A Critical Review of Organizing Knowledge Management for Innovation

Author(s):  
Asa Romeo Asa ◽  
Harold Campbell ◽  
Johanna Pangeiko Nautwima

This study critically reviews the literature that demonstrates the relevance of knowledge management process and business intelligence, as well as the challenges arising when it comes to organising for innovation in today’s business organisations. Hence, the to attain desired innovation it is important to integrate business intelligence (BI) and knowledge management (KM) for the diffusion of innovation. Hence, importance of integrating business intelligence (BI) and knowledge management (KM) for the diffusion of innovation. Organisations’ innovation dynamics and knowledge processes that lead competitive advantage of organisations are examined. Literature points that many organisations rely on individual employees’ knowledge and skills. As a result, information systems that enable knowledge management (KM) as a critical tool for gaining a competitive advantage (Campbell, 2012). The seminal argument in this study is that knowledge diffusion and knowledge externalities are the main drive of increase in economy. As a result, this is expected to be a win-win value proposition for such organisations integrating business intelligence and knowledge management. However, owing to changing business conditions and the rapidity of technological development, as well as the rising expenses involved with carrying out R&D operations in many of these organisations, maintaining competitive advantage through internal R&D alone is becoming increasingly challenging. The importance of innovation processes and network dynamics in the context of Integrated Knowledge Networks is explored, which provide feasible possibilities for utilising innovation as an interactive process as well as knowledge processes for creating business intelligence in organisations. Due to the challenges of organising for innovation, the organisations figured to rely on “Open innovation” approach to intentionally seek out unique knowledge and information outside of their organisational bounds. This study also discusses the challenges that organisations hurdle on in managing inter-organizational cooperation because of external knowledge sourcing techniques (Campbell, 2009). This is due, in part, to the fact that they span a wide range of organisations, people, and resources, as well as the interactions that exist between them. The creative processes and network dynamics are facilitated by an architecture that blends organisational and technical aspects in Integrated Knowledge Networks. Hence, the study focuses on twofold to sourcing external knowledge in particular: learning from international business environments and corporate venturing strategy for corporate incubators.

Author(s):  
G. Scott Erickson ◽  
Helen N. Rothberg

Knowledge management (KM), intellectual capital (IC), and competitive intelligence are distinct yet related fields that have endured and grown over the past two decades. KM and IC have always differentiated between the terms and concepts of data, information, knowledge, and wisdom/intelligence, suggesting value only comes from the more developed end of the range (knowledge and intelligence). But the advent of big data/business analytics has created new interest in the potential of data and information, by themselves, to create competitive advantage. This new attention provides opportunities for some exchange with more established theory. Big data gives direction for reinvigorating the more mature fields, providing new sources of inputs and new potential for analysis and use. Alternatively, big data/business analytics applications will undoubtedly run into common questions from KM/IC on appropriate tools and techniques for different environments, the best methods for handling the people issues of system adoption and use, and data/intelligence security.


Author(s):  
David J. Dekker ◽  
Paul H.J. Hendriks

In knowledge management (KM), one perspective is that knowledge resides in individuals who interact in groups. Concepts as communities-of-practice, knowledge networks, and “encultured knowledge” as the outcome of shared sense-making (Blackler, 1995) are built upon this perspective. Social network analysis focuses on the patterns of people’s interactions. This adds to KM theory a dimension that considers the effects of social structure on for example, knowledge creation, retention and dissemination. This article provides a short overview of consequences of social network structure on knowledge processes and explores how the insights generated by social network analysis are valuable to KM as diagnostic elements for drafting KM interventions. Relevance is apparent for management areas such as R&D alliances, product development, project management, and so forth.


Author(s):  
Juha Kettunen ◽  
Manodip Ray Chaudhuri

This chapter contributes to the literature of knowledge management by providing a conceptual framework to promote organizational change. The chapter demonstrates that knowledge management can be used as a general framework which integrates the approaches of strategic and change management. A business company is an organization that must continually respond to environmental change and adjust to fluctuations to gain competitive advantage. Business intelligence produces tacit and explicit information about the markets that are used in the strategy process. The tools of change management provided in this chapter can be used in different kinds of organisations to increase competitiveness for the future. In addition, this chapter presents cases of successful change management. This chapter is useful for those who want to enhance change to increase competitive advantage of companies and other organisations.


10.26458/1732 ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 19-32
Author(s):  
Haradhan Kumar Mohajan

Every organization needs the proper knowledge management (KM) strategy for the development of the organization. In the last decades the business environment has changed and recently it becomes more dynamic and more complex. At present KM is valuable not only for individuals, and organizations, but also, for global humanity. So, the directors of the organizations must emphasize on the existing knowledge and try to develop them to achieve the competitive advantage. The purpose of the study is to explore the recent KM practice in the organizations and to show the ways to develop the new KM strategy in future. An attempt has been taken here to apply KM strategy in business performance, business intelligence, and e-business.


Author(s):  
David J. Dekker ◽  
Paul H.J. Hendriks

In knowledge management (KM), one perspective is that knowledge resides in individuals who interact in groups. Concepts as communities-of-practice, knowledge networks, and “encultured knowledge” as the outcome of shared sense-making (Blackler, 1995) are built upon this perspective. Social network analysis focuses on the patterns of people’s interactions. This adds to KM theory a dimension that considers the effects of social structure on for example, knowledge creation, retention and dissemination. This article provides a short overview of consequences of social network structure on knowledge processes and explores how the insights generated by social network analysis are valuable to KM as diagnostic elements for drafting KM interventions. Relevance is apparent for management areas such as R&D alliances, product development, project management, and so forth.


2010 ◽  
pp. 1617-1631
Author(s):  
Mark E. Nissen

In today’s increasingly networked world of organizational practice, information and computer technologies are enabling people and organizations to collaborate ever more virtually (i.e., even when distributed temporally and geographically). Despite the clear and many advantages enabled by the virtual organization, this increasingly common virtual organizational form is very demanding in terms of Knowledge Management. The key problem is that many otherwise knowledgeable people and organizations are not fully aware of their knowledge networks, and even more problematic, they are not aware that they are not aware. Thus organizational metacognition (e.g., an organization knowing what it knows) offers the potential to elucidate the key issues associated with knowledge networking in the virtual organization. The research described in this chapter builds upon a stream of work to understand and harness dynamic knowledge and organization for competitive advantage, with a particular emphasis upon knowledge networks and flows in the virtual organizational context.


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