SECI, Ba and Leadership: A Unified Model of Dynamic Knowledge Creation

Nonaka, Ikujiro; Toyama, Ryoko; Konno, Noboru

doi:10.4135/9781446217573.n2

Cited by 694 publications

(1,325 citation statements)

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“…Yet as previously explained, they are also mutually exclusive [18]. These two important points of inseparable yet mutually exclusive entities, would seem to be paraphrased across Nonaka, Toyama and Konno's ( [20], p.8) words of "explicit knowledge without tacit insight quickly loses its meaning". Later literature by Nonaka et al ( [21], [22]) especially stress the inseparable aspect of tacit and explicit knowledge: "tacit and explicit should not be treated as separate entities but rather mutually complementary and based on the same continuum" ( [22], p. 640).…”

Section: Understanding Tacit Knowledgementioning

confidence: 90%

Addressing the tacit knowledge gap in knowledge systems across agential realism

Holford¹,

Hadaya²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Understanding Tacit Knowledgementioning

confidence: 90%

Addressing the tacit knowledge gap in knowledge systems across agential realism

Holford¹,

Hadaya²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…manuals, formulae and specifications (Hsu 2006). Explicit knowledge is coded and articulated, therefore it is relatively easy for knowledge management systems to identify, store and transfer (Nonaka et al 2000). ESM technologies provide features that enable organizations to effectively store and manage knowledge (Steininger et al 2010).…”

Section: Knowledge Transfer-social Capital Theorymentioning

confidence: 99%

“…Tacit knowledge is developed mainly through experiences, routine and emotions (Nonaka et al 2000). Individuals possess tacit knowledge in the form of technical know-how, experience and insight (Abidi et al 2005).…”

Section: Knowledge Transfer-social Capital Theorymentioning

confidence: 99%

Enterprise social media impact on human resource practices

Offong

Costello

2017

EBHRM

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Purpose:The purpose of this paper is to investigate how individual attitudes towards using enterprise social media (ESM) impacts trust, explicit and tacit knowledge sharing as well as work performance in emerging economies.Design/methodology/approach:The authors use data from a survey of 293 employed individuals in Lagos, Nigeria that work at organizations that have ESM systems. Findings:The authors find enterprise social media usage are significantly associated with trust. However, ESM use does not impact explicit or tactic knowledge transfer. Practical implications:The paper provides empirical evidence that individuals who perceive high levels of performance expectancy will engage in ESM usage which in turn increases trust amongst colleagues. Human resource managers can argue that by adopting ESM, they can facilitate improved trust and collaboration through online engagement amongst employees. This is important for multinational organizations wanting to expand into emerging economies where the organization and local workforce need to foster trust in knowledge sharing. Originality/value:There has been little evidence regarding HRM use of ESM in emerging economies. By understanding individual attitudes towards ESM and how the use impacts knowledge sharing, the academic discussions concerning use of technology to enhance knowledge sharing can continue to evolve.

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“…Explicit knowledge can be documented in a formal and systematic language, while tacit knowledge is unstructured, highly personal and hard to articulate. It is based on intuition, judgment and experience one has, derived from actions, procedures, ideals, values, emotions [1]. Additionally, due to the growing numbers of software demands, many organizations has adopted distributed development approach in order to find the right skills at the right price by implementing global software development or offshore development where the teams are distributed in geographically distributed locations.…”

Section: Introductionmentioning

confidence: 99%