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Contamination of Information Ecosystems

This piece by Amal Al Homosany explores the concept of information ecosystems, drawing parallels between these systems and organic ecosystems. It discusses key characteristics such as stability, dynamic interactions, and the role of various actors including customers and suppliers. The article emphasizes the importance of digitalization and the challenges faced by small and medium enterprises (SMEs) in adopting technology. It addresses the threats posed by malware and explores strategies within information ecosystems, including the Red Queen Hypothesis and the tragedy of the commons, highlighting the complexity of competitive interactions.

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Contamination of Information Ecosystems

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  1. Contamination of Information Ecosystems By: Amal Al Homosany

  2. What’s an info ecosystem? • A metaphor that compares info systems and their behaviors to organic ecosystems. • Info ecosystems include: • Actors • Inhabitants • Environment • Main characteristics of an info ecosystem are: • Stability • Dynamic Interactions • Scalability • Intelligence • Natural Selection of actors

  3. Inhabitants Inhabitants Interactions Interactions Interactions Customers Actors Customers Suppliers Suppliers Actors Inhabitants Inhabitants SME’s as an Info Ecosystem Digital SME Environment Ecosystem Products Services Services Product

  4. Small and Medium Enterprises (SMEs) • EU goals of turning towards a knowledge-based economy. • Digitalization of business processes. • 20 million SMEs in the EU countries. • Benefits of ICT for SMEs include: • New markets • Novel products • Skillful Value chain management • Customer Relationship Management

  5. Then…Why isn’t there pervasive use of technology among SMEs? • Focusing on core business operations • IT-resistance • Business culture • Cost-effectiveness • Security • Confidentiality • Integrity • Corporate privacy

  6. Malware… A threat to security • Two main categories of malware: • Distributed solely for a destructive purpose • Poses threats to stability and capacity of a system. • E.g. Viruses, worms, Trojans • Commercially driven malware • Spam messages, adware, spyware, etc.

  7. An Info Ecosystem Approach • Actors: • Machiavellian and Intelligent • E.g. Customers and Suppliers • Trustworthy vs. Malicious intents Selfish Competitors Evolution

  8. An Info ecosystem Approach (Cont’d) • Interactions • Arms race – escalation of competition • Evolutionary process of action and reaction. • Self-adjusting quality set to improve competitors’ skills. • Tragedy of Commons – exploitation of accessible resources • Common resources are misused by selfish actors. • Costs are spread across all the participants.

  9. Will definitely miss you all…..

  10. An Info ecosystem Approach (Cont’d) • Red Queen Hypothesis “It takes all the running you can do to keep in the same place…” • Evolution Survival • Consequences • Settled Conflicts – actors find a suboptimal solution • Chaotic Breakdown – competitors are outrun ending an arms race or tragedy of commons situation.

  11. An Info Ecosystems Model Machiavellian Interactions Consequences Actors (Red Queen Hypothesis) Settled Conflicts Arms Race Human or Digital Chaotic Breakdown Tragedy of the Commons Legislative Solutions

  12. Will miss you all………….

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