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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

The purpose of this study was to examine consumer data acquired by branded prescription drug websites and the ethics of privacy related to the interconnected web of personal information accessed, packaged and resold by tracker technologies.

The research used the DMI Tracker Tool to collect data on the top 17 branded prescription drug websites, with a specific interest in the tracker technologies embedded in those websites. That data was analyzed using Gephi, an open-source data visualization tool, to map the network of trackers embedded in those branded prescription drug websites.

Findings visualize the interconnections between tracker technologies and prescription drug websites that undergird a system of personal data acquisition and programmatic advertising vehicles that serve the interests of prescription drug marketers and Big Tech. Based on the theory of platform ethics, the study demonstrated the presence of a technostructural ecosystem dominated by Big Tech, a system that goes unseen by consumers and serves the interests of advertisers and resellers of consumer data.

The 17 websites used in this study were limited to the top-selling prescription drugs or those with the highest ad expenditures. As such this study is not based on a random sampling of branded prescription drug websites. The popularity of these prescription drugs or the expanse of advertising associated with the drugs makes them appropriate to study the presence of tracking devices that collect data from consumers and serve advertising to them. It is also noted that websites are dynamic spaces, and some trackers within their infrastructures are apt to change over time.

Branded prescription drug information has over the past three decades become part of consumers’ routine search for information regarding what ails them. As drug promotion moved from print to TV and the Web, searching for drug information has become a part of everyday life. The implications of embedded trackers on branded prescription drug websites are the subject of this research.

This study has significant social implications as consumers who are searching for information regarding prescription medications may not want drug companies tracking them in a way that many perceive to be an invasion of privacy. Yet, as the Web is dominated by Big Tech, web developers have little choice but to remain a part of this technostructural ecosystem.

This study sheds light on branded prescription drug websites, exploring the imbalance between the websites under study, Big Tech and consumers who lack awareness of the system that operates backstage.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components. Data analytics, HRM and strategic business require empirical investigations and how to over come HR data analytics implementation issues.

A semi-systematic methodology for its evaluation allows for a more complete examination of the literature that emerges theoretical framework and a structured survey questionnaire for quantitative data collection from IT sector personnel. SPSS analyses data.

Future research is essential for organisations to exploit HR data analytics’ performance-enhancing potential. Data analytics should complement human judgment, not replace it. This paper details these transitions, the important contributions to theory and practice and future research.

Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. HR data analytics may improve strategic business. HR data analytics on employee retention, engagement and organisational success is insufficient. HR data analytics may boost performance, but there is limited proof. The authors do not know how HRM data analytics influences firms and employees.

Data analytics offers HRM new opportunities, along with technical and ethical challenges. This study makes a significant contribution to HR data analytics, evidence-based practice and strategic business literature. In addition to estimating turnover risk, identifying engagement factors and planning interventions to increase retention and engagement, HR data analytics can also estimate the risk of employee attrition.

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

Emphasizing the critical role of technology-enabled distribution in tourism, this study, a viewpoint, aims to highlight the potential of democratized technologies in readdressing the competitive imbalance between small- and medium-sized tourism enterprises (SMTEs) and their larger peers in today’s online marketplace. By enhancing competitiveness and performance, democratized technologies can strengthen the resilience, sustainability and competitive position of the SMTEs on which tourism depends, helping to support the Horizon 2050 agenda and UN’s Sustainable Development Goals.

Examining the development of online and electronic distribution in tourism, the viewpoint identifies the key challenges to the successful use of technology-based distribution systems by SMTEs, as well as highlights the trend toward democratized technologies as a potential solution to help improve technology take-up and performance.

With no/low initial capital or operating costs, and little need for technical expertise, democratized technologies have the potential to overcome two of the three key challenges limiting the successful adoption and use of distribution technologies by SMTES. The key blockage remains one of managerial awareness and acceptability. With informal organization structures, little managerial or technical training and an ingrained reluctance to change, SMTE managers remain unfamiliar of the possibilities offered by this developing trend. While this challenge could be addressed by awareness building and training, in the longer run, it is likely that more substantial progress will arise from generational change in SMTE management, with digitally native successors more likely to exploit this development to improve competitiveness and performance.

Emphasizing the pivotal role that democratized technology can potentially play in redressing the competitive imbalance between SMTEs and their larger peers in the distribution space, this viewpoint serves as a call for action for tourism businesses to re-examine their approach to technology adoption and leverage democratized technologies to address current deficiencies in their distribution approach, helping to improve competitiveness and performance, thus supporting the Horizon 2050 initiative and furthering the UN’s Sustainable Development Goals.

这篇观点论文强调了技术驱动的分销在旅游业中的关键作用, 强调了民主化技术在重新解决中小旅游企业（SMTEs）与其大型同行在当今在线市场中的竞争失衡方面的潜力。通过提高竞争力和绩效, 民主化技术可以加强旅游业所依赖的SMTE的韧性、可持续性和竞争地位, 有助于支持地平线2050议程和联合国可持续发展目标。

该观点论文考察了在线和电子分销在旅游业的发展, 确定了SMTE成功使用基于技术的分销系统的关键挑战, 并强调了将民主化技术作为帮助提高技术使用率和性能的潜在解决方案的趋势。

由于没有/较低的初始资本或运营成本, 也几乎不需要技术专业知识, 民主化技术有可能克服限制SMTES成功采用和使用分销技术的三个关键挑战中的两个。关键的障碍仍然是管理意识和可接受性。由于非正式的组织结构、很少的管理或技术培训以及根深蒂固的不愿改变, SMTE的管理人员仍然不熟悉这一发展趋势所提供的可能性。虽然这一挑战可以通过提高认识和培训来解决, 但从长远来看, SMTE管理的代际变革可能会带来更大的进展, 数字原生继任者更有可能利用这一发展来提高竞争力和绩效。

强调民主化技术在纠正SMTE与其在分销领域的大型同行之间的竞争失衡方面可能发挥的关键作用, 本文呼吁旅游企业采取行动, 重新审视其采用技术的方法, 并利用民主化技术来解决其分销方法中的当前缺陷, 帮助提高竞争力和绩效, 从而支持地平线2050倡议, 推动联合国的可持续发展目标。

Haciendo hincapié en el papel fundamental de la distribución posibilitada por la tecnología en el turismo, este punto de vista destaca el potencial de las tecnologías democratizadas para corregir el desequilibrio competitivo entre las Pequeñas y Medianas Empresas Turísticas (PYMETs) y sus homólogas de mayor tamaño en el mercado online actual. Al mejorar la competitividad y el rendimiento, las tecnologías democratizadas pueden reforzar la resistencia, la sostenibilidad y la posición competitiva de las PYMETS de las que depende el turismo, contribuyendo así a apoyar la agenda Horizonte 2050 y los Objetivos de Desarrollo Sostenible de la ONU.

Examinando el desarrollo de la distribución online y electrónica en el turismo, el punto de vista identifica los desafíos clave para el uso exitoso de los sistemas de distribución basados en la tecnología por parte de las PYMETs, así como destaca la tendencia hacia las tecnologías democratizadas como una solución potencial para ayudar a mejorar la adopción y el rendimiento de la tecnología.

Con unos costes iniciales de capital o de funcionamiento nulos o bajos, y poca necesidad de conocimientos técnicos, las tecnologías democratizadas tienen el potencial de superar dos de los tres retos clave que limitan la adopción y el uso con éxito de las tecnologías de distribución por parte de las PYMETs. El bloqueo clave permanece en la concienciación y la aceptación por parte de los directivos. Con estructuras organizativas informales, escasa formación técnica o de gestión y una arraigada reticencia al cambio, los directivos de las PYMETs permanecen desconocedores de las posibilidades que ofrece esta tendencia en desarrollo. Aunque este reto podría abordarse mediante la concienciación y la formación, a largo plazo es probable que surjan progresos más sustanciales del cambio generacional en la gestión de las PYMETs, con sucesores nativos digitales más propensos a explotar este desarrollo para mejorar la competitividad y el rendimiento.

Haciendo especial hincapié en el potencial y fundamental papel que la tecnología democratizada puede desempeñar a la hora de corregir el desequilibrio competitivo entre las PYMETs y sus homólogas de mayor tamaño en el espacio de la distribución, este punto de vista sirve de llamada a la acción para que las empresas turísticas reexaminen su enfoque de la adopción de tecnología y aprovechen las tecnologías democratizadas para subsanar las deficiencias actuales en su enfoque de la distribución, ayudando a mejorar la competitividad y el rendimiento, apoyando así la iniciativa Horizonte 2050 y fomentando los Objetivos de Desarrollo Sostenible de la ONU.

This compact case provides a relatively large data set that students explore using visualization and a Tableau dynamic dashboard that they create. Students were asked to describe what the data set contained in relation to employee attrition experience of Baca Beverage Distributors (BBD). The application and managerial questions are set in human resources and a company that is facing high attrition during the pandemic.

BBD shared their data and problem scenario for this compact case. The protagonist, Morgan Matthews, was the authors’ contact and provided significant clarification and guidance about the data. Both the company and the protagonist have been disguised. Some of the job positions have been rephrased. All names of employees, supervisors and managers have been replaced with codes.

During the 2020–2022 pandemic years, BBD experienced, like many companies, a higher than usual employee turnover rate and Morgan Matthews, Director of People, was concerned. Not only was it time-consuming, expensive and disruptive but the company had prided itself on being a good place to work. Were they hiring the right people, people that fit the company culture and people that fit the positions for which they were hired? The company had been using the Predictive Index [1] when on-boarding employees. In addition, there were results from self-reviews and manager reviews that could be used. Morgan wondered if data visualization and visual analytics would be useful in describing their employees and whether it would reveal any opportunities to improve the turnover rate. Before seeking a solution for the high turnover, it was important to step back and learn what the data said about who was leaving and the reasons they gave for leaving.

This compact case can be used in courses that include visualization using Tableau and dashboards. As it is a compact case, it requires less preparation time from the students and less class time for discussion. The case is for students who have been recently introduced to business analytics, specifically visualization and data storytelling with Tableau. For this reason, significant guidance has been provided in the case assignment. The level of the case can be adjusted by the amount of guidance provided in the case assignment. Courses include introduction to business analytics, descriptive analytics and visualization, communication through data storytelling. The case can be used for all modalities – in person, hybrid, online. The authors use it here for visualization and dynamic dashboards but using the same data set and compact case description, exploratory data analysis could be assigned.

Supplementary material for this article can be found online.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

Digitalization and marketing technologies have made it possible to overcome some barriers to pricing – a multidisciplinary field between marketing, finance and IT – and have set the stage for a paradigm shift in the pricing profession. Value creation, the pricing process, and price communication have been transformed by innovative business models and advanced algorithmic and human–machine solutions. This chapter synthesizes the literature to date and provides a comprehensive framework for an all-encompassing 360° pricing approach that broadens the understanding of pricing in the context of digital business across all steps of the price management process. Starting from product attributes and motivational beliefs in consumers' value assessment and adoption of (technological or digital) products or services, new business models and pricing models emerge in the digital economy, human–machine solutions for price implementation and repricing are increasingly applied, and price search and communication take place through a variety of digital communication channels. Each stage of this framework discusses concrete examples, highlighting the freemium strategy, the subscription model, price tracking and repricing tools, and digital price information channels such as e-commerce, marketplace, or price comparison platforms. The implications for price management in a digital, technology-driven landscape are discussed from the executive level to the analyst level.