Of Embodied Action and Sensors: Knowledge and Expertise Sharing in Industrial Set-Up

Knowledge and expertise sharing has long been an important theme in CSCW and, importantly, one that has frequently challenged a prevailing view concerning knowledge management. This critique focused, initially, on the practical problems associated with issues of Organisational Memory (OM), and in particular the difficulties inherent in an oversimplified ‘repository’ model. Attention then turned to issues of contextuality and communication for expertise sharing, drawing on concepts such as communities of practice and social capital to understand, again, the sharing of knowledge and expertise in practice. Here, we report on how particular kinds of ‘embodied action’ can be identified in relation to the potential of cyber-physical infrastructures for knowledge sharing in an industrial context. We argue that, in a complex industrial domain, both the recording of physical movement – ‘showing’ – and the representation of local knowledge – ‘telling’ – are potentially relevant. Our proposal is that the evolution of cyber-physical infrastructures now offers a way of changing some early assumptions about how knowledge might be captured and displayed. We argue that we are entering a third generation of knowledge and expertise sharing research, where the use of augmented reality (AR) and sensor technology will result in significant new methodological innovations, including the capture and sharing of knowledge, embedded in embodied action.     

Using peer-to-peer technology for knowledge sharing in communities of practices

Communities of Practices (CoPs) are informal structures within organizations that bind people together through informal relationships and the sharing of expertise and experience. As such, they are effective tools for the creation and sharing of organizational knowledge, and an increasing number of organizations are adopting them as part of their knowledge management strategies. In this paper, we examine the knowledge sharing characteristics and roles of CoPs and develop a peer-to-peer knowledge sharing architecture that matches the behavioral characteristics of the members of the CoPs. We also propose a peer-to-peer knowledge sharing tool called KTella that enables a community's members to voluntarily share and retrieve knowledge more effectively.     

How Team Identification and Expertise Identification Affect R&D Employees' Creativity

The relationship between team identification and expertise identification in the R&D context and the mechanism by which these variables influence R&D creativity is not yet clear. We present and empirically test a theoretical framework proposing that knowledge sharing mediates the relationship between identification and creativity in R&D teams. Based on 120 paired‐sample survey data of 30 R&D teams, we show that knowledge sharing mediates the relationship between team identification (but not expertise identification) and R&D team members' creativity. Contributions to the literature and the practice of innovation and R&D management, knowledge and creativity management, and team management are discussed.     

Developing strategies for overcoming barriers to knowledge sharing based on conversational knowledge management: A case study of a financial company

Knowledge management involves the systematic management of vital knowledge resources and the associated processes of creating, gathering, organizing, diffusion, utilizing and exploiting information. A key challenge emerging for organizations is how to encourage knowledge sharing within an organization because knowledge is an organization’s intellectual capital and is of increasing importance in gaining a competitive business advantage. Isolated initiatives for promoting knowledge sharing and team collaboration without taking into consideration the limitations and constraints of knowledge sharing can halt any further development in the KM culture of an operation. This article investigates knowledge sharing bottlenecks and proposes the use of conversational knowledge sharing as an effective instrument for knowledge sharing. And to develop strategies, this paper determines the causes and effects of knowledge barriers and proposes solutions by using HOQ. The article introduces a financial company case study as a best practice example of conversational knowledge sharing. Then, the paper analyzes the case study to provide evidence for the feasibility and effectiveness of the proposed approach.     

Exploring factors that influence knowledge sharing behavior via weblogs

Knowledge sharing is seen as one of the essential processes for knowledge management. A growing number of professionals have started weblogging, and use this tool to share their ideas. It is important to explore ways to encourage individuals to contribute personal knowledge and to assist community members to share their expertise. Through the lens of sharing culture, we explore the factors that facilitate voluntary knowledge sharing in a virtual community. Specifically, the use of three categories associated with a sharing culture – fairness, identification and openness – is considered as a linear combination, which means that enjoying helping and usefulness/relevancy thereafter promote knowledge sharing behavior. To test the theoretical model, we survey 442 members of three online communities. In addition to the positive effects of fairness and openness on community sharing culture, we also find that enjoying helping, sharing culture and usefulness/relevancy are strongly linked to member knowledge sharing behavior. This paper offers a new perspective on the mechanisms related to the sharing culture construct, which in turn facilitates weblog knowledge sharing behaviors and yields important implications for understanding knowledge sharing behavior in online communities.     

Expert Recommender: Designing for a Network Organization

Recent knowledge management initiatives focus on expertise sharing within formal organizational units and informal communities of practice. Expert recommender systems seem to be a promising tool in support of these initiatives. This paper presents experiences in designing an expert recommender system for a knowledge-intensive organization, namely the National Industry Association (NIA). Field study results provide a set of specific design requirements. Based on these requirements, we have designed an expert recommender system which is integrated into the specific software infrastructure of the organizational setting. The organizational setting is, as we will show, specific for historical, political, and economic reasons. These particularities influence the employees’ organizational and (inter-)personal needs within this setting. The paper connects empirical findings of a long-term case study with design experiences of an expertise recommender system.     

Knowledge sharing—A key role in the downstream supply chain

We explore the role of knowledge sharing within a downstream two-echelon supply chain. Drawing on chaos theory and the literature on knowledge management, we contrasted the information and knowledge sharing contexts. More specifically, we have provided a real-world case study of knowledge management practice at a U.S. Fortune 40 firm. We reviewed the major issues in this firm's downstream supply chain operations and have described its knowledge management initiative. Finally, we discuss the implications of knowledge management on managerial practice.     

Knowledge Sharing on Enterprise Social Media: Practices to Cope With Institutional Complexity

This study examines the use of enterprise social media (ESM) for organizational knowledge sharing and shows that professionals face ambiguities because their knowledge sharing behavior is informed by an institutional complexity that consists of 2 dissimilar institutional logics: logics of the profession, and logics of the corporation. Our qualitative case study of an ESM at an IT consultancy organization shows that professionals find ways to manage the ambiguities they experience by engaging the affordances of ESM in such a way as to develop coping practices: connection management, reputation management, and information management. By complementing the affordance perspective with an institutional logics perspective, we are able to advance scholarly understanding on how ESM can facilitate but also frustrate knowledge sharing.     

Issues in knowledge access,retrieval and sharing – Case studies in a Caribbean health sector

In knowledge sharing forums different actors access each others knowledge to assist in their own decision making process. However, in absence of a formal knowledge management system this knowledge may not be available for use/reuse. In this research, we explore different scenarios in the healthcare sector to identify the factors which either facilitate or impede the knowledge flows while sharing knowledge. Furthermore, based on the analysis of the scenarios we theorize about use and reuse of knowledge items and the issues in accessing and retrieving them in knowledge sharing events. The barriers and enablers in different case studies are identified which can be applicable to any knowledge sharing event where its actors are working towards a common objective. We examine the patterns of accessibility of a knowledge item in knowledge sharing events and its effect on perceived usability, and perceived usefulness and relevance of a knowledge item.     

Factors Supporting Knowledge Integration in Global Innovation Projects: An Exploratory Study

This exploratory study identifies the factors which contribute to effective knowledge integration in global innovation projects through an in‐depth analysis of two case studies. Knowledge integration is analysed in two components: knowledge (individual expertise), and integration (working together). Our analysis highlights three distinct ways that individuals think about individual expertise: individual knowledge and competence; feeling valued; and unfamiliar areas. We also identify four ways in which individuals think about working together: good social relations; cultural distance; negotiation skills; and better results through working with others. Using examples from the case studies, we discuss how these factors enable knowledge integration in globally distributed innovation projects. We also propose a model indicating how these factors impact on knowledge integration and innovation performance. This study contributes towards management guidance, which is currently lacking in the area of knowledge integration.     

Managing knowledge sharing: Emergent and engineering approaches

We wished to determine how the process of knowledge sharing could be managed, seeing that it is a knowledge management dilemma. If knowledge sharing is crucial to an organization’s interests, but is inherently emergent in nature, how can the organization still manage the process? In order to answer this question, a distinction was made between two approaches towards managing knowledge sharing: an emergent approach, focusing on the social dynamics between organizational members and the nature of their daily tasks, and an engineering approach, focusing on management interventions to facilitate knowledge transfer. While the first is central to today’s thinking about knowledge, we used a field study in six organizations to show that both approaches have value in explaining knowledge sharing. Instruments that are part of the engineering approach create conditions for variables in the emergent approach, which in turn also exert a direct influence on knowledge sharing.     

Information and Expertise Sharing in Inter-Organizational Crisis Management

Emergency or crisis management, as is well-attested, is a complex management problem. A variety of agencies need to collaborate and coordinate in real-time and with an urgency that is not always present in other domains. It follows that accurate information of varying kinds (e.g. geographical and weather conditions; available skills and expertises; state-of-play; current dispositions and deployments) needs to be made available in a timely fashion to the organizations and individuals who need it. By definition, this information will come from a number of sources both within and across organizations. Large-scale events in particular necessitate collaboration with other organizations. Of course, plans and processes exist to deal with such events but the number of dynamically changing factors as well as the high number of heterogeneous organizations and the high degree of interdependency involved make it impossible to plan for all contingencies. A degree of ongoing improvisation, which typically occurs by means of a variety of information and expertise sharing practices, therefore becomes necessary. This, however, faces many challenges, such as different organizational cultures, distinct individual and coordinative work practices and discrete information systems. Our work entails an examination of the practices of information and expertise sharing, and the obstacles to it, in inter-organizational crisis management. We conceive of this as a design case study, such that we examine a problem area and its scope; conduct detailed enquiries into practice in that area, and provide design recommendations for implementation and evaluation. First, we will present the results of an empirical study of collaboration practices between organizations and public authorities with security responsibilities such as the police, fire departments, public administration and electricity network operators, mainly in scenarios of medium to large power outages in Germany. Based on these results, we will describe a concept, which was designed, implemented and evaluated as a system prototype, in two iterations. While the first iteration focuses on situation assessment, the second iteration also includes inter-organizational collaboration functionalities. Based on the findings of our evaluations with practitioners, we will discuss how to support collaboration with a particular focus on information and expertise sharing.     

Learning from multiple annotators with varying expertise

Learning from multiple annotators or knowledge sources has become an important problem in machine learning and data mining. This is in part due to the ease with which data can now be shared/collected among entities sharing a common goal, task, or data source; and additionally the need to aggregate and make inferences about the collected information. This paper focuses on the development of probabilistic approaches for statistical learning in this setting. It specially considers the case when annotators may be unreliable, but also when their expertise vary depending on the data they observe. That is, annotators may have better knowledge about different parts of the input space and therefore be inconsistently accurate across the task domain. The models developed address both the supervised and the semi-supervised settings and produce classification and annotator models that allow us to provide estimates of the true labels and annotator expertise when no ground-truth is available. In addition, we provide an analysis of the proposed models, tasks, and related practical problems under various scenarios. In particular, we address how to evaluate annotators and how to consider cases where some ground-truth may be available. We show experimentally that annotator expertise can indeed vary in real tasks and that the presented approaches provide clear advantages over previously introduced multi-annotator methods, which only consider input-independent annotator characteristics, and over alternative approaches that do not model multiple annotators.     

Information technology to support informal knowledge sharing

The knowledge management (KM) literature largely focuses on the explicit and formal representation of knowledge in computer‐based KM systems. Informal KM practices are widespread, but less is known about them. This paper aims to redress this imbalance by exploring the use of interactive information technology (IT) applications for informal knowledge sharing (KS). We develop theoretical propositions to highlight the key facets of informal KS processes, and illustrate them through an interpretive case‐study analysis of KS in two public relations firms in China. We then discuss the implications of our findings for practice in both China and beyond. Finally, we recommend a research agenda to further investigate informal, relationship‐based knowledge sharing.     

Knowledge boundaries in enterprise software platform development: Antecedents and consequences for platform governance

The widespread uptake of platform strategies turns many vendors of enterprise software into curators of an ecosystem of firms that collaboratively develop and commercialize a shared technology. As a platform owner's effectiveness in integrating knowledge across ecosystem participants will distinguish it from its competitors, we investigate the management of development‐related knowledge across firm boundaries. Our exploratory, multiple‐case study of 4 platforms illustrates how “knowledge boundaries” emerge between platform owners and complementors. We observe that knowledge boundaries are influenced by a platform's functional extent, interface design, and evolutionary dynamics, which create differences, dependencies, and novelty of development knowledge, resulting in qualitatively distinct types of knowledge boundaries. To overcome knowledge boundaries, platform owners provide various resources at the boundary, including information portals, documentation, helpdesks, and alignment workshops. We observe that in shaping these resources, platform owners face a trade‐off between providing knowledge at the right scope, while allowing for the scalability of knowledge resources for the entire ecosystem. Depending on their scope and scale, we classify knowledge boundary resources as broadcasting, brokering, and bridging, each representing qualitatively distinct patterns in managing knowledge in platform ecosystems. We conclude with implications for researchers and managers.     

Intelligent lessons learned systems

Lessons learned processes have been deployed in commercial, government, and military organizations since the late 1980s to capture, store, disseminate, and share experiential working knowledge. However, recent studies have shown that software systems for supporting lesson dissemination do not effectively promote knowledge sharing. We found that the problems with these systems are related to their textual representation for lessons and that they are not incorporated into the processes they are intended to support. In this article, we survey lessons learned processes and systems, detail their capabilities and limitations, examine lessons learned system design issues, and identify how artificial intelligence technologies can contribute to knowledge management solutions for these systems.     

Exploring knowledge contribution from an OCB perspective

As participation in virtual community becomes popular, it is important to know how to encourage individuals to contribute actively and assist other members share their expertise. Through the lens of organizational citizenship behavior (OCB), we explored the factors that facilitate voluntary knowledge sharing in a virtual community. We examined OCB in online gaming communities in which various behaviors can contribute to the community (the team) or to individuals (team members). Our aim was to gain insight into ways of creating an environment that facilitated voluntary sharing of knowledge. Our findings suggested that effective leader–member exchange relationships, the attractiveness of the group to individuals, and affection similarity were important in establishing a virtual environment within which voluntary contributions could be promoted effectively. In addition, our study suggested that better quality leader–member exchange relationships and positive affection toward the virtual team enhanced OCB.