This study aims to analyze the effect of social communication on sustainable territorial performance at the Iskandar Muda Military Command in Aceh. The research sample consisted of 326 Village Supervisors (Babinsa) who were recruited through an invitation to complete a questionnaire distributed via official TNI communication channels with a survey link on Google Forms. Data were collected using a structured questionnaire designed to gather demographic information of respondents and research variables, including social communication, sustainable territorial performance, territorial responsiveness, and territorial loyalty. The questionnaire consisted of two parts, utilizing a 5-point Likert scale to measure respondents' levels of agreement with the statements. Data analysis was conducted using Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) approach. The results indicated that territorial responsiveness and territorial loyalty do not mediate the relationship between social communication and sustainable territorial performance. However, both variables have a direct positive and significant impact on sustainable territorial performance. Additionally, social communication was found to have no direct effect on sustainable territorial performance, territorial responsiveness, or territorial loyalty. These findings provide important insights into the relationship between social communication and territorial performance, as well as implications for management practices in military settings.

The role of the clove industry in Indonesia's economy is crucial, as it makes a substantial contribution to the GDP and export figures. Despite experiencing growth overall, clove farmers face various challenges such as price fluctuations, climate change impacts, and limited market access. By analyzing data spanning from 2014 to 2021, this research anticipates a continuous increase in production levels but foresees a decrease in export numbers. Proposed policy measures include providing financial assistance, promoting education, enhancing infrastructure, developing markets, and ensuring environmental sustainability. It is crucial to focus on credit availability, incentives, and subsidies, while also improving agricultural education, infrastructure, and sustainable farming methods. A comprehensive approach across eight key policy areas is necessary to strengthen the clove industry in Indonesia. By addressing these challenges holistically, the clove sector can look forward to a resilient and sustainable future, maintaining its importance in the country's economic landscape.

This research investigates the impact of stimulus, capability, collusion, opportunity, rationalization, ego, lack of empathy, and spirituality on financial reporting fraud. This chapter also explores how social media can moderate these impacts as a channel for whistleblowing information. Based on balanced panel data with a sample of 441 research data, the research focuses on commercial banks registered with the Financial Services Authority, Indonesia, from 2016 to 2022. The research results reveal that opportunity has a negative influence on fraudulent financial reporting; lack of empathy also has a negative influence on fraudulent financial reporting; lack of spirituality has a positive influence on fraudulent financial reporting; social media as an information channel for the whistleblowing system weakens the influence of lack of spirituality on fraudulent financial reporting, and social media strengthens the influence of opportunity and lack of empathy on fraudulent financial reporting. This research not only aims to bridge the research gap regarding financial reporting that contains fraud (fraud theory) but also provides practical insights and recommendations for regulators, especially in monitoring financial reporting that contains fraud in the banking sector. Hence, these findings are very relevant and can be applied.

Supply chain resilience has rapidly expanded as a research area due to increased vulnerability to disruptions and uncertainties. Integration and re-engineering are essential components of a resilient supply chain that can improve its performance. Nevertheless, no one has yet investigated the effect of Artificial intelligence (AI) on the relationship between integration and re-engineering. Therefore, this study aims at investigating the roles of supply chain integration and re-engineering on supply chain performance. Similarly, it investigated the moderating role of AI in these relationships. This study develops a theoretical framework based on resource-based view and the social construction of technology theory. Based on a quantitative study of 564 responses collected from supply chain and clinical unit managers in the Qatari public healthcare sector, an empirical analysis was made using the partial least squares (PLS) path modelling technique. Results revealed that supply chain integration and re-engineering positively affect supply chain performance. Most significantly, these relationships are found to be positively moderated by AI. This study confirms the impact of supply chain integration and re-engineering on performance, providing empirical evidence for AI's role in strengthening these relationships.

This study examines the impact of social and economic factors on community adherence to COVID-19 health protocols in Surabaya, Indonesia, through a supply chain management perspective. It applies the five-component supply chain model encompassing supply chain policies, governance structures, consumer attitudes, process efficiency, and the integration of culture/technology. The primary data is derived from a survey of 119 participants, supplemented by secondary data on national health protocols and local COVID-19 cases. The analysis reveals critical gaps in compliance with health protocols, particularly regarding mask usage, social distancing, and avoiding crowded spaces. Specifically, only 17.6% of religious adherents follow these protocols, while 82.3% do not. In traditional markets, compliance stands at 19.2%, while 80.8% of participants ignore the guidelines. Among the youth, only 12.4% adhere to the protocols, with 87.6% disregarding them. The study highlights the need to improve the supply chain of public health interventions, from awareness campaigns (demand generation) to efficient delivery systems (process optimization) and monitoring mechanisms (evaluation and feedback loops). Emphasizing a supply chain approach, the findings suggest that strengthening the upstream (policy and governance), midstream (public behavior and attitudes), and downstream (cultural and technological adaptations) components can enhance compliance rates and reduce COVID-19 transmission. The study concludes with actionable recommendations, such as increasing public health awareness, strengthening governance frameworks, targeting interventions for vulnerable groups, and fostering multi-stakeholder partnerships to create a resilient health compliance supply chain in Surabaya, Indonesia.

Business Process Automation (BPA) is widely recognized for its potential in enhancing process efficiency, reducing costs, and boosting customer satisfaction, ultimately driving organizational success. This study makes a significant contribution to the existing knowledge on implementing Quality Management Systems (QMS) through BPA by offering a detailed analysis of their integration. By examining the motivations, strategies, and impacts, this research provides valuable insights for practitioners, academics, and decision-makers who aim to optimize quality management practices through automation. The findings demonstrate remarkable improvements in performance efficiency, error reduction, and flexibility in upgrading enterprise management systems. However, challenges related to technology integration and change management require careful planning and strategic alignment. This study offers critical insights for service-oriented organizations, highlighting the transformative potential of BPA in revolutionizing quality management practices and providing a comprehensive roadmap for organizations seeking operational excellence. Future research should focus on cross-industry comparisons and longitudinal studies to assess the sustainable impact of BPA. This research significantly enhances the literature on BPA and QMS, presenting both practical and theoretical implications.

This study aims to explore how service quality and police performance contribute to building public trust and enhancing overall satisfaction. In an era where public perception of law enforcement is critically important, understanding the key factors that influence trust in the police is essential. The research involved 306 police officers actively serving in the field, with data collected through a questionnaire distributed via Google Forms. The primary data were analyzed using the Structural Equation Modeling Partial Least Squares (SEM-PLS) method. The analysis results indicate that the service quality of police officers does not directly enhance public satisfaction, as police performance is not adequately supported by service quality. However, police performance significantly contributes to public satisfaction, as this effect is strengthened by trust as a moderating factor. Additionally, police performance does not act as a mediating factor in the relationship between service quality and public satisfaction.

Studies on the role of gender, family businesses, and non-family businesses in examining financial management practices, particularly in developing countries, have been largely overlooked. This research, based on the collaboration between Positive Accounting Theory (PAT) and Agency Theory, aims to explore the intervention of microfinance in micro and small agricultural enterprises (MSEs). Using a quantitative approach, the study employs the Structural Equation Model Partial Least Square (SEM-PLS) method with a sample size of 656 respondents, comprising ultra-micro and small business actors in the agricultural sector in Indonesia. The findings indicate that for micro-sized businesses, entrepreneurial success mediates the relationship between microfinance and subjective wellbeing, while in small-sized businesses, poverty reduction and entrepreneurial success fully mediate the relationship between ultra-microfinance and subjective wellbeing. Ultra-microfinance assists business owners in enhancing their financial resource capacity more easily. On the other hand, microfinance not only provides financial access but also offers training and mentorship programs, helping business owners achieve long-term success. The study also reveals that gender does not mediate the relationship between microfinance and subjective wellbeing. Gender inequality in accessing resources, differences in decision-making participation, and social norms that still limit women's roles in economic activities within the agricultural sector are contributing factors. The implication of this study is to provide insights for decision-makers in the agricultural MSME sector to enhance subjective wellbeing. It is hoped that poverty alleviation programs through microfinance initiatives, such as PNPM, can be optimally absorbed and have a positive impact on empowering business owners to reduce structural poverty, especially in the key sector of agricultural businesses.

This article aims to study technological intelligence in innovative startups in Algeria using Kerr’s model. Technological intelligence consists of four main dimensions: intelligent systems, competitive intelligence, market intelligence, and intelligent processes. To collect data, a questionnaire was distributed to a sample of 255 innovative startups in Algeria, and the data were analyzed using confirmatory factor analysis (CFA) with Smart PLS software. The results indicated that the two-dimensional model combining intelligent systems and competitive intelligence provided the best fit, with a relationship value of 0.605 between these two dimensions. On the other hand, the relationship between market intelligence and competitive intelligence was weak, with a value of 0.281, reflecting the limited use of analytical methods by startups to monitor competitors. Based on these findings, the study recommends that innovative startups in Algeria enhance their use of competitive intelligence and intelligent systems to improve decision-making processes. Additionally, these startups should make better use of available market technologies to develop their products and services, while focusing on continuous competitor analysis and identifying opportunities. In conclusion, technological intelligence is a strategic element for startups, helping them improve their performance and achieve a competitive edge in the changing business environment in Algeria.

Manufacturers employ AI for monitoring vehicle mileage, inspecting components, and scheduling maintenance. Past studies underscore the need for auto-related plans to prioritize environmental protection, concentrating on AI-driven environmental solutions promoted by AI for Good. AI enhances brand success by improving investment, technology, and promotional capabilities. This study emphasizes consistency in AI application across the automotive value chain for brand sustainability. A web-based poll surveyed 120 AI users in marketing, HR, sustainability, as well as 180 sustainability specialists and regulators. The primary goal is to assess, via structural model evaluation, how extraneous variables affect the development of AI-powered brand sustainability strategies. The study highlights AI's sustainability benefits in the automotive industry improving transportation safety, forecasting maintenance, and creating eco-friendly vehicles. However, challenges involve over-reliance on AI, predicting human behavior, and addressing sustainability threats. AI development should consider regional differences, prioritizing openness, policy harmony, and consumer agency. These findings aid marketing and HR professionals in devising customer-centric long-term plans.