Hybrid jobs in the retail industry. Redesigning organizations, processes and work

Retail industry is changing, as a consequence of online competition, customers' behavior and technological advancements, and retail jobs are transforming as well, with a change of the skills required. The purpose of this thesis is to investigate how these jobs are changing and how they will likely become in some years

Is traditional retail moving to e-commerce in the field of the fashion industry in India?

The main aim of this dissertation is to discover whether consumers feel that e-commerce provides superior performance and technology facilities than traditional retail from the perspective of Indian consumers, and to assess the importance of Omni-channel concepts and operations in the fashion industry. The fashion industry is one of the foremost business segments in India. Currently, the fashion industry is overcoming with new technology and innovation in their business. In the 1990s e-commerce was introduced saw the potential possibilities of innovation, and the new concepts which made the consumer base attractive towards e-commerce. Online retailers are growing faster than traditional retailers due to high pressure from online retailer’s offers and strategies. This research is identifies the issues in the fashion retail business in India. What are the challenges faced by traditional retail? What are the environmental causes disturbing the fashion retail industry which are argued with more detail in PEST analysis and Porter’s five forces of modern retailing and communication? Traditional fashion retailers understand how to solve difficulties and challenges in the supply chain. Discussed many technologies for fashion retail markets to improve their strategy and customer satisfaction. Researching the hypotheses are collecting behaviourism, functionalism, and experimental ideas what should traditional retailers do in their retail shop and which channel should they adopt for their business? Hypotheses are used to conduct a quick market analysis to understand the Indian demographic attitudes towards technologies, client interest, and Omni-channel. We need to understand which approaches we can use to gain knowledge in theoretical perspective. Multiple techniques are involved in the analysis and validation of hypotheses. I used SPSS tool for data analysis with cross-tabulation function. In this research I found that traditional retail and e-commerce are independent of each other but gradually merging, a most important factor for future fashion industry trends. They are systematically embracing Omni-channel strategy to provide good consumer service

Shopping For Privacy: How Technology in Brick-and-Mortar Retail Stores Poses Privacy Risks for Shoppers

As technology continues to rapidly advance, the American legal system has failed to protect individual shoppers from the technology implemented into retail stores, which poses significant privacy risks but does not violate the law. In particular, I examine the technologies implemented into many brick-and-mortar stores today, many of which the average everyday shopper has no idea exists. This Article criticizes these technologies, suggesting that many, if not all of them, are questionable in their legality taking advantage of their status in a legal gray zone. Because the American judicial system cannot adequately protect the individual shopper from these questionable privacy practices, I call upon the Federal Trade Commission, the de facto privacy regulator in the United States, to increase its policing of physical retail stores to protect the shopper from any further harm

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization

Online shopping gives customers boundless options to choose from, backed by extensive product details and customer reviews, all from the comfort of home; yet, no amount of detailed, online information can outweigh the instant gratification and hands-on understanding of a product that is provided by physical stores. However, making purchasing decisions in physical stores can be challenging due to a large number of similar alternatives and limited accessibility of the relevant product information (e.g., features, ratings, and reviews). In this work, we present ARShopping: a web-based prototype to visually communicate detailed product information from an online setting on portable smart devices (e.g., phones, tablets, glasses), within the physical space at the point of purchase. This prototype uses augmented reality (AR) to identify products and display detailed information to help consumers make purchasing decisions that fulfill their needs while decreasing the decision-making time. In particular, we use a data fusion algorithm to improve the precision of the product detection; we then integrate AR visualizations into the scene to facilitate comparisons across multiple products and features. We designed our prototype based on interviews with 14 participants to better understand the utility and ease of use of the prototype.Comment: VIS 2022 Short Paper; 5 page

Omnichannelling and the Predominance of Big Retailers in the Post-Covid Era

none3noThe Covid 19 pandemic has profoundly affected the competitive context of retail companies. Multiple changes have occurred both in consumer behaviour, in retail strategy and marketing channels. The article aims to highlight the areas in which the major changes have occurred and identify some trends that characterize retail channels. In particular, the pandemic has accelerated the use of digital technology in the processes of physical purchase and distribution of retail products, favouring new forms of integration between physical and online channels (so-called omniachannelling). Many brick&mortar stores have closed down, others have modified their original logistic functions in favor of the new digital integrated ones, with a smaller number of point of sales assuming the connotation of flagship stores with greater force. Some cases confirm the acceleration that took place towards the integration and redefinition of the roles of physical and online channels. The biggest retailers empower their predominance in the global market. Smaller operators could renew their role by shaping new forms of collaboration to survive.openFabio Fortuna, Mario Risso, Fabio MussoFortuna, Fabio; Risso, Mario; Musso, Fabi

Digital marketing in retail : what are the benefits a Swiss premium department store could reap when adapting to the changing environment of digitization? A maturity model

The force of digitization has empowered customers with an omni-present access to a worldwide bazar of products and information. This shift has compelled traditional retailers to expand their channels and touchpoints to wherever the customer wishes to be served. The new scattered landscape of touchpoints and the rapid development of increasingly sophisticated technology have confronted marketers with new challenges and opportunities alike. Meanwhile, Swiss premium department stores, are still considered ‘nondigital’. This thesis addressed their need for both an analysis of digital marketing tools and a guideline for its implementation. Therefore, the aim of this Bachelor’s thesis was to outline the benefits of a digital marketing transformation and to offer a new customercentric digital marketing maturity model tailored to Swiss Premium Department Stores. The research therefore focused on determining maturity stages and goals through an analysis of current marketing-, retail- and customer trends. Furthermore, digital marketing tools have been evaluated based on their benefits and were aligned to the corresponding stages. The findings show that a digital transformation is a rapidly evolving process retailers essentially need to keep up with. The thesis suggests three key milestones of a digital transformation to build an essential basis for the implementation of future technology: Mobile, big data and RFID. The major benefits of a digital transformation result from the increased connectivity of the customer that allows real-time interaction throughout the entire shopping journey. With new technological solutions, such as beacon technology, marketers are able to identify a customer before entering a store. Another major benefit, presents the increased on- and offline convergence, especially through interactive shopping tools such augmented reality. Both of the mentioned technologies benefit from big data, which allows to use a unified customer view to apply personalization as a powerful tool for almost any marketing appliance. Another significant finding is the extension of existing maturity models from a current final maturity stage of ‘omni-channel’ to ‘No- Line retail’. No-Line refers to collaboration with suppliers and competitors to jointly promote a shopping area. The digital marketing maturity model has been tested at the example of Magazine zum Globus AG. Testing the model has proved its applicability. Nevertheless, it is not universally valid. The model is tailored to Swiss Premium Department stores. Further research should focus on the possible synergies that can be generated within the retailing sector through emerging trends, such as smart-cities, to enhance ‘No-Line’ retail

Pengaruh Retail Intelligence dan Innovation Melibatkan Customer Preference melalui Customer Experience

Teknologi kini melahirkan kecerdasan-kecerdasan buatan yang baru telah membawa transformasi bisnis ritel terhadap preferensi konsumen menjadi lebih mudah dalam menentukan pilihan untuk mengkonsumsi barang dan jasa. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh retail intelligence dan retail innovation terhadap customer preference dengan variabel antara customer experience. Metode penelitian menggunakan teknik purposive sampling dengan model structural equation modeling (SEM). Teknik pengambilan sampel secara probability sampling dengan simple random sampling, dengan metode survei menggunakan google forms kepada sejumlah 100 orang responden di kota Tangerang. Berdasarkan hasil uji t-value pada model struktural terhadap kelima hipotesis yang diuji menunjukkan bahwa hanya satu hipotesis yang diterima atau signifikan yakni pengaruh retail innovation terhadap customer experience, sedangkan sisanya tidak signifkan

Pengaruh Retail Intelligence dan Innovation Melibatkan Customer Preference melalui Customer Experience

Teknologi kini melahirkan kecerdasan-kecerdasan buatan yang baru telah membawa transformasi bisnis ritel terhadap preferensi konsumen menjadi lebih mudah dalam menentukan pilihan untuk mengkonsumsi barang dan jasa. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh retail intelligence dan retail innovation terhadap customer preference dengan variabel antara customer experience. Metode penelitian menggunakan teknik purposive sampling dengan model structural equation modeling (SEM). Teknik pengambilan sampel secara probability sampling dengan simple random sampling, dengan metode survei menggunakan google forms kepada sejumlah 100 orang responden di kota Tangerang. Berdasarkan hasil uji t-value pada model struktural terhadap kelima hipotesis yang diuji menunjukkan bahwa hanya satu hipotesis yang diterima atau signifikan yakni pengaruh retail innovation terhadap customer experience, sedangkan sisanya tidak signifkan