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This chapter offers a re-description of knowledge organization in light of genre and activity theory. Knowledge organization needs a new description in order to account for those activities and practices constituting and causing concrete knowledge organization activity. Genre and activity theory is put forward as a framework for situating such a re-description.

By means of genre and activity theory, the chapters argues that understanding the genre and activity systems, in which every form of knowledge organization is embedded, makes us capable of seeing how knowledge organization, as a genre, both can be a tool and an object in genred human activities.

In contrast to much research into knowledge organization, this chapter does not emphasize techniques, standards, or rules to be the sole object of study. Instead, an emphasis is put on the genre and activity systems informing and shaping concrete forms of knowledge organization activity. With this, we are able to understand how knowledge organization activity also contributes to construct genre and activity systems and not only aid them.

Significant advances in digital technologies impact both organisations and knowledge workers alike. Organisations are now able to effectively analyse significant amounts of data, while accomplishing actionable insight and data-driven decision-making through knowledge workers that understand and manage greater complexity. For decision-makers to be in a position where sufficient information and data-driven insights enable them to make informed decisions, they need to better understand fundamental constructs that lead to the understanding of deep knowledge and wisdom. In an attempt to guide organisations in such a process of understanding, this research study focuses on the design of an organisational transformation framework for data-driven decision-making (OTxDD) based on the collaboration of human and machine for knowledge work. The OTxDD framework was designed through a design science research approach and consists of 4 major enablers (data analytics, data management, data platform, data-driven organisation ethos) and 12 sub-enablers. The OTxDD framework was evaluated in a real-world scenario, where after, based on the evaluation feedback, the OTxDD framework was improved and an organisational measurement tool developed. By considering such an OTxDD framework and measurement tool, organisations will be able to create a clear transformation path to data-driven decision-making, while applying the insight from both knowledge workers and intelligent machines.

The dynamics of the physician knowledge system in the Southern California Region of Kaiser Permanente are explored. The framing and analysis use concepts from the knowledge management literature and network theory. The criticality of this issue to the establishment of sustainable healthcare relates to the lynchpin nature of embedding evidence-based knowledge in healthcare practice and the simultaneous challenge of combining this with clinical knowledge that derives from practice.

The case study is compiled from longitudinal interviews with over 40 physicians and other stakeholders and an examination of archival information including published articles generated by the learning system.

The socio-technical approach to building this learning system was critical given the expectations of physicians for autonomy in making clinical decisions with respect to their patients. This robust learning system builds on rich professional and organizational networks, is led by physicians, and builds on and extends the foundation of evidence relating to quality and value. The goals of the physician practice and a robust measurement and feedback system provide focus for the learning system.

Accelerating the incorporation of evidence-based practice and increasing the scope and reach of the learning system entails building physician networks, having a robust system for critically examining and extending evidence, and a clear linkage to valued outcomes.

This detailed examination of the dynamics of knowledge absorption extends understanding of the capacity of medical care systems to absorb evidence-based knowledge.

The purpose of this chapter is to characterize knowledge organization (KO) as a field that is affected by geographic and diachronic variations in such a way that the recognition of a slanted KO could be considered an ethical option in the KO theory and practice. KO can be considered a dynamic social product that reflects a construction that is altered in space and time. Slants are inherent to any organization of knowledge and are manifested in multiple dimensions. There is a need to find a balance between the respect for the local specificities and the necessity of global access to information. Conceptual and terminological time and space slants in KO are presented. Examples of possible day-by-day searches are analyzed in order to evidence the different cultures that are involved in the different social-linguistic characteristics. The recognition of time and space as operational axes for an ethical approach to a slanted KO is important because: (a) it tries to intervene in represented and possibly disseminated biases that are practiced so far; (b) it recognizes the coexistence of diverse groups and communities, with local characteristics, meanings, and idiosyncrasies, that will need to communicate with each other in global information systems of information; and (c) it can promote an intercultural ethics of mediation, culturally warranted, in order to avoid cultural damages and to guarantee that descriptions can reflect the past while keeping an eye in the future, based on KOS whose functionality remains over time.

Computer-mediated knowledge transfer has been at the forefront of consultancy research. The underlying idea is that individual knowledge can be externalized into disembodied symbols and codes, which can then be disseminated and accessed electronically within and across organizations. Although the process of externalization and transfer of knowledge has been investigated from various theoretical perspectives (positivism, social constructionism, pluralism), little research has addressed the role of cognition in computer-mediated knowledge transfer. Based on a case study within an international technical consulting firm, we argue that the success or failure of computer-mediated knowledge transfer is influenced to a large degree by embodied mental frames, social networks, and individuals’ creative and explanatory use of artifacts in real-world situations.

As a critical component in the entrepreneurial process, knowledge is essential to the study of how entrepreneurs compete under constraints. Research in this area is challenged by the unobservable and imprecise nature of knowledge which inhibits advanced theory building and testing, and we explore this problem by analyzing the relationship between the entrepreneurial process, constraints to the process, and knowledge flows. We apply and extend a systems-theoretic framework that identifies the knowledge system in entrepreneurial organizations, and develop an integrative model to guide future research.

This chapter demonstrates how the University of Waikato in New Zealand adapted a global standard (the Library of Congress Classification) for local use by inscribing topics related to and about Māori history and people.

The findings are the result of using library catalogs and classifications as primary historical documents.

The University of Waikato’s classification simultaneously uses and implicitly critiques a universal system written from a U.S. vantage point. It seems to acknowledge the benefits and necessities of using a globally recognized standard, as well as a need to inscribe local, anticolonial perspectives into that system.

The research relies on historical documents, and some aspects related to purpose and attribution are difficult to ascertain.

The local adaptation of the Library of Congress Classification may serve as a model for other local adaptations.

This may bring new dimensions to thinking about colonialism and anticolonialism in knowledge organization systems. It contributes to ongoing conversations regarding indigenous knowledge organization practices.

Although scholars have examined Māori subject headings, research on local shelf classifications in New Zealand have not been objects of study in the context of global and local knowledge organization. This chapter brings an important classification to light.

The growing uses of digital technologies have been creating several new business opportunities. Recently, a new concept has emerged in the literature, the “digital entrepreneurship ecosystem” (DEE). However, it has been empirically understudied. Thus, this study aims to analyze the influence of DEE on entrepreneurial activity. The meta-organization theory was used as a perspective of analysis. A quantitative methodology was applied in a sample that includes data from 28 European countries through the generalized method of moments. It was concluded that the DEE pillars, informal and formal institutions, market conditions, physical infrastructure, human capital and talent and networking and support positively influence entrepreneurial activity. It was also found that the variables knowledge, creation and dissemination and finance have a negative impact on entrepreneurial activity. Several theoretical and empirical contributions are also left for the various stakeholders. The present study is original, as no known studies analyze the influence of DEE on entrepreneurial activity in European countries from the perspective of meta-organization theory.