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Using a unique large-scale clickstream data set from a mobile commerce retailer, we examine the effect of the mobile shopping app and mobile operating system versions on consumer search and purchase behaviors in mobile commerce. We find that the consumers with an up-to-date shopping app or mobile operating system (but not both) compared to previous versions conduct more searches in terms of increased product page views and time spent on product pages, which in turn results in higher consumer purchase probability. Surprisingly, the consumers with both an up-to-date shopping app and mobile operating system have reduced search activities and lower purchase probabilities. Our results show that the mobile commerce environment affects the consumer shopping process in a non-linear fashion and indicate that there exists a "sweet spot" with the right level of smoothness in the mobile shopping environment. Our computations show that when compared to the baseline of using previous versions of both, using an up-to-date mobile shopping app alone increases consumer search activities by 336 more product pages or 1,975 more seconds spent, and using an up-to-date mobile operating system alone increases consumer search activities by 976 more product pages or 7,258 more seconds spent. However, using both an up-to-date mobile shopping app and mobile operating system only increases consumer search activities by 270 more product pages or 1,569 more seconds, compared to the baseline. One more product page viewed or one more second spent increases the average consumer purchase probability by 4.38% or 1.35%, respectively.

Using proprietary data from a major fund data provider, we analyze the screening activity of investment consultants (ICs). We find that ICs frequently shortlist funds using threshold screens clustered at $500MM for AUM, 0% for benchmark-adjusted return, and quartiles for return percentile rank screens. Funds just above the $500MM AUM threshold get 14%–18% more page views and 5–9 pp greater flows over the next year compared to similar funds just below the threshold. Our results are consistent with ICs using a two-stage consider-then-choose decision-making process and cognitive reference numbers in selecting screening thresholds. (JEL G41, G11, G14, G29) Received January 8, 2021; editorial decision September 3, 2021. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Objective. To evaluate the results of the information and communication campaign to promote a healthy lifestyle through a comparative analysis of the use of the takzdorovo.ru Internet portal in 2018–2019.Methods. Comparative analysis of the use of the Internet portal takzdorovo.ru in 2018–2019. was carried out by analyzing the data of the Yandex.Metrica web analytics system. As a source of information on the prevalence of risk factors from 2018 to 2019 we used data from a sample observation of behavioral factors affecting the health status of the population and the compilation “Healthcare in Russia – 2019” by Rosstat, as well as data from surveys of VTsIOM and the Public Opinion Foundation.Results. The total number of visits to the Internet portal takzdorovo.ru after the information and communication campaign increased by 6,4 times. In 2018, the number of unique visitors to the Internet portal reached 449,302 people, in 2019 – 1,82 million people, an increase of 4 times. The number of page views on the site during the reporting period increased by 8,6 times. Also, a number of behavioral characteristics of users of the takzdorovo.ru Internet portal have improved, for example, attendance by time of day, from various types of devices, page viewing depth, number of failures and duration of the visit on the takzdorovo.ru Internet portal.Conclusion. Conducting a communication campaign within the framework of the federal project “Strengthening Public Health” of the national project “Demography” made it possible to attract citizens to use a reliable Internet resource about healthy lifestyles, which is filled by leading experts in the field of health protection.The conducted communication campaign has demonstrated the effectiveness of attracting the target audience to information materials on the preservation and promotion of health, and indicates the need to support and replicate this experience in order to attract and further motivate the population to lead a healthy lifestyle.

Protected areas (PAs) are often seen as opportunity costs and are therefore vulnerable to political decisions that open them up to public or private development initiatives. We reasoned that, ceteris paribus, PAs with high levels of public support should be more resilient to such decisions because; i) politicians in democratic societies are reluctant to make unpopular/controversial decisions that go against public opinion, and; ii) the proposed development of popular PAs is more likely to be met by vigorous resistance (‘push-back’) from NGOs and other societal actors. Nevertheless, public interest and, by extension, support for protected areas has rarely been considered in PA risk assessments. Here, we propose an innovative approach to assessing the political vulnerability of PAs that combines indices of developmental pressures (from the DOPA database) with an innovative culturomic-derived metric of public interest based on Wikipedia page views. Using automated methods, we quantify the political vulnerability status of 523 Brazilian PAs. Our analysis reveals a large number of PAs that may be politically vulnerable, being characterized by a combination of high developmental pressure and low/very low levels of public interest. For such PAs, we recommend managers take measures to increase public interest to ensure a healthy base of public support in the future. We conclude that digital metrics of public interest are simply and inexpensively generated, and could be easily incorporated into the existing assessment systems for protected areas.

Rapid advancements in digital technology have had a significant influence on businesses' websites. Organizations with well-designed websites have the potential of attracting customers, generating revenues, and increasing market share. Nevertheless, many organizations that are investing billions of US dollars on websites and page development are not attracting customers or generating revenues, incomes, and profits as expected. The study focuses on bounce rate as a key performance measure of website effectiveness. The research focus is on the factors that influence bounce rate to provide insights to advertisers and websites' designers to predict the effectiveness and quality of online advertisements before these ads are shown to both web users and online visitors. The authors investigated the influence of page view, unique page view, average time on page, entrances, and percent exit on bounce rate. The study shows that unique pageviews, average time on page, entrance, and percent exit have a positive and significant effect on bounce rate and have practical and research implications.

In response to the COVID-19 public health emergency, the University of Kansas Center for Telemedicine & Telehealth (KUCTT) adopted a multipronged, digital strategy to address COVID-induced, high-volume telehealth inquiries in Kansas and sought to quickly disseminate rapidly evolving federal policy updates and foundational telehealth implementation guidance. Retrospectively, KUCTT examined participant engagement in three educational approaches (e.g., telehealth webinars, Project ECHO, brief instructional/informational videos) that were developed and delivered in real time to meet the specific and unique needs of healthcare administrators and providers due to the COVID-19-forced surge in telehealth utilization. KUCTT observed significant increases in telehealth educational engagement and website access in response to the COVID-19 telehealth surge and the multi-pronged digital educational strategy. From January to September of 2020, average attendance at non-COVID-19 ECHOs was 56.1 attendees while the average attendance for two COVID-19 ECHOs that occurred in March of 2020 was 225 attendees, a 300% increase in attendance. The University of Kansas Medical Center (KUMC) Telehealth website received triple the amount of page views in March and April of 2020 (n=1,559) compared to January and February of 2020 (n=526). Healthcare providers used and engaged with the educational programs in this fast-tracked, digital approach at greater rates when compared to pre-pandemic program and web data. This interest mirrors the COVID-19 telehealth surge and suggests that a multipronged approach was effective in disseminating rapidly evolving telehealth policy and defining essential elements of telehealth implementation.

Background: The impact of promotional tweets from the official journal account (for Circulation Journal and Circulation Reports) on article viewership has not been thoroughly evaluated. Methods and Results: We retrospectively collected journal viewership data for Circulation Journal and Circulation Reports from March 2021 to August 2021. We compared viewership between articles with (n=15) and without (n=250) tweets. After 1 : 4 propensity score matching (15 tweeted articles and 60 non-tweeted matched controls), journal viewership metrics within 7 days of the tweeting date (and the hypothetical tweeting date), was larger in tweeted articles than non-tweeted articles (median [interquartile range] Abstract page views 89 [60–104] vs. 18 [8–41]). Conclusions: This pilot study suggests a positive relationship between journal-posted promotional tweets and article viewership.

The present study reports an evaluation of web analytics, over a 5-year period, for HeadsUpGuys.org , an eHealth resource for men with depression. Google Analytics, Search Console, and Tag Manager were used to monitor user activity over the course of the website’s first 5 years (June 15, 2015–June 15, 2020). Through this period, HeadsUpGuys had a total of 1,665,356 unique users, amounting to 1,948,481 sessions and 3,328,258 page views. Organic traffic accounted for the highest proportion (53.44%; n = 1,041,277) of website sessions. Four of the top 10 Google search queries that brought users to the website related to suicidality. Three countries (United States, United Kingdom, Canada) accounted for almost three-quarters (71.10%; n = 1,385,485) of the site’s traffic. Nearly three-quarters (73.35%; n = 1,429,285) of sessions occurred on a mobile device. The goal conversion rate for the Self Check was 60.27%. The average time on page was 2 min 53 s, with a bounce rate of 65.92%, and an exit rate of 57.20%. The goal conversion rate for the Stress Test was 52.89%. The average time on page was 4 min 8 s, with a bounce rate of 72.40% and an exit rate of 48.88%. The conversion rate for the final goal was 11.53%, indicating that approximately one in 10 visitors to the site had a session of at least 3 min. The findings illustrate the potential of eHealth resources to support men’s mental health and provide a real-world benchmark to help advance the men’s eHealth field.

Background When the UK went into national lockdown in March 2020, there were many questions about what that would mean for someone with a terminal illness. At a time when many face-to-face services had to stop, people had more questions than ever before. There was little government guidance for specific questions related to terminal illness and caring. Many carers, family members and people with an illness felt more isolated than ever before. Aim We wanted to make a dedicated online information hub to provide a place where these questions could be answered, linking to our wider support offer. Method We streamlined our usual content production process to get this information to our audience at the time they needed it. This allowed a small team to continually update our pages in plain English, providing guidance for all four nations of the UK as rules regularly changed. We maintained a high level of involvement from health and social care professionals, as well as policy stakeholders, ensuring the content was accurate, up-to-date, and relevant for our audience. The hub is available free on our website, and consists of 23 pages. The comprehensive resource answers questions related to coronavirus (and restrictions) for those at different stages of the caring journey - it is not just aimed at people who have (or had) COVID-19. Results We monitored impact using Google Analytics and page surveys. Between 1 April 2020 and 31 March 2021, the hub had been accessed by 879,653 users. The page views for the hub were regularly between 25k-30k per week during this period. Three quarters of our users found the page they were reading useful, and said they felt better informed and reassured. The resource was shortlisted (final five from over 260 entries) for the BMA Patient Information award in 2021.

User experience evaluation approach is the major key to adapt the new trends and technology. The product launch is based on the various opinions of users and availability of product. The first impression about the product makes successful sales, which is analysed with UX (User eXperience) design. Before developing / launching the product, have to evaluate the user experience model by online sources. The opinion/sentimental analysis are the way to capture the people’s opinion about the product. Rating, page session, website page views, and number of buyers or users are evaluated as a graph model and predict the requirement of the product. This process makes the product’s benefits. The previous work utilizes the Markov Chain Monte Carlo (MCMC) Method to model the UX design. In this proposed research work, the opinion mining approach is used to get the dataset from Google analytics. This dataset is model using Kernel based Naïve Bayes Classification algorithm and the prior & posterior probability is calculated by MCMC (Markov Chain Monte Carlo) techniques. Classification approach takes the training and testing data. Here the confusion matrix is used to create the UX evaluation model’s accuracy. By this proposed algorithm, it summarized the positive and negative opinion then we can calculate the accuracy of the system and it easily identifies the user opinion. This proposed UX design model improves the result as compared to the previous MCMC method. The data mining based sentimental classification is done with the help of MATLAB 2018a tool.

In this study, we examine the relationship between the crypto markets of Bitcoin, Ethereum, Litecoin, XRP and public attention for the crypto assets on the online platforms Reddit and Wikipedia in terms of the evolution of multifractal characteristics. Public attention and interest are measured by number of Wikipedia pageviews, number of Reddit posts and sentiment analysis of Reddit post titles. Complexity parameters regarding to cross-correlations are retrieved from Multifractal Detrended Cross-Correlations Analysis (MF-DCCA). All the time series mainly indicate varying degree of multifractality for varying periods and anti-persistent behavior dominantly. The cross-correlations regarding to the attention in the crypto assets on Wikipedia and Reddit share slightly different dynamics. Cross-correlations of social platform series with return series have different dynamics than that of with volume change series. The time series regarding to USD and BTC markets of altcoins share similar dynamics with each other and that of Bitcoin in terms of anti-persistence and the degree of multifractality.

Protected Areas (PAs) are the cornerstone of global conservation action and the most effective strategy for conserving the Earth’s biodiversity. Nevertheless, there is evidence that PAs are increasingly viewed by politicians and policy-makers as opportunity costs that constrain economic development. In the absence of societal resistance (‘push-back’) in the form of campaigns and/or lobbying, such attitudes leave many PAs vulnerable to downgrading, downsizing or degazettement (PADDD). The potential to mobilize public support for any given PA is difficult to directly measure, but is likely to be strongly correlated with contemporary levels of public interest and awareness. Here, we use Wikipedia page views (PVs) as a novel digital metric of public interest in PAs and demonstrate its utility through an analysis of Brazilian PAs. Because Brazil accounts for the vast majority of the World’s Portuguese speakers, we were able to generate separate metrics for national (PVs of Portuguese editions) and international (PVs of English editions) interest. We found that both national and international public interest is highest for larger, older PAs, especially National Parks. These results possibly reflect a historical bias towards designating the most iconic areas in the country first, with less scenic and more contested areas designated more recently. We also found that many PAs do not have a Wikipedia page, and many of those that do are rarely viewed by the public. The apparent low level of interest in these parks leaves them particularly vulnerable to development threats and, in our opinion, needs to be urgently addressed.