Semantic Scholar Open Access 2024 1 sitasi

A bibliometric analysis of self-ordering systems research using vosviewer

Aily Kho Weny Felita Alisa Nadhira Shofiy Indra Wijaya M. Wijaya A. Gunawan

Abstrak

In this era of society, various sectors, including the food and beverage industry, are keen on integrating technological systems into their operational workflows to help the growth of the business itself. The adoption of technology systems in business processes, such as self-ordering system kiosks, tablets, or QR code menus, has become an emerging trend, including many stores, hotels, airports, and restaurants that eliminating inefficiency of manual ordering and reducing paper waste due to book menu. Many restaurants have been enabling customers to use a QR code method to order menus from their tables, which makes this study aim to examine the impact of self-ordering with QR codes within the scientific community. The literature review method is used in this research by analyzing 324 data encompassing a diverse range of sources, including articles, reviews, conference papers, books, and book chapters conducted since June 2023, spanning the publication years from 2018 to 2023. The analysis shows keywords related to self-service technology, technology acceptance, restaurant, etc. has been emerging trends within scientific community apart from there are gaps for further study. Nevertheless, self-ordering systems with QR codes are sought after for their potential to enhance efficiency and speed, reduce human error, save costs, improve the customer experience, and provide real-time order tracking. Using self-ordering is also related to the SDGs in improving industry, innovation, and infrastructure because it can support inclusive and sustainable industry.

Penulis (5)

A

Aily Kho Weny

F

Felita Alisa Nadhira

S

Shofiy Indra Wijaya

M

M. Wijaya

A

A. Gunawan

Format Sitasi

Weny, A.K., Nadhira, F.A., Wijaya, S.I., Wijaya, M., Gunawan, A. (2024). A bibliometric analysis of self-ordering systems research using vosviewer. https://doi.org/10.1051/e3sconf/202450101008

Akses Cepat

Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1051/e3sconf/202450101008
Akses
Open Access ✓