Knowledge management culture, strategy and process in Malaysian firms

Malaysia is one of the leading countries in Asia that are at the forefront in the development of a knowledge-based economy (KBE). The Malaysian government has been making substantial investments in both physical and technological infrastructure to facilitate knowledge-intensive economic activities. Foreign and local firms in Malaysia are encouraged to take advantage of the opportunities brought by the emerging KBE. However, little is known as to how firms in Malaysia respond to this new trajectory of economic development. In particular, there is paucity in the literature as to how Malaysian firms manage knowledge in their organizations as they strive to achieve sustainable competitive performance. Little is known as to how and why firms in Malaysia develop and manage their intangible and knowledge-based resources as they operate and respond to the modern knowledge-based competitive economic arena. This paper examines a type of organizational culture that supports and promotes knowledge management (KM) within firms in Malaysia. The paper argues that KM-oriented culture shapes the overall KM strategy of firms, which consequently shapes the organizational process required to manage the firm's knowledge-based resources. The study uses survey data from a sample of 153 firms from Malaysia. Structural equation modelling was used to develop and test the measurement model of KM-oriented culture, KM strategy and KM process of the sample firms, as well as the structural model of their hypothesized relationships. The results show that firms with high level of KM-oriented culture demonstrated well-defined KM strategies. Firms that implemented well-defined KM strategies also reported that they have better KM processes in place. Building a KM-oriented culture within the organization is a pre-requisite to the implementation of any KM systems in Malaysian firms. Successful implementation of KM strategies, processes and the supporting technological infrastructure depends on whether organizational members consider KM as a norm within the firm. The study's focus on the linkages between KM-oriented culture, strategy and process in the context of Malaysian firms contributes to a more nuanced understanding of KM among firms in the Asian context in general, and in the Malaysian context in particular.

Sensing and using social context

We present online algorithms to extract social context: Social spheres are labeled locations of significance, represented as convex hulls extracted from GPS traces. Colocation is determined from Bluetooth and GPS to extract social rhythms, patterns in time, duration, place, and people corresponding to real-world activities. Social ties are formulated from proximity and shared spheres and rhythms. Quantitative evaluation is performed for 10+ million samples over 45 man-months. Applications are presented with assessment of perceived utility: Socio-Graph, a video and photo browser with filters for social metadata, and Jive, a blog browser that uses rhythms to discover similarity between entries automatically.

Using clinical trial data and linked administrative health data to reduce the risk of adverse events associated with the uptake of newly released drugs by older Australians : a model process

Background
The study was undertaken to evaluate the contribution of a process which uses clinical trial data plus linked de-identified administrative health data to forecast potential risk of adverse events associated with the use of newly released drugs by older Australian patients.

Methods
The study uses publicly available data from the clinical trials of a newly released drug to ascertain which patient age groups, gender, comorbidities and co-medications were excluded in the trials. It then uses linked de-identified hospital morbidity and medications dispensing data to investigate the comorbidities and co-medications of patients who suffer from the target morbidity of the new drug and who are the likely target population for the drug. The clinical trial information and the linked morbidity and medication data are compared to assess which patient groups could potentially be at risk of an adverse event associated with use of the new drug.

Results
Applying the model in a retrospective real-world scenario identified that the majority of the sample group of Australian patients aged 65 years and over with the target morbidity of the newly released COX-2-selective NSAID rofecoxib also suffered from a major morbidity excluded in the trials of that drug, indicating a substantial potential risk of adverse events amongst those patients. This risk was borne out in post-release morbidity and mortality associated with use of that drug.

Conclusions
Clinical trial data and linked administrative health data can together support a prospective assessment of patient groups who could be at risk of an adverse event if they are prescribed a newly released drug in the context of their age, gender, comorbidities and/or co-medications. Communication of this independent risk information to prescribers has the potential to reduce adverse events in the period after the release of the new drug, which is when the risk is greatest.

Note: The terms 'adverse drug reaction' and 'adverse drug event' have come to be used interchangeably in the current literature. For consistency, the authors have chosen to use the wider term 'adverse drug event' (ADE).

The traditional decision-making process of Berkaul in Tanjung Emas, West Sumatra : its nature and significance

Berkaul is a traditional practice associated with the rice cultivation cycle in West Sumatra, Indonesia, intended to seek consensus within the local community about agricultural practices and management of water for irrigation. Berkaul is deeply rooted in the adat and worldview of the region but is much less commonly practiced today than in the past and has disappeared in many parts of the region. This article describes the process of berkaul in Tanjung Emas, West Sumatra, places it within the context of Minangkabau adat and tradition, and considers its value in fostering participation, empowerment, and social inclusion in the context of rural development.

Process and impact evaluation of the romp & chomp obesity prevention intervention in early childhood settings : lessons learned from implementation in preschools and long day care settings

Background: The Romp & Chomp controlled trial, which aimed to prevent obesity in preschool Australian children, was recently found to reduce the prevalence of childhood overweight and obesity and improve children’s dietary patterns. The intervention focused on capacity building and policy implementation within various early childhood settings. This paper reports on the process and impact evaluation of this trial and the lessons learned from this complex community intervention.
Methods: Process data was collected throughout and audits capturing nutrition and physical activity-related environments and practices were completed postintervention by directors of Long Day Care (LDC) centers (n = 10) and preschools (n = 41) in intervention and comparison (n = 161 LDC and n = 347 preschool) groups.
Results: The environmental audits demonstrated positive impacts in both settings on policy, nutrition, physical activity opportunities, and staff capacity and practices, although results varied across settings and were more substantial in the preschool settings. Important lessons were learned in relation to implementation of such community-based interventions, including the significant barriers to implementing health-promotion interventions in early childhood settings, lack of engagement of for-profit LDC centers in the evaluation, and an inability to attribute direct intervention impacts when the intervention components were delivered as part of a health-promotion package integrated with other programs.
Conclusions: These results provide confidence that obesity prevention interventions in children’s settings can be effective; however, significant efforts must be directed toward developing context-specific strategies that invest in policies, capacity building, staff support, and parent engagement. Recognition by funders and reviewers of the difficulties involved in implementing and evaluating such complex interventions is also critical to strengthening the evidence base on the effectiveness of such public health approaches to obesity prevention.

Evoked emotions : textual analysis within the context of pilgrimage tourism to Gallipoli

This chapter focuses on tourism from Australia to Gallipoli to attend Anzac Day commemorations. The research examines diary excerpts of tourists to Gallipoli using theory on emotions to gain insights into the consumption experience. We describe this tourist experience as a pilgrimage, as it is purposeful and is aimed at reaching a specific destination that has spiritual meaning for the consumer. We found that this tourist experience elicits both positively and negatively valanced emotions. The findings highlight that not all tourism experiences elicit hedonically related emotions; however, the outcome of the experience can be positive. Further research on emotions that explores this paradox between emotions in consumption and emotions in post-consumption will assist to understand the ways in which consumers process their emotions within this context.

A middle approach to literacy in a minority Indigenous Australian language context.

Kunib-dji live in Maningrida, a remote community in the Northern Territory and speak Ndj-bbana as their preferred language of communication. Kunib-dji are one of many groups of Indigenous Australian languages who speak a minority language. Very little has been documented about the social practices of literacy with speakers of such languages, particularly with the texts that mediate these languages. Knowing about the beliefs and attitudes towards enacted by these speakers towards these texts is useful for understanding the process of learning of minority and majority languages. This paper presents a middle approach to literacy as distinct form top-down and bottom-up approaches, that has emerged from the minority Indigenous Australian language context in Maningrida. The proposed middle approach to literacy incorporates non-indigenous intervention in Indigenous social practices and technological transform of Indigenous texts. The methodological aspects of such intervention and transformation together with the implications of a middle approach to literacy are presented in this paper. Throughout the paper references are made to Kunib-dji children's access to digital Ndj-bbana texts and their engagement with these texts in a home environment.

Is it myth or dilemma to construct and negotiate identities in an increasingly changing and diverse global context?

Identity is complex and it is difficult to come to terms with one’s identity when challenged by cross-cultural and migration transitions and the pressures of globalisation. From such perspectives, I define the terms ‘identity’, and ‘representation’ and how I situate the ‘self’ within such transitions and experiences. Discourses from cultural theorists such as: Zygmunt Bauman, Edward Said, Stuart Hall, Homi Bhabha, Arjun Appadurai and Edward Soja frame notions that support my arguments. My narratives and artworks make reference to my historical legacies, cultural and Diasporic inheritances, sense of belonging from home country and migration transitions. This journey underscores subjectivities in constructing my identities. I describe my own experiences and process of migration transitions to happen within a ‘liminal space,’ as I negotiate and adapt to new social and cultural structures. Through my discussion, I describe how it becomes important to “know who you are” and how to define new ‘spaces’ and parameters of identification and representation. The shifts in ‘spaces’, places’ and new social interaction, I argue indicates hybridity and ambivalences in situating the ‘self’. My arguments extend to reflect on how identity matters, and why it is significant to make it seem present and less as ‘dilemma’ or ‘myth’ in an increasingly diverse, changing and challenging global context.

Motivation, self-assessment and tacit knowledge in e-learning context selection

Formal consideration of the links between students' Motivation, Self-Assessment abilities and Tacit Knowledge is shown in this paper to provide a useful model (MSATK) for planning postgraduate, Web-based education. The design of effective e-Learning courses requires a Learning Framework that emphasizes contextanalysis within knowledge-mediated processes. Contextual analysis ensures that self-assessment will be effective in complex domains that rely on Web sources of experiential knowledge, usually accessible as Professional practice models that employ diagnostic tools for scenario simulation processes. Demographic trends now facing Japan and Western countries, and the knowledge management support requirements of global e-Learning initiatives are challenging the value of current selfassessment processes. Building a Culture of Critique is highly desirable, but the lack of an Learning Framework that reflects student ownership of their learning process has obscured the need for tools to correctly interpret domain contexts, or for student freedom to drive the need for modified scenarios. The value of a Learning Framework that links motivation, tacit knowledge, selfassessment practice and contextual analysis is examined in this paper with consequential implications for Web support.

Exploring distributed leadership in the small business context

Entrepreneurial ventures are often established, controlled and led through the commitment of individuals. This article problematizes the nature of the form of leadership relevant for the small business as it matures. In this way, it explores the temporal dimension to the appropriateness of distributed leadership in the context of the entrepreneurial business. The authors critique the opportunity that distributed leadership can bring to the maturing business. They illuminate a dilemma for entrepreneurs as to whether they should give up control for a broader distributed process of leading or continue a practice of leading that resonates with their essence of being entrepreneurial - independent, controlling responsive and opportunity driven. This dilemma is addressed by suggesting the contextualization of distributed leadership may offer the maturing business. The article concludes by reviewing development approaches that contextualize intervention and suggests a research agenda to contribute to a greater understanding of how leadership can become distributed in the maturing business. © 2011 The Authors. International Journal of Management Reviews © 2011 British Academy of Management and Blackwell Publishing Ltd.

Using clinical trial data and linked administrative health data to reduce the risk of adverse events associated with the uptake of newly released drugs by older Australians: a model process

BACKGROUND: The study was undertaken to evaluate the contribution of a process which uses clinical trial data plus linked de-identified administrative health data to forecast potential risk of adverse events associated with the use of newly released drugs by older Australian patients. METHODS: The study uses publicly available data from the clinical trials of a newly released drug to ascertain which patient age groups, gender, comorbidities and co-medications were excluded in the trials. It then uses linked de-identified hospital morbidity and medications dispensing data to investigate the comorbidities and co-medications of patients who suffer from the target morbidity of the new drug and who are the likely target population for the drug. The clinical trial information and the linked morbidity and medication data are compared to assess which patient groups could potentially be at risk of an adverse event associated with use of the new drug. RESULTS: Applying the model in a retrospective real-world scenario identified that the majority of the sample group of Australian patients aged 65 years and over with the target morbidity of the newly released COX-2-selective NSAID rofecoxib also suffered from a major morbidity excluded in the trials of that drug, indicating a substantial potential risk of adverse events amongst those patients. This risk was borne out in post-release morbidity and mortality associated with use of that drug. CONCLUSIONS: Clinical trial data and linked administrative health data can together support a prospective assessment of patient groups who could be at risk of an adverse event if they are prescribed a newly released drug in the context of their age, gender, comorbidities and/or co-medications. Communication of this independent risk information to prescribers has the potential to reduce adverse events in the period after the release of the new drug, which is when the risk is greatest.Note: The terms 'adverse drug reaction' and 'adverse drug event' have come to be used interchangeably in the current literature. For consistency, the authors have chosen to use the wider term 'adverse drug event' (ADE).

A graph-based model for context-aware recommendation using implicit feedback data

Recommender systems have been successfully dealing with the problem of information overload. However, most recommendation methods suit to the scenarios where explicit feedback, e.g. ratings, are available, but might not be suitable for the most common scenarios with only implicit feedback. In addition, most existing methods only focus on user and item dimensions and neglect any additional contextual information, such as time and location. In this paper, we propose a graph-based generic recommendation framework, which constructs a Multi-Layer Context Graph (MLCG) from implicit feedback data, and then performs ranking algorithms in MLCG for context-aware recommendation. Specifically, MLCG incorporates a variety of contextual information into a recommendation process and models the interactions between users and items. Moreover, based on MLCG, two novel ranking methods are developed: Context-aware Personalized Random Walk (CPRW) captures user preferences and current situations, and Semantic Path-based Random Walk (SPRW) incorporates semantics of paths in MLCG into random walk model for recommendation. The experiments on two real-world datasets demonstrate the effectiveness of our approach.

Consensus building in a local context for the AHP-GDM with the individual numerical scale and prioritization method

The methodology for selecting the individual numerical scale and prioritization method has recently been presented and justified in the analytic hierarchy process (AHP). In this study, we further propose a novel AHP-group decision making (GDM) model in a local context (a unique criterion), based on the individual selection of the numerical scale and prioritization method. The resolution framework of the AHP-GDM with the individual numerical scale and prioritization method is first proposed. Then, based on linguistic Euclidean distance (LED) and linguistic minimum violations (LMV), the novel consensus measure is defined so that the consensus degree among decision makers who use different numerical scales and prioritization methods can be analyzed. Next, a consensus reaching model is proposed to help decision makers improve the consensus degree. In this consensus reaching model, the LED-based and LMV-based consensus rules are proposed and used. Finally, a new individual consistency index and its properties are proposed for the use of the individual numerical scale and prioritization method in the AHP-GDM. Simulation experiments and numerical examples are presented to demonstrate the validity of the proposed model.

SECC: simultaneous extraction of context and community from pervasive signals

Understanding user contexts and group structures plays a central role in pervasive computing. These contexts and community structures are complex to mine from data collected in the wild due to the unprecedented growth of data, noise, uncertainties and complexities. Typical existing approaches would first extract the latent patterns to explain the human dynamics or behaviors and then use them as the way to consistently formulate numerical representations for community detection, often via a clustering method. While being able to capture high-order and complex representations, these two steps are performed separately. More importantly, they face a fundamental difficulty in determining the correct number of latent patterns and communities. This paper presents an approach that seamlessly addresses these challenges to simultaneously discover latent patterns and communities in a unified Bayesian nonparametric framework. Our Simultaneous Extraction of Context and Community (SECC) model roots in the nested Dirichlet process theory which allows nested structure to be built to explain data at multiple levels. We demonstrate our framework on three public datasets where the advantages of the proposed approach are validated.

Personalized recommendation on multi-layer context graph

Recommender systems have been successfully dealing with the problem of information overload. A considerable amount of research has been conducted on recommender systems, but most existing approaches only focus on user and item dimensions and neglect any additional contextual information, such as time and location. In this paper, we propose a Multi-Layer Context Graph (MLCG) model which incorporates a variety of contextual information into a recommendation process and models the interactions between users and items for better recommendation. Moreover, we provide a new ranking algorithm based on Personalized PageRank for recommendation in MLCG, which captures users' preferences and current situations. The experiments on two real-world datasets demonstrate the effectiveness of our approach.