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Peer Reviewed Article

Vol. 4 (2019)

Strategic Alignment of AI and Reciprocal Symmetry for Sustainable Competitive Advantage in the Digital Era

Submitted
2024 May 1
Published
2019-06-22

Abstract

For businesses to maintain a competitive edge in the digital age, artificial intelligence (AI) and reciprocal symmetry must be strategically aligned. This study explores how reciprocal symmetry can be fostered by strategic alignment of AI activities, resulting in increased innovation, efficiency, and resilience inside enterprises. The principal aim is to investigate how AI and reciprocal symmetry might be strategically aligned to attain a lasting competitive advantage. The study examines existing approaches, difficulties, and frameworks for integrating AI. Utilizing a secondary data-based review methodology, research articles, case studies, and current literature on AI integration, reciprocal symmetry, and competitive advantage were synthesized. According to the survey, reciprocal symmetry improves organizational resilience and encourages cooperative decision-making, while strategic alignment of AI spurs creativity and efficiency. Building trust and transparency in AI-driven enterprises requires ethical AI governance. The paper highlights essential policy implications for addressing skill shortages, boosting AI education, and supporting ethical AI governance frameworks.

References

  1. Ande, J. R. P. K., & Khair, M. A. (2019). High-Performance VLSI Architectures for Artificial Intelligence and Machine Learning Applications. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 20-30. https://upright.pub/index.php/ijrstp/article/view/121
  2. Ande, J. R. P. K., Varghese, A., Mallipeddi, S. R., Goda, D. R., & Yerram, S. R. (2017). Modeling and Simulation of Electromagnetic Interference in Power Distribution Networks: Implications for Grid Stability. Asia Pacific Journal of Energy and Environment, 4(2), 71-80. https://doi.org/10.18034/apjee.v4i2.720
  3. Campennì, M., Schino, G. (2016). Symmetry-based Reciprocity: Evolutionary Constraints on A Proximate Mechanism. PeerJ. https://doi.org/10.7717/peerj.1812
  4. Del Bino, L., Silver, J. M., Stebbings, S. L., Del'haye, P. (2017). Symmetry Breaking of Counter-Propagating Light in a Nonlinear Resonator. Scientific Reports (Nature Publisher Group), 7, 43142. https://doi.org/10.1038/srep43142
  5. Dyevre, A. (2017). Domestic Judicial Defiance and the Authority of International Legal Regimes. European Journal of Law and Economics, 44(3), 453-481. https://doi.org/10.1007/s10657-016-9551-2
  6. Goda, D. R., Yerram, S. R., & Mallipeddi, S. R. (2018). Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes. Global Disclosure of Economics and Business, 7(2), 123-136. https://doi.org/10.18034/gdeb.v7i2.725
  7. Hlavác, A., Marvan, M. (2014). A Reciprocal Transformation for the Constant Astigmatism Equation. Symmetry, Integrability, and Geometry. Methods and Applications, 10. https://doi.org/10.3842/SIGMA.2014.091
  8. Jin, L., Zhang, X. Z., Zhang, G., Song, Z. (2016). Reciprocal and Unidirectional Scattering of Parity-time Symmetric Structures. Scientific Reports (Nature Publisher Group), 6, 20976. https://doi.org/10.1038/srep20976
  9. Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124
  10. Mallipeddi, S. R., & Goda, D. R. (2018). Solid-State Electrolytes for High-Energy-Density Lithium-Ion Batteries: Challenges and Opportunities. Asia Pacific Journal of Energy and Environment, 5(2), 103-112. https://doi.org/10.18034/apjee.v5i2.726
  11. Mallipeddi, S. R., Goda, D. R., Yerram, S. R., Varghese, A., & Ande, J. R. P. K. (2017). Telemedicine and Beyond: Navigating the Frontier of Medical Technology. Technology & Management Review, 2, 37-50. https://upright.pub/index.php/tmr/article/view/118
  12. Mallipeddi, S. R., Lushbough, C. M., & Gnimpieba, E. Z. (2014). Reference Integrator: a workflow for similarity driven multi-sources publication merging. The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp). https://www.proquest.com/docview/1648971371
  13. Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125
  14. Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126
  15. Tuli, F. A., Varghese, A., & Ande, J. R. P. K. (2018). Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments. Global Disclosure of Economics and Business, 7(2), 109-122. https://doi.org/10.18034/gdeb.v7i2.724
  16. Vasseur, G., Fagot-Revurat, Y., Kierren, B., Sicot, M., Malterre, D. (2013). Effect of Symmetry Breaking on Electronic Band Structure: Gap Opening at the High Symmetry Points. Symmetry, 5(4), 344-354. https://doi.org/10.3390/sym5040344
  17. Yerram, S. R., & Varghese, A. (2018). Entrepreneurial Innovation and Export Diversification: Strategies for India’s Global Trade Expansion. American Journal of Trade and Policy, 5(3), 151–160. https://doi.org/10.18034/ajtp.v5i3.692

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