Working Together Apart? Building a Knowledge‐Sharing Culture for Global Virtual Teams

A new impetus for greater knowledge‐sharing among team members needs to be emphasized due to the emergence of a significant new form of working known as ‘global virtual teams’. As information and communication technologies permeate every aspect of organizational life and impact the way teams communicate, work and structure relationships, global virtual teams require innovative communication and learning capabilities for different team members to effectively work together across cultural, organizational and geographical boundaries. Whereas information technology‐facilitated communication processes rely on technologically advanced systems to succeed, the ability to create a knowledge‐sharing culture within a global virtual team rests on the existence (and maintenance) of intra‐team respect, mutual trust, reciprocity and positive individual and group relationships. Thus, some of the inherent questions we address in our paper are: (1) what are the cross‐cultural challenges faced by global virtual teams?; (2) how do organizations develop a knowledge sharing culture to promote effective organizational learning among culturally‐diverse team members? and; (3) what are some of the practices that can help maximize the performance of global virtual teams? We conclude by examining ways that global virtual teams can be more effectively managed in order to reach their potential in this new interconnected world and put forward suggestions for further research.     

Recommender systems for personal knowledge management in collaborative environments

Personal knowledge management (PKM) is different from the traditional centralized knowledge management (KM) modes. The PKM is suitable for distributed collaborative KM environments. This paper makes an explorative study on the PKM, and analyzes various forms of personal knowledge resources in the product development process. Then a model of recommender systems for PKM is proposed for knowledge sharing among members in the collaborative environment. The key function of the PKM recommender systems is to supply potentially useful personal knowledge resources from the sites where these knowledge resources are created to the sites where the members may need the knowledge. The PKM is in a mode of distributed control rather than a mode of centralized control, which is widely used by traditional KM methods and tools. This study paves a way for developing an advanced mode of KM platforms for PKM sharing in collaborative environments.     

Application of KM measures to the impact of a specialized groupware system on corporate productivity and operations

Here we describe an experiment to show the improvement in productivity resulting from use of a specialized groupware system, using quantitative data and observations of the knowledge management (KM) processes, styles, and critical success factors. Data describing the work process before and after the deployment of the system was applied to measure the impact on performance, operations, and knowledge sharing behavior. The attitude of the organization toward knowledge sharing and the deployed groupware system was then studied along several dimensions that represent KM styles, by assessing the KM orientation and motivation of the organization. Lessons learned were presented and used for directing the attention of management to the importance of supporting collaborative and KM technologies for corporate strategic competitiveness.     

Comparative study on the effects of groupware and conventional technologies on the efficiency of collaborative writing

In this paper the concept of efficiency in collaborative writing is considered in detail and a definition of efficiency is proposed. The definition of efficiency leads to the development of a research framework that delineates five operational measures of efficiency: (a) writing activities efficiency, (b) coordination efficiency, (c) quality of output, (d) absence of breakdowns, and (e) satisfaction with group performance. A comparative study is subsequently presented on the effects that groupware and conventional technologies have on the effciency of collaborative writing. The hypothesis is advanced that groupware can improve the efficiency of collaborative writing over conventional technologies. The results seem to support the hypothesis and indicate that (a) the groupware system examined in this study (MUCH system) offers efficiency benefits in terms of coordination, (b) MUCH users tend to face communication breakdowns while users of conventional technologies tend to face task-related breakdowns, (c) the documents produced with MUCH are of higher content quality, more coherent, and of higher rhetorical effectiveness than the documents produced with conventional technologies, and (d) the comparison of MUCH with conventional technologies shows no significant difference in terms of their effects on group performance satisfaction.     

Distributed recommender for peer-to-peer knowledge sharing

A novel model of distributed knowledge recommender system is proposed to facilitate knowledge sharing among collaborative team members. Different from traditional recommender systems in the client-server architecture, our model is oriented to the peer-to-peer (P2P) environment without the centralized control. Among the P2P network of collaborative team members, each peer is deployed with one distributed knowledge recommender, which can supply proper knowledge resources to peers who may need them. This paper investigates the key techniques for implementing the distributed knowledge recommender model. Moreover, a series of simulation-based experiments are conducted by using the data from a real-world collaborative team in an enterprise. The experimental results validate the efficiency of the proposed model. This research paves the way for developing platforms that can share and manage large-scale distributed knowledge resources. This study also provides a new framework for simulating and studying individual or organizational behaviors of knowledge sharing in a collaborative team.     

J2EE平台上基于Web Services的数据集成研究

数据集成是共享分布的异构数据资源的核心问题.在分析常用数据集成技术的基础上,结合Web Services技术和组件技术,提出了基于Web Services和组件技术实现Mediated系统的数据集成方案.最后,以J2EE为平台给出了一种面向服务的低偶合的数据集成框架,中介器和包装器由EJB组件实现,由组件部署的Web服务为用户提供一个透明的统一的接口,实现异地异构数据资源的共享和整合.     

Using a shared workspace and wireless laptops to improve collaborative project learning in an engineering design class

Two different technologies, groupware (a shared workspace) and shared wireless laptop computers, were implemented in a project design class in a civil engineering course. The research interest was in the way these technologies supported resource sharing within and across project groups and in the forms of group collaboration that resulted. The initiative was evaluated using both qualitative (e.g. pyramid discussion) and quantitative methods (e.g. survey, logs of usage). The results showed that these technologies helped improve group sharing of resources and supported different kinds of group collaboration. The shared workspace provided a location-independent central repository of resources around which group activities were coordinated whereas the laptops provided a focal point for the face-to-face discussion of these resources. The paper discusses the importance of embedding supportive technologies and the different forms of learner collaboration mediated by each technology.     

Collaborative Problem Solving and Groupware for Software Development

When a group is working together toward a common goal, communication and collaboration are key. This is especially true in software development where a project of any significance involves groups of people. Collaborative problem-solving techniques and groupware technology can be a boon to software development because they enhance communication and cooperation. This article examines how software development is affected by collaborative problem solving and decision making, groupware theory and tools, and group cognition and psychology. It also analyzes collaboration tools and their correlation to problem solving and group characteristics.     

供应链协同创新中知识转移的收益共享机制

研究由一个供应商和一个制造商组成的二级供应链协同创新中的知识转移问题,分析了分散决策、集中决策、普通收益共享决策和议价条件下的收益共享决策时四种情形对供应链协同创新中知识转移决策的影响,比较了四种决策情况下的相关变量的大小和在不同知识吸收能力下的变化规律。结果发现：收益共享契约机制可显著提高供应链协同创新中的知识转移数量,有利于提高供应链的整体利润,还有助于降低产品零售价格、批发价格等,并且议价条件下的收益共享契约机制比普通的收益共享契约机制效果更为明显。研究表明收益共享契约机制能够有效地促进供应链企业间的协同创新,同时供应链企业间的知识吸收能力也会影响到供应链协同创新的效率。     

Semantic Web based innovative design knowledge modeling for collaborative design

This paper describes a study about how to use the Semantic Web technologies for innovative design knowledge modeling in a multi-agent distributed design environment. Semantic Web based knowledge modeling for innovative design is proposed as prelude to the meaningful agent communication and knowledge reuse for collaborative work among multidisciplinary organizations. A model for innovative design is proposed at first, based on which a knowledge schema is brought forward. For sharing the design knowledge among an internet-based or distributed work team, even globally, A RDF-based knowledge model is presented to realize its representation on Semantic Web. A Semantic Web based repository for innovative design and its API for topper Semantic Web applications have been also constructed. The proposed knowledge modeling extends traditional product modeling with capabilities of innovative design, knowledge sharing and distributed problem solving, and is employed as a content language within the messages in the proposed multi-agent system architecture. The proposed approach is viewed as a promising knowledge management method that facilitates the implementation of computer supported cooperative work in innovative design of Semantic Web applications.     

The interactive use of a video database in teacher education: Creating a knowledge base for teaching through a learning community

This study explores how pre-service student teachers acquired knowledge of good teaching practices through the interactive use of a video database and an online discussion forum, where the student teachers shared their teaching videos and received comments or suggestions from members of a learning community. A small group of student teachers was involved in this collaborative learning community during their teaching practicum in their third and fourth years of study. Content analysis of the sharing in the discussion forum and individual student teacher reflections provides insight into the use of a collaborative learning community to create a knowledge base for teaching. Suggestions regarding how this new technology can support teacher education are discussed.     

Development of a mechanism for ontology-based product lifecycle knowledge integration

Compared with relying on the efforts of various enterprises collaborating on product lifecycle activities, such as coordination, communication and control, the ability to effectively share product information and knowledge is more important. Therefore, how to best integrate such heterogeneous product knowledge distributed among various cooperating enterprises has become an extremely important knowledge management subjects associated with collaborative product lifecycle.This study develops a novel mechanism for integrating ontology-based product lifecycle knowledge to effectively integrate the heterogeneous product knowledge distributed among different enterprises during a product’s lifecycle, thereby facilitating sharing of this product knowledge. This study: (i) designed an integration and sharing process for collaborative product lifecycle knowledge, (ii) developed techniques associated with integration of ontology-based product lifecycle knowledge, and (iii) implemented an integration and sharing mechanism for ontology-based product lifecycle knowledge. In developing techniques associated with integration of ontology-based product lifecycle knowledge, which involves establishing a product lifecycle ontology, designing local ontology schema, designing an integration algorithm for ontology-based product lifecycle knowledge, and designing a searching method for ontology-based product lifecycle knowledge.     

Identifying knowledge agents in a KM strategy: the use of the structural influence index

Knowledge transfer is a complex KM activity that integrates communication technologies with challenging social, cultural, and organizational issues. It is critical to effective KM systems (KMS) and the development of effective transfer strategies enhances competitive advantage. This study incorporated the theory of organizational influence to demonstrate the structural influence index within a network KMS. Using the research process in the pharmaceutical industry as a basis for knowledge transfer events, this study demonstrated the benefits of structural indexing, which identifies knowledge agents, evaluates knowledge sharing among organizational members, and objectively assesses the contribution of knowledge agents. Subgrouping knowledge agents gave insight into knowledge sharing among members and provided a basis for the coordination of knowledge resources in new and unique ways.     

Integration of collaboration and interaction analysis mechanisms in a concern-based architecture for groupware systems

Collaboration and interaction analysis allows for the characterization and study of the collaborative work performed by the users of a groupware system. The results of the analyzed processes allow problems in users’ collaborative work and shortcomings in the functionalities of the groupware system to be identified. Therefore, automating collaboration and interaction analysis enables users’ work to be assessed and groupware system support and behavior to be improved. This article proposes a concern-based architecture to be used by groupware developers as a guide to the integration of analysis subsystems into groupware systems. This architecture was followed to design the COLLECE groupware system, which supports collaborative programming practices and integrates an analysis subsystem that assesses different aspects of the work carried out by the programmers and adapts the functionality of the system under specific conditions.     

基于本体的多主体网络协作学习模型研究

协作学习是一种组学习方式,强调的是组成员之间的交流与合作,因此成员间的信息理解对协作的效率影响很大,本体论是概念化的明确表示和描述,因此本体可对学习资源进行语义标注.采用本体提供交流资源的统一语义描述,使学习者在语义基础上进行交流和查询,本体的引入保证了网络协作学习中知识理解和运用的一致性、精确性、不变性、可重用性和共享性.设计了基于本体的多主体网络协作学习模型,该模型不仅具有语义互操作性而且能有效支持知识的重用和共享,从而提高协作学习效率.     

Using shared representations to improve coordination and intent inference

In groupware, users must communicate about their intentions and aintain common knowledge via communication channels that are explicitly designed into the system. Depending upon the task, generic communication tools like chat or a shared whiteboard may not be sufficient to support effective coordination. We have previously reported on a methodology that helps the designer develop task specific communication tools, called coordinating representations, for groupware systems. Coordinating representations lend structure and persistence to coordinating information. We have shown that coordinating representations are readily adopted by a user population, reduce coordination errors, and improve performance in a domain task. As we show in this article, coordinating representations present a unique opportunity to acquire user information in collaborative, user-adapted systems. Because coordinating representations support the exchange of coordinating information, they offer a window onto task and coordination-specific knowledge that is shared by users. Because they add structure to communication, the information that passes through them can be easily exploited by adaptive technology. This approach provides a simple technique for acquiring user knowledge in collaborative, user-adapted systems. We document our application of this approach to an existing groupware system. Several empirical results are provided. First, we show how information that is made available by a coordinating representation can be used to infer user intentions. We also show how this information can be used to mine free text chat for intent information, and show that this information further enhances intent inference. Empirical data shows that an automatic plan generation component, which is driven by information from a coordinating representation, reduces coordination errors and cognitive effort for its users. Finally, our methodology is summarized, and we present a framework for comparing our approach to other strategies for user knowledge acquisition in adaptive systems.     

Trust and knowledge sharing in diverse global virtual teams

Global virtual teams (GVTs) allow organizations to improve productivity, procure global knowledge, and transfer best practice information instantaneously among team members. GVTs rely heavily on IT and have little face-to-face interaction, thereby increasing problems resulting from geographic barriers, time language, and cultural differences, and inter-personal relationships. The purpose of our study was to design a normative framework that would assist organizations in understanding the relationship between diversity, mutual trust, and knowledge sharing among GVTs, with additional focus on understanding the moderating impact of collaborative technology and task characteristics. Empirical data was collected from 58 GVTs and analyzed using a Hierarchical Multiple Regression technique. Results showed that in GVTs, deep level diversity has a more significant relationship with team processes of mutual trust and knowledge sharing than visible functional level diversity. This relationship is moderated by the collaborative capabilities of available technology and levels of interdependence of the task. Furthermore, knowledge sharing and mutual trust mediate the relationship between diversity levels and team effectiveness.     

Users’ attitudes toward Web-based collaborative learning systems for knowledge management

The Web-based technology is a potential tool for supported collaborative learning that may enrich learning performance, such as individual knowledge construction or group knowledge sharing. Thus, understanding Web-based collaborative learning for knowledge management is a critical issue. The present study is to investigate learners’ attitudes toward Web-based collaborative learning systems. Based on this research, the results of factor analysis show that five attitude factors (system functions, system satisfaction, collaborative activities, learners’ characteristics, and system acceptance) should be examined at the same time when building a Web-based collaborative learning system. The results also provide an acceptance model for understanding users’ behavioral intention of facilitating Web-based collaborative systems.     

High level MANET protocol: Enhancing the communication support for mobile collaborative work

Mobile collaborative activities involve on-demand interactions among nomad users. Unavailability of communication support in the physical scenario where users are located cannot be a limitation to carry out such collaboration instances. Mobile workers can take advantage of the communication capability embedded in their mobile devices in order to create communication channels between them. The Mobile Ad-hoc Networks (MANET) are infrastructures that can be used to support the nomad users' activities. However, these networks have a short communication threshold; therefore, they need to include a routing protocol as part of its infrastructure to allow mobile workers to collaborate when they are not physically close. This paper presents an application level routing protocol that was designed to support nomad workers performing mobile collaborative activities. The protocol, named High Level MANET Protocol (HLMP), provides several automatic services that are required by mobile collaborative systems. Some of these services are the automatic MANET formation, peer detection and messages routing. HLMP has been implemented in a mobile communication infrastructure and used in several mobile groupware systems.