The rise of social commerce has brought several new challenges for firms and reshaped the way people purchase products and services. Firms are struggling to co-create value with customers to identify ...their needs and offer innovative products. To address these challenges, this study proposes a value co-creation circle and explores the key factors for developing a successful value co-creation circle on social commerce platforms. A case study of a taxi company in Taiwan was conducted. Data was collected from face-to-face interviews with the managers and analysed using Google Analytics. The proposed value co-creation circle not only creates benefits from network externality by the growth in membership, but also enhances service quality in the social commerce platform. This study explores a new perspective of the value co-creation circle in the social commerce environment that allows practitioners to develop a value circulation by network externality and co-create value with customers.
•A value co-creation circle in service innovation is proposed.•The operations of service business model have been prototypically implemented.•We propose a new service innovation business model in the research.
Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and ...efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various.
The main aim of the study was to explore the feature selection process of online web data prior to unsupervised machine learning models. At the time of writing, no such literature could be found ...reporting the use of feature selection in this context. Feature selection was determined by inspecting the variability and association between features. The variability of numeric features were quantified using the variance, mean absolute difference and dispersion ratio metrics whilst the coefficient of unalikeability was employed for categorical features. To quantify association, correlation matrices were used for numeric features, chi-squared independence tests between categorical features and box-and-whisker plots between mixed features. The main findings showed the variance, mean absolute difference, dispersion ratio and coefficient of unalikeability metrics have successfully highlighted features with very low variability within the observed data. Whilst the correlation matrix, chi-squared test for independence and box-and-whisker plots highlighted possible redundancy, natural relationships and insightful relationships between the features thereby suggesting features to be considered for omission prior to unsupervised modelling. The proposed methods and findings can be applied to various other applications of feature selection and exploration.
Patients considering gender-affirming surgery often utilize online health materials to obtain information about procedures. However, the distribution of patient concerns and content of online ...resources for gender-affirming surgery have not been examined. We aimed to quantify and comprehensively analyze the most searched questions of patients seeking gender-affirming surgery and to examine the quality and readability of associated websites providing the answers.
Questions were extracted from Google using the search phrases “gender-affirming surgery,” “transgender surgery,” “top surgery,” and “bottom surgery.” Questions were categorized by topic and average search volume per month was determined. Websites linked to questions were categorized by type, and quality of the health information was evaluated utilizing the DISCERN instrument (16–80). Readability was assessed with the Flesch Reading Ease Score and Flesch-Kincaid Grade Level.
Ninety questions and associated websites were analyzed. Common questions were most frequently answered by academic websites (30%). Topics included cost (27%), technical details of surgery (23%), and preoperative considerations (11%). Median (interquartile range) DISCERN score across all website categories was 42 (18). The mean readability was of a 12th-grade level, well above the grade six reading level recommended by the American Medical Association.
Online gender-affirming surgery materials are difficult to comprehend and of poor quality. To enhance patient knowledge, informed consent, and shared decision-making, there is a substantial need to create understandable and high-quality online health information for those seeking gender-affirming surgery.
•Shopping journeys developed based on eye tracking and Google Analytics data compared.•Google Analytics track only half of digital users’ activities on retailer’s website.•Eye tracking documents a ...full interaction with all elements on fashion retailer’s website.•Google Analytics provide a limited account about User Experience.•Eye tracking has the potential to audit Google Analytics database to improve marketing decision-making.
Rapid changes in digital consumer behaviour, influenced by exponential adoption of smartphones, require timely and sophisticated responses from retailers to these consumer needs. With a growing amount of big data available, fashion retailers need to innovate and develop more sophisticated analytics for new consumer behaviours such as m-commerce. This research has considered how Google Analytics data can be applied to develop customer journey maps to understand digital consumer behaviour. A multi-method research design was used, incorporating an innovative mobile eye tracking technology and mobile fashion consumer data from Google Analytics. Digital customers’ shopping journeys on the fashion retailer’s website were mapped using data sourced from eye tracking and Google Analytics, gathered in parallel. The comparison of these shopping journeys allowed a critical evaluation of the precision and usefulness of the Google Analytics database. Google Analytics tracked only half of the digital users’ activities, whereas eye tracking data documented digital consumers’ interaction with all elements of the fashion retailer’s website. The conclusion reached is that eye tracking can be used to audit the Google Analytics database for potential gaps in data and also to inform and improve marketing decision-making.
The environmental and socio-economic impacts of the Nigerian Threatened Native Trees Project are presented. This project conducted propagation trials and developed a freely downloadable online Manual ...of Tree Propagation (MTP) for 55 native tree species, training 146 local experts (32 women and 114 men) during the period (November 2015—December 2022). We used Google Analytics and interviews to assess the impacts of this project from January 2018—July 2023 (iEcology). Results show that the MTP has been downloaded 1013 times, with the star apple Gambeya albida (76), gum tree Tetrapleura tetraptera (65) and bitter kola Garcinia kola (50) topping the list. These downloads were from 15 countries spread across the world. Interestingly, the seven African countries that downloaded the MTP are concentrated in the tropical belt with similar floristic composition. The native range of almost all the propagated species overlaps with these African countries, suggesting the adoption of our MTP, and practically demonstrating the conservation mantra of “think globally, act locally”. In addition, the MTP has been deployed for academic work (i.e., grey literature) and reforestation (e.g., covering c. 1200 ha in Nigeria). By revealing suitable propagation techniques and training local foresters, our approach could boost the utilization of native tree species for reforestation in Africa.
Marketing professionals and business owners strive to evaluate the effectiveness of their marketing investments. With multiple marketing channels at their disposal, understanding how these channels ...interact and influence each other is crucial. Digital analytics tools, such as Google Analytics, tend to measure the isolated success of each marketing channel. However, the intertwined effects and interdependencies between channels are often undervalued. This study, therefore, ventures into this territory. It focuses on the association between website traffic from various digital marketing channels and the purchases made by users visiting websites through direct traffic sources. We analyzed 89,394 purchases from an e-commerce business in Europe. We conclude that three marketing channels can explain 61% of the variance. By shedding light on this overlooked aspect, we aim to guide advertisers toward a more holistic understanding of digital marketing channels.
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