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Dissertation, AI Into Business Affordances, What a literature review for a…

- - - - Distantly related to your work / Background - more to do with your topic area than your research question
        
        Closer to your topic, but not matched directly / Narrow categories, you may deal with sources in more detail
        
        Very relevant to your work / Categories close to your research (maybe looking at a few key papers in more detail
        
        Your research question
- - - - Introduction: Provide background information on the topic, including the increasing importance of AI in modern businesses and the relevance of affordance theory in understanding technology's impact on organizations. Clearly state your research question(s) and objectives, as well as the scope and limitations of your study.
        
        Literature Review: Review relevant literature on affordance theory, AI implementation in business contexts, and the relationship between technology and organizational change. Discuss key concepts, theories, and empirical studies that inform your research.
        
        Conceptual Framework: Develop a conceptual framework based on affordance theory that explains how AI technologies can be introduced and integrated into a business. Include key constructs, relationships, and propositions that guide your analysis.
        
        Case Studies: Present one or more case studies that illustrate the application of affordance theory in the context of AI implementation in a business. Analyse the affordances provided by the AI technology, the challenges and opportunities it presents, and the ways in which the organization responded to these affordances.
        
        Data Collection and Analysis: Describe the methods used to collect data for your case studies, such as interviews, surveys, or document analysis. Explain how you analysed the data using affordance theory concepts and techniques.
        
        Findings: Summarize the main findings from your case studies, highlighting the affordances provided by AI technology, the organizational responses to these affordances, and any observed outcomes or impacts.
        
        4 more items...
        
        Cyber Awareness
        Programme
        
        Survey Data
        
        Empirical Data
        
        Affordance Data?
        
        Exploration of the Problem
        Through Empirical Data
        
        Using Sample Datasets
        
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        Interpret Business Potential
        
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        Communicate with Information
        Visualisation to Inform Decision Making
        
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        Virtual Assistant
        
        Indirect
        
        Operational
        Deployment
        
        Workplace
        Training
        
        Computation?
        
        A Range of Complex Innovations
        
        More Innovations?
        
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        Consider Intra and Inter Organisational
        Dynamics & Implications for Both
        Business and Society
        
        Apply Innovation Management
        Knowledge
        
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        Review Existing Frameworks and
        Look for Gaps
        
        Apply a Technological Framework
        How Does This
        Enable/Constrain the Business?
        
        Prioritise Digital Assets
        
        Critically Evaluate Macro-Level Challenges
        Disruptive Technology Creates for
        Businesses in the Digital Economy
        
        Prioritise Cyber Security
        
        Design Cyber Awareness Programmes
        from a Management Perspective
        
        Library Search
        Affordance Theory
        AI introduction into Business
        AI and Affordance Theory
        AI and Cyber Security (& Affordances
        
        Include literature search findings
        e.g., method, number of journals
        
        Grounded on a Critical
        Review of Existing Literature
        
        Identify a Key
        Organisational
        in the context of DX
        
        The Organisation
        
        Competitors
        
        The Environment
        
        Maintaining a Privacy-Respectful Manner
        and Applying Anonymisation Principles
        
        Develop Insights from Digital
        Analysis on Social Media
      - Review Disruptive/Frontier
        Technology at a Sociotechnical Level
- - - - PC7: Critically evaluate different information visualisation approaches and apply them using software (eg Tableau or other) by using sample datasets provided in order to interpret business decision potential. Learn how to communicate with information visualisation experts and design pathways to information for decision making.
        
        PC8: Understand the social, ethical and compliance-oriented challenges of disruptive technologies and take an international perspective in reflecting on their impact onto businesses and societies; apply data ethics principles to technology problems.
        
        PC9: Develop insights from digital analysis on social media data about the organisation, its environment, and competitors from a customer viewpoint, while maintaining a privacy-respectful manner by applying anonymisation principles and frameworks
        
        PC14: Apply consistently the concepts, theories and implications of digital innovation, adoption underpinning implementation and strategies, including critical awareness of issues informed by leading edge research and practice in the field
        
        PC15: Apply relevant knowledge of innovation management to a range of complex situations, taking account of intra and inter organisational dynamics and implications for businesses and society.
        
        PC16: Assess organisational issues and develop structural perspectives following implementation and adoption of innovation
        
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- - - - Refine Your Search
        
        Save Your Search Strategy
- - - - Synthesise and evaluate
        
        Some papers not used depending on arguement