Introduction Luxury retailing is a complex and dynamic field that is influenced by multiple institutional logic. These logics can be defined as socially constructed systems of beliefs, values, and practices that guide the behavior of actors within a particular institutional context. In the context of luxury retailing, three main logics tend to come into conflict: the pragmatic logic of efficiency, the moral logic of authenticity, and the aesthetic logic of beauty. These logics can create tensions and contradictions that can be challenging for luxury retail managers to navigate. However, by understanding the nature of these logics and developing strategies to manage conflicts between them, managers can create positive customer experiences that enhance customer loyalty and drive business success. We will begin by discussing the three main logics that tend to come into conflict in luxury retailing and how they manifest during the customer journey. We will then explore the practical strategies that luxury retail managers can use to navigate conflicts between logic and create positive customer experiences.

Pricing is one of the most important aspects of retailing, and it can have a significant impact on consumer behavior and willingness to pay. In recent years, online marketplaces have become increasingly popular, and they offer a unique opportunity to study the effects of different pricing strategies on consumer behavior. This study focuses on the reference point effect of reserve and buy-it prices in retailing, and it provides valuable insights for sellers looking to optimize their pricing strategies.

"IoT will soon be as common as the internet itself, and the possibilities are endless." Micheal Dell. Sooner or later this statement will surely be turned into a reality! Well, let’s first understand what exactly is meant by the Internet of Things, widely known as IoT. IoT, the Internet of Things, is like having a magical treasure trove of everyday objects coming to life and having secret conversations!

Consumer behavior is a complex and dynamic interplay of psychological, economic, and social factors. Among these influences, price is a critical determinant that significantly impacts consumers' decision-making processes. Understanding the behavioral response to price is of paramount importance for retailers seeking to attract customers, enhance sales, and stay competitive in the market. In this blog, we will explore data-based insights into consumer behavior concerning pricing strategies and identify potential areas for future research to revolutionize retailing practices.

Voice shopping is an innovative frontier for the retail sector. Retailers hoping to benefit from this new channel must comprehend how sequential product display affects consumer behavior. Retailers may strategically position their brands to increase memory, consideration, and buy intent by recognizing the cognitive and psychological variables at work. Further study in this field will be necessary to realize the full potential of this cutting-edge retail medium as voice purchasing continues to develop. Using speech-activated devices like smart speakers and virtual assistants, users may now make purchases in a simple and creative fashion called "voice shopping." Retailers and marketers need to understand how to optimize their tactics to sway consumer behavior in light of the expanding popularity of voice commerce. The order in which brands are offered to customers is a key element of voice shopping. In voice shopping situations, this blog investigates how sequential product display affects brand impression and buy intent. We strive to offer helpful advice to merchants looking to improve their voice commerce strategy and successfully communicate with their customers by examining data-driven insights and research findings.

The convergence of art and technology has always been a catalyst for innovation, redefining the boundaries of human creativity. In recent years, the emergence of generative artificial intelligence (AI) has opened up exciting possibilities for the future of art. This introduction explores the transformative potential of generative AI in the art world, delving into the underlying technical concepts, algorithms, and implications that are reshaping artistic creation. Generative AI refers to the use of advanced algorithms and computational models to autonomously generate original and unique content. Through the utilization of techniques such as deep learning, neural networks, and machine learning, generative AI algorithms can analyze vast repositories of artistic data, ranging from paintings and sculptures to music and multimedia. By discerning patterns, styles, and semantic relationships within this data, generative AI algorithms can create new and innovative artistic expressions that push the boundaries of human imagination. Generative AI is not limited to static forms of art. It has also paved the way for interactive art installations and dynamic collaborations between human artists and AI systems. Artists can design installations that respond in real-time to viewer interactions, creating immersive and personalized visual experiences. This collaboration between human creativity and generative AI systems unleashes a realm of innovative possibilities where the lines between the artist and the AI become blurred.