scholarly journals Sustainability Management of Unesco Global Geoparks

2018 ◽  
Vol 2 ◽  
pp. 44-64 ◽  
Author(s):  
Martina Pásková ◽  
Josef Zelenka
Keyword(s):  
Knowledge Management ◽  
Quality Management ◽  
Strategic Management ◽  
Environmental Quality ◽  
Process Analysis ◽  
Holistic Approach ◽  
Participative Management ◽  
Sustainability Management ◽  
Combined Application ◽  
Local Actors

UNESCO global geoparkUNESCO global geoparks dynamic initiative draws attention of both experts and public by its innovatively holistic approach to conservation, presentation and interpretation of the Earth heritage interrelating the geodiversity of the region with its biodiversity and cultural diversity. The objective of this contribution is to analyse the processes behind the sustainability management of the UNESCO global geoparks.The process analysis of the certification and revalidation schemes of the UNESCO global geoparks reveals a combined application of the interrelated approaches of the sustainability management, in particular the environmental quality management, knowledge management, strategic management and participative management. The environmental quality management, stimulating UNESCO global geoparks to implement their mission, is ensured through the system of initial certification and regular revalidations. The performance of the UNESCO global geoparks is coordinated on the continental and global levels. This networking facilitates an effective implementation of the knowledge management, which consists in the systematic sharing of knowledge and experience among individual geopark representatives. The participative management is implemented not only through the participation of the individual geoparks representatives in the decision making processes of the Global Geoparks Network and continental networks, but mainly through the participation of local actors in the activities of given UNESCO global geopark. The application of the strategic management ensures the long term balanced contribution of UNESCO global geoparks to the sustainable development and cultural identity of the given region. The analysis has shown a specific way in which the selected concepts of the sustainability management are implemented in the evaluation and revalidation procedures, networking and other pillars of the UNESCO global geoparks development.

Formulating Knowledge Management Infrastructure Based on Strategic Management and Total Quality Management

2004 ◽  
Vol 03 (01) ◽  
pp. 27-44
Author(s):  
Cheng Ming Lin ◽  
Chiu-Chi Wei
Keyword(s):  
Knowledge Management ◽  
Quality Management ◽  
Total Quality Management ◽  
Strategic Management ◽  
Rapid Change ◽  
Research Area ◽  
Total Quality ◽  
Key Factors ◽  
Km Value ◽  
New Research

Due to the rapid change in technology environments, creating value through Knowledge Management (KM) has become a new research area. The organization must continuously learn, share, expand and apply knowledge in order to maintain business advantage in this highly competitive age. This study first investigates the evolution and practical application of the Strategic Management (SM) and Total Quality Management (TQM), and then constructs an adequate framework for establishing the KM system. The objective of this study is to address the importance of SM and TQM on KM from the methodological viewpoint. A few points are discussed to explore the key factors for establishing the most effective management structure to optimize the KM value.

scholarly journals Pengaruh Digital Leadership, Total Quality Management, dan Knowledge Management terhadap Sustainability Management pada Perusahaan di DKI Jakarta

2021 ◽  
Vol 2 (2) ◽  
pp. 97-124
Author(s):  
Jennifer Wesly ◽  
◽  
Veren Kristiana ◽  
Tommy Bong ◽  
Nopriadi Saputra ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Quality Management ◽  
Total Quality Management ◽  
Significant Influence ◽  
Sampling Technique ◽  
Primary Data ◽  
Total Quality ◽  
Sustainability Management ◽  
Management Knowledge ◽  
Analysis Technique

Abstract Purpose: This study aimed to determine the influence of digital leadership, total quality management, and knowledge management on companies’ sustainability management in DKI Jakarta. Research methodology: The sampling technique used in this research is the convenience sampling technique. It used primary data through questionnaire distribution with 389 respondents of employees who work in DKI Jakarta. As for the data analysis technique, this research used the regression technique in both simple and multiple regression. Results: The results of this study indicate that digital leadership and knowledge management have a significant influence on the sustainability management of companies in DKI Jakarta. Meanwhile, total quality management does not have a significant influence on the sustainability management of companies in DKI Jakarta Limitations: This study only examines the variables of digital leadership, total quality management, knowledge management, and sustainability management. This research is also limited to employees who work at companies in DKI Jakarta. Contribution: This study shows how the level of digital leadership, total quality management, knowledge management, and sustainability management in companies in DKI Jakarta. This study also shows how digital leadership, total quality management, and knowledge management affect sustainability management. Companies can use this research to improve the company’s sustainability management by implementing digital leadership, knowledge management and paying more attention to the importance of developing total quality management within the company.

scholarly journals Strategic management model with lens of knowledge management and competitive intelligence

2017 ◽  
Vol 47 (1) ◽  
pp. 55-93 ◽  
Author(s):  
Muhammad Shujahat ◽  
Saddam Hussain ◽  
Sammar Javed ◽  
Muhammad Imran Malik ◽  
Ramayah Thurasamy ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Strategic Management ◽  
Competitive Advantage ◽  
Information Resources ◽  
Competitive Intelligence ◽  
Management Model ◽  
Management Process ◽  
Content Type ◽  
Use Of Knowledge ◽  
Strategic Management Process

Purpose The purpose of this study is primarily to discuss the synergic and separate use of knowledge and intelligence, via knowledge management and competitive intelligence, in each stage of strategic management process. Next, this paper aims to discuss the implications of each stage of strategic management process for knowledge management and competitive intelligence and vice versa. Design/methodology/approach A systematic literature review was performed within time frame of 2000-2016. Extracted information from reviewed studies was synthesized and integrated in strategic management model of Fred David. Findings A strategic management model with lens of knowledge management and competitive intelligence is proposed. Each stage of knowledge management process has implications for knowledge management and competitive intelligence and vice versa. In addition, synergic and separate use of knowledge and intelligence results in effective decision-making, leading to competitive advantage. Research limitations/implications Learning curve of knowledge management and competitive intelligence and being limited to the use of Fred David model are among the many key limitations. Practical implications Experts of knowledge management, competitive intelligence and strategic management can use this study to gain competitive advantage based on knowledge and information resources. Organizations should have knowledge management function and competitive intelligence to support the strategy formulation, implementation and evaluation. Social implications Readers can take a view for how they can manage their knowledge and information resources from a strategic perspective. Originality/value This study proposes a strategic management model with lens of knowledge management and competitive intelligence. The model discusses ways for synergic and separate use of knowledge and intelligence in each stage of strategic management, leading to competitive advantage. In addition, it discusses the holistic and integrated implications of knowledge management and competitive intelligence for each stage of strategic management process and vice versa.

scholarly journals THE DEVELOPMENT OF THE QUALITY MANAGEMENT SYSTEM IN TERMS OF KNOWLEDGE MANAGEMENT / KOKYBĖS VADYBOS SISTEMŲ TOBULINIMAS ŽINIŲ VADYBOS ASPEKTU

2011 ◽  
Vol 3 (4) ◽  
pp. 113-119
Author(s):  
Romualdas Vitkauskas
Keyword(s):  
Knowledge Management ◽  
Quality Management ◽  
Quality Management System ◽  
Analysis Method ◽  
Continual Improvement ◽  
Correlation Analysis Method ◽  
Product And Process ◽  
Quality Of Products ◽  
The Relationship

The interaction of quality management and knowledge man­agement are analyzed quite widely in scientific literature and discussed with reference to various models integrating these two management theories. However, there are not enough precise tools that could provide a possibility of improving the quality of products and services through knowledge management. To this end, the article examines the already existing models for the interaction between quality management and knowledge management. The results of a survey on Lithuanian industry show what organizational knowledge is the most important while implementing quality management principles aimed at improving quality. The correlation analysis method showed the relationship between quality management principles (process approach, continual improvement, management, facts) and the factors defining the product and process quality (the extent of determining process execution time, process resources, costs of process stages, indicators for products and/or services, the dura­tion of the process, the extent of measuring indicators, the extent of collecting information on indicators, the extent of collecting information about the costs of the process). Santrauka Kokybės vadybos ir žinių vadybos sąveika mokslinėje literatūroje analizuojama gana plačiai, aptariami įvairūs sąveikos modeliai integruojant šias dvi vadybos teorijas. Tačiau nepakankamai nagrinėjamos konkrečios priemonės, kuriomis būtų galima pagerinti produktų ir paslaugų kokybę pasitelkiant žinių vadybą. Tuo tikslu straipsnyje analizuojami jau egzis­tuojantys kokybės vadybos ir žinių vadybos sąveikos modeliai bei pateikiami Lietuvos pramonės įmonių tyrimo rezultatai, parodantys, kokios organizacinės žinios svarbiausios įgyvendinant kokybės vadybos principus, skirtus kokybei gerinti. Taikant koreliacinės analizės metodą nustatyta, kad egzistuoja ryšys tarp kokybės vadybos principų (procesinio požiūrio, nuolatinio gerinimo, valdymo remiantis faktais) įgyvendinimo lygio ir veiksnių, apibūdinančių produktų ir procesų kokybę (procesų įvykdymo laiko nustatymas, procesų išteklių nustatymas, procesų etapų išlaidų nustatymas, produktų ir (ar) paslaugų rodiklių nustatymas, rodiklių matavimas, rodiklių informacijos rinkimas, informacijos apie proceso trukmę nustatymas ir informacijos apie proceso išlaidas rinkimas).

Big data quality framework: a holistic approach to continuous quality management

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ikbal Taleb ◽  
Mohamed Adel Serhani ◽  
Chafik Bouhaddioui ◽  
Rachida Dssouli
Keyword(s):  
Big Data ◽  
Quality Management ◽  
Data Quality ◽  
Value Added ◽  
Holistic Approach ◽  
Research Area ◽  
Heterogeneous Data ◽  
Data Generation ◽  
Continuous Quality ◽  
Quality Profile

AbstractBig Data is an essential research area for governments, institutions, and private agencies to support their analytics decisions. Big Data refers to all about data, how it is collected, processed, and analyzed to generate value-added data-driven insights and decisions. Degradation in Data Quality may result in unpredictable consequences. In this case, confidence and worthiness in the data and its source are lost. In the Big Data context, data characteristics, such as volume, multi-heterogeneous data sources, and fast data generation, increase the risk of quality degradation and require efficient mechanisms to check data worthiness. However, ensuring Big Data Quality (BDQ) is a very costly and time-consuming process, since excessive computing resources are required. Maintaining Quality through the Big Data lifecycle requires quality profiling and verification before its processing decision. A BDQ Management Framework for enhancing the pre-processing activities while strengthening data control is proposed. The proposed framework uses a new concept called Big Data Quality Profile. This concept captures quality outline, requirements, attributes, dimensions, scores, and rules. Using Big Data profiling and sampling components of the framework, a faster and efficient data quality estimation is initiated before and after an intermediate pre-processing phase. The exploratory profiling component of the framework plays an initial role in quality profiling; it uses a set of predefined quality metrics to evaluate important data quality dimensions. It generates quality rules by applying various pre-processing activities and their related functions. These rules mainly aim at the Data Quality Profile and result in quality scores for the selected quality attributes. The framework implementation and dataflow management across various quality management processes have been discussed, further some ongoing work on framework evaluation and deployment to support quality evaluation decisions conclude the paper.

Methodological Approaches To Quality Management And Strategic Management Integrated System

2021 ◽  
Vol 3 (06) ◽  
pp. 91-98
Author(s):  
Ravshan Abdurahmonovich Isaev ◽  
Keyword(s):  
Quality Management ◽  
Strategic Management ◽  
Integrated System ◽  
Methodological Approaches

The article examines the issues of improving the methodological approaches to the integrated system of quality management and strategic management in textile enterprises.

The impact of quality management practices on knowledge management processes: a study of a social security corporation in Jordan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ata Al Shraah ◽  
Ayman Abu-Rumman ◽  
Faisal Al Madi ◽  
Fawwaz Ali Farhan Alhammad ◽  
Ayah Ahmad AlJboor
Keyword(s):  
Knowledge Management ◽  
Statistical Analysis ◽  
Quality Management ◽  
Social Security ◽  
Management Practices ◽  
Content Type ◽  
Quality Management Practices ◽  
Management Processes ◽  
The Impact ◽  
General Director

PurposeThis study aimed to investigate the impact of total quality practices on knowledge management (KM) processes across a Social Security Corporation (SSC) in Jordan and explore the best approach to improve KM processes using quality management.Design/methodology/approachThis study followed a quantitative methodology: a conceptual model was developed based on an extensive review of the related literature; an online survey was developed and distributed using the SSC's intranet; and 384 surveys were completed and used in the statistical analysis. The two-stage approach of structural equation modeling (SEM) was employed to analyze and interpret the data, and was used to validate the conceptual model of this research.FindingsBased on the statistical analysis it was found that six out of seven independent factors relating to quality management practices were confirmed to have a significant impact on the knowledge management processes (KMPs). Building upon the findings an agenda for improving KM processes using quality management is proposed.Originality/valueThis study was conducted in one organization namely the SSC because it is the largest public service organization in Jordan and offers compulsory services. The inclusion of other public organizations and companies may reflect different findings. Future research may collect data from other service industries to get a more comprehensive perspective from developing countries such as Jordan. Moreover, the population of this study included only the General Director, General Director Assistants, and Administrative Managers. Front-line employees were excluded from the data collection because the study was conducted solely from a managerial perspective.

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