327 research outputs found

    The Semantic Web-Based Collaborative Knowledge Management

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    Social media, interactive tools that change business model dynamics

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    The aim of this research is two-folded. On the one hand, it attempts to assist employers of Catalan micro-retailers in designing, implementing and developing their Social Media strategy as a complementary channel of communication. On the other hand, it attempts to contribute to the research community with a better understanding on both which building block of the micro-retailer¿s Business Model is more influenced by the customer level of interaction by means of the Social Media and how a transformation can be observed in the micro-retailers¿ Business Models as a result of the Social Media implementation. The research question to be answered in this paper is how the transformation of the activity system of the micro-retailers¿ Business Model would allow the emergence of a Participatory Business Model by means of Social Media. To carry out this research the Participatory Action Research methodology was used, whose contribution has two results: the one is more practitioner oriented and the other is more academic. The incipient results of the research showed a scarce transformation of Catalan microretailer¿s business model as a consequence of the implementation of social media. However, it is significant enough to be considered as more than just a simple adoption of an alternative channel of communication. One of the main contributions is related to how customer influences the activity system of the micro-retailer¿s business model beyond four levels of customer interaction (communication, interaction, participation and collaboration) by means of social media. On the one hand, the activity system of a business model is referred to the eight building blocks of Osterwalder, Pigneur and Tucci (2005) research that includes customer segment, customer relationship, distribution channel, capabilities, partner, value configuration, value proposition, profit and cost. On the other hand, the four defined levels of customer interaction are based on the literature of group collaboration systems. The results showed that not all the building blocks forming the business model are influenced by consumer interaction. The only building blocks influenced by an initial communication level in the current social media strategy implementation stage of our sample (five micro-retailers) are the following: customer segment, customer relationship, distribution channel, value proposition and cost. This incipient stage of transformation can be justified by a lack of effort made due to the small size of the business and a lack of team working inside the companies, easily adapting to changes. It can also be justified by the fact it was carried out by the micro-retailers only during a short period of time (14 month). Another contribution of the paper shows that Social Media transformation drives a BM innovation according to the following mediator elements: (1) the dynamic capabilities, (2) the ability of learning, (3) the dedicated effort, (4) the implementation time and (5) the level of customer participation

    Knowledge creation community portal for research development

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    Developing thesis research remains the central requirement of graduation for most universities. Lack of personal knowledge and experience are among the main challenges facing post graduate students during their research completion. Failure to resolve these issues could lead to drop out or delay their graduation. It is considered that previously unacquainted research students who have already gone through the research writing can be a good knowledge and experience resource for those who have just started. It is a highly desirable to help post graduate students in order to overcome their difficulties in research development through facilitating experience and knowledge-sharing. Online communities and social networking have become important aspects in information systems technology nowadays. Developing or emerging these online communities for connecting educators can establish a powerful form of sustained professional learning. The purpose of this study is to develop web based community of knowledge-creation for research development, to help post graduate students overcome their research development difficulties, and to achieve such strategically professional sustainability. Multi-methodological approach was used for this study as it is more advisable for information system development research. The research was started by observation, literature review, and interviews to understand the current situation and identify required web tools and knowledge conversions within research development activities; next a questionnaire is used to develop the proposed model. Finally the information system was developed based on the proposed model. The user acceptance test proofs that the proposed model and developed system can successfully implemented and help post graduate students to overcome their difficulties

    Academic institutional repositories in China: A survey of CALIS member libraries

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    Purpose: China Academic Library &amp; Information System (CALIS) planned to launch an institutional repository (IR) project to promote IR development and open access at colleges and universities in China. In order to get to know the current state of IRs in academic institutions, with the help of Peking University Library, CALIS Administrative Center conducted this survey.Design/methodology/approach: We conducted an online survey of CALIS member libraries.Findings: Firstly, the development of IRs at China's colleges and universities is still in its infancy. Secondly, the Chinese colleges and universities have reached a consensus on the objective for having an IR. Thirdly, they are having high expectations of IR&nbsp;functions. Fourthly, they prefer to establish a centralized IR system at a minimum cost. Finally, there are both similarities and differences between the Chinese academic institutions and their counterparts in other countries in the state of IR development.Research limitations: The questionnaire needs to be improved because there is a lack of enough questions for those who do not plan to build an IR. Comparatively lower rate of valid questionnaire return can affect the accuracy of the results. It is hard to go into an in-depth discussion only based on the data collected from this questionnaire survey, and consequently, the findings from the survey can hardly present an accurate and comprehensive picture of the current state of IR development in the academic sector in China.Practical implications: The survey results provide essential foundation for CALIS IR project, and meanwhile the research can serve as a reference source for the future studies of the development of IRs at China's colleges and universities.Originality/value: It is the first national survey focused on the development of IRs in academic institutions in China.</p

    Academic domains as political battlegrounds: A global enquiry by 99 academics in the fields of education and technology

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    This article theorizes the functional relationship between the human components (i.e., scholars) and nonhuman components (i.e., structural configurations) of academic domains. It is organized around the following question: in what ways have scholars formed and been formed by the structural configurations of their academic domain? The article uses as a case study the academic domain of education and technology to examine this question. Its authorship approach is innovative, with a worldwide collection of academics (99 authors) collaborating to address the proposed question based on their reflections on daily social and academic practices. This collaboration followed a three-round process of contributions via email. Analysis of these scholars’ reflective accounts was carried out, and a theoretical proposition was established from this analysis. The proposition is of a mutual (yet not necessarily balanced) power (and therefore political) relationship between the human and non-human constituents of an academic realm, with the two shaping one another. One implication of this proposition is that these non-human elements exist as political ‘actors’, just like their human counterparts, having ‘agency’ – which they exercise over humans. This turns academic domains into political (functional or dysfunctional) ‘battlefields’ wherein both humans and non-humans engage in political activities and actions that form the identity of the academic domain

    Learners not lurkers : connecting conceptual and social networks in science education /

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    La présente recherche a été subventionnée par le ministère de lEnseignement supérieur, de la Recherche et de la Science dans le cadre du Programme daide à la recherche sur lenseignement et lapprentissage (PAREA).Comprend des références bibliographique

    Fuchs seminar n.1

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    Raising and Rising Voices in Social Media - A Novel Methodological Approach in Studying Cyber-Collective Movements

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    Emerging cyber-collective social movements (CSMs) have frequently made headlines in the news. Despite their popularity, there is a lack of systematic methodologies to empirically study such movements in complex online environments. Using the Al-Huwaider online campaign as a case to illustrate our methodology, this contribution attempts to establish a rigorous and fundamental analysis that explains CSMs. We collected 150 blogs from 17 countries ranging between April 2003 and July 2010 with a special focus on Al-Huwaider’s campaigns capturing multi-cultural aspects for our analysis. Bearing the analysis upon three central tenets of individual, community, and transnational perspectives, we develop novel algorithms modeling CSMs by utilizing existing collective action theories and computational social network analysis. This article contributes a methodology to study the diffusion of issues in social networks and examines roles of influential community members. The proposed methodology provides a rigorous tool to understand the complexity and dynamics of CSMs. Such methodology also assists us in observing the transcending nature of CSMs with future possibilities for modeling transnational outreach. Our study addresses the lack of fundamental research on the formation of CSMs. This research contributes novel methodologies that can be applied to many settings including business, marketing and many others, beyond the exemplary setting chosen here for illustrative purposes

    Using Fuzzy Sentiment Computing and Inference Method to Study Consumer Online Reviews

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    As a new type of word-of-mouth information, online consumer reviews possess critical information regarding consumer‘s concerns and their experience with the product or service. Such information is considered essential to firms‘ business intelligence which can be utilized for the purpose of production recommendation, personalization, and better customer understanding. This paper considers the problem of online reviews sentiment mining based on the theory of consumer psychology and behavior. Given the fuzzy attribute nature of the online reviews, we have established fuzzy group bases of consumer psychology. Four fuzzy bases, including features, sense, mood and evaluation, are established. The consumer attitude elements are reflected by natural language reviews. A fuzzy sentiment computing algorithm of online reviews for consumer sentiment is developed, and a fuzzy rule base is also presented based on consumer decision-making process. Finally it shows by means of an experiment that the proposed approach is very well suited as an analysis tool for the online reviews sentiment mining problem

    Modélisation probabiliste du style d'apprentissage et application à l'adaptation de contenus pédagogiques indexés par une ontologie

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    Cette thèse s'inscrit dans le cadre général des systèmes d'enseignement adaptatifs. La problématique traitée est l'adaptation de l'activité pédagogique au mode d'apprentissage préféré de l'élève. Les travaux réalisés ont eu pour objectifs de : modéliser les préférences d'apprentissage de l'élève ; modéliser les contenus pédagogiques du domaine à enseigner ; proposer une stratégie d'adaptation qui rapproche les préférences des contenus afin de proposer une méthode pédagogique appropriée. Pour atteindre le premier objectif, la thèse étudie le style d'apprentissage de Felder. Une étude empirique pour établir un modèle de dépendance entre style, pédagogie, et comportement de l'élève a été réalisée. Les résultats ont permis d'établir un modèle de préférences probabiliste. Une méthode en deux étapes pour apprendre ce odèle puis le renforcer est développée. Deux implantations sont proposées : un réseau bayésien et une machine à vecteurs de support. Le contenu quant à lui est modélisé en utilisant une ontologie combinant le domaine, la pédagogie, ainsi que les ressources physiques. Une stratégie d'adaptation structurée sur quatre dimensions est présentée. Celle-ci consiste à rechercher dans le contenu la séquence pédagogique sémantiquement pertinente pour les préférences de l'élève. La recherche s'appuie sur une mesure de similarité sémantique qui est établie. Ce travail a eu un impact sur deux projets européens. En effet, la méthode de production et structuration des contenus, basée sur SCORM, qui est proposée a servi pour le projet UP2UML. L'approche de modélisation de l'élève sert aux recherches sur le profilage dans le projet KPLAB. ABSTRACT : This thesis deals with adaptive teaching systems. The research question is how to adapt pedagogical activities to the prefered learning mode of a student. The scientific objectives are: modelisation of student's learning preferences ; modelisation of adaptive learning contents of a given domain ; establishing an adaptation strategy that maps preferences to contents in order to recommend an appropriate teaching method In order to reach the first objective, the thesis studies the learning style of Felder. An empirical study to derive a dependency model between the style, the pedagogy, and the student behaviour has been conducted. Results led to creating a probabilistic preference model. A two-stage method to learn and reinforce the model is developed. Two implementations are proposed: a bayesian network and an SVM classifier. The content is represented using an ontology that combines the domain, the pedagogy, and the physical resources. An adaptation strategy centered around four dimensions is presented. This consists of searching the content to retrieve the most semantically pertinent pedagogical sequence given the student preferences. The search implements an original semantic similarity measure. This work significantly impacted two European research projects. The production and structuration method designed in this thesis and based on SCORM has been applied in the Leonardo Da Vinci project called UP2UML. The student modeling approche serves currently our research on user profiling in the KPLAB projec
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