A Holistic Approach to Measure Organizational Readiness for Knowledge Management

Abstract

Management of organizational Knowledge is considered crucial in the present knowledge era. As a result, organizational readiness for knowledge management (KM) has been studied comprehensively from diverse viewpoints lately. KM enablers such as organizational culture, organizational structure and information technology infrastructures, and organizational members' perception towards KM are assumed to be the predictors of KM readiness . Nevertheless, those dimensions could be part of KM readiness rather than just merely being its predictors considering the inevitable nature of those variables for KM implementation. Accordingly, the current study hypothesis that these factors with behavioral intention of organizational members form a holistic dimension of organizational readiness for KM. To verify this claim a questionnaire based survey was conducted among 313 executives in the Sri Lankan telecommunication industry. To validate the research instruments used a first order measurement model was formulated using AMOS version 16. Then, to test hypotheses a second order analysis was performed. The indices for model fit are good and the structural coefficients are significant showing the data fit to the model. Hence, the present work recommends that the KM enablers, organizational members' perception and their behavioral intentions can be the dimensions of organizational readiness for KM.

Gestão do conhecimento e segurança da informação

“…O presente estudo assume a abordagem holística da Gestão do Conhecimento como uma tendência no campo da administração, conforme tem sido demonstrado em publicações recentes (Corrêa, 2019;Evans et al, 2014;Razi, Karim, Dahlan, & Mohamad Ali, 2017). Fatores subjacentes às condições capacitadoras apontadas por (Nonaka & Takeuchi, 2008), tais como como cultura organizacional, estrutura organizacional e infraestrutura de tecnologia da informação, formam a dimensão holística da Gestão do Conhecimento (Razi et al, 2017) e definem a característica holística do modelo de Nonaka (2019). O modelo SECI (Nonaka & Takeuchi, 2008) é a estrutura conceitual mais conhecida para a compreensão dos processos de geração de conhecimento nas Organizações (Farnese, Barbieri, Chirumbolo, & Patriotta, 2019).…”

Measuring Knowledge Management Readiness of Indonesia Ministry of Trade

“…This study adopted two factors from UTAUT: Effort Expectancy and Performance Expectancy. UTAUT itself is derived from TAM, TPB, and TRA, while these factors are already proven in previous studies [2] [29], the proposed research model were developed to measure KM Readiness. The theoretical framework or the model is displayed in Figure 2 latent factors.…”

“…Learning [5], [7], [8], [14], [16], [29] 4 Management Support [5], [8], [11], [12], [ Internalization [2], [5], [6], [8], [9], [12], [14] C. Sample and Data Collection KM Readiness assessment was conducted in DBN Ministry of Trade by using survey with non-probability sampling, as what Creswell suggests [30]. The online questionnaire was distributed to 70 of total population, then there were only 53 returned and answered.…”

“…It is unarguable that KM is fundamentally important for organization [1] [2]. Successful KM implementation enable the organization to achieve its objectives more effective and efficient.…”

Measuring Knowledge Management Readiness of Indonesia Ministry of Trade

“…This study adopted two factors from UTAUT: Effort Expectancy and Performance Expectancy. UTAUT itself is derived from TAM, TPB, and TRA, while these factors are already proven in previous studies [2] [29], the proposed research model were developed to measure KM Readiness. The theoretical framework or the model is displayed in Figure 2 latent factors.…”