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Presidential candidate Donald Trump ran for office promising a ‘total and complete shutdown’ of Muslims entering the United States. This essay, based on policy research, data analysis and interviews, provides extensive details of what became of that promise from legal, social and humanistic perspectives. Issued during his first week in office as US President, the ‘Muslim Ban’ Executive Order immediately produced chaos at airports globally, as US visas and ‘green cards’ suddenly became invalid for entry to the United States for persons travelling on the passports of seven Muslim majority countries. Over time, the Trump administration amended the Muslim Ban through new executive orders and proclamations that removed unlawful components, changed the countries affected, or altered the policy's justification. Although all these iterations faced legal challenges, a majority of the US Supreme Court ultimately acquiesced to President Trump and ruled in favour of the ban's legality. Throughout this period, the US immigration process rattled on like a machine, encouraging would-be (but banned) migrants to continue pursuing their paperwork and paying their fees, even though entry visas would prove unavailable. Waivers for family reunification were overwhelmingly denied at the consular level, and tens of thousands of otherwise eligible migrants lost substantial amounts of money in pursuit of the elusive visa. Protests erupted at US airports when the ban was initially implemented, revealing a political solidarity with Muslims rarely seen before. These events ended when enforcement of the ban was moved to remote locations, to US consulates abroad.

To elaborate the nature of fact-checking in the domain of political information by examining how fact-checkers assess the validity of claims concerning the Russo-Ukrainian conflict and how they support their assessments by drawing on evidence acquired from diverse sources of information.

Descriptive quantitative and qualitative content analysis of 128 reports written by the fact-checkers of Snopes – an established fact-checking organisation – during the period of 24 February 2022 – 28 June, 2023. For the analysis, nine evaluation grounds were identified, most of them inductively from the empirical material. It was examined how the fact-checkers employed such grounds while assessing the validity of claims and how the assessments were bolstered by evidence acquired from information sources such as newspapers.

Of the 128 reports, the share of assessments indicative of the invalidity of the claims was 54.7%, while the share of positive ratings was 26.7%. The share of mixed assessments was 15.6%. In the fact-checking, two evaluation grounds, that is, the correctness of information and verifiability of an event presented in a claim formed the basis for the assessment. Depending on the topic of the claim, grounds such as temporal and spatial compatibility, as well as comparison by similarity and difference occupied a central role. Most popular sources of information offering evidence for the assessments include statements of government representatives, videos and photographs shared in social media, newspapers and television programmes.

As the study concentrated on fact-checking dealing with political information about a specific issue, the findings cannot be extended to concern the fact-checking practices in other contexts.

The study is among the first to characterise how fact-checkers employ evaluation grounds of diverse kind while assessing the validity of political information.

The economy of China has developed rapidly, and its international status has quickly risen in the past 30 years. China is shifting from a major exporter into a major consumer, becoming an essential part of the international market. However, some global brands make wrong market decisions because of a lack of understanding of Eastern consumer culture.

Based on consumer xenocentrism, this paper helps global enterprises better understand Chinese consumers' psychology in foreign goods, which is conducive to the development of transnational trade. This study proposes a hypothesis model based on previous literature. The authors collected 300 questionnaires from China and tested the model by SPSS24 and AMOS24.

The findings show that curiosity and country of origin positively affect consumer xenocentrism, consumer xenocentrism has a positive impact on word-of-mouth and purchase intention, word-of-mouth plays a mediating role in xenocentrism and purchase intention and social comparison tendency plays a moderating role in consumer xenocentrism and purchase intention. Simultaneously, this paper develops a scale measuring consumer xenocentrism to provide some quantitative support for this research.

The authors propose some suggestions basing on the research of consumer xenocentrism and provide some further directions.

This paper aims to examine the existence of a transparency gap between voluntary external sustainability reporting and internal sustainability performance of an organisation arising from the operationalisation of transparency as an instrumental tool.

This study combined an analysis of a firm’s sustainability report (secondary data) with a qualitative case study data (primary data comprising interviews, meetings and internal documents) to understand how the Global Reporting Initiative (GRI) sustainability reporting guidelines are applied in practice.

By comparing what is reported with a range of primary case study data, this study finds evidence of transparency gaps, particularly in terms of the quality of measurement of sustainability performance, the materiality of issues covered and the completeness of the report. This study posits that voluntary disclosures following the GRI guidelines (transparency technique) shape the external expression of acceptable corporate behaviour (transparency norm) that is nevertheless at odds with actual behaviour or performance.

The findings indicate the importance of mandatory sustainability reporting requirements that facilitate accountability to all key stakeholders and that are externally assured and enforced. Such requirements might take the form of standards that put boundaries on judgement and address material sustainable development impacts and that are accompanied by implementation guidance. Non-financial assurance practices must be developed to cover adherence to reporting principles and processes.

Transparency gaps that result from voluntary disclosure guidelines or standards being used to imply a transparency norm may undermine accountability for the impacts of the organisation and hinder alignment of business models and corporate strategies with sustainable development.

The paper contributes to a theoretical understanding of transparency as a form of self-regulation and has implications for the further development of sustainability reporting standards.

In English valuation practice, when valuing small to medium size (StMS) shops, rental analysis is undertaken using zoning based on the argument that shop fronts including window displays attract customers to shops and that most trading takes place in the internal frontage area making it the most valuable part of shops. Albeit zoning has been critiqued, it remains the preferred method of rental analysis. The paper aims to answer two research questions: are shop fronts including window displays the only factor that attracts customers to shops? And is the frontage space within shops the area most trading takes place?

The exploratory qualitative research methodology was used, and primary data collected by observing 178 shops in selected five shopping areas. The observational data were complemented with the use of secondary data.

The study has shown that shop fronts are not the only factor attracting clientele to shops as there are other varied factors including location, availability of Internet and hoardings. There is no evidence to suggest most goods in shops are displayed at the frontage space that attract most customers to that area, thereby, making the area the most valuable part, which decreases backwards.

These findings coupled with extant research evidence implies zoning can lead to under or over valuation of StMS shops (which is not good for retail real estate (RE) management or market), and turnover generated from shops is the overarching determinant of rental values in valuation.

This is the first time the very foundation/underpinning principles of zoning have been subjected to scrutiny in England.

Since the start of the Carers’ Movement research into unpaid care and carers has been used to advocate for policy change. The purpose of this paper is to address the changes in research into unpaid care and carers since the start of the Carers’ Movement and to explore the relationship between these changes and social policy.

This research paper is based on a qualitative study of documents within the Carers UK archive.

Research into unpaid care and carers has changed focus from caregiving as an identity and lifestyle to an interruption to “normal” life and employment. Changes in research are intertwined with changes in policy, with research evidencing advocation for policy change and policy change fuelling further research. Changes in the methodology of this research exposes transition points in the Carers’ Movement and in social research more broadly.

This paper contributes to critical understandings of the relationship between research into unpaid care and caring and policy. The paper also contributes to debates on methodology, exploring how the methodological zeitgeist presents in archived research.

Understanding how current research into unpaid care and carers has been developed and acknowledging the role of policy in research development brings available data on unpaid care and caring under scrutiny.

This paper is original in developing a critical analysis of the relationship between research into unpaid care and carers and social policy.

The purpose of this paper is to integrate the findings of articles appearing in European Journal of Marketing’s special section on covariance-based versus composite-based structural equations modeling (SEM).

This is an editorial which uses literature review to draw conclusions regarding areas of agreement, areas for further research, and changing the discussion around composite-based SEM methods.

There are now four new areas of agreement regarding composite-based SEM. Researchers should adopt a toolbox approach to their methods and know the strengths and weaknesses of the research tools in their toolbox. Partial least squares (PLS) SEM and covariance-based SEM are not substitutes, and it is inappropriate to use the language of confirmatory factor analysis (CFA) in reporting measurement estimates from PLS SEM. Measurement matters and researchers need to devote effort to using reliable and valid multi-item measures in their investigations.

This postscript article outlines recommendations for authors, reviewers and editors regarding the analysis of data and reporting of results using structural equations models.

This paper is an attempt to re-examine the validity of the Twin Deficit Hypothesis in the Indian economy, which is characterised by mounting inequality and liquidity constraints. The authors augment the econometric analysis with two important mediating variables, exchange rate and trade openness, to analyse their impact on current account deficit.

The authors have used a ground-breaking asymmetric cointegration technique proposed by Shin et al. (2014) to investigate the short-run and long-run asymmetric nexus between gross fiscal deficit and current account deficit. In addition, the study has used asymmetric dynamic multipliers to see the dynamics of nonlinear adjustment from disequilibrium in the short run to equilibrium in the long run. The study has also used generalised impulse response functions to check the robustness of our cointegration results.

Using annual time series data from 1970 to 2018, the empirical exercise validates the presence of asymmetries in the Twin Deficit Hypothesis for the Indian economy. This study's robust findings demonstrate that the two deficits are asymmetrically related in the long run. The authors also found that exchange rate asymmetrically affects current account deficit thus validating the asymmetric J-curve phenomenon. From the causality analysis, the authors infer that there is a weak unidirectional causality running from fiscal deficit to current account deficit.

Fiscal deficit may cause current account deficit via changes in other macroeconomic variables that were not taken care of in this study. Therefore, the estimation techniques used in the present study might suffer from the issue of omitted-variable bias. Further research should include other macroeconomic variables where the twin deficit nexus is also influenced by other relevant variables. This will help in disentangling the indirect transmissions by which fiscal deficit translates into current account deficit.

The results from our econometric exercise strongly suggest that the twin deficits are asymmetrically related. From a policy perspective, the asymmetric twin deficit nexus offers strong policy implications for the development of policies that are flexible enough to respond to shifts in internal and external sector dynamics. While framing the mechanism of fiscal prudence, policymakers in emerging countries like India must take into account the regime-changing behaviour of twin deficits.

The present paper is a significant contribution to the existing body of literature by being the first study in India which has analysed the Twin Deficits phenomenon in a nonlinear framework with the incorporation of asymmetric exchange rate dynamics in the model.

The study focusses on the legal issues surrounding artificial intelligence (AI), which are being investigated and debated about several European Union initiatives to manage and regulate Information and Communication Technologies. The goal is to discuss the benefits and drawbacks of adopting AI technology and the ramifications for the articulations of law and politics in democratic constitutional countries. Thus, the study aims to identify socio-legal concerns and possible solutions to protect individuals’ interests. The exploratory study is based on statutes, rules, and committee reports. The study has used news pieces, reports issued by organisations and legal websites. The study revealed computer security vulnerabilities, unfairness, bias and discrimination, and legal personhood and intellectual property issues. Issues with privacy and data protection, liability for harm, and lack of accountability will all be discussed. The vulnerability framework is utilised in this chapter to strengthen comprehension of key areas of concern and to motivate risk and impact mitigation solutions to safeguard human welfare. Given the importance of AI’s effects on weak individuals and groups as well as their legal rights, this chapter contributes to the discourse, which is essential. The chapter advances the conversation while appreciating the legal work done in AI and the fact that this sector needs constant review and flexibility. As AI technology advances, new legal challenges, vulnerabilities, and implications for data privacy will inevitably arise, necessitating increased monitoring and research.