The paper explores how social influence and consumer engagement affect the purchase intention of complementary and alternative medicine. The study aimed to investigate consumers of alternative medicine within Indonesia. The study provides practical insights into enhancing marketing strategies and strengthening consumer engagement with complementary and alternative medicine (CAM) by understanding these factors. A quantitative approach was used, involving a sample of 580 complementary and alternative medicine consumers in Indonesia. Participants were selected using purposive sampling criteria, which included individuals aged 17 years and older who had consumed CAM at least twice in the month. Data analysis was conducted using SmartPLS4 as the analytical tool. These insights offer a deeper understanding of how consumers behave in relation to alternative medicine, which can assist healthcare professionals in formulating more effective, targeted approaches to encourage the adoption of alternative medicinal practices.

This study aims to describe, analyze, and interpret the role of multi-set data consistency in regional development planning in Kebumen Regency, Central Java Province, Indonesia. This study uses qualitative research methods. The selection of informants used purposive and snow-ball sampling. Data collection uses in-depth interviews, observations, and documentation. Data analysis was carried out through open coding, axial coding, and selective coding procedures. The validity of the data is determined through an examination technique based on the criteria of credibility, transferability, dependability, and confirmability. The results of the study show: (1) Regional development planning policies, which regulate the process and stages of the preparation of regional long-term development plans/RPJPD, regional medium-term development plans/RPJMD, and regional development work plans/RKPD were developed in the process of preparing the three regional development planning documents of Kebumen Regency to meet local needs; (2) The process of preparing the 2005–2025 RPJPD, 2006–2010 RPJM, 2010–2015 RPJMD, and 2006 to 2014 RKPD uses a technocratic approach that emphasizes the importance of multi-sector data (3) Factors that affect the process of preparing and documenting regional development planning documents are compliance in the hierarchy of multi-sector existing data administration, the development of regulations for the implementation of regional development planning policies, the existence of existing multi-sector planning data documents national, provincial, and regional development documents related to development planning, as well as the use of technocratic approaches; (4) The 2010–2015 RPJMD is inconsistent with the 2010–2015 RPJPD.

The Project Management Office (PMO) has different roles, but if it is concluded that the existence of this PMO will be needed by the project. Factors contributing to project performance include support from the PMO. PMO at PT. XYZ will begin to be implemented starting in 2019. From 2019 to 2022 work on 3 project assignments from the local government. In practice, there were problems where 2 of the three projects experienced delays in completion and 1 other project experienced payment delays, where the risks to the project have not been optimally managed. This study aims to identify the role of the project management office (PMO) owned by PT. XYZ, identify risks in PMO management and identify the role of PMO that has the most influence on risk-based project performance at PT. XYZ. The research method used in this study is a survey method for several respondents where the previous questionnaire was validated by experts and a pilot survey was carried out and the results of the questionnaire will be analyzed using the SEM method. This is to be able to provide results if risk control in PMO management is carried out effectively or on target so that it can improve project performance at PT. XYZ.

The importance of green building concepts is emphasized in the current era due to the drastic decline in global climate conditions. However, their development is hindered as they are primarily applied to new buildings, while almost two-thirds of the world's buildings are already constructed. This study aims to improve the efficiency of Green Retrofitting, accelerating the growth of green buildings in Indonesia. It identifies the procurement and permitting processes for Green Retrofitting in high-rise office buildings in Jakarta, along with high-risk activities from these processes. Additionally, it develops a model of the relationship between these high-risk activities and the implementation efficiency of green retrofitting, using a Monte Carlo approach based on the Regulation of the Minister of Public Works and Housing No. 21 of 2021 and the Green Building Council Indonesia. The analysis uses data from 26 expert respondents on green retrofitting procurement and permitting, finding 83 activities with 214 risk indicators influencing green retrofitting efficiency, including 57 high risks. Identifying the most risky activities, the study develops a relationship model and conducts simulation and optimization to improve project time efficiency, ultimately accelerating the growth of green buildings in Indonesia.

This study examines how customer incivility, career opportunities, emotional exhaustion, and schedule i-deals influence job satisfaction and turnover intention among frontline sales and collection employees in Indonesia’s financing (multifinance) industry. Grounded in Job Demands–Resources (JD-R) and Equity Theory, the model positions customer incivility as a key social demand, career opportunities and schedule i-deals as resources, emotional exhaustion as a strain outcome, job satisfaction as the core attitudinal response, and turnover intention as the proximate withdrawal cognition. Data were collected through a cross-sectional survey and analyzed using covariance-based structural equation modeling (CB-SEM) with LISREL 8.7 on responses from 438 employees across seven financing companies. The findings indicate that customer incivility and emotional exhaustion undermine job satisfaction and increase turnover intention, whereas career opportunities and schedule i-deals enhance job satisfaction; job satisfaction, in turn, reduces turnover intention and mediates the effects of key demands and resources on turnover intention. Practically, financing firms should prioritize customer-mistreatment controls, exhaustion prevention, credible career pathways, and negotiated schedule flexibility to stabilize frontline retention.

This study aims to analyze the strategic leadership model, business model innovation, and product innovation to improve performance of State-Owned Business Enterprise. This study employed a quantitative research method and reported the results of a survey using a questionnaire with a population of 28 SOEs in Indonesia engaged in the food and fertilizer industry. Analysis was carried out using SmartPLS software, which consists of descriptive statistics, measurement model evaluation, structural model evaluation, and hypothesis testing. Results of this study indicate that influence of strategic leadership is significant on business model innovation. The influence of business model innovation is significant on product innovation and on company performance. However, influences of strategic leadership on company performance and product innovation are not significant, and influence of product innovation on company performance is also not significant. Strategic leadership has a significant impact on the decision-making process, thus it can facilitate organizations to implement effective strategies designed to achieve optimal performance. Companies that implement strategic leadership have potential to improve performance through the implementation of good planning, motivating, directing, developing employee capabilities in product innovation and business model innovation, as well as communicating company's long-term vision or goals.

This study aims to examine spatial disparities in tourism development within the marine conservation area of Nusa Penida, Bali. It further seeks to formulate an equitable blue economy policy pathway that integrates environmental conservation, spatial justice, and community participation through a stakeholder-driven framework. The research applies a spatial descriptive analysis to identify patterns of tourism infrastructure, service distribution, and accessibility across Nusa Penida’s western, central, and eastern regions. In addition, a policy evaluation using the MULTIPOL (Multi-Policy) method was conducted, involving expert-based Focus Group Discussions (FGDs). The MULTIPOL framework evaluated three policy scenarios using five criteria: ecological sustainability, social inclusion, spatial equity, economic feasibility, and institutional support. Findings reveal a strong spatial imbalance, with development and tourism investment highly concentrated in the western part of the island. This has led to environmental stress in overdeveloped areas and exclusion in underdeveloped regions. The preferred scenario, Equitable Blue Economy, highlights institutional strengthening, adaptive spatial zoning, and empowerment of local communities. This model aligns with local Balinese values such as Tri Hita Karana, reinforcing policy legitimacy and sustainability. Comparative insights from similar island contexts globally support the relevance of participatory and spatially integrated planning. Tourism development in marine conservation areas like Nusa Penida must not only pursue economic growth and environmental preservation but also ensure social equity and spatial justice. The integration of community values and participatory governance is essential to achieve a resilient and just blue economy model.

The development of Indonesia’s aircraft component supporting industry requires a systematic understanding of the factors that drive and inhibit industrial capability enhancement. This study identifies and analyzes 22 critical success factors (CSFs) using the Decision-Making Trial and Evaluation Laboratory method to uncover their causal structure and relative influence. Expert evaluations were obtained from government policymakers and practitioners within the aircraft component supporting industry, and these inputs were used to develop the direct-relation, normalized, and total influence matrices, enabling a comprehensive cause-effect analysis. The results reveal a clear hierarchical structure in which several factors, particularly research and technology, market conditions, performance capability, technological infrastructure and availability, safety, technological reliability, and management support, emerge as primary causal drivers within the ecosystem. These elements exert significant influence on downstream factors, such as industry-government coordination, customer support, measurable demand, team composition, team competency, and contractual aspects. The findings emphasize that strengthening technological infrastructure, regulatory facilitation, and internal managerial capability is essential for improving supplier readiness and integrating domestic firms into global aerospace value chains. This study contributes to the literature by demonstrating the applicability of DEMATEL in structuring industrial development priorities within emerging aerospace economies. Practically, the results offer policymakers and industry leaders a strategic foundation for directing investments, designing capability-building initiatives, and formulating long-term industrial development strategies.

This study aims to develop and test an integrative model of the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to explain farmers' intentions to adopt artificial intelligence (AI) in the agricultural sector. The model positions Perceived Ease of Use (PEOU) as an initial determinant influencing Perceived Usefulness (PU), Attitude Toward AI (ATT), and Behavioral Intention to Use AI (BI), both directly and through mediating mechanisms. The study employed a quantitative explanatory design with a cross-sectional survey approach. Data were collected from 203 respondents, consisting of farmers and MSMEs and small-to-medium-scale agricultural businesses in the Greater Bandung area, from January to March 2024. The research instrument was an online questionnaire with a five-point Likert scale, and data analysis was conducted using covariance-based Structural Equation Modeling (SEM). The results showed that PEOU had a positive and significant effect on PU and ATT. Furthermore, PU, ATT, Perceived Behavioral Control, and Perceived Social Norms were shown to increase the intention to use AI in agricultural activities. Mediation tests confirmed that PU and ATT act as partial mediators in the relationship between ease of use and AI adoption intention. These findings emphasize that AI adoption in the agricultural sector is a gradual process that simultaneously involves cognitive, affective, and social factors. Theoretically, this study strengthens the relevance of TAM–TPB integration in the context of modern agriculture, while practically providing a basis for formulating strategies to accelerate sustainable digital transformation in agriculture.

Companies strive to improve performance by adopting a green supply chain, integrating suppliers and customers to maintain product quality through supplier selection decisions. The purpose of this study is to examine the relationship between supplier selection decision-making and firm performance, with supply chain integration, green supply chain practice, and supply chain quality as intervening variables. Data collection was conducted at manufacturing companies by distributing questionnaires directly to practitioners and providing online links for respondents to complete. The results of data collection for this study amounted to 174 questionnaires ready for further processing using SmartPLS. The results of data processing show that supplier selection decision-making directly influences supply chain integration and green supply chain practice but does not directly impact supply chain quality. Supply chain integration plays a direct role in improving green supply chain practice, supply chain quality, and company performance. The green supply chain practice established within the company can improve supply chain quality and company performance. The company's ability to implement supply chain quality standards in its product production can improve its performance. The practical contribution of the research provides enlightenment for managers in designing appropriate policies and procedures in supplier selection that not only consider costs, but also encourage integration, implementation of green practices, improvement of supply chain quality, and ultimately strengthen company performance.