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Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan
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 im...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313559/ https://www.ncbi.nlm.nih.gov/pubmed/30544770 http://dx.doi.org/10.3390/ijerph15122816 |
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author | Karamat, Jawad Shurong, Tong Ahmad, Naveed Waheed, Abdul Mahmood, Kashif |
author_facet | Karamat, Jawad Shurong, Tong Ahmad, Naveed Waheed, Abdul Mahmood, Kashif |
author_sort | Karamat, Jawad |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6313559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63135592019-06-17 Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan Karamat, Jawad Shurong, Tong Ahmad, Naveed Waheed, Abdul Mahmood, Kashif Int J Environ Res Public Health Article 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. MDPI 2018-12-10 2018-12 /pmc/articles/PMC6313559/ /pubmed/30544770 http://dx.doi.org/10.3390/ijerph15122816 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Karamat, Jawad Shurong, Tong Ahmad, Naveed Waheed, Abdul Mahmood, Kashif Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan |
title | Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan |
title_full | Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan |
title_fullStr | Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan |
title_full_unstemmed | Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan |
title_short | Enablers Supporting the Implementation of Knowledge Management in the Healthcare of Pakistan |
title_sort | enablers supporting the implementation of knowledge management in the healthcare of pakistan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313559/ https://www.ncbi.nlm.nih.gov/pubmed/30544770 http://dx.doi.org/10.3390/ijerph15122816 |
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