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With the global market for advanced technology-driven customer service set to soar, understanding the complicated relationship between advanced technology and customer purchase behaviour is paramount. While prior research has touched upon the impact of technology on purchase processes in some aspects, this study investigates the specific features of advanced technology that shape customer purchase intention in greater depth. By investigating when and under what conditions customers choose advanced technology-based purchases, this research sheds light on the evolving landscape of consumer decision-making and it seeks to quantify the transformative power of advanced technology in driving customer purchase intentions.

The Metaverse, an emergent Web 3.0 platform, offers users immersive virtual reality experiences. This study employs a case study approach to explore the concept of sustainability within the Metaverse. It examines the environmental, social, and economic implications of virtual interactions and the role of sustainable technologies in shaping user behavior and virtual economies. Through selected case studies, the research provides insights into the potential and challenges of integrating sustainable practices in the Metaverse, with implications for stakeholders ranging from policymakers to end-users.

Introduction: The importance of green economy policies for sustainable development is widely recognized, yet there is a notable gap in literature regarding their application in regions like Karabakh, Azerbaijan. This study addresses this gap by exploring the feasibility of transferring Swiss green economy policies to Karabakh, considering its socio-economic context and aspirations.

Purpose: This study assesses the feasibility and efficacy of applying Switzerland’s green economy policies to Karabakh. By evaluating Switzerland’s innovation potential and Azerbaijan’s renewable energy landscape, it aims to determine the compatibility and potential benefits of implementing Swiss policies in Karabakh.

Methodology: Utilizing a multifaceted approach, the study first analyzes Switzerland’s innovation potential using data from the Global Innovation Index. It then employs a mathematical model to assess the shares of renewable energy sources in Karabakh’s energy supply from 2020 to 2022, providing insights into its renewable energy landscape and alignment with Swiss policies.

Findings: The study uncovers substantial potential for renewable energy growth in Karabakh, notably in wind and solar power. Hydropower maintains its reliability in energy supply, while wind and solar sources gain prominence. Insights from Switzerland’s Innovation Index highlight the relevance of Swiss green economy policies for Karabakh’s context.

Practical implications: Emulating Switzerland’s green economy model can drive sustainable development in Karabakh. Collaboration among Azerbaijan, Switzerland, and the private sector is pivotal for setting global sustainable development goals and enacting policy reforms. Switzerland’s dedication to a circular economy provides a compelling framework for revitalizing the Karabakh region.

Introduction: With a rapid increase in the application of artificial intelligence and machine learning, new Artificial Intelligence (AI) technologies are now playing a vital role in evolving green human resource management practices in the sustainable development of organizations. A thorough analysis of the part of AI technologies in Green Human Resource Management (GHRM) is still an ongoing process.

Purpose: This chapter/study aims to provide an overview of the changing paradigm of human resource management practices into Green Human Resource Management Practices and the role of Artificial Intelligence interventions in various aspects of talent management, talent acquisition, and talent retention.

Design/methodology/approach: This study is based on the systemic review of 37 research studies and reports on human resource management practices, green human resource management, artificial intelligence, and talent management strategies.

Findings: The findings below show a change in human resource management practices encouraging new technologies, software solutions, and artificial intelligence. Green management practices are overtaking the traditional mindsets and work environment. This transformation has synergized the adoption of artificial intelligence and G-HRM practices, encouraging innovative and positive work behaviors.

Originality/value: The originality of this study lies in fulfilling the existing gap in the studies of the role of artificial intelligence and its effects on green human resource management. Its value counts in showing the aspects of innovation in HRM with sustainability and advanced technology.

This study aims to explore the ethical challenges of managing the weight of psychiatric patients in the least restrictive manner in secure mental health settings and whether these could be considered as a source of moral distress for health practitioners, which may be linked to staff burnout and ultimately lead to suboptimal patient care.

A qualitative semi-structured interview study design was used to explore the understanding, views and experiences of six staff members working on two medium-secure wards in a UK mental health hospital using an opportunity sampling technique and Interpretative Phenomenological Analysis.

Analysis of semi-structured interviews revealed a multitude of moral events that evoked feelings of frustration, powerlessness and anxiety related to the management of obesity in the least restrictive way, which is indicative of moral distress.

Due to the small sample size and the qualitative nature of the research, the findings of this study are of explorative in nature. Further quantitative research would be required to establish a causative link between the ethical challenges associated with obesity management and staff’s moral distress.

Addressing the health-care professionals’ knowledge deficit on how to achieve the right balance in their duty of care through inclusion of bioethics into professional discussions and training could improve staff’s well-being and the organisation’s ethical climate.

To the best of the authors’ knowledge, this is the first qualitative work exploring the role of least restrictive practice in the challenges associated with health promotion within secure psychiatric settings, and the effect these challenges have on mental health staff.

Amid the increasing water risks faced by firms, external investors are becoming more interested in corporate water disclosure and research on its drivers has become prominent. This paper aims to investigate the impact of water resource tax (WRT) on water disclosure and other related drivers.

This study uses the WRT policy as a quasi-natural experiment and applies the difference-in-differences method.

The results indicate that WRT policy significantly stimulates water disclosure. Improving green innovation and strengthening internal control are potential channels through which WRT works. Moreover, WRT’s effect is more pronounced in firms that face high institutional pressures and have better internal resource support.

The findings suggest that water-sensitive firms should disclose water information to acquire resources from external stakeholders to support their green transition. It also provides implications for governments to incorporate other external forces in shaping the direction and intensity of WRT and consider the resource constraints of small and private firms in green transformation.

This study is of assistance in promoting water environmental protection in areas experiencing water stress and provides an opportunity for external stakeholders (external investors, nongovernmental organizations, governments, consumers, suppliers, communities and media) to advocate the water disclosure of firms with high water risks.

The attempt is novel in the context of considering the water regulation risks and the demands of external stakeholders. It provides new insights into the factors influencing water disclosure from the perspective of political stakeholders.

The purpose of this paper is to review cases of artificial reefs built through additive manufacturing (AM) technologies and analyse their ecological goals, fabrication process, materials, structural design features and implementation location to determine predominant parameters, environmental impacts, advantages, and limitations.

The review analysed 16 cases of artificial reefs from both temperate and tropical regions. These were categorised based on the AM process used, the mortar material used (crucial for biological applications), the structural design features and the location of implementation. These parameters are assessed to determine how effectively the designs meet the stipulated ecological goals, how AM technologies demonstrate their potential in comparison to conventional methods and the preference locations of these implementations.

The overview revealed that the dominant artificial reef implementation occurs in the Mediterranean and Atlantic Seas, both accounting for 24%. The remaining cases were in the Australian Sea (20%), the South Asia Sea (12%), the Persian Gulf and the Pacific Ocean, both with 8%, and the Indian Sea with 4% of all the cases studied. It was concluded that fused filament fabrication, binder jetting and material extrusion represent the main AM processes used to build artificial reefs. Cementitious materials, ceramics, polymers and geopolymer formulations were used, incorporating aggregates from mineral residues, biological wastes and pozzolan materials, to reduce environmental impacts, promote the circular economy and be more beneficial for marine ecosystems. The evaluation ranking assessed how well their design and materials align with their ecological goals, demonstrating that five cases were ranked with high effectiveness, ten projects with moderate effectiveness and one case with low effectiveness.

AM represents an innovative method for marine restoration and management. It offers a rapid prototyping technique for design validation and enables the creation of highly complex shapes for habitat diversification while incorporating a diverse range of materials to benefit environmental and marine species’ habitats.

Performance feedback can be constructed using firms’ own (historical) performance, or the performance of peers (social). Those two types of performance feedback can be consistent (both positive, both negative) or inconsistent (one positive, the other negative). The research on the impact of consistent versus inconsistent feedback has been inconclusive, suggesting that inconsistent feedback might lead to more intense or less intense responses, or no response. In this paper, we theorize and test how firms respond to (in)consistent performance feedback.

We test our hypotheses on a longitudinal sample of 2,819 private, high-growth firms in the US with 6,688 observations between the years 2007 and 2016. Our dataset comprises 25 different industries. We use topic modeling on textual data from firms’ web pages to capture portfolio expansion.

We find that consistent negative performance feedback strengthens portfolio expansion, but consistent positive feedback does not influence portfolio expansion. We also find that inconsistent performance feedback weakens portfolio expansion, but only with negative historical feedback and positive social feedback.

We contribute to the Behavioral Theory of the Firm by improving our understanding of mechanisms of feedback configurations. Specifically, we elaborate on the role of (in)consistent social feedback when firms respond to historical performance feedback. We also contribute to the theory by better understanding private firms’ responses to performance feedback.