Zoekresultaten

Co-creation and co-design in pop-up stores

Co-creation as a concept and process has been prominent in both marketing and design research over the past ten years. Referring respectively to the active collaboration of firms with their stakeholders in value creation, or to the participation of design users in the design research process, there has arguably been little common discourse between these academic disciplines. This article seeks to redress this deficiency by connecting marketing and design research together—and particularly the concepts of co-creation and co-design—to advance theory and broaden the scope of applied research into the topic. It does this by elaborating the notion of the pop-up store as temporary place of consumer/user engagement, to build common ground for theory and experimentation in terms of allowing marketers insight into what is meaningful to consumers and in terms of facilitating co-design. The article describes two case studies, which outline how this can occur and concludes by proposing principles and an agenda for future marketing/design pop-up research. This is the peer reviewed version of the following article: Overdiek A. & Warnaby G. (2020), "Co-creation and co-design in pop-up stores: the intersection of marketing and design research?", Creativity & Innovation Management, Vol. 29, Issue S1, pp. 63-74, which has been published in final form at https://doi.org/10.1111/caim.12373. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. LinkedIn: https://nl.linkedin.com/in/overdiek12345

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.

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%.

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.

Serendipity and retail

Markenarchitekturen im Lebensmitteleinzelhandel - Irritierende Befunde aus einer betriebsformen- und länderübergreifenden Betrachtung

In the grocery retail sector a systematic approach of brand portfolio strategy for own label brands has gained relevance in recent times. In this context, brand portfolio strategies can be considered common practice for retailers for brand architectures which should visualise a coordinated approach between private label brands and retail brands. This paper examines the brand architectures of four grocery stores in each Germany and the Netherlands. By using a model of Laforet & Saunders, the results show significant differences in the applied architectures of retailers compared to FMCG suppliers. It is the type of retail format that has the most significant impact on the type of brand architecture being applied in the grocery retail sector.