Electronic Journal of Knowledge Management https://academic-publishing.org/index.php/ejkm <p><strong>The Electronic Journal of Knowledge Management (EJKM)</strong><strong> </strong>publishes research on topics relevant to the study and implementation of knowledge management, intellectual capital, intangible resources and related fields of study.<br /><br />The journal contributes to the development of theory, practice and policy in the field of knowledge management, intellectual capital and intangible resources. The journal accepts academically robust papers, topical articles, essays, book reviews and case studies that contribute to developing knowledge management, intellectual capital and intangible resources research and practice. All papers are double blind reviewed. This journal is indexed by <strong>Scopus</strong>.</p> Academic Conferences and Publishing International en-US Electronic Journal of Knowledge Management 1479-4411 <p><strong>Open Access Publishing</strong></p> <p>The Electronic Journal of Knowledge Maangement operates an Open Access Policy. This means that users can read, download, copy, distribute, print, search, or link to the <em>full texts</em> of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, is that authors control the integrity of their work, which should be properly acknowledged and cited.</p> <p><a style="background-color: #ffffff;" href="http://creativecommons.org/licenses/by-nd/4.0/" rel="license"><img src="https://i.creativecommons.org/l/by-nd/4.0/88x31.png" alt="Creative Commons License" /></a></p> <p>This Journal is licensed under a <a href="http://creativecommons.org/licenses/by-nd/4.0/" target="_blank" rel="license noopener">Creative Commons Attribution-NoDerivatives 4.0 International License</a>.</p> Using Seci To Improve Teachers’ Pedagogical Content Knowledge https://academic-publishing.org/index.php/ejkm/article/view/2146 <p>Pedagogical Content Knowledge (PCK) is a form of knowledge that has a big role in determining the success of the teaching and learning process in the classroom. Teachers in one school tend to have different levels of PCK, depending on each teacher’s background knowledge and experience. Previous professional teacher development schemes in Indonesia have been held in a way that emphasises the teacher’s individual learning aspects, were held separately between different teaching subjects (such as through a Mandatory Regional Teacher Meetings based on subject matters, known as “MGMP” in Indonesia), and has a lack of documented reports about the impact of that training on teaching. This study offers an alternative way to improve teachers' PCK using the knowledge creation approach. This study used the SECI model to design a procedure to facilitate teachers from the same school to share, externalise, combine, and internalise other teachers’ PCK for their own teaching practice. The procedures of this study have addressed several problems that are found in previous attempts of using PCK in an educational setting. This study found that one cycle of the SECI model could improve teachers' PCK (F(2, 40) = 68,963, p &lt; 0,05) and has the potential to close the gap between teachers’ PCK levels. Further research on an iterative SECI model to improve PCK with a longer timeframe and that evaluates factors that might affect the SECI process is needed to explore the potential of creating a shared perspective of PCK among teachers and create a contextual standard for a school as an educational institution. Exploratory research regarding teachers’ natural knowledge sharing and knowledge acquisition is also offered.</p> Zulfikar Alimuddin Jann Hidajat Tjakraatmadja Achmad Ghazali Henndy Ginting Copyright (c) 2021 Zulfikar Alimuddin, Jann Hidajat Tjakraatmadja, Achmad Ghazali, Henndy Ginting https://creativecommons.org/licenses/by-nc-nd/4.0 2021-05-13 2021-05-13 19 1 1 14 10.34190/ejkm.19.1.2146 The Effects of Organizational Absorptive Capacity, Professional Experience and Training over the Use of Sales Force Automation https://academic-publishing.org/index.php/ejkm/article/view/2148 <p>This research brings out the impact of training and professional experience on organizational absorptive capacity and the use of Sales Force Automation (SFA). A quantitative study was conducted on a sample of 186 medical sales representatives who work in the pharmaceutical industry. The method of structural equations based on the PLS approach and linear regression have been deployed for data analysis. The results reveal a positive impact of the training over organizational absorptive capacity (potential absorptive capacity and realized absorptive capacity) and the use of SFA as well as a positive impact of professional experience on organizational absorptive capacity. Furthermore, the organizational absorptive capacity has a positive influence on the use of the SFA. This study contributes to the literature on SFA use by examining the role of training, professional experience, realized and potential absorptive capacities in the SFA use. This research is appropriate for managers of pharmaceutical companies who constantly seek to improve the use of SFA technologies. Thus, the staff of these companies is more likely to perform their duties in a way that promotes their realized and potential absorptive capacities and the best use of SFA through continuous training for inexperienced and experienced salespeople.</p> Kaouther Jridi Amel Chaabouni Copyright (c) 2021 Kaouther Jridi , Amel Chaabouni https://creativecommons.org/licenses/by-nc-nd/4.0 2021-05-13 2021-05-13 19 1 15 32 10.34190/ejkm.19.1.2148 Antecedents of Knowledge Sharing Behaviour in the Public Sector https://academic-publishing.org/index.php/ejkm/article/view/2195 <p>This qualitative study investigated antecedents of knowledge sharing in the public sector. Basing on the theory of planned behaviour and literature review, three antecedents guided the conceptualization of the study namely; employee attitudes, subjective or social norms and perceived behaviour control. Data from the 19 in-depth interviews were thematically analyzed. Findings revealed that employee attitudes towards knowledge sharing in the public sector were both positive and negative. While the theory of planned behaviour focuses on the attitudes of knowledge givers, it emerged that the knowledge seekers’ attitudes mattered as well. Subjective norms were prevalent in meetings, teams, job rotation as well as in the Communities of Practice (CoP). The finding that Communities of Practice were disconnected in terms of knowledge sharing emerged surprising because we had not envisaged it since previous studies have not investigated it. Perceived behaviour control was modified by scanty organizational resources as well as incentives and policies. The study proposes knowledge sharing model for both practitioners and researchers.</p> Everest Turyahikayo Venitha Pillay Mary B. Muhenda Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0 2021-05-13 2021-05-13 19 1 33 42 10.34190/ejkm.19.1.2195 Misled by Data? Review of Data Sources in National Intellectual Capital Research https://academic-publishing.org/index.php/ejkm/article/view/2243 <p>This paper is a review of National Intellectual Capital (NIC) literature that focuses on the documented use of data and the data sources used in the NIC literature. The topic is important as the NIC research is largely based on data analysis and thus the use of data and the data sources used ultimately shape the reality around what is the big picture of national intellectual capital, as it is understood today. While this is the case, questions about use of data and the data sources used have not been in the core of the research tradition. The review focuses on 57 systematically collected NIC articles with a documented data source, published between the years 1991 and 2018. The results show that the majority of data-based NIC research is concentrated around a set of often-used data sources, while the rest of the data-based NIC literature uses a fragmented set of data sources. New data sources are rarely utilized. The documentation of data and data source use in the literature leaves room for criticism. Researchers and the users of NIC analyses benefit, if they are able to evaluate the quality, the coverage, and the relevance of the data sources used as a basis of NIC analyses. To the best of our knowledge, this is the first time that data sources used in the NIC literature are the main focus of a literature review.&nbsp;</p> Hannele Orjala Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0 2021-06-03 2021-06-03 19 1 pp43‑53 pp43‑53 10.34190/ejkm.19.1.2243 Social Connection and Knowledge Brokerage in a State Government Research Network in Australia https://academic-publishing.org/index.php/ejkm/article/view/2222 <p>The social dimensions of knowledge management are often overlooked when attempting to develop innovative approaches to preserve and balance the multiple values of protected natural landscapes. This oversight can hinder the incorporation of knowledge from research and experience, particularly tacit knowledge held by experts and experienced individuals. Building social connection between leaders, researchers and experienced staff within an organisation can address this challenge because it fosters knowledge incorporation and dissemination. However, this can be a slower, more costly and more challenging method of incorporating diverse knowledges. Organisations, particularly government organisations, need to demonstrate the value of building social connection and cohesion. Our work was designed to evaluate social connection and the development of deliberative knowledge networks. We tracked social connection during the formation of a research network within a state government organisation in Australia. The aim of the network was to improve the adoption of research knowledge into management of the alpine region in the state of New South Wales, Australia. Social Network Analysis (SNA) was used to evaluate the effectiveness of forming a research network, given it was a costly, time-consuming and challenging method for the organisation. SNA was used to visualise social connections and measure changes during the planning phase of the research network over 12 months, when scope of the alpine research program was being identified and priorities determined. The analysis revealed individuals in the network grew social connections over time (total ties, average degree and density increased) which is likely to lead to better knowledge sharing. The SNA also identified individuals with knowledge brokerage roles (betweenness scores) and those with the greatest reach and potential influence in the network (key players) who were targeted for future roles in the network. The majority of alpine information was sought from and shared with staff within the network, particularly those in two Groups/ Divisions, which may limit the innovation by the network. The results provided insight to the government research network that is invaluable in its transition from the planning phase to implementation of research priorities and adaptive management. Our approach provides evidence for the value of building social connections and knowledge brokerage to improve environmental outcomes.</p> C. Louise Goggin Rebecca Cunningham Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0 2021-05-20 2021-05-20 19 1 pp54 75 10.34190/ejkm.19.1.2222