Teaching Team Competancies

Author(s):  
Tony Jewels ◽  
Rozz Albon

Within institutes of higher education, the incorporation of various types of group work into pedagogies is already widespread, yet many examples fail to embrace a rationale for, or the potential benefits of, multiple contributor environments essential in a knowledge intensive society. We propose that for optimum IT workplace effectiveness, in which principles of knowledge management need to be applied, it is necessary to take into account the competencies of the teams in which individuals work and to explicitly teach team competency skills.

Author(s):  
Tony Jewels ◽  
Rozz Albon

For optimum workplace effectiveness in knowledge-intensive industries in which principles of knowledge management need to be applied, it is necessary to take into account not only the competencies of individuals themselves but also the competencies of the teams in which they must operate. Although the incorporation of various types of group work into pedagogies is already widespread within institutes of higher education, many examples fail to embrace a rationale for, or the potential benefits of, multiple contributor environments. We present in this chapter arguments for including the teaching of team competency principles in higher education, supported by an original multi-dimensional team competency teaching model, a taxonomy for assessing team competency levels and an example of the implementation of these principles.


Author(s):  
Fahmi Ibrahim ◽  
Diyana Najwa Ali

Higher education institutions (HEIs) are in knowledge intensive environments and play a central role in knowledge creation and production through research, learning, and teaching. It is important to consider that knowledge plays a vital role to HEIs and thus could benefit from established KM practices. The aim of this chapter is to evaluate the practices or implementation of knowledge management (KM) within HEIs in the context of Brunei Darussalam. It examines the importance, processes and the challenges or barriers of KM practices. The findings demonstrate that among the HEIs in Brunei that have developed KM initiatives, there are differences in the role and approaches. This verifies that KM is multifaceted concept and contextual in practice. Moreover, the findings revealed how knowledge in theory is managed and conceptualised. In conclusion, KM plays a significant role in HEIs in Brunei Darussalam with a contribution through a conceptual KMPro framework which has the potential to provide a guideline for HEIs practitioners to succeed in KM which was criticised as elusive.


Author(s):  
Juha Kettunen

The aims of knowledge management are to create knowledge and stimulate innovation. Knowledge management allows the knowledge of an organization to be located, shared, formalized, enhanced and developed. The challenges of knowledge management lie in creating environments that support knowledge sharing, knowledge creation, and innovativeness. This chapter examines challenges faced by Higher education institutions (HEI) in producing innovations and increasing their external impact on their regions. The most valuable assets of HEIs are the knowledge and skills embodied in human capital. The challenges of innovative HEIs can be derived from their customers’ needs, which usually cannot be met within a single discipline. This chapter explores the multidisciplinary development projects at HEIs and presents implications for the organizational structure supporting innovation and engagement of the institution with its region.


2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abebaw Fekadu ◽  
Claire Oppenheim ◽  
Tsegahun Manyazewal ◽  
Corey Nislow ◽  
Yimtubezinash Woldeamanuel ◽  
...  

Abstract Background Africa’s economic transformation relies on a radical transformation of its higher education institutions. The establishment of regional higher education Centres of Excellence (CoE) across Africa through a World Bank support aims to stimulate the needed transformation in education and research. However, excellence is a vague, and often indiscriminately used concept in academic circles. More importantly, the manner in which aspiring institutions can achieve academic excellence is described inadequately. The main objective of this paper is to describe the core processes of excellence as a prerequisite to establishing academic CoE in Africa. Methods The paper relies on our collaborative discussions and real-world insight into the pursuit of academic excellence, a narrative review using Pubmed search for a contextual understanding of CoEs in Africa supplemented by a Google search for definitions of CoEs in academic contexts. Results We identified three key, synergistic processes of excellence central to institutionalizing academic CoEs: participatory leadership, knowledge management, and inter-disciplinary collaboration. (1) Participatory leadership encourages innovations to originate from the different parts of the organization, and facilitates ownership as well as a culture of excellence. (2) Centers of Excellence are future-oriented in that they are constantly seeking to achieve best practices, informed by the most up-to-date and cutting-edge research and information available. As such, the process by which centres facilitate the flow of knowledge within and outside the organization, or knowledge management, is critical to their success. (3) Such centres also rely on expertise from different disciplines and ‘engaged’ scholarship. This multidisciplinarity leads to improved research productivity and enhances the production of problem-solving innovations. Conclusion Participatory leadership, knowledge management, and inter-disciplinary collaborations are prerequisites to establishing academic CoEs in Africa. Future studies need to extend our findings to understand the processes key to productivity, competitiveness, institutionalization, and sustainability of academic CoEs in Africa.


2019 ◽  
Vol 10 (1) ◽  
pp. 1-30
Author(s):  
Alireza Mohammadi

In this study, the integration of fuzzy analytic hierarchy processes (FAHPs) and fuzzy overlays in GIS was used to determine appropriate geographic zones for the establishment of knowledge intensive firms in 22 districts of the Tehran metropolis. According to the theoretical background, a number of criteria were selected for the identification of appropriate geographic zones. The results show that among the selected criteria, proximity to existing knowledge intensity firms, and companies providing information and communication technology (ICT) services, higher education and research centers, being close to convenient transportation network and land use have more important role in the location of firms. According to the findings, among 22 regions, regions 3, 7, 6, 1, 2, 10, 4, 11, and 12 are the most desirable ones for the deployment of firms. Ultimately, regions 6, 7, 3, and 1 have received “very high” priority for the deployment of knowledge intensive firms.


2011 ◽  
Vol 243-249 ◽  
pp. 6339-6343
Author(s):  
Guang Bin Wang ◽  
Gui You He ◽  
Li Bian

Due to the great negative impact, the construction industry needs to undergo a paradigm shift from traditional construction to sustainable construction. To reach the goal of sustainable development, the construction industry needs to intensify its efforts to move to a knowledge intensive mode. Based on the analysis of e-Cognos and the concept of ontology, this paper proposes that e-Cognos ontology can be applied in the development of sustainable construction process ontology, which is a key part of knowledge management system (KMS). Following this, the application process of ontology-based KMS is analyzed using IDEF0 modeling method. Finally, this paper analyzes interorganizational collaboration model in sustainable project.


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