HRMARS is well established journal publisher based in Pakistan. It is publishing prominent journals in social sciences since 2011.

Although the issue of celebrity endorsement has been the subject of longstanding discussion, little attention has been paid to the impulse purchasing behavior of celebrity followers. This study was conducted from the relationship marketing perspective and tested the impact of parasocial relationships between celebrities and their followers on the impulse purchasing. The proposed model included parasocial relationships, followers’ emotional responses to celebrity-based commercials, impulsive buying tendencies, and the availability of money. Data was collected from people who follow a favorite celebrity who previously endorsed a product. We obtained 323 valid samples and performed data analysis with the Statistical Package for Social Sciences (SPSS) to test the proposed model. The study illustrated how situational, emotional, and personal factors might influence the impulse buying of celebrity-endorsed products and showed that a stronger para-relationship with the celebrity led to the audience’s pleasure and arousal while watching the celebrity endorsement. These two emotions were positively related to the impulse purchasing of celebrity-endorsed products and the purchasing behavior moderated by audiences’ impulse buying tendencies and money availability. This study investigated the celebrity endorsement’s influence on the audience’s impulse purchasing behavior and provided future research directions on celebrity endorsement.

E-commerce has been proposed as the new driver of the growth of any country’s economy. The SME sector plays an important role in contributing to the economy nationally as far as wealth creation by employees is concerned. SMEs in Saudi Arabia represent a significant portion of the productive units in the Saudi economy, and the government policies propose means to improve SME capabilities. Most Saudi Arabian SMEs have had reservations adopting aspects of their enterprises that are electronically delivered. Very few Saudi SMEs, mostly from manufacturing have implemented e-commerce. The results show that some of the hindrances to e-commerce in Saudi include cultural issues, business factors, and technical aspects. Among the facilitators were e-commerce awareness programs, government support for e-commerce adoption, a strong IT infrastructure, and programs for enlightening people. Although studies reveal that government promotions have very little influence on online trade in many countries, this paper has indicated that promotions from the government have boosted e-commerce in Saudi Arabia. This paper studies the challenges and obstacles facing Saudi Arabian SMEs in the adoption of online trade.

Breast cancer is the most prevalent type of cancer in women and has a significant economic impact worldwide. Consequently, there is a need to analyze the disease's research trend academically to determine the breast cancer publishing trend based on a certain period of its collection properties. Bibliometric analysis is used to examine the research trend in breast cancer care through time using various data. Several tools, including the PRISMA flow diagram, Microsoft Excel for frequency analysis, Harzing's Publish or Perish for citation metrics and other pertinent analyses, and VOSviewer for image visualization and bibliometric networks, were used to study this article. Using the TITLE search strategy and the Scopus database, 3,532 articles were located. It was discovered that the trends in research publications rose steadily from one year to the next. Between 1932 and 2021, 3,532 publications will be produced with a total of 61,274 citations, which breaks down to 688.47 citations per year, 17.35 citations per cited paper, and 4.02 citations per author. The United States, Italy, and the United Kingdom have produced the most co-authored works in this discipline. Even though the annual incidence rate of breast cancer remains high, these findings appear promising for determining the most effective treatments, procedures, and management strategies. The guideline standard requires further attention at a higher level.

At present, the development speed of international trade cannot catch up with the economic development speed, and the insufficient development speed of international trade will directly affect the rapid development of national economy. In order to solve the problem of international trade, the overall optimal scheduling of trade vehicles and the optimal planning of trade transportation path are very important to improve enterprise services, reduce enterprise costs, increase enterprise benefits, and enhance enterprise competitiveness. The second development of the program is based on the programming interface provided by Baidu map. This paper proposes a neural network algorithm for genetic optimization of multiple mutations, which overcomes the shortcoming of traditional genetic algorithm population “ten” character distribution by mixing multiple coding methods, and enhances the local search ability of genetic algorithm by introducing a new large‐mutation small‐range search population. The example application shows that the optimization method can realize the optimization of international trade path under real road conditions and greatly improve the work efficiency of actual trade.

HRMARS is well established journal publisher based in Pakistan. It is publishing prominent journals in social sciences since 2011.