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RFID in Retail: New approaches, new viewpoints

RFID technology is a promising technology currently finding its way into the field of customer interaction strategy, supply chain accuracy and inventory management. Primarily, RFID tags are seen as substitutes of traditional barcodes, yet they can add a lot of value and functionality. Where barcodes require a scanning device to be placed directly in front of the tag to be read, RFID tag readers are able to scan all tags that are in the proximity of the scanner . The next difference is that whereas barcodes usually are the same for all articles of the of the same type (i.e. a jar of peanut butter of brand x), RFID tags will be unique for each individual product occurrence. This opens up the possibility of tracking the entire history of a specific occurrence of a product. Moreover, due to the nature of the scanning technology, it suddenly becomes achievable for manufacturers to track individual products through all stages of production and base inventory management and front office planning on real-time data at item level from production facilities.

The fashion retailscape

An interactive full-length mirror that allows you to browse through an endless collection ofclothing and see immediately whether something fits you, including when you turn around, and which also allows you to send a picture quickly to your family and friends to hear what they think. This mirror is a technological development that is already possible and which is being introduced in fashion stores here and there. But how probable is it that this technological innovation will become a permanent feature of our shopping experience? To answer this question we shall describe the expectations that exist about the developments in shopping over the coming years. We shall then examine to what extent these developments already play a role in shopping now, in 2014. In order to maintain an overview, we shall introduce a typology based on the STOF model. All of the innovations mentioned are ultimately aimed at offering added value for the consumer, but who is that consumer and what does he or she need? An inventory of how the shopping consumer is regarded makes it clear that new perspectives are required in order to do justice to the complexity of the retail behaviour and the retail experience. Finally, we will briefly examine specific cross-media aspects of shopping, such as the multichannel strategy of retail outlets and the role of the physical store in relation to the webshop. We end by offering a research framework for the 'service encounter' in the retail process based on the concept of Servicescapes. This framework allows to chart and answer a number of essential questions surrounding the probability of innovations more systematically.

Automatic Measurement of Corporate Reputation for Retail Companies from Online Public Data on the Web

Retail industry consists of the establishment of selling consumer goods (i.e. technology, pharmaceuticals, food and beverages, apparels and accessories, home improvement etc.) and services (i.e. specialty and movies) to customers through multiple channels of distribution including both the traditional brickand-mortar and online retailing. Managing corporate reputation of retail companies is crucial as it has many advantages, for instance, it has been proven to impact generated revenues (Wang et al., 2016). But, in order to be able to manage corporate reputation, one has to be able to measure it, or, nowadays even better, listen to relevant social signals that are out there on the public web. One of the most extensive and widely used frameworks for measuring corporate reputation is through conducting elaborated surveys with respective stakeholders (Fombrun et al., 2015). This approach is valuable but deemed to be laborious and resource-heavy and will not allow to generate automatic alerts and quick and live insights that are extremely needed in this era of internet. For these purposes a social listening approach is needed that can be tailored to online data such as consumer reviews as the main data source. Online review datasets are a form of electronic Word-of-Mouth (WOM) that, when a data source is picked that is relevant to retail, commonly contain relevant information about customers’ perceptions regarding products (Pookulangara, 2011) and that are massively available. The algorithm that we have built in our application provides retailers with reputation scores for all variables that are deemed to be relevant to retail in the model of Fombrun et al. (2015). Examples of such variables for products and services are high quality, good value, stands behind, and meets customer needs. We propose a new set of subvariables with which these variables can be operationalized for retail in particular. Scores are being calculated using proportions of positive opinion pairs such as <fast, delivery> or <rude, staff> that have been designed per variable. With these important insights extracted, companies can act accordingly and proceed to improve their corporate reputation. It is important to emphasize that, once the design is complete and implemented, all processing can be performed completely automatic and unsupervised. The application makes use of a state of the art aspect-based sentiment analysis (ABSA) framework because of ABSA’s ability to generate sentiment scores for all relevant variables and aspects. Since most online data is in open form and we deliberately want to avoid labelling any data by human experts, the unsupervised aspectator algorithm has been picked. It employs a lexicon to calculate sentiment scores and uses syntactic dependency paths to discover candidate aspects (Bancken et al., 2014). We have applied our approach to a large number of online review datasets that we sampled from a list of 50 top global retailers according to National Retail Federation (2020), including both offline and online operation, and that we scraped from trustpilot, a public website that is well-known to retailers. The algorithm has carefully been evaluated by manually annotating a randomly sampled subset of the datasets for validation purposes by two independent annotators. The Kappa’s score on this subset was 80%.

Serendipity and retail

From Schedule Push to Reality Pull: Reality Pull prefers Retail

The Internet is changing the way we organise work. It is shifting the requirement for what we call the ‘schedule push’ and the hierarchical organisation that it implies, and therefore it is removing the type of control that is conventionally used to match resources to tasks, and customer demand to supplies and services. Organisational hierarchies have become too expensive to sustain, and in many cases their style of coordination is simply no longer necessary. The cost complexity of the industrial complex starts to outweigh the benefits and the Internet is making it redundant.

Persuasive location-based messaging to increase store visits: An exploratory study of fashion shoppers

Although it appears increasingly important yet potentially challenging to attract customers to physical stores, location-based messaging, i.e., delivering mobile phone messages using data about the recipient's location when that recipient is near the sender, has been said to enable such attraction. Still, existing studies offer very limited insight into which particular location-based persuasion approach retailers should use. Drawing on persuasion theory, this exploratory study aims to investigate and compare the potential of two discrepant persuasion techniques (scarcity and social proof) to influence customers' experiences and thereby stimulate them to visit the retailer's physical store. A factorial survey design was applied to test the research model. Data were collected from a sample of actual customers of a Dutch fashion retailer (n = 579). The results suggest that scarcity is a more effective persuasion technique in the studied context than social proof; scarcity-focused messages appear to be experienced as more informative, more entertaining and less irritating, seem to be valued more because of this, and are thus more likely to incline customers to visit the store. We discuss these findings and their implications for theory as well as for practice.