Tag: Retail

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Price consciousness as basis for Thai and Finnish young adults’ mobile shopping in retail stores

This short paper, published in Procedia Computer Science, explores the connection between price-conscious shopping habits and the use of smartphones for in-store shopping among young adults from Thailand and Finland. Through a cross-national survey, the study finds that price-conscious consumers are more likely to use mobile shopping in retail stores. Thai consumers had a stronger association to price consciousness and mobile shopping, than for Finnish consumers. These insights suggest that cultural factors can impact how a consumers mobile shopping behavior is influenced by their price awareness

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Motivating Events at the Point of Online Purchase: An Online Business-to-Business Retail Experiment

The point of online purchase refers to the location and conditions in which an online transaction takes place. It includes how products are presented to consumers and the means of completing the transaction. Understanding how the online setting and specific situations impact consumers behavior at the point of online purchase may improve online marketing efforts.

An online experiment was conducted to analyze the factors that influences purchases during the online buying process. Results show that the treatment group had a 39% conversion rate for up-sell offers. Which lead to an 87.94% increase in revenue compared to the control group. The findings of the experiment are discussed in relation to consumer behavior and rules governing inline purchases. For further reading, the full study can be found in the Procedia Computer Science.

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Investigating the impact of Internet of Things services from a smartphone app on grocery shopping

This study investigates how Internet of Things (IoT) features in a grocery store’s smartphone app affect shopping behavior. In a simulated scenario, 226 participants used the app to purchase items, such as fresh salmon. The study found that IoT services like “updated expiry date”, “Aggregated national customer experience index” and “personalized offer based on product in the basket. increased engagement with the app and encouraged more purchases. The “real-time price” IoT feature had a mixed effect on user interaction. Analysis showed that certain IoT features can be a dealbreaker in a competitive grocery market. The study is published in Journal of Retailing and Consumer Services, presented at Forskning.no and Kristiania.no.

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The relationship between young consumers’ decision-making styles and propensity to shop clothing online with a smartphone

Consumer behavior in retail is changing due to the adoption of technologies such as the internet and the smartphone. This study, published in Procedia Computer Science, focuses on studying the relationship between young consumers’ decision-making styles and their propensity to shop clothing online with a smartphone. Using the Consumer Styles Inventory (CSI) as a foundation, a survey of young adults identified four key factors; brand consciousness, fashion consciousness, impulsiveness, and recreational shopping behavior, that strongly correlate with the frequency of browsing and purchasing clothing online through smartphone. These findings are important for retailers aiming to increase revenue through mobile shopping solutions.

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What’s the “Thing” in Internet of Things (IoT) in Grocery Shopping? A Customer Approach

The Internet of Things (IoT) technology presents an opportunity for retail groceries to develop an infrastructure that makes physical things such as mobile phone, shopping basket, store shelves, digital display, and, even the product itself smart, allowing real-time interaction with customers both in the physical store and in the virtual store. This study explores how IoT can enhance value in retail grocery choice situations. To analyze IoT’s impact on consumer decisions, we conducted a conjoint experiment where participants purchased fresh salmon in a grocery store. The results demonstrated that compared to static information on price, expiry date, quality, and general offers, real-time information was the most influential factor. Moreover, quality ratings from other customers had the strongest effect, followed by personalized offers based on cart items, real-time expiry dates, and real-time pricing. The full study can be found in Procedia Computer Science.