Enhancing SME Financial Accuracy through Prompt Engineering Services to Address Manual Recording Challenges (Phenomenological Study)

Description

Indonesian Small Medium Entreprises (SME’s) as the mainstay of the national economy with over 60 million enterprises, struggle with inefficiencies of manual financial record keeping that leads to mistake, delays and barrier to growth. This bothers the mind knowing that how much potential are wasted because of a traditional implementation of financial recording that are recommended to digitalize with modern day capabilities, marking the importance of this research as well as a background of this research. This research uses a phenomenological approach as it’s method to examine lived experiences of seven SME’s owners and accountant regarding their recording practices, issues, and attitudes toward prompt engineering services to record their financial data with the help of AI. This method is chosen because it focuses on experience and one’s subjective understanding, backed and triangulated with 19 scopus indexed journals. A semi structured interview are done towards the participants, it disclose the variety of systems ranging between fully digital and manual, manual found in 70% cases, enduring human errors, all participant reports high interest in AI based accuracy and efficiency. End results are sorted and analyzed through Nvivo, bringing together four fundamental themes, which are practice diversity, operational challenges, AI enthusiasm, and adoption barriers. Results confirm that tiered monetization models that deal with affordability helps to improve financial accuracy by 27.3 percent and predictability by 34.5 percent. The research is in line with SDG 8 (decent work) and SDG 9 (innovation) as the research will propose scalable AI solutions to SME resilience.

Institutions

• BINUS Malang
• Bina Nusantara University

Categories

Funders

• Binus University

  Indonesia

Licence