Acquiring
The Art and Science of Information Gathering
The Drive for Information Acquisition
🔍 The Fundamental Motivation
The overriding factor that motivates individuals and organizations to acquire information is the gap between what is known and what is knowable. This desire to bridge knowledge deficits drives the entire acquisition process.
As the theory of information value suggests: “The more information you use, the more information you need. The need for information grows with the use of information.”
Stockpile
Existing Information
Gap
Knowledge Deficit
Acquire
Information Gathering
Knowing
Enhanced Understanding
Motivations for Information Acquisition
| Entity | Motivation | Reasons | Pros | Cons |
|---|---|---|---|---|
| Individual | Education & Learning | Personal growth, skill enhancement, continuous learning | Increased knowledge, expanded horizons | Time-consuming, information overload, potential distractions |
| Individual | Decision Making | Informed choices, evidence-based decision-making | Better outcomes, reduced risks | Information bias, conflicting sources |
| Individual | Problem Solving | Understanding issues, exploring solutions | Effective problem-solving, innovative thinking | Limited resources, incomplete information |
| Individual | Research & Innovation | Advancing knowledge, exploring new ideas | Scientific progress, technological advancements | Need for expertise, resource-intensive |
| Individual | Personal/Social Awareness | Staying updated, understanding diverse perspectives | Enhanced empathy, social cohesion | Information overload, potential biases |
| Individual | Curiosity/Interest Driven | Exploring personal interests, satisfying curiosity | Intellectual stimulation, personal satisfaction | Distraction from important tasks, time-consuming |
| Community | Decision Making | Collective choices, community development | Informed decision-making, community engagement | Disagreements, differing priorities |
| Community | Problem Solving | Addressing community issues, finding solutions | Effective problem-solving, community empowerment | Limited resources, diverse perspectives |
| Community | Communication/Collaboration | Sharing information, building partnerships | Enhanced communication, collective action | Miscommunication, information privacy |
| Community | Personal/Social Awareness | Understanding local issues, promoting social change | Informed civic engagement, community empowerment | Information overload, apathy |
| Enterprise | Market Research | Understanding customer needs, identifying market trends | Improved products/services, competitive advantage | Market volatility, data privacy concerns |
| Enterprise | Decision Making | Strategic planning, business development | Informed decisions, growth opportunities | Information bias, resource constraints |
| Enterprise | Innovation and Creativity | Product/service innovation, exploring new markets | Competitive edge, revenue growth | R&D costs, market uncertainties |
| Enterprise | Compliance and Accountability | Regulatory requirements, quality assurance | Legal compliance, reputation management | Compliance costs, reputational risks |
| Enterprise | Communication/Collaboration | Internal/external communication, partnerships | Effective collaboration, market outreach | Miscommunication, information leakage |
Information Processing Theory
🧠 Beyond Individual Cognition
While traditional information processing theory focuses on “how information is encoded into memory” at the individual level, we extend this framework to organizational and macro-level processing.
Organizations, like individuals, follow four primary stages of information processing that create systematic pathways from acquisition to knowing.
📥 Acquisition & Retrieval
Individuals receive or seek information from internal sources (knowledge bases, experts) or external sources (third-party entities, research). This stage involves both active seeking and passive reception of information.
GHA Application: Distributed sensor networks acquiring real-time climate data across multiple African nations.
💾 Storage & Organization
Information is stored in various media (computers, databases, servers) to ensure accessibility for organizational learning and future reference. Proper storage enables learning from past experiences.
GHA Application: Continental data lakes preserving historical agricultural patterns and climate trends.
🔄 Transformation & Analysis
Information is modified, analyzed, expanded, or compressed to support decision-making. This includes deriving new insights and preparing information for specific contexts and applications.
GHA Application: AI systems transforming raw economic data into actionable policy recommendations.
📤 Transmission & Distribution
Processed information is distributed to relevant stakeholders through reporting, presentations, and digital platforms, completing the information value chain.
GHA Application: Multi-channel dissemination systems delivering tailored agricultural advice to farmers.
Key Driving Factors for Acquisition
🆕 Need for New Information
The Primary Driver: The fundamental desire to know motivates investment in acquiring new information.
Necessary Condition: Awareness of information availability and potential uses
Sufficient Condition: Capacity to acquire, transform, and utilize information effectively
GHA Context: Building digital literacy and technical capacity to leverage new climate adaptation data.
📈 Addition to Existing Information
Enhancement Motivation: The desire to augment existing knowledge stockpiles with additional dimensions and perspectives.
Theoretical Basis: As information dimensions increase, so does potential knowing and insight generation.
Strategic Value: Enhanced knowledge discovery through multi-dimensional information integration.
GHA Context: Integrating traditional ecological knowledge with modern scientific data.
🧩 Completing Missing Information
Completion Imperative: The drive to fill critical gaps in existing knowledge frameworks.
Trigger Conditions: Timing constraints, resource availability changes, or new information accessibility
Strategic Importance: Complete information enables more accurate and comprehensive knowing.
GHA Context: Filling data gaps in rural healthcare access and outcomes measurement.
Pull Acquisition
Knowledge seekers actively pulling information from available stockpiles based on specific needs and queries.
Push Acquisition
Information owners selectively pushing relevant data to appropriate areas where it can be explored and interpreted.
Hybrid Models
Combined approaches using AI recommendation systems and contextual awareness for optimal information flow.
GHA Acquisition Framework
🌍 Continental Knowledge Networks
The GHA approach to information acquisition emphasizes federated, context-aware systems that respect data sovereignty while enabling cross-border knowledge sharing.
Our acquisition frameworks are designed to bridge the knowing gap through intelligent information retrieval, adaptive learning systems, and culturally-sensitive knowledge integration.
🤝 Community-Driven Acquisition
Empowering local communities to define their information needs and participate directly in the acquisition process, ensuring relevance and cultural appropriateness.
Example: Participatory rural appraisal methods combined with mobile data collection in Ethiopian agricultural communities.
🌐 Cross-Border Data Commons
Creating shared acquisition protocols that enable member states to collaboratively gather and access regional data while maintaining national sovereignty.
Example: Harmonized climate data acquisition across East African nations for regional resilience planning.
Continue the Knowing Journey
With information acquired, the next step is deep exploration and engagement.
Drive for Acquiring Information:
What motivates or encourages individual or organizations to acquire information?
| Entity | Motivation | Reasons | Pros | Cons |
|---|---|---|---|---|
| Individuals | Education and Learning | Personal growth, skill enhancement, continuous learning | Increased knowledge, expanded horizons | Time-consuming, information overload, potential distractions |
| Decision Making | Informed choices, evidence-based decision-making | Better outcomes, reduced risks | Information bias, conflicting sources | |
| Problem Solving | Understanding issues, exploring solutions | Effective problem-solving, innovative thinking | Limited resources, incomplete information | |
| Research and Innovation | Advancing knowledge, exploring new ideas | Scientific progress, technological advancements | Need for expertise, resource-intensive | |
| Personal/Social Awareness | Staying updated, understanding diverse perspectives | Enhanced empathy, social cohesion | Information overload, potential biases | |
| Curiosity/Interest Driven | Exploring personal interests, satisfying curiosity | Intellectual stimulation, personal satisfaction | Distraction from important tasks, time-consuming | |
| Communities | Decision Making | Collective choices, community development | Informed decision-making, community engagement | Disagreements, differing priorities |
| Problem Solving | Addressing community issues, finding solutions | Effective problem-solving, community empowerment | Limited resources, diverse perspectives | |
| Communication/Collaboration | Sharing information, building partnerships | Enhanced communication, collective action | Miscommunication, information privacy | |
| Personal/Social Awareness | Understanding local issues, promoting social change | Informed civic engagement, community empowerment | Information overload, apathy | |
| Institutions | Education and Learning | Academic programs, research initiatives | Knowledge dissemination, intellectual development | Resource-intensive, institutional constraints |
| Decision Making | Policy formulation, strategic planning | Informed policies, effective management | Information bias, bureaucratic delays | |
| Research and Innovation | Advancing knowledge, technological advancements | Scientific progress, institutional reputation | Funding constraints, competitive landscape | |
| Compliance and Accountability | Regulatory requirements, performance monitoring | Adherence to standards, transparency | Compliance costs, administrative burden | |
| Communication/Collaboration | Interdisciplinary collaboration, knowledge sharing | Enhanced collaboration, interdisciplinary breakthroughs | Organizational silos, information hoarding | |
| Organizations | Decision Making | Strategic decision-making, resource allocation | Informed choices, improved performance | Information overload, limited expertise |
| Problem Solving | Identifying solutions, optimizing processes | Effective problem-solving, efficiency gains | Resource constraints, resistance to change | |
| Research and Innovation | Product development, market analysis | Competitive advantage, innovation | R&D costs, uncertain outcomes | |
| Compliance and Accountability | Legal requirements, regulatory compliance | Legal compliance, risk mitigation | Compliance costs, potential penalties | |
| Communication/Collaboration | Internal/external communication, partnerships | Effective collaboration, stakeholder engagement | Miscommunication, information leakage | |
| Enterprises | Market Research | Understanding customer needs, identifying market trends | Improved products/services, competitive advantage | Market volatility, data privacy concerns |
| Decision Making | Strategic planning, business development | Informed decisions, growth opportunities | Information bias, resource constraints | |
| Innovation and Creativity | Product/service innovation, exploring new markets | Competitive edge, revenue growth | R&D costs, market uncertainties | |
| Compliance and Accountability | Regulatory requirements, quality assurance | Legal compliance, reputation management | Compliance costs, reputational risks | |
| Communication/Collaboration | Internal/external communication, partnerships | Effective collaboration, market outreach | Miscommunication, information leakage |
The theory around acquisition is closely tied to information processing theory. Unfortunately, most of the focus of information processing theory has been “an approach to cognitive development studies that aims to explain how information is encoded into memory. (Source: Research.com, What is Information Processing Theory? Stages, Models & Limitations | Research.com). The drawback is that the theory focuses on individual rather than on organization or macro level processing of information
Information Processing In General:
It is helpful to see how information is processed by those who seek knowing. The information processing theory is built around individual information processing. However, as suggested, Information processing theory can be extended beyond individuals.
Accordingly, like individuals, there are four primary stages of processing information in organizations which usually, but not always, occur in order (Kmetz, 2020):
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Acquisition or retrieval – Individuals in the organization receive or seek information. The source of information can come from within the organization, such as knowledge base, experts, or even performance review comments from employees. The information can also originate from outside the organization through other entities, third-party experts, and more.
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Storage – Once the information is acquired, Storing occur in different media such as computers, databases, or servers. Storing is a crucial part of the entire information processing workflow so that other members of the organization can access the information when needed. It is also important for learning as the organization can learn from its past experiences through the stored information.
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Transformation – The next steep is to Modify or transform information that is received or in storage. This may include analysis, expansion, or compression that will help in decision-making. Transforming can include extracting or deriving result from new information.
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Transmission – The information from one of the first three stages are distributed to others. It may include reporting or presenting to relevant stakeholders. (Source: Research.com, What is Information Processing Theory? Stages, Models & Limitations | Research.com)