Design and Implementation of a Social Media Complaint Management System
Abstract
This research explores the integration of complaint management systems with social media platforms, adopting a hybrid strategy that combines server-side and client-side processing for optimal efficiency and user engagement. The study emphasizes the development of a user-friendly complaint filing system with a focus on administrative control, social media integration, security, and compliance. Findings, derived from group focus interviews and rigorous validation testing, underscore the significance of user-friendly interfaces and the seamless integration of popular social media channels. Real-world challenges, including technical constraints and scalability concerns, are effectively addressed, leading to practical solutions. The successful incorporation of social media platforms as complaint channels exemplifies an innovative approach to collecting and addressing feedback in the digital era. The research provides essential view for software developers and organizations seeking to enhance their complaint management systems. It highlights the paramount importance of user-centric design, social media integration, and stringent security measures. The study's implications extend to stakeholders, including researchers, practitioners, and organizations, offering actionable insights into improving complaint management procedures, elevating user experiences, and fostering heightened customer satisfaction. The recommendations emphasize scalability planning, administrator training, and a continuous improvement mindset. Future studies are suggested to explore security and compliance frameworks, scalability optimization, and integration with Customer Relationship Management (CRM) systems. Overall, this study contributes significantly to advancing complaint management practices in the digital age, aligning them with contemporary trends and technology-driven solutions.
Full Text:
PDFReferences
Afify, E., & Nasr, M.,(2020). A proposed model for a web-based academic advising system. International Journal of Advanced Networking and Applications, 9(2), 3345-3361.
Boshoff, L.C. & Du, P. (2019). The contrasting effects of culture on consumer tolerance: interpersonal face and impersonal fate. Journal of Consumer Research, 36(2), 292-304.
Cooper, T., Constantino S., & Angela R. D. (2019). Domains of influence: exploring negative sentiment in social media. Journal of Product & Brand Management.https://doi.org/10.1108/JPBM-03-2018-1820
Folkes, L. (2020). Serving unfair customers. Business Horizons, 51(1), 29-37.
Lo, R.W. (2022). An exploratory assessment of situational effects in buyer behavior. Journal of Marketing Research, 11(2), 156-163.
Mary, A. B., & David T., (2020). The Implementation of Agent-based Complaint Management System. Journal of Computer Science, 8(5), 205-207.
Melancon, K., &Dalakas, D., (2022). Improving customer Complaint management by automatic Email classification using linguistic style features as predictors. Decision Support Systems, 44(4), 870-882.
Parasuraman, S., & Michel, K., (2019). Natural language mobile interface to register citizen complaints. In TENCON 2008-2008 IEEE Region 10 Conference, 1-6.
Peeroo, C.V. (2020). First party fraud: a review of the forms and motives of fraudulent consumer behaviours in e-tailing. International Journal of Retail & Distribution Management, 42(9) 805-817.
Zeithaml, T. (2020). The role of the customer– seller relationship in the intention of the customer to complain: a study of Chinese restaurateurs. International Journal of Hospitality Management, 27(4), 552-562.
Refbacks
- There are currently no refbacks.