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.

Today, the ever-changing technology development is bringing an impact to the Malaysian retail industry. Smart Retail Technology is one of the outcomes of Industry Revolution 4.0 to deepen integration between digital and physical characteristics that can serve extraordinary shopping experiences in brick-and-mortar stores. Smart retail technology is attaining greater attention in the information system literature. In this study, the researchers aimed to investigate the relationships between perceived usefulness (PU), perceived ease of use (PEOU), perceived enjoyment (PE), perceived risk (PR), attitudes (ATD) and behavioral intentions towards smart retail technology (BI). The 170 respondents were collected through an online survey and processed in the PLS-SEM data analysis. The results indicated that perceived ease of use is the main variable influencing people's acceptance of SRT, followed by perceived enjoyment. However, perceived usefulness and perceived risk performed insignificant roles to link with attitudes and behavioral intentions towards SRT. This study provided some insightful implications for both academicians and practitioners to understand the current situation of smart retail technology in developing countries, especially Malaysia.

Recently audio and video material has been used significantly in various online platforms. The audio-video materials enhance the teaching and learning process by facilitating the transformation of the data and providing a richer interactive environment, hence gaining wide intention within the educational realm. However, empirical studies have not examined the acceptance of the audio and video material depending on a conceptual model where acceptance is the key factor. The present study attempts to overcome this gap in the literature review by investigating the effects of media richness, speed and vividness, perceived concentration, perceived ease of use, perceived usefulness on the acceptance of audio-video material. What distinguishes the current study is the fact that content richness is considered as a mediator that affects all other factors in the conceptual model. The data is collected by distributing the online survey to college students. The results provide mostly insight and support for students’ intention to use audio-visual resources in a conceptual model. The technology characteristics of speed and vividness as well as TAM constructs were significant predictors of technology acceptance. However, it is concluded that the external factor of the perceived concentration has no impact on the students’ perception and intention to use audio-visual resources. In the recommendation, some theoretical and practical implications are stated along with the focus on technology designers, change managers, and users.