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Facing the dilemma between collaboration and privacy is a continual challenge for users. In this setting, the purpose of this paper is to discuss issues of a highly flexible role management integrated in a privacy‐enhanced collaborative environment (PECE).

The general framework was provided by former findings of several research projects, i.e. collaborative platform BluES and projects of privacy and identity management PRIME and PrimeLife. The role management concept bases on a literature survey and has been proofed by integration into the privacy‐enhanced environment BluES'n.

A three‐dimensional role management concept was developed describing users' rights, tasks, and positions. A discussion on how to fulfill privacy requirements yielded that a semi‐automated decision making regarding the use of roles with different identities is reasonable to support users' control of their privacy when interacting with others.

The concept of flexible role management complies with the requirements of PECEs. However, a fully automated approach of rule‐based information disclosure is not possible as such decisions depend on personal and situational aspects.

Using the example of a flexible role management concept, research described in this paper demonstrates that privacy and interaction concerns can be balanced and should be considered in application design processes.

Concepts of PECEs allow respecting privacy‐related attitudes and could improve the quality of service consumption.

The paper demonstrates contrasts between collaboration and privacy attitudes and presents solutions for the integration of role management to overcome this initially supposed contradiction.

This paper aims to contribute to the ongoing discourse about the nature of privacy and its role in ubiquitous environments and provide insights for future research.

The paper analyses the privacy implications of particular characteristics of ubiquitous applications and discusses the fundamental principles and information practices used in digital environments for protecting individuals' private data.

A significant trend towards shifting privacy protection responsibility from government to the individuals is identified. Also, specific directions for future research are provided with a focus on interdisciplinary research.

This paper identifies key research issues and provides directions for future research.

This study contributes by identifying major challenges that should be addressed, so that a set of “fair information principles” can be applied in the context of ubiquitous environments. It also discusses the limitations of these principles and provides recommendations for future research.

The COVID-19 pandemic has brought unprecedented disruptions to global supply chains, compelling organizations to reevaluate their strategies for resilience and adaptability. In response, smart technologies (ST) have emerged as integral tools in post-pandemic supply chain management (SCM). This study aims to conduct an exploratory systematic literature review to comprehensively examine the evolving landscape of smart technology adoption in the context of SCM post-pandemic.

A systematic literature review has been conducted to examine the potential research contribution or directions in the field of ST and SCM. In total, 240 articles were shortlisted from the SCOPUS database in the chosen field of research. Bibliometric analysis was conducted by using VOSviewer to investigate the research trends in the area of SCM.

The review identifies key themes and trends, including supply chain resilience, digital transformation, enhanced visibility, predictive analytics and sustainability considerations. It explores the role of ST in fostering agility, transparency and risk mitigation within supply chains. Furthermore, eight clusters were identified to generate several thematic topics of ST in SCM. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. A total of 240 publications, including journal articles, have been found in the literature. A total of 37 words, which were grouped in 8 clusters, have been identified in the data analysis.

By synthesizing the current state of literature, this study provides valuable insights for practitioners, policymakers and researchers seeking to navigate the complexities of post-pandemic SCM in an increasingly digitized and interconnected world. The findings highlight the transformative potential of ST and offer a roadmap for further exploration in this critical domain.

In this paper, the development path of the field of ST in SCM during the pandemic and the research constructs are presented and potential research directions are based on the bibliometric method.

The purpose of this study is to think ahead into the year 2035 and reflect on the ethical implications of brain-to-brain linking.

Philosophical argument.

It is quite likely that the direction of technological research today is heading toward a closer integration of mind and machine in 2035. What is interesting is that the integration also makes mind-mind or brain-brain integration possible too. There is nothing in principle that would prevent hooking up more than one brain to a machine, or connecting two or more brains together to harness their processing power to tackle a very complicated task. If that happens, the whole notion of what it is to be an individual and a self will have to be rethought. I have offered a way in which that can be done: Instead of viewing the self as being contained in a closed space traditionally defined by the skin, the self can expand outside of the skin and merge temporarily with other selves too. This also has profound implications on the notion of privacy, especially on how it is conceptualized and justified.

This research is limited to theoretical argumentation only. It relies on the current empirical and scientific investigations that are going on at the moment and provide ethical reflections on them.

We need to anticipate technological innovations to be more proactive in deliberating and formulating policy and ethical guidelines; otherwise, ethicists will just muse after the fact, implying that there is nothing further to be done.

Brain-to-brain linking has tremendous social implications, so is the ethical reflection on the issue.

Argument purporting to show the specific content in ethical guidelines on brain-to-brain interlinking based on the metaphysics of the self that is directly implicated by the technology has not been done before, according to the author’s best knowledge.

The purpose of this paper is to determine the effectiveness of using fully homomorphic encryption (FHE) to preserve the privacy of biometric data in an authentication system. Biometrics offers higher accuracy for personal recognition than traditional methods because of its properties. Biometric data are permanently linked with an individual and cannot be revoked or cancelled, especially when biometric data are compromised, leading to privacy issues.

By reviewing current approaches, FHE is considered as a promising solution for the privacy issue because of its ability to perform computations in the encrypted domain. The authors studied the effectiveness of FHE in biometric authentication systems. In doing so, the authors undertake the study by implementing a protocol for biometric authentication system using iris.

The security analysis of the implementation scheme demonstrates the effectiveness of FHE to protect the privacy of biometric data, as unlimited operations can be performed in the encrypted domain, and the FHE secret key is not shared with any other party during the authentication protocol.

The use of malicious model in the design of the authentication protocol to improve the privacy, packing methods and use of low-level programming language to enhance performance of the system needs to be further investigated.

The main contributions of this paper are the implementation of a privacy-preserving iris biometric authentication protocol adapted to lattice-based FHE and a sound security analysis of authentication and privacy.

The purpose of this paper is to explore to what extent the legal environment influences a user’s choice to employ privacy-enhancing technologies (PETs). Drawing upon existing theoretical frames specific to arbitrariness and uncertainty, this research examines whether interest in PETs is influenced by the legal environment of a country.

Using data from Google Trends, the International Property Rights Index, Freedom House and the Organization for Economic Cooperation and Development, the research analyzes interest in Tor, VPN technology and pretty good privacy (PGP) in 153 countries between 2012 and 2016.

Findings suggest both countries with both higher and lower arbitrariness and uncertainty of law are associated with an increased interest in Tor and PGP. However, interest in VPN technology does not appear influenced by the legal environment and, instead, is influenced by freedom within the press.

The dual use nature of Tor and PGP is influenced by law enforcement and judiciary effectiveness and transparency and arbitrariness contributing to the public’s interest in decentralized technological protections.

Law enforcement should continue to police via the technologies rather than shutting them down to protect the identities of those needing to use these technologies for legitimate purposes. Only by embracing the technologies, as opposed to seeing them as hurdles to be banned, may law enforcement agencies remain vigilant to the threats posted by nefarious actors.

In this study, the authors introduce a more robust measure of interest in PETs, and do so with a larger, more substantive sample. By situating this interest within the context of policing, the authors can document the dual use nature of the technology, which can be useful in guiding future research, specifically in the area of policy development and officer training.

This paper aims to present results of a study that focused on the question of how computer and data experts think about Internet and social media surveillance after Edward Snowden’s revelations about the existence of mass-surveillance systems of the Internet such as Prism, XKeyscore and Tempora. Computer and data experts’ views are of particular relevance because they are confronted day by day with questions about the processing of personal data, privacy and data protection.

The authors conducted two focus groups with a total of ten experts based in London. As London is considered by some as the surveillance capital of the world, and has a thriving Internet industry, it provided a well-suited context.

The focus group discussions featured three topics that are of crucial importance for understanding Internet and social media surveillance: the political economy surveillance in general; surveillance in the context of the Snowden revelations; and the question what the best political reactions are to the existence of a surveillance-industrial complex that results in political and economic control of the Internet and social media. The focus groups provided indications that computer and data experts are pre-eminently informed on how Internet surveillance works, are capable of critically assessing its implications for society and have ideas about on what should be done politically.

Studies of privacy and surveillance after Edward Snowden’s revelations have taken on a new dimension: Large-scale covert surveillance is conducted in a collaborative endeavour of secret services, private communications corporations and security companies. It has become evident that a surveillance-industrial Internet surveillance complex exists, in which capitalist communications and security corporations and state institutions collaborate.

This paper aims to propose a tool to help policy makers understand the dynamic relationships between security and privacy on a strategic (macro) level.

The methodology is ported from the discipline of Macroeconomics, and applied to the information security and privacy domain. The methodology adopted is the so‐called “cross methodology” which claims ownership of the well‐known supply/demand market equilibrium exercise.

Early evaluation reveals that this is a potentially very effective tool in understanding societal behaviour and position towards information security and privacy and therefore makes this a suitable tool for investigating and exploring scenarios that can assist in policy making.

Up to date, research on the economics of security and privacy has been primarily focusing on a micro level. The main contribution of this paper is a methodology for investigating privacy and security on a macro level. We believe that our approach in undertaking this research is new and looking at the issues and relationships between security and privacy at a macro level, gives a better understanding of the problems at hand and how to resolve them.

The proposed tool may increase the efficiency of policy making and planning as it enables the policy makers on a governmental and strategic level to run scenarios in order to investigate the effect of their decisions (for example, an introduction of a stricter law relating to computer misuse) to the delicate balance of security and privacy.

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.

The paper synthesises information from academic articles, industry reports, case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.

The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.

Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.

This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.

This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.

To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry.