Bachelorarbeit, 2010
59 Seiten, Note: 1,3
1 Introduction and Organization
2 Understanding of Risk in Sociology
2.1 The concept of risk society from Ulrich Beck
2.2 Risk as a Collective Construct from the Culture
2.3 Risk in the Context of Communications and Systems Theory from Luhmann
2.4 Risk and Govermantiality
3 Risks in Information Systems
3.1 Risks in Software Project Management
3.1.1 Definition of Project, Project Risks and Some Categorization
3.1.2 Management Understanding of Risk and their Limitation
3.1.3 Risk Management in Software Projects
3.1.4 Effect of Coordination and Uncertainty on Software Project Performance
3.1.5 Risk Categories and their Effect on Product and Process Performance
3.1.6 Critical Risks in Outsourced IT projects
3.1.7 Risk Factors, Categories and their Observance
3.1.8 Contingency Model of Software Project Risk Management
3.1.9 Risk Perception and Risk Propensity on the Decision to Continue a Project
3.2 Risks in the Field of IT Security
3.2.1 Development and Progress of IT Security: From Past to Present
3.2.2 Categorization of IT Security Threats
3.2.3 Ranking and Perception of IT Threats
3.2.4 Risk Perception: The Technology Threat Avoidance Theory
3.2.5 Risk Perception Amongst Managers
3.2.6 User Participation in IS Security Risk Management
3.2.7 IT Security From an Entrepreneurial Standpoint
3.2.8 Differences in Computer Ethics
4 Comparison of Risk understanding in Information Systems and Sociology
4.1 Comparison of Risk Characteristics
4.2 The Culture Theory in Information Systems
4.3 Risk Perception, Risk Environment and Risk Transformation
5 Discussion and Outlook
The primary objective of this work is to identify and compare the sociological understanding of risk with the practical application and perception of risk within the fields of Information Systems, specifically Software Project Management and IT Security. It explores how sociological frameworks can be transferred to IT environments to explain organizational risk cultures and user behaviors.
3.1.2 Management Understanding of Risk and their Limitation
The risk-based understanding of information systems goes back to the management theory of the 80‘s (Bannerman 2008, 2). March and Shapira (March/Shapira 1987, 1-15) compared the traditional risk and decision theory with the decisions of managers from Canadian firms. At that time, risk was seen as a variation of the probability of a positive or negative result from a previous decision. Risk is still sometimes viewed in this light. 80% of managers only see negative consequences from risks. Results with a low probability are ignored due to a significance threshold. However, if the result has a significant consequential loss or risk, it falls back into the focus of the observer. Decisions with positive results are only linked with the decision-making alternatives. The best possible alternative is selected and a conclusion is drawn that it will have the most positive outcome. Managers float in the idea that they can control risk and that it therefore poses no danger. Risk perspective is not just a personal preference. Social norms and organizational expectations have a significant impact on the observer. As a result, the behavior of the manager is different from the management theory.
The findings of March and Shapira are transferred to software development. Bannerman (Bannerman 2008, 2-3) describes dealing with risk in software projects as identifying all possible risk factors before the project begins in order to reduce the probability of a negative result occurring. The identified risks are then estimated in order to find those with the most negative influence. These high risk factors are precisely controlled in order to avoid a potential loss. This process is constantly updated and maintained. However, risks can only be minimized by consulting predefined danger lists or by reaching a threshold. Bannerman sees four limitations based on this view of risk.
1 Introduction and Organization: This chapter outlines the motivation for the study, establishing the connection between sociological risk theory and modern Information Systems challenges.
2 Understanding of Risk in Sociology: This section provides a theoretical overview of risk, covering objectivist and constructivist views from key thinkers like Beck, Douglas, Luhmann, and Foucault.
3 Risks in Information Systems: This chapter analyzes how risk is managed and perceived in Software Project Management and IT Security, including specific models like TTAT and contingency frameworks.
4 Comparison of Risk understanding in Information Systems and Sociology: This section synthesizes the findings, comparing sociological constructs with IT management practices to identify how culture influences risk perception.
5 Discussion and Outlook: The conclusion summarizes how sociological insights can enhance corporate risk culture and suggests directions for future research into the alignment of risk management with organizational values.
Social risk theory, risk sociology, IT security risk, software project risk, Ulrich Beck, Niklas Luhmann, Mary Douglas, Michel Foucault, risk perception, grid-group model, IT security, software development, risk management, culture theory, corporate risk culture.
The paper examines the relationship between sociological theories of risk and the practical risk management approaches found in Information Systems, particularly within software project management and IT security.
The main themes include the definition and sociological categorization of risk, practical risk management strategies in software projects, IT security threats, and the role of organizational culture in shaping risk perception.
The goal is to bridge the gap between abstract sociological risk theories and applied IT risk management to better understand why organizations and individuals perceive and react to risks in specific, often culturally conditioned, ways.
The research primarily utilizes a comparative, theory-based analytical approach. It synthesizes literature from both sociology and information systems to establish a conceptual framework for interpreting risk management practices.
The main body details the theoretical perspectives of sociologists (Beck, Luhmann, Douglas, Foucault) and analyzes technical risk management methods such as risk checklists, process models, and the Technology Threat Avoidance Theory (TTAT).
Key terms include social risk theory, risk sociology, IT security risk, software project risk, and organizational culture.
Following Luhmann and others, the author distinguishes between risk (attributable to personal decisions) and danger (attributed to the external environment), arguing that security measures often create an "illusion of safety."
The grid-group model is used to classify different forms of social organization and their specific risk perceptions, which the author subsequently applies to explain varying levels of security policy adherence within corporate environments.
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