OPTIMIZING THE RM WORKBENCH TO EMPOWER RELATIONSHIP MANAGERS AND SUPPORT WHOLESALE BUSINESS PORTFOLIO GROWTH AT BBRI

  • Nugraini Rahmaniasari Institut Teknologi Bandung
  • Utomo Sarjono Putro Institut Teknologi Bandung
Keywords: RM Workbench, Technology Acceptance Model, Fishbone Diagram, SWOT/TOWS Analysis, CRM Principles Analytical Hierarchy Process, Cement Industry, Waste Management Services, Strategic Business

Abstract

This study focuses on enhancing the RM Workbench at BBRI to support Relationship Managers (RMs) in driving wholesale business portfolio growth amidst challenges in the MSME segment. The research identifies a significant gap between the Workbench's intended functionalities and actual adoption due to usability issues and feature limitations. Leveraging frameworks such as the Technology Acceptance Model (TAM), Fishbone Diagram, SWOT/TOWS analysis, and CRM principles, the study systematically evaluates the factors affecting adoption. The findings reveal critical barriers, including the lack of intuitive design, insufficient training, and integration challenges. Strategic recommendations include adding advanced analytics, streamlining workflows, and incorporating predictive modeling to align the Workbench with RMs' needs. The proposed visual mockup aims to enhance usability and adoption, ensuring the RM Workbench becomes a central tool for improving operational efficiency, strategic decision-making, and client relationship management. This initiative supports BBRI's goal to diversify beyond MSME and strengthen its wholesale business segment to sustain long-term profitability and market leadership

References

BOSE, R. .. ((2002). ). CUSTOMER RELATIONSHIP MANAGEMENT: KEY COMPONENTS FOR IT SUCCESS. . INDUSTRIAL MANAGEMENT & DATA SYSTEMS,, 102(2), 89-97.
Boslaugh, S. (2007). An introduction to secondary data analysis. Secondary data sources for public health: A practical guide.
BRI. (2023). Retrieved from www.bri.co.id.
BRI. (2023). Retrieved from https://www.ir-bri.com/misc/PS/2023/2Q23-FU-Presentation.pdf.
BRI, B. (2023). Retrieved from https://www.ir-bri.com/misc/PS/2023/2Q23-FU-Presentation.pdf.
C, K. (2023). Enhancing Market Development in South Sulawesi through Multi Criteria Decision: An Analytic Hierarchy Process (AHP) Approach, A Case Study of PT Makasar Distribution Centre. Jakarta: https://fp-jkt.sbm.itb.ac.id/user/library.php?page=home.
Dimitriadis, S. (2008). Integrated customer relationship management for service activities An internal/external gap model. Managing Service Quality.
Dodd, G. a. (1934). Security Analysis,. United States of America: McGraw Hill.
Helms, M. M. (2010). Exploring SWOT analysis – where are we now? A review of academic research from the last decade. Journal of Strategy and Management.
Katadata. (2023). Retrieved from https://databoks.katadata.co.id/datapublish/2023/02/07/pertumbuhan-ekonomi-jawa-barat-paling-tinggi-se-pulau-jawa-pada-2022.
Kotler, P. &. (2007). Principles of Marketing. Boston Pearson Prentice Hall.
Lemon, K. N., & Verhoef, P. C. (2016). Understanding Customer Experience Throughout the Customer Journey. Journal of Marketing.
Mcleod, S. (2023). Qualitative vs quantitative Research : Differences, Example & Methods. Simply Psychology.
OJK. (2023). Retrieved from https://ojk.go.id.
Pradhan, S. (2021). MEASURING CUSTOMER LIFETIME VALUE: APPLICATION. International Journal of the Analytic Hierarchy Process.
Reinartz, W. K. ((2004).). The customer relationship management process: Its measurement and impact on performance. ,. Journal of Marketing Research, 41(3), 293-305.
Singh, S. (2003). Simple Random Sampling. In: Advanced Sampling Theory with Applications.
Published
2025-02-14
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