Strategic Enterprise Resource Planning in a Health-Care System Using a Multicriteria Decision-Making Model

2009 ◽  
Vol 35 (2) ◽  
pp. 265-275 ◽  
Author(s):  
Chang Won Lee ◽  
N. K. Kwak
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care System ◽  
Enterprise Resource Planning ◽  
Multicriteria Decision Making ◽  
Resource Planning ◽  
Multicriteria Decision ◽  
Decision Making Model ◽  
Care System

scholarly journals Unmasking a health care system: the Dutch policy response to the Covid-19 crisis

2021 ◽  
pp. 1-10 ◽  
Author(s):  
Iris Wallenburg ◽  
Jan-Kees Helderman ◽  
Patrick Jeurissen ◽  
Roland Bal
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care System ◽  
Health Care Systems ◽  
Economic Policies ◽  
Hard Time ◽  
Dutch Health ◽  
Care Systems ◽  
Policy Systems ◽  
Care System

Abstract The Covid-19 pandemic has put policy systems to the test. In this paper, we unmask the institutionalized resilience of the Dutch health care system to pandemic crisis. Building on logics of crisis decision-making and on the notion of ‘tact’, we reveal how the Dutch government initially succeeded in orchestrating collective action through aligning public health purposes and installing socio-economic policies to soften societal impact. However, when the crisis evolved into a more enduring one, a more contested policy arena emerged in which decision-makers had a hard time composing and defending a united decision-making strategy. Measures have become increasingly debated on all policy levels as well as among experts, and conflicts are widely covered in the Dutch media. With the 2021 elections ahead, this means an additional test of the resilience of the Dutch socio-political and health care systems.

scholarly journals A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Location Selection ◽  
Logistics Center ◽  
Multicriteria Decision ◽  
Model Based ◽  
Center Location ◽  
Decision Making Model

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

scholarly journals Multicriteria Decision Making Model for the New Team Member Selection Based on Individual and Group-Related Factors

2011 ◽  
Vol 3 (2) ◽  
pp. 103-114
Author(s):  
Jakub Wojnar
Keyword(s):  
Decision Making ◽  
Team Member ◽  
Team Building ◽  
Multicriteria Decision Making ◽  
Individual Characteristics ◽  
Related Factors ◽  
Multicriteria Decision ◽  
Novel Approach ◽  
Member Selection ◽  
Decision Making Model

Multicriteria Decision Making Model for the New Team Member Selection Based on Individual and Group-Related FactorsThis paper presents a novel approach to the team building emphasizing group-related attributes of potential candidates instead of focusing on their individual characteristics during the recruitment process. The main assumption is that the teamwork capabilities are equally if not more important than individual skills or competences when selecting new team member. Myers-Briggs Type Indicator is used for analyzing teamwork capabilities and multicriteria decision making model will be developed as a final solution.

scholarly journals Social and Health System Complexities Impacting on Decision-Making for Utilization of Oncology and Palliative Care in an African Context: A Qualitative Study

2019 ◽  
Vol 35 (3) ◽  
pp. 185-191 ◽  
Author(s):  
David A. Agom ◽  
Stuart Allen ◽  
Sarah Neill ◽  
Judith Sixsmith ◽  
Helen Poole ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Palliative Care ◽  
Qualitative Study ◽  
Health Care System ◽  
Health Care Professionals ◽  
Care Delivery ◽  
Semistructured Interview ◽  
Design Data ◽  
Care System

Background: There is a dearth of research focusing on identifying the social complexities impacting on oncology and palliative care (PC), and no study has explored how the health-care system in Nigeria or other African contexts may be influencing utilization of these services. Aim: This study explored how social complexities and the organization of health-care influenced the decision-making process for the utilization of oncology and PC in a Nigerian hospital. Methods: This qualitative study used an interpretive descriptive design. Data were collected using semistructured interview guides with 40 participants, comprising health-care professionals, patients, and their families. Thematic analysis was conducted to generate and analyze patterns within the data. Findings: Three themes were identified: dysfunctional structural organization of the health-care delivery system, service-users’ economic status, and the influence of social networks. The interrelationship between the themes result in patients and their family members decisions either to present late to the hospital, miss their clinical appointments, or not to seek oncological health care and PC. Conclusion: This article offers insights into the role of the health-care system, as organized currently in Nigeria, as “autoinhibitory” and not adequately prepared to address the increasing burden of cancer. We therefore argue that there is a need to restructure the Nigerian health-care system to better meet the needs of patients with cancer and their families as failure to do so will strengthen the existing inequalities, discourage usage, and increase mortality.

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