growth of knowledge based societies (UNESC0,2005). In this paper, we examine if there is a case for mLearning in India, a developing nation with certain unique contributory factors such as rapid diffusion of mobile communication technologies negating the need for fixed line infrastructure; and the rising demand for flexible learning approaches by the eager, upwardly mobile, middle class population. Our research is informed by learning theory of constructivism that seems to underlie flexible adult learning in modem contexts. A speculative ongoing debate is examined through the lens of critical discourse analysis, to present an outlook for India. We open a launching platform for empirical work in India that would enable building of relevant models by extrapolating findings from this initial research. More significantly, the stakeholders in mLearning such as mobile technology/service providers, education providers and organisations that foster staff development in particular may be beneficiaries from the findings of this preliminary research.

Multiple-criteria decision analysis for integrated catchment management

Implementation of integrated catchment management (ICM) is hampered by the lack of a conceptual framework for explaining how landowners select farming systems for their properties. Benefit–cost analysis (a procedure that estimates the costs and benefits of alternative actions or policies) has limitations in this regard, which might be overcome by using multiple-criteria decision analysis (MCDA). MCDA evaluates and ranks alternatives based on a landowner's preferences (weights) for multiple-criteria and the values of those criteria. A MCDA approach to ICM is superior to benefit–cost analysis which focuses only on the monetary benefits and costs, because it: 1) recognizes that human activities within a catchment are motivated by multiple and often competing criteria and/or constraints; 2) does not require monetary valuation of criteria; 3) allows trade-offs between criteria to be measured and evaluated; 4) explicitly considers how the spatial configuration of farming systems in a catchment influences the values of criteria; 5) is comprehensive, knowledge-based, and stakeholder oriented which greatly increases the likelihood of resolving catchment problems; and 6) allows consideration of the fairness and sustainability of land and water resource management decisions. A MCDA based on an additive, multiple-criteria utility function containing five economic and environmental criteria was used to score and rank five farming systems. The rankings were based on the average criteria weights for a sample of 20 farmers in a US catchment. The most profitable farming system was the lowest-ranked farming system. Three possible reasons for this result are evaluated. First, the MCDA method might cause respondents to express socially acceptable attitudes towards environmental criteria even when they are not important from a personal viewpoint. Second, the MCDA method could inflate the ranks of less profitable farming systems for the simple reason that it allows the respondent to assign non-zero weights to non-economic criteria. Third, the MCDA might provide a better framework for evaluating a landowner's selection of farming systems than the profit maximization model.

Customer analytics and marketing research : antithesis and synthesis

Customer Analytics provide a new type of marketing knowledge in terms of modelling past and present customer behaviour. This paper considers how such knowledge might fit with more traditional Marketing Research. Considerable overlap in the knowledge-based capability of the two functions suggests a need for rationalisation, especially where organisational relationships lead to conflict over the resources assigned to each. Nine testable propositions are developed which suggest that a synthesis of these knowledge-based functions should, in fact, enhance the marketing capability and success of the firm.

The development of a mobile decision support system

The emergence of mobile computing environments brings out various changes in the requirements and applications involving distributed data and has made the traditional Intelligent Decision Support System (IDSS) architectures based on the client/server model ineffective in mobile computing environments. This paper discusses the deficiencies of the current IDSS architectures based on data warehouse, on-line analysis processing (OLAP), model base (MB) and knowledge based (KB) technologies. By adopting the agent technology, the paper extends the IDSS system architecture to the Mobile Decision Support System (MDSS) architecture. The logical structure and the application architecture of the MDSS and the mechanisms and implementation strategies of the User Access Agent System, a major component of the MDSS, are described in this paper.

Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment : a case study

The issue of information sharing and exchanging is one of the most important issues in the areas of artificial intelligence and knowledge-based systems (KBSs), or even in the broader areas of computer and information technology. This paper deals with a special case of this issue by carrying out a case study of information sharing between two well-known heterogeneous uncertain reasoning models: the certainty factor model and the subjective Bayesian method. More precisely, this paper discovers a family of exactly isomorphic transformations between these two uncertain reasoning models. More interestingly, among isomorphic transformation functions in this family, different ones can handle different degrees to which a domain expert is positive or negative when performing such a transformation task. The direct motivation of the investigation lies in a realistic consideration. In the past, expert systems exploited mainly these two models to deal with uncertainties. In other words, a lot of stand-alone expert systems which use the two uncertain reasoning models are available. If there is a reasonable transformation mechanism between these two uncertain reasoning models, we can use the Internet to couple these pre-existing expert systems together so that the integrated systems are able to exchange and share useful information with each other, thereby improving their performance through cooperation. Also, the issue of transformation between heterogeneous uncertain reasoning models is significant in the research area of multi-agent systems because different agents in a multi-agent system could employ different expert systems with heterogeneous uncertain reasonings for their action selections and the information sharing and exchanging is unavoidable between different agents. In addition, we make clear the relationship between the certainty factor model and probability theory.