Complexity and creative capacity : reformulating the problem of knowledge transfer in environmental management

The Ningaloo Reef is Australia’s largest fringing coral reef and an iconic tourist destination; however tourism development in Ningaloo has been ad hoc and the area is challenged by human pressure on numerous fronts. In response to these challenges a number of research agencies brought together a range of scientists to study the effects of human interaction on the reef. Moving from research to practice has been understood to depend on the adaptive capacity of the institutions responsible for governing human activities, in this case in the Ningaloo area. Knowledge transfer describes the suite of strategies used to try to bridge the gap between research and management. Knowledge transfer efforts, however, seldom have the desired impact of seeing research applied to decision-making. The ubiquity of knowledge transfer difficulties across disciplines suggests a common root to the problem, based in our shared cultural assumptions. This study pairs a multidisciplinary theoretical investigation with action research to shed light on why knowledge transfer efforts so often fall short in terms of seeing research applied to practice. Recent environmental management perspectives on knowledge transfer illustrate the shift towards stakeholder participation as a means of improving knowledge transfer success. As such, the action research study involved the researcher embedding herself in the Ningaloo community for 18 months, adopting the role of a knowledge broker and engaging and collaborating with modelling researchers and local stakeholders on knowledge transfer efforts. However, despite intensive stakeholder engagement, evaluation interviews at the end of the process indicated that although the knowledge transfer process had the effect of catalysing relationships between stakeholder groups in the region, and between regional stakeholders and scientists, it appeared to have relatively little effect on the representational knowledge of local stakeholders or the actual application of research in practice. This led to the question of whether knowledge transfer is itself is part of the research uptake problem, as per the principles of problem formulation, which specify that resolving seemingly intractable problems requires examining the assumptions that underpin our thinking about the problem situation. On this basis, the theoretical component of this study explored the Newtonian assumptions that inform our understanding of knowledge transfer. An alternative complexity-based ontology is proposed, unifying the metaphysics of materialism and idealism, based on a synthesis of process philosophy, mathematical logic, quantum theory, general systems theory and the complexity sciences. The phenomena of cognition, learning, knowledge and organising are compared in relation to how they’ve been understood within the Newtonian paradigm, and how they are now being explained from the perspective of a complexity-based paradigm. By reframing the action research results from a complexity perspective, the Ningaloo knowledge transfer process does not constitute a failure in terms of enhancing the capacity of the Ningaloo system to make more sustainable decisions. Rather, the increased connectivity between stakeholder groups and scientists can be viewed as more importantly enhancing the creative capacity of Ningaloo’s governance system. It is posited that the research uptake problem should be reformulated from the basis of complexity paradigm, and the notions of knowledge transfer and adaptive capacity reconceptualised accordingly. Instead of devising rational objective arguments for someone else to improve the ‘adaptive capacity’ of human systems, scientists should focus instead on improving their own creative capacity in their local interactions

Provide a model for establishing a comprehensive knowledge management system in knowledge-based organizations based on success factors

Purpose: This study provides a model for establishing a comprehensive knowledge management system in knowledge-based organizations based on success factors. Research methodology: A researcher-made questionnaire was used to examine these factors and finally to present the model. The statistical population of this study is all managers and employees of knowledge-based organizations. There are 150 of them and 108 people were randomly selected as the research sample. Result: The results of factor analysis showed that all 7 factors under study explain 65.16% of the total variance, which is acceptable. On the other hand, the results of the Friedman test also showed the first to the seventh priority of effective factors of knowledge success in construction projects, including human resource development, knowledge-based orientation, knowledge evaluation and transfer, information systems infrastructure, business culture, modeling. Finally, there was a conflict between people. A model was designed according to the mentioned priority. Limitations: This research only described knowledge-based organizations. Contribution: In this article, using a comprehensive knowledge management system, an attempt is made to provide a mechanism for establishing and implementing a comprehensive knowledge management system in knowledge-based organizations to help it take an important step towards capacity building to create value in processes and exchanges. The knowledge of the experts of the organization should be removed in order to direct the tacit knowledge of the experts, which is the main capital of any organization, towards this important issue

Universities' academic research and knowledge-transfer activities in a catch-up country: the case of Korea

The main research topic of this study is universities’ academic research and knowledge-transfer activities in a catch-up country, particularly the relationship between the two activities, which has been rarely examined in previous research. In order to understand this issue against existing literature, a critical review of previous studies has been attempted, considering the idiosyncratic characteristics of the Korean national innovation system. As a result, at the three analysis levels (i.e. national, organisational and individual levels), we propose three conceptual elements respectively: a tentative historical path of universities in catch-up countries; critical factors influencing knowledge transfer activities of universities in catch-up countries; and academics operating in synergy mode. Thereafter, based on the methodology integrating not only the three analysis levels but also qualitative and quantitative approaches, we analyse the data collected from the interviews with Korean academics, survey responses from Korean academics and government White Papers on the activities of Korean universities. The results show a close and positive relationship between Korean universities’ academic research and knowledge-transfer activities across the three levels. Firstly, during the last several decades, the Korean government has strongly encouraged the development of teaching, academic research and knowledge-transfer activities of Korean universities in harmony with the different developmental stages of Korean industry. This has resulted in selective patterns of the universities’ three activities (e.g. concentration of scientific activities in certain fields). Secondly, organisational factors such as scientific capacity and industry funding are important for universities’ knowledge-transfer activities in a catch-up country, which corroborates the positive relationship between the two activities. Finally, in terms of the factors influencing the synergy mode (i.e. a positive relationship between academic research and knowledge-transfer activities), academics’ career stage and disciplines are important. This is related to the rapid expansion of the Korean academic system and the selectivity found in its activities. Based on these findings, it is tempting to conclude that universities in East Asian catch-up countries have developed their own academic system different from those in developed countries, which can be characterised as having strong government control and a high level of interaction with other actors in the national innovation system. Therefore, the application of the controversy over the direct economic contribution of universities in western countries to the context of catch-up countries is quite limited

System Thinking Approach in Solving Problems of Technology Transfer Process

AbstractThe role of knowledge creators and accumulation like universities is consistently growing and obtaining new forms of operation. New knowledge and ideas, used by researchers themselves, in spite of its great value to education system i.e. remaining separated from innovation, do not give much to economic growth. Competitive research may result in scientific carrier and high worldwide reputation, but remaining with negligible relevance for the innovation system. For a stationary economy, where entrepreneurs are engaged in reproducing the given, this poses no difficulty. But as soon as development enters, and comparative advantages based on given products and technologies are eroded by newly industrializing economies, the situation transforms fundamentally. The production of new knowledge, to become an economic activity with high value added, has to become embedded into new combinations of resources. This requires a structural coupling of the science with economic development level of society. The traditional division of labour and functions between academic science and academic teaching, industry and society (applied research, development, innovation, societal benefits) becomes insufficient. Today university activities crosses traditional boundaries through linkages with the socially economic development level, it should develop new ways to interact between each other. The role of efficient technology transfer system, providing conducive to spillovers environment and society ready to promote technological adoption, implementation and application determines also new role for regional universities or research centres. Less developed countries have an advantage to adopt new knowledge created by technology leaders. The ability and capacity to absorb secondary or tacit knowledge may increase competitiveness on different levels. The aim of this paper is to systemize linkages of technology transfer process in less developed country into proper system model scheme as well as to stress problems of technology transfer enforcement

Trends Analysis of Coastal Training Programs in the National Estuarine Research Reserve System

The National Estuarine Research Reserves (NERRS) Coastal Training Program (CTP) is a system-wide training program that aims to increase informed decision-making related to coastal resource management at local and regional levels. The CTP serves as the NERRS flagship program for knowledge and information transfer, and provides an effective vehicle to ensure that science-based knowledge and skills get into the hands and minds of those individuals making decisions about the coast on a regular basis in a professional or volunteer capacity. At the local level, Reserve staff conducts intensive planning to develop targeted training programs that complement other training efforts within the region. The Reserves partner with multiple agencies and organizations to transfer relevant scientific and technical resources and information to key audiences around priority coastal resource issues

THE DEVELOPMENT OF SCIENTIFIC, ACADEMIC AND PRACTICAL CAPACITY OF RESEARCHERS AND EDUCATORS IN THE FIELD OF TRANSFORMATIVE DIGITAL LEARNING

Transformative Digital Learning (TDL) is a progressive form of fully online, problem-based, constructivist learning, developed by research associates of the Educational Informatics Lab (EILAB), University of Ontario Institute of Technology, Canada. TDL transforms higher educational practices from: authoritarian instruction to democratized learning, individualistic learning to socially distributed and tool-mediated, knowledge building, a mechanism of the status quo to a catalyst for social progress, offer a truly novel approach to the theory of teaching and education, introduce new methodology and practical techniques to learners of all ages. Moving from lecture- and book-based, classroom learning to TDL proved to be a significant adjustment requiring a good level of participant readiness. The main aim of the project “Implementation of Transformative Digital Learning in Doctoral Program of Pedagogical Science in Latvia” is to create new pedagogical knowledge and technological know-how in the field of transformative digital learning (TDL) in higher education in Latvia based on Canadian experience and to ensure transfer of knowledge and skills in the further development of the doctoral study program "Pedagogy", as well as the development of scientific, academic and practical capacity of researchers and educators.The specific objectives of the research meet the main challenges and priorities of the project, originality and novelty in the field of research:Implementation of interdisciplinary research, capacity building and the creation of a new knowledge base by studying the situation and transferring innovation to implement TDL in doctoral studies;Development of new prototypes: e-platform, innovative methodologies (approaches, methods, techniques) for completing experiments, approbation, implementation and provision of new services in the context of higher education, which will provide world-wide recognized knowledge transfer in the development of innovative and advanced didactic materials which meet the most topical priorities of the Smart Specialization Strategy set out in Latvia:Productive innovation system; modern ICT; Modern education; Knowledge base; Information and Communication Technologies for Education and Economics

A review of factors affecting the transfer of sexual and reproductive health training into practice in low and lower-middle income country humanitarian settings

© 2017 The Author(s). Background: A lack of access to sexual and reproductive health (SRH) care is the leading cause of morbidity and mortality among displaced women and girls of reproductive age. Efforts to address this public health emergency in humanitarian settings have included the widespread delivery of training programmes to address gaps in health worker capacity for SRH. There remains a lack of data on the factors which may affect the ability of health workers to apply SRH knowledge and skills gained through training programmes in humanitarian contexts. Methods: We searched four electronic databases and ten key organizations' websites to locate literature on SRH training for humanitarian settings in low and lower-middle income countries. Papers were examined using content analysis to identify factors which contribute to health workers' capacity to transfer SRH knowledge, skills and attitudes learned in training into practice in humanitarian settings. Results: Seven studies were included in this review. Six research papers focused on the response stage of humanitarian crises and five papers featured the disaster context of conflict. A range of SRH components were addressed including maternal, newborn health and sexual violence. The review identified factors, including appropriate resourcing, organisational support and confidence in health care workers that were found to facilitate the transfer of learning. The findings suggest the presence of factors that moderate the transfer of training at the individual, training, organisational, socio-cultural, political and health system levels. Conclusion: Supportive strategies are necessary to best assist trainees to apply newly acquired knowledge and skills in their work settings. These interventions must address factors that moderate the success of learning transfer. Findings from this review suggest that these are related to the individual trainee, the training program itself and the workplace as well as the broader environmental context. Organisations which provide SRH training for humanitarian emergencies should work to identify the system of moderating factors that affect training transfer in their setting and employ evidence-based strategies to ameliorate these

Developing a conceptual framework of knowledge transfer in Malaysia E-Government IT outsourcing: an integration with transactive memory system

Knowledge transfer has attracted much attention to researchers and practitioners in recent years since knowledge transfer has been considered as a critical determinant of an organization’s capacity to confer sustainable competitive advantage. Despite extensive research on knowledge transfer issues, there is a dearth of research that has explicitly focused on the role of transactive memory in enabling intra-organizational knowledge transfer in information technology (IT) outsourcing context, particularly e-government IT outsourcing. Although the information systems literature has recently acknowledged the role of transactive memory plays in improving knowledge processes, most of the research is still in the basic concept of transactive memory which is emphasized more on the individual level of analysis or rather in the small group of people. Besides, most of related research was done in the lab based on the physical, virtual task or memory recall tasks. None of empirical work has been done in integrating TMS in outsourcing context since most researchers used interpretive approach. Therefore, this paper attempts to fill this gap by applying positivist approach through operalization of identified factors that significantly give positive impact towards knowledge transfer between the vendors to the Malaysian Public Agencies as the client.. Drawing on several theoretical streams, this paper will propose an integrated conceptual framework of inter�organizational knowledge transfer with and integration of transactive memory system to facilitate knowledge transfer process between organizations which further can be used for research enhancement

Creating a climate for food security: the business, people & landscapes in food production

AbstractBalancing human and environmental needs is urgent where food security and sustainability are under pressure from population increases and changing climates. Requirements of food security, social justice and environmental justice exacerbate the impact of agriculture on the supporting ecological environment. Viability of the Australian rural economy is intrinsically linked to food production and food security requiring systematic evaluation of climate change adaptation strategies for agricultural productivity.This food-systems research drew on global climate change literature to identify risks and adaptation. The transdisciplinary team applied specialist experience through collaboration in social science, economics and land-management to provide comprehensive methods to engage researchers and decision-makers making decisions across the food-system. Research focus on the dairy and horticulture sectors in the SW-WA and SEQld provided a comparative context in food-systems and regional economies. Expert knowledge was engaged through a series of panel meetings to test and challenge existing practice applying conceptual and empirical approaches in Structural Equation, Value-Chain, Supply-Chain modelling and Analytical Hierarchy modelling. This iterative action-research process provided immediate generation and transfer of expert knowledge across the involved sectors. The scenarios and adaptive strategies provide evidence-based pathways to strengthen food-systems; account for climate change mitigation and adaptation; and weather-proof regional economies in the face of climate change. Balancing human and environmental needs is urgent where food security and sustainability are under pressure from population increases and changing climates. Requirements of food security, social justice and environmental justice exacerbate the impact of agriculture on the supporting ecological environment. Viability of the Australian rural economy is intrinsically linked to food production and food security requiring systematic evaluation of climate change adaptation strategies for agricultural productivity.This food-systems research drew on global climate change literature to identify risks and adaptation. The transdisciplinary team applied specialist experience through collaboration in social science, economics and land-management to provide comprehensive methods to engage researchers and decision-makers making decisions across the food-system. Research focus on the dairy and horticulture sectors in the SW-WA and SEQld provided a comparative context in food-systems and regional economies. Expert knowledge was engaged through a series of panel meetings to test and challenge existing practice applying conceptual and empirical approaches in Structural Equation, Value-Chain, Supply-Chain modelling and Analytical Hierarchy modelling. This iterative action-research process provided immediate generation and transfer of expert knowledge across the involved sectors. The scenarios and adaptive strategies provide evidence-based pathways to strengthen food-systems; account for climate change mitigation and adaptation; and weather-proof regional economies in the face of climate change. The triple-bottom-line provided a comprehensive means of addressing social, economic and ecological requirements, and the modelling showed the interacting dynamics between these dimensions. In response to climate change, the agricultural sector must now optimise practices to address the interaction between economic, social and environmental investment. Differences in positions between the industry sector, the government and research sectors demonstrate the need for closer relationships between industry and government if climate change interventions are to be effectively targeted. Modelling shows that capacity for adaptation has a significant bearing on the success of implementing intervention strategies. Without intervention strategies to build viability and support, farm businesses are more likely to fail as a consequence of climate change. A framework of capitals that includes social components - cultural, human and social capital-, economic components -economic and physical capital - and ecological components -ecological and environmental capital - should be applied to address capacities. A priority assessment of climate change intervention strategies shows that strategies categorised as ‘Technology & Extension’ are most important in minimising risk from climate change impacts. To implement interventions to achieve ‘Food Business Resilience’, ‘Business Development’ strategies and alternative business models are most effective. ‘Research and Development’ interventions are essential to achieve enhanced ‘Adaptive Capacity’.The individual components of TBL Adaptive Capacity can be achieved through ‘Policy and Governance’ interventions for building ‘Social Capital’ capacity, ‘Research and Development’ will develop ‘Economic Capital’, and ‘Business Development’ strategies will build ‘Ecological Capital’.These strategic interventions will promote food security and maintain resilience in local food systems, agricultural production communities and markets, global industrial systems, and developing world food systems. Climate change mitigation and adaptation interventions reflect a rich conceptualisation drawing from the Australian context, but also acknowledging the moral context of global association.Please cite this report as:Wardell-Johnson, A, Uddin, N, Islam, N, Nath, T, Stockwell, B, Slade, C 2013 Creating a climate for food security: the businesses, people and landscapes in food production, National Climate Change Adaptation Research Facility, Gold Coast, pp. 144.Balancing human and environmental needs is urgent where food security and sustainability are under pressure from population increases and changing climates. Requirements of food security, social justice and environmental justice exacerbate the impact of agriculture on the supporting ecological environment. Viability of the Australian rural economy is intrinsically linked to food production and food security requiring systematic evaluation of climate change adaptation strategies for agricultural productivity.This food-systems research drew on global climate change literature to identify risks and adaptation. The transdisciplinary team applied specialist experience through collaboration in social science, economics and land-management to provide comprehensive methods to engage researchers and decision-makers making decisions across the food-system. Research focus on the dairy and horticulture sectors in the SW-WA and SEQld provided a comparative context in food-systems and regional economies. Expert knowledge was engaged through a series of panel meetings to test and challenge existing practice applying conceptual and empirical approaches in Structural Equation, Value-Chain, Supply-Chain modelling and Analytical Hierarchy modelling. This iterative action-research process provided immediate generation and transfer of expert knowledge across the involved sectors. The scenarios and adaptive strategies provide evidence-based pathways to strengthen food-systems; account for climate change mitigation and adaptation; and weather-proof regional economies in the face of climate change. The triple-bottom-line provided a comprehensive means of addressing social, economic and ecological requirements, and the modelling showed the interacting dynamics between these dimensions. In response to climate change, the agricultural sector must now optimise practices to address the interaction between economic, social and environmental investment. Differences in positions between the industry sector, the government and research sectors demonstrate the need for closer relationships between industry and government if climate change interventions are to be effectively targeted. Modelling shows that capacity for adaptation has a significant bearing on the success of implementing intervention strategies. Without intervention strategies to build viability and support, farm businesses are more likely to fail as a consequence of climate change. A framework of capitals that includes social components - cultural, human and social capital-, economic components -economic and physical capital - and ecological components -ecological and environmental capital - should be applied to address capacities. A priority assessment of climate change intervention strategies shows that strategies categorised as ‘Technology & Extension’ are most important in minimising risk from climate change impacts. To implement interventions to achieve ‘Food Business Resilience’, ‘Business Development’ strategies and alternative business models are most effective. ‘Research and Development’ interventions are essential to achieve enhanced ‘Adaptive Capacity’.The individual components of TBL Adaptive Capacity can be achieved through ‘Policy and Governance’ interventions for building ‘Social Capital’ capacity, ‘Research and Development’ will develop ‘Economic Capital’, and ‘Business Development’ strategies will build ‘Ecological Capital’.These strategic interventions will promote food security and maintain resilience in local food systems, agricultural production communities and markets, global industrial systems, and developing world food systems. Climate change mitigation and adaptation interventions reflect a rich conceptualisation drawing from the Australian context, but also acknowledging the moral context of global association

Web and knowledge-based decision support system for measurement uncertainty evaluation

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityIn metrology, measurement uncertainty is understood as a range in which the true value of the measurement is likely to fall in. The recent years have seen a rapid development in evaluation of measurement uncertainty. ISO Guide to the Expression of Uncertainty in Measurement (GUM 1995) is the primary guiding document for measurement uncertainty. More recently, the Supplement 1 to the "Guide to the expression of uncertainty in measurement" – Propagation of distributions using a Monte Carlo method (GUM SP1) was published in November 2008. A number of software tools for measurement uncertainty have been developed and made available based on these two documents. The current software tools are mainly desktop applications utilising numeric computation with limited mathematical model handling capacity. A novel and generic web-based application, web-based Knowledge-Based Decision Support System (KB-DSS), has been proposed and developed in this research for measurement uncertainty evaluation. A Model-View-Controller architecture pattern is used for the proposed system. Under this general architecture, a web-based KB-DSS is developed based on an integration of the Expert System and Decision Support System approach. In the proposed uncertainty evaluation system, three knowledge bases as sub-systems are developed to implement the evaluation for measurement uncertainty. The first sub-system, the Measurement Modelling Knowledge Base (MMKB), assists the user in establishing the appropriate mathematical model for the measurand, a critical process for uncertainty evaluation. The second sub-system, GUM Framework Knowledge Base, carries out the uncertainty evaluation process based on the GUM Uncertainty Framework using symbolic computation, whilst the third sub-system, GUM SP1 MCM Framework Knowledge Base, conducts the uncertainty calculation according to the GUM SP1 Framework numerically based on Monte Carlo Method. The design and implementation of the proposed system and sub-systems are discussed in the thesis, supported by elaboration of the implementation steps and examples. Discussions and justifications on the technologies and approaches used for the sub-systems and their components are also presented. These include Drools, Oracle database, Java, JSP, Java Transfer Object, AJAX and Matlab. The proposed web-based KB-DSS has been evaluated through case studies and the performance of the system has been validated by the example results. As an established methodology and practical tool, the research will make valuable contributions to the field of measurement uncertainty evaluation.Brunel Universit