Electronic consumer relationship management (E-CRM) features are among the main factors contributing to the success of any ecommerce Web sites. E-CRM programmes and implementation should focus on effectiveness of managing consumer relations on the Internet through effective use of Internet features either to deliver updated and accurate information, offering customer service support as well as providing personalized and value-added services. Thus, the aims of this research are to identify E-CRM dimensions and perceived important features from a consumers’ perspective. The primary data for this research were collected through a questionnaire survey. To determine the dimensions of E-CRM, a factor analysis was performed.The findings reported 14 dimensions of E-CRM which were perceived as important elements affording consumers repeated visits and purchases. The limitations of the study and future directions of research are discussed herein.

The number of individuals willing to make purchases of goods and services over the internet has steadily increased over the past several years. Additionally, as a result of the pandemic, it has reshaped consumer behavior, making people more hesitant to leave their homes to obtain the things they need. Therefore, the safest method for them is to shop online. Consequently, we need to assess and investigate the quality of Malaysian e-commerce that has the potential to influence a consumer’s intention to make an online purchase. This research topic represents a limited investigation into how the standard of e-commerce in Malaysia may impact consumer preferences regarding online shopping. As a consequence of this, the primary goal of this research is to conduct in-depth studies and future research on how e-commerce quality influences customers’ intentions to shift from traditional purchases to online ones. It is crucial to conduct further research and explore the intentions of Malaysians to gain a better understanding of customers’ motives for making purchases. To obtain respondent samples for the study, researchers employed non-probability sampling strategies such as convenience sampling and snowball sampling. In this study, we also used social media to distribute 384 different sets of online questionnaires to random respondents for data collection purposes. Approximately 350 valid responses were collected from Malaysians who had made online purchases and were under the age of 40 using an online Google form. Subsequently, the Statistical Package for Social Science (SPSS) software was utilized to analyse the gathered data. In the final phase of this study, researchers will summarise and outline all findings from each test. They will then use multiple regression analysis to determine whether each variable (service quality, information quality, e-trust, and performance expectation) significantly affects online purchase intentions.

This study aims to investigate the influence of Search Engine Optimization (SEO) aspects on Online Promotion among Malaysian SME companies. The literature identifies four SEO dimensions that influence Online Promotion: SEO Connectivity, SEO Competitiveness, SEO Experience, and SEO Techniques. The online survey received 153 responses from Malaysian SME service providers. In addition to descriptive statistics, the data were subjected to Partial Least Squares-Structural Equation Modelling (PLS-SEM) analysis. The proposed framework builds a strong relationship between SEO Dimensions and Online Promotion for Malaysian SME businesses. According to the analysis findings, there is a significant relationship between SEO Competitiveness and Online Promotion for Malaysian SME businesses. In addition, the data found a significant relationship between SEO Experience and Online Promotion. The value of SEO Competitiveness and SEO Experience, as well as the responses to the study, show that these tactics are frequently used in Online Promotion for SME companies in Malaysia. The findings will help company decision-makers enhance their internet presence and reach. It may result in decreased marketing expenses and a rise in new clients, consequently boosting the company's sales revenue.

In early 2000s, Korean cosmetics and skin care products, also known as K-Beauty, started to gain popularity in the cosmetics and skincare products industry in Malaysia that was previously dominated by the Western countries. South Korea’s culture is fixated with youth and beauty and it was predictable that the skincare products used by its popular entertainment stars increase the interest of their beauty products across the globe. The aim of this research is to understand the purchase intention of Malaysian Females Gen Y towards Korean Skin Care products. Theory of Reasoned Action (TRA) is used to predict consumer’s behaviour and to explain the influence of price consciousness, brand image and celebrity endorsement to the purchase intention. Data were collected from 257 respondents through an online survey and was analysed descriptively. IBM SPSS software version 24 was used to test the hypotheses, and the results indicated that only Brand Image has an influence on the purchase intention of Malaysian Females Gen Y towards Korean Skin Care products. This research recommended that marketers develop and improve their strategies in terms of product pricing, branding and advertising and promotion to increase their potential appeal to consumers.

The purpose of this study is to investigate the factors that motivate people in Malaysia to interact with chatbots in their everyday lives. Because of this, the primary objective of this study was to determine the relationships between four different independent variables. These variables were perceived ease of use, perceived usefulness, social influence, and security concerns. The objectives of this research project have been accomplished through the collection of primary data using a survey developed in Google Forms and a Likert scale with five points. The general population of Malaysia served as the source for the samples taken. A total of 284 samples were collected through the use of a method called convenience sampling. Customers based in Malaysia who are already making use of chatbots make up the population of interest in this study. In order to verify the validity of the hypothesis, additional analysis of the data was carried out using the software programme Smart-PLS 4. The Unified Theory of Acceptance and Use of Technology, also known as UTAUT, was used as the basis for the modelling of the research effort that was conducted for this investigation. This study acknowledged that there were some limitations and offered several suggestions for how future research and business owners, particularly those engaged in e-commerce, can improve their competitive advantage. Those who participate in online business were singled out for special consideration.

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