Online advertising: analysis of privacy threats and protection approaches

Online advertising, the pillar of the “free” content on the Web, has revolutionized the marketing business in recent years by creating a myriad of new opportunities for advertisers to reach potential customers. The current advertising model builds upon an intricate infrastructure composed of a variety of intermediary entities and technologies whose main aim is to deliver personalized ads. For this purpose, a wealth of user data is collected, aggregated, processed and traded behind the scenes at an unprecedented rate. Despite the enormous value of online advertising, however, the intrusiveness and ubiquity of these practices prompt serious privacy concerns. This article surveys the online advertising infrastructure and its supporting technologies, and presents a thorough overview of the underlying privacy risks and the solutions that may mitigate them. We first analyze the threats and potential privacy attackers in this scenario of online advertising. In particular, we examine the main components of the advertising infrastructure in terms of tracking capabilities, data collection, aggregation level and privacy risk, and overview the tracking and data-sharing technologies employed by these components. Then, we conduct a comprehensive survey of the most relevant privacy mechanisms, and classify and compare them on the basis of their privacy guarantees and impact on the Web.Peer ReviewedPostprint (author's final draft

Corporate venturing in the media & entertainment industry: contextual factors that influence corporate venture decision making

This research study focuses on Corporate Venturing (CV) within the Media and Entertainment(M&E) industry and investigates factors that influence CV decision-making. CV provides a viable strategy to facilitate innovation and organizational change within companies; however, this area is understudied within the M&E industry. Companies that make up the entertainment industry may not have specific insight into how best to exploit this opportunity. Specifically, this study looks at the influence of firm characteristics, industry characteristics, and other outside factors using the PESTLE strategy model characteristics impacting the parent or venture unit\u27s CV decision-making within the M&E industry. In terms of this research project, the focus is on the CV activity of the firm. Activity is defined as the decision to engage in corporate venturing, as well as the mode of CV to engage in. CV modes include, but are not limited to, corporate venture capital (CVC), venture alliances, and transformation arrangements. Additionally, in terms of M&E, this research focuses on television, film, and streaming with a specific emphasis on innovation and growth strategies. This research is a descriptive study and provides propositions to contribute to the emerging convergent literature on the topic. This research makes a relevant contribution to the fields of CV and strategy and to the entertainment and technology industries

Can Upward Brand Extensions be an Opportunity for Marketing Managers During the Covid-19 Pandemic and Beyond?

Early COVID-19 research has guided current managerial practice by introducing more products across different product categories as consumers tried to avoid perceived health risks from food shortages, i.e. horizontal brand extensions. For example, Leon, a fast-food restaurant in the UK, introduced a new range of ready meal products. However, when the food supply stabilised, availability may no longer be a concern for consumers. Instead, job losses could be a driver of higher perceived financial risks. Meanwhile, it remains unknown whether the perceived health or financial risks play a more significant role on consumers’ consumptions. Our preliminary survey shows perceived health risks outperform perceived financial risks to positively influence purchase intention during COVID-19. We suggest such a result indicates an opportunity for marketers to consider introducing premium priced products, i.e. upward brand extensions. The risk-as�feelings and signalling theories were used to explain consumer choice under risk may adopt affective heuristic processing, using minimal cognitive efforts to evaluate products. Based on this, consumers are likely to be affected by the salient high-quality and reliable product cue of upward extension signalled by its premium price level, which may attract consumers to purchase when they have high perceived health risks associated with COVID-19. Addressing this, a series of experimental studies confirm that upward brand extensions (versus normal new product introductions) can positively moderate the positive effect between perceived health risks associated with COVID-19 and purchase intention. Such an effect can be mediated by affective heuristic information processing. The results contribute to emergent COVID-19 literature and managerial practice during the pandemic but could also inform post-pandemic thinking around vertical brand extensions

Digital Libraries in Schools: The Best Practices of National Board Certified Library Media Specialists

This study investigated the digital library integration behaviors of school library media specialists (SLMSs) who have achieved certification from the National Board for Professional Teaching Standards (NBPTS). A qualitative interview study design was chosen to convert tacit knowledge related to digital library use into explicit knowledge that can be shared with others. The goal of this research was to identify behaviors and techniques that exemplary SLMSs share when using digital libraries to support the curriculum in K-12 schools. The researcher interviewed and collected artifacts from 10 local National Board certified SLMSs and analyzed the resulting transcripts and materials using thematic analysis. A preliminary coding scheme was derived from the NBPTS Library Media technology innovation standard, which requires candidates to demonstrate expertise in providing technology access, teaching effective technology use, engaging learners with technology, and using technology to enhance the curriculum. Themes related to these four areas emerged from the data, as did sub-themes in the form of barriers the SLMSs encountered and strategies they developed to meet the standard. The barriers are discussed using Ertmer's (1999) first- and second-order classifications. The strategies are the SLMSs' best practices. To provide digital library access the SLMSs made themselves and their assistants available to learners; demonstrated mental and resource flexibility when they encountered obstacles; and, implemented creative funding strategies. To teach digital library use they used the research process to help students bridge knowledge learned in various contexts; provided training; remained abreast of digital library innovations; and, offered suggestions to product developers. To maintain engagement with digital libraries they used proven teaching techniques that build on strong instructional design principles. Finally, they relied on collaborative relationships when integrating digital libraries. They increased collaboration by building trust among colleagues; extending their reach beyond the SLMC in person and virtually, diversifying their role within the school, and gathering curriculum information to incorporate information literacy skills into lessons. Key implications: encourage SLMS-teacher collaboration, build a knowledge management system that captures expertise and supports SLMS communication, reconsider blocking social networking tools in schools to bridge the disconnect between students' home and school information-related behaviors

International Academic Symposium of Social Science 2022

This conference proceedings gathers work and research presented at the International Academic Symposium of Social Science 2022 (IASSC2022) held on July 3, 2022, in Kota Bharu, Kelantan, Malaysia. The conference was jointly organized by the Faculty of Information Management of Universiti Teknologi MARA Kelantan Branch, Malaysia; University of Malaya, Malaysia; Universitas Pembangunan Nasional Veteran Jakarta, Indonesia; Universitas Ngudi Waluyo, Indonesia; Camarines Sur Polytechnic Colleges, Philippines; and UCSI University, Malaysia. Featuring experienced keynote speakers from Malaysia, Australia, and England, this proceeding provides an opportunity for researchers, postgraduate students, and industry practitioners to gain knowledge and understanding of advanced topics concerning digital transformations in the perspective of the social sciences and information systems, focusing on issues, challenges, impacts, and theoretical foundations. This conference proceedings will assist in shaping the future of the academy and industry by compiling state-of-the-art works and future trends in the digital transformation of the social sciences and the field of information systems. It is also considered an interactive platform that enables academicians, practitioners and students from various institutions and industries to collaborate

E-Quality: An Analysis of Digital Equity Discourse and Co-Production in the Era of COVID-19

The digital divide refers to the social stratification due to an unequal ability to access, adapt, and create knowledge via information and communication technologies (Andreasson, 2015). Digitally disadvantaged individuals have inadequate access to services and resources, exacerbating existing vulnerabilities. The COVID-19 pandemic instigated a new model of digital equity policymaking that leverages co-production between numerous actors. As citizens faced new financial and community constraints and governments reached administrative capacities, both the digital divide and the policymaking process evolved. This inductive study explores how digital equity policymaking shifted to a co-production model (Ostrom, 1996) amid the pandemic. Using a sequential mixed-methods approach, this research considers the interconnections of digital equity, co-production, and crisis policymaking. Digital divide discourse was first examined through a large-scale text analysis of verified tweets. Methods of investigation include natural language processing techniques, regression modeling, and unsupervised machine learning topic modeling. Descriptive and inferential analyses demonstrate a statistically significant increase in policy discourse as well as a diversification of topics, though suggest a disconnect between outputs and on-the-ground needs. Next, semi-structured interviews were conducted with City of Boston policymakers, and the resulting data was open-coded and axially coded to reveal insights into the design and implementation of co-productive solutions. Additionally, interviews detail what conditions contribute to successful outcomes while working with limited time, knowledge, and resources. Analyses reveal that co-productive behavior is critical to coping with the effects of the pandemic and highlight the influential role of community-based organizations. Furthermore, the study provides contextual information on co-production prerequisites that were previously understood, and sheds light on interpersonal conditions that Ostrom does not address. This dissertation contributes to the developing body of scholarly literature on the digital divide in the era of COVID-19. This case study also advances theoretical knowledge, offers methodological innovations, and provides concrete policy recommendations to promote more egalitarian digital use