941 resultados para Knowledge construction


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This report addresses the extent that managerial practices can be shared between the aerospace and construction sectors. Current recipes for learning from other industries tend to be oversimplistic and often fail to recognise the embedded and contextual nature of managerial knowledge. Knowledge sharing between business sectors is best understood as an essential source of innovation. The process of comparison challenges assumptions and better equips managers to cope with future change. Comparisons between the aerospace and construction sectors are especially useful because they are so different. The two sectors differ hugely in terms of their institutional context, structure and technological intensity. The aerospace sector has experienced extensive consolidation and is dominated by a small number of global companies. Aerospace companies operate within complex networks of global interdependency such that collaborative working is a commercial imperative. In contrast, the construction sector remains highly fragmented and is characterised by a continued reliance on small firms. The vast majority of construction firms compete within localised markets that are too often characterised by opportunistic behaviour. Comparing construction to aerospace highlights the unique characteristics of both sectors and helps explain how managerial practices are mediated by context. Detailed comparisons between the two sectors are made in a range of areas and guidance is provided for the implementation of knowledge sharing strategies within and across organisations. The commonly accepted notion of ‘best practice’ is exposed as a myth. Indeed, universal models of best practice can be detrimental to performance by deflecting from the need to adapt continuously to changing circumstances. Competitiveness in the construction sector too often rests on efficiency in managing contracts, with a particular emphasis on the allocation of risk. Innovation in construction tends to be problem-driven and is rarely shared from project to project. In aerospace, the dominant model of competitiveness means that firms have little choice other than to invest in continuous innovation, despite difficult trading conditions. Research and development (R&D) expenditure in aerospace continues to rise as a percentage of turnovers. A sustained capacity for innovation within the aerospace sector depends crucially upon stability and continuity of work. In the construction sector, the emergence of the ‘hollowed-out’ firm has undermined the industry’s capacity for innovation. Integrated procurement contexts such as prime contracting in construction potentially provide a more supportive climate for an innovation-based model of competitiveness. However, investment in new ways of working depends upon a shift in thinking not only amongst construction contractors, but also amongst the industry’s major clients.

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Purpose-Unplanned changes in construction projects are common and lead to disruptive effects such as project delays, cost overruns and quality deviations. Rework due to unplanned changes can cost 10-15 per cent of contract value. By managing these changes more effectively, these disruptive effects can be minimised. Previous research has approached this problem from an information-processing view. In this knowledge age, the purpose of this paper is to argue that effective change management can be brought about by better understanding the significant role of knowledge during change situations. Design/methodology/approach - Within this knowledge-based context, the question of how construction project teams manage knowledge during unplanned change in the construction phase within collaborative team settings is investigated through a selected case study sample within the UK construction industry. Findings- Case study findings conclude that different forms of knowledge are created and shared between project team members during change events which is very much socially constructed and centred on tacit knowledge and experience of project personnel. Originality/value- Building on the case study findings the paper finally offers a model that represents the role of knowledge during managing project change.

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There are a number of challenges associated with managing knowledge and information in construction organizations delivering major capital assets. These include the ever-increasing volumes of information, losing people because of retirement or competitors, the continuously changing nature of information, lack of methods on eliciting useful knowledge, development of new information technologies and changes in management and innovation practices. Existing tools and methodologies for valuing intangible assets in fields such as engineering, project management and financial, accounting, do not address fully the issues associated with the valuation of information and knowledge. Information is rarely recorded in a way that a document can be valued, when either produced or subsequently retrieved and re-used. In addition there is a wealth of tacit personal knowledge which, if codified into documentary information, may prove to be very valuable to operators of the finished asset or future designers. This paper addresses the problem of information overload and identifies the differences between data, information and knowledge. An exploratory study was conducted with a leading construction consultant examining three perspectives (business, project management and document management) by structured interviews and specifically how to value information in practical terms. Major challenges in information management are identified. An through-life Information Evaluation methodology (IEM) is presented to reduce information overload and to make the information more valuable in the future.

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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).

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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).

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There is widespread recognition that goal recognition strategies, in the context of structural analysis and cognitive (user) models, represent a major field of contemporary research into discourse understanding. This thesis reports a goal interpretation paradigm that embraces both a novel goal structure formalism and strategic knowledge. The goal interpretation processes involve the identification of goal primitives and the construction of goal states. The mechanisms developed for goal interpretation rely on explicit goal recognition (selection) and confirmation of feasibility. A goal state contains all the information required by the planner. By constructing a goal state, the chance of failure in planning is greatly reduced and the efficiency of the planning system is vastly improved. These mechanisms are not limited to inference. Other mechanisms are reported include goal structure processing, goal primitives identification and searching strategies, extended heuristic classification method and a new conceptual graph operation (i.e. SPLIT).