How did Indonesians and Filipinos pay for their VOD Subscription? Business and Marketing Communication Perspectives

The expansion of Video-On-Demand (VOD) services in Indonesia and the Philippines has altered media consumption behaviours, resulting in heightened interest in comprehending customer payment methods for these subscriptions. As VOD platforms broaden their scope, examining payment methods provides essential insights into consumer behaviour and the fundamental elements that shape payment preferences. This research employed a quantitative survey methodology, collecting data from 1,000 participants in Indonesia and the Philippines. The selected cities comprised Jakarta, Medan, Surabaya, and Bali in Indonesia, as well as Metro Manila, Metro Cebu, and Davao City in the Philippines. The survey evaluated users\u27 preferred payment methods for VOD subscriptions, including credit/debit cards, mobile wallets, and bank transfers. Initial data indicate a significant inclination towards mobile wallet payments, especially in Indonesia, where 45% of participants identified this as their preferred option. In the Philippines, conventional credit and debit cards are favoured, with 38% of participants opting for this method. These observations indicate that VOD service providers must modify their payment structures to meet local consumer preferences. By incorporating several payment choices, marketers can improve client acquisition and retention, ensuring that payment methods do not hinder subscriptions. Comprehending payment behaviour will be crucial for enhancing marketing tactics in the changing digital environment of Southeast Asia

From Word-of-Mouth to Social Buzz: A Triangulated Bibliometric Analysis of Viral Marketing Using Biblioshiny, VOSviewer, and CiteSpace

IntroductionThis bibliometric analysis examines the global research landscape on viral marketing using data extracted from the Scopus database and analyzed with Biblioshiny, VOSviewer, and CiteSpace. Viral marketing, characterized by rapid message dissemination through digital networks and consumer sharing, has gained significant scholarly attention across diverse disciplines. ObjectiveThe annual scientific output reveals a steady growth in publications, reflecting increasing academic interest and the evolution of research themes over time. MethodAnalysis of top influential researcher’s highlights key contributors shaping the field’s theoretical and methodological advancements. Prominent scientific journals, particularly in marketing, consumer behavior, and information systems, serve as primary publication outlets, fostering interdisciplinary dialogue. ResultsGlobal research contributions by nation indicate that the United States, China, and India are leading producers, supported by active collaborations illustrated in the timeline network visualization of country partnerships. Co-citation analysis of cited authors and journals uncovers core intellectual foundations and interlinked knowledge domains. Bibliographic coupling of documents and co-occurrence of author keywords reveal thematic clusters that define the research focus, while thematic evolution and the thematic map highlight the transition from foundational studies to emerging topics such as social media analytics and influencer marketing. Trend topic analysis indicates growing emphasis on data-driven targeting, user engagement, and algorithmic influence modeling. ConclusionsThe study identifies research gaps in cross-cultural comparative studies, ethical considerations, and the integration of emerging technologies into viral marketing strategies, with practical implications for marketers seeking to optimize campaigns in a rapidly evolving digital environment

Science vs experience - What determines how companies innovate

Innovation is a critical factor for business competitiveness and survival. This study uses a systematic PRISMA review to identify the factors that determine the adoption of STI (science) and DUI (experience) modes of innovation. The findings reveal that the choice is not mutually exclusive; the synergistic combination of both modes maximizes innovative performance. Internal factors (size, resources, culture) and external factors (sector, regional environment) influence this adoption, with large companies tending to integrate both approaches, while SMEs lean more towards DUI. It is concluded that the competitive advantage lies in developing absorption capacities to effectively integrate both modes, which requires managers and public policies to abandon one-dimensional approaches and foster ecosystems that support this dual strategy to achieve more robust and inclusive economic development

Towards sustainable financial inclusion in Ecuador: analysis of key factors

Financial inclusion is a key component for economic development and reducing inequalities, especially in emerging economies such as Ecuador, where gaps in access to and effective use of formal financial services persist. Objective: To analyze the determining factors of financial inclusion in Ecuador through a multidimensional approach that allows identifying causal relationships between different components of the financial system and their impact on effective access to financial services. Methodology: Quantitative study with cross-sectional design that employed a structural equation model (SEM) to evaluate five dimensions of financial inclusion. The sample included 151 participants from key sectors of the Ecuadorian financial system, selected through stratified sampling. A validated instrument with 19 indicators organized into five latent factors was used, with statistical analysis performed in AMOS 24. Results: The analysis revealed a statistically significant relationship between financial product development and financial inclusion (β = 1.223, p = 0.019). The regulatory framework and supervision achieved the highest level of knowledge (74.05%), while the commitment of public and private sectors presented the lowest performance (52.45%). The SEM model demonstrated adequate fit (RMSEA = 0.054, CFI = 0.939). Conclusions: Innovation in financial products constitutes the determining factor for improving financial inclusion in Ecuador. The results evidence the need to strengthen public-private partnerships and improve inter-institutional coordination to translate regulatory knowledge into effective practical implementation

Stock Market Volatility: A Bibliometric Review of Research Trends

Introduction: Stock market volatility plays a vital role in financial markets and economic stability, drawing considerable academic attention over the past two decades. However, a comprehensive review of the literature examining the landscape of stock market volatility research has been lacking.Objective: This study aims to fill that gap by conducting a systematic bibliometric analysis to identify key authors, journals, documents, contributing countries, and collaborative networks, while mapping thematic trends in stock market volatility research.Method: The analysis employs VOS Viewer and the Bibliometrix R-package to examine 1,418 articles published between 2005 and 2022, retrieved from the Scopus database. The study utilizes keyword co-occurrence analysis and bibliographic coupling to map research themes and collaborative networks.Results: Findings reveal a significant rise in research output after 2015, with a notable surge during the COVID-19 pandemic. The top 10 most-cited papers amassed over 4,700 citations, with crisis-related studies demonstrating substantial influence. Key contributors include Gupta R., Ma F., and Zhang Y., while the USA, China, and the UK emerge as the leading publishing countries. Four main research streams are identified: volatility measurement and forecasting, crisis and contagion effects, macroeconomic influences, and spillover effects across markets. "Realized volatility" and "GARCH" emerge as dominant themes driving the field.Conclusions: This study offers a foundational overview of stock market volatility research, supporting scholars in identifying trends and research gaps, and providing practitioners with a structured understanding of the domain\u27s evolution

Digital Gold Investment Decisions Through Technology Acceptance: The Influence of Intention

This study examines the Technology Acceptance Model (TAM) application in gold investment decisions through digital platforms, focusing on intention\u27s mediating role and gender differences in East Java, Indonesia. Using structural equation modeling (SEM-PLS), data were collected from 254 respondents experienced with digital gold investment platforms through purposive sampling and structured questionnaires assessing perceived ease of use (PEOU), perceived usefulness (PU), intention, and investment decisions. All TAM relationships were statistically significant: PEOU to intention (β = 0,214, p = 0,011), PU to intention (β = 0,666, p < 0,001), and intention to gold investment decision (β = 0,575, p < 0,001). Intention significantly mediated both PEOU-investment and PU-investment relationships. The model explained 74 % of intention variance and 85,1 % of investment decision variance. Geographic limitation to East Java and self-reported data may affect generalizability. Future research should expand scope and incorporate behavioral data. Platform developers should prioritize user-friendly interfaces and utility emphasis. This study contributes novel insights to digital gold investment literature in emerging markets, identifying mediation differences for platform design and marketing strategies

The Impact of Social Accounting Practices on Export Competitiveness and the Moderating Role of Foreign Ownership: Evidence from Listed Seafood Processing Enterprises in Vietnam

This study stems from the context where Vietnamese seafood processing enterprises face increasing pressure regarding social standards from international markets, while the actual effectiveness of Social Accounting Practices (SAP) on Export Competitiveness (EC) remains contradictory. Therefore, this research aims to clarify this relationship, particularly by analyzing the moderating role of Foreign Ownership (FO) as a key factor capable of conditioning the impact of SAP. Using a quantitative method, the study employs panel data collected from 28 listed seafood enterprises over the period 2015-2024, forming a dataset of 225 firm-year observations, and applies a fixed-effects regression model (FEM). The research findings illuminate a complex relationship: social accounting practices, by themselves, do not have a direct and statistically significant impact on export competitiveness (β = 0.035, p > 0.10). Instead, the most critical finding reveals that foreign ownership plays a strong and positive moderating role; the impact of SAP on EC only becomes significant in firms with a high proportion of foreign ownership, as demonstrated by the positive and highly significant coefficient of the interaction term (SDI * FO) (β = 0.955, p < 0.01). Furthermore, the study also discovers an inverted U-shaped non-linear relationship, suggesting the existence of an optimal threshold for investment in SAP at approximately 40.5% on the disclosure index, beyond which marginal benefits diminish. Ultimately, the study concludes that the effectiveness of sustainability investments is not a universal linear relationship but is contingent upon conditional factors. Foreign ownership acts as a strategic "catalyst," helping to transform social efforts into tangible competitive advantages in emerging markets

The Impact of Executive Political Connections and the Moderating Role of Audit Quality on Earnings Management Behavior in Listed Real Estate Firms in Vietnam

In Vietnam\u27s real estate sector, where informal institutions like political connections are exceptionally influential, this study addresses a critical governance paradox: the effectiveness of formal monitoring mechanisms, such as high-quality audits, in constraining the earnings management behavior driven by these connections. The main objective of the study is to clarify the complex interaction between formal (audit) and informal (political connections) governance mechanisms, while also considering the differences in this impact between state-owned and private enterprises. By employing a panel dataset of 677 firm-year observations from 71 listed firms over the 2015-2024 period, the study applies a Fixed Effects Model (FEM) with an interaction term, combined with robust checks. The empirical results show that political connections have a positive and statistically significant relationship with earnings management, whereas audit quality (represented by the Big 4) has a constraining effect. However, the most core and significant contribution of the study is that the moderating role of audit quality is not statistically significant for the full sample. Deeper analysis by ownership type reveals a heterogeneous mechanism of impact: while the monitoring role of Big 4 audits is almost completely neutralized in state-owned enterprises, it exerts a strong effect and nearly eliminates the negative impact of political connections in private enterprises. From this, we conclude that the effectiveness of formal governance mechanisms is not absolute but depends heavily on the institutional context and ownership structure, highlighting that high-quality audit is an effective "check" against risks from political capital, but primarily in the private sector

Human Talent Management and its Relationship with Wellbeing: A Bibliometric Analysis of a Decade of Scientific Production in Scopus

Introduction: Human talent management (HTM) has broadened its focus to integrate employee wellbeing as a fundamental analytical category, given its impact on performance and organizational sustainability. Objective: This study analyzes the scientific production indexed in Scopus on the relationship between HTM and wellbeing over the decade 2014-2024. Methodology: A bibliometric analysis of 2,242 documents was conducted, processed with VOSviewer to examine production indicators, impact, thematic structure, and co-occurrence networks. Results: An exponential growth in publications (324%), a high impact (75.6% of documents cited), and a multidisciplinary nature were identified, with Medicine as the dominant area. Keyword analysis revealed three thematic axes: socio-clinical and occupational health, management and performance, and global context and sustainability. Discussion: The results confirm the consolidation of the field and a pragmatic shift towards the validation of interventions, highlighting the strategic role of HTM in promoting wellbeing and organizational resilience, especially following global events such as COVID-19.

Modeling and Forecasting Stock Closing Prices: A case study of L’Oreal listed on the French stock exchange

Introduction: Financial forecasting has long sought to model stock price dynamics through statistical and econometric approaches. This study focuses on predicting L\u27Oréal’s daily stock closing prices using a linear regression framework, grounded in the assumption that fundamental market indicators can effectively capture short-term price variations.Objective: The aim is to evaluate the predictive capacity of a multivariate linear regression model based on fundamental variables—Open, High, Low prices, and trading Volume—over a 25-year historical dataset.Method: Daily OHLCV data from 2000 to 2025 were obtained from Yahoo Finance. The dataset was divided into training (80 %) and testing (20 %) subsets. Model performance was evaluated using Mean Squared Error (MSE = 1,238) and the coefficient of determination (R² = 0,9987). Market regime shifts, such as the 2008 and 2020 financial crises, were included to assess model robustness.Results: The model achieved high predictive accuracy with a Mean Absolute Percentage Error (MAPE = 0,55 %). Among predictors, High and Low prices were the most influential (β = 0,845 and 0,723, respectively), while Volume showed no statistical significance (p > 0,05). Residual analysis revealed minor deviations from normality but no signs of autocorrelation.Conclusions: The results demonstrate that linear regression remains a valid and interpretable method for forecasting blue-chip stock prices. The model’s precision suggests potential for integration into algorithmic trading systems. However, incorporating volatility-based adjustments is recommended to enhance stability during market turbulence. Future studies could compare linear and nonlinear models across sectors to assess generalizability