69,915 research outputs found
Bridging the Innovation Divide: An Agenda for Disseminating Technology Innovations within the Nonprofit Sector
Examines technology practices -- such as neighborhood information systems, electronic advocacy, Internet-based micro enterprise support, and digital inclusion initiatives -- that strengthen the capacity of nonprofits and community organizations
Beyond ‘the Beamer, the boat and the bach’? A content analysis-based case study of New Zealand innovative firms
In this paper we will use case studies to seek to understand the dynamic innovation processes at the level of the firm and to explain the apparent 'enigma' between New Zealand's recent innovation performance and economic growth. A text-mining tool, Leximancer, (version 4) was used to analyse the case results, based on content analysis. The case studies reveal that innovation in New Zealand firms can be best described as 'internalised', and the four key factors that affect innovation in New Zealand firms are ‘Product’, ‘Market’, ‘People’ and ‘Money’. New Zealand may be an ideal place for promoting local entrepreneurship, however, many market/technology opportunities cannot be realized in such a small and isolated economy, hence the poor economic performance
Thinking about growth : a cognitive mapping approach to understanding small business development
School of Managemen
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An agent-based fuzzy cognitive map approach to the strategic marketing planning for industrial firms
This is the post-print version of the final paper published in Industrial Marketing Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Industrial marketing planning is a typical example of an unstructured decision making problem due to the large number of variables to consider and the uncertainty imposed on those variables. Although abundant studies identified barriers and facilitators of effective industrial marketing planning in practice, the literature still lacks practical tools and methods that marketing managers can use for the task. This paper applies fuzzy cognitive maps (FCM) to industrial marketing planning. In particular, agent based inference method is proposed to overcome dynamic relationships, time lags, and reusability issues of FCM evaluation. MACOM simulator also is developed to help marketing managers conduct what-if scenarios to see the impacts of possible changes on the variables defined in an FCM that represents industrial marketing planning problem. The simulator is applied to an industrial marketing planning problem for a global software service company in South Korea. This study has practical implication as it supports marketing managers for industrial marketing planning that has large number of variables and their cause–effect relationships. It also contributes to FCM theory by providing an agent based method for the inference of FCM. Finally, MACOM also provides academics in the industrial marketing management discipline with a tool for developing and pre-verifying a conceptual model based on qualitative knowledge of marketing practitioners.Ministry of Education, Science and Technology (Korea
Mapping knowledge management and organizational learning in support of organizational memory
The normative literature within the field of Knowledge Management has concentrated on techniques and methodologies for allowing knowledge to be codified and made available to individuals and groups within organizations. The literature on Organizational Learning however, has tended to focus on aspects of knowledge that are pertinent at the macro-organizational level (i.e. the overall business). The authors attempt in this paper to address a relative void in the literature, aiming to demonstrate the inter-locking factors within an enterprise information system that relate knowledge management and organizational learning, via a model that highlights key factors within such an inter-relationship. This is achieved by extrapolating data from a manufacturing organization using a case study, with these data then modeled using a cognitive mapping technique (Fuzzy Cognitive Mapping, FCM). The empirical enquiry explores an interpretivist view of knowledge, within an Information Systems Evaluation (ISE) process, through the associated classification of structural, interpretive and evaluative knowledge. This is achieved by visualizng inter-relationships within the ISE decision-making approach in the case organization. A number of decision paths within the cognitive map are then identified such that a greater understanding of ISE can be sought. The authors therefore present a model that defines a relationship between Knowledge Management (KM) and Organisational Learning (OL), and highlights factors that can lead a firm to develop itself towards a learning organization
Harnessing Collaborative Technologies: Helping Funders Work Together Better
This report was produced through a joint research project of the Monitor Institute and the Foundation Center. The research included an extensive literature review on collaboration in philanthropy, detailed analysis of trends from a recent Foundation Center survey of the largest U.S. foundations, interviews with 37 leading philanthropy professionals and technology experts, and a review of over 170 online tools.The report is a story about how new tools are changing the way funders collaborate. It includes three primary sections: an introduction to emerging technologies and the changing context for philanthropic collaboration; an overview of collaborative needs and tools; and recommendations for improving the collaborative technology landscapeA "Key Findings" executive summary serves as a companion piece to this full report
Benefits of Computer Based Content Analysis to Foresight
Purpose of the article: The present manuscript summarizes benefits of the use of computer-based content
analysis in a generation phase of foresight initiatives. Possible advantages, disadvantages and limitations of
the content analysis for the foresight projects are discussed as well.
Methodology/methods: In order to specify the benefits and identify the limitations of the content analysis
within the foresight, results of the generation phase of a particular foresight project performed without
and subsequently with the use of computer based content analysis tool were compared by two proposed
measurements.
Scientific aim: The generation phase of the foresight is the most demanding part in terms of analysis duration,
costs and resources due to a significant amount of reviewed text. In addition, the conclusions of the foresight
evaluation are dependent on personal views and perceptions of the foresight analysts as the evaluation is
based merely on reading. The content analysis may partially or even fully replace the reading and provide an
important benchmark.
Findings: The use of computer based content analysis tool significantly reduced time to conduct the foresight
generation phase. The content analysis tool showed very similar results as compared to the evaluation
performed by the standard reading. Only ten % of results were not revealed by the use of content analysis tool.
On the other hand, several new topics were identified by means of content analysis tool that were missed by
the reading.
Conclusions: The results of two measurements should be subjected to further testing within more foresight
projects to validate them. The computer based content analysis tool provides valuable benchmark to the
foresight analysts and partially substitute the reading. However, a complete replacement of the reading is not
recommended, as deep understanding to weak signals interpretation is essential for the foresight
Community Development Evaluation Storymap and Legend
Community based organizations, funders, and intermediary organizations working in the community development field have a shared interest in building stronger organizations and stronger communities. Through evaluation these organizations can learn how their programs and activities contribute to the achievement of these goals, and how to improve their effectiveness and the well-being of their communities. Yet, evaluation is rarely seen as part of a non-judgemental organizational learning process. Instead, the term "evaluation" has often generated anxiety and confusion. The Community Development Storymap project is a response to those concerns.Illustrations found in this document were produced by Grove Consultants
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