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This teaching case aims to analyze the business model of Amaro, a company that directly sells lifestyle goods to end consumers (B2C), focused on the women's market. Amaro's original business model is introduced and a challenging dilemma is proposed: could Amaro innovate its business model, moving from a digitally native vertical brand (DNVB)-type company to a platform, specifically a vertical marketplace focused on the female audience? Would Amaro be prepared for this evolution or would it be more appropriate to focus on or strengthen the DNVB model?

This teaching case was developed based on in-depth interviews with Amaro's leadership. The teaching notes were proposed based on business model innovation, competitive positioning and market trends concepts. The teaching case considers a new type of business model called DNVB. Students can review the concepts, create analyses and recommend which strategic options can leverage the company for a new growing cycle.

Using the case study in the classroom should promote the discussion and reflections on business model innovation and the future of retail in omnichannel contexts - Amaro offers products online (on an e-commerce platform and native mobile applications) and physically in locations called guide shops. The authors suggested the adoption of frameworks and tools (e.g. the competitive positioning map to allow students to visualize ways to compare strategies and make decisions).

The case introduces a fictional dilemma related to the decision to maximize offline or online investments or completely change the company's business model by adding a new vertical marketplace approach.

This teaching case contributes to the student's learning about business model innovation and evolution. Case discussions could explore contemporary concepts such as value proposition, disintermediation and omnichannel commerce.

Offering goods directly to the consumers by using modern technological architecture through vertical integration within the supply chain makes the DNVB business model an original topic in the start-up segment.

This study aims to estimate the overall SARS-CoV-2 seroprevalence and evaluate the accuracy of an antibody rapid test compared to a reference serological assay during a COVID-19 outbreak in a prison complex housing over 13,000 prisoners in Brasília.

The authors obtained a randomized, stratified representative sample of each prison unit and conducted a repeated serosurvey among prisoners between June and July 2020, using a lateral-flow immunochromatographic assay (LFIA). Samples were also retested using a chemiluminescence enzyme immunoassay (CLIA) to compare SARS-CoV-2 seroprevalence and 21-days incidence, as well as to estimate the overall infection fatality rate (IFR) and determine the diagnostic accuracy of the LFIA test.

This study identified 485 eligible individuals and enrolled 460 participants. Baseline and 21-days follow-up seroprevalence were estimated at 52.0% (95% CI 44.9–59.0) and 56.7% (95% CI 48.2–65.3) with LFIA; and 80.7% (95% CI 74.1–87.3) and 81.1% (95% CI 74.4–87.8) with CLIA, with an overall IFR of 0.02%. There were 78.2% (95% CI 66.7–89.7) symptomatic individuals among the positive cases. Sensitivity and specificity of LFIA were estimated at 43.4% and 83.3% for IgM; 46.5% and 91.5% for IgG; and 59.1% and 77.3% for combined tests.

The authors found high seroprevalence of anti-SARS-CoV-2 antibodies within the prison complex. The occurrence of asymptomatic infection highlights the importance of periodic mass testing in addition to case-finding of symptomatic individuals; however, the field performance of LFIA tests should be validated. This study recommends that vaccination strategies consider the inclusion of prisoners and prison staff in priority groups.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.

This study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.

Although research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574