Abstract:This study aims to map the development of scientific research on human capital, social capital, and the well-being of self-employed workers in the informal sector during the period 2015–2025. Employing a bibliometric approach…
pproach based on Scopus data, this study analyses 102 scientific documents through indicators of annual publication output, country contribution, institutional affiliation, citation level, co-authorship collaboration networks, and keyword co-occurrence using VOSviewer software. The analysis reveals a significantly upward publication trend, particularly in 2024 and 2025. China, the United Kingdom, and Indonesia are recorded as the countries with the highest publication contributions. The most cited article is the work of Prasetyo & Kistanti (2020), which comprehensively integrates human capital, social capital, and entrepreneurship as pillars of sustainable economic growth. Co-authorship network analysis indicates fragmented collaboration patterns, while keyword co-occurrence mapping identifies four main thematic clusters: (1) well-being and entrepreneurship; (2) social capital and human capital; (3) livelihood and the informal sector; and (4) knowledge and sustainable development. These findings suggest the need to strengthen cross-country research collaboration and to expand inquiry into the interaction between human capital and social capital in enhancing the well-being of self-employed workers in the informal sector, particularly in developing countries. This study contributes to the literature by providing an integrated bibliometric overview of how human capital and social capital are positioned in relation to the well-being of self-employed workers in the informal sector
Abstract:This study conducts a bibliometric analysis of literature (2015-2025) on Indonesian stock market resilience to Federal Reserve monetary policy shocks. Data were collected from Google Scholar using Publish or Perish 8 with…
h relevant keywords. A total of 82 publications with 476 citations (h-index = 9) were identified. VOSviewer was used for bibliometric analysis to map keyword co-occurrence in titles and abstracts. Network visualization revealed three dominant clusters: (1) Federal Reserve monetary policy and capital flow spillovers, (2) market volatility and investor behavior, and (3) financial resilience and domestic policy responses. The overlay timeline indicated a shift from spillover and volatility issues in mid-decade to resilience topics in recent years. The literature suggests that while the Indonesian stock market remains sensitive to Fed rate changes, it has shown growing resilience due to proactive domestic policy interventions
Abstract:This study examines the development of creative industry-based Micro, Small, and Medium Enterprises (MSMEs) in Ulunoyo District, South Nias Regency, with a focus on four main sectors: culinary, crafts, fashion, and music.…
. The purpose of this study is to describe the condition of creative MSMEs in Ulunoyo, identify the obstacles faced, and analyze the development strategies implemented by business actors to increase competitiveness. The method used is descriptive qualitative with data collection techniques through interviews, field observations, and documentation of 21 MSME actors in five villages. Data analysis was carried out through reduction, presentation, and verification of findings. The results show that the development of creative MSMEs in Ulunoyo is supported by the potential of community creativity, strategic location, and the existence of traditional markets as distribution centers. Development strategies include improving product quality, business diversification, design innovation, and the use of digital technology for promotion and marketing. However, a number of major obstacles are still encountered, including limited business capital, rising raw material prices, low managerial skills, lack of product innovation, limited market access, and high levels of competition. To overcome these obstacles, business actors carry out creative promotions, expand their collaboration networks, and utilize social media to reach a wider consumer base.
Abstract:Micro, small, and medium enterprises (MSMEs) in developing countries like Indonesia are highly vulnerable to financial risks yet often lack formal risk-management practices, relying instead on personal experience, intuition,…
ion, and culturally rooted local practices to navigate financial uncertainty. This study aimed to identify MSME owners' perceptions of financial risks, explore informal mitigation strategies based on local experience and community practices, analyze the influence of cultural norms and social networks, and propose a contextually grounded problem-solving framework. Employing a qualitative research design, the study used in-depth semi-structured interviews, direct observations, and document analysis with MSME owners, and analyzed the data using thematic analysis and triangulation to ensure credibility. The results revealed three primary financial risk-mitigation strategies: adaptive cash-flow management, reliance on social capital and local economic networks, and experiential diversification driven by local market knowledge. The findings demonstrate that MSMEs develop resilience through culturally embedded practices and social structures, confirming that interventions should leverage existing informal mechanisms and integrate culturally compatible tools rather than imposing rigid formal frameworks.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.
Abstract:This study aims to analyze human resource (HR) management planning, identify obstacles, and formulate efforts to support the digitalization of school management. The study used a qualitative descriptive approach with in-depth…
depth interviews, observation, and documentation techniques with the principal, vice principal, teachers, and administrative staff. The results showed that HR planning at SMK Negeri 2 Gunungsitoli was carried out through three main steps: (1) needs analysis and preparation of technology-based teacher formation, (2) competency mapping and identification of information and communication technology (ICT) training needs, and (3) empowerment of teachers and staff through workshops, mentoring, and discussion forums. Obstacles faced included limited digital literacy among teachers and staff, unequal network access, and resistance to changes in technology-based learning methods. Efforts made by the school included providing digital literacy training, optimizing available devices and networks, utilizing offline learning applications, and creating a work culture that is adaptive to innovation. This study concluded that targeted HR planning, infrastructure support, and continuous competency development are important factors in realizing effective digital transformation in schools. These findings are expected to be useful for SMK Negeri 2 Gunungsitoli, other educational institutions, and further researchers in developing digitalization strategies for school management.
Abstract:The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.…
Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.
Abstract:This research aims to determine the form of cooperation development between the Unesa Faculty of Economics and Business and partners from various institutions both domestically and abroad in order to achieve a Faculty with…
th a global reputation. The research method used is a qualitative method where data collection is carried out by conducting in-depth interviews, observation, documentation and Focus Group discussions. The results of this research show that the development of partnership cooperation between the Faculty of Economics and Business, Universitas Negeri Surabaya, Indonesia with domestic and foreign partners includes education, research and community service. Educational activities in the form of lecturer and student exchanges, seminars, proceedings, guest lectures, visiting lecturers/professors, curriculum benchmarking. Collaboration in the field of research takes the form of joint research, joint publication, joint editor and journal reviewer. Collaboration in the field of community service takes the form of outreach activities, training, mentoring and demonstration activities related to partner needs. So far this collaboration has shown a significant positive impact. The results of the research findings can add theoretical and methodological studies to the repertoire of scientific development regarding the study of the importance of collaboration in an organization, especially for higher education institutions. The contribution of this research adds to the study of the importance of cooperation, not only for the benefit of both parties but also for having an impact on the progress of institutions and society. Contribution for educational institutions, both formal and non-formal, to continue to build partnerships and to socialize the importance of cooperation to increase institutional progress, building more networks to strengthen cooperation. The practical implication of this research is that the Faculty of Economics and Business continues to strive for collaborative networks with the aim of increasing and strengthening collaboration networks in accordance with the vision and mission of the Unesa Faculty of Economics and Business. Priority programs in the context of achieving a global reputation can be used as main topics for collaboration with partners. This implication also adds to the study for educational and non-educational institutions that by collaborating, relationships are created to share knowledge, experience and resources to achieve common goals and contribute to the development of society and the nation.
Abstract:Multi-sensory brand experience has emerged as a crucial factor in modern marketing, significantly influencing customer satisfaction, brand perception, and loyalty. Despite its increasing importance, research in this area…
remains fragmented, with theoretical integration and empirical validation gaps. This study employs a Systematic Literature Review (SLR) and bibliometric analysis using the Scopus database to map the evolution of research on multi-sensory brand experiences and their impact on customer satisfaction. From an initial dataset of 203 documents, a rigorous selection process resulted in 41 relevant articles for in-depth analysis. Using VOS viewer, the study visualizes research networks, inter-topic relationships, and emerging trends, revealing a 47% increase in publication volume from 2012 to 2024.
Findings indicate that customer satisfaction, consumer behaviour, and sales are dominant themes, with sentiment analysis and digital technology (AI, AR) gaining traction in recent years. However, significant gaps remain, particularly in experimental studies quantifying the long-term impact of multi-sensory experiences on customer loyalty and cross-industry comparisons of multi-sensory branding effectiveness. The novelty of this study lies in its combined bibliometric and systematic approach, which identifies critical research trends, theoretical gaps, and emerging digital strategies in multi-sensory marketing. This study contributes to the academic discourse by comprehensively synthesizing research trends and proposing future research directions in technology-driven branding strategies and consumer engagement.
Abstract:This study aims to analyze trends, developments, and directions of scientific research related to decentralization and performance evaluation between 2015 and 2025. Using a bibliometric approach and data from the Scopus…
database, this study evaluates scientific publications based on the number of documents, country contributions, institutional affiliations, keywords, and collaborative networks between authors. The analysis shows that the number of publications fluctuates, with a significant spike in 2024. China is the country with the highest contribution to publications, while contributions from Indonesia remain very minimal. In terms of affiliations, Chinese universities dominate scientific production in this field. Network visualization shows that collaboration between researchers remains low and fragmented. The most dominant keywords are decentralization, blockchain, and performance evaluation, which form several research clusters that show links to financial management and public policy topics. These findings indicate the need to increase the involvement of Indonesian researchers and strengthen global collaborative networks on the topic of decentralization and performance evaluation.