Developing Lightning Components for Service Cloud and Communities

Authors

  • Joshna Konudula Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh 533003 India
  • Prof.(Dr) Avneesh Kumar Department of Computer Galgotias University Greater Noida, Uttar Pradesh 203201 India

DOI:

https://doi.org/10.36676/urr.v12.i1.1484

Keywords:

Salesforce Lightning components, Service Cloud, Communities, UI development, customer service automation, mobile optimization, AI integration, real-time data, Salesforce security, cross-platform compatibility, custom Salesforce solutions, performance optimization, self-service portals, cloud-based solutions, multinational enterprise integration.

Abstract

The last decade has been one of significant transformation in the history of Lightning components for Salesforce Service Cloud and Communities, driven by the need for scalable, efficient, and customizable solutions for cloud-based customer service landscapes. Salesforce's shift from Visualforce to the Lightning framework brought modern UI components to the equation, resulting in better performance and a more enhanced user experience. Lightning components enable smooth integration with Service Cloud, empowering customer service teams with customizable workspaces, real-time access to information, and automation features. Salesforce Communities have also been supported by Lightning components in the guise of enhanced self-service capabilities and more interactive, user-centric experiences for customers and agents. Despite these developments, several research gaps persist.

References

• Anderson, C. (2017). Challenges in Salesforce Lightning Development. Journal of Cloud Computing, 8(4), 112-119.

• Deloitte. (2022). Artificial Intelligence in Salesforce Lightning Components: Impact on Customer Service Automation. AI and Automation Review, 12(4), 105-118.

• Forrester Research. (2023). Performance Evaluation of Salesforce Lightning in Service Cloud. Forrester Cloud Performance Report, 8(1), 16-28.

• Gartner. (2020). Customization in Service Cloud with Salesforce Lightning. Gartner Cloud Review, 6(3), 50-62.

• Harrison, M., & Watson, J. (2021). Performance Optimization in Salesforce Lightning Components. Cloud Computing Journal, 16(2), 54-60.

• IBM. (2022). Cross-Platform Development in Salesforce Lightning. Cloud Development Studies, 7(3), 115-123.

• Johnson, P., et al. (2022). Security Challenges in Lightning Component Development. Journal of Cloud Security, 3(2), 54-63.

• McKinsey & Company. (2021). Enhancing Community Engagement through Salesforce Lightning. Community Management Journal, 9(2), 74-85.

• Meyer, S., et al. (2019). Adoption Rates and Learning Curves for Salesforce Lightning. Tech Adoption Studies, 11(2), 78-85.

• PwC. (2022). Salesforce Lightning for Multinational Enterprises. Global Business and Technology Review, 5(1), 65-74.

• Salesforce Research. (2019). The Impact of Lightning on Service Cloud Adoption and Performance. Cloud UX Journal, 7(1), 45-60.

• Salesforce Research. (2022). The Future of Customer Service with Salesforce Lightning. Salesforce Innovations, 5(2), 23-29.

• Smith, L., & Brown, H. (2020). Best Practices for Developing Lightning Components in Salesforce. Cloud Development Review, 12(1), 34-41.

• Thomson, G., et al. (2021). Adoption of Salesforce Lightning in Service Cloud. Journal of Cloud Computing, 15(3), 90-98.

• University of California. (2021). Real-Time Data Integration in Salesforce Lightning Components. Journal of Cloud Computing, 14(3), 78-89.

• Accenture. (2020). Enhancing Mobile Accessibility through Salesforce Lightning. Mobile Integration Journal, 5(4), 100-112.

• Jenkins, R., & McDonald, T. (2022). Performance Bottlenecks in Salesforce Lightning Components. Cloud Technologies Review, 13(1), 34-42.

• KPMG. (2020). The Impact of Salesforce Lightning on Customer Service Teams. KPMG Insights, 4(1), 45-56.

• Johnson, P., et al. (2024). The Rise of Low-Code Platforms in Salesforce Communities. Salesforce Innovators Journal, 6(3), 72-80.

• Deloitte. (2023). Salesforce Lightning and Its Impact on Service Cloud Efficiency. AI and Business Solutions, 13(2), 50-61.

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Published

2025-03-30
CITATION
DOI: 10.36676/urr.v12.i1.1484
Published: 2025-03-30

How to Cite

Joshna Konudula, & Prof.(Dr) Avneesh Kumar. (2025). Developing Lightning Components for Service Cloud and Communities. Universal Research Reports, 12(1), 297–316. https://doi.org/10.36676/urr.v12.i1.1484

Issue

Section

Original Research Article