Risk analysis and management in projects
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Shubhika Gaur
Abstract
Indeed, according to the saying of masters, evaluating the risk and management is a fusion and obligatory step in the management of project that insures its triumph. Risk analysis and management is considered to be a very crucial part in the field of project management. It is based on the principle, that is, to minimize the cost-effective analysis about the effects and risks involved in the particular project. This chapter explains the various types of project management approaches based on the business strategy. This chapter also highlights the principles and methods that were developed to conceptualize, access, and manage risk. In the field of project management, for the effective and efficient management of the project, in-depth knowledge of the principles and methods of the risk analysis is much needed at every aspect of the project management. Risk assessment and management life cycle has encountered very pivotal importance in today’s competitive era. As competition is increasing day by day, this risk analysis can be done in a proper way for the smooth functioning of the business. Although this chapter emphasizes that there are various methodologies available for companies, they have to use them carefully, cleverly, and efficiently during the whole project management.
Abstract
Indeed, according to the saying of masters, evaluating the risk and management is a fusion and obligatory step in the management of project that insures its triumph. Risk analysis and management is considered to be a very crucial part in the field of project management. It is based on the principle, that is, to minimize the cost-effective analysis about the effects and risks involved in the particular project. This chapter explains the various types of project management approaches based on the business strategy. This chapter also highlights the principles and methods that were developed to conceptualize, access, and manage risk. In the field of project management, for the effective and efficient management of the project, in-depth knowledge of the principles and methods of the risk analysis is much needed at every aspect of the project management. Risk assessment and management life cycle has encountered very pivotal importance in today’s competitive era. As competition is increasing day by day, this risk analysis can be done in a proper way for the smooth functioning of the business. Although this chapter emphasizes that there are various methodologies available for companies, they have to use them carefully, cleverly, and efficiently during the whole project management.
Chapters in this book
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
Chapters in this book
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
