NOLEGEIN-Journal of Consumer Behavior & Market Research

Artificial Intelligence in Retail: Redefining Consumer Expectations and Retail Innovation

Dushyant Bodkhey — 2026-05-09

This study offers an updated and comprehensive perspective on the integration of artificial intelligence (AI) within the retail sector and its transformative impact on modern commerce. The rapid expansion of digital technologies, combined with the dominance of global technology leaders such as Amazon, Alibaba, Apple, Google, and Microsoft, has significantly elevated consumer expectations and redefined retail dynamics. AI technologies, including machine learning, predictive analytics, and automation, enable retailers to process vast volumes of data efficiently, resulting in faster, more accurate, and customer-centric decision-making. The widespread adoption of the Internet and smartphones has accelerated digital transformation, fundamentally altering how consumers communicate, explore products, and complete purchases. Modern consumers today are more knowledgeable and empowered than ever, seeking tailored experiences, smooth interactions, and immediate responses.AI-driven tools such as recommendation engines, chatbots, and smart inventory systems allow retailers to meet these expectations while optimizing operational efficiency. Furthermore, AI facilitates enhanced demand forecasting, supply chain management, and dynamic pricing strategies, enabling businesses to remain competitive in a rapidly evolving market. This paper highlights key AI-driven innovations and examines their role in reshaping retail operations and consumer engagement. It concludes that AI is not just a technological innovation but also a critical strategic requirement for retailers seeking to maintain growth and provide enhanced customer value in the digital era.

Impact of Pricing Strategies on Hotel Reservation Decision-Making: An Empirical Study in the Rajasthan Tourism Sector

Lokesh Kumar — 2026-05-14

Pricing in the hospitality industry is a critical factor in the determination of reservations by customers in the hospitality industry, which is very competitive. Nevertheless, even though the dynamic and promotional pricing models were widely used, there is not much empirical evidence on what dimension of pricing would have the strongest influence on accommodation booking behavior. The main issue is how various pricing perceptions e.g. fairness, corporate pricing, seasonal adjustments, and psychological framing are interconnected to form consumer decision-making. This study aimed to determine how six strategies of pricing (Dynamic Pricing, Seasonal Pricing, Discount Pricing, Corporate Pricing, Psychological Pricing, and Price Fairness) affected the reservation decision that had been undertaken before. A quantitative research design was taken, and primary data were gathered with the help of a structured questionnaire which had five-point Likert scale measurements. ANOVA and Multiple Linear Regression were applied on a sample population of 50 respondents. Part, Eta Squared was used to measure effect size, which was determined to discover the extent and magnitude of the influence of each variable. The findings indicated that any pricing strategy has a significant influence on the decision of reservation (p < 0.05). Of them, the most influential predictors were Price Fairness, Corporate Pricing and Psychological Pricing. The regression model exhibited a high explanatory power (R2= 0.72) meaning that the perception of pricing can explain about 72% of the variation in the booking decisions. The analysis has found that price-related mechanisms driven by fairness and orderliness are more effective than just dynamic changes, provide strategic information to the hotel industry, and competitive positioning.

A Study on Consumer Insights into Music Listening Habits and Preferences: A Study of Emerging Trends

Sanchita Dhok — 2026-04-16

The impact of music on youth has been at the heart of how young people develop their identity, express emotion, and interact socially, particularly within the diversity of cultural regions. This research investigates how the musical preferences, listening habits, and engagement behaviours of youth in regional communities are informed by cultural identity and social context. The rapid advancement of digitised music and access to streamed music from all around the world has significantly increased young
people’s exposure to new types of music. In contrast, there are still many ways that regional languages and culturally significant symbols contribute to young people’s individual music preferences. This research is conducted using a quantitative survey strategy to identify key characteristics that shape the development of music preferences amongst youth 15–25 years of age, including music genre selection, frequency of music consumption, cultural influences on music preferences, use of technology to facilitate music preferences, and peer-driven behaviours related to music consumption. The results of this research will further clarify how the social environments of young people, their background culture, and their regional identity impact their music preferences and how young people incorporate music into their daily routines for purposes of emotional regulation, human connection, and expression of self. The results of this research will provide actionable insights to music producers, marketers, and creators who wish to create culturally relevant music albums that are likely to engage young audiences that represent a wide variety of cultures. By better understanding the regional music preferences and cultural expectations of young people, this research has the potential to provide more culturally relevant, authentic, and impactful music content to support a variety of contemporary youth and culture.