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We highlight three approaches for structuring data analysis to aid leadership educators and researchers in investigating differences between populations, considering the variable of age.

Utilizing real data, we exemplify the three approaches to illustrate how insights might be gained.

We offer illustrative empirical findings in this reflective essay to demonstrate the three approaches. Our empirical examples are real, but not designed to be the purpose of this essay.

We provide three methodological approaches to analyzing leadership data that can assist leadership educators and researchers in determining an appropriate method for meaning-making with their data.

We seek to describe three different approaches to data analysis that are likely accessible and convenient as well as could lead to insight for leadership educators and researchers.

This research explores differences in consumer behavior across generational cohorts, particularly focusing on customer loyalty. With Millennials becoming the largest generational cohort, it is crucial to understand loyalty variations, given that many loyalty programs were established during the Baby Boomer era. This study investigates two vital aspects for hotel companies aiming to enhance guest loyalty: antecedents to loyalty and loyalty program design.

In part 1, a loyalty model was tested using corporate social responsibility (CSR), personalization, brand identity, and trust as antecedents for customer loyalty in full-service hotels. The study developed models for the overall sample and each generational cohort. Part 2 explored generational preferences regarding commonly offered hotel loyalty program benefits.

The study revealed no significant differences across generational cohorts in the loyalty model. Antecedents had similar effects on loyalty creation across all three cohorts. In part 2, the four most desired benefits for all generations were upgrades, customized service, late check-out, and empathetic employees.

This research supports Millennials' loyalty to hotels and highlights the importance of benefits that offer immediate advantages during a stay, such as upgrades, late check-out, empathetic employees, and personalization. These findings emphasize the need for loyalty program designs that provide faster rewards and personalization options.

This study pioneers the examination of hotel customer loyalty models across three generations and evaluates loyalty benefits across these cohorts. The results hold significance for researchers and practitioners in the field.

The key purpose of this study is to systematically examine the landscape of education research funded by the National Plan of Educational Research Funding (NPERF) in China. The study aims to: (1) identify the thematic focus areas that reflect the national education agenda, (2) analyze the general funding patterns of education research projects and (3) gain insights into the distinctive nature of the research agenda in China. The study employs a rigorous data-driven approach to offer valuable insights into the dynamic discourses within the field of education research in China, which has received relatively little attention despite its potential significance.

In this study, we utilized word co-occurrence analysis and corpus-based frequency analysis to analyze the research projects funded by the National Plan of Educational Research Funding (NPERF) from 2011 to 2020.

The key characteristics of these projects highlight the focus on higher education research, addressing the interests of specific cohorts of students, teachers and disadvantaged populations. Furthermore, these projects demonstrate a remarkable responsiveness to the policy needs of the country and a robust inclination toward an international comparative framework.

The findings offer valuable insights into the landscape and features of funded education research in China, revealing a strong emphasis on addressing practical needs and enhancing the capacity of the education system in the country.

This paper presents a systematic examination of the topics covered in funded research under the National Plan of Educational Research Funding (NPERF) scheme from 2011 to 2020. It contributes to the advancement of understanding regarding knowledge traditions and practices in the Chinese context. Methodologically, this paper is the first in the literature to be prototyped with a word co-occurrence analysis approach to systematically investigate the funded education research in China. Additionally, it includes the development of a comprehensive corpus list to uncover the key characteristics of the funded projects. The analysis provides unique insights into the priorities and directions of education research supported by the Chinese government, which are of potential interest to international readers.

This study aims to examine the sequential effects of work–personal conflict (WPC) and work environment (WE) on turnover intention (TI) with a focus on generational differences in the restaurant context.

To test the two-model approach, this study uses a moderated mediation analysis based on developed scenarios for survey questionnaires completion by participants.

The results found that WE and personal–work conflict each have a unique sequential effect on TI. However, younger generations perceived external conflicts to affect their personal lives more than older generations. For older generations, external conflict affecting personal life had caused higher intentions to quit their jobs.

The study provides the unique contribution of studying the sequential effects of WPC and WE on TI. Furthermore, this study helps to fill the gap of generational research by testing generational perceptions of these relationships.

The study investigates whether the customer experience, satisfaction and continuance intention interrelationships in mobile banking services vary across Generation (Gen) Y and Gen Z consumers.

The data were collected using online surveys from 224 Gen Y and 238 Gen Z mobile banking users. The study uses the partial least squares structural equation modelling (PLS-SEM) technique and an asymmetrical analytical approach through fuzzy set qualitative comparative analysis (fsQCA) to examine the effects of five experience dimensions (pragmatic, usability, affective, sensory and social) and satisfaction on continuance intention.

Whilst Gen Z values pragmatic and affective experiences more than Gen Y and assigns less importance to usability experience (Uxp), both PLS-SEM and fsQCA did not find any significant impact of sensory experience (Sxp) in any cohort. In contrast, fsQCA suggests that social experience could play a significant role for specific segments within both generations. Furthermore, PLS-SEM demonstrates a greater impact of satisfaction on continuance intention for Gen Y than for Gen Z.

The sample consists of high/middle-income urban consumers in one country. Future research could investigate low-income and semi-urban/rural consumers and consumers living in other countries.

Banks must recognise the diversity within and between Gen Y and Gen Z, adopting a segmented user experience approach. Users within each generation may prioritise distinct aspects of the mobile banking app and understanding the specific differences between Gen Y and Gen Z preferences is crucial.

Encouraging mobile banking users to engage in community-driven financial initiatives can inspire non-users, promoting digital financial inclusion.

To the best of the authors' knowledge, this study is the first to compare the customer experience-based psychological patterns of continued mobile banking use in Gen Y and Gen Z.

This paper aims to assess gender bias in Italian university student mobility controlling for the field of study. It uses data from the Italian National Student Archive (Anagrafe Nazionale degli Studenti – ANS) for the cohort of freshmen enrolled in the 2017 academic year. The macro-regional comparison unfolds across the following areas: North and Centre, Southern Italy and main Islands (Sicily and Sardinia).

The analysis is firstly carried out at the national level, and secondly, it focusses on macro-geographical areas. University mobility choices are thus investigated from a gender perspective, conditioning upon other theoretically relevant characteristics collected for the prospective first-year university student population enrolled in 2017. The authors analyse data in a regression setting (logit models) within the multilevel framework, which considers students at level 1 and the field of study at level 2. Gender differences in the propensity to be a mover – conditional upon the choice of the field of study – were captured by introducing random intercepts to account for clustering of students in fields of study and random slopes to allow the gender effect to differ among them.

Findings show that university student mobility in Italy leads evidence of gender bias. This has been detected using a multilevel random slope approach that allowed the authors to jointly estimate a slope parameter for gender within each field of study. Moreover, using a regression setting allowed the authors to control for heterogeneity in geographical, educational and socio-demographic characteristics across students. In line with previous empirical findings, the authors' data highlight the presence of a relevant mobility flow of university students from the South toward the North-Centre of Italy and lower mobility of female students compared to male students from the South and Islands.

To the best of the authors' knowledge, there are no studies in Italy, which investigate if families' investment in higher education in terms of selection of no-local universities are affected by gender bias and if geographical differences in this behaviour between macro-areas are in place. Thus, investigating students' choices in tertiary education allows the authors to shed light on the presence of gender bias in families' education strategies addressed to increase the endowment of students' assets for future job opportunities.

User diversity has been discussed in many fields of study for decades. Nevertheless, some cohorts are rarely included in mainstream research. According to the concept of universal design of research (UDR), people with disabilities should be more often included in participant pools. There is, however, a need for certain methodological considerations to achieve UDR.

The suggested guidelines are based upon existing guidelines and research in addition to key takeaways from studies conducted by the authors over the past 15 years. Six studies are used to show how the guidelines can be applied in research involving three example cohorts, namely people with dyslexia, aphasia and intellectual disability.

Extensive guidelines are needed to increase user inclusion in mainstream studies and support researchers in conducting purposeful and ethical research. The suggested guidelines should be examined for other cohorts to ensure that all types of user needs are accommodated.

This study contributes with methodological approaches to enhance inclusion of all types of participants in mainstream research.

The main contribution is The seven principles of UDR, a further development of the original principles for UDR.

This paper aims to investigate how mixed-reality (MR) can be used to enhance inclusivity in synchronous working activities where groups of people may be present either face-to-face or online – focusing on blended learning in the higher education (HE) context.

In a research methods module, 140 university master’s-level students were given the option to attend and engage in seminars/practical sessions either in a real lecture room or online through a virtual version of an equivalent environment, accessible on everyday devices. The MR platform provided two-way video “windows” enabling all students on the module to freely interact with staff and their peers. Attendance was recorded throughout the semester and survey data was captured after all sessions (33% response rate). In addition, student activity was video recorded within both the real and virtual spaces.

Attendance was high throughout the semester and students were very positive about this novel approach to their education. Students chose to either engage purely in-person, online or as a mixture of the two; performance on the module was not impacted by this decision. The survey highlighted several factors that impacted on students’ choice of learning space, including those related to intrinsic characteristics of individual students (e.g. desire for traditional/novel social interactions) and those related to extrinsic influences (e.g. weather and travel demands). Video analysis revealed numerous differences in the behaviours exhibited across the virtual and real spaces, related to individual versus team mentalities.

Conclusions are drawn regarding how MR can be used in HE and potentially other work-related contexts to enhance engagement, a sense of community and ultimately learning/productivity outcomes.

This study investigated how a large (>100) cohort of students responded to an MR blended learning experience across a whole semester. In this respect, to the best of the author’s knowledge, this is the first study to consider such issues at this scale in a university education setting.

This study aims to understand the reasons for individuals switching from traditional banks to Internet-only banks and examine how switching intentions differ between Generation X and Generation Z. Notably, Generation Z, being digital natives, exhibits distinct characteristics compared to Generation X, who often referred to as digital immigrants. Given the technology-driven nature of Internet-only banks, a multi-group analysis between these two generations was conducted.

This study utilizes Bansal’s push–pull–mooring model as a framework to analyze switching intention. The study collected survey data from 383 Korean participants, consisting of 198 participants from Generation Z and 185 participants from Generation X.

The findings indicate that low satisfaction and discomfort are factors that push people to leave traditional banks. Specifically, Generation Z shows a significantly higher inclination to leave traditional banks due to discomfort. On the other hand, relative advantage, compatibility, observability and trialability are factors that pull people to switch to Internet-only banks. Generation X is more likely to consider adopting Internet-only banks when compatibility is high and complexity is low.

This study is the first to explore unique motivators for Generation Z, such as their discomfort with interpersonal interactions in the retail banking sector. These findings challenge earlier research emphasizing human interaction’s importance in technology adoption, offering insights into their future adoption of contactless services.

The escalating global mortality rates attributed to cardiovascular diseases (CVDs) have drawn the attention of the World Health Organization (WHO), prompting researchers worldwide to address this pressing health concern actively. This study aims to unravel insights into the relationship between specific diets and CVDs by examining authors, countries, articles, journal productivity and their impact.

Diet patterns are recognised as contributing to the rise of CVDs, prompting a comprehensive analysis of relevant literature from Scopus, Web of Science and PubMed databases using the Biblioshiny software.

The analysis delves into cluster development and major themes within the literature, encompassing holistic approaches to cardiovascular health, the nexus between diet, nutrition and cardiovascular health, the impact of plant-based diets on diverse populations, the role of the Mediterranean diet in cardiovascular health and the influence of dietary diversity on cardiovascular health across cultures.

Noteworthy developments in emerging areas like dietary history records, NutriOptimisation and MediCulinary Sensitivity are identified, providing a foundation for future researchers to contribute to achieving Sustainable Development Goals (SDG) 3.