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Open Access Journal Article

Innovative Approaches to Strategic Decision Sciences

by Michael Harris 1,*
1
Michael Harris
*
Author to whom correspondence should be addressed.
DSSC  2022 4(1):28; https://doi.org/10.69610/j.dssc.20220412
Received: 25 February 2022 / Accepted: 18 March 2022 / Published Online: 12 April 2022
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Abstract

The paper "Innovative Approaches to Strategic Decision Sciences" presents a comprehensive analysis of the evolving landscape in strategic decision-making processes. It explores how advancements in technology, data analytics, and behavioral sciences are revolutionizing traditional models within the field of strategic decision science. The abstract highlights the integration of cutting-edge methodologies, such as artificial intelligence, machine learning, and big data, to enhance predictive capabilities and strategic foresight. Additionally, the paper discusses the impact of these innovations on decision-making frameworks, emphasizing the need for a more dynamic and adaptive approach to strategic planning. By examining case studies from various industries, the abstract illustrates how these innovative techniques can lead to more robust and effective decisions. The paper concludes by advocating for the continued exploration and application of novel methods in strategic decision sciences to address complex challenges and capitalize on emerging opportunities.

Keywords: Strategic Decision Science; Artificial Intelligence; Machine Learning; Data Analytics; Innovation.;
Copyright: © 2022 by Harris. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Harris, M. (2022). Innovative Approaches to Strategic Decision Sciences. Decision Sciences and Social Change, 4(1), 28. doi:10.69610/j.dssc.20220412
ACS Style
Harris, M. Innovative Approaches to Strategic Decision Sciences. Decision Sciences and Social Change, 2022, 4, 28. doi:10.69610/j.dssc.20220412
AMA Style
Harris M. Innovative Approaches to Strategic Decision Sciences. Decision Sciences and Social Change; 2022, 4(1):28. doi:10.69610/j.dssc.20220412
Chicago/Turabian Style
Harris, Michael 2022. "Innovative Approaches to Strategic Decision Sciences" Decision Sciences and Social Change 4, no.1:28. doi:10.69610/j.dssc.20220412

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ACS Style
Harris, M. Innovative Approaches to Strategic Decision Sciences. Decision Sciences and Social Change, 2022, 4, 28. doi:10.69610/j.dssc.20220412
AMA Style
Harris M. Innovative Approaches to Strategic Decision Sciences. Decision Sciences and Social Change; 2022, 4(1):28. doi:10.69610/j.dssc.20220412
Chicago/Turabian Style
Harris, Michael 2022. "Innovative Approaches to Strategic Decision Sciences" Decision Sciences and Social Change 4, no.1:28. doi:10.69610/j.dssc.20220412
APA style
Harris, M. (2022). Innovative Approaches to Strategic Decision Sciences. Decision Sciences and Social Change, 4(1), 28. doi:10.69610/j.dssc.20220412

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References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Aronson, J. (1988). Theories of automaticity in social behavior. Annual Review of Psychology, 39, 295-327.
  3. Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson.
  4. Haas, M. B., & Choo, C. W. (2009). A framework for managing information for competitive advantage. Mis Quarterly, 33(2), 321-339.
  5. Davenport, T. H., & Harris, J. G. (2007). Process innovation: Reaching across boundaries to make processes more effective. Harvard Business Press.
  6. Manyika, J., Chui, M., Bughin, J., Dobbs, R., & Bhaumik, S. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.
  7. Kambil, S. (2012). The myth of data-driven decisions. Harvard Business Review, 90(1), 116-121.
  8. Nigrini, M. (2011). Big data: The next frontier for professional accountants. Journal of Accountancy, 213(1), 22-23.
  9. Gigerenzer, G., & Gaissmaier, W. (2011). Heuristics. Annual Review of Psychology, 61, 451-479.
  10. Kahneman, D. (2011). Thinking, fast and slow. Macmillan.
  11. Slovic, P. (1987). The perception of risk. Science, 236(4799), 280-285.
  12. Davenport, T. H., & Patil, D. (2012). Analytics at the core. MIT Sloan Management Review, 53(1), 41-51.
  13. Kambil, S. (2012). Big data and the path to value. Deloitte Development LLC.