The Experts below are selected from a list of 187605 Experts worldwide ranked by ideXlab platform
Deborah Richards - One of the best experts on this subject based on the ideXlab platform.
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a Social Software web 2 0 approach to collaborative knowledge engineering
Information Sciences, 2009Co-Authors: Deborah RichardsAbstract:Expert systems have traditionally captured the explicit knowledge of a single expert or source of expertise in order to automatically provide conclusions or classifications within a narrow problem domain. This is in stark contrast to Social Software which enables knowledge communities to share implicit knowledge of a more practical or experiential nature to inform individuals and groups to arrive at their own conclusions. Specialists are often needed to elicit and encode the knowledge in the case of expert systems, whereas one of the (claimed) hallmarks of Social Software and the Web 2.0 trend, such as Wikis and Blogs, is that everyone, anywhere can chose to contribute input. This openness in authoring and sharing content, however, tends to produce unstructured knowledge that is difficult to execute, reason over or automatically validate. This also poses limitations for its reuse. To facilitate the capture of knowledge-in-action which spans both explicit and tacit knowledge types, a knowledge engineering approach which offers Wiki-style collaboration is introduced. The approach extends a combined rule and case-based knowledge acquisition technique known as Multiple Classification Ripple Down Rules to allow multiple users to collaboratively view, define and refine a knowledge base over time and space.
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web 2 0 supported collaborative learning activities towards an affordance perspective
2008Co-Authors: Andreas U Kuswara, Andrew Cram, Deborah RichardsAbstract:Web 2.0 provides Social Software that is intuitively appealing for supporting e-learning/">collaborative learning. However, as revealed in our pilot case study, simply making Web 2.0 tools available or even mandating their usage does not guarantee that students will use the tools for e-learning/">collaborative learning. Even the use of a framework such as Activity Theory to guide the design of the unit did not ensure e-learning/">collaborative learning mediated by the technology. We propose that an affordances perspective may offer the guidance needed.
Stefan Smolnik - One of the best experts on this subject based on the ideXlab platform.
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Organizational Climate's Role in Enterprise Social Software Usage: An Empirical Assessment
2020Co-Authors: Maurice Kügler, Carsten Lübbert, Stefan SmolnikAbstract:Abstract. The focus of organizations' internal communication and collaboration infrastructures has recently been extended from conventional intranets to enterprise Social Software platforms (ESSPs). However, as ESSPs rely on content creation and interaction through users, many platforms struggle. Previous research suggests that organizational climate plays an important role during IS adoption. Accordingly, our study quantitatively explores the influence of organizational climate on both contributive ESSP usage (knowledge sharing) and consumptive ESSP usage (knowledge consumption). Our results indicate that organizational climate -measured by the dimensions of trust, collaboration norms, and community identification -influences employees' ESS
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uncovering the phenomenon of employees enterprise Social Software use in the post acceptance stage proposing a use typology
European Conference on Information Systems, 2014Co-Authors: Maurice Kügler, Stefan SmolnikAbstract:Social Software applications – such as wikis, weblogs, and Social networking sites – have in recent years attracted the attention of organizations. However, a better understanding of employees’ enterprise Social Software use behaviors would help organizations to make better informed decisions regarding enterprise Social Software implementations. As an important step toward addressing this need, this study – on the basis of (i) qualitative empirical data and (ii) existing literature – identifies four post-acceptance information system (IS) use behaviors related to how employees leverage implemented enterprise Social Software platforms (ESSPs): Consumptive use, contributive use, hedonic use, and Social use. A conceptualization of these four distinct use behaviors is proposed and subsequently validated based on data from 233 employees using an ESSP in the post-acceptance stage at a communications and high-tech sector organization. By providing an enterprise Social Software use framework, developing and rigorously validating an according measurement instrument, this study provides researchers as well as practitioners with a proven instrument to assess employees’ post-acceptance enterprise Social Software use behaviors.
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towards a measurement model of corporate Social Software success evidences from an exploratory multiple case study
Hawaii International Conference on System Sciences, 2011Co-Authors: Melanie Steinhuser, Stefan Smolnik, Uwe HoppeAbstract:In many organizations, Social Software is well established and no longer just a trend topic, which means that benefits are expected. As with any other type of information systems (IS), assessing Social Software success is an important and challenging task for both practitioners and researchers. This motivated us to present a conceptual model for measuring Social Software success. This model is based on Gable et al.'s IS Impact Measurement Model, a review of the related research, as well as data gained from three case studies. Our findings indicate that modifications have to be made to existing IS success measurement models regarding the peculiarities of Social Software. The results reveal that new measures are necessary. Furthermore, Social factors concerning the organization and the individuals can specifically influence Social Software success positively.
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towards assessing the success of Social Software in corporate environments
Americas Conference on Information Systems, 2009Co-Authors: Philip Raeth, Stefan Smolnik, Nils Urbach, Christian ZimmerAbstract:Induced by the widespread use of Social Software in personal contexts, companies wish to profit from its advantages. Owing to limited IT budgets and the need to justify investments in such systems, it is important to assess the benefits of employing Social Software in the corporate context. In this paper, we propose conceptual models for assessing the success of two specific types of Social Software: wikis and weblogs. These conceptual models are based on the DeLone and McLean IS Success Model as well as on an extensive review of Social Software literature. The two resulting models form the foundation for future empirical work in this area.
Denis Gillet - One of the best experts on this subject based on the ideXlab platform.
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graaasp a web 2 0 research platform for contextual recommendation with aggregated data
Human Factors in Computing Systems, 2010Co-Authors: Evgeny Bogdanov, Sandy El Helou, Denis Gillet, Christophe Salzmann, Stephane SireAbstract:In this paper we describe Graaasp, a Social Software currently under development to support the creation of a real usage database of Social artifacts. Our goals are twofold: First to offer a generic aggregation service and user interface to people and communities. Second, to experiment with recommendation and reputation models and algorithms in e-learning.
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Trust-based rating prediction for recommendation in web 2.0 collaborative learning Social Software
2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010, 2010Co-Authors: Na Li, Sandy El Helou, Denis GilletAbstract:Benefiting from the advent of Social Software, information sharing becomes pervasive. Personalized rating systems have emerged to evaluate the quality of user-generated content in open environment and provide recommendation based on users' past experience. In this paper, a trust-based rating prediction approach for recommendation in Web 2.0 e-learning/">collaborative learning Social Software is proposed. Trust network is exploited in the rating prediction scheme and a multi-relational trust metric is developed in an implicit way. Finally the evaluation of the approach is performed using the dataset of e-learning/">collaborative learning Social Software, namely Remashed.
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using Social Software for teamwork and collaborative project management in higher education
Lecture Notes in Computer Science, 2010Co-Authors: Carsten Ullrich, Sandy El Helou, Denis GilletAbstract:This paper discusses the potential role of Social Software in supporting teamwork and collaborative project management in higher education. Based on the fact that Social Software has been widely spread among young students nowadays, using it for e-learning/">collaborative learning is believed to increase students' involvement and create learning incentives. Two Social Software platforms, Graaasp and Google Wave are examined in terms of sustaining e-learning/">collaborative learning activities. Relevant existing features and possible extensions that enhance the learning experience are addressed. Benefits and challenges resulting from the bottom-up learning paradigm are also presented.
Agnes Koschmider - One of the best experts on this subject based on the ideXlab platform.
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Social Software and semantics for business process management alternative or synergy
Journal of Systems Integration, 2011Co-Authors: Agata Filipowska, Agnes Koschmider, Monika Kaczmarek, Sebastian Stein, Krzysztof Wecel, Witold AbramowiczAbstract:Business Process Management (BPM) provides support for managing organizations’ processes and facilitates their adaptation to changing market conditions. Although various BPM solutions have been successfully applied in industry, there are still many open issues to be addressed, e.g., ensuring commitment of employees in process modelling and reengineering or enabling automation of business processes lifecycle. Researchers are currently investigating the use of Semantic Web and Social Software technologies to overcome the existing problems. Based on the conducted study, we argue that although semantics and Social Software technologies focus on different problems, they may be combined as utilized together they enable organizations to advance their processes and adapt faster to changing market conditions.
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combining bpm and Social Software contradiction or chance
Journal of Software Maintenance and Evolution: Research and Practice, 2010Co-Authors: Selim Erol, Agnes Koschmider, Simone Happ, Sami Jantunen, Ben Jennings, Paul Johannesson, Davide Rossi, Selmin Nurcan, Michael Granitzer, Rainer SchmidtAbstract:Social Software has received much attention in the academia and industry due to many success stories. However, although Social Software is used widely for business support, its relationship with Business Process Management has not been analysed. The results of the workshop on Business Process Management and Social Software (BPMS2'08), as part of the International Conference on Business Process Management in Milano, show the manifold possibilities of combining concepts from Business Process Management and Social Software. Social Software provides a better integration of all stakeholders into the business process life cycle and offers new possibilities for a more effective and flexible design of business processes. The modelling of business processes may profit particularly from using Social Software techniques by alleviating the integration of process knowledge from all stakeholders. In addition, the implementation and deployment phase of the business process life cycle may profit from Social Software by collecting valuable information for continuous process improvement from a larger set of sources than before. Furthermore, Social Software environments may be used to provide workflow support. Moreover, the use of Social Software also requires new considerations about the digital identity and reputation in business processes. Copyright © 2010 John Wiley & Sons, Ltd. Social Software provides a better integration of all stakeholders into the business process lifecycle and offers new possibilities for a more effective and flexible design of business processes. The modelling of business processes may profit particularly from using Social Software techniques by alleviating the integration of process knowledge from all stakeholders. Also the implementation and deployment phase of the business process lifecycle may profit from Social Software by collecting valuable information for continuous process improvement from a larger set of sources than before. Furthermore, Social Software environments may be used to provide workflow support. Furthermore, the use of Social Software also requires new considerations about digital identity and reputation in business processes. Copyright © 2010 John Wiley & Sons, Ltd.
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Social Software for coordination of collaborative process activities
Business Process Management, 2010Co-Authors: Frank Dengler, Agnes Koschmider, Andreas Oberweis, Huayu ZhangAbstract:Recently, a trend toward collaborative, on-line business process modeling can be observed that is also emphasized by several initiatives. Social Software has the potential satisfying such a collaborative modeling. It provides tools to collaboratively exchange and share information resources among peers. Despite of the potential that Social Software has, it is insufficiently used as work resource (e.g., for help requests or partner search) due to a low integration of Social Software into the workflow management system. The aim of this paper is to exploit Wikis and Social networks for the coordination of collaborative process activities. Wikis are suggested in order to reduce the model design phase. A technique will be introduced that allows visualizing a process model from Wiki pages. The connection of process activities with Social networks supports browsing for suitable process collaborators. A coordination model will be introduced that governs the collaboration.
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Social Software for business process modeling
Journal of Information Technology, 2010Co-Authors: Agnes Koschmider, Minseok Song, Hajo A. ReijersAbstract:Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborative fashion, the building of the final, formal process model is done mostly by a single person. This article presents the design and implementation of a Recommendation-Based Process Modeling Support System with ‘Social features.’ A process builder using this system will receive recommendations to complete or edit a formal business process model on the basis of previous usage of modeling fragments by her peers. Such features potentially improve the modeling process and, as such, the modeling outcome, that is, the quality of the process model. This article also contains an evaluation of the system's usage and effectiveness, which builds on an experimental design. It is shown that process builders are inclined to follow up on the provided recommendations and that this will improve the semantical quality of the created model. However, information on peer usage of modeling fragments does not play a big role in selecting the recommendations being followed up. This article fits within a stream of research that puts emphasis on the modeling process, rather than on the model artifact.
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Social Software for modeling business processes
Business Process Management, 2008Co-Authors: Agnes Koschmider, Minseok Song, Hajo A. ReijersAbstract:The aim of this paper is to show how the use of Social networks may help users to behave as modelers they trust. Users are guided in this respect within the context of an existing Recommendation-Based Process Modeling Support System to which “Social” features are added. Two kinds of Social networks are used to this end: (1) a Social network from a process model repository and (2) a Social network from a recommendation history. The Social network from process models provides an organizational view of business processes. An example of the information that could be derived from such a network is the average distance between performers who belong to part of business process that is already modeled and the ones who belong to a candidate process. A user can apply this result to complete a process model in a way that is similar to earlier selected solutions. The Social network from recommendation history shows the relationship among modelers who use the recommendation system. From its usage history, Social networks can be generated that express the similarity between its nodes (users). Both approaches are presented as effective ways to exploit Social relationships in capturing business processes in conceptual models, one of the key activities in the BPM domain.
Fei-yue Wang - One of the best experts on this subject based on the ideXlab platform.
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toward a paradigm shift in Social computing the acp approach
IEEE Intelligent Systems, 2007Co-Authors: Fei-yue WangAbstract:In a sense, Social computing is a new research field with a long history. Its origins trace back to the beginning of modern computing and landmark work such as Vannevar Bush's Memex, Douglas Engelbart's vision for integrating psychology and organizational development with computer technology advances, and J.C.R. Licklider's emphasis on computers as communication devices, not computing machines. Over the past decades, Social Software from email to blogs, has fundamentally changed how to live, work and interact with each other.
