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Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game.

The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values.

The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor.

Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.

There is an increasing interest in the international management literature in cultural differences between in-country regions. Yet, the regions of any country may be merely political products and not necessarily cultural units. The goal of this article is to propose clear empirical criteria for deciding if a set of entities, such as a country's administrative regions, can be legitimate units of cross-cultural analysis and to test these criteria in an empirical study.

The authors review the literature on what constitutes a unit of cross-cultural analysis and propose empirical criteria. For instance, the regions of a given country are meaningful units of cross-cultural analysis if one can replicate (an) established dimension(s) of culture at the regional level, including some of the dimension(s)' antecedents and predictive properties. The authors apply this test in the context of the Russian Federation (RF), using an RF database (18,768 respondents from 60 administrative regions) with items borrowed from the World Values Survey.

The RF regions pass the authors’ test. At the regional level, the selected items yield an individualism-collectivism (IDV-COLL) dimension that is similar to its nation-level counterpart in the revised Minkov-Hofstede model in terms of concept and antecedents (wealth differences and geographic latitude) and outcomes that are relevant in business (innovation rates and quality of governance). The authors also find other patterns that confirm the properties of RF regions as meaningful units of cultural analysis.

The authors’ criteria and the test based on them are suitable for large countries, with significant geo-climatic variety and ethnic diversity, but may be inapplicable in small countries with less diversity. It is questionable if the latter countries contain enough cultural variation to justify a cross-cultural analysis of their sub-national regions.

The authors’ criteria can be used in future research in any large country to decide if its regions justify a cross-cultural analysis in the field of management and business or any other field.

Cultural differences within a country are important as they may inform political and management decisions. Yet, to demonstrate that those differences are real, and not imaginary, one needs a methodology like the authors’.

The study contributes to the discussion of the meaningfulness of in-country regions as cultural units for cross-cultural analysis in international business by focusing on the RF.

Managing diversity requires an understanding of culture. The majority of businesses have realised that competitiveness no longer stems from formal organisational structures but rather from the mindsets, competencies, and functioning of individuals who create, develop, and support the organisation and who frequently come from different cultural backgrounds. Understanding the essence of a culture, its components, variations, and how all these things effect the business and the managerial process is very beneficial for international managers. Businesses in global value chains need cross-cultural management practices to obtain a competitive advantage. Global value chains make it possible to benefit from the comparative advantages of other nations, and without cross-cultural management, these multinational corporations would be unable to carry on with their business operations. Although there are many explanations on global value chains in the literature, there is no study on the effect of different cultures in value chain management and how different cultures can be managed in global value chains.

In this chapter, the definition of the concept of culture, which is comprehensive and crucial in managing differences, will be depicted. Then, the concept of cross-cultural management will be emphasised and what cross-cultural management means and why and to what extent it is important will be explained. In addition, the impact of cross-cultural management in the inclusive global value chain will be discussed, emphasising the value chain analysis, how it emerged, its basic concepts, and its importance in the international context.

A pronounced rise in postpandemic immigration is creating consumption opportunities and challenges for countries worldwide. Past research has shown that immigrant homeownership indicates advanced consumer acculturation. However, critical factors which differentiate immigrant decisions to purchase a home remain underexplored. This study aims to examine the importance of different identity resources in determining homeownership gaps between immigrant groups in Spain during a dynamic decade.

A mixed methods research design with triangulation was used. First, the critical “historical research method” is used to empirically assess 15,465 household-level microdata files from the National Immigrant Survey of Spain. Second, the analysis is corroborated through informant interviews, an evaluation of digital news archives and other historical traces such as relevant advertisements in Spain from 2000 to 2009.

Results provided an account of immigrant homeownership whereby foreign-born consumers leveraged resources to promote social identities aligned with an advanced level of acculturation through housing investment during this period. Furthermore, marketing focused on specific targets of ethnic minority consumers coupled with government policies to promote immigrant homeownership reinforced the “Spanish Dream” as a new paradigm for housing market integration.

Spain provides an unprecedented historical context to explain marketing-related phenomena due to a perfect storm of immigration, job availability and integration supports. Contrary to popular wisdom, immigrant consumer homeownership gaps are not solely a result of differences in income and economic mobility, but rather an advanced acculturation outcome driven by personal and social investments in resources that lead to consumer identities.

The purpose of this viewpoint article is to serve as a discussion starting point regarding organizational leadership’s increasing reliance on AI – in particular, how the technology is used as a supplemental tool for supporting rational decision-making. Practical implications and directions for further research are presented.

With its inception in economics, the concept of rationality has a rich history across multiple research domains. Based on that literature, coupled with the recent advancements in AI, the paper asks: will AI afford organizational leadership the ability to move from making bounded rational decisions to making fully rational decisions? The paper only scratches the surface of such a large question; however, the goal is to start the discussion around the topic.

While bounded rationality supports efficient decision-making, a complete understanding of any given decision is typically limited, and as a result, neither accuracy nor effectiveness is guaranteed. As AI systems grow in speed and accuracy, they should provide positive support for organizational leaders to make fully rational decisions. AI’s ability to collect and organize data, analyze it, and offer decision alternatives may help close the gap between bounded and rational decision-making.

Although AI research is not new, the recent developments in natural language processing engines has rapidly brought about new possibilities for their use in rational decision-making in the business and organizational context. This is fertile ground for future research, particularly in the area of organizational decision-making.

This paper intends to explore the relationship between participants' eye fixations (a measure of attention) and durations (a measure of concentration) on areas of interest within a range of online articles and their levels of information discernment (a sub-process of information literacy characterising how participants make judgements about information).

Eye-tracking equipment was used as a proxy measure for reading behaviour by recording eye-fixations, dwell times and regressions in males aged 18–24 (n = 48). Participants' level of information discernment was determined using a quantitative questionnaire.

Data indicates a relationship between participants' level of information discernment and their viewing behaviours within the articles' area of interest. Those who score highly on an information discernment questionnaire tended to interrogate the online article in a structured and linear way. Those with high-level information discernment are more likely to pay attention to an article's textual and graphical information than those exhibiting low-level information discernment. Conversely, participants with low-level information discernment indicated a lack of curiosity by not interrogating the entire article. They were unsystematic in their saccadic movements spending significantly longer viewing irrelevant areas.

The most profound consequence is that those with low-level information discernment, through a lack of curiosity in particular, could base their health, workplace, political or everyday decisions on sub-optimal engagement with and comprehension of information or misinformation (such as fake news).

Ground-breaking analysis of the relationship between a persons' self-reported level of information literacy (information discernment specifically) and objective measures of reading behaviour.

The purpose of this study is to explore the ideological gaps on police use of force.

In a national-level survey distributed via Mechanical Turk (MTurk) (n = 979), the authors explore the role that respondents' political ideology plays in the approval of police use of force across a range of scenarios.

Across all scenarios, self-identified conservative respondents maintain strong approval of police use of force. In comparison, liberal respondents provide more variance in their views on approval of police use of force based on the scenario. The scenarios where there are small gaps in approval between the two ideologies are when reasonable force is used toward a violent threat.

There are specific circumstances where the messaging surrounding use of force can create agreement (reasonable) or disagreement (excessive) among conservatives and liberals.

Conservatives and liberals demonstrate gaps across an even larger set of use of force scenarios.

The aim of this article is two-fold. First, it offers a unique account of San Min, the prototype of the current Chinese educational principle proposed by Yan Fu (1854–1921) that aimed at improving people’s physical, intellectual and moral capacities. This system of educational thinking has received only marginal attention in Anglophone research literature. Second, given the influence of Yan Fu’s interpretation and promulgation of Herbert Spencer’s educational philosophy during that period, it investigates the extent to which San Min is derived from Spencer’s educational thought (the “Spencerian Triad”). This article focusses on how Yan Fu adapted the ideas of San Min from Spencer’s account.

This article considers Yan Fu’s principle of San Min in relation to Spencer’s educational triad through a close reading and comparison of key primary texts (including Yan Fu’s original writing). It explores the similarities and differences between each account of education’s goals and its proposed means of attainment.

Yan Fu’s principle of San Min is shown to have been adapted from the Spencerian Triad. However, using the theory of Social Organism, Yan Fu re-interpreted Spencer’s individual liberty as liberty for the nation. While Spencer’s goal was to empower individuals, Yan Fu aimed to serve collective independence, wealth and power.

This article addresses oversights concerning San Min’s Western origins in the Spencerian Triad and its influence on Chinese education under Yan Fu’s sway. It is significant because San Min is still at the core of the current Chinese educational policy.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.