Influence of Enablers on Processes and Benefits of Knowledge Management in a Closed Environment: A Structural Equation Modelling

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Srinivasan Morappakkam ◽  
Asha Nagendra
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling ◽  
Closed Environment

Relationships Among Knowledge Management, Organisational Innovativeness and Performance: Covariance-Based Versus Partial Least-Squares Structural Equation Modelling

2018 ◽  
Vol 17 (01) ◽  
pp. 1850008 ◽  
Author(s):  
José Roberto Frega ◽  
Alex Antonio Ferraresi ◽  
Carlos Olavo Quandt ◽  
Claudimar Pereira da Veiga
Keyword(s):  
Knowledge Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Model Stability ◽  
Equation Modelling ◽  
Path Modelling ◽  
And Performance

The relationships among effective knowledge management (KM), organisational innovativeness (OI), market orientation (MO) and organisational performance (OP) have been explored in the literature. These constructs are generally analysed in pairs, such as the influence of KM on OI, or KM on OP, and other combinations, but the relationships among the full set of constructs in question are not fully understood yet. In the extant literature, the relationships among them are analysed for the most part with covariance-based structural equation modelling (CB-SEM). Partial least-squares (PLS) path modelling is a component-based approach to SEM that is not as widely used as CB-SEM, but it has the potential to allow increased flexibility in handling various modelling problems in comparison with CB models, particularly for predictive and exploratory purposes. This paper aims to verify whether the PLS method could confirm or reject the results of the more restrictive covariance-based method in modelling the relationships among KM, OI, MO and OP. The results indicate that both methods yielded convergent and discriminant validity for the constructs, displaying stability across model analysis and depuration. The PLS model revealed the influence of KM on MO, OI and OP. It also shows that OI is the main driving factor for OP. KM seems to have a direct effect on OP, which is greatly magnified when mediated by OI. The sample size, although borderline adequate for the CB method, was more than adequate for PLS, yielding excellent model stability.

scholarly journals Knowledge Management dan Kinerja Organisasi Sektor Publik: Studi Empiris pada Entitas Akuntansi di Indonesia

2016 ◽  
Vol 1 (2) ◽  
pp. 1-13
Author(s):  
Muhammad Farid ◽  
Y. Anni Aryani
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Job Training ◽  
Survey Method ◽  
Job Rotation ◽  
Know How ◽  
Equation Modelling ◽  
Management Technology

This study aims to investigate the effect of knowledge management enablers on the performance of accounting entities in Indonesia. Knowledge management enablers consist of ICT know-how and skills, job training, job rotation, knowledge management technology and knowledge sharing. The sample of the study comprises 229 accounting entities in Indonesia. Data was collected by online survey method and analyzed using AMOS 22 software for structural equation modelling (SEM). The results show that four knowledge management enablers, namely ICT know-how and skills, job training, knowledge management technology and knowledge sharing, have significant influences on the performance of accounting entities. Meanwhile, job rotation does not affect the performance of the accounting entities. Abstrak Penelitian ini bertujuan untuk mengetahui pengaruh knowledge management  enablers terhadap kinerja entitas akuntansi di Indonesia. Knowledge management enablers dalam penelitian ini terdiri dari ICT know-how dan skills, job training, job rotation, knowledge management technology, dan knowledge sharing. Sampel dalam penelitian ini adalah 229 penyusun laporan keuangan pada entitas akuntansi di Indonesia. Data dikumpulkan dengan metode survei online. Data dalam penelitian ini dianalisis menggunakan Structural Equation Modelling (SEM) dengan software AMOS 22. Hasil penelitian menunjukkan bahwa empat knowledge management enablers yaitu ICT know-how dan skills, job training, knowledge management technology, dan knowledge sharing berpengaruh signifikan terhadap kinerja entitas akuntansi di Indonesia. Sementara itu, satu knowledge management enablers yaitu job rotation tidak berpengaruh terhadap kinerja entitas akuntansi di Indonesia.

Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management

2019 ◽  
Vol 23 (1) ◽  
pp. 67-89 ◽  
Author(s):  
Gabriel Cepeda-Carrion ◽  
Juan-Gabriel Cegarra-Navarro ◽  
Valentina Cillo
Keyword(s):  
Knowledge Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Analysis Data ◽  
Sem Analysis ◽  
Content Type ◽  
Equation Modelling

PurposeStructural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to examine how PLS-SEM has been applied in KM research, also providing some new guidelines how to improve PLS-SEM report analysis.Design/methodology/approachTo ensure an objective way to analyse relevant works in the field of KM, this study conducted a systematic literature review of 63 publications in three SSCI-indexed and specific KM journals between 2015 and 2017.FindingsOur results show that over the past three years, a significant amount of KM works has empirically used PLS-SEM. The findings also suggest that in light of recent developments of PLS-SEM reporting, some common misconceptions among KM researchers occurred mainly related to the reasons for using PLS-SEM, the purposes of PLS-SEM analysis, data characteristics, model characteristics and the evaluation of the structural models.Originality/valueThis study contributes to that vast KM literature by documenting the PLS-SEM-related problems and misconceptions. Therefore, it will shed light for better reports in PLS-SEM studies in the KM field.

Novelty and Threat in the Weapon Focus Effect: A Study with Structural Equation Modelling

2013 ◽  
Author(s):  
William Blake Erickson ◽  
James Michael Lampinen ◽  
Juliana Leding ◽  
Christopher S. Peters
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling ◽  
Weapon Focus ◽  
Focus Effect ◽  
Weapon Focus Effect
Sign in / Sign up

Export Citation Format

Share Document