Introducing a Framework to Capture and Reuse Tacit Knowledge in Software Project Management

In rapidly growing global companies, comprehensive training programs as well as in depth sharing of knowledge are essential factors to maintain the quality of human capital despite rapid expansion. Different dimensions of Knowledge management address the need and approach to leverage dispersed knowledge in order to make it visible and accessible for everyone to improve organizational performance. However, there has been a scarcity of successful and holistic models that define and categorize tacit knowledge in order to capture and distribute it for the benefit of others. This paper focuses on developing a framework in order to capture experiences regarding software project management and to provide a platform for managers to inherit knowledge from and bequeath their learning to others at large organizations. In order to build up and enhance the framework, the majority of information was gleaned from intensive interviews with top software project managers at Infosys, a well-known global company in the field of software development and consulting services. The final framework we developed can act as a comprehensive data-repository for capturing, storing, searching, and distributing tacit knowledge of project managers

Do you have a source for that?: Understanding the challenges of collaborative evidence-based journalism

WikiTribune is a pilot news service, where evidence-based articles are co-created by professional journalists and a community of volunteers using an open and collaborative digital platform. The WikiTribune project is set within an evolving and dynamic media landscape, operating under principles of openness and transparency. It combines a commercial for-profit business model with an open collaborative mode of production with contributions from both paid professionals and unpaid volunteers. This descriptive case study captures the first 12-months of WikiTribune's operations to understand the challenges and opportunities within this hybrid model of production. We use the rich literature on Wikipedia to understand the WikiTribune case and to identify areas of convergence and divergence, as well as avenues for future research. Data was collected on news articles with a focus on the time it takes for an article to reach published status, the number and type of contributors typically involved, article activity and engagement levels, and the types of topics covered

Hidden or Implicit Contextual Factors Influencing User Participation in Online Production Communities

User participation is an inextricable part of online communities that live off user-generated content. Since these communities depend on sustained participation, they often employ various incentives to maximize the contributions and collective intelligence of users. Most prior research on user participation is focused on one specific type of production community (e.g. open source or Wikipedia) or on explicit incentives. However, despite the large body of literature devoted to this area, few systematic attempts have yet been made to identify common hidden or implicit factors. These factors sometimes have considerable impact on user commitment and participation. In this paper, we review and organize the pertinent literature and provide a generic list of implicit factors that account for a sustained flow of contributions. We also hypothesize a model that represents the interdependencies of some of these factors. The outcome provides community designers with a fine-grained knowledge framework and the corresponding design guidelines

A Novel Fuzzy Approach to Speech Recognition, Hybrid Intelligent Systems

This paper presents a novel approach to speech recognition using fuzzy modeling. The task begins with conversion of speech spectrogram into a linguistic description based on arbitrary colors and lengths. While phonemes are also described using these fuzzy measures, and recognition is done by normal fuzzy reasoning, a genetic algorithm optimizes phoneme definitions so that to classify samples into correct phonemes. The method is tested over a standard speech data base and the results are presented. 1