Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business

Authors

  • Kishore Mullangi Assistant Consultant, Tata Consultancy Services Pvt. Ltd., USA
  • Sai Sirisha Maddula Front End Developer, Nartal Systems, 2650 US-130 e, Cranbury, NJ 08512, USA
  • Mohamed Ali Shajahan Sr. Staff SW Engineer, Continental Automotive Systems Inc., Auburn Hills, MI 48326, USA
  • Arun Kumar Sandu Cloud Devops Engineer, Starbucks, 2401 Utah Ave S, Seattle, WA 98134, USA

DOI:

https://doi.org/10.18034/abr.v8i3.704

Keywords:

Artificial Intelligence, Reciprocal Symmetry, Customer Relationship Management, Business Transformation, AI Applications, Technology Integration, Industry Disruption

Abstract

This article examines how combining reciprocal symmetry, artificial intelligence (AI), and customer relationship management (CRM) might change corporate paradigms and promote long-term growth. Investigating the convergence of AI and reciprocal symmetry principles within CRM, examining AI's role in fostering customer-centric relationships, and identifying policy implications for responsible AI use in business practices are the main goals of this study. This study's methodology uses a secondary data-based review strategy to synthesize industry reports, academic publications, and current literature to analyze the conceptual framework and real-world applications of AI-driven CRM tactics integrated with the concepts of reciprocal symmetry. Important discoveries show that combining reciprocal symmetry and AI improves personalization, encourages team-based innovation, and puts customers' needs first in CRM. However, to guarantee safe AI adoption in commercial contexts, issues like data privacy consequences and ethical considerations highlight the necessity for explicit regulations and guidelines. The policy implications underscore the significance of formulating legislation that protects consumer rights, encourages ethical AI implementation, and sets benchmarks for AI-powered CRM procedures. The study highlights the potential of artificial intelligence (AI) and reciprocal symmetry to drive a paradigm shift in corporate relationships and innovation towards a customer-centric approach.

Downloads

Download data is not yet available.

References

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 DOI: https://doi.org/10.18034/apjee.v4i2.720

Campennì, M., & Schino, G. (2016). Symmetry-based Reciprocity: Evolutionary Constraints on a Proximate Mechanism. PeerJ. https://doi.org/10.7717/peerj.1812 DOI: https://doi.org/10.7717/peerj.1812

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 DOI: https://doi.org/10.3842/SIGMA.2014.091

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

Maggon, M., & Chaudhry, H. (2018). Exploring Relationships between Customer Satisfaction and Customer Attitude from Customer Relationship Management Viewpoint: An Empirical Study of Leisure Travellers. FIIB Business Review, 7(1), 57-65. https://doi.org/10.1177/2319714518766118 DOI: https://doi.org/10.1177/2319714518766118

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

Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89

Sabato, S., & Winter, Y. (2012). Relational Domains and the Interpretation of Reciprocals. Linguistics and Philosophy, 35(3), 191-241. https://doi.org/10.1007/s10988-012-9117-x DOI: https://doi.org/10.1007/s10988-012-9117-x

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

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

Sigala, M. (2018). Implementing Social Customer Relationship Management: A Process Framework and Implications in Tourism and Hospitality. International Journal of Contemporary Hospitality Management, 30(7), 2698-2726. https://doi.org/10.1108/IJCHM-10-2015-0536 DOI: https://doi.org/10.1108/IJCHM-10-2015-0536

Tang, V., Yanine, F., & Valenzuela, L. (2016). Data, Information, Knowledge and Intelligence. International Journal of Innovation Science, 8(3), 199-216. https://doi.org/10.1108/IJIS-07-2016-0022 DOI: https://doi.org/10.1108/IJIS-07-2016-0022

Downloads

Published

2018-12-31

How to Cite

Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183-190. https://doi.org/10.18034/abr.v8i3.704

Similar Articles

31-40 of 228

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)