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This study aims to examine the influence of word of mouth on buying interest and its impact on the purchase decision of Muzan Net wi-fi services. This study uses three main variables, namely independent variables, bound variables, and intervening variables. The free variable is word of mouth, the bound variable is the purchase decision, while the intervening variable is the buying interest. The research sample consisted of 55 consumer respondents who knew and used the Muzan Net wi-fi service in Sanggrahan Village. Research data was obtained through questionnaires, observations, and interviews, with sampling techniques using the simple random sampling method. Data analysis is carried out through several stages, namely measurement or outer model, structural model or inner model, and hypothesis test. The results of the study show that word of mouth has a positive and significant effect on buying interest. Furthermore, word of mouth also has a positive but not insignificant effect directly on the purchase decision. Meanwhile, buying interest has been proven to have a positive and significant effect on purchase decisions. In addition, buying interest is able to mediate the relationship between word of mouth and purchase decisions, thereby strengthening the role of word of mouth in encouraging consumers to finally make a purchase decision. This research provides practical benefits for companies in maximizing word-of-mouth-based marketing strategies, as well as a reference for future research to develop similar studies with different objects, locations, and variables.

Digitalization has been a key catalyst for change in the global business landscape, driving the transformation of companies' strategies, organizational structures, and operational models. For small and medium enterprises (SMEs), digital technology opens up great opportunities to expand market reach and compete in the international arena more effectively. Technologies such as e-commerce, social media, big data analytics, and cloud-based platforms enable SMEs to break through geographical boundaries, facilitate access to global customers, and accelerate product distribution and marketing processes. This paper explores the current academic literature that discusses the influence of digital technology on the internationalization of SMEs. A total of five relevant studies were analyzed to identify common patterns, challenges, and successful strategies in the use of digital technology. The results of the study show that the adoption of digitalization not only improves operational cost efficiency, but also encourages business model innovation, such as digital platform-based marketing, cross-border virtual collaboration, and the development of a more adaptive global business ecosystem. In addition, the ability to utilize digital technology gives SMEs a competitive advantage through access to real-time market information, personalization of offers, and more targeted branding strategies. However, the research also found obstacles, such as limited human resources, technological infrastructure, and digital literacy among SMEs. Therefore, synergy is needed between business actors, the government, and academia to support the acceleration of digital technology adoption through training, mentoring, and policies that support innovation. The paper also highlights future research opportunities, such as the integration of artificial intelligence (AI) technologies, automation, and blockchain in supporting the global expansion of SMEs. These findings are expected to be a strategic reference in designing sustainable internationalization policies in the digital era.

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.

This research aims to analyze the consumer buying behavior consequential variables consisting of, Ecolabeling, Green Branding, Green Advertising, Environmental Knowledge, and Green Consumption. The sampling method used is non-probability sampling with purposive sampling technique. A total of 200 respondents had purchased or knew about environmentally friendly products and had ecolabeling labels. Data was collected through a cross-sectional questionnaire. Then the data was analyzed using SEM Structure Equation Modeling. The results of hypothesis testing show that there is a positive influence of Ecolabeling, Green Advertising, Green Branding, Environmental Knowledge, Green Consumption on Consumer Buying Behavior. The results of this research can provide input for entrepreneurs or companies that make environmentally friendly electronic products to further increase their green marketing and also product sales.                                                                  

Social media marketing activities are important for companies to market their products in this digital age, where they can help companies continue to compete in the market. Therefore, this study aims to determine the size of the influence of social media marketing activity, brand awareness, brand image to willingness to pay premium price which is mediated by brand equity in Skintific products. The population in this study were people who had bought Skintific products once or more in the Jabodetabek areas. This research is a quantitative study using primary data as well as data collection techniques carried out in this study, namely using questionnaires distributed questionnaires using a Likert scale of 1-5 and distributed to 114 respondents. The analytical tool used in this study is Structural Equation Model (SEM). The findings in this study show that social media marketing activity, brand awareness, brand image, brand loyalty have a significant effect on willingness to pay premium price. Then, this study has limitations, namely the number of samples that are still not large enough to describe the actual situation.      

With the rapid development of Internet technology, many companies are now using the Internet as a major platform in their marketing strategy of skincare products, mainly through social media. The research aims to explore the factors that influence the intention of buying skincare products on the TikTok platform by considering the role of brand image as a moderation variable. The research method uses descriptive causality with a quantitative approach, and uses purposive sampling techniques. Primary data obtained from 267 respondents active TikTok users who were interested in skincare products and collected through online questionnaires. Data analysis is done using Structural Equation Modelling-Partial Least Square (SEM-PLS). Research findings show that social media marketing activities, online customer reviews, influencer endorsement, brand image can improve purchase intention, while price consciousness does not affect the purchase intent of skincare products on Tiktok platform. Implications, skincare manufacturers and marketers should pay attention to branding strategies on TikTok's platform to boost purchasing intentions. Further research is suggested to explore other factors that can influence the intention of buying skincare products in the digital age.

This study was conducted to evaluate the effectiveness of brand image in mediating the impact of word of mouth (WOM) on the desire to purchase Mie Sedaap Korean Spicy Chicken products in the Tangerang City area. Through a survey involving 200 individuals selected based on purposive sampling, this research utilized the Partial Least Squares Structural Equation Modeling (PLS-SEM) model to process and analyze the data obtained. The results found indicate a positive impact of WOM on brand image and purchase intention, with brand image also functioning as a significant mediator in linking WOM with purchase intention. The conclusion of these findings underscores the need for effective marketing strategies in utilizing WOM to strengthen brand image, which in turn has the potential to increase purchase intentions among consumers.

This research aims to investigate the multifaceted components influencing the competitive edge of Small and Medium Enterprises (SMEs). The research model integrates financial knowledge, AI integration, human capital, and digital marketing to explore their collective impact on SME competitiveness. Through purposive sampling, SMEs across diverse sectors will be selected for in-depth interviews and focus group discussions. Data analysis will employ thematic analysis techniques to derive rich insights from qualitative data. The study anticipates uncovering nuanced relationships between the aforementioned variables and SME competitiveness. Findings will contribute to enhancing understanding of the intricate dynamics shaping SME competitiveness and inform strategic interventions to bolster their competitive edge in the market landscape.

This research is aimed to identify, describe, and develop strategies to enhance group members' commitment in the development of a health honey business using the Business Model Canvas (BMC). The study was conducted at KTH Bina Lestari in Ciamis Regency, post the Covid-19 pandemic. Data collection was carried out through interviews, observations, and documentation. Data analysis was used to assess internal and external factors to determine the highest priority for development and improvement. The research findings indicate that the selected priority strategies for honey business development in Kampung Madu are: 1) training and human resource development, 2) product quality improvement, and 3) product marketing optimization.  

This research aims to explore sustainable digital marketing strategies suitable for Micro, Small, and Medium Enterprises (MSMEs). The study employs a descriptive research model, utilizing purposive sampling to select participants with extensive experience in digital marketing within MSMEs. Data collection techniques include semi-structured interviews and content analysis of relevant literature. Thematic analysis will be employed to analyze the data, identifying patterns and themes related to effective sustainable digital marketing practices for MSMEs. The study anticipates uncovering insights into innovative and environmentally conscious digital marketing approaches that can be adopted by MSMEs to enhance their competitiveness while minimizing environmental impact.