This research aims to analyze and explain the influence of Brand Dilution on Brand Reputation, Brand Dilution on Brand Loyalty, Brand Reputation on Brand Loyalty, Brand Dilution on Brand Loyalty with Brand Reputation as mediation. This research is included in the type of explanatory research, using path regression analysis and a quantitative approach. This research was conducted at the MS Glow Clinic Malang with a sample size of 100 people. The sampling technique uses accidental sampling. Data collection was carried out by distributing questionnaires. The data analysis technique uses a range of scales and path analysis with the IBM SPSS version 21 computer program. The application of Islamic Business Ethics such as honesty and social care plays an important role in building brand loyalty by creating trust and a strong emotional connection between brands and consumers. The results of this research show that the Brand Dilution scale is in the very backward category, Brand Loyalty is in the very loyal category and Brand Reputation is in the very good category. Brand Dilution has a positive and significant effect on Brand Reputation, Brand Dilution has a positive and significant effect on Brand Loyalty, Brand Reputation has a positive and significant effect on Brand Loyalty, Brand Reputation cannot mediate Brand Dilution on Brand Loyalty because MS Glow's ability to survive makes consumers see it as a positive thing.

Social Enterprises (SE) are responsible for social and environmental issues. As a hybrid organization that combines the business and volunteer sectors, SE becomes an important tool in analyzing organizational settings and developing plans to achieve social goals. In this article it is emphasized that understanding business models is very important. The social business model (SEMC) and Business Model Canvas (BMC) are useful tools to help SEs create strategies that are responsive to the challenges they face. BMC uses a multidimensional approach to mission values ??and objectives, as well as a deep understanding of stakeholders, to become a powerful tool for driving progress and generating sustainable positive impact. Over time, social entrepreneurs will have to incorporate new principles into their practices. Our results also show that these sustainable and gradual techniques not only change value, but also influence the development of companies and the surrounding society. Therefore, this technique not only helps maintain the existing structure, but also helps make necessary changes. Finally, our research advances our understanding of social entrepreneurship and provides social enterprises seeking greater social change with practical insight.

More time can be identified by applying AI to Big Data analysis in order to automate business processes on the platform. With the advent of AI and machine learning technologies, businesses can now interact with customers automatically because these technologies can provide honest feedback directly from customers. Many businesses currently use chatbots, which enable employees to communicate with customers around-the-clock. In business, machine learning can help determine the status of goods shipment. Data-data is time-based information that is analyzed to make it suitable for determining the status of the transaction. In addition, the use of machine learning can provide information about often purchased goods and assist consumers in examining goods that are highly valued

Social Business combines a social mission with business principles to create a positive impact on society while ensuring financial sustainability. Lean Canvas, a tool developed by Ash Maurya, has been recognized as an effective method for quickly designing and testing business models. This study aims to analyze research trends on the application of Lean Canvas in social business using a bibliometric approach. Data were collected from major academic databases such as Google Scholar. The analysis was conducted using VOSviewer and Bibliometrix software, covering annual publication trends, geographical distribution, the most productive authors, the most frequently cited articles, collaboration networks, and main research topics. The results of the analysis show a significant increase in the number of publications on Lean Canvas in social business over the past decade, with a peak in publications occurring in the last five years. Publications are distributed globally, with the highest concentrations in the United States, the United Kingdom, and India. Several authors stand out as the most productive and influential. Collaboration network analysis reveals close relationships between researchers from various institutions and countries, reflecting strong international collaboration. Major research topics include business innovation, social sustainability, social impact, and Lean methodology. Lean Canvas has become an essential tool in social business, with increasing attention from researchers and practitioners. This bibliometric analysis provides deep insights into the trends, influence, and collaboration networks in this research area, and identifies the main topics that researchers focus on. The results of this study are expected to aid in understanding the development and future direction of research on Lean Canvas in social business.

Social, environmental, and governance issues are crucial for businesses today. Companies need to report their environmental concern activities in Environmental, Social, and Governance (ESG) reports. This research aims to understand the implementation of ESG in infrastructure programs in Indonesia. It employs a bibliometric approach based on international publication data sourced from the Google Scholar database, accessed via Harzing’s Publish or Perish. The findings of this study indicate that ESG serves as a fundamental framework for infrastructure companies in Indonesia to guide sustainable business practices. By integrating environmental, social, and governance aspects, companies can act as agents of positive change in society.
 
 

This study is to investigate the implementation of Good Corporate Governance (GCG) in the Indonesian banking industry through a bibliometric approach. Through bibliometric analysis, this study explores trends, patterns and research focus related to GCG in the Indonesian banking context. This research utilizes bibliographic data from various academic and professional sources relevant to the topic. Bibliometric methods are used to analyse the number of publications, related journals, the most productive authors, and the keywords most commonly used in literature related to GCG in the Indonesian banking sector. The results of the analysis prove that the implementation of good corporate Governance in banking in Indonesia is not running optimally. There are several factors which encourages good corporate governance not to be implemented in banking in Indonesia maximally, such as implementing transparency, accountability, responsibility, fairness and independence are not fully implemented in banking in Indonesia. The implications of these findings can provide guidance for practitioners, regulators and researchers to improve GCG practices and strengthen the stability and sustainability of the banking industry in Indonesia.