The purpose of the study is to analyze the impact of e-quality services on consumer satisfaction and loyalty in Nigeria. A cross-sectional research design was adopted using a well-structured questionnaire to elicit information for 408 postgraduate students currently studying in Nigerian universities. The research instrument was validated, while data collected were analyzed using the Statistical Package for the Social Science (SPSS) and Structural Equation Modeling (SEM) for hypotheses testing. The result revealed a statistically significant positive relationship among consumer satisfaction, loyalty, e-service quality and their dimensions while the findings established trust and satisfaction as prominent mediators for online purchases. This research contributes to the study of online shopping and e-loyalty by developing a model on the construct within the e-commerce context and suggesting possible factors that may influence quality service decisions.

Nowadays, companies offer product bundles with special discounts in order to sell more products. However, it is important to note that customers show different levels of loyalties to companies, and each segment of the market has unique features, which influences the customers’ buying patterns. The primary purpose of this paper is to propose a novel model for product bundling in e-commerce websites by using market segmentation variables and customer loyalty analysis. RFM model is employed to calculate customer loyalty. Subsequently, the customers are grouped based on their loyalty levels. Each group is then divided into different segments based on market segmentation variables. The product bundles are determined for each market segment via clustering algorithms. Apriori algorithm is also used to determine the association rules for each product bundle. Classification models are applied in order to determine which product bundle should be recommended to each customer. The results demonstrate that the silhouette coefficient, support, confidence, and accuracy values are higher when both customer loyalty level and market segmentation variables are used in product bundling. Accordingly, the proposed model increases the chance of success in direct marketing and recommending product bundles to customers.

Electronic commerce is a way of sale that has come to stay. It helps companies to overcome physical barriers, and in theory, it increases their sales. However, does electronic commerce have any impact on the firms' revenue? This research sought the answer by employing OLS and quantile regressions in a sample of 2164 Peruvian retail firms. The dataset was obtained through the INEI economic survey of 2019, which was the last one. For methodological purposes, electronic commerce was compared against the other sales channels employed by the studied firms. It was found that electronic commerce positively impacted the income in firms with more enormous revenues but was still low compared with traditional commerce forms.

This study intends to evaluate the impacts of implementing online marketing strategies on Iranian ecotourism industry. The study had eight hypotheses which were designed based on economic, sociological, and cultural aspects of Iranian ecotourism industry. The results indicate that the expansion of online marketing increased the number of foreign tourists who visited Iran’s natural tourist attractions, while it had no significant impact on the number of domestic tourists who visited these tourist attractions. The results also indicated that online marketing did not increase the amount of investment in Iranian ecotourism industry. Additionally, online ecotourism marketing did not have a significant influence on the total number of travels to Iran’s historical tourist attractions. Respondents believe implementing online marketing strategies in Iranian ecotourism industry helps Iran expand its cultural tourism in rural areas and it expands its hospitality industry; they also believe that online marketing helps to create more jobs in Iranian ecotourism industry and to improve working conditions in this industry.

Nowadays, new technologies have changed the way of serving customers in many service organizations including banking industry. The importance of websites and their exclusive characteristics in presenting various kinds of services to the bank customers has increased. This paper presents a compound model to investigate the effect of traditional and online elements on customers & apos; trust in electronic banking and word of mouth advertisement. For this purpose, a standard questionnaire based on Likert segmentation has been used and 384 customers of Shiraz Mellat bank branches have been tested, randomly. Using structural equation modeling, the study shows that both traditional characteristics of bank and website characteristics rather have positive effects on customers’ trust in electronic banking, which increase word of mouth advertising, positively.

The purpose of this research is to investigate the status and the evolution of the scientific studies on the effect of social networks on e-commerce. The study seeks to address the status of a set of scientific productions of researchers in the world indexed in Scopus based on scientometrics indicators. In total, 1926 articles were found and the collected data were analyzed using quantitative and qualitative indicators of scientometrics with bibliometrix R software package. The findings show that researches have grown exponentially since 2009 and the trend has continued at relatively stable rates. Thematic analysis shows that the subject had a significant but not well-developed research field. There is a high rate of cooperation with a rich research network among institutions in United States, European and Asian countries. Studies also show that research interest in this area is prevalent in developed countries. In addition, the lack of funds and complex analytical tools may be due to lack of studies in developing countries, especially in Africa. The study of the global trend of research through scientometrics helps managers and researchers in identifying countries and institutions with the greatest potential for scientific production, which allows them to develop their professions.