ajay.karanjia95@gmail.com

Vietnam’s digital economy is increasingly smartphone-first: everyday activities such as messaging, payments, shopping, transportation, and public services are mediated by mobile applications and platform ecosystems. At the same time, personal data processing has intensified through app permissions, device sensors, background data flows, and cross-service profiling. Most contemporary privacy regimes rely on user consent as the primary legal and ethical basis for processing. In smartphone-centric ecosystems, however, consent is frequently reduced to rapid acceptance of permission prompts and privacy notices that users rarely read, understand, or can meaningfully negotiate. This paper develops a conceptual and contextual argument that consent-based data protection is structurally insufficient in smartphone environments, not because users are irrational, but because mobile ecosystems embed asymmetries of power, opacity of information flows, and design patterns that convert consent into an illusion of control. Using Vietnam as the focal context and drawing on interdisciplinary insights from information systems, digital governance, and privacy theory (including contextual integrity and user agency), the paper proposes a shift from consent to control: a governance logic emphasizing ongoing user manageability, system-level safeguards, and platform accountability. The paper synthesizes literature on mobile permissions and consent fatigue, analyzes key regulatory developments in Vietnam (with particular attention to Decree 13/2023/ND-CP), and outlines a control-oriented framework that links ecosystem design, governance instruments, and user capabilities. The contributions are threefold: (1) reframing personal data protection in smartphone-centric settings as a control problem rather than a consent problem; (2) articulating a Vietnam-specific contextual agenda that highlights enforcement and ecosystem dominance issues typical of emerging economies; and (3) offering actionable policy and design implications for regulators, operating system providers, and app/platform operators.

Electric Vehicles (EV) are vehicles that are either partially or fully powered on electric power. EV is very environmentally friendly as they use little or no fossil fuels (petrol or diesel). The main aim behind doing the research study is to check awareness of electric vehicles in Kheda district. And also study awareness from the perspective of Aware and Purchased Electric Vehicle Respondent and Aware but not Purchased Electric Vehicle Respondent. Usage pattern and the Demographics variables of the respondents in Main Reason to buy an Electric vehicle, Benefits of EV, Statement of EV, Planning to Purchased EV and Visited any EV Showrooms For this purpose, a descriptive study was undertaken with a sample size of 140 Respondents belonging to Aware and Purchased Respondents as well as Aware But Not Purchased Respondents using or Aware of Electric vehicles A structured questionnaire (both Physical and Google Form) was used at the Kheda District, state of Gujarat during the period of 17 January 2022 to 8 February 2022. It can be concluded that by Observing Factor Analysis it is found that the researchers can get two factors named as “Benefits of EV ” and “Charging station available”.

The study examines the indirect effects of U.S. trade policy shocks on India’s monetary policy framework using secondary data from 2015–2024. Multiple regression analysis was conducted using SPSS. Findings indicate that exchange rate depreciation and inflation are statistically significant determinants of repo rate adjustments. The results confirm that external trade shocks influence domestic monetary stability primarily through exchange rate and inflation channels.

The paper discusses how the employer branding will influence the effectiveness of talent management of the mass media industry, which is highly competitive, high turnover of employees, and high rate of technological change. The aim of the study is to study the impact of employer branding dimensions on attraction of talents, development, retention of talents and employee performance. The quantitative-descriptive-causal research design was selected, and a structured questionnaire was used to gather primary data among 220 employees who work in the television, print, digital, and radio media houses. Data analysis was done on the basis of descriptive statistics, reliability analysis, correlation analysis, and multiple regression analysis. The results show that the employer branding is significantly positively related to the talent management effectiveness which describes a considerable part of variance in the talent-related outcomes. Organizational reputation was the strongest dimension of the employer branding with the employer value proposition, compensation and benefits, work environment, and career growth opportunities coming in that order. The research indicates that, effective employer branding can be used to improve employee performance and attraction and deal with the long-standing retention issues in the mass media business. The empirical implications indicate that media companies ought to take the idea of employer branding as a strategic HR practice and not a form of symbolic exercise. The study uniqueness of this paper is the sector-specific empirical data through a non-SEM analytical method in the mass media framework.

The article addresses cross-platform integration of predictive analytics with fulfillment and logistics in volatile, social-commerce–driven supply chains. Relevance stems from the need to shift from reactive fixes to anticipatory coordination across OMS, WMS, and TMS. Novelty lies in a unified architecture that binds heterogeneous data feeds to shared forecasts and prescriptive triggers across operational nodes. The study describes the integration blueprint and quantifies gains in forecast accuracy, inventory efficiency, and on-time delivery. The analysis examines e-commerce demand signals, IoT telemetry, weather/traffic feeds, and enterprise records; particular attention is paid to early-spike detection and predictive rerouting. The objective is to formalize a deployable framework and evidence its performance. Methods include comparative synthesis, conceptual modeling, and case-based benchmarking against industry baselines. Sources encompass peer-reviewed work on AI/ensembles and supply-chain optimization, industry reports, and practitioner guides. The conclusion details improvements and implementation guidelines. The article benefits researchers and operations leaders designing predictive fulfillment.

April 1, 2026, marks the dawn of a “New Deal” for Indian mutual fund participants, characterized by the unbundling of management fees and enhanced governance. This paper captures a real-time snapshot of this transition through the lens of 100 investors in the Kalyana-Karnataka (formerly Hyderabad-Karnataka) belt. By analyzing ten thematic data points—ranging from the popularity of passive “MF Lite” schemes to the trust in new whistleblower norms—the study paints a picture of an emerging, cost-conscious investor class. The data suggests that the region is moving away from traditional opacity toward a demand for “net-of-cost” profitability. However, the heavy reliance on social media for financial news highlights a shift in influence from traditional advisors to digital platforms. This research serves as a strategic roadmap for policymakers and fund houses aiming to penetrate India’s semi-urban heartlands under the 2026 regulatory regime.

Digitalization has significantly reshaped the commerce landscape, particularly with the rise of digital wallets (e-wallets) within the mobile commerce ecosystem. India’s digital payments market driven by mobile commerce is expected to grow to $1 trillion by 2026, this spotlights emergence of e-wallets as a crucial tool that enable seamless, secure, and efficient transactions, thus enhancing the functionality and sustainability of m-commerce platforms. This study investigates consumer behavior and preferences regarding usage of e wallets among differentiated age groups and delves into the role of digital wallets in promoting a cashless economy by fostering contactless, secure transactions, enhancing consumer convenience, and supporting environmentally sustainable business practices. Furthermore, the study highlights current trends in mobile commerce, emphasizing how e-wallet integration is vital for the deployment of advanced technologies such as artificial intelligence (AI), block chain, and the Internet of Things (IoT). These technologies are transforming digital commerce by enabling more intelligent, personalized, and responsive shopping experiences. The findings offer valuable insights into the potential of e-wallets to support sustainable growth, drive digital transformation, and meet the expanding objectives of Industry 4.0 and look ahead to the capabilities of Industry 5.0, positioning e-wallets as integral to future of m-commerce business and contribute to the evolving digital economy.