Abstract
Internet Shopping Optimization Problem (ISOP) is the application of optimization to online shopping activities of all complexity. The ISOP is useful for consumers in minimizing the cost of purchasing goods. This paper presents a bibliometric analysis of peer-reviewed papers based on ISOP topics by utilizing the R application program in the mapping. Overall, 101 papers (233 authors) in the Scopus database have used ISOP topics with research growth of 11.61% annually. The researcher presents a network of citations from productive authors, the impact of research, trends in terms that have been used, and shows a collaborative network of citations. Finally, the researcher presents the thematic analysis of the papers that apply the ISOP as a research topic and shows how the research forms clusters based on analytical solutions and numerical simulations that generate suggestions in finding the latest topics in the ISOP study. Another target for this paper is to produce review analysis results through Preferred Reporting Items for Systematic reviews and Meta Analyses (PRISMA). Through bibliometric and PRISMA analysis, it was found that the latest method in completing ISOP optimization is the ARC method. The ARC method in the ISOP is still little published among researchers in the world.
Highlights
Smartphone users continue to grow from time to time in line with the increase in people's online shopping activities
Within 10 years, the research has grown to cover 101 papers and this number is growing about 11.61% every year
This can be seen from the number of citations and the H-index scale collected from this research
Summary
Smartphone users continue to grow from time to time in line with the increase in people's online shopping activities. The rise of online shopping activities based on the internet has led to new studies in the field of optimization research. Research that examines online shopping has continued to increase in the last 10 years. The development of research on topics related to ISOP from year to year continues to increase. The increase in the number of studies indicates that the existing paradigm in the ISOP is increasingly complex and broad, resulting in researchers' interest in discussing it. In the last 10 years Tabu Search has been used to complete solutions for ISOP optimization. ISOP is an optimization topic in online shopping activities that minimizes purchase costs with all their complexities. Research on the topic of ISOP continues to emerge and experience good development when viewed from a variety of studies. Referring to the research of Chaerani et al (2021), that the ISOP with a model involving uncertainty parameters can be considered as a Maximum Flow Problem with Circular Demand (MFP-CD), which assumes the uncertainty problem into a polyhedral set
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