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The advancement of human knowledge is the result of evolution of human capabilities for absorbing, developing and processing human intelligence, and perhaps just as equally, on the human capability to develop symbols and artifacts for assisting in the creation, diffusion and sharing of knowledge. These artifacts not only have evolved in their sophistication and ability to help human knowledge enterprise, but also they have become embedded in the knowledge networks and the global knowledge enterprises. The universal knowledge architecture today can be best represented as a set of interconnected networks linking the neural networks of our brain with our organizational, institutional, professional and societal networks, and the networks of knowledge artifacts. Within this context the knowledge enterprise is viewed as a sustaining quest for sense making through the human to human process for scaffolding of knowledge where the knowledge artifacts play quintessential and inseparable roles. The effectiveness of our efforts in developing and implementing the knowledge artifacts or management tools depends to a large extent on our ability to refocus the design context of these tools as artifacts, from an information centric paradigm to one of knowledge within the context of a sense‐making paradigm.

This paper assesses the role of collaborative knowledge building in the co-creation of artifacts in the knowledge management field.

Fifty-eight papers published in six knowledge management-related journals were analyzed. The framework for analysis included 13 codes. Studies were analyzed using qualitative and quantitative methods.

Findings showed that several factors influenced the co-creation of artifacts in collaborative knowledge building. At the micro level, individual motivation, capabilities and reflexivity seemed to play a central role in co-creation processes. At the meso level, teamwork and shared understanding were identified as two key major factors. At the macro level, structural, behavioral and cognitive factors were identified; they included organizational rules and workplace setting, organizational culture and learning and memory. Managerial agency, characteristics of artifacts and knowledge brokers and boundary spanners also seemed to have an influence at the inter-organizational levels of analysis.

This study has limitations related to scope of contribution, covered time span (17 years) and restrictions in journal subscriptions.

The study will help managers understand the intricacies of collaborative knowledge building practices to increase organizational overall effectiveness and performance.

This study is a first attempt to systematically assess the role of collaborative knowledge building in the co-creation of artifacts, and therefore, it represents a primary reference in the knowledge management field. It proposes some initial propositions that can guide future empirical studies.

The purpose of this paper is to assess the role of artifacts in the knowledge management field in the past 18 years (1997-2015) and to identify directions for future research.

The authors conducted a systematic literature review of 101 articles published in seven journals retrieved from EBSCO and Google Scholar online research databases. The framework for analysis included 13 codes, i.e. author(s), title, year of publication, typology, theoretical lens, categorizations, methods for empirical work, relevancy, level of analysis, keywords, findings, research themes and future research directions. Codes were analyzed using qualitative and quantitative methods.

The findings lacked cumulativeness and consistency in the current knowledge management debate. Empirical works outnumbered conceptual contributions by two to one, and the majority of papers focused at the organizational level of analysis. Knowledge management systems, knowledge sharing and digital archives were the major research themes connected to artifacts, together with other closely aligned concepts such as learning and online learning, knowledge transfer and knowledge creation.

This study has temporal and contextual limitations related to covered time span (18 years) and journals’ subscription restrictions.

This paper is a first attempt to systematically review the role of artifacts in knowledge management research and therefore it represents a primary reference in the knowledge management field. It provides directions to future theoretical and empirical studies and suggestions to managerial practices.

The knowledge of artefact design in design science research can have an important application in the improvement of decision support systems (DSS) development research. Recent DSS literature has identified a significant need to develop user-centric DSS method for greater relevance with respect to context of use. The purpose of this paper is to develop a collective DSS design artefact as method in a practical industry context.

Under the influence of goal-directed interaction design principles the study outlines the innovative DSS artefact based on design science methodology to deliver a cutting-edge decision support solution, which provides user-centric provisions through the use of design environment and ontology techniques.

The DSS artefact as collective information technology applications through the application of design science knowledge can effectively be designed to meet decision makers’ contextual needs in an agricultural industry context.

The study has limitations in that it was developed in a case study context and remains to be fully tested in a real business context. It is also assumed that the domain decisions can be parameterised and represented using a constraint programming language.

The paper concludes that the DSS artefact design and this development successfully overcomes some of the limitations of traditional DSS such as low-user uptake, system obsolescence, low returns on investment and a requirement for continual re-engineering effort.

The design artefact has the potential of increasing user uptake in an industry that has had relevancy problems with past DSS implementation and has experienced associated poor uptake.

The design science paradigm provides structural guidance throughout the defined process, helping ensure fidelity both to best industry knowledge and to changing user contexts.

The purpose of this study is to investigate how organizational knowledge interacts with artifacts and what determinants, driving processes and outcomes govern these interactions in organizational contexts.

A case study is used and data collected is from a US engineering and consulting company.

Findings suggested three major driving processes specifically initiating, challenging and improving and several related determinants and outcomes that governed the interaction between organizational knowledge and artifacts over time.

This study has limitations related to the nature and dimension of the case selected.

This study provides a means to explain how organizations hold existing knowledge and what determinants, driving processes and outcomes govern the interactions between knowledge and artifacts to assist managerial practices and improve performance.

This paper contributes to the current debate on organizational knowledge and provides some empirical evidence of how knowledge interacts with artifacts in organizational contexts.

The purpose of this paper is to present a framework for cultivating virtual communities of practice in distributed environments. The framework is based on the integration of knowledge artifacts and wearable technologies.

The proposed knowledge artifact is based on the correlation between conceptual and computational tools for the representation of different kinds of knowledge.

In this way, it is possible to make deeper the collaboration between knowledge seekers and contributors within the community, given that seekers and contributors share, at least in part, design choices at the knowledge modeling level.

A practical application of the framework has been described, to show its originality with respect to traditional knowledge management systems. In particular, it has been demonstrated how lurking phenomenon inside communities of practice can be significantly reduced. To this aim, opportune indexes have been defined from existing ones in literature.

The purpose of this paper is to investigate the current glocal (global and local) environment to answer the following research questions: How does the glocal environment influence software exporting industries in India? How is the evolving “sticky” knowledge from individuals and teams assimilated into organizational knowledge repositories? What management practices have been learnt and applied for advancement of knowledge portfolios in the offshore software business market?

An interpretivist research design is used to gain insights into organizational learning processes adopted by offshore software vendors for assimilating evolving knowledge into knowledge repositories.

This paper describes the influence of the current glocal environment on software exporting industries in India and presents a model for organizational learning to assimilate knowledge and build effective representations of emerging knowledge artifacts. The authors employ the concept of meta‐learning (or “learning about learning”) to analyze the recursive nature of organizational learning processes.

The proposed model of meta‐learning explains how software organizations build on individual and team competencies to build core competencies. The model helps us to understand how organizations advance their learning processes and upgrade their knowledge repositories.

The paper offers new perspectives on how organizations reflexively monitor their knowledge processes to advance their knowledge portfolios. It identifies adhocratic and bureaucratic management processes for assimilating the evolving “sticky” knowledge from individuals into organizational knowledge repositories. This paper contributes to the growing body of literature that emphasizes ongoing learning from individual to collective level in the knowledge industry sector.

The purpose of this study is to offer implications and future research directions related to new organizational forms like crowds. Organizations are increasingly relying on online crowds to innovate through mechanisms such as crowdsourcing, open innovation, innovation challenges and tournaments. To leverage the "wisdom of crowds", crowdsourcing platforms that enable heterogeneous knowledge sharing in crowds lead to novel solution generation by individuals in the crowd. Based on the associative variety memory model of creativity, the authors hypothesize that when a crowd contributes a heterogeneous knowledge in form of a variety of knowledge associations, individual crowd members tend to generate solutions that are more novel. In contrast to the brainstorming view that focuses on ideas as knowledge, the authors propose, test, find and elaborate on implications of crowd sharing of heterogeneous knowledge for the generation of innovation, i.e. novel ideas. The authors coded and analyzed all the posts in 20 innovation challenges leveraging online temporary crowds that were structured to foster knowledge sharing as part of the idea generation process. The analysis shows a positive relationship between the variety of knowledge associations contributed by the crowd and the generation of novel solutions by individuals in the crowd. Further, the variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared. The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors coded and analyzed all the posts in 20 innovation challenges. They also designed and ran these challenges in collaboration with corporate sponsors. The ideas in the challenge were rated by senior executive at each company using a creative forecasting method.

The variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared.

The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors propose several ways in which companies running innovation challenges can moderate and encourage crowd to generate a variety of knowledge.

The authors believe that we are the first empirical paper to emphasize and show that associative variety of knowledge sharing in crowds has impact on novel idea generation by crowds. This view is counter to "electronic brainstorming" view where crowd is asked to just generate these ideas and often just submit their ideas to the sponsor. Their view also goes beyond knowledge refinement of ideas by crowds to more of knowledge integration by crowds.

Metadiscourse is an important dialogue technique used in productive knowledge building to help a group evaluate and advance their knowledge progress. Previous studies have identified and defined various types of metadiscourse. However, there is scant knowledge about how different metadiscourse types emerge among different groups or what implicit correlations lie between progressive discourse and metadiscourse. Moreover, research on how different types of metadiscourse influence groups' knowledge advancement and artifacts is still inadequate. Therefore, this study aims to further examine the roles that different types of metadiscourse play in the collaborative knowledge building community on both a fine-grained (i.e. progressive discourse) and coarse-grained (i.e. group knowledge advancement and group artifacts) level.

Data for this study are drawn from the behaviour of undergraduate students participating in a 12-week course at a key university in China. On the fine-grained level, epistemic network analysis (ENA) is applied to illustrate how metadiscourse promotes the development of progressive discourse. On the coarse-grained level, two different chi-square tests are conducted to examine the roles of different types of metadiscourse in groups' knowledge advancement and artifacts.

The analysis allowed several conclusions to be drawn. First, the types of metadiscourse that students most often adopted were reflecting on ideas development (RD) and commenting on ideas (CI); they less frequently adopted setting group goals (SG) and making group plans (MP). Second, most types of metadiscourse correlated with developments in progressive discourse, particularly RD and CI. Third, the metadiscourse types RD, CI and coordinating group efforts (CE) played essential roles in knowledge advancement. Fourth, higher-quality artifacts could be created by using the metadiscourse type reviewing the state of knowledge building progress (RP).

A more profound comprehension of the role that metadiscourse plays in the collaborative knowledge building community not only contributes to the literature in the knowledge building field but also carries a significant meaning in regulating community, promoting learner agency and sustained knowledge, and consequently improving collaborative learning performance.

To explore the value and the case for designing antifragile socio-technical information systems (IS) in an era of big data, moving beyond traditional notions of IS design towards systems that can leverage uncertainty for gains.

A design science research (DSR) approach was adopted, comprising four stages, including problem identification and solutions definition, conceptual artifact or socio-technical system design, preliminary evaluation, and communication and knowledge capture.

A conceptual socio-technical artifact that identifies antecedents to antifragile IS design. When operationalised, the antecedents may produce the desired antifragile outcome. The antecedents are categorised as value propositions, design decisions and system capabilities.

This research is conceptual in nature, applied and evaluated in a single big data analytics case study in Facebook-Cambridge Analytica. Future research should empirically validate across a range of real-world big data contexts, beyond the presented case study.

Uncertainty generally results in socio-technical system failures, impacting individuals, organisations and communities. Conversely, antifragile IS can respond favourably to the shocks and stressors brought forth by periods of elevated uncertainty.

Antifragile IS can drive socio-technical systems to respond favourably to uncertainty and stressors. Typically, these socio-technical systems are large, complex structures, with increased connectivity and the requirement to generate, process, analyse and use large datasets. When these systems fail, it affects individuals, organisations and communities.

Existing IS design methodologies and frameworks largely ignore antifragility as a possible designable outcome. Extant research is limited to abstract architectural design, and approaches based on the proposition of principles. This research contributes to knowledge of antifragile IS design, by deriving a conceptual artifact or socio-technical system based on antecedent-outcome relationships that leverage uncertainty towards performance gains.