Shopping carts can be designed to accommodate and integrate smart devices seamlessly within a retail setting, allowing for enhanced connectivity and functionality. Moreover, smart devices on a smart shopping cart can provide verbal motivating stimuli to enhance consumers’ purchasing of healthy food. A conjoint experiment was conducted to examine the potential influence of motivating stimuli on smart shopping carts to encourage healthier purchases among young consumers. The study involved 91 participants and presented them with a hypothetical purchasing task related to buying frozen pizza. The findings indicate a positive impact associated with all stimuli originating from the smart shopping cart, with three focused explicitly on health-related aspects. Our results suggest that the presentation of real-time, dynamic, and personalized data through smart technology within a physical grocery retail setting holds the potential to surpass the effectiveness of traditional firm-based and static brand statements. Our study made young customers more likely to select a healthier frozen pizza. This finding supports the market positioning and customer-service focus of many retailers and brands today. It shows how verbal stimuli on smart shopping carts can serve as motivating augmentals on young adult consumers’ purchases of healthier foods. The managerial implications for grocery retailers contributing positively to their customers’ overall well-being and life satisfaction are discussed, as well as limitations and future studies. The article can be found here.
The Impact of Smart Fitting Rooms on Customer Experience in Fashion Retail
Smart fitting rooms are an innovative technology in fashion retail that leverages Internet of Things (IoT) devices such as computer vision, sensors, augmented reality (AR), and other tools to provide an engaging and tailored shopping experience. The present study investigates how smart fitting rooms might enhance customer experience in fashion retailing. A conjoint experiment (n=122) showed that a smart fitting room is an effective retail technology for enhancing the customer experience. The results show that personalized recommendations, personalized offers, and retailers’ sustainability labels have a relatively high impact on customer experience when buying fashion products. Providing relevant information, using visualizations that complement the real world, and making a comfortable environment in a smart fitting room enhances the customer experience. Moreover, our research has revealed that implementing smart fitting rooms by fashion retailers can lead to a less social shopping experience. The full research paper can be found in Procedia Computer Science.
Exploring the Use of Shopper-Facing Technology to Reduce Showrooming
The phenomenon of showrooming has given brick-and-mortar stores even greater challenges throughout the past decade of the growth in smartphone information technology. This study explores how smartphone technologies can be used to reduce showrooming. A conjoint experiment (n= 163) was conducted to examine factors like price, salesperson interference, and information search, and offers real-time data provided by in-store Internet of Things (IoT) technologies via a smartphone. Findings show that personalized offers with a scarcity message was the most impactful factor in the likelihood to buy, discouraging showrooming. This study reveals the relative impact of different attributes that can be provided on a shopper-facing smartphone application that provides real-time data using IoT technologies. Access to real-time information is important for showroomers to help encourage them to buy the product in-store rather than online. Offline retailers must use IoT technologies to enhance the consumer shopping journey and help support in-store purchases or purchase from the retailer’s online web shop. The full research paper can be found in Procedia Computer Science.
Big business returns on B Corp? Growing with green & lean as any label is a good label
This research contributes to knowledge on consumer-based food label equity (CBFLE) by examining a validity scale accuracy for predicting seafood purchasing choices in health and sustainability contexts.
Two studies were conducted for this research. Study 1, with 301 participants, show fish fillets with sustainability labels, such as B Corp, compared to those without labels. The study showedes that this type of food label did not impact a consumers purchase decision. Study 2, with 200 participants, found similar results when using health-labels, like the American Heart Association Heart-Check. The findings indicate how a consumers’ willingness to buy is influenced by the use of specific labels, within sustainability and health sectors. The full research paper can be found in the Journal of Business Research.
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
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.