943 resultados para Acces Information Act. Transparency. System information. Design science
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Considering the sheer speed, complexity and ever changing risk in today’s technology saturated business environment, it’s hardly surprising that the call for digitally savvy directors is increasing. Emerging research suggests serious consequences for boards that continue to ignore or delegate enterprise-level technology governance.
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Process models expressed in BPMN typically rely on a small subset of all available symbols. In our 2008 study, we examined the composition of these subsets, and found that the distribution of BPMN symbols in practice closely resembles the frequency distribution of words in natural language. We offered some suggestions based on our findings, how to make the use of BPMN more manageable and also outlined ideas for further development of BPMN. Since this paper was published it has provoked spirited debate in the BPM practitioner community, prompted the definition of a modeling standard in US government, and helped shape the next generation of the BPMN standard.
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Review of the book 'Access to East European and Eurasian culture: publishing, acquisitions, digitization, metadata', edited by Miranda Remnek, published by Haworth Information Press, 2009.
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The purpose of this paper is to demonstrate the efficacy of collaborative evidence based information practice (EBIP) as an organizational effectiveness model. Shared leadership, appreciative inquiry and knowledge creation theoretical frameworks provide the foundation for change toward the implementation of a collaborative EBIP workplace model. Collaborative EBIP reiterates the importance of gathering the best available evidence, but it differs by shifting decision-making authority from "library or employer centric" to "user or employee centric". University of Colorado Denver Auraria Library Technical Services department created a collaborative EBIP environment by flattening workplace hierarchies, distributing problem solving and encouraging reflective dialogue. By doing so, participants are empowered to identify problems, create solutions, and become valued and respected leaders and followers. In an environment where library budgets are in jeopardy, recruitment opportunities are limited and the workplace is in constant flux, the Auraria Library case study offers an approach that maximizes the capability of the current workforce and promotes agile responsiveness to industry and organizational challenges. Collaborative EBIP is an organizational model demonstrating a process focusing first on the individual and moving to the collective to develop a responsive and high performing business unit, and in turn, organization.
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Risk identification is one of the most challenging stages in the risk management process. Conventional risk management approaches provide little guidance and companies often rely on the knowledge of experts for risk identification. In this paper we demonstrate how risk indicators can be used to predict process delays via a method for configuring so-called Process Risk Indicators(PRIs). The method learns suitable configurations from past process behaviour recorded in event logs. To validate the approach we have implemented it as a plug-in of the ProM process mining framework and have conducted experiments using various data sets from a major insurance company.
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The communal nature of knowledge production predicts the importance of creating learning organisations where knowledge arises out of processes that are personal, social, situated and active. It follows that workplaces must provide both formal and informal learning opportunities for interaction with ideas and among individuals. This grounded theory for developing contemporary learning organisations harvests insights from the knowledge management, systems sciences, and educational learning literatures. The resultant hybrid theoretical framework informs practical application, as reported in a case study that harnesses the accelerated information exchange possibilities enabled through web 2.0 social networking and peer production technologies. Through complementary organisational processes, 'meaning making' is negotiated in formal face-to-face meetings supplemented by informal 'boundary spanning' dialogue. The organisational capacity building potential of this participatory and inclusive approach is illustrated through the example of the Dr. Martin Luther King, Jr. Library in San Jose, California, USA. As an outcome of the strategic planning process at this joint city-university library, communication, decision-making, and planning structures, processes, and systems were re-invented. An enterprise- level redesign is presented, which fosters contextualising information interactions for knowledge sharing and community building. Knowledge management within this context envisions organisations as communities where knowledge, identity, and learning are situated. This framework acknowledges the social context of learning - i.e., that knowledge is acquired and understood through action, interaction, and sharing with others. It follows that social networks provide peer-to-peer enculturation through intentional exchange of tacit information made explicit. This, in turn, enables a dynamic process experienced as a continuous spiral that perpetually elevates collective understanding and enables knowledge creation.
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This paper, founded within Enterprise 2.0, knowledge management and informed learning theory, outlines the introduction of Yammer, an enterprise microblogging application at CPA Australia. The implementation and adoption process is discussed through usage analysis, and resulting outcomes through user success stories. Lessons learned provide a framework for organisations looking to adopt social networking tools within their own organisational environment.
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According to Australian Job Search, just 14% of librarians are under the age of 35. As a Generation Y librarian, flexibility is a key factor to ensuring survival in the Baby Boomer library and overcoming employment, promotion and in particular stereotype barriers. This paper draws upon generational and library workforce research, coupled with industry experience to provide practical advice and strategies to break through both personal and professional barriers for the Generation Y librarian in the Baby Boomer library world. Industry understanding, drawn from personal experiences of working in public, education and special libraries, utilises my journey as a librarian since graduation in 2005 to discuss barriers faced and methods for breaking through. In my previous position as Teaching and Learning Librarian at Northern Melbourne Institute of TAFE from 35 library staff I was the sole member under 30. In addition I was the youngest member of the Library Management Team by 20 years, providing a perfect example of the Generation Y librarian within a Baby Boomer environment. This experience provides the platform for exploring strategies for understanding and overcoming ageist ideas, generational stereotypes, and employment barriers. Discussion regarding the need to develop sound industry knowledge for survival within the library world will also be raised.
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Process mining encompasses the research area which is concerned with knowledge discovery from event logs. One common process mining task focuses on conformance checking, comparing discovered or designed process models with actual real-life behavior as captured in event logs in order to assess the “goodness” of the process model. This paper introduces a novel conformance checking method to measure how well a process model performs in terms of precision and generalization with respect to the actual executions of a process as recorded in an event log. Our approach differs from related work in the sense that we apply the concept of so-called weighted artificial negative events towards conformance checking, leading to more robust results, especially when dealing with less complete event logs that only contain a subset of all possible process execution behavior. In addition, our technique offers a novel way to estimate a process model’s ability to generalize. Existing literature has focused mainly on the fitness (recall) and precision (appropriateness) of process models, whereas generalization has been much more difficult to estimate. The described algorithms are implemented in a number of ProM plugins, and a Petri net conformance checking tool was developed to inspect process model conformance in a visual manner.
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Comments on “Qualification Profile of University Professors in Business and Information Systems Engineering (BISE)”
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Facial landmarks play an important role in face recognition. They serve different steps of the recognition such as pose estimation, face alignment, and local feature extraction. Recently, cascaded shape regression has been proposed to accurately locate facial landmarks. A large number of weak regressors are cascaded in a sequence to fit face shapes to the correct landmark locations. In this paper, we propose to improve the method by applying gradual training. With this training, the regressors are not directly aimed to the true locations. The sequence instead is divided into successive parts each of which is aimed to intermediate targets between the initial and the true locations. We also investigate the incorporation of pose information in the cascaded model. The aim is to find out whether the model can be directly used to estimate head pose. Experiments on the Annotated Facial Landmarks in the Wild database have shown that the proposed method is able to improve the localization and give accurate estimates of pose.
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Over the past few years many organizations that directly or indirectly interact with consumers have invested heavily into a social media presence. As a consequence some success indicators are openly available to users of many social media platforms, such as the number of fans (or followers, members, visitors and others) or the amount of content(tweets, images, shares or other content). Many organizations additionally track their social activities internally to understand audience reach, consumer influence, brand image, consumer preference or other key metrics that make sense for a business. However, most of the immediately available social media success metrics are activity-based and many organizations are struggling with establishing a direct relationship to business success. This paper systematically reviews some of the common social media metrics/ratings used by organisations, critically analyse its business value and identify gaps formulating research questions for empirical study and concluding with recommendations and suggestions for future research.
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In competitive environments agility is emerging as an important determinant of success. Despite the widely accepted importance of agility there has been paucity in research on this construct, especially the customer’s perspective of agility. Rise of digital natives together with growth of ubiquitous information systems has changed the way firms engage with their customers. Firms are finding it difficult to establish sustained loyalty hence the long term sustained advantage over competition. Hence, firms are increasingly investing substantial resources on dynamic Customer Relationship Management systems such as mobile-CRMS to better engage with customers to sense and respond quickly (Agility of the firm) to their demands. This paper investigates firm’s customer agility from customer’s perspective, and we propose a model to understand firm’s customer agility from customer’s point of view. The proposed model is derived based on previous conceptions of agility and the expectation confirmation theory (ECT). This paper reports the initial findings of this study obtained through a pilot test. The findings of the study demonstrate that customer’s view point on firm’s customer agility is an important determinant of achieving success through sustained competitive advantage.
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Organizations make increasingly use of social media in order to compete for customer awareness and improve the quality of their goods and services. Multiple techniques of social media analysis are already in use. Nevertheless, theoretical underpinnings and a sound research agenda are still unavailable in this field at the present time. In order to contribute to setting up such an agenda, we introduce digital social signal processing (DSSP) as a new research stream in IS that requires multi-facetted investigations. Our DSSP concept is founded upon a set of four sequential activities: sensing digital social signals that are emitted by individuals on social media; decoding online data of social media in order to reconstruct digital social signals; matching the signals with consumers’ life events; and configuring individualized goods and service offerings tailored to the individual needs of customers. We further contribute to tying loose ends of different research areas together, in order to frame DSSP as a field for further investigation. We conclude with developing a research agenda.