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The Metaverse and Internet of Things (IoT) have emerged like a tidal wave, and it is creating a transformative impact on society and industry. The metaverse and IoT changed the way companies were operating earlier and customers were living their lives. On the other hand, Metaverse enriches the customer experience by offering a matchless virtual experience using augmented reality and state-of-the-art technology. The metaverse and the IoT can be used in various sectors such as manufacturing, transportation, retailing, health care, banking, and automobiles to make cities smart. Metaverse and IoT provide real-time data, reduces operational cost and errors, improves efficiency, and helps industries to make intelligent decisions. Although the IoT and Metaverse offer significant benefits, it is not free from limitations. Ethical dilemmas, privacy issues, data breaches, and difficulty in extracting relevant data impose serious challenges that need to be addressed. There is an urgent and dire need to create a trade-off between the interest of the business and the privacy and security of customers. This chapter aims to discover the potential of Metaverse and IoT in various sectors (e.g., healthcare, transportation, and electronics). This study will bring significant insights to researchers and policymakers by exploring the likely benefits of IoT and metaverse in diverse sectors to develop smart cities. This chapter will also explain the challenges of metaverse and IoT, which can be addressed by integrating data analytics tools optimally and efficiently.

Large regional differences in Slovakia existed already at the beginning of the 20th century, which resulted in emigration mainly from the east of the territory. The subsequent popularity of the communist regime is explained by a successful reduction in the regional disparities and increased well-being of the inhabitants. The transformation since 1990 ignored important regional differences among the Czech and Slovak regions and this led to the disintegration of Czechoslovakia. Governance structures in Slovakia remained centralized. This harmed the welfare – weaker economic performance of the regions and worse results of the labor market. The underutilization of the economic potential of regions has consequently slowed down the catching up at the national level. Slovakia thus so far missed the opportunity to use transfers from the European Union more productively. In recent years, however, there has been some progress in changing the unsatisfactory model of public governance to a more modern one, with much greater decision-making and financial autonomy for the regions.

The aim of this chapter is to combine a number of critical approaches to economic growth as the dominant policy framework and measure of performance in Slovakia. The dominant policy discourse in Slovakia continues to perceive economic growth, GDP per capita as well as the other economic indicators as the primary measures not only of economic performance but also of public policy and standards of living. Recognizing that as important as they are, they remain measures and means rather than outcomes and goals, it will explore more human welfare-centered and environmentally considerate measures in the context of Slovakia, arguing that both scholars and policymakers need to go beyond the national level of analysis and traditional quantitative methodologies. From a human and welfare perspective, the chapter will look at the Human Development Index (HDI) in Slovakia as an example of an indicator to study the quality of life. It will also problematize more broadly whether focus on growth in the context of climate change-related challenges and the EU Green Deal is still a viable and the most appropriate measure to follow, and to what extent sustainability has been sufficiently integrated and used in Slovakia, in this regard. The chapter will also offer concrete areas where insights from the critical perspectives might be most relevant in the context of Slovakia.

This paper aims to identify the critical success factors in improving information security in Ghanaian firms.

Through an exploratory study of both public and private Ghanaian organizations. The study relied on a research model based on the technology–organization–environment (TOE) framework and a survey instrument to collect data from 525 employees. The data was analyzed using partial least squares-structural equation modeling (PLS-SEM).

The findings confirm the role of the technological, organizational and environmental contexts as significant determinants in the implementation of information security in Ghanaian organizations. Results from PLS-SEM analysis demonstrated a positive correlation between the technology component of information security initiative, organization’s internal efforts toward its acceptance and a successful implementation of information security in Ghanaian firms. Top management support and fund allocation among others will result in positive information security initiatives and positive attitudes toward securing the organization’s information assets.

The authors discussed the implications of the authors’ findings for research, practice and policy.

The results of this study will be useful for both governmental and non-governmental organizations in terms of best practices for increasing information security. Results from this study will aid organizations in developing countries to better understand their information security needs and identify the necessary procedures to address them.

This study contributes to filling the knowledge gap in organizational information security research and the TOE framework. Despite the TOE framework being one of the most influential theories in contemporary research of information system domains in an organizational context, there is not enough research linking the domains of information security and the TOE model.

We aim to compare multifunctionality, ecosystem services and just transition as overall conceptual approaches to understand agri-food systems.

This is a theory-motivated literature study.

This paper argues that the concepts of multifunctionality and ecosystem services are unsuitable for considering the systemic complexities of today’s food system in order to tackle its grave environmental and social problems. Furthermore, these two concepts tend to neglect the negative externalities of food systems and overemphasize the positive ones. The notion of just transition puts justice and sustainability at the center of agri-food studies and defines targeted systemic interventions in food systems.

While the approach of just transition is only starting to be widely applied to the agriculture–food nexus, we argue that it is better suited to re-orient diets, production processes, the value chain and labor conditions in a more sustainable direction. The just transition approach is also useful in drafting systemic policy innovations.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0740

Purpose: The economies of the European Union (EU) countries are significantly affected by new developments in technology and digital transformations, requiring tailored policies to bridge gaps and boost economic development. This chapter analyses the impact of the digital economy in EU countries according to the level of economic growth.

Need for study: Assessing the interaction between economic growth and digitalisation, focussing on digital transformations, digital skills, and economic growth, this chapter designs advanced theoretical and empirical research by building on certain important research issues.

Methodology: The research framework relies on assessing the correlation between the Digital Economy and Society Index (DESI) and economic growth. Based on Eurostat data, this research employs panel econometric models to uncover causal relationships between digital policies and economic growth, incorporating macroeconomic variables and country-specific digital policies. The models are designed through the panel-corrected standard errors (PCSEs) method and robust regression with Huber iteration (RRHI) to ensure unbiased and robust estimates.

Findings: Main findings include that digitalisation coordinates and digital skills are essential for improving economic development in the EU, with benefits for economic growth. These advances affect balance and overall performance and can support policymakers in strengthening their understanding of this scientific field.

Practical implications: The degree of development and the underlying technology underlying determine how the digital economy affects economic growth. Decision-makers can utilise these results to improve digital policies within the EU, favourably impacting the economic development of EU member states.

The purpose of this paper is to propose and validate a theoretical model to investigate the relationship between self-organisation, information integration, adaptability and supply chain agility in humanitarian organisations.

A theoretical model was developed from extant studies and assessed through a structured questionnaire survey of 86 humanitarian organisations operating in South Sudan. The data were analysed using partial least square structural equation modelling.

The study found that self-organisation has a discernible positive influence on supply chain agility not only directly but also indirectly through adaptability. Further, information integration does not significantly influence supply chain agility directly but is fully mediated by adaptability. Together, the antecedent variables account for 53.9% variance in supply chain agility.

This study contributes to providing an empirical understanding of a humanitarian supply chain as a complex adaptive system and hence the need to incorporate self-organising and adaptive dimensions in supply chain management practice. Furthermore, it confirms the centrality of the complex adaptive system feature of adaptability when building supply chain agility through self-organisation and information integration.

The findings provide a firm ground for managerial decisions on investment in self-organisation and information integration dimensions so as to enhance adaptability and improve supply chain agility in humanitarian organisations.

This study is distinctive in the sense that it uses the complex adaptive system variables to empirically validate the relationships between self-organisation, information integration, adaptability and supply chain agility in humanitarian organisations in the world’s youngest developing economy with a long history of conflict and humanitarian intervention. The mediating influence of adaptability examined in this study is also novel.

One of the more plausible methods of establishing an off-world human society is to transport a small number of adults alongside a large supply of frozen embryos. This would minimize the costs of transportation and protect genomic diversity across future generations. However, there are various ethical issues with attempting off-world pregnancies, in terms of unknown risks to pregnant people and fetuses, and potential discrimination concerns if the adults selected for the mission are required to be willing and able to gestate this genetically diverse population of embryos. An alternative would be the development and use of artificial womb technology (ectogenesis) to perform this latter function. Benefits might include freeing all crewmembers to devote all their energies to establishing the off-world facility without pregnancy-related illness affecting health and productivity, and providing a safer environment for fetal development, for example, providing additional radiation shielding around the artificial wombs. This chapter will explore some of the ethical issues surrounding ectogenesis and its space applications.

This study aims to assess the feasibility and effectiveness of incorporating predictive maintenance (PdM) into existing practices of spare part inventory management and pinpoint the barriers and identify economic values for such integration within the supply chain (SC).

A two-staged embedded multiple case study with multi-method data collection and a combined discrete/continuous simulation were conducted to diagnose obstacles and recommend a potential solution.

Several major organisational, infrastructure and cultural obstacles were revealed, and an optimum scenario for the integration of spare part inventory management with PdM was recommended.

The proposed solution can significantly decrease the inventory and SC costs as well as machinery downtimes through minimising unplanned maintenance and addressing shortage of spare parts.

This is the first study with the best of our knowledge that offers further insights for practitioners in the Industry 4.0 (I4.0) era looking into embarking on digital integration of PdM and spare part inventory management as an efficient and resilient SC practice for the automotive sector by providing empirical evidence.

Plant-based meat analogues (PBMAs) hold significant promise as a sustainable solution to meet future protein demands, replicating the taste and nutritional value of meat. However, the present reliance on extrusion technology in PBMA production limits the exploration of more accessible and affordable methods. The current investigation aims to meet the market demand for a scalable and cost-effective processing approach by exploring saturated steam-assisted technology that could broaden the production volume of PBMAs, thereby supplementing protein security and planet sustainability.

A one-factor-at-a-time (OFAT) approach is employed to evaluate the effect of ingredients and process conditions on the governing quality attributes (texture, colour and sensory).

Among the ingredients, monosodium glutamate (MSG) and nutritional yeast (NY) significantly enhanced the hardness and chewiness of saturated steam-assisted plant-based meat analogues (ssPBMAs) followed by potato protein isolate (PPI), defatted soy flour (DSF) and salt. The addition of PPI and DSF led to a decrease in lightness (L* value) and an increase in the browning index (BI). Sensory evaluations revealed that higher concentrations of DSF imparted a noticeable beany flavour (>20%), whereas PPI (30%) improved the overall sensory appeal. Increased levels of NY (10%) and MSG (5%) enhanced the umami flavour, enhancing consumer preference. Higher thermal exposure time (TTi) (45 min) and temperature (TTe) (120 °C) during processing resulted in softer products with reduced L* values. These findings establish a foundation for selecting and optimizing the ingredients and processing parameters in ssPBMA production.

The novelty of the current study includes process behaviour of selected ingredients such as PPI, NY, MSG, DSF, salt and adopted process conditions, namely, dough processing time (DPT), protein network development time (PNDT), TTi and TTe on the quality of ssPBMAs.