The construction of smart villages has begun in many Indonesian villages, along with the advancement of technology and local economic growth. Villagers must participate in constructing the smart economy-smart village by becoming familiar with the characteristics of the village's inhabitants using the citizen science model. This study intends to categorize villagers so that researchers can assess and decide their level of readiness for a smart economy in an ecosystem based on a smart village. Clustering is required to find communities of residents who are ready based on their traits. Using fuzzy C-Means with a Davied Bouldin Index value of 0.129, the data were divided into 4 clusters. The most important variables were chosen using information from the test's 300 responders, and the Kaiser Mayer Olkin assumption of 0.975 was used to validate the results. Our paper provides new information on how smart village readiness is assessed by the citizen science cluster. It was decided to divide residents into four groups: those who are less prepared (24.33%), those who are somewhat prepared (29.33%), those who are ready ( 25.67%) %), those who are ready (level of participatory knowledge), and those who are very ready for the smart economy (20.67%) based on the cluster model.

The woodcraft industry has been developing in Bali for more than half a century in the form of family business (SMEs) which is currently managed by the third generation or the transition from the second to the third generation, where this phase is the climax of the family business. Apart from contributing to tourism, this craft business also has cultural values. Moreover, the tourism situation and macroeconomic shocks have had an impact on business conditions. This research aims to analyze the performance of a woodcraft family business based on a family and financial approach, through a two by two matrix analysis as well as to analyze the determining factors of willingness to succession of woodcraft family business in Bali, with MICMAC analysis. The results show that the performance of the family business in this case is high emotional but low financial capital. There are 18 identified factors related to the willingness to succeed in the woodcraft family business, and the most influential factor (existing and forecasting) is the participative leadership style, while the most dependent is personal interest which is the involvement of the successor from an early age in family business activities.

This research investigates the impact of inflation on income inequality in Indonesia. This study is part of a comprehensive examination investigating which monetary policy can be utilized to lessen inequality. As a central bank objective, inflation can influence the distribution of income, wealth, and endogenous consumption, hence defining inequality. This study employed dynamic panel data analysis for linear autoregressive data using the generalized method of moments (GMM) for both first differences GMM (FD-GMM or AB-GMM) and system GMM (Sys-GMM or BB-GMM) with regional data from 58 cities in 2010-2020. The Arellano-Bond estimator reveals a positive and statistically significant association between inflation and inequality. When inflation rises, the purchasing power of the poor will decline, while the wealthiest will benefit as their non-cash assets proliferate. This study finds, indirectly, that Indonesia’s monetary policy can play a crucial role in lowering income distribution gaps. As one of the nations with an inflation-targeting framework, the Indonesian Central Bank can target the inflation rate by considering inequality. The ITF becomes the most effective monetary policy for stabilizing prices and promoting economic stability. The ITF reduces income inequality by reducing inflation rates. The study also finds that, similar to other emerging nations, economic growth in Indonesia exacerbates inequality. Poverty can be reduced by increased economic growth, but the positive impact of development on the wealthy is significantly more significant than on the poor. Therefore, economic expansion increases inequality.

Technology is becoming a trend, so this research examines technology information as a driver of productivity for small or medium industries (SMEs). This research examines the impact of innovation on the performance of small and medium enterprises, the impact of information technology on industrial performance, and the role of information technology as a mediator of innovation on company performance. Data was collected through an online survey. The total population is 346, so that many questionnaires were distributed to MSMEs using path analysis and Smart PLS as processing tools. The findings are that innovation has an influence on increasing the productivity of small businesses, innovation has a positive role on information systems, remains insignificant on the performance of industrial Performance, and information technology does not mediate the relationship between innovation and performance. So it can be said that innovation plays an important role in improving company performance.

The aim of this research is to analyze the influence of social presence on brand loyalty through functional value resonance in automotive consumers. This is a quantitative research approach. The purpose of the study includes automotive consumers in North Sumatera, Indonesia. The sample selection method is non-probability sampling, which does not ensure that every member of the population is sampled equally. In this study, purposive sampling was used with 205 respondents. Data is analyzed using the Partial Least Squares (PLS) approach using SmartPLS. The results of this study show that social presence had a positive and significant effect on brand loyalty for SUV automotive consumers in Medan City. Functional value resonance positively and significantly affects brand loyalty for SUV automotive consumers. Brand loyalty is influenced favorably and significantly through functional value resonance in automotive SUV consumers. Increased resonance of functional values can be achieved by companies by giving the impression that causes echoes from users associated with the value of SUV functions, such as improving the quality of reliable engines and creating security features so that they do not compete with competitors.

This study examines the impact of Social Media Advertising Content (SMAC) and Social Media Sales Promotion Content (SMSPC) on Brand Image (BI) and customer behavior (CB) within the emergent context of container food courts in Indonesia. Focusing on Jakarta and Surabaya, which are cities at the forefront of culinary innovation, this study aims to uncover how digital marketing practices shape consumer perceptions and behaviors in this novel sector. The study employed rigorous methodology, including G*Power for sample size determination and SmartPLS for data analysis, and engaged 292 participants through a carefully designed survey. The findings indicated significant relationships between SMAC and SMSPC on BI, and subsequently on CB, underscoring the critical role of social media content in enhancing BI and shaping CB. Additionally, this study examines the generational differences between Generation Y and Generation Z, offering insights into tailored marketing strategies that cater to their distinct preferences. This study enriches academic discourse on the impact of digital marketing in the food industry and provides practical recommendations for practitioners aiming to leverage social media to enhance BI and foster positive CB in container food courts. The insights gained from this study not only illuminate the dynamics of social media marketing in an Indonesian context but also suggest avenues for future research in an ever-evolving digital landscape.

The present study centered on the mediation of innovation and the moderation of collective organizational engagement in affecting human capital (a combination of skill and knowledge) on sustainable competitive advantage and further examined human capital, innovation, and collective organizational engagement impacts on sustainable competitive advantage. Subsequently, this study utilized a quantitative approach, engaging 270 sample frame SME units in Indonesia using a Likert scale questionnaire and examining it using SEM-PLS. The findings demonstrate that human capital positively and significantly impacted innovation and sustainable competitive advantage, indicating that a high level of business skill, business orientation, perception of risk, and know-how management enhances the organization’s innovation capability, creating distinctive, exceptional, and invaluable resources as core competencies of sustainable competitive advantage. This study confirms and advances the RBV theory and previous studies by examining intangible resources' mediating and moderating role, in which innovation contributes to mediating the effect of human capital on sustainable competitive advantage and collective organizational engagement reinforces (moderates) the impact of human capital on establishing sustainable competitive advantage. So, the results of this research illuminate the significance of human capital, innovation, and collective organizational engagement as the organization’s superior resources in manifesting sustainable competitive advantage.

Upstream textile companies in Indonesia are the most significant contributors to environmentally hazardous production waste. Green Transformational Leadership (GTL) is critical to achieving a Green Resilient Supply Chain (GRS) to address vulnerability to supply chain disruptions while maintaining environmentally friendly practices. In addition, the mediation of Green Ambidexterity (GAM) and Green Innovation (GIN) is believed to strengthen the achievement of GRS. In line with the Indonesian government's policy to protect the environment, this study examines the direct effect of green transformational leadership variables on a green resilient supply chain. It evaluates Green Ambidexterity and Green Innovation's mediating effect on the relationship between GTL and GRS. This study analyzes the data of 50 production managers of upstream textile companies from 87 respondents collected from the survey. The analysis uses PLS-SEM based on variance to verify the relationship between variables. The research results indicate that green transformational leadership significantly influences green resilient supply chains. It was found that both Green Ambidexterity and Green Innovation significantly influence the Green Resilient Supply Chain, both directly and through mediating effects. Therefore, managers should consider implementing a Green Resilient Supply Chain, Green Ambidexterity, and Green Innovation practices to improve organizational goals while maintaining a green environment.

This study investigates the impacts of environmental accounting, green supply chain management (GSCM), and import regulations on firm performance. Using a quantitative research design, this study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine 192 managers from the health equipment industry. The research employs a comprehensive array of measurement items derived from interdisciplinary literature to assess the intricate relationships among the primary variables in a multifaceted manner. This research underscores the favorable effect of environmental accounting on bolstering green supply chain management (GSCM) practices and dexterously navigating import regulations, which ultimately prove to be highly beneficial for a firm's performance. This study validates the potency of a circular economy approach, with resource efficiency emerging as a crucial aspect in maximizing both ecological and financial outcomes. The measurement model developed in this study is a dependable resource for future research and practical applications aimed at promoting sustainability in the industry.

The aim of this research is to analyze the influence of government policies in the field of audit and financial audit infrastructure in improving the smoothness of the supply chain and its implications for financial management compliance in regional apparatus organizations (OPD) within the Serang City Government, Banten Province, Indonesia. The sample in this study was 225 respondents consisting of 19 from Regional Apparatus Organizations (OPD) within the Serang City Government. Sampling technique using technique purposive sampling. Data collected through questionnaires was then analyzed using SEM-PLS. The results of research and data analysis show that: Government Policy in the Audit Sector directly has a positive and significant effect on the smoothness of the Supply Chain; Financial Audit Infrastructure directly has a positive and significant effect on the smooth running of the Supply Chain; Government Policy in the Audit Sector directly has a positive and significant effect on Financial Management Compliance; The government's Financial Audit Infrastructure directly has a positive and significant effect on Financial Management Compliance; The smoothness of the Supply Chain directly has a positive and significant effect on Financial Management Compliance in Regional Apparatus Organizations (OPD) within the Serang City Government, Banten Province, Indonesia. The smoothness of the Supply Chain is able to partially mediate Government Policy in the Field of Audit and Financial Audit Infrastructure on Management Compliance in Regional Apparatus Organizations (OPD) within the Serang City Government, Banten Province, Indonesia.