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The primary objective of this research is to analyze the current business situation of Esteh Indonesia's Franchise Model, identify factors affecting its sustainability, and develop a new business strategy for sustainable growth. The conceptual framework is based on Rothaermel's AFI Framework, incorporating a comprehensive analysis of the 7P Marketing Mix, industry analysis using PESTEL and Porter’s Five Forces, and core competency evaluation through the VRIO framework. The literature review highlights key theoretical foundations, including franchising strategies, critical success factors, franchising relationship models, and the concept of Blitzscaling. The research method utilized a mixed-method approach, collecting qualitative data through one-on-one in-depth interviews with ten franchisees selected via convenience sampling revealed operational and market challenges and quantitative data through an online questionnaire administered to 200 customers. provided insights into purchasing behavior and brand perception. The qualitative data was analyzed using thematic content analysis to identify patterns and insights, while the quantitative data was analyzed using descriptive statistical analysis and Likert scales to measure customer perceptions and behaviors. To achieve sustainable growth, Esteh Indonesia should adopt a multifaceted strategy leveraging strengths, addressing weaknesses, capitalizing on opportunities, and mitigating threats. Focusing on a differentiation strategy based on the Porter’s Generic Strategy, emphasizing market penetration and product development based on the Ansoff Matrix, and utilizing the BCG Growth-Share Matrix to identify and replicate high-performing outlets, providing enhanced franchisee support, and upgrading to the 'Esteh 2.0' model will boost sales and brand equity, driving sustainable growth and solidifying Esteh Indonesia's market leadership. [ABSTRACT FROM AUTHOR]

Bus rapid transit systems (BRT) have been an indispensable public transportation pillar, especially in densely populated regions. Accurate insight into the BRT network's utilization is vital in BRT resource allocation planning contexts. This research focuses on how operators can utilize passengers' smart card data to develop origin-destination (OD) matrix-based business analytics. This research proposes a hybrid approach combining trip chaining, direct pairing, mode estimation methods, and visual analytics development. The novel approach is robust in handling incomplete smart card data transactions to generate origin-destination matrices and corresponding visual analytics as decision support systems for the BRT operators. As a case study, we applied and validated the proposed analytics to more than 20.6 million smart card transactions in one of the largest global BRT systems in Jakarta, Indonesia. [ABSTRACT FROM AUTHOR]

Capital markets are essential for a country's development. However, the effort to develop a sustainable capital market may be challenged by many uncertainties, such as pandemics, politics, and investor behavior. This study aims to unveil the future of Indonesia's capital market and provide implications and options for stakeholders to develop a best-practice capital market. The scenario personarrative method, including cluster analysis, is used in this research as it can complement each other by signifying options to different types of investors. Data were gathered from interviews with 25 experts and a questionnaire survey of 438 respondents. With an analysis emphasizing the government's political direction and regulator ability, four transformative scenarios were constructed: (1) thin bull in the pastureland, (2) facing Torero in the bullring, (3) train the circus bull, and (4) world-champion bull. Eight personas were described, each with unique characteristics. Finally, 32 behavioral narratives were constructed based on the four scenarios and eight personas with the options provided. These results benefit stakeholders when deciding on acting in Indonesia's capital market. It is recommended that stakeholders carefully consider ensuring that Indonesia's capital market can achieve the world champion bull scenario in 2030. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between macroeconomic factors, firm financial position, and firm value in Indonesia's property and real estate sector from 2017 to 2022. The property and real estate sectors significantly influence Indonesia's economic growth. Nevertheless, the real estate sector has encountered significant obstacles in recent years, notably during the COVID-19 pandemic, due to volatility in interest rates, high construction costs, and the sluggish property market. This study aims to address the existing research gap by investigating the relationship between macroeconomic indicators, including GDP growth, inflation rates, and interest rates, as well as financial factors, such as profitability and leverage, on the industry's firm value over a specified timeframe. Using panel data regressions, the study analyzes 162 observations from 27 listed property and real estate companies. The empirical findings demonstrate that property and real estate firms have the potential to enhance their overall performance and increase shareholder value by considering the interconnectedness of economic conditions and the financial position of the firm. Profitability emerges as a significant predictor of firm value, while the selected macroeconomic factors have significant and insignificant effects on the valuation of firms. Meanwhile, since this industry has substantial leverage, this variable does not affect firm value. This study also highlights that the critical component that drives the evaluation of a firm's value is heavily influenced by the specifics of the industry and the regulatory framework in which the business operates. [ABSTRACT FROM AUTHOR]

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This article explores the challenges faced by PT Krakatau Steel (PTKS) in the steel industry in Indonesia and the strategies they can employ to optimize steel sales. The research methodology involves interviews with industry professionals and analysis of internal and external factors. The article highlights the impact of political uncertainty, global economic conditions, population growth, technological advancements, and environmental concerns on the industry. It also discusses the effects of government regulations and competitive forces in the industry. The document concludes with strategic recommendations and an implementation plan for the future. [Extracted from the article]

Despite the growing urgency, discussions about the diffusion of this technology are still challenging to identify and understand. Hence, it is essential to distinguish the diffusion of blockchain technology in society. This study developed the model and used a survey as a research strategy. Data were analysed using structural equation modelling. Furthermore, this study collected 96 respondents using a snowball sampling technique. The findings show that certain hypotheses resulted in diverging from the developed model. Blockchain adoption is suitable for today's problems and has a relative advantage over other technologies in influencing individual perceptions. However, the limited knowledge of society makes blockchain adoption only focused on a particular context. The role of the social environment is more visible in its significance on the intention to adopt blockchain technology along with individual perceptions. The research model attempted to extend the existing technology adoption behaviour theory widely used to understand technological adoption. [ABSTRACT FROM AUTHOR]