Tidal flooding in Sayung District, Demak Regency, provides concrete evidence of the impacts of climate change and land subsidence in the northern coastal areas of Java, Indonesia. This study aims to analyze the level of community and individual resilience in facing tidal flood disasters using secondary data. Data were obtained from scientific publications, institutional reports, and disaster statistics from the National Disaster Management Agency (BNPB) and Statistics Indonesia of Demak Regency (BPS Demak Regency). The analysis focused on three main components hazard, vulnerability, and capacity which were then standardized using z-score transformation and combined to construct a composite resilience index. The results indicated that the level of community and individual resilience in Sayung District was generally moderate, with a total resilience index value of −7.944. 70% villages had moderate resilience. Village Loireng, Jetaksari, and Pilangsari were classified as highly resilient, while three villages were classified as having low resilience (Gemulak, Timbulsloko, and Surodadi). Social resilience is reflected in strong community cooperation, although prolonged exposure to tidal flooding shows signs of declining adaptive engagement among residents. Economic resilience is largely suppported by the continued viability of fisheries and aquaculture livelihoods, which remain central to local adaptive strategies. Meanwhile, environmental resilience is weakened by mangrove degradation and land subsidence. From an individual perspective, levels of disaster knowledge and social support contribute positively to adaptive capacity despite risk normalization behavior.

This study investigates how digital marketing shapes the income of Micro, Small, and Medium Enterprises (MSMEs) engaged in songket weaving in Ungga and Sukarara Villages in Central Lombok Regency, West Nusa Tenggara Province, Indonesia. Songket weaving is a culturally embedded craft, but its market prospects increasingly depend on visibility and engagement in digital channels. Using a quantitative design, data were collected from 100 songket weaver MSMEs through structured questionnaires and analyzed using partial least squares-structural equation modeling (PLS-SEM). Digital marketing is conceptualized through five dimensions, accessibility, interactivity, entertainment, trust, and informativeness, while MSME income is measured by monthly revenue and profit. The measurement model demonstrated satisfactory convergent and discriminant validity, as well as high reliability across all indicators. The structural model shows that digital marketing has a strong and statistically significant positive effect on MSME income (β = 0.747; p < 0.001), explaining 55.8% of the variance (R² = 0.558) with high predictive relevance (Q² = 0.671). These findings confirm that more intensive and higher-quality use of digital channels is associated with higher income for the songket weavers. The study concludes that targeted interventions, such as digital marketing training, content creation support, and facilitation of social media and marketplace usage, are critical to enhancing the competitiveness, resilience, and livelihood outcomes of traditional craft-based MSMEs in peripheral tourism regions like Central Lombok. This study contributes to the MSME and digital transformation literature by providing destination-specific evidence from a craft cluster in an emerging economy context and offering an empirically grounded basis for designing local government and development agency programs for the digital empowerment of artisans.

This study investigates the relationship between tourism development, total realized investment, and inclusive growth in Bali during the 2023 economic recovery period. The primary objective is to analyze how international and domestic tourist visits, along with investment inflows, influence inclusive growth across Bali’s regions. This study employs various econometric models, including linear trend analysis, multiple regression, and a spatial lag model (SAR) to capture the spatial dependencies between regions. Using data on tourist visits, realized investments, ICT use, labor force participation, and real per capita expenditure, this study builds an Inclusive Growth Index (IGI) for Bali. The results indicate that tourism and investment significantly contribute to inclusive growth, and spatial factors also play a critical role in determining regional disparities in growth. The findings have important policy implications for promoting sustainable tourism and investment strategies to ensure equitable and inclusive development across Bali.

This study evaluates the performance of a proposed model based on the Technology Acceptance Model (TAM) to forecast students' opinions of statistics education improved by advanced technology. Using a sample of 379 undergraduate students from Malaysia's East Coast, chosen by simple random sampling, this study examined six main constructs: social influence, self-efficacy, perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention. The measurement model was validated using confirmatory factor analysis (CFA), which found that each construct satisfied the necessary thresholds for model fit, dependability, and validity. Students' attitudes toward using technology were found to be influenced by perceived usefulness, social influence, self-efficacy, and perceived ease of use, according to a structural model examined using Covariance-Based Structural Equation Modeling (CB-SEM). Attitude, perceived ease of use, social influence, and self-efficacy significantly affected behavioral intention; the direct path from perceived usefulness to behavioral intention was not statistically significant. Four major mediation effects were also found, which emphasizes the importance of attitude in connecting the antecedent variables to behavioral intention. Thus, by using the digital education for statistics course, the model under test is also sufficient to match the present development and will be helpful for future studies.

The Household Farmer's Exchange Rate (NTPRP) is an indicator of farmer welfare in Indonesia. Farmers' purchasing power can be predicted through the NTPRP. The problem faced by farmers is low income, caused by farmers' expenditures on production inputs not being commensurate with their farm income. Furthermore, low income means that farmers' purchasing power for household consumption is insufficient to meet their basic needs. This study aims to analyze the income of farmer households, the level of farmer welfare with the NTPRP, and the determinants of farmer welfare. This study used a survey of 168 rice farmers in Lampung Province who were selected by random sampling. Lampung Province was chosen purposively as one of the fifth largest rice producers in Indonesia. The research was conducted from February to May 2025. This study used an analysis of farmer household income, cost analysis, and binary logit analysis. The results showed that the income of farmer households derived from rice on-farm contributed significantly to the household income of farmers, and the level of welfare based on the net total revenue to total cost of production of farmers in a less prosperous condition. The determinants of farmer welfare showed that rice farming income and off-farm income were positive and significant to farmer welfare, while food consumption expenditure was negative and significantly affected the welfare of rice farmer households in Lampung Province. The results of this study recommend that farmers diversify their income with the support of the agro-industry in rural areas, ease of access to modern technology, and the government needs to provide superior seeds, fertilizers, mini-mechanization, and sustainable intensification through farmer development and institutions.

In the context of rapid economic change and increasing skill mismatches in Malaysia, understanding how private sector employees pursue continuing professional development has become a critical workforce development concern. This study explores the key factors motivating private-sector employees in Malaysia to enroll in executive academic programs, the benefits they expect, the skills most demanded by industry, and the learning structures and communication approaches that shape participation decisions. Data were collected using a drop-and-collect method and mail surveys, resulting in a final sample of 210 private sector employees. The findings indicate that career advancement, skill development, and networking opportunities are the primary drivers of participation. Leadership, critical thinking, problem-solving, and technical competencies such as financial management and data analysis emerge as the most sought-after skills. Respondents show a strong preference for hybrid learning formats and shorter program durations, alongside digitally mediated and personalized information channels when considering program enrollment. The findings provide practical insights for higher education providers, employers, and policymakers in designing development-oriented learning pathways that support private sector workforce capacity building and sustainable career progression.

This study examines how employee capabilities and technology-mediated channels shape well-being in hierarchical hotel contexts marked by coercive leadership. Drawing on Approach–Avoidance Motivation and Diffusion of Innovation, we theorize a resource-and-channels model in which (a) Exapro-a capability bundle combining professional experience and proactive personality-enhances employee well-being, and (b) electronic diffusion of innovation (e-DOI) strengthens the welfare returns to Exapro by providing safer, auditable pathways for idea sharing when face-to-face voice is risky. We test the model using a three-wave longitudinal design across 26 three- to five-star hotels in Central Java and the Special Region of Yogyakarta (Indonesia) with N = 100 employees concentrated in frontline, rotating-shift roles. Using PLS-SEM (SmartPLS 4), measurement properties met recommended thresholds. Results show that the direct effect of despotic leadership on well-being is not significant (H1 rejected) once resources and channels are modeled. By contrast, despotic leadership positively predicts Exapro (H2 supported), Exapro positively predicts well-being (H3 supported), and e-DOI positively moderates the Exapro → well-being link (H4 supported). The model explains a moderate share of variance in well-being (R² ≈ .52). The findings reframe leader–well-being debates by demonstrating a suppressed/contingent direct effect of despotism and highlighting that what employees can do (Exapro) and how they can safely make it visible (e-DOI) are pivotal for sustaining well-being. Practically, hotels should build experience-based scripts, select/develop for proactivity, and institutionalize digital codification of micro-innovations while strengthening leadership accountability.