scholarly journals Developing Framework and Strategies for Capacity Building to Apply Evidence-Informed Health Policy-making in Iran: Mixed Methods Study of SAHSHA Project

2021 ◽  
Author(s):  
Mahdi Mahdavi ◽  
Javad Sajjadi Khasraghi ◽  
Haniye Sadat Sajadi ◽  
Bahareh Yazdizadeh ◽  
Sima Nikooee ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Decision Support ◽  
Literature Review ◽  
Health System ◽  
Capacity Building ◽  
Expert Panel ◽  
Management Team ◽  
Decision Makers ◽  
Policy Options ◽  
Healthcare Organizations

Background: SASHA, which stands for "Evidence-Informed Health Policymaking (EIHP)" in Persian, is a national project to draw a roadmap for strengthening EIHP in Iran. As a part of SASHA, this research aimed to develop evidence-based and context-aware policy options for increasing the capacity of decision-makers to apply EIHP in Iran. Methods: This was a qualitative study, which was informed by a literature review of pull efforts’ capacity building programs (CBPs). Based on the review, we developed policy options and validated them through an expert panel that involved twelve experts. Data were analyzed using a content analysis method. Results: We extracted data from 11 articles. The objectives of CBPs were: single-skill development, personal/professional development, and organizational development. According to these objectives, the contents and training methods of the programs vary. CBPs have shown positive impacts on individual knowledge/attitudes to use EIHP. However, the impacts of programs at the organizational or the health system level remain under-researched. We followed several threads from the literature review through to the expert panel that included training the management team, instead of training managers, training for problem-solving skills, and designing tailored programs. Barriers of capacity building for EIHP regard the context of the health system (weak accountability and the widespread conflict of interest) and healthcare organizational structures (decision support systems, knowledge management infrastructures, and lack of management team). Experts suggested interventions on the barriers, particularly on resolving the conflict of interests before launching new programs. A proposed framework to increase the capacity of health policymakers incorporates strategies at three levels: CBP, organizational structure, and health system context. Conclusion: To prepare the context of Iranian healthcare organizations for CBPs, the conflict of interests needs to be resolved, decision-makers should be made more accountable, and healthcare organizations need to provide more knowledge management infrastructures and decision support systems.

scholarly journals Capitalising Experiential Knowledge for Guiding Construction Procurement Selection

2012 ◽  
Vol 5 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Thomas Ng ◽  
Chris Luu ◽  
Martin Skitmore
Keyword(s):  
Knowledge Management ◽  
Decision Support ◽  
Construction Project ◽  
Experiential Knowledge ◽  
Decision Makers ◽  
Management Model ◽  
Case Based Reasoning ◽  
Useful Knowledge ◽  
Procurement System ◽  
Case Based

Capitalising useful knowledge for construction procurementselection (CPS) decisions would provide a valuable asset to clientorganisations, as the successful/unsuccessful experience wouldhelp decision-makers avoid the occurrence of similar errors andensure the most suitable procurement system is employed fora construction project. As a result, there is a need to examinethe potential for developing a knowledge management model tocapture and reuse experiential knowledge to guide CPS decisions.This paper begins by identifying a suitable approach for managingCPS knowledge. This is followed by a discussion of the knowledgerequired for CPS decision support. A prototype knowledgemanagementmodel is developed, using the case-based reasoning(CBR) approach, and a mechanism for the retrieval and reuse ofknowledge for guiding CPS decisions is elucidated. The resultsindicate that CBR is a suitable tool for formulating the procurementselection parameters and selecting a suitable procurementsystem for a construction project. This is primarily becausethe CBR approach is flexible enough to allow closely matchinghistoric cases to be retrieved as well as enabling the decisionmakerto adapt the proposed solution based on the predominantcharacteristics of the client, project and external environmentpertinent to the current project.

The Launch of Web-based Collaborative Decision Support at NASA

2008 ◽  
pp. 113-125
Author(s):  
Irma Becerra-Fernandez ◽  
Matha Del Alto ◽  
Helen Stewart
Keyword(s):  
Knowledge Management ◽  
Decision Support ◽  
Decision Makers ◽  
Web Based ◽  
Management Platform ◽  
Individual Person ◽  
Mission Critical ◽  
Multiple Domains ◽  
Collaborative Decision

Today, organizations rely on decision makers to make mission-critical decisions that are based on input from multiple domains. The ideal decision maker has a profound understanding of specific domains coupled with the experience that allows him or her to act quickly and decisively on the information. Daily, decision makers face problems and failures that are too difficult for any individual person to solve; therefore, teams are now required who share their knowledge in spontaneous collaborations. Since requisite expertise may not all reside in the same organization, nor be geographically colocated, virtual networked teams are needed. This chapter presents a case study describing the development and use of Postdoc, the first Web-based collaborative and knowledge management platform deployed at NASA.

scholarly journals Horizontal collaboration in the freight transport sector: barrier and decision-making frameworks

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Ahmed Karam ◽  
Kristian Hegner Reinau ◽  
Christian Richter Østergaard
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Decision Support ◽  
Literature Review ◽  
Freight Transport ◽  
Decision Makers ◽  
Transport Sector ◽  
Decision Making Process ◽  
Transport Networks ◽  
Collaborative Decision

AbstractIn the freight transport sector, competing companies horizontally collaborate through establishing Collaborative Transport Networks (CTNs). Fruitful implementation of CTNs will leverage environmental and socio-economic goals of sustainable development in the freight transport sector. The benefits of CTNs in horizontal collaborative settings have been widely demonstrated through several modelling approaches. However, in practice, the real applications of CTNs have been challenging and most did not achieve satisfactory performances. Some studies have addressed this issue by identifying different barriers to CTN implementation. However, a conceptual framework for the barriers is not well-established. In addition, the literature lacks a decision-making framework for the CTN implementation which considers the different barriers. To address this gap, this paper conducted a literature review of the barriers to CTN implementation. In total, 31 different barriers were identified. A conceptual barrier framework is developed by grouping the 31 barriers into five categories: the business model, information sharing, the human factors, the Collaborative Decision Support Systems (CDSSs), and the market. The paper additionally proposes a stage-gate model integrating the conceptual barrier framework into the CTN implementation decision-making process. The current work contributes to the existing literature by developing both theoretical and practical understandings of the barriers to implementing CTNs and will support decision makers in CTN implementation to maximize the CTN benefits and minimize the risk of CTN failure.

The Launch of Web-Based Collaborative Decision Support at NASA

2010 ◽  
pp. 218-230 ◽  
Author(s):  
Irma Becerra-Fernandez ◽  
Martha Del Alto ◽  
Helen Stewart
Keyword(s):  
Knowledge Management ◽  
Decision Support ◽  
Decision Makers ◽  
Web Based ◽  
Management Platform ◽  
Individual Person ◽  
Mission Critical ◽  
Multiple Domains ◽  
Collaborative Decision

Today, organizations rely on decision makers to make mission-critical decisions that are based on input from multiple domains. The ideal decision maker has a profound understanding of specific domains coupled with the experience that allows him or her to act quickly and decisively on the information. Daily, decision makers face problems and failures that are too difficult for any individual person to solve; therefore, teams are now required who share their knowledge in spontaneous collaborations. Since requisite expertise may not all reside in the same organization, nor be geographically colocated, virtual networked teams are needed. This chapter presents a case study describing the development and use of Postdoc, the first Web-based collaborative and knowledge management platform deployed at NASA.

A Case Study of Web-Based Collaborative Decision Support at NASA

2009 ◽  
pp. 231-243
Author(s):  
Irma Becerra-Fernandez ◽  
Martha Del Alto ◽  
Helen Stewart
Keyword(s):  
Knowledge Management ◽  
Decision Support ◽  
Decision Makers ◽  
Web Based ◽  
Management Platform ◽  
Individual Person ◽  
Mission Critical ◽  
Multiple Domains ◽  
Collaborative Decision

Today, organizations rely on decision makers to produce “mission critical” decisions that are based on inputs from multiple domains. The ideal decision maker has a profound understanding of specific domains, coupled with the experience that allows them to act quickly and decisively on the information. Daily they face problems and failures that are too difficult for any individual person to solve; therefore, teams are now required to share their knowledge in spontaneous collaborations. Since requisite expertise may not all reside in the same organization, nor be geographically colocated, virtual networked teams are needed. This paper presents a case study describing the development and use of Postdoc, NASA’s Web-based collaborative and knowledge management platform.

Leveraging previously reported research to create a decision support tool for institutional facility maintenance

2019 ◽  
Vol 17 (3) ◽  
pp. 249-266
Author(s):  
Michael A. Beauregard ◽  
Steven K. Ayer
Keyword(s):  
Decision Support ◽  
Literature Review ◽  
Decision Support Tool ◽  
Facility Management ◽  
Decision Makers ◽  
Content Type ◽  
Support Tool ◽  
Facility Maintenance ◽  
K 12 ◽  
Work Orders

Purpose The discretionary expense budget required to maintain public infrastructure has declined in recent years, even as public expectations and accountability for performance have increased. The purpose of this paper is to leverage previously reported research to create a decision support tool (DST) for prioritizing institutional facility maintenance. Design/methodology/approach A structured literature review was developed to identify critical aspects of facility maintenance shown to have a positive relationship with academic performance in K-12 schools within the USA. Analytical hierarchy process (AHP) serves as a framework for a multi-criteria DST based on the findings of the literature review. Finally, a targeted focus group of industry professionals was used to validate the usability of the resulting DST. Findings The framework for the DST developed for this study effectively represents the scale and scope of an institutional facility. Results of the study suggest that when evaluating multi-criteria work orders, the proposed visual AHP methodology can be used to generate usable DSTs to assist with the prioritization of work. Practical implications This study provides a methodology for building a multi-criterion DST leveraging precedent research, using a visual AHP to assist facility management (FM) decision-makers in the prioritization of routine work orders. Originality/value The developed process indicates a practical approach to incorporating disparate research findings into a concise and useable manner to guide FM decision-makers, who have traditionally not been able to explicitly leverage this information to make evidence-based spending decisions.

scholarly journals Evaluation in healthcare organizations: a literature review about innovation assessment

2021 ◽  
Vol 13 (12) ◽  
pp. e9290
Author(s):  
Breitner Gomes Chaves ◽  
Catherine Briand ◽  
Khayreddine Bouabida ◽  
Carol Giba Bottger Garcia
Keyword(s):  
Literature Review ◽  
Innovation Process ◽  
Decision Makers ◽  
Health Evaluation ◽  
Healthcare Organizations ◽  
Implementation Phase ◽  
Definition Of Health ◽  
Definition Of ◽  
Implementation Of Innovations

Objective: This article identifies and provides the reader with the basis for evaluating the innovations proposed in healthcare organizations and highlights determinants to consider when implementing them. Bibliographic review: There is no complete, exhaustive, and absolute definition of health evaluation. Several evaluative approaches and tools were identified. They can be adapted and used according to the evaluator's evaluative objectives, paradigms, and theoretical influences. Moreover, essential concepts regarding the implementation of innovations were considered and synthesized, allowing the reader to understand the complexity of this phase and its impact on the success of innovations. Final considerations: Although the evaluative field is broad and has several distinct concepts, this article presents a synthesis of concepts that would support decision-makers in evaluating their organization's innovation process. Furthermore, the present paper enables a better understanding of the risks of success or failure of interventions (or innovation) from a comprehensive perspective of the critical determinants in the implementation phase.

Decision Support Research in Warehousing and Distribution: A Systematic Literature Review

2020 ◽  
Vol 19 (03) ◽  
pp. 653-693
Author(s):  
Tania Binos ◽  
Arthur Adamopoulos ◽  
Vince Bruno
Keyword(s):  
Decision Support ◽  
Literature Review ◽  
Decision Support Systems ◽  
Real Time ◽  
Support Systems ◽  
Value Added ◽  
Research Literature ◽  
Decision Makers ◽  
Warehousing And Distribution ◽  
Support Research

The increase in e-commerce and omnichannel commerce is having a significant impact on the supply chain sector and its warehouses. Fluctuations in demand and priorities, the requirement for value-added service, government regulations and other factors put pressure on the operational decision makers on the warehouse floor and the systems that support them. The increasing complexity of daily warehouse operations means that decision support systems will need to become more sophisticated and intelligent to assist decision makers in real-time. The aim of this literature review is to investigate how decision support in warehousing and distribution operations is examined in the research literature. The objective of this review is to understand how this decision support research can assist operational decision makers to manage and complete the daily volume of work through the warehouse. Fifty-one articles were obtained by the literature search. Articles were categorized by type of warehouse, decision support target, operational task and problem type, research article methodology, architecture and technology. Decision support is examined in almost all areas of warehousing operations with the use of a variety of methods and technologies within the research literature. Most “daily warehouse operational” decision support deals with expertise transfer and reacting to real-time events. This paper highlights the lack of research into human–machine collaboration in adaptive decision support systems to assist warehouse operational decision makers.

Critical Factors for the Creation of Learning Healthcare Organizations

2011 ◽  
pp. 47-61
Author(s):  
Nilmini Wickramasinghe
Keyword(s):  
Health Care ◽  
Knowledge Management ◽  
Organizational Learning ◽  
Health System ◽  
Hurricane Katrina ◽  
Healthcare Organization ◽  
Healthcare Organizations ◽  
Management Technology ◽  
Knowledge Intensive ◽  
Human Side

The need to transform the U.S. healthcare system became clear during the aftermath of Hurricane Katrina. Katrina was not an unexpected disaster nor was it an exceptionally large event. And yet in the wake of Katrina the loss of life was tragic and emergency health care following the storm was severely hampered by the lack of paper health records that had been washed away or ruined. What is required is a transformation of the current health system to an intelligent health system that maximizes technology and utilizes valuable knowledge assets. To effect such a change healthcare organizations must become learning organizations. The objective of this chapter is to provide a link between principles of organizational learning and knowledge management in order to build the learning healthcare organization. The major thrust of this approach is that the human side of the organization must lead knowledge management technology and not the other way around. The chapter distinguishes between organizational learning as a structure laying the foundation for learning, and the learning organization as a process for maintaining and perpetuating continuous improvement in the organization supported by incorporating a process-centric view of knowledge management (KM) realized through the establishment of a KM infrastructure. Moreover, it emphasizes that since health care is a knowledge intensive industry knowledge management is an integral component in building the learning healthcare organization.

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