Knowledge management in a major construction firm in Tawian: a case study-examining the impacts of KM initiatives within the firm.

This paper addresses knowledge management (KM) in a project management organisation through a case study. The case study organisation is a small- edium sized Taiwanese-owned construction company (staff size of approximately 50) with an annual turnover of approximately TWD50 (AUD$1.85) billion. Approximately one half of the company comprised project-related staff (e.g. construction project management, project documentation, estimation, procurement, and design), while the other comprised administrative and business-related staff (e.g. office administration and management, business development, and finance and accounting). The researcher undertook a series of surveys and one-on-one interviews whilst ‘embedded’ for several months with the organisation. As part of a larger research project, this case study was one of four case studies conducted in major construction organisations in Singapore, Taiwan, and Australia. The study revealed the recognition, importance and commitment of organisational culture to KM, and the effects the knowledge management initiatives have on the organisation’s ability to manage knowledge across its projects and deliver the projects at various ‘levels’ of the organisation (individual, project, departmental, and corporate). It concludes that a technologically and functionally sound KM infrastructure does not necessarily assure an organisation with a capability to manage knowledge. Organisations need to ensure that the KM repository is made up of quality and relevant contents (not just quantity), and that corporate culture (especially the willingness of individuals to share what they know) is a critical determining factor to the organisation’s ability to share, apply and create knowledge (i.e. low sharing capability leads to low application and creation capabilities).

Are knowledge management infrastructructures capable of managing knowledge?: Case study of a major construction firm in Taiwan

This paper addresses knowledge management (KM) in a project management organisation through a case study.

The case study organisation is a small-medium sized Taiwanese-owned construction company (staff size of approximately 50) with an annual turnover of approximately TWD50 (AUD$1.85) billion. Approximately one half of the company comprised project-related staff (e.g. construction project management, project documentation, estimation, procurement, and design), while the other comprised administrative and business-related staff (e.g. office administration and management, business development, and finance and accounting).

The researcher undertook a series of surveys and one-on-one interviews whilst ‘embedded’ for several months with the organisation. This study is part of an on-going international comparison involving major construction organisations in Singapore, Australia, and Taiwan.

This study examines the recognition, importance and commitment of organisational culture to KM, and the effects the knowledge management initiatives have on the organisation’s ability to manage knowledge across its projects and deliver the projects at various ‘levels’ of the organisation (individual, project, departmental, and corporate).

It concludes that a technologically and functionally sound KM infrastructure did not necessarily assure that an organisation had a capability to manage knowledge. Organisations need to ensure that their KM repository is made up of relevant and quality contents (not just quantity), and that corporate culture (especially the willingness of individuals to share what they know) is a critical determining factor to the organisation’s ability to share, apply and create knowledge (i.e. low sharing capability leads to low application and creation capabilities).

Power of darkness : narrative and biographical reflexivity in "A series of unfortunate events"

This paper investigates the high-earning children's series, A Series of Unfortunate Events, in relation to the skills young people require to survive and thrive in what Ulrich Beck calls risk society. Children's textual culture has been traditionally informed by assumptions about childhood happiness and the need to reassure young readers that the world is safe. The genre is consequently vexed by adult anxiety about children's exposure to certain kinds of knowledge. This paper discusses the implications of the representation of adversity in the Lemony Snicket series via its subversions of the conventions of children's fiction and metafictional strategies. Its central claim is that the self-consciousness or self-reflexivity of A Series of Unfortunate Events} models one of the forms of reflexivity children need to be resilient in the face of adversity and to empower them to undertake the biographical project risk society requires of them.

Job satisfaction versus office environment : influences on academic knowledge worker productivity

This research paper provides a more encompassing review of self-assessment of a variety of knowledge worker activities, as well as providing the basis for these self assessments. A novel aspect is the inclusion of motivational affects which are considered alongside work environment influences on productivity. A questionnaire was administered on 25 academics. The group was questioned for their perceptions of their productivity for a range of their everyday activities and what areas of their work environment enhanced or disrupted their productivity. Job satisfaction was also assessed. The results from a series of self-assessments show that on the whole, the sample perceive themselves to be reasonably to very productive in all tasks undertaken. Staff satisfaction measures are generally very positive with collaboration and job enjoyment being motivational factors for this group. Noise levels, thermal conditions, poor lighting and a lack of storage seem to be the biggest inhibitors of productivity. Having a window to look out of and access to natural light seem to enhance an academics view of their productivity.

An exploration of the pedagogies employed to integrate knowledge in work-integrated learning

This article describes a three-sector, national research project that investigated the integration aspect of work-integrated learning (WIL). The context for this study is three sectors of New Zealand higher education: business and management, sport, and science and engineering, and a cohort of higher educational institutions that offer WIL/cooperative education in variety of ways. The aims of this study were to investigate the pedagogical approaches in WIL programs that are currently used by WIL practitioners in terms of learning, and the integration of academic-workplace learning. The research constituted a series of collective case studies, and there were two main data sources � interviews with three stakeholder groups (namely employers, students, and co-op practitioners), and analyses of relevant documentation (e.g., course/paper outlines, assignments on reflective practice, portfolio of learning, etc.). The research findings suggest that there is no consistent mechanism by which placement coordinators, off-campus supervisors, or mentors seek to employ or develop pedagogies to foster learning and the integration of knowledge. Learning, it seems, occurs by means of legitimate peripheral participation with off-campus learning occurring as a result of students working alongside professionals in their area via an apprenticeship model of learning. There is no evidence of explicit attempts to integrate on- and off-campus learning, although all parties felt this would and should occur. However, integration is implicitly or indirectly fostered by a variety of means such as the use of reflective journals.

Knowledge, identities and dilemmas of the self in physical education teacher education

The purpose of this study was to understand how becoming a physical education teacher is shaped by personally and socially constructed knowledge and is affected by the rules and resources of the structural systems in which physical education teacher education (PETE) takes place. The study was influenced by the traditions of Personal Construct Theory (Kelly 1955), the theoretical tenets of social constructionism (Gergen 1991), and Giddens’s work on structuration (1984) and self-identity (1991). Ten PETE students participated in the study over almost three years. They undertook repertory grid sessions periodically through their study, followed by ‘learning conversations’, in which the grid itself was discussed, reworked and collaboratively analysed. All conversations were audio taped and were fully transcribed. The data were analysed in three ways, all of which were used to construct a story of the study. First, the grids were analysed for patterns, consistencies across students and for consistencies within students. These grids provided the first level story that related to constructions of knowledge. These constructions were then content analysed using analysis categories developed from Gergen’s notion of the saturated self and Giddens’ ideas of identity in late modernity. These analyses represented what Giddens calls a double hermeneutic since to all intents and purposes, the story of the study was constructed from the participants’ constructions of what it is to be a physical education teacher. The data suggests that during the process of constructing professional knowledge the student experienced a series of dilemmas of professional self-identity. It seems that to become a PE teacher, the dilemmas must be worked through until a position of what Giddens calls ontologist security has been achieved. Some students in this study had not managed to reach such a point before they left university and entered the teaching profession. In spite of this, the methods of the study allowed the participants to begin to articulate their theories and visions of teaching physical education. The therapeutic qualities of Kelly’s theory encouraged a number of the students to ‘see it differently’ (Rossi, 1997) and to begin to develop a rationale for physical education based on educational practice that considers the needs of individuals and the promotion of a socially just community. I have argued however that this ‘critical’ approach to physical education pedagogy was considered risky and as such students who were prepared to engage in such risk strategies also had other strategic relational selves (Gergen, 1991) to minimise risk at key times during their teacher education.

Effect of noise factors in energy management of series plug-in hybrid electric vehicles

It has been demonstrated that charge depletion (CD) energy management strategies are more efficient choices for energy management of plug-in hybrid electric vehicles (PHEVs). The knowledge of drive cycle as a priori can improve the performance of CD energy management in PHEVs. However, there are many noise factors which affect both drivetrain power demand and vehicle performance even in identical drive cycles. In this research, the effect of each noise factor is investigated by introducing the concept of power cycle instead of drive cycle for a journey. Based on the nature of the noise factors, a practical solution for developing a power-cycle library is introduced. Investigating the predicted power cycle, an energy management strategy is developed which considers the influence of temperature noise factor on engine performance. The effect of different environmental and geographic conditions, driver behavior, aging of battery and other components are considered. Simulation results for a modelled series PHEV similar to GM Volt show that the suggested energy management strategy based on the driver power cycle library improves both vehicle fuel economy and battery health by reducing battery load and temperature.

Simulation-based knowledge management in airport operations

Capturing and retaining knowledge in any organization is a major challenge. This talk describes how these challenges have been addressed through simulation and modeling techniques for complex engineered systems. A series of case studies that focus on airport processes are used to demonstrate the concepts. Furthermore, the additional benefits that a simulation model can bring, through online control and decision-making support, are discussed.

Implementation of an audit with feedback knowledge translation intervention to promote medication error reporting in health care: a protocol.

BACKGROUND: Health professionals strive to deliver high-quality care in an inherently complex and error-prone environment. Underreporting of medical errors challenges attempts to understand causative factors and impedes efforts to implement preventive strategies. Audit with feedback is a knowledge translation strategy that has potential to modify health professionals' medical error reporting behaviour. However, evidence regarding which aspects of this complex, multi-dimensional intervention work best is lacking. The aims of the Safe Medication Audit Reporting Translation (SMART) study are to: 1. Implement and refine a reporting mechanism to feed audit data on medication errors back to nurses 2. Test the feedback reporting mechanism to determine its utility and effect 3. Identify characteristics of organisational context associated with error reporting in response to feedback METHODS/DESIGN: A quasi-experimental design, incorporating two pairs of matched wards at an acute care hospital, is used. Randomisation occurs at the ward level; one ward from each pair is randomised to receive the intervention. A key stakeholder reference group informs the design and delivery of the feedback intervention. Nurses on the intervention wards receive the feedback intervention (feedback of analysed audit data) on a quarterly basis for 12 months. Data for the feedback intervention come from medication documentation point-prevalence audits and weekly reports on routinely collected medication error data. Weekly reports on these data are obtained for the control wards. A controlled interrupted time series analysis is used to evaluate the effect of the feedback intervention. Self-report data are also collected from nurses on all four wards at baseline and at completion of the intervention to elicit their perceptions of the work context. Additionally, following each feedback cycle, nurses on the intervention wards are invited to complete a survey to evaluate the feedback and to establish their intentions to change their reporting behaviour. To assess sustainability of the intervention, at 6 months following completion of the intervention a point-prevalence chart audit is undertaken and a report of routinely collected medication errors for the previous 6 months is obtained. This intervention will have wider application for delivery of feedback to promote behaviour change for other areas of preventable error and adverse events.

Modelling semantics across multiple time series and its applications

Analysis based on the holistic multiple time series system has been a practical and crucial topic. In this paper, we mainly study a new problem that how the data is produced underneath the multiple time series system, which means how to model time series data generating and evolving rules (here denoted as semantics). We assume that there exist a set of latent states, which are the system basis and make the system run: data generating and evolving. Thus, there are several challenges on the problem: (1) How to detect the latent states; (2) How to learn the rules based on the states; (3) What the semantics can be used for. Hence, a novel correlation field-based semantics learning method is proposed to learn the semantics. In the method, we first detect latent state assignment by comprehensively considering kinds of multiple time series characteristics, which contain tick-by-tick data, temporal ordering, relationship among multiple time series and so on. Then, the semantics are learnt by Bayesian Markov characteristic. Actually, the learned semantics could be applied into various applications, such as prediction or anomaly detection for further analysis. Thus, we propose two algorithms based on the semantics knowledge, which are applied to make next-n step prediction and detect anomalies respectively. Some experiments on real world data sets were conducted to show the efficiency of our proposed method.