scholarly journals Barriers to Knowledge Management in the Health Sector of Pakistan

2018 ◽  
Vol 10 (11) ◽  
pp. 4155 ◽  
Author(s):  
Jawad Karamat ◽  
Tong Shurong ◽  
Naveed Ahmad ◽  
Abdul Waheed ◽  
Shahbaz Khan
Keyword(s):  
Knowledge Management ◽  
Health Care Professionals ◽  
Matrix Multiplication ◽  
Health Sector ◽  
Developed Countries ◽  
Healthcare Industry ◽  
Sustainable Competitive Advantage ◽  
Interpretive Structural Modeling ◽  
Knowledge Assets ◽  
Effective Implementation

Knowledge management (KM) is the source for creating a sustainable competitive advantage, and it helps the organizations to retain, develop, organize and utilize their knowledge. Due to globalization, the organizations must maintain their knowledge assets to survive. Many organizations have realized the potential of KM and are applying it. Since the healthcare industry is growing significantly, it is continuously generating a wealth of knowledge. This knowledge can be recorded, communicated and used by many health care professionals with the help of KM. There is a wealth of research on KM in healthcare of developed countries, but very few studies regarding KM implementation can be found in developing countries i.e., Pakistan. Pakistan is now looking towards the implementation of KM; it is in its initial stages. The implementation of KM in the healthcare of Pakistan is affected by different barriers. In this study, the barriers will be identified and analyzed. An interrelationship between the barriers will be determined, and how the different barriers support each other (driving power), and how they influence each other (dependence power). The results of interpretive structural modeling (ISM) and MICMAC (Matrice d’Impacts croises-multipication appliqué an classment i.e., cross-impact matrix multiplication applied to classification) approach show that lack of support from top management, insufficient strategic planning and lack of support from organizational structure are the main barriers to KM adoption in the healthcare of Pakistan. This study provides a solution in determining the main barriers that need to be solved first, and to ensure effective implementation of KM in the healthcare of Pakistan.

scholarly journals Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan

2018 ◽  
Vol 15 (12) ◽  
pp. 2816 ◽  
Author(s):  
Jawad Karamat ◽  
Tong Shurong ◽  
Naveed Ahmad ◽  
Abdul Waheed ◽  
Kashif Mahmood
Keyword(s):  
Developing Countries ◽  
Knowledge Management ◽  
Competitive Advantage ◽  
Matrix Multiplication ◽  
Developed Countries ◽  
Global Market ◽  
Healthcare Sector ◽  
Interpretive Structural Modeling ◽  
Data Repositories ◽  
Use Of Resources

Knowledge is considered to be an important resource; it is the source of competitive advantage. However, if knowledge is managed well with Knowledge Management (KM), then it becomes a source for sustainable competitive advantage for organizations. If KM is implemented in an organization, it would improve the organizational competitiveness, performance, and productivity, and facilitate the efficient use of resources. Due to intense competition in the global market, many organizations are moving towards the adoption of KM. The healthcare sectors of many developed countries have moved towards the implementation of KM because it can improve the procuring of knowledge from ongoing activities by the effective use of data repositories. Developing countries have now realized the potential and benefits of KM adoption. Pakistan is one of the developing countries that have recently shown an inclination towards the adoption of KM in its healthcare sector to improve performance of its healthcare. This study was composed of two main research phases. Firstly, the enablers of KM were reviewed from earlier studies. Secondly, interpretive structural modeling (ISM) and MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) techniques were used to show the interrelationships between KM enablers and driving and dependence power of each enabler. The application of ISM and MICMAC technique shows that policy incentive, long-term strategic planning, Information Technology (IT), and alignment of KM efforts with business strategy are the main enablers of KM adoption in the healthcare of Pakistan. Focusing on the identified enablers will help in the implementation of KM. Policy incentives can work as a catalyst to promote KM adoption in the healthcare of Pakistan.

scholarly journals Promoting Healthcare Sustainability in Developing Countries: Analysis of Knowledge Management Drivers in Public and Private Hospitals of Pakistan

2019 ◽  
Vol 16 (3) ◽  
pp. 508 ◽  
Author(s):  
Jawad Karamat ◽  
Tong Shurong ◽  
Naveed Ahmad ◽  
Sana Afridi ◽  
Shahbaz Khan ◽  
...  
Keyword(s):  
Developing Countries ◽  
Knowledge Management ◽  
Competitive Advantage ◽  
Developed Countries ◽  
Healthcare Sector ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Private Hospitals ◽  
Public And Private ◽  
Public And Private Hospitals

Investing in a sustainable future has no alternative; the healthcare sector in developing countries has failed to achieve sustainability objectives. Knowledge management (KM) is a concrete application of sustainability in healthcare, as organizations (hospitals) that manage their knowledge assets will gain sustainable competitive advantage. Several organizations in developed countries are moving towards the adoption of knowledge management so that they can manage their knowledge well and improve their performance. Due to the effective implementation of KM in developed countries, developing countries are also considering adopting KM in their healthcare. In this study, an attempt has been made to identify the drivers of KM adoption in public and private hospitals of Pakistan. With the help of an extensive literature review and expert opinion, the drivers were identified and a hierarchical structure was developed. Nineteen drivers were identified and screened out by experts. The experts identified the contextual relationships between the drivers during a brainstorming session. The hierarchical model of the drivers for KM in the healthcare of Pakistan was eventually developed using interpretive structural modeling (ISM). The structure has 10 levels, in which “developed competitive advantage” formed the foundation of the structure and “job creation” and “improvement in the reputation of healthcare” formed the topmost level. The “Matrices d’Impacts Croises Multiplication Appliqué a un Classement” (MICMAC) analysis classified the drivers by categorizing them according to their driving and dependence powers. One driver is identified as autonomous, six drivers as dependent, seven drivers as linkage, and five drivers as independent. The analysis of KM drivers will provide a good understanding of the interdependence and interactions between them and support the effect adoption of KM in developing countries especially in Pakistan.

scholarly journals Mapping Interactions among Green Innovations Barriers in Manufacturing Industry Using Hybrid Methodology: Insights from a Developing Country

2021 ◽  
Vol 18 (15) ◽  
pp. 7885
Author(s):  
Sajid Ullah ◽  
Naveed Ahmad ◽  
Farman Ullah Khan ◽  
Alina Badulescu ◽  
Daniel Badulescu
Keyword(s):  
Delphi Method ◽  
Manufacturing Industry ◽  
Matrix Multiplication ◽  
Developed Countries ◽  
Fear Of Failure ◽  
Green Innovation ◽  
Interpretive Structural Modeling ◽  
Environmental Institutions ◽  
Environmental Deterioration ◽  
Three Phase

Recent years have witnessed continuous rise in adopting green innovations which is considered as an important organizational instrument to achieve profits by reducing environmental deterioration. However, green innovation in developing countries, especially in Pakistan, is surprisingly scant as compared to developed countries. This paper empirically investigated obstacles to green innovations in Pakistani manufacturing firms. Specifically, a novel three phase methodological framework was applied to investigate significant barriers and filtration by integrating Delphi method (DM), interpretive structural modeling (ISM), and cross-impact matrix multiplication applied to classification (MICMAC). Our results highlighted that lack of enforceable laws regarding returned goods and recycled products, lack of rules and regulations for green practices, and lack of collaboration with government and environmental institutions are most critical barriers. However, fear of failure about green innovation is least important barriers to green innovations adoption. This study offers interesting clues to promote green innovation in manufacturing industry.

scholarly journals Sustainable Orientation of Management Capability and Innovative Performance: The Mediating Effect of Knowledge Management

2020 ◽  
Vol 12 (4) ◽  
pp. 1366
Author(s):  
Julio C. Acosta-Prado ◽  
Oscar H. López-Montoya ◽  
Carlos Sanchís-Pedregosa ◽  
Ulpiano J. Vázquez-Martínez
Keyword(s):  
Knowledge Management ◽  
Structural Equation ◽  
Health Sector ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovative Performance ◽  
Management Capability ◽  
The Relationship ◽  
Positive Effect

The literature suggests that innovation allows organizations to reach a desirable level of sustainability. There is evidence to support the role of knowledge management (KM) as well as management capability (MC) in producing a sustainable approach at organizations. Furthermore, organizations commonly achieve sustainable practices through corporate social responsibility (CSR). In particular, the health sector is increasingly implementing CSR strategies, although with a narrow understanding of the factors to success. Hence, trends lead to asymmetric growth between organizations. This study aims to examine the mediating role of KM in the relationship between MC and innovative performance (IP) in 331 Health Provider Institutions (HPIs). The research reflective model was assessed through Partial Least Squares Structural Equation Modeling (PLS-SEM). According to the results, MC has a positive effect on IP, MC has a positive effect on KM, and KM has a positive effect on IP. Likewise, KM significantly mediates the relationship between MC and IP. Our findings support the importance of KM in addressing MCs in HPIs as it enables innovative practices to address CSR goals to achieve a sustainable impact. Moreover, this study contributes by expanding KM to contexts that are not usually studied, such as health in a South American country.

Construct Knowledge Structure of Linear Algebra

2011 ◽  
Vol 211-212 ◽  
pp. 793-797
Author(s):  
Chin Chun Chen ◽  
Yuan Horng Lin ◽  
Jeng Ming Yih ◽  
Sue Fen Huang
Keyword(s):  
Knowledge Management ◽  
Linear Algebra ◽  
Fuzzy Clustering ◽  
Mahalanobis Distance ◽  
Clustering Algorithms ◽  
Knowledge Structure ◽  
Interpretive Structural Modeling ◽  
Cognitive Characteristics ◽  
Fuzzy C Means ◽  
Fuzzy C Means Algorithm

Apply interpretive structural modeling to construct knowledge structure of linear algebra. New fuzzy clustering algorithms improved fuzzy c-means algorithm based on Mahalanobis distance has better performance than fuzzy c-means algorithm. Each cluster of data can easily describe features of knowledge structures individually. The results show that there are six clusters and each cluster has its own cognitive characteristics. The methodology can improve knowledge management in classroom more feasible.

Knowledge management implementation in Indian automobile ancillary industries

2016 ◽  
Vol 11 (3) ◽  
pp. 802-810 ◽  
Author(s):  
Nitin Yashwant Patil ◽  
Ravi M. Warkhedkar
Keyword(s):  
Knowledge Management ◽  
Industrial Area ◽  
Total Quality ◽  
Limited Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Relationship Of ◽  
Power And Dependence ◽  
The Relationship

Purpose In the past decade, much has been written about knowledge management (KM) in the manufacturing; however, less attention has been paid to the Indian automobile ancillary industries located in Chinchwad, Pune. It is suitable to find out the relationship of the factors of the study. It helps in identifying the hierarchy of factors to be taken, and interlinking of production department with KM improves the productivity of the industries. Categorization of these principles based on their driving power (principles which hold other principles) and dependence (principles which are dependent on other principles) has also been examined for KM implementation to study the driving power and dependence power of these principles. This paper aims to determine the roadmap of KM implementation and categorize KM principles based on their driving power for manufacturing industries with the use of the interpretive structural modeling (ISM)-based model. The results indicate that the principles possessing higher driving power, such as KM, inventory control, quality control, productivity and scheduling and their interlinking. The major contribution of this research lies in the development of contextual relationship among various identified factors of KM and determination of their driving and dependence power through a single systemic framework. Design/methodology/approach In this paper, author find out the suitability ISM for Indian Automobile industries to find the relation among the variables. Findings ISM model has been developed for the hierarchy of the identified KM. As ISM model results a hypothetical hierarchy which needs a proper quantitative analysis to evaluate their percentage effectiveness in the hierarchy. Research limitations/implications It is applied to automobile industries with limited number of variables that will show the dependence variable and driving variables and their interrelations. It can be applied other fields to fine the relationship of variables. Practical implications The ISM may be used in supply chain management and total quality management to find interlinking between the variables. Originality/value The limited data collected from Pimpri Chinchwad industrial area of Pune from Maharashtra state (India).

The aftermath of COVID-19 pandemic period: barriers in implementation of social distancing at workplace

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kashif Abbass ◽  
Abdul Aziz Khan Niazi ◽  
Tehmina Fiaz Qazi ◽  
Abdul Basit ◽  
Huaming Song
Keyword(s):  
Health Workers ◽  
Matrix Multiplication ◽  
Review Of Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Social Distancing ◽  
Employees With Disabilities ◽  
Data Collection And Analysis ◽  
Research Findings ◽  
Practical Implications

PurposeThe study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period.Design/methodology/approachStudy design consists of a review of literature, data collection and analysis. It encompasses identification, verification and analysis of the relationships among the barriers. Data have been collected from a panel of experts on matrix-type questionnaires from workplaces. Interpretive structural modeling (ISM) augmented with “Matrice d' Impacts Croise's Multiplication Appliquée a UN Classement (Cross Impact Matrix Multiplication Applied to Classification)” (MICMAC) for structural analysis.FindingsThe literature has identified twenty major barriers to implementing social distancing at the workplace. The research findings reveal/show that the barrier “matter of disrespect” occupies the bottom level in the ISM model. Therefore, it is the most critical barrier; whereas, employees with disabilities and “herding culture” are crucial as they occupy the next lowest level, therefore, are crucial. Moreover, there are ten barriers positioned in the middle of the model having moderate-severe effects, and seven falls on the top level of the model having relatively less severe effects. Results of MICMAC affirm and avow the results of ISM.Research limitations/implicationsThe study will have profound theoretical and practical implications for stakeholders since it provides lot of new useful and valuable information, gives relational insights and determines priorities subject to usual limitations of survey research.Originality/valueIt is an original attempt to make some sense of practicability of social distancing for stakeholders including policymakers, frontline health workers and public at large.

Impact of COVID-19 pandemic on community lifelines

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naeem Abas ◽  
Esmat Kalair ◽  
Saad Dilshad ◽  
Nasrullah Khan
Keyword(s):  
Natural Disasters ◽  
Health Sector ◽  
Ghg Emissions ◽  
Developed Countries ◽  
World Population ◽  
Water Safety ◽  
Content Type ◽  
Essential Services ◽  
The World ◽  
The Impact

PurposeThe authors present the impact of the coronavirus disease 2019 (COVID-19) pandemic on community lifelines. The state machinery has several departments to secure essential lifelines during disasters and epidemics. Many countries have formed national disaster management authorities to deal with manmade and natural disasters. Typical lifelines include food, water, safety and security, continuity of services, medicines and healthcare equipment, gas, oil and electricity supplies, telecommunication services, transportation means and education system. Supply chain systems are often affected by disasters, which should have alternative sources and routes. Doctors, nurses and medics are front-line soldiers against diseases during pandemics.Design/methodology/approachThe COVID-19 pandemic has revealed how much we all are connected yet unprepared for natural disasters. Political leaders prioritize infrastructures, education but overlook the health sector. During the recent pandemic, developed countries faced more mortalities, fatalities and casualties than developing countries. This work surveys the impact of the COVID-19 pandemic on health, energy, environment, industry, education and food supply lines.FindingsThe COVID-19 pandemic caused 7% reductions in greenhouse gas (GHG) emissions during global lockdowns. In addition, COVID-19 has affected social fabric, behaviors, cultures and official routines. Around 2.84 bn doses have been administrated, with approximately 806 m people (10.3% of the world population) are fully vaccinated around the world to date. Most developed vaccines are being evaluated for new variants like alpha, beta, gamma, epsilons and delta first detected in the UK, South Africa, Brazil, USA and India. The COVID-19 pandemic has affected all sectors in society, yet this paper critically reviews the impact of COVID-19 on health and energy lifelines.Practical implicationsThis paper critically reviews the health and energy lifelines during pandemic COVID-19 and explains how these essential services were interrupted.Originality/valueThis paper critically reviews the health and energy lifelines during pandemic COVID-19 and explains how these essential services were interrupted.

Factors impacting on effective implementation of land title registration – a perspective from Ghana

2020 ◽  
Vol 1 (2) ◽  
pp. 23-37
Author(s):  
Benjamin Armah Quaye
Keyword(s):  
Information Management ◽  
Developing Economies ◽  
Empirical Studies ◽  
Developed Countries ◽  
Legal Framework ◽  
Sub Saharan Africa ◽  
Resource Base ◽  
Registration System ◽  
Land Registration ◽  
Effective Implementation

Many governments across Sub Saharan Africa are in the process of introducing or improving land registration and formal titling systems. One of the stated aims is to achieve modern land information management in order to facilitate the development of the land market. It is often assumed that, because formal systems and institutions have enjoyed some positive outcomes in terms of realising wealth in developed countries, they will succeed equally well in developing economies. However, findings from empirical studies across several developing countries show that the performance of formal land registration systems has been mixed. Relying on empirical data from two major cities in Ghana, this paper examines the operations of land registration system with particular reference to its land information management aspects. The analysis shows that a divergence in the implementation of principles of the legal framework and organisational challenges are major contributory factors to deficiencies in the land information regime of the land registration system. Hence, there is a need for effective implementation of well-crafted and functional legal frameworks for land registration, to ensure that the principles and operations of land registration are locally relevant and sensitive. To address the inadequate organisational capacity there is a need to improve the capacity of the human resource base of the officials of the formal land administration sector. The procedure for land registration must also be streamlined in order to eliminate unnecessary requirements and thereby reduce the transaction time, costs of registration and frustration of clients.

Knowledge management, Data Science and interlaboratory data in the generation of knowledge assets

2021 ◽  
Author(s):  
Ney Kassiano Ramos ◽  
Cristina Keiko Yamaguchi
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Data Science ◽  
Animal Health ◽  
Decision Making Process ◽  
Knowledge Assets ◽  
Science Technology ◽  
Management Discipline

In this book, the authors propose that information from different animal health laboratories (here known as interlaboratory data), can be examined using the Knowledge Management discipline and Data Science technology, generating knowledge assets, information that can be useful in animal diagnosis, scientific studies and in the laboratories’ decision making process.

Sign in / Sign up

Export Citation Format

Share Document