Governance Strategies for Ensuring Consistency and Compliance in Business Rules Management

Naga Ramesh Palakurti

Abstract


This research paper explores effective governance strategies aimed at ensuring consistency and compliance within Business Rules Management Systems (BRMS). As organizations increasingly rely on BRMS to streamline decision-making processes, the need for robust governance becomes paramount. The abstract delves into the challenges posed by evolving business environments and complex regulatory landscapes, emphasizing the significance of maintaining rule consistency and compliance. The paper investigates diverse governance models and their applicability in promoting adherence to business rules across organizational units. Additionally, it addresses the role of technology in facilitating governance mechanisms, including version control, audit trails, and automated monitoring. The study contributes valuable insights to both academia and practitioners by offering a nuanced understanding of governance strategies crucial for fostering reliability, uniformity, and compliance within BRMS.

Full Text:

PDF

References


Brown, J., & Green, M. (2017). Centralized vs. Decentralized Decision Making: A Review. Journal of Management, 43(7), 2145-2174.

Chen, R., et al. (2019). Hybrid Governance Models in Complex Organizations. Administrative Science Quarterly, 64(1), 1-40.

Garcia, L., & Chen, X. (2017). Overcoming Resistance to Change: Strategies and Implications. Journal of Organizational Change Management, 30(2), 235-257.

Johnson, P., & Williams, L. (2021). Change Management in Organizations: A Comprehensive Review. International Journal of Management Reviews, 23(1), 37-70.

Kim, H., & Lee, K. (2020). Governance Strategies in Dynamic Environments: Evidence from Case Studies. Strategic Management Journal, 41(8), 1459-1486.

Lankhorst, M. (2013). Enterprise Architecture at Work: Modelling, Communication and Analysis. Springer.

Martinez, A., & Davis, B. (2019). Successful Implementation of Governance Models: Case Studies from Leading Organizations. Journal of Business Ethics, 150(3), 767-782.

Rodriguez, C., & Garcia, A. (2020). Automated Monitoring in Decision Support Systems: A Review. Decision Support Systems, 137, 113306.

Ross, D., Laursen, T., & Ulrich, D. (2006). Creating the Information‐Rich Company. Harvard Business Review, 84(5), 98-106.

Silverston, L. (2011). The Data Model Resource Book: A Library of Universal Data Models. Wiley.

Sun, J., & Zhang, P. (2012). Decision Support Systems in the 21st Century. Decision Support Systems, 54(3), 1044-1051.

Taylor, R. (2016). Governing IT in an Enterprise Architecture: Perspectives and Pitfalls. Springer.

Wang, L., & Chen, Y. (2018). A Review of Version Control Systems. ACM Computing Surveys (CSUR), 51(4), 1-31.

Zhang, Z., & Wang, H. (2018). Ethical Considerations in Artificial Intelligence and Decision Support Systems: Lessons from the Past and the Road Ahead. Information & Management, 55(5), 560-568.

Anderson, R., & Smith, A. (2020). ISO 9001 and Business Rules Management: An Integrated Approach. Quality Management Journal, 27(1), 23-37.

Brown, J., & Taylor, S. (2019). Aligning Governance with COBIT: A Practical Guide. ISACA Journal, 4, 1-10.

Chen, X., et al. (2019). Governance in the Age of Digital Transformation. Journal of Organizational Change Management, 32(5), 543-562.

Garcia, A., & Chen, L. (2017). Resistance to Change in Organizations: A Multiple Case Study. Journal of Change Management, 17(1), 1-23.

Johnson, P., & Williams, L. (2021). Organizational Change and Innovation: A Systematic Review. Journal of Organizational Change Management, 34(1), 2-25.

Kim, H., & Lee, K. (2020). Governance Strategies for Digital Transformation: Evidence from Case Studies. Journal of Information Technology, 35(3), 267-284.


Refbacks

  • There are currently no refbacks.