Risk Assessment

2020 ◽  
pp. 47-75
Author(s):  
Maria Papanikou
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Big Data ◽  
Knowledge Management ◽  
Data Conversion ◽  
Perceptions Of Risk ◽  
Knowledge Based ◽  
Management Paradigms ◽  
Management Approaches ◽  
Aviation Risk

The chapter analyses knowledge management paradigms for the understanding and prioritisation of risks (risk assessment), leading to decision making amongst policymakers. Studies and approaches on knowledge-based risk assessment and, in general, risk management vary depending on perceptions of risk, and these perceptions affect the knowledge scope and, ultimately, affect decisions on policy. Departing from the problems of big data in aviation, the shortcomings of the existing knowledge management paradigms and the problems of data conversion to knowledge in aviation risk management approaches are discussed. The chapter argues that there is a need for transciplinarity and interdisciplinarity for greater understanding of context deriving from the challenges in the big data era and in aviation policymaking. In order to address the challenging dynamic context in aviation, the chapter proposes a strength/knowledge-based inquiry that involves public sector and high-power organisations in order to gain holistic knowledge and to aid the decision analysis of policymakers.

Social Media and Big Data

2017 ◽  
pp. 315-332 ◽  
Author(s):  
Meena Jha ◽  
Sanjay Jha ◽  
Liam O'Brien
Keyword(s):  
Social Media ◽  
Big Data ◽  
Knowledge Management ◽  
Social Interaction ◽  
Missed Opportunities ◽  
Media Technologies ◽  
Big Data Technologies ◽  
Management Paradigms ◽  
Online Social Interaction

The introduction of new and the evolution of existing social media technologies have enabled efficient and broader communication through online social interaction. Today consumers' thinking has shifted towards their trusted network for guidance rather than simply accepting what organisations tell them. With the advent of social interaction, knowledge management paradigms are being stretched beyond their ability to deliver useful results, which is forcing change within organisations globally. Using only transactional and internal data will result in mistaken conclusions or missed opportunities. Social media helps organisations acquire and manage massive amounts of data to better understand their customers, products, competition, and markets and make better decisions using Big Data solutions. These solutions enable organisations to decide on the basis of evidence rather than intuition. This chapter introduces Big Data, Big Data technologies used for capturing knowledge from social media and discusses Big Data Solutions for organizations.

Towards a Knowledge-Based Economy – the Case of Botswana A Discussion Article

2010 ◽  
Vol 2 (2) ◽  
pp. 53-62 ◽  
Author(s):  
Kelvin Joseph Bwalya
Keyword(s):  
Knowledge Management ◽  
National Development ◽  
Global Scale ◽  
Potential Contribution ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Main Driver ◽  
Management Paradigms ◽  
The Government

Botswana is keen to position itself as a knowledge-based economy as early as 2016 due to the realisation that to compete on a global scale, efficient knowledge value chains must be put in place, which includes indigenous knowledge management systems. This realisation is primarily caused by falling demand in the price of diamonds (due to the world’s recession), which is the country’s current economic mainstay. Today, Botswana is pushing for further economic liberalisation and diversification by employing and encouraging novel frontiers of knowledge with emphasis placed on research and efficient knowledge management as a vital resource for national development. In Botswana, the role of scientific and technical knowledge is being emphasized as the main driver of sustainable development, but not forgetting the potential contribution of indigenous and mythological knowledge to this aim. Several initiatives have been devised or implemented by both the government and the public sector to position Botswana as a knowledge-based economy. This paper surveys the fundamental concepts on which this paradigm shift is based and brings out the different initiatives that have been undertaken while emphasizing the role of research and efficient knowledge management paradigms in shaping Botswana as a knowledge-based economy.

The Development of a Knowledge Based System for the Process of Risk Assessment in the Workplace

2013 ◽  
Vol 446-447 ◽  
pp. 1314-1320 ◽  
Author(s):  
Petr Baron ◽  
Stanislava Šoltésová ◽  
Marek Kočiško
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Systematic Approach ◽  
Risk Identification ◽  
Point Of View ◽  
Assessment Process ◽  
Complex Method ◽  
Work Safety ◽  
Knowledge Based ◽  
Safety And Health

Paper describes possibilities of automatization of risk assessment process on technological workshops from work safety and health protection point of view. Proposed computer system could unload members of reviewing team from routine and repeating activities which are applied in process of risk identification and assessment of observed workplaces. Paper characterizes possibilities of work within form for application of Complex method of risk management on workshops. Developed system represents active part of systematic approach in frame of complex risk management.

scholarly journals A measurable approach for risk justification of explicit and tacit knowledge assessment

2019 ◽  
Vol 7 (1) ◽  
pp. 67-85
Author(s):  
Boštjan Delak ◽  
Christiaan Maasdorp
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Knowledge Management ◽  
Risk Factor ◽  
Life Cycle ◽  
Mitigation Strategies ◽  
Knowledge Assessment ◽  
Management Domain ◽  
Assessment Approach ◽  
Potential Risks

Knowledge has become a central organizing principle in society to the extent that knowledge management has become a mainstream activity in organizations. Nevertheless, knowledge-related risks remain relatively neglected in the risk management domain. Whilst knowledge reduces uncertainty and the associated risks, the increased knowledge intensity in organizations also represents a risk factor that has to be assessed. The paper describes and validates an organizational risk assessment approach that considers knowledge-related and knowledge management risks in an integrated manner. The approach makes it possible to calculate risk ratings in terms of vulnerability and likelihood for 50 threats to all activities and phases of the knowledge life cycle. These risk ratings are plotted against 24 potential risks in the human, organizational, and technical domains. To impress on management the significance of these knowledge-related risks, the risk ratings are transformed to approximated financial figures. The approach is applied to 10 Slovenian organizations, two of which are discussed in detail in the paper, to demonstrate that it can be successfully used in a wide variety of organizations. It is concluded that the approach offers a way to assess both knowledge-related and knowledge-management-related risks, that the costs that individual risks potentially hold can be approximated, and that for a diversity of organizations mitigation strategies can be suggested for the identified risks.

Knowledge and the Politics of Innovation

2012 ◽  
pp. 347-364
Author(s):  
Theodora Asimakou
Keyword(s):  
Knowledge Management ◽  
Innovation Management ◽  
Business Groups ◽  
Organizational Level ◽  
Knowledge Based ◽  
New Knowledge ◽  
Interview Participant ◽  
The Creation ◽  
Management Approaches ◽  
The Individual

The chapter discusses the relationship between knowledge management and innovation; specifically, it examines how knowledge in organizations affects the creation of new knowledge and what the implications are for innovation management. The core argument is that in a knowledge-based company, where competition is assessed at the edge of rare expertise and the development of innovations (Boisot, 1998; Drucker, 1993; Sveiby 1997), knowledge, which is always interwoven with power, becomes a precious resource, on the grounds of which struggles are inevitably enacted over its control (Foucault, 1980; Clegg, 1989). To argue this, the chapter brings together two related fields, knowledge management and innovation, which even though in principle they examine similar phenomena, i.e. the creation and sharing of new knowledge, in practice they appear disconnected (Asimakou, 2009b). To support the arguments, two innovation mechanisms in two business groups of a major oil company are discussed. The study used a set of qualitative techniques for data collection (in-depth interview, participant observation, documentary analysis) and a sample of 41 employees, which represented the groups participating in the innovation game (manager, scientists, assistant scientists, administration staff and students). I argue that two mainstream innovation management approaches (the rational planning and the cultural approach) have shaped the understanding and actions of the Business Groups in setting up the innovation mechanisms; however, power struggles at the individual, group and organizational level impacted upon the innovation processes to the extent that the latter became passive ‘technical solutions’.

Social Media and Big Data

2017 ◽  
pp. 1943-1960
Author(s):  
Meena Jha ◽  
Sanjay Jha ◽  
Liam O'Brien
Keyword(s):  
Social Media ◽  
Big Data ◽  
Knowledge Management ◽  
Social Interaction ◽  
Missed Opportunities ◽  
Media Technologies ◽  
Big Data Technologies ◽  
Management Paradigms ◽  
Online Social Interaction

The introduction of new and the evolution of existing social media technologies have enabled efficient and broader communication through online social interaction. Today consumers' thinking has shifted towards their trusted network for guidance rather than simply accepting what organisations tell them. With the advent of social interaction, knowledge management paradigms are being stretched beyond their ability to deliver useful results, which is forcing change within organisations globally. Using only transactional and internal data will result in mistaken conclusions or missed opportunities. Social media helps organisations acquire and manage massive amounts of data to better understand their customers, products, competition, and markets and make better decisions using Big Data solutions. These solutions enable organisations to decide on the basis of evidence rather than intuition. This chapter introduces Big Data, Big Data technologies used for capturing knowledge from social media and discusses Big Data Solutions for organizations.

scholarly journals Cyber Risk in IoT Systems

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David Charles De Roure ◽  
Carsten Maple ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Internet Of Things ◽  
The Internet ◽  
Incident Response ◽  
Open Questions ◽  
Response And Recovery ◽  
Management Approaches ◽  
Cyber Risk ◽  
The Internet Of Things

In this paper we present an understanding of cyber risks in the Internet of Things (IoT), we explain why it is important to understand what IoT cyber risks are and how we can use risk assessment and risk management approaches to deal with these challenges. We introduce the most effective ways of doing Risk assessment and Risk Management of IoT risk. As part of our research, we also developed methodologies to assess and manage risk in this emerging environment.  This paper will take you through our research and we will explain: what we mean by the IoT; what we mean by risk and risk in the IoT; why risk assessment and risk management are important; the IoT risk management for incident response and recovery; what open questions on IoT risk assessment and risk management remain.

scholarly journals Assessment Of User Authentication Risks In A Healthcare Knowledge Management System

2014 ◽  
Vol 14 (1) ◽  
pp. 95 ◽  
Author(s):  
Oluwole Adekanmbi ◽  
Paul Green
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Knowledge Management ◽  
Healthcare System ◽  
Management System ◽  
User Authentication ◽  
Assessment Model ◽  
Knowledge Management System ◽  
Support Tool ◽  
Management Procedure

Risk management is a concept which has becomes very popular with a number of national and international businesses. Many companies often establish a risk management procedure in their projects for improving performance and increasing profits. Projects undertaken in the construction sector are widely complex, often having significant budgets; therefore, reducing risks associated with projects should be a priority for each project manager. Patient information security has become a matter of interest to healthcare professionals, governments and researchers worldwide. This paper proposes a comprehensive risk assessment methodology that provides a decision support tool, directed to a healthcare system, which can be utilized for evaluating risk involved during user authorization and authentication procedures. Within this context, a process technique was implemented to develop a risk assessment model, which is used to derive the relative priorities of the risk factors associated with a healthcare knowledge management system. The study showed risks involved when users are accessing a healthcare system. It proposes a model for assessing each risk occurring during the user authorization and authentication process. The results of the knowledge generated from the risk assessment provide a basis for deriving a system performance that is desirable for evaluating risk.

A Cloud-Based Approach for Cross-Management of Disaster Plans

2019 ◽  
pp. 857-881 ◽  
Author(s):  
Samia Chehbi Gamoura
Keyword(s):  
Risk Assessment ◽  
Cloud Computing ◽  
Risk Management ◽  
Big Data ◽  
Comparative Analysis ◽  
Fuzzy Cognitive Map ◽  
Future Research ◽  
Extensive Literature ◽  
Business Network ◽  
Risk Assessment Methodology

With the democratization of Data management through Big Data and Cloud Computing, and the proliferation of business lines into complex networks, industries are ever more subject to disasters than ever. It is practically impossible to forecast their happening and degree of damages. Consequently, companies try to collaborate in integrating risk management in their information systems against downtimes. This chapter addresses this problem by outlining and discussing insights from the extensive literature review to produce a generic approach for cross-management. A set of prerequisites of disaster planning is also provided with comparative analysis and arguments. The proposed approach is focused on risk assessment methodology based on Fuzzy Cognitive Map. The method is able to aggregate all assessment variables of the whole stakeholders involved in the business network. The key findings of this study aim to assist enterprises in improving risk readiness capability and disaster recovery. Finally, we indicate the open challenges for further researches and an outlook on our future research.

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