Application of ChatGPT in Improving Operational Efficiency in the Context of Entrepreneurship

Authors

  • Abu Muna Almaududi Ausat Program Studi Administrasi Bisnis, Fakultas Ilmu Administrasi, Universitas Subang, Indonesia
  • Andy Rachman Program Studi Teknik Informatika, Fakultas Teknik Elektro dan Teknologi Informasi, Institut Teknologi Adhi Tama Surabaya, Indonesia
  • Syamsu Rijal Program Studi Pendidikan Ekonomi, Fakultas Ilmu Ekonomi, Universitas Negeri Makassar
  • Suherlan Suherlan Program Studi Administrasi Publik, Fakultas Ilmu Administrasi, Universitas Subang, Indonesia
  • Hizbul Khootimah Azzaakiyyah Program Studi Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis, Universitas Diponegoro, Indonesia

DOI:

10.33395/jmp.v12i1.12667

Keywords:

ChatGPT, Operational Efficiency, Entrepreneurship

Abstract

In the ever-evolving digital era, the use of AI has become a major focus in various fields. One example is the application of AI technology in the context of entrepreneurship. Entrepreneurship is an activity that involves developing, launching, and managing new or innovative ventures. In this study, the main objective is to explore the application of ChatGPT in improving operational efficiency in the context of entrepreneurship. The focus of this study is primarily qualitative. Methods for gathering data include paying close attention to detail while viewing and recording data, and then using analytical techniques such as data reduction, visualisation, and inference to draw conclusions. The study results show that the application of ChatGPT in improving operational efficiency in an entrepreneurial context offers a range of significant benefits. In the areas of customer service, marketing and sales, and internal management, ChatGPT can help companies improve customer satisfaction, optimise business processes, save time and resources, and increase productivity and collaboration between teams.

 

GS Cited Analysis

Author Biographies

Abu Muna Almaududi Ausat, Program Studi Administrasi Bisnis, Fakultas Ilmu Administrasi, Universitas Subang, Indonesia

Program Studi Administrasi Bisnis, Fakultas Ilmu Administrasi, Universitas Subang, Indonesia. Email: abumuna742@gmail.com

 

Andy Rachman, Program Studi Teknik Informatika, Fakultas Teknik Elektro dan Teknologi Informasi, Institut Teknologi Adhi Tama Surabaya, Indonesia

Program Studi Teknik Informatika, Fakultas Teknik Elektro dan Teknologi Informasi, Institut Teknologi Adhi Tama Surabaya, Indonesia. Email: andy.rach1910@itats.ac.id

 

Syamsu Rijal, Program Studi Pendidikan Ekonomi, Fakultas Ilmu Ekonomi, Universitas Negeri Makassar

Program Studi Pendidikan Ekonomi, Fakultas Ilmu Ekonomi, Universitas Negeri Makassar. Email: syamsurijalasnur@unm.ac.id

 

Suherlan Suherlan, Program Studi Administrasi Publik, Fakultas Ilmu Administrasi, Universitas Subang, Indonesia

Program Studi Administrasi Publik, Fakultas Ilmu Administrasi, Universitas Subang, Indonesia. Email: suherlanfia@gmail.com

 

Hizbul Khootimah Azzaakiyyah, Program Studi Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis, Universitas Diponegoro, Indonesia

Program Studi Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis, Universitas Diponegoro, Indonesia. Email: azzaakiyyahhizbulk@gmail.com

 

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How to Cite

Almaududi Ausat, A. M., Rachman, A., Rijal, S., Suherlan, S., & Azzaakiyyah, H. K. (2023). Application of ChatGPT in Improving Operational Efficiency in the Context of Entrepreneurship. Jurnal Minfo Polgan, 12(1), 1220-1228. https://doi.org/10.33395/jmp.v12i1.12667

Issue

Vol. 12 No. 1 (2023): Artikel Penelitian 2023

Section

Articles

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