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The purpose of this paper is to explore the ethnocentric tendencies of Emirati Gen Z consumers and to provide empirical evidence on how demographic variables (gender and education) influence ethnocentric tendencies. The study also attempts to know the impact of ethnocentrism on the buying behavior of the segment.

Researchers collected the opinions of 310 Emirati Gen Z consumers by using a modified CETSCALE. The data was reviewed and coded by applying software R Studio and Microsoft Excel. Cronbach’s α and Kaiser–Meyer–Olkin (KMO) tests were administered to check the internal consistency and validity of the 17-item CETSCALE. Then, the factor extraction method principal component analysis (PCA) was used to analyze the data. The selected hypotheses were tested by using the Cronbach α and Kruskal–Wallis (K-W) hypothesis testing technique.

The findings suggest that Emirati Gen Z consumers substantially ethnocentric who prefer domestic products/services over foreign goods. No significant influence of gender and education on Emirati Gen Z consumers’ ethnocentric tendencies.

The targeted subjects were selected only from Dubai and the Sharjah Emirates and not covered the remaining five emirates of the UAE. Consumers were asked to assess their ethnocentrism without reference to a specific product or service.

This type of meticulous study in the UAE has never been done before to explore the ethnocentric tendencies of Gen Z consumers.

The primary purpose of this paper is to demonstrate that the writings of Aristotle and Cicero can be used to as a conceptual tool to promote an understanding of wisdom, moral duty, and related subjects in respect to contemporary business management practice.

The methodology comprised a critical reading and analysis of Aristotle's Nichomachean Ethics and Cicero's De Officiis (On Duties). The approach combines both historical and philosophical research. An earlier version of the paper was presented to a group of early/middle managers, and then to a group of more senior/experienced managers.

Both groups supported the idea that the article was appropriate for highlighting moral issues in contemporary business management practice.

A limitation was dealing with the amount of material that Aristotle and Cicero produced. A secondary limitation was translating the original Greek and Latin (notwithstanding the Loeb Classical Library) into understandable everyday English.

Developing understanding of concepts, such as wisdom, moral duty, and related subjects should be included in MBA programs.

The paper has value because: it relates concepts and ideas conceived in Aristotle's and Cicero's time to contemporary management practice, and it illustrates that these ideas are still relevant and applicable in the modern business environment.

This paper presents the results of the simulation of the forging of a connecting rod. The calculation has been carried out by the code FORGE3 developed at the CEMEF laboratory. FORGE3 is a three‐dimensional finite element computer program that can simulate hot forging of industrial parts. The flow problem is solved using a thermomechanical analysis. The mechanical resolution and the thermal one are coupled by the way of the consistency K which is thermodependent, the plastic deformation in the volume of the material and the friction heat flux on the surface. The material behaviour is assumed to be incompressible and viscoplastic (Norton—Hoff law) with the associated friction law. The thermal resolution includes the case of non‐linear physical properties and boundary conditions. An explicit Euler scheme is used for the mechanical resolution and two‐step schemes for the thermal one. For the computation of other parameters, it is necessary to have a good approximation for the strain rate tensor. The Orkisz method has been used to determine the deviatoric stress tensor and p is calculated by an original smoothing method. The results show that it is possible to get good information on the flow and on the physical properties during forging of automotive parts. Comparisons have been made with experimental measurements with a reasonably good agreement.

This study aims to create actionable guidelines for pricing decision-making by employing game a theory matrix to forecast the correlation between the average daily rate and the latest ambiance of hotels.

Utilizing a vector error correction model, the research employs game theory to assess the influence of the average daily rate on the hotel's newest atmosphere during both peak season (April–September) and valley season (October–March).

Findings indicate that during the peak season, when the average daily rate rises in resorts and falls in suburban areas, the hotel’s newest atmosphere is at its best in both types of accommodations. During the off-peak season, the hotel’s newest atmosphere is achieved when both resorts and suburban accommodations increase their average daily rates.

There are two study constraints. One is the assumption that hotel guests in both parties prefer not to change hotels, but in fact they would. Two is a limited sample of two resort and suburban markets.

This suggests that the hotel’s newest atmosphere can draw both leisure and business travelers to suburban areas during the low season and more leisure travelers to resorts during the high season.

The study’s findings have implications for revenue related to the hotel’s newest atmosphere and cleanliness for both suburban and resort hotels, particularly when promoting tourism collaboratively.

The study provides valuable insights for hotel managers in analyzing pricing strategies using matrices.

This paper aims to present an exploration of possible associations between the Jungian archetypes frequently used in marketing and three well-known products based on artificial intelligence (AI), namely, Sophia, Alexa and Articoolo.

The study conducted emotionalist interviews to gather thick data from 11 participants on how they conceptualize these AI-based products. In the absence of any existing relevant hypotheses, this paper attempts to build theory using a case study approach and qualitative analysis of interview narratives.

Despite the human attributes ascribed to these products, participants were principally concerned with their purpose, efficiency and the degree of trust which they felt could be accorded to the product. Anthropomorphism emerged as significant with participants making some associations with common archetypes traditionally exploited in marketing and this suggests a possible means of enhancing consumer trust in AI products.

Little research has been conducted on the marketing of AI and this study presents a timely identification of some potentially significant issues. As AI is intended to mimic some aspects of human intelligence, the role of the archetype in creating a personality to enhance trust may prove crucial in securing consumer confidence.

In this chapter, the authors illustrate how the use of ethnographic methods as a mode of cultural inquiry can support educators in developing students’ competencies to navigate in and across cultural contexts. The authors report on an undergraduate service learning course held at the University of California, Los Angeles, which combines attendance in a university class with weekly visits to a play-based after-school club located in a multicultural immigrant community. The chapter draws examples from the required field notes written by undergraduate students about their visits to the after-school club, as well as oral comments by the students gathered through interviews. As a way of offering practical engagement in the lifeworlds of the demographically diverse children attending the after-school club, the authors apply examples from the undergraduates’ statements to consider the value of the course – and the engagement it requires with anthropological methods and multilingual and multicultural children – in supporting students’ cultural competence. In doing so, the authors demonstrate what they believe to be a worthwhile approach for cultivating cultural competence in higher education in a socially just and culturally responsive manner.

To describe the development of a rubric for identifying diversity in children’s literature to inform literature selection for classroom instruction. Drawing on research literature and data collection reporting the need for increased awareness of the use of diverse children’s literature in elementary and middle school classrooms, we designed and field-tested a rubric for use in identifying diversity in children’s literature. Using constant comparative methods to identify themes in the data, we continually refined the categories in a rubric designed to guide the selection of diverse children’s literature. Content analysis of children’s literature for diverse elements informed the development of the rubric categories. The results of this study produced a field-tested rubric that can be utilized by classroom teachers and researchers to guide their literature selections with the goal of representing increased diversity. Findings demonstrated that a rubric with four clearly defined categories was more user-friendly to classroom teachers, and that applying the rubric when discussing children’s literature led to conversation and collaboration among colleagues. This study demonstrated that the rubric can be applied to literature selections with classroom teachers and can be used to stimulate conversation about diversity in children’s literature as it applies to the classroom context. This chapter’s rubric provides a useful tool for classroom teachers. Teachers can use this tool to assist them in selecting diverse children’s literature for their classrooms. Administrators and literacy coaches can use this rubric as a way to stimulate conversation surrounding diverse children’s literature.