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This chapter examines the ways social media, analytics, and disruptive technologies are combined and leveraged by political campaigns to increase the probability of victory through micro-targeting, voter engagement, and public relations. More specifically, the importance of community detection, social influence, natural language processing and text analytics, machine learning, and predictive analytics is assessed and reviewed in relation to political campaigns. In this context, data processing is examined through the lens of the General Data Protection Regulation (GDPR) effective as of May 25, 2018. It is concluded that while data processing during political campaigns does not violate the GDPR, electoral campaigns engage in surveillance, thereby violating Articles 12 and 19, in respect to private life, and freedom of expression accordingly, as stated in the 1948 Universal Declaration of Human Rights.

This is a troubled age for democracy, but the nature of that trouble and why it is a problem for democracy is an open question, not easy to answer. Widespread wishing for responsible leaders who respect democratic norms and pursue policies to benefit people and protect the vulnerable don’t help much. The issue goes well beyond library contexts, but it is important that those in libraries think through our role in democracy as well. Micro-targeting library-centric problems won’t be effective and don’t address the key issue of this volume. The author can only address the future if we recover an understanding of the present by building up an understanding of actually-existing democracy: (1) the scope must be narrowed to accomplish the task; (2) the characteristics of the retreat from democracy should be established; (3) core working assumptions and values – what libraries are about in this context – must be established; (4) actually-existing democracy should then be characterized; (5) the role of libraries in actually-existing democracy is then explored; (6) the source and character of the threat that is driving the retreat from democracy and cutting away at the core of library assumptions and values is analyzed; (7) the chapter concludes by forming a basis of supporting libraries by unpacking their contribution to building and rebuilding democratic culture: libraries are simultaneously less and more important than is understood.

This study aims to discover the legal borderline between licit online marketing and illicit privacy-intrusive and manipulative marketing, considering in particular consumers’ expectations of privacy.

A doctrinal legal research methodology is applied throughout with reference to the relevant legislative frameworks. In particular, this study analyzes the European Union (EU) data protection law [General Data Protection Regulation (GDPR)] framework (as it is one of the most advanced privacy laws in the world, with strong extra-territorial impact in other countries and consequent risks of high fines), as compared to privacy scholarship on the field and extract a compliance framework for marketers.

The GDPR is a solid compliance framework that can help to distinguish licit marketing from illicit one. It brings clarity through four legal tests: fairness test, lawfulness test, significant effect test and the high-risk test. The performance of these tests can be beneficial to consumers and marketers in particular considering that meeting consumers’ expectation of privacy can enhance their trust. A solution for marketers to respect and leverage consumers’ privacy expectations is twofold: enhancing critical transparency and avoiding the exploitation of individual vulnerabilities.

This study is limited to the European legal framework scenario and to theoretical analysis. Further research is necessary to investigate other legal frameworks and to prove this model in practice, measuring not only the consumers’ expectation of privacy in different contexts but also the practical managerial implications of the four GDPR tests for marketers.

This study originally contextualizes the most recent privacy scholarship on online manipulation within the EU legal framework, proposing an easy and accessible four-step test and twofold solution for marketers. Such a test might be beneficial both for marketers and for consumers’ expectations of privacy.

The 2016 presidential campaign in the United States was marked by widespread interference by Russian agents. The interference was especially prominent in digital media. This indicates the possible need for better regulation. To investigate the problem, I examined the legal and regulatory history of US Federal campaign regulation. While these regulations require various disclosures and disclaimers, and set some spending limits, they do not cover advertising messages. More to the point, the disclosure and disclaimer requirements for digital ads are limited and easily circumvented. Possibly because of this, political advertising in digital media has increased dramatically in recent years. I examine current proposals for improved regulation and make recommendations for changes in Federal regulation and in oversight by nonpartisan groups.

Although big data analytics (BDA) have great benefits for higher education institutions (HEIs), due to lack of sufficient evidence on how BDA investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The purpose of this paper is to propose a big data academic and learning analytics enabled business value model to explain BDA potential benefits and business value which can be obtained by developing such analytics capabilities in HEIs.

The study examined 47 case descriptions from 26 HEIs to investigate the causal association between the BDA current and potential benefits and business value creation path for big data academic and learning analytics success in HEIs.

The pressure of compliance with all legal and regulatory requirements and competition had pushed HEIs hard to adopt BDA tools. However, the study found out that application of risk and security and predictive analytics to higher education fields is still in its infancy. Using this theoretical model, the results provide new insights to higher education administrators on ways to create BDA capabilities for HEIs transformation and suggest an empirical foundation that can lead to more thorough analysis of BDA implementation.

A distinctive theoretical contribution of this study is its conceptualization of understanding business value from BDA in the typical setting of higher education. The study provides HEIs with an all-inclusive understanding of BDA and gives insights on how it helps to transform HEIs. The new perspectives associated with the big data academic and learning analytics enabled business value model will contribute to future research in this area.

The purpose of this study is to contribute an actor-network-theory (ANT) perspective of how algorithms are used and whether this reflects positively on organisational practices and related perceptions of organisation performance, by both customers and employees. Furthermore, the organisation’s view of adopting algorithms to manage their performance is explored.

The current study is a study set in this virtual space, as it seeks to use data available online from different stakeholders of the case organisation. Online “virtual space” studies have become more common over the past few years. Primary and secondary data are shared online, for instance on relevant rating websites for customers (such as TrustPilot) and employees (such as Indeed), which serve as a reflection of the organisational performance and the communication of their values. This type of study has become more prevalent, either as a study undertaken online fully (Hine, 2007) or partially (for instance Baxter et al., 2019), which provides a different perspective to traditionally carried out face-to-face interactions.

The current study has contributed insights from a global case organisation in the logistics sector originating in the Middle East (ME). The case organisation clearly indicates that its algorithm, in line with particular presentations and discussions on online platforms, is focussed on analysing limited factors, which are prediction of accurate delivery timeslot, preferred and precise location for delivery and speed of delivery overall. This reflects an inherent bias of the delivery industry, which the case organisation operates in, and may focus attention on delivering on those objectives, with a detrimental effect on the organisation’s broader organisational mindset. This refers to long-term values and sustainability-related objectives.

Findings will reflect on whether algorithms can be used to align a multi-national organisation to achieve its desired performance and related desirable results. This will be one of the main contributions of the current study, which engages with a multi-national organisation in the logistics sector that is based in the ME region.

The purpose of this study is to examine the primary sources and methods of Web-based messaging during the early stages of the coronavirus pandemic. The authors use ethical lens to develop a conceptual framework to inform and reduce conflicts of Web-based messaging associated with COVID-19.

This paper provides a comprehensive review of three different ethical schools and identifies the cohesive theme of common good across them. Common good leading to a greater good serves as the overarching ethical construct for Web-based messages that focus on society and not the singular individual, business or political ideology.

The findings suggest that the ethical construct of common good focuses on prioritizing the society over the individual and draws upon utilitarian principles focused on consequences, Kantian principles focused on intentions and Aristotelian principles focused on the definition of good. Web-based messaging on COVID-19 originates from diverse public and private sources and ethically can be governed by adherence to achieving the greatest good for society. Pervasive conflicts with COVID-19 messaging can be mitigated by pursuing a more ethical agenda with messages.

This manuscript provides a conceptual framework, based on ethical principles, to serve as a blueprint for Web-based messaging during a pandemic. This work offers an ethical perspective for communication during a pandemic and it is original in conceptualizing the components of Web-based messaging and decomposing them into the different levels where conflicts can occur. This article can serve as a template for Web-based communication pertaining to future pandemics and other events that benefit from prioritizing the impact on society over the impact on the individual.

The purpose of this paper is to provide a conceptual framework to understand the subject of strategy.

The article weaves together the author's thinking, research and experience in strategy consulting.

Strategy is the relationship between means and objectives. It operates at a system level.

Bad strategy is expensive. A better understanding of the difference between strategy and tactics will clarify objectives, shape innovation, allocate resources and enable competitive advantage.

The paper deals with widespread error and confusion about the nature and function of strategy, with significant implications for decision‐making.