You are previewing International Journal of Organizational and Collective Intelligence (IJOCI) Volume 6, Issue 3.
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International Journal of Organizational and Collective Intelligence (IJOCI) Volume 6, Issue 3

Book Description

The International Journal of Organizational and Collective Intelligence (IJOCI) focuses on computing theories and empirical analyses of shared knowledge relevant to businesses. Containing both practical and theoretical articles on the technical and managerial aspects of intelligent computing, this journal reflects on current advancements in a variety of areas including knowledge computing, decision science, organizational systems, and robotics.

This issue contains the following articles:

  • A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes
  • The Role of Stories and Simulations in the Lessons Learned Process
  • RSSMSO Rapid Similarity Search on Metric Space Object Stored in Cloud Environment
  • Public Financial Information Management for Benefits Maximization: Insights from Organization Theories
  • A Proposed Framework for Cloud Computing adoption

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN ISSUES
    5. PRIVACY-ENHANCING ENTITY RESOLUTION AND IDENTITY MANAGEMENT
    6. RESULTS
    7. CONCLUSION AND FUTURE WORK
    8. REFERENCES
  5. The Role of Stories and Simulations in the Lessons Learned Process
    1. ABSTRACT
    2. INTRODUCTION
    3. ORGANIZATIONAL STORIES
    4. APPROACH
    5. DISCUSSION AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. REFERENCES
  6. RSSMSO Rapid Similarity Search on Metric Space Object Stored in Cloud Environment
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORKS
    4. 3. BACKGROUND
    5. 4. PROBLEM STATEMENT AND SYSTEM MODEL
    6. 5. PROPOSED WORK
    7. 6. PERFORMANCE
    8. 7. DISCUSSION
    9. 8. CONCLUSION
    10. REFERENCES
  7. Public Financial Information Management for Benefits Maximization:
    1. ABSTRACT
    2. INTRODUCTION
    3. ORGANIZATION THEORIES FOR PUBLIC FINANCIAL INFORMATION MANAGEMENT
    4. INFORMATION MANAGEMENT USING APPROPRIATE BUDGETARY TECHNIQUES OR APPROACHES
    5. INFORMATION MANAGEMENT TO MAKE BUDGET DECISIONS FOR BENEFIT MAXIMIZATION
    6. CONCLUSION
    7. REFERENCES
    8. ADDITIONAL READING
  8. A Proposed Framework for Cloud Computing adoption
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BENEFITS AND CHARACTERISTICS OF CLOUD
    4. 3. CLOUD COMPUTING FOR BUSINESS USE
    5. 4. THE PAIR OF THE HEXAGON MODELS
    6. 5. ORGANIZATIONAL CHALLENGES FOR CLOUD ADOPTION
    7. 6. LITERATURES SUPPORTING THE PROPOSED FRAMEWORK, THE CLOUD COMPUTING ADOPTION FRAMEWORK (CCAF)
    8. 7. FRAMEWORK APPROACH: THREE KEY AREAS TO ADDRESS RESEARCH QUESTIONS
    9. 8. HOW DIFFERENT KEY AREAS FIT INTO CCAF ALTOGETHER
    10. 9. RESEARCH CONTRIBUTIONS AND BENEFITS FOR COLLABORATORS OFFERED BY CCAF
    11. 11. CONCLUSION AND FUTURE WORK
    12. REFERENCES
  9. Call For Articles