You are previewing International Journal of Strategic Decision Sciences (IJSDS) Volume 6, Issue 4.
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International Journal of Strategic Decision Sciences (IJSDS) Volume 6, Issue 4

Book Description

The vast amount of information that must be considered to solve inherently ill-structured and complex strategic problems creates a need for tools and techniques to help decision makers recognize the complexity of this process and develop a rational model for strategy evaluation. The International Journal of Strategic Decision Sciences (IJSDS) is a double-blind refereed journal whose focus is to promote the infusion of strategic decision-making with the analytical methods. IJSDS distinguishes itself as a business journal with an explicit focus on analytical strategic decision-making. The journal provides a publication vehicle for theoretical and empirical research as well as real-world applications and case studies. Papers published in IJSDS should not only meet high standards of research rigor and originality in decision sciences, but also embrace strategic decision-making.

This issue contains the following articles:

  • Quantitative Approaches to Representing the Value of Information within the Intelligence Cycle
  • Fusing Theory to Practice: A Case of Executing Analytical Strategic Leadership Tool
  • Robust Option through Binomial Tree Method
  • Comparing Predictive Ability of Classifiers in Forecasting Online Buying Behaviour: An Empirical Study
  • Employing Group Decision Support System for the Selection of Internet Information Search Channels for Consumers

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Quantitative Approaches to Representing the Value of Information within the Intelligence Cycle
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DEFINITION OF INTELLIGENCE
    4. 3. APPROACHES TO VALUING INFORMATION
    5. 4. REVIEW OF CURRENT VALUATION OF INTELLIGENCE
    6. 5. VALUE WITHIN THE INTELLIGENCE CYCLE
    7. 6. FUTURE WORK AND CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
  5. Fusing Theory to Practice:
    1. ABSTRACT
    2. INTRODUCTION
    3. TRANSFORMATIONAL LEADERSHIP AND STRATEGIC THINKING LITERATURE REVIEW
    4. RESEARCH METHODOLOGY
    5. ARRANGEMENT OF THE CONSTRUCT VARIABLES; TRANSFORMATIONAL LEADERSHIP BASED WORK LEADERSHIP IN THE SUBJECT QUANTITATIVE SURVEY TOOL
    6. ARRANGEMENT OF CONSTRUCT VARIABLES: STRATEGIC THINKING, IN THE SUBJECT QUANTITATIVE SURVEY TOOL
    7. RESULTS AND ANALYSIS
    8. DISCUSSION ON RESULTS
    9. CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
  6. Robust Option through Binomial Tree Method
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. ROBUST OPTION
    5. 4. EXAMPLE
    6. 5. DISCUSSION
    7. 6. CONCLUSION
    8. REFERENCES
  7. Comparing Predictive Ability of Classifiers in Forecasting Online Buying Behaviour:
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
    4. SELECT TECHNIQUES USED
    5. METHODOLOGY USED
    6. RESULTS AND ANALYSIS
    7. RECEIVER OPERATING CHARACTERISTIC OR ROC CURVE
    8. CUMULATIVE GAIN AND LIFT CHARTS
    9. DISCUSSION AND CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
  8. Employing Group Decision Support System for the Selection of Internet Information Search Channels for Consumers
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. COMPUTATIONAL METHOD
    5. 4. NUMERICAL EXAMPLE
    6. 5. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  9. Call For Articles