974 resultados para Learning Capabilities


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Regional innovation systems (RISs) literature has emphasized the critical role of interactive learning and knowledge exchange amongst firms and a variety of spatially connected innovation institutions as the foundation of regional innovation. Knowledge intermediaries have been analysed in terms of the technology-transaction services they provide firms and/or knowledge producers such as universities and therefore the role they play in facilitating interaction within the RIS. However, innovation also depends on the capability of the firm to learn. Some studies have suggested that intermediaries also play a role in that regard as participation in intermediary knowledge transfer programmes can contribute to the development of firm capabilities for problem-solving and learning. Our research is based on two case study intermediary programmes involving interviews with facilitators and participants. Our data show that knowledge intermediaries affect organizational learning capabilities by impacting on firms' network relationships, internal and external communication channels and internal learning processes which in turn affect the ability to interpret and use knowledge within the firm. This suggests that the role of knowledge intermediaries might be greater than facilitating interactions in the innovation system, as knowledge intermediation may affect the ability of firms to learn and absorb knowledge from their environment.

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Dynamic capability theory asserts that the learning capabilities of construction organisations influence the degree to which value-for-money (VfM) is achieved on collaborative projects. However, there has been little study conducted to verify this relationship. The evidence is particularly limited within the empirical context of infrastructure delivery in Australia. Primarily drawing on the theoretical perspectives of the resource-based view of the firm (e.g. Barney 1991), dynamic capabilities (e.g. Helfat et al. 2007), absorptive capacity (e.g. Lane et al. 2006) and knowledge management (e.g. Nonaka 1994), this paper conceptualises learning capability as a knowledge-based dynamic capability. Learning capability builds on the micro-foundations of high-order learning routines, which are deliberately developed by construction organisations for managing collaborative projects. Based on this conceptualisation of learning capability, an exploratory case study was conducted. The study investigated the operational and higher-order learning routines adopted by a project alliance team to successfully achieve VfM. The case study demonstrated that the learning routines of the alliance project were developed and modified by the continual joint learning activities of participant organisations. Project-level learning routines were found to significantly influence the development of organisational-level learning routines. In turn, the learning outcomes generated from the alliance project appeared to significantly influence the development of project management routines and contractual arrangements applied by the participant organisations in subsequent collaborative projects. The case study findings imply that the higher-order learning routines that underpin the learning capability of construction organisations have the potential to influence the VfM achieved on both current and future collaborative projects.

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While most studies examine the effect of marketing, innovation, and learning capabilities (often separately) on performance, this study develops a unified model to investigate the combined effect of these capabilities on performance. This study further examines the complementary effect of these capabilities on performance. This study draws on the resource-based view theory to examine 171 manufacturing SMEs. The findings suggest that marketing, innovation, and learning capabilities are positively related to SME performance. In addition, these capabilities interact with one another to create great synergy in achieving SME performance.

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This paper examines the role of human resource practices in the development of knowledge and learning capabilities for innovation for information technology service providers (ITSP) in India. Developing knowledge and learning capabilities for innovation has been the subject of much attention from industry, governments and researchers. However, the questions surrounding how human resource practices influence the development of knowledge and learning capabilities that lead to organizational innovation remains unclear; particularly for knowledge intensive firms in developing countries. The study draws from the experience of 11 of the largest ITSPs in India and based on in-depth interviews. The findings suggest that while traditional human resource practices are important, senior executives should take a strategic approach in developing human resource practices with knowledge and learning capabilities as central piece for organizational innovation.

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Little is known about how human resource practices contribute towards the competitiveness of people based-knowledge intensive organisations in developing countries. This paper examines the role of human resource practices in developing knowledge and learning capabilities for innovation in the Indian information technology services sector. The study draws from the experience of a sample of 11 of the largest information technology service providers (ITSPs) in India and is based on in-depth interviews. The main finding suggests that the talent management architecture of ITSPs that comprises human resource practices and the development of knowledge and learning capabilities is the main drivers of innovation. A conceptual framework showing the link between human resource practices, knowledge and learning capabilities and innovation of ITSPs is developed followed by the limitations of the study and avenues for future research.

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Although the role of strategic leadership in developing organizational learning capabilities has been examined to a certain extent, the specific behaviors and mechanisms through which these capabilities are developed have not been adequately understood. Paucity of research in this direction is even more conspicuous in a small firm/entrepreneurship context, which has been linked to innovation, economic growth, and employment generation. Reporting on an ethnographic study of a knowledge-intensive, growth-oriented small firm, this article addresses this gap in the literature by integrating strategic leadership and organizational learning theory in an entrepreneurship context. In this undertaking, situated learning theory is used as the major analytical lens, to shed light on how strategic leadership can build organizational learning capabilities that underpin entrepreneurial performance in small firms. Finally, implications for situated learning theory as an organizational learning perspective and leadership practice in an entrepreneurship context are submitted. © 2012 Wiley Periodicals, Inc.

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Broward Schools is addressing an achievement gap for Black males with a collective impact initiative. Collective impact initiatives address complex social problems. The social learning capability of the initiative can be enhanced by applying Wenger’s (2009) social learning spaces, learning as citizenship, and social artists concepts.

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While past knowledge-based approaches to service innovation have emphasized the role of integration of knowledge in the provisioning of solutions, these approaches fail to address complexities involved with knowledge integration in project-oriented context, specifically, how the firm’s capability to acquire new knowledge from clients and past project episodes influence the development of new service solutions. Adopting a dynamic capability framework and building on knowledge-based approaches to innovation, this paper presents a conceptual model that captures the interplay of learning capabilities and the knowledge integration capability in the service innovation-based competitive strategy. Implications to theory and directions for future research are discussed.

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While past knowledge-based approaches to service innovation have emphasized the role of knowledge integration in the delivery of customer-focused solutions, these approaches do not adequately address the complexities inherent in knowledge acquisition and integration in project-oriented firms. Adopting a dynamic capability framework and building on knowledge-based approaches to innovation, the current study examines how the interplay of learning capabilities and knowledge integration capability impacts service innovation and sustained competitive advantage. This two-stage multi-sample study finds that entrepreneurial project-oriented service firms in their quest for competitive advantage through greater innovation invest in knowledge acquisition and integration capabilities. Implications for theory and practice are discussed and directions for future research provided.

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Background Value for money (VfM) on collaborative construction projects is dependent on the learning capabilities of the organisations and people involved. Within the context of infrastructure delivery, there is little research about the impact of organisational learning capability on project value. The literature contains a multiplicity of often un-testable definitions about organisational learning abilities. This paper defines learning capability as a dynamic capability that participant organisations purposely develop to add value to collaborative projects. The paper reports on a literature review that proposes a framework that conceptualises learning capability to explore the topic. This work is the first phase of a large-scale national survey funded by the Alliancing Association of Australasia and the Australian Research Council. Methodology Desk-top review of leading journals in the areas of strategic management, strategic alliances and construction management, as well as recent government documents and industry guidelines, was undertaken to synthesise, conceptualise and operationalise the concept of learning capability. The study primarily draws on the theoretical perspectives of the resource-based view of the firm (e.g. Barney 1991; Wernerfelt 1984), absorptive capacity (e.g. Cohen and Levinthal 1990; Zahra and George 2002); and dynamic capabilities (e.g. Helfat et al. 2007; Teece et al. 1997; Winter 2003). Content analysis of the literature was undertaken to identify key learning routines. Content analysis is a commonly used methodology in the social sciences area. It provides rich data through the systematic and objective review of literature (Krippendorff 2004). NVivo 9, a qualitative data analysis software package, was used to assist in this process. Findings and Future Research The review process resulted in a framework for the conceptualisation of learning capability that shows three phases of learning: (1) exploratory learning, (2) transformative learning and (3) exploitative learning. These phases combine both internal and external learning routines to influence project performance outcomes and thus VfM delivered under collaborative contracts. Sitting within these phases are eight categories of learning capability comprising knowledge articulation, identification, acquisition, dissemination, codification, internationalisation, transformation and application. The learning routines sitting within each category will be disaggregated in future research as the basis for measureable items in a large-scale survey study. The survey will examine the extent to which various learning routines influence project outcomes, as well as the relationships between them. This will involve identifying the routines that exist within organisations in the construction industry, their resourcing and rate of renewal, together with the extent of use and perceived value within the organisation. The target population is currently estimated to be around 1,000 professionals with experience in relational contracting in Australia. This future research will build on the learning capability framework to provide data that will assist construction organisations seeking to maximise VfM on construction projects.

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Australia is a leading user of collaborative procurement methods, which are used to deliver large and complex infrastructure projects. Project alliances, Early Contractor Involvement (ECI), and partnering are typical examples of collaborative procurement models. In order to increase procurement effectiveness and value for money (VfM), clients have adopted various learning strategies for new contract development. However client learning strategies and behaviours have not been systematically analysed before. Therefore, the current paper undertakes a literature review addressing the research question “How can client learning capabilities be effectively understood?”. From the resource-based and dynamic capability perspectives, this paper proposes that the collaborative learning capability (CLC) of clients drives procurement model evolution. Learning routines underpinning CLC carry out exploratory, transformative and exploitative learning phases associated with collaborative project delivery. This learning improves operating routines, and ultimately performance. The conceptualization of CLC and the three sequential learning phases is used to analyse the evidence in the construction management literature. The main contribution of this study is the presentation of a theoretical foundation for future empirical studies to unveil effective learning strategies, which help clients to improve the performance of collaborative projects in the dynamic infrastructure market.

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A new clustering technique, based on the concept of immediato neighbourhood, with a novel capability to self-learn the number of clusters expected in the unsupervized environment, has been developed. The method compares favourably with other clustering schemes based on distance measures, both in terms of conceptual innovations and computational economy. Test implementation of the scheme using C-l flight line training sample data in a simulated unsupervized mode has brought out the efficacy of the technique. The technique can easily be implemented as a front end to established pattern classification systems with supervized learning capabilities to derive unified learning systems capable of operating in both supervized and unsupervized environments. This makes the technique an attractive proposition in the context of remotely sensed earth resources data analysis wherein it is essential to have such a unified learning system capability.

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Humans have exceptional abilities to learn new skills, manipulate tools and objects, and interact with our environment. In order to be successful at these tasks, our brain has become exceptionally well adapted to learning to deal not only with the complex dynamics of our own limbs but also with novel dynamics in the external world. While learning of these dynamics includes learning the complex time-varying forces at the end of limbs through the updating of internal models, it must also include learning the appropriate mechanical impedance in order to stabilize both the limb and any objects contacted in the environment. This article reviews the field of human learning by examining recent experimental evidence about adaptation to novel unstable dynamics and explores how this knowledge about the brain and neuro-muscular system can expand the learning capabilities of robotics and prosthetics. © 2006.