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The Post Nonaka Concept of Ba: eclectic roots, evolutionary
paths and future advancements
Rivadávia Alvarenga Neto – FDC, Brazil
Chun Wei Choo – FIS – University of Toronto, Canada
Rationale
• The management of organizational knowledge is really about
managing the context and conditions by which knowledge
can be created, shared, and put to use towards the
attainment of organizational goals (Alvarenga Neto, 2008,
von Krogh et al., 2000, Nonakla et al., 2006).
• This paper investigates and analyses the concept of ba – or
enabling context - in the fields of information science,
information systems and management/business literatures in
order to understand its conceptual evolution, discussions,
applications and expansion (if any!) since its introduction in
1998 by Nonaka et al. (Nonaka and Konno, 1998; Nonaka et
al., 2000; Nonaka and Toyama, 2002; Nonaka et al., 2006).
• The qualitative methodology is bibliographic and comprises – among
others - the methods of citation analysis and content analysis. A resulting
selection of 135 papers, 4 dissertations/theses and 4 books constituted
the research’s final database.
• Data analysis consisted of three flows of activities: (i) data reduction, (ii)
data displays (conceptual and mind maps), and (iii) conclusion
drawing/verification (or in this study, the extraction of categories).
• Displays in the form of conceptual maps proved useful for all three flows
of data analysis, especially in identifying analytical categories.
• Seven data reduction cycles were necessary in order to analyze and
synthesize the literature.
• Concept maps were created using CmapTools, a software environment
developed at the Institute for Human and Machine Cognition that allows
researchers to construct and analyze large representations of complex
domains (Cañas et al., 2004).
Figure 1: Research’s database assemblage.
Source: developed by the authors.
Figure - Example of data reduction/analysis – Source: developed by the authors
Figure 2: Synthesis of Nonaka’s et al. (2000, 2002, 2006)
propositions towards a knowledge-based theory of the firm.
Source: adapted by the authors.
Figure 3 – The four characteristics of ba . Source: Nonaka and Konno, 1998.
Figure 4: “Four Major Groups of Enabling Conditions” as a result of data analysis processes. Source: developed by the authors.
Figure 5: Theoretical/Conceptual analysis. Source: developed by the authors.
Figure 6: Analysis of the four major groups of enabling conditions. Source: developed by the authors.
Figure 6: Expanding the Concept of ba. Source: developed by the authors.
• The results pointed out to the identification of four major
groups of enabling conditions – social/behavioral,
cognitive/epistemic, informational and business/managerial -
which can be singly or freely combined into different
knowledge processes – creation, sharing/transfer, use – that
occur in different levels of interactions – individual, group,
organizational, inter-organizational. . For this reason, a
decision cube is proposed in the form of a framework for
designing enabling contexts in knowledge organizations
(FIGURE 7)
• The conclusions suggest that the concept of ba and its
underlying concepts are indeed sine qua non conditions for
organizational knowledge creation and innovation processes,
though ba is still both theoretically and empirically under-
explored. Nevertheless, we have found that the concept has
somehow been expanded as part of other theoretical
discussions and/or in different contexts, but still demands
further exploration, exploitation and development.
.Figure 7- Framework for designing enabling contexts in
knowledge organizations. Source: developed by the authors.
• Concerning the management of enabling contexts in
knowledge organizations, the study revealed that the main
arising challenges rely on all of the issues comprised on the
four groups of enabling conditions identified, most especially
social/behavioral – norms and values that guide social
contextual interactions, thus providing a fertile ground for
knowledge creation and innovation - and
business/managerial – concerning organizational culture and
structure, change management, leadership and the
development of new human resources management systems
for connecting knowledge assets and performance, thus
achieving the necessary speed to agile, flexible and innovative
in the 21st century’s knowledge society.
• A research agenda for ba is suggested in the fields of open
innovation, social networks – such as wikis, blogs, social
tagging, among others - and epistemic communities.
• Finally, as we speak, a research project is
being conducted at Embrapa - The Brazilian
Agricultural Research Corporation – by one of
the authors of this paper. The four groups of
enabling conditions were identified at
Embrapa, though we couldn’t yet measure the
importance of each and the overall results.
• Embrapa’s just finished it’s KM Model and
building and energizing ba is where all the
energy is being driven to (FIGURE 9).
Thank you! Obrigado!
rivadavia@fdc.org.br

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DMCC Future of Trade Web3 - Special Edition
 

Asist 2010 alvarenga neto and choo 2010

  • 1. The Post Nonaka Concept of Ba: eclectic roots, evolutionary paths and future advancements Rivadávia Alvarenga Neto – FDC, Brazil Chun Wei Choo – FIS – University of Toronto, Canada
  • 2. Rationale • The management of organizational knowledge is really about managing the context and conditions by which knowledge can be created, shared, and put to use towards the attainment of organizational goals (Alvarenga Neto, 2008, von Krogh et al., 2000, Nonakla et al., 2006). • This paper investigates and analyses the concept of ba – or enabling context - in the fields of information science, information systems and management/business literatures in order to understand its conceptual evolution, discussions, applications and expansion (if any!) since its introduction in 1998 by Nonaka et al. (Nonaka and Konno, 1998; Nonaka et al., 2000; Nonaka and Toyama, 2002; Nonaka et al., 2006).
  • 3. • The qualitative methodology is bibliographic and comprises – among others - the methods of citation analysis and content analysis. A resulting selection of 135 papers, 4 dissertations/theses and 4 books constituted the research’s final database. • Data analysis consisted of three flows of activities: (i) data reduction, (ii) data displays (conceptual and mind maps), and (iii) conclusion drawing/verification (or in this study, the extraction of categories). • Displays in the form of conceptual maps proved useful for all three flows of data analysis, especially in identifying analytical categories. • Seven data reduction cycles were necessary in order to analyze and synthesize the literature. • Concept maps were created using CmapTools, a software environment developed at the Institute for Human and Machine Cognition that allows researchers to construct and analyze large representations of complex domains (Cañas et al., 2004).
  • 4. Figure 1: Research’s database assemblage. Source: developed by the authors.
  • 5. Figure - Example of data reduction/analysis – Source: developed by the authors
  • 6. Figure 2: Synthesis of Nonaka’s et al. (2000, 2002, 2006) propositions towards a knowledge-based theory of the firm. Source: adapted by the authors.
  • 7. Figure 3 – The four characteristics of ba . Source: Nonaka and Konno, 1998.
  • 8. Figure 4: “Four Major Groups of Enabling Conditions” as a result of data analysis processes. Source: developed by the authors.
  • 9. Figure 5: Theoretical/Conceptual analysis. Source: developed by the authors.
  • 10. Figure 6: Analysis of the four major groups of enabling conditions. Source: developed by the authors.
  • 11. Figure 6: Expanding the Concept of ba. Source: developed by the authors.
  • 12. • The results pointed out to the identification of four major groups of enabling conditions – social/behavioral, cognitive/epistemic, informational and business/managerial - which can be singly or freely combined into different knowledge processes – creation, sharing/transfer, use – that occur in different levels of interactions – individual, group, organizational, inter-organizational. . For this reason, a decision cube is proposed in the form of a framework for designing enabling contexts in knowledge organizations (FIGURE 7) • The conclusions suggest that the concept of ba and its underlying concepts are indeed sine qua non conditions for organizational knowledge creation and innovation processes, though ba is still both theoretically and empirically under- explored. Nevertheless, we have found that the concept has somehow been expanded as part of other theoretical discussions and/or in different contexts, but still demands further exploration, exploitation and development.
  • 13. .Figure 7- Framework for designing enabling contexts in knowledge organizations. Source: developed by the authors.
  • 14. • Concerning the management of enabling contexts in knowledge organizations, the study revealed that the main arising challenges rely on all of the issues comprised on the four groups of enabling conditions identified, most especially social/behavioral – norms and values that guide social contextual interactions, thus providing a fertile ground for knowledge creation and innovation - and business/managerial – concerning organizational culture and structure, change management, leadership and the development of new human resources management systems for connecting knowledge assets and performance, thus achieving the necessary speed to agile, flexible and innovative in the 21st century’s knowledge society. • A research agenda for ba is suggested in the fields of open innovation, social networks – such as wikis, blogs, social tagging, among others - and epistemic communities.
  • 15. • Finally, as we speak, a research project is being conducted at Embrapa - The Brazilian Agricultural Research Corporation – by one of the authors of this paper. The four groups of enabling conditions were identified at Embrapa, though we couldn’t yet measure the importance of each and the overall results. • Embrapa’s just finished it’s KM Model and building and energizing ba is where all the energy is being driven to (FIGURE 9).
  • 16.