A memory-based structural model for knowledge management and transfer

2021 ◽  
pp. 1-7
Author(s):  
Martin H. M. Sailer ◽  
Yuriy Georgiev ◽  
Gergo Mitov ◽  
Marin Guentchev
Keyword(s):  
Knowledge Management ◽  
Structural Model

scholarly journals Knowledge management systems: structural model of its success determinants in Latin America higher education institutions

2020 ◽  
Vol 12 (2) ◽  
pp. 30-51
Author(s):  
Vidalina De Freitas ◽  
Guillermo Yáber ◽  
Carlos Zerpa
Keyword(s):  
Higher Education ◽  
Knowledge Management ◽  
Service Quality ◽  
User Satisfaction ◽  
Structural Model ◽  
Management Systems ◽  
Knowledge Map ◽  
System Quality ◽  
Endogenous Variables ◽  
Implementation Factors

This study proposes a structural model of the causal relationships that organizational, strategic, technological, and implementation factors have with knowledge management (KM) processes, as well as those between KM processes and the implementation factors for knowledge management systems (KMSs) at higher education institutions (HEIs) in Latin America. The exogenous variables are: culture of sharing, leadership, KM approach, knowledge map, information management strategy, and ICT. In turn, the endogenous variables are: KM processes, system quality, service quality, KMS use, and user satisfaction. A causal, explanatory, cross-sectional, and ex post facto multivariate study was carried out, using a hypothetical–deductive approach. The sample consisted of 374 individuals (academics, administrators, and researchers), belonging to 193 HEIs across 15 Latin American countries. The resulting model presents a partial fit to the data, confirming the explanatory relationships between 12 of the variables. Based on the results obtained from calculation of the direct and indirect effects observed for each of the endogenous variables of the model, the following goodness of fit indices were calculated: absolute (χ2 = 48.908, P-value= .059, PCMIN= 1.397, RMSEA= .075, FMIN= .689) and incremental (GFI= .894, IFI= .790). It is concluded that leadership, KM approach, knowledge map, and ICT positively influence KM processes; KM processes have a causal relationship with system quality and service quality; and system quality and service quality have an influence on KMS use and user satisfaction.

Examining the factors influencing knowledge management system (KMS) adoption in small and medium enterprises SMEs

2018 ◽  
Vol 24 (1) ◽  
pp. 234-265 ◽  
Author(s):  
Fayiz Dahash Shrafat
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Process Model ◽  
Structural Model ◽  
Small And Medium Enterprises ◽  
Partial Least Square ◽  
Knowledge Management System ◽  
Adoption Process ◽  
Content Type ◽  
Medium Enterprises

Purpose The potential for the adoption of a knowledge management system (KMS) is becoming a crucial matter in small and medium enterprises (SMEs); however, there is a scarcity of studies related to KMS adoption in SMEs. Therefore, the purpose of this paper is to advance further our understanding of the factors that influence the KMS adoption process among SMEs. Design/methodology/approach The collected sample size was 247 respondents. For statistical analysis, Smart partial least square (PLS) (a structural model-based tool) was used to build, run and validate the process model. PLS regression techniques were used to analyze the latent constructs. Smart PLS exhibits both the measurement model and the structural model. Findings The results indicate that knowledge management capabilities, knowledge sharing, organizational learning capabilities and IT capabilities are the significant factors which influence KMS adoption. This study also identifies some unexpected results. Research limitations/implications The number of responses obtained from the survey was rather small. However, a larger number of responses would probably have resulted in a more accurate finding. Additionally, this study should be verified via a larger sample to increase its generalization. Practical implications The result of this study will provide SMEs with valuable guidelines to better understand what factors should be considered as highly important and thus providing decision makers and managers with valuable insights to increase the adoption level of KMSs. Originality/value The study addresses the research gap by developing and empirically validating a research model of KMS adoption from a different perspective that incorporates critical issues which have never been simultaneously examined.

scholarly journals Perancangan Sistem Informasi Manajemen Knowledge Berbasis WEB di Prodi Sistem Informasi Universitas Terbuka

JURNAL PETIK ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 27-31
Author(s):  
Dian Nurdiana
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Structural Model ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Management Information ◽  
Study Program ◽  
Unified Modeling ◽  
Abstract Knowledge

Abstract - Knowledge management is needed right now, but many companies or institutions are constrained in conducting knowledge management because of the limitations of the information system. In Information Systems Study Program Universitas Terbuka still uses a manual system that uses Windows file explorer. This results in the difficulty of sharing information with outsiders. Therefore we need a web-based knowledge management information system design that can solve problems so far. The design model in this article uses the Unified Modeling Language (UML) model, which is a structural model and techniques for modeling object-oriented program (OOP) design. The results of the design of knowledge management information systems are expected to be able to help develop software later. Keywords: information systems, knowledge management, Unified Modeling Language (UML).   Abstrak - Knowledge manajemen merupakan hal yang dibutuhkan saat ini, namun banyak perusahaan atau lembaga terkendala dalam melakukan knowledge manajemen karena keterbatasan sistem informasi. Di Prodi Sistem Informasi Universitas Terbuka masih menggunakan sistem manual yaitu menggunakan windows file explorer. Hal ini mengakibatkan sulitnya berbagi informasi dengan pihak luar. Oleh sebab itu dibutuhkan sebuah perancangan sistem informasi manajemen knowledge berbasis web yang bisa menyelesaikan permasalahan selama ini. Model perancangan pada artikel ini menggunakan model Unified Modeling Language (UML) yaitu model struktur dan teknik untuk pemodelan desain program berorientasi objek (OOP). Hasil yang dari perancangan sistem informasi manajemen knowledge ini diharapkan bisa membatu pengembangan perangkat lunak nantinya.                                                                                                                     Kata Kunci: sistem informasi, manajemen knowledge, Unified Modeling Language (UML).

scholarly journals Antecedents of Knowledge Management Practices: Case of Malaysian Practitioners

2018 ◽  
Vol 7 (1) ◽  
pp. 125-133
Author(s):  
Mohamed Jalaldeen Mohamed Razi ◽  
Mohd Izzuddin Mohd Tamrin ◽  
Abdul Rahman Ahmad Dahlan ◽  
Noor Azian Mohamad Ali
Keyword(s):  
Knowledge Management ◽  
Trust Management ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Management Practices ◽  
Structural Model ◽  
Reasoned Action ◽  
Management Support ◽  
Online Questionnaire ◽  
Average Variance

In this paper, we investigated the knowledge management (KM) behavior of executives in Malaysia who work in different sectors and involved in Information Technology (IT) related fields. We proposed a conceptual framework based on the Theory of Reasoned Action (TRA), the Theory of Planned Behavior (TPB) and Unified Theory of Acceptance and Use of Technology (UTAUT) to study their intention and involvement in KM initiatives. The knowledge creation theory (SECI process) was employed to operationalize KM intention and KM behavior. We proposed six independent variables that represent the social-cultural nature of KM as the antecedence of KM intention. These variables are trust, management support, decentralization, IT support, performance expectancy (PE), and effort expectancy (EE). Seventy-four executives from both private and government-linked organizations responded to our online questionnaire. SmartPLS3 was used to run the analysis. The reliability was ensured with the factor loadings, Cronbach’s alpha, Composite Reliability (CR) that met the fit requirement of above 0.6, 0.7 and 0.7 respectively. The convergent validity was confirmed through average variance extracted (AVE) that met the fit requirement of above 0.5. The discriminant validity was assessed by using Fornell and Larcker’s criterion. Finally, the structural model confirmed that only PE of KM, and EE of KM are the significant predictors of KM intention and the KM intention significantly predicts KM behavior. The implications of the findings are discussed in detail at the end of the paper.

scholarly journals Achieving strategic flexibility in the era of big data

2020 ◽  
Vol 58 (8) ◽  
pp. 1585-1600 ◽  
Author(s):  
Riccardo Rialti ◽  
Giacomo Marzi ◽  
Andrea Caputo ◽  
Kayode Abraham Mayah
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Structural Model ◽  
Methodological Approach ◽  
Strategic Flexibility ◽  
Content Type ◽  
Knowledge Management Capabilities ◽  
Management Capabilities

PurposeThis research unpacks the micro-mechanisms that exist between an organisation's ability to conduct big data analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational ambidexterity have long been considered factors influencing the aforementioned relationship. In order to assess this, the authors build on dynamic capabilities as the main theoretical lens through which to examine.Design/methodology/approachStructural equation modelling (SEM) is the main methodological approach used in this research. A structural model was developed and tested based on 215 survey responses collected from managers of organisations in continental Europe.FindingsThe results indicate that BDA capabilities are a significant antecedent of an organisation's strategic flexibility. This relationship, however, is influenced by knowledge management capabilities and ambidexterity.Practical implicationsManagers wishing to properly exploit the potential of big data should invest in the elaboration of knowledge management processes across their organisation. This strategy can foster strategic flexibility.Originality/valuePrevious research has explored the theoretical links between big data, knowledge management and strategic flexibility. However, little attention has been paid to the quantitative investigation of the phenomenon.

The Role of University, Structural, and Social Support Means on the Intention of Entrepreneurship

2021 ◽  
pp. 166-176
Author(s):  
Redouan Ainous
Keyword(s):  
Social Support ◽  
Knowledge Management ◽  
Young People ◽  
University Students ◽  
Structural Model ◽  
Educational Support ◽  
Structural Support ◽  
Entrepreneurial Spirit ◽  
The University

This chapter aims at studying the effect of the implicit factors on the intention of establishing an institution for the students of an Algerian university. The structural model of the study was proposed based on the Shapiro and Sokol model and the Ajzen model. The authors tested it on a sample of 163 university students at the University of Algeria 3. The model consists of a set of variables (the intention of establishing an institution as a dependent variable, structural and social educational support as independent variables). The results of the study showed that educational and social support factors affect the entrepreneurial spirit of students more than structural support. Value/authenticity of research enrich knowledge management literature that contributes to the search for how to support investment and support the intention to establish a special institution for young people through various mechanisms and means of support.

Knowledge management adoption in supply chain

2014 ◽  
Vol 9 (2) ◽  
pp. 160-178 ◽  
Author(s):  
Sachin K. Patil ◽  
Ravi Kant
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Influencing Factors ◽  
Structural Model ◽  
Fuzzy Decision Making ◽  
Management Support ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Effect Relationship

Purpose – The purpose of this article is to identify the critical success factors (CSFs) of knowledge management (KM) adoption in the supply chain (SC) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method through an empirical case study. Design/methodology/approach – The paper examines the influencing factors of KM adoption in SC which have been identified through the literature survey and expert opinion. The fuzzy DEMATEL method has been used to evaluate identified influencing factors. Considering the interdependence among factors, the fuzzy DEMATEL method forms a structural model and then visualizes the causal relationships among factors through a cause–effect relationship diagram. On the basis of the cause–effect relationship diagram, CSFs that are extraordinarily essential for KM adoption in SC are identified. Empirical case study of an Indian automobile organization presented to illustrate the fuzzy DEMATEL method and demonstrates its usefulness. Findings – The results gathered from the implementation of the fuzzy DEMATEL method to identify CSFs of KM adoption in SC to the chosen case illustrate that factors such as top management support, employee training and education, integration of knowledge and information flow, communication among the SC members and trustworthy teamwork to exchange knowledge within SC need to be highlighted as critical factors for successful adoption of KM in SC. Practical implications – The finding not only offers a meaningful base to deepen the understanding with regard to KM adoption in SC, but also provides a clue to develop an effective adoption of KM in SC in a stepwise manner. Originality/value – The empirical case study contributes to the literature on KM adoption in SC, suggesting how an organization can identify CSFs of KM adoption in SC and implement them progressively to greatly improve the efficiency of the whole SC performance.

scholarly journals A causal relationship model of factors affecting competitiveness of community enterprise in the central region

2021 ◽  
Vol 58 (1) ◽  
pp. 1685-1691
Author(s):  
Pinyapat Nakpibal Et al.
Keyword(s):  
Human Capital ◽  
Transformational Leadership ◽  
Knowledge Management ◽  
Central Region ◽  
Structural Model ◽  
Herbal Product ◽  
P Value ◽  
Human Capital Development ◽  
Cost Leadership ◽  
Capital Development

The purpose of this research were 1) to investigate the competitiveness of community enterprise, 2) to measure an agreement, and 3) to find a structural model of knowledge management, transformational leadership, and human capital development affected to community enterprise’s competitiveness. Multiphase mixed methods research applying quantitative research to extend qualitative results was used for research design. The qualitative target group was selected using purposive sampling whereas the quantitative sampling group was used two-stage random sampling. Questionnaires were used for measurement design. Qualitative data were classified and analyzed using content analysis and analytic induction. Quantitative data were analyzed by descriptive statistics and the developed model was validated by using LISREL program. The research found that 1) the overall competitiveness of community enterprise was in a high level. The interview result shown that the transformational leadership adopted the Sufficient Economy philosophy of “to do one thing at a time”, encouraged members to have a positive attitude of sharing idea. The leader should seeking for new knowledge and sharing benefits equally, applying local resources and wisdom to human capital making product development such as chili paste from mushroom, herbal product, etc. 2) The competitiveness of community enterprise’s empirical data had statistical agreement x^2=339.19,df=90,P-value=.00, most index were close to .90. The interview result found the successful of business came from product differentiate strategy. The product must be unique and stand out from competitors such as herbal compress, ikat silk, snack from rice, etc. There was also a cost leadership strategy be used. 3) The competitiveness of community enterprise was directly influenced by 3 factors; knowledge management (Direct Effect or DE=.26) transformational leadership (DE=.39) and human capital development (DE=.34) whereas indirect effects came from a transformational leadership by knowledge management (Indirect Effect or IE=.89) and human capital development (IE=.76). Therefor the model developed was acceptable and good to be used for forecast the competitiveness of community enterprise in the central region. The form of the 3 factors that affect to the competitiveness was 3L Model for SMEs Competitiveness based on the developing of members’ abilities; supported knowledge, upgraded skill, etc. The head of community enterprise must emphasized on mission and goal setting, kindness, participation of members, motivation, employing competitive advantages of product differentiate, niche marketing, and cost leadership.

scholarly journals KNOWLEDGE MANAGEMENT BEHAVIOR AMONG ACADEMICIANS: THE CASE OF A MALAYSIAN HIGHER LEARNING INSTITUTION

2019 ◽  
Author(s):  
Mohamed Jalaldeen Mohamed Razi ◽  
Md Habibullah ◽  
Husnayati Hussin
Keyword(s):  
Knowledge Management ◽  
Knowledge Creation ◽  
Trust Management ◽  
Structural Model ◽  
Reasoned Action ◽  
Implementation Strategies ◽  
Higher Learning ◽  
Management Support ◽  
Performance Expectancy ◽  
Effort Expectancy

Proper knowledge management (KM) is vital for any organization to perform to the expectation including higher learning institutions (HLIs). Hence, struggling to perform is an indication of lack of KM initiatives. Though many facets of KM have been investigated in HLIs, more studies are needed as the previous empirical works have focused only on knowledge sharing behavior among academicians. An intensive literature review exposes that nonexistence of works employing KM-related theories. Therefore, this study seeks to investigate academicians’ perceived intention (KM Intention) and involvement in KM initiatives (KM Behavior) and its predictors in a Malaysian HLI, which is struggling to perform, by relating theory of knowledge creation. KM intention explains the perception and the attitudes towards KM while the KM behavior illustrates the real behavior. Both these variables were operationalized based on knowledge creation theory through the socialization, externalization, combination, and internalization (SECI) process. A conceptual framework was developed based on the theory of reasoned action and the theory of planned behavior. Six independent variables representative of the socio-cultural nature of KM - trust, management support, decentralization, IT support, performance expectancy, and effort expectancy - were considered as the predictors of KM intention, which in turn, predict KM behavior. Data were collected from 156 academicians from an HLI in Malaysia using questionnaires. The questionnaire items were adapted from previous studies. The structural model analysis confirmed that out of seven proposed hypotheses, four are supported: Trust, performance expectancy, and effort expectancy influence KM Intention, while KM Intention influences KM Behavior. Even though further research works are needed to generalize the findings, the current research and the findings can enrich the KM literature and provide some insights to the decision makers of the selected HLI on the appropriate KM implementation strategies.  

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