This book offers a truly interdisciplinary exploration of our patterns of engagement with politics, news, and information in current high-choice information environments. Putting forth the notion ...that high-choice information environments may contribute to increasing misperceptions and knowledge resistance rather than greater public knowledge, the book offers insights into the processes that influence the supply of misinformation and factors influencing how and why people expose themselves to and process information that may support or contradict their beliefs and attitudes. A team of authors from across a range of disciplines address the phenomena of knowledge resistance and its causes and consequences at the macro- as well as the micro-level. The chapters take a philosophical look at the notion of knowledge resistance, before moving on to discuss issues such as misinformation and fake news, psychological mechanisms such as motivated reasoning in processes of selective exposure and attention, how people respond to evidence and fact-checking, the role of political partisanship, political polarization over factual beliefs, and how knowledge resistance might be counteracted. This book will have a broad appeal to scholars and students interested in knowledge resistance, primarily within philosophy, psychology, media and communication, and political science, as well as journalists and policymakers.
Knowledge is the most important resource needed for project management. The aim of this article is to present a full, consistent model of project knowledge management. There are two basic types of ...project knowledge: micro‐knowledge, needed for performing a single task (or its part), and macro‐knowledge (in other words, all the knowledge possessed by people from a given organizational level). Project knowledge is managed at four distinct levels: individual, project, organization, and global. The article describes the micro‐knowledge life cycle and macro‐knowledge life cycles from each organizational level, as well as the processes of vertical knowledge flow between organizational levels.
This paper presents the Mathematics Teacher's Specialised Knowledge (MTSK) model. It acknowledges earlier contributions to understanding and structuring teachers' knowledge, in particular, the ...special debt owed to Shulman's notion of pedagogical content knowledge and to Ball and collaborators' Mathematical Knowledge for Teaching (MKT), influential for the specialised nature of one of its sub-domains. The authors' research with teachers has led them to explore the characteristics of MKT and to refine the descriptors relating to its sub-domains, a task which has underlined the difficulty involved in unambiguously delimiting the boundaries which separate these. As a result, and taking into consideration a broader view of the specialised nature of the teacher's mathematical knowledge, the authors propose a framework which, whilst respecting the major domains of Content Knowledge and Pedagogical Content Knowledge, regards the specialisation in respect of mathematical knowledge as a property which is inherent to the model and extends across all sub-domains.
Pre-existing knowledge buried in manufacturing enterprises can be reused to help decision-makers develop good judgements to make decisions about the problems in new product development, which in turn ...speeds up and improves the quality of product innovation. This paper presents a graph-based approach to knowledge reuse for supporting knowledge-driven decision-making in new product development. The paper first illustrates the iterative process of knowledge-driven decision-making in new product development. Then, a novel framework is proposed to facilitate this process, where knowledge maps and knowledge navigation are involved. Here, OWL ontologies are employed to construct knowledge maps, which appropriately capture and organise knowledge resources generated at various stages of product lifecycle; the Personalised PageRank algorithm is used to perform knowledge navigation, which finds the most relevant knowledge in knowledge maps for a given problem in new product development. Finally, the feasibility and effectiveness of the proposed approach are demonstrated through a case study and two performance evaluation experiments.
Scholars, politicians, practitioners, and civil society increasingly call for sustainability transformations to cope with urgent social and environmental challenges. In sustainability transformations ...research, understandings of transformations are often dominated by Western scientific knowledge. Through a systematic literature review, we investigated how indigenous and local knowledge (ILK) is represented in peer-reviewed empirical scientific papers that apply ILK in contexts of transformation, transition, and change. Our results show, first, that all papers applied ILK to confirm and complement scientific knowledge in contexts of environmental, climate, social-ecological, and species change. Only four papers (5%) applied ILK to conduct research on transformations. Second, we identified four research clusters that apply ILK in contexts of transformation, transition, or change in (1) Arctic, (2) terrestrial, (3) coastal, and (4) grass and rangelands environments. These clusters are located along two axes: tropic to Arctic and marine to terrestrial. Finally, our results indicate that indigenous and local understandings of transformations are currently neglected in the scholarly transformations discourse. The reviewed papers do not focus on how indigenous peoples and local communities understand transformations, instead they focus on what changes indigenous peoples and local communities observe and describe, resulting from their daily experiences and activities. We argue that because of its in-depth local, place-based character, ILK can substantially contribute to a more plural understanding of transformations and the assessment of transformative change. We conclude that future research needs to investigate how to gain a more plural understanding of transformations that leads potentially to more inclusive actions toward more just, equitable, and sustainable futures on a local and global level.
Knowledge Graphs (KGs) have made a qualitative leap and effected a real revolution in knowledge representation. This is leveraged by the underlying structure of the KG which underpins a better ...comprehension, reasoning and interpretation of knowledge for both human and machine. Therefore, KGs continue to be used as the main means of tackling a plethora of real-life problems in various domains. However, there is no consensus in regard to a plausible and inclusive definition of a domain-specific KG. Further, in conjunction with several limitations and deficiencies, various domain-specific KG construction approaches are far from perfect. This survey is the first to offer a comprehensive definition of a domain-specific KG. Also, the paper presents a thorough review of the state-of-the-art approaches drawn from academic works relevant to seven domains of knowledge. An examination of current approaches reveals a range of limitations and deficiencies. At the same time, uncharted territories on the research map are highlighted to tackle extant issues in the literature and point to directions for future research.
•This is the first paper to provide an inclusive definition of a domain-specific KG.•We conduct a thorough analysis of more than 140 papers on KG construction approaches, covering seven domains.•The paper highlights research gaps in the area of domain-specific KG construction and suggests venues for future research.
Knowledge Graphs (KGs) have gained considerable attention recently from both academia and industry. In fact, incorporating graph technology and the copious of various graph datasets have led the ...research community to build sophisticated graph analytics tools, which has extended the application of KGs to tackle a plethora of real-life problems in dissimilar domains. Despite the abundance of the currently proliferated generic KGs, there is a vital need to construct domain-specific KGs. Further, quality and credibility should be assimilated in the process of constructing and augmenting KGs, particularly those propagated from mixed-quality resources such as social media data. For example, the amount of the political discourses in social media is overwhelming yet can be hijacked and misused by spammers to spread misinformation and false news. This paper presents a novel credibility domain-based KG Embedding framework. This framework involves capturing a fusion of data related to politics domain and obtained from heterogeneous resources into a formal KG representation depicted by a politics domain ontology. The proposed approach makes use of various knowledge-based repositories to enrich the semantics of the textual contents, thereby facilitating the interoperability of information. The proposed framework also embodies a domain-based social credibility module to ensure data quality and trustworthiness. The utility of the proposed framework is verified by means of experiments conducted on two constructed KGs. The KGs are then embedded in low-dimensional semantically-continuous space using several embedding techniques. The effectiveness of embedding techniques and social credibility module is further demonstrated and substantiated on link prediction, clustering, and visualisation tasks.
Purpose
This study aims to identify and classify the range of antecedents of counterproductive knowledge behavior (CKB) to provide a better understanding of their implications for addressing CKB.
...Design/methodology/approach
The study includes three studies. Using meta-analysis (Study 1) and meta-synthesis (Study 2), the authors reviewed extant primary quantitative and qualitative studies to aggregate information on the antecedents of CKB identified to date. In Study 3, these antecedents were modeled schematically by using the matrix of cross-impact multiplications (MICMAC) analysis.
Findings
The meta-analysis and meta-synthesis (Studies 1 and 2) yielded 28 antecedents of CKB. These were categorized into five groups of characteristics, relating to the workplace, leadership, interpersonal, individual differences and knowledge. Then, in Study 3, the antecedents were categorized according to their interrelatedness and strength of effects (using four quadrants comprising autonomous, dependence, driving and linkage factors).
Originality/value
This study takes an integrative approach to the CKB literature, both by aggregating underlying constructs (knowledge hoarding, hiding, etc.) and in aggregating quantitative and qualitative literature. This prevents silos and integrates knowledge across a range of CKB studies. Besides, the authors reveal the relative role of antecedents by modeling them.
► Co-management institutional arrangements in the Canadian Arctic bring together local and traditional knowledge with scientific knowledge. ► Knowledge co-production is the institutional trigger or ...mechanism to enable learning and adaptation to environmental change. ► Knowledge co-production within co-management is leading to positive social and ecological outcomes but building these processes takes time. ► Crises play a role in catalyzing knowledge co-production and instigating learning to deal with change. ► Enabling policy environments and commitment from higher order institutions is crucial to support knowledge co-production for learning and adaptation.
Co-management institutional arrangements have an important role in creating conditions for social learning and adaptation in a rapidly changing Arctic environment, although how that works in practice has not been clearly articulated. This paper draws on three co-management cases from the Canadian Arctic to examine the role of knowledge co-production as an institutional trigger or mechanism to enable learning and adapting. Experience with knowledge co-production across the three cases is variable but outcomes illustrate how co-management actors are learning to learn through uncertainty and environmental change, or learning to be adaptive. Policy implications of this analysis are highlighted and include the importance of a long-term commitment to institution building, an enabling policy environment to sustain difficult social processes associated with knowledge co-production, and the value of diverse modes of communication, deliberation and social interaction.
Purpose
– The purpose of this special issue s to cover a substantial range of approach to knowledge management penetrating inquiry that goes beyond intra-organizational learning processes to include ...inter-organizational perspectives.
Design/methodology/approach
– As pointed out by the literature on various aspects of the knowledge processes within and between organizations, the work has been organized coherently with two “strains” of topics: the first one focused on managerial practices and operative directions of knowledge management, the other one pointed out on applications of knowledge management to inter-firm networks. Qualitative as well quantitative papers have been welcomed.
Findings
– Opening up the idea of pluralism as a driving force in the knowledge economy pushes the organizations in a permanent cumulative process of adaptation and re-creation through innovative means of social interaction in global environments.
Research limitations/implications
– The dynamic nature of the field is reflected in the fact that this project expanded to encompass emerging works on knowledge models and concepts that grew from conversations within the network.
Originality/value
– This special issue aims to extend the current understanding on how diversity of approaches enhances the process of discovery: the authors convey the sense of where the stimulating challenges lie.
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