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The UAE has set an ambitious target to become one of the most sustainable countries in the world. In addition, the country's infrastructure is playing a pivotal role in terms of electric vehicle (EV) usability with regard to its roads, power generation capacity, availability of charging stations and the drive towards customer adoption. The readiness for EVs in the UAE is assessed in this study as part of its development towards its sustainable target. This research aims to study EV readiness among the UAE car users from a sustainability perspective.

The proposed methodology follows with a comprehensive literature review to identify the various drivers of EV readiness and their contribution to sustainability. A list of hypotheses was developed based on the identified drivers to EV readiness. A questionnaire survey was designed to validate the hypothesis, and data were collected from consumers in the UAE. In total, 140 complete responses were received across different consumers and the results were studied using partial least square based structural equation modeling (PLS-SEM) method.

An initial framework for EV readiness was developed, and analyses of the variables that are driving the relationships was done. The analysis confirmed that quality of service, power quality and infrastructure are positively linked to EV readiness in the UAE. However, the role of blockchain as a moderator to enhance the relationship between power quality, infrastructure and sustainability is not significant, indicating blockchain adoption in the UAE is still nascent in nature. However, its adoption has some potential to save energy.

The research is limited to the UAE region in terms of sample collection and respondents' profile. Further, research on EV readiness seemed to be early at present and therefore this research on EV readiness and its associated variables could set future research directions.

Logistics industry and automotive industries will benefit from the outcomes of the study especially while operating in the UAE. Also, the research recommends EV makers to understand the relationship between quality of service, power quality, infrastructure, EV readiness and sustainability in order to move towards a more sustainable transportation future.

Background: Quality of life is a core concern for cancer patients, which can be negatively affected by illness-related death anxiety; yet understanding of how to appropriately target psycho-oncological interventions remains lacking. We aimed to explore experiential acceptance in cancer patients, and whether acceptance – as an alternative to avoidant coping – was related to and predictive of better quality of life and death anxiety outcomes.

Methods: We used a longitudinal, quantitative design with a follow-up after three months. Seventy-two participants completed a questionnaire-battery measuring illness appraisals, acceptance and non-acceptance coping-styles, quality of life, and death anxiety; 31 participants repeated the battery after three months.

Results: Acceptance was an independent explanatory and predictive variable for quality of life and death anxiety, in the direction of psychological health. Acceptance had greater explanatory power for outcomes than either cancer appraisals or avoidant response styles. Avoidant response styles were associated with greater death anxiety and poorer quality of life.

Conclusions: The findings support the role of an accepting response-style in favourable psychological outcomes, identifying a possible target for future psychological intervention. Response styles that might be encouraged in other therapies, such as active coping, planning, and positive reframing, were not associated with beneficial outcomes.

The study aims to investigate the factors influencing customers’ behavioral intentions to adopt solar net metering systems (NMS) through environmental consciousness, perceived consumer effectiveness and government initiatives constructs along with “the theory of planned behavior” (TPB) constructs, namely, attitude, perceived behavioral control, behavioral intentions and subjective norms.

The data of 472 respondents were collected from 22 states of India using purposive sampling from January to May 2022. The study used international business machines corporation Statistical Package for Social Sciences software for descriptive analysis, and SmartPLS 3.5.5 software was used for structural equation modeling. The data were also checked for multicollinearity, common method bias, skewness and kurtosis using different tests.

The analysis revealed that environmental consciousness, perceived consumer effectiveness and government initiatives significantly influenced the attitude toward solar NMS. Furthermore, behavioral intentions were significantly impacted by three constructs of TPB, which signifies that environmentally conscious customers have a favorable attitude toward solar NMS adoption. Additionally, the role of government initiatives is essential in promoting solar NMS.

This study offers valuable insights for the government, solar product manufacturing companies and other stakeholders to increase the adoption of solar NMS.

This research explores the factors influencing the consumers’ adoption behavior regarding solar NMS; no dedicated study has tried to do so in the Indian context in the past. This study adds novel underpinnings to TPB, enabling better comprehension of solar NMS adoption.

This paper aims to highlight the expanding link between facility management (FM) and building automation and control systems (BACS) through a review of literature. It examines the opportunities and challenges of BACS for facility managers and proposes solutions for mitigating the risks associated with BACS implementation.

This paper reviews various research papers to explore the positive influences of BACS on FM, such as support with strategic decision-making, predictive maintenance, energy efficiency and comfort improvement. It also discusses the challenges of BACS, including obsolescence, interoperability, vendor lock-in, reliability and security risks and suggests potential solutions based on existing literature.

BACS offers numerous opportunities for facility managers, such as improved decision-making, energy efficiency and comfort levels in office buildings. However, there are also risks associated with BACS implementation, including obsolescence, interoperability, vendor lock-in, reliability and security risks. These risks can be mitigated through measures such as hardware and software obsolescence management plans, functional requirement lists, wireless communication protocols, advanced feedback systems and increased awareness about BACS security.

To the best of the authors’ knowledge, no prior academic research has been conducted on the expanding link between FM and BACS. Although some papers have touched upon the opportunities and challenges of BACS for FM, this paper aims to provide a comprehensive overview of these findings by consolidating existing literature.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

This study aims to examine the impact of founder or descendant chief executive officers (CEOs) on the relationship between tax avoidance and firms' future risk. This issue is important because of an ongoing debate about founder and descendant CEOs' impacts, contributions and implications for firms.

This study uses a sample of publicly listed nonfinancial Indonesian firms in 2012–2019, most of which are family firms and adhere to a two-tier governance system that was understudied in previous studies. The authors use panel-random effect data regression for the statistical analysis.

The results demonstrate that founder or descendant CEOs do not affect the positive relationship between tax avoidance and firms' future risks.

This research supports the upper-echelon theory, arguing that top management teams affect firms' strategic policies and outcomes.

CEOs play weaker roles in countries with a two-tier governance system than in a one-tier one. Additionally, in relation to Hofstede's cultural dimensions, Indonesia has collective and feminist characteristics that emphasize elements of togetherness and group so that firms reflect the firms' top management teams and not only CEOs.

This research fills a research gap on the role of founder and descendant CEOs in the relationship between tax avoidance and firms' future risks by analyzing firms in Indonesia, a country with a two-tier governance system and collective and feminine cultural characteristics.

The purpose of this paper is to consider the ethical and environmental implications of allowing space resource extraction to disrupt existing fuel economies, including how companies can be held accountable for ensuring the responsible use of their space assets. It will also briefly consider how such assets should be taxed, and the cost/benefit analyses required to justify the considerable expense of supporting this emerging space industry.

This paper adopts theoretical bioethics methodologies to explore issues of normative ethics and the formulation of moral rules to govern individual, collective and institutional behaviour. Specifically, it considers social justice and social contract theory, consequentialist and deontological accounts of ethical evaluation. It also draws on sociological and organisational literature to discuss Dowling and Pfeffer’s (1975) and Suchman’s (1995) theories of pragmatic, cognitive and moral legitimacy as they may be applied to off-world mining regulations and the handling of space assets.

The findings of this conceptual paper indicate there is both a growing appetite for tighter resource extraction regulations to address climate change and wealth concentration globally, and an opportunity to establish and legitimise new ethical norms for commercial activity in space that can avoid some of the challenges currently facing fossil fuel divestment movements on Earth.

By adopting methodologies from theoretical bioethics, sociology and business studies, including applying a legitimacy lens to the issue of off-world mining, this paper synthesises existing knowledges from these fields and brings them to the new context of the future space resource economy.

As good as existing measurements of entrepreneurial potential (EP) may appear in the literature, they are fragmented, suffer from the lack of theory integration and clarity, are inadequately specified and assessed and the dimensions are unordered by importance. These limitations of EP metrics have hindered entrepreneurial practice and theory advancement. There is a risk of atomistic evolution of the topic among “siloed” scholars and room for repetitions without real progress. The purpose of this paper was to take stock of existing measurements from which the authors developed a new instrument that is brief and inclusive.

The authors followed several steps to develop and validate the new instrument, including construct domain name specification, literature review, structured interviews with entrepreneurs, face validation by experts, semantic validation and statistical validation after two waves of data collected on employee and entrepreneur samples.

A clear operational definition of EP is proposed and serves as a starting point towards a unified EP theory. The new EP instrument is made up of 34 items classified into seven dimensions, which in order of importance are proactive innovativeness, management skill, calculated risk-taking, social skill, financial literacy, entrepreneurial competencies prone to cognitive and heuristic biases and bricolage. The authors provide evidence for reliability and validity of the new instrument.

Although a model is not the model, the authors discuss several ways in which the new measurement model can be used by different stakeholders to promote entrepreneurship.

The authors discuss the domain representativeness of the new scale and argue that the literature can meaningfully benefit from a non-fuzzy approach to what makes the EP of an individual. By developing a new EP instrument, the authors set an important pre-condition for advancing entrepreneurial theory and practice.

The authors hope to filter valuable information from online reviews, obtain objective and accurate information about the demands of auto consumers and help auto companies develop more reasonable production and marketing strategies for healthy and sustainable development. This paper aims to discuss the aforementioned objectives.

The authors collected review data from online automotive forums and generated a corpus after pre-processing. Then, the authors extracted consumer demands and topics using the LDA model. Finally, the authors used a trained Word2vec tool to extend the consumer demand topics.

Different types of vehicle consumers have the same demands, such as “Space,” “Power Performance,” and “Brand Comparison,” and distinct demands, such as “Appearance,” “Safety,” “Service,” and “New Energy Features”; consumers who buy new energy vehicles are still accustomed to comparing with the brands or models of fuel vehicles; new energy vehicles consumers pay more attention to services and service quality during the purchasing and using process.

The development time of new energy vehicles is relatively short, with some models being available for only one year or even six months. The smaller amount of available data may impact the applicability of topic models. The sample size, especially for new energy vehicles, needs to be increased to improve the general applicability of topic models further.

First, this measure helps online review websites improve their existing review publication mechanisms, enhance the overall quality of online review content, increase user traffic and promote the healthy development of online review websites. Second, this allows for timely adjustments in future product production and sales plans and further enhances automotive companies' ability to leverage online reviews for Internet marketing.

The authors have improved the accuracy and stability of the fused topic model, providing a scientific and efficient research tool for multi-dimensional topic mining of online reviews. With the help of research results, consumers can more easily understand the discussion topics and thus filter out valuable reference information. As a result, automotive companies may gain information about consumer demands and product quality feedback and thus quickly adjust production and marketing strategies to increase sales and market share.