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Smart scenarios related to industries or cities, characterized by intensive technology transfer and use of innovative and disruptive technologies, have been in the spotlight either on academic or organizational discussions, especially those with a technocentric focus. Among these technologies, artificial intelligence (AI) emerges as the most challenging one due to its complexity. Therefore, this chapter aims to address AI, in particular the future of the labor market, exploring the challenges regarding the skills required in the context of AI technology, addressing its uses, challenges, and benefits. In order to achieve this goal, a systematic review was conducted on the extant literature using the methodology Methodi Ordinatio. The results show that the current literature is gradually changing from a more critical and negative view of AI to a more optimistic one, with more positive approaches and expectations regarding its benefits. As practical implications, the findings can be used as a guide for governments to develop strategies aiming to deal with upcoming challenges, especially regarding future jobs and employability.

The purpose of this paper is to introduce the concept of socially responsible human resource management (SRHRM) and examine the reflection of SRHRM on sustainable development (SD) in Egyptian companies.

The study data was collected using a quantitative method to examine and test the relationship between the two variables. An empirical study was conducted between 2022 and 2023 on 150 samples of male and female employees from 18 companies located in Egypt working in castings and car batteries.

The study found that, in general, SRHRM has a significant impact on organizational sustainability. This contribution is also beneficial for general HRM and corporate social responsibility (CSR) literature as it stresses the importance of its relations to SD. By critically analyzing contemporary SRHRM literature, this study further demonstrates how studies with utilitarian approaches have dominated earlier research. By recognizing the necessity for process-oriented studies and the significance of critical scholarship within the field of SRHRM and its connections to the SD, the researcher thereby creates a research agenda for future studies.

The findings only apply to the sample that has participated in this study and to the Egyptian companies. A longitudinal quantitative evaluation of the SRHRM approaches and dimensions and their impact on the SD strategies of Egyptian companies would be recommended in terms of further research study, highlighting the role of SRHRM and its impact on achieving companies' CSR strategies.

The study's findings are helpful for firms looking to implement SR-HRM to enhance some employees' performance and promote organisational sustainability. In Egypt, there is a dire need for responsible leadership in the public and private sectors, which is crucial in the market and industry sectors. In addition to updating all policies, urge the younger generation to participate in them. For example, new hires to the company must demonstrate that they have engaged in volunteer work as part of their social obligation to the community, and this is required for recruitment.

Furthermore, refreshing all the policy encourage the young generation working or before working to take part in these policy, such as newcomers to the companies have to show that they have conducted some social responsibility towards their community as voluntary work. A study conducted by Cristina del-Castillo et al. (2022) confirmed that regarding the performance of different factors, the results show that the organizations under study are investing too much effort in improving CSR factors that are less relevant to achieving positive legitimacy assessments. On the one hand, resources destined to improve policies related to health, security and social benefits and those regarding the improvement of the relationship paths between managers and employees are excessive considering the relevance that they represent compared to the rest of the CSR policies. According to Hazzi and Maldaon (2023), stakeholders (including the general public and policymakers) might make an informed choice about how much organizations with CSR could safeguard their well-being if they had access to transparent CSR information. Talking about the sustainability behaviour of SRHRM as crucial for embedding sustainability in the business, a study by Abutaleb et al. (2021) evidence that subjective norms and attitudes, followed by perceived behavioural control and personal norms had the greatest influence on intentions towards behavioural HR. Attitudes towards sustainability practices were significantly influenced by economic advantages and sustainability. A good model fit was demonstrated by measurement and structural models (Abutaleb et al., 2021).

This paper is unique in that it participates in presenting the concept of the social responsibility of HRM as an intervention and approach for SD. It also participates in presenting unique findings related to Egyptian companies. There is a scarcity of literature related to research and studies on SRHRM in Egypt.

A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

This paper aims to review bright sides of corporate social responsibility (CSR) and touches on its dark sides, providing researchers and CSR-driven lay readers with a starting point for further contributions and discussions. The paper also outlines a conceptual perspective about CSR scale development relevant to the uncertain times Syrian Arab Republic is still facing.

With a top ten-journal set indexed in social science citation index (SSCI), the current paper reviewed dozens CSR-references. In different search settings, the paper also included other authoritative references relevant.

CSR, whose bright side is still in the lead, is a significant working philosophy that can keep stakeholders posted on the extent to which organizations can sustain businesses and protect society's welfare at interconnected levels (economic, social, ethical and environmental, among others).

The review at hand has only covered the tip of the CSR iceberg.

Investing in CSR transparently could lead to a promising sustainability.

With transparent CSR information, stakeholders (including the public and policymakers) could make an informed decision regarding the extent to which organizations with CSR could protect their well-being.

The current review makes an authoritative reference point new in the CSR literature. In addition, it bridges a research gap not yet studied – by bringing a roadmap outlining a potential CSR-scale development that could cope with the postwar reconstruction phase (an example of which being Syrian Arab Republic).

How do radical technological fields become naturalized and taken for granted? This is a fundamental question given both the positive and negative hype surrounding the emergence of many new technologies. In this chapter, we study the emergence of the US nanotechnology field, focusing on uncovering the mechanisms by which leaders of the National Nanotechnology Initiative managed hype and its concomitant legitimacy challenges which threatened the commercial viability of nanotechnology. Drawing on the cultural entrepreneurship literature at the interface of strategy and organization theory, we argue that the construction of a naturalizing frame – a frame that focuses attention and practice on mundane, “rationalized” activity – is key to legitimating a novel and uncertain technological field. Leveraging the insights from our case study, we further develop a staged process model of how a naturalizing frame may be constructed, thereby paving the way for a decrease in hype and the institutionalization of new technologies.

Manufacturing small and medium-sized enterprises (SMEs) have already noticed the tangible benefits offered by artificial intelligence (AI). Several approaches have been proposed with a view to support them in the processes entailed in this innovation path. These include multisided platforms created to enable the connection between SMEs and AI developers, making it easier for them to network each other. While such platforms are complex, they facilitate simultaneous interaction with several stakeholders and reaching out to new potential users (both SMEs and AI developers), through a collaboration with supporting ecosystems such as digital innovation hubs (DIHs).

Mixed methods were used. The literature review was performed to identify the existing approaches within and outside the manufacturing domain. Computer-assisted telephonic (in-depth) interviewing , was conducted to include perspectives of AI platform stakeholders and collect primary data from various European countries.

Several challenges and barriers for AI platform stakeholders were identified alongside the corresponding best practices and guidelines on how to address them.

An effective approach was proposed to provide support to the industrial platform managers in this field, by developing guidelines and best practices on how a platform should build its services to support the ecosystem.

This study aims to investigate the engagement gap between Metaverse and in-person travel, the influence of Metaverse tourism on tourists and the industry and the challenges and responses associated with Metaverse technology. The study presents practical cases and highlights the implications of this research for practice, society and future research.

This study uses a literature review to explore concerns about Metaverse technology in tourism. It analyzes the difference between in-person travel and Metaverse tourism, the impact on tourists and the industry and challenges and responses to Metaverse. The review shows a rising trend in Metaverse tourism research.

These findings suggest differences between Metaverse tourism and in-person travel. By providing personalized travel options, social interaction, immersive experiences and soliciting visitor feedback, it is possible to enhance the tourist experience. Additionally, the study highlights the opportunities and challenges that Metaverse tourism presents to the tourism industry. The study provides practical cases in the tourism industry and implications for practice, society and future research.

The study’s implications for Metaverse tourism are practical, societal and future research-related. Metaverse technology can enhance the tourist experience through personalized options, social interaction, immersive experiences and feedback. This inclusivity can promote social equity and cultural exchange. Further research is needed to explore the social effects of Metaverse tourism and its long-term impacts on local communities, economies and the environment.

This study contributes by exploring the impact of Metaverse tourism, supporting academic research and practice. It fills a knowledge gap by analyzing the application of Metaverse technology in tourism, providing insights for researchers and practitioners. It offers practical guidance by identifying opportunities and challenges in Metaverse tourism, fostering industry innovation. Additionally, it informs policymakers about the impact of Metaverse tourism on development.

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.