Academic stress has become a concern among secondary students and higher education students in today’s educational environment. Various study habits and patterns like study session length, break frequency, structured study techniques, multitasking behaviours and mainly social media usage during studying time affects the overall well-being as there is massive usage of social media among students. This study investigates the relationship between the study habits and student stress among secondary school and higher education students in India and USA. Study is descriptive in nature, primary data is collected using a structured questionnaire, data were collected from respondents aged 14–25 years from India and USA. Findings reveal significant cross-country differences in study duration, structured scheduling, and stress levels. Multitasking and poor break management significantly increase stress and burnout risk. The moderating role of country highlights cultural variations in stress pathways.

This study examines the level of Customer Relationship Management (CRM) awareness among small retailers. CRM is an important strategy that helps businesses maintain strong customer relationships and improve overall performance. Small retailers mainly depend on repeat customers and personal interaction, but many still use traditional methods for managing customer information. The objective of this study is to analyse CRM awareness, existing customer relationship practices, and the challenges faced by small retailers. The research follows a descriptive research design, and primary data was collected through questionnaires from selected shop owners. A total of 15 shops were surveyed from the Ramnagar and Dattanagar areas. The sample included different types of retail businesses such as medical stores, grocery shops, mobile shops, garment stores, and stationery shops, with three shops selected from each category. According to the results, the majority of respondents had a favorable opinion of CRM practices including keeping track of customers, interacting frequently, and offering quality service. Many merchants think that being courteous, keeping in mind the preferences of their customers, and promptly addressing concerns all contribute to the development of long-term relationships, customer loyalty, and trust. While the F-test (p > 0.05) reveals no significant variance within business experience groups, statistical results suggest a significant difference in CRM procedures and complaint management across business types (ANOVA, p < 0.05). The findings indicate that most retailers understand the importance of maintaining good customer relationships, proper communication, and basic record management. However, awareness about advanced digital CRM tools remains limited due to lack of technical knowledge, financial constraints, and limited exposure to modern technology.

In the digital era, social media marketing has emerged as a powerful promotional tool for start-ups seeking rapid growth and customer engagement. Indian start-ups increasingly rely on platforms such as Instagram, Facebook, and LinkedIn to build brand awareness and influence consumer behaviour. But in this oversaturated environment it is difficult to recognize what works and what is of utmost importance when starting with a new start-up’s marketing. Through this study we try to navigate the best practices for the social media marketing of Indian start-ups. The data analysed using methods and parameters like ANOVA, correlation and Chi square. At the conclusion of the study suggestions include a standard basic model for assessment of the effectiveness of a social media campaign.

Digital journalism in India is rapidly transforming due to technological innovation, artificial intelligence (AI), platform dependency, and changing audience behaviour. This study examines emerging trends among national digital news start-ups using qualitative and quantitative content analysis. It analyses their content strategies, revenue models, distribution patterns, AI integration, audience engagement, and editorial positioning. Findings show increasing use of AI tools for content production, summaries, translations, and data analysis to improve efficiency and reduce costs. However, this has led to content homogenisation and reduced differentiation among platforms. With declining advertisement revenue and lower search traffic, many start-ups are shifting toward subscription and membership-based models. The study also highlights fragmented distribution across social media, newsletters, and messaging apps, along with growing information inequality as premium journalism moves behind paywalls. While AI offers innovation opportunities, sustainable growth depends on credibility, niche focus, and audience trust.

Currently, smartphones have become a vital component of our daily lives, and the situation of running out of power, especially during an emergency, can be stressful and frustrating. To solve this problem, this research proposes an innovative smartphone cover that can produce power using the natural motion of the smartphone during daily operations. The concept revolves around electromagnetic induction, whereby a small magnet with a spring oscillates within copper wires to produce electric power whenever the smartphone is in motion. Unlike conventional electric power systems that utilize only one motion direction, this system utilizes both vertical (up and down) and horizontal (side to side) motions. This increases the amount of electric power produced from simple operations such as walking or using the smartphone, the produced power is regulated by a boost converter to ensure it is safe for use during emergency charging. Although it is not meant to replace conventional charging systems, this smart phone cover is a feasible, portable, and environmentally friendly alternative with immense potential for future self-charging devices.

This study examines how emotional patterns and cognitive processes influence learning efficiency among Generation Z students and teachers within modern educational institutions. It proposes a Structured Equation framework integrating core emotional-cognitive learning constructs to understand their collective impact on academic outcomes. A descriptive and applied research design with a mixed-method approach was adopted using purposive sampling techniques. Data were collected from 130 management students and 20 teachers in the KDMC region through structured questionnaires and interviews. Statistical tools including correlation, paired t-test and Single ANOVA were applied for analysis. The study further introduces the conceptual ECF-WR model and proposes an AI-based application to enhance emotional regulation, engagement and overall academic performance.

This study examines cryptocurrency market behaviour during crash conditions and evaluates the extent to which structured risk management techniques and behavioural biases affected financial losses. The study employs a quantitative design that is bolstered by qualitative observations. A structured questionnaire was used to gather primary data from (111) retail cryptocurrency traders. In order to obtain a deeper understanding of behaviour, (12) active cryptocurrency market traders were interviewed for qualitative analysis. The relationships between behavioural biases, social media influence, risk management techniques, and financial losses were examined using one-way ANOVA and Pearson correlation analysis. The results show that emotional biases like panic selling, overconfidence, FOMO, and frequent short-term trading greatly increase financial losses. A majority of respondent groups’ trading decisions were found to be influenced by social media sentiment. Most significantly, correlation analysis confirms that disciplined strategies significantly lower the magnitude of losses during times of high volatility by showing a strong negative relationship between structured risk management practices and financial losses.