This Blog

The theme and my goal is to merge the use of technological innovation with a futuring mindset in this blog by incorporating strategies that help improve, differentiate, and create a sustainable competitive advantage in a disruptive and fast-changing global business environment. My hope is to illustrate the use of AI (artificial intelligence) (machine learning) and neural networks to assist and outperform traditional paradigms of the slow bureaucracy of the hierarchical decision-making process. And replace it with a decentralized autonomous auto-machine learning framework based in physical and behavioral sciences. Wang's (2012) research has shown the use of technology in organizational learning improved outcomes. Business intelligence systems (BIS) to increase real-time decision-making for improved outcomes, efficiencies, innovation, creativity, and heterarchical autonomous systems thinking. 

Challenges

Leaders who intermingle EI (Emotional Intelligence) strategies are proponents for strategic success (Goleman, Boyatzis, & McKee, 2013). Now imagine further intermingling emotional AI to help leaders read and interpret feelings, emotions, moods, and intentions! My challenge will be to navigate the new ground of technology and innovation with the new ground of EI strategies. Both emotional AI and EI strategies are in their infancy, and trying to find reliable and valid instruments based on rigorous science will be challenging for me to remain unbiased. There in lies the irony of this topic. The root cause of project management failure is human error or misjudgment in light of cognitive biases; (Cunha, 2015) however, also the mark of a true scholar is able to step back and critically think and observe. One other challenge will be the ability to weigh the reality of limitations of future technology and innovation in practical matters due to costs, applications, security, ethics, and oversight. For example, does the technology improve relationships or create a wall? Increased computing abilities will also create a challenge because a business leader now wants technology that can be implemented in the next 3-5 years with reliability, not some hope of fruition ten years down the road.

References

Cunha, J. A., Viglioni, T., Thomaz, J., & Moura, H. (2014, November). Project Management in Light of Cognitive Biases: A Public Sector IT Organization Case. In European Conference on Management, Leadership & Governance (p. 50). Academic Conferences International Limited.

Goleman, D., Boyatzis, R. E., & McKee, A. (2013). Primal leadership: Unleashing the

power of emotional intelligence. Harvard, MA: Harvard Business Press.

Wang, G., & Seibert, S. E. (2015). The impact of leader emotion display frequency on follower performance: Leader surface acting and mean emotion display as boundary conditions. Leadership Quarterly, 26(4), 577-593. doi:10.1016/j.leaqua.2015.05.007