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In this chapter, Mousumi De presents the principles and implications of CRT in the context of Asian and Asian American experiences including the perspective, features, strategies, and new directions on how to facilitate the preparation of teacher candidates and work with all teachers to understand the complexity of the Asian and Asian American identity, their racialized experiences, and their sociohistorical, transnational contexts that continue to influence their lived experiences. This chapter highlights the important issues and challenges facing Asians and Asian Americans that have been camouflaged by their stereotypical treatment as model minorities. It also shares the work of many scholars on approaches for promoting diversity and inclusion, such as implementing anti-racist, anti-oppressive, and inclusive history curricula, cultural citizenship education, teaching for social justice, and culturally responsive and culturally sustaining teaching for addressing the marginalization of Asians and Asian Americans.

This study aims to evaluate Netemeyer and colleagues' much cited financial well-being scale in Brazil and India and compare responses from different demographics. It also compares the results using two analysis techniques, item response theory (IRT) and confirmatory factor analysis (CFA).

A total of 994 survey responses from Brazil and 1,081 from India were collected. IRT and CFA models were used to analyse the data.

The results demonstrate the two-dimensional structure of the financial well-being scale and show that different items are differentially useful in measuring the construct across different groups. These findings may support the scale's future refinement and use in applied studies that will target specific groups (e.g. males, females, younger respondents and older respondents).

This study serves as an example to others who can explore the advantages of IRT over classical test theory methods to assess the psychometric properties of scales aimed at measuring latent constructs of interest in the field of marketing.

The correct diagnosis of financial well-being is important to guide interventions by governments and non-governmental entities, as well as by financial institutions interested in better understanding individuals.

The authors show how the identification of the characteristics of scale items provided by the IRT technique allows for a better understanding of its properties and how it can be improved.

The purpose of this paper is to examine the role of university in shaping pro-environmental behaviour in students.

The paper used goal-framing theory to investigate the relationship between goals and pro-environmental behaviour by comparing the responses of entry- and exit-level students. Structural equation modeling, one-way analysis of variance and other standard statistical analysis have been used to analyse the data collected through questionnaire survey in a central university offering technical education in India.

Pro-environmental intention in students increases with a strong normative goal. The direct and indirect effects indicate hedonic goal and gain goal via normative goal leads to better pro-environmental behaviour. Higher values for normative goal in exit-level students substantiates the role of university.

The paper provides scope to improvise and incorporate environmental practices into the habits of the students by aligning their goals and university dimensions including curriculum, campus operations, research and outreach activities.

The results make an important contribution in establishing a sustained green culture by offering a new university paradigm.

This paper empirically investigates whether trade openness (TO) in Brazil, Russia, India, China and South Africa (BRICS) countries affects how banks might employ loan loss provisions (LLPs) to smooth out their earnings and how adopting the International Financial Reporting Standards (IFRS) can mitigate it.

The analysis includes 78 commercial banks from five BRICS nations and spans 2014 through 2020. To test these hypotheses, the authors utilized a fixed-effect and two-step system panel generalized methods of moments (GMM) estimator.

TO positively affects income smoothing (earnings management) across BRICS commercial banks. The effect is clearer in banks that make financial reports under the IFRS. Path analysis reveals that the effect of TO is driven by nonperforming loans (NPLs). Additionally, the IFRS restricts earnings management in the BRICS banking sector when a better institutional environment is present. The authors found that accounting rules (IFRS) and enforcement (better institutional settings) interact to enhance earnings’ quality.

The relationship between TO and bank earnings management practices is important for understanding the complex interplay between trade and finance and ensuring financial stability, investor confidence and regulatory compliance. This study recommends better regulations and governance mechanisms for financial reports in emerging nations like BRICS. Additionally, macro-prudential regulators and banking supervisors should work closely to ensure transparent TO decisions with improved discipline, institutional quality and regulatory support to enhance bank stability.

The study finds evidence of bank income smoothing in the BRICS and introduces TO as a determinant. It also identifies the evolving role of IFRS in the presence of higher institutional quality and TO, thereby expanding the financial reporting literature.

Extant literature indicates the influence of anxiety on job insecurity (JI). However, the effect of financial anxiety (FA) on JI has received lesser attention. Further, there is a dearth of literature on this relationship during a global crisis, such as COVID-19, and more so in the Indian context. This study attempts to empirically explore the relationship between FA and JI in presence of moderators, such as gender, tenure and individual annual income.

Data were collected from 584 employees engaged in remote working in the information technology (IT) sector in India during the COVID-19 crisis. The data were analysed using SPSS 25 and AMOS 24. A hierarchical regression method was followed to test the hypothesis. In step 1, JI was regressed on FA in presence of control variables. In step 2, moderators, such as gender, tenure and individual annual income, were entered along with interaction terms.

Findings revealed a significant positive relation between FA and JI. The moderating effects of gender, tenure and annual income on the relationship between FA and JI were significant and interesting.

The paper empirically studies the role of FA on JI of Indian IT employees during COVID- 19. It is a response to researchers' call to integrate the effect of different moderators on the relationship between FA and JI during a crisis that has direct impacts on both. The influence of moderators on JI was interesting in the reversal effects produced.

For centuries, gratitude has represented an integral component of social relationships, yet it remains relatively overlooked by marketing scholars in the study of commercial relationships. The purpose of this paper is to demonstrate how gratitude helps to build, maintain and transform commercial relationships and to suggest noteworthy areas of investigation for those researchers seeking to help companies understand the role of gratitude in relationship marketing.

Gratitude's role in relational exchange is explored by a review of relevant literature and two qualitative studies. Questions developed from the literature and exploratory interviews are then investigated in a main study through in-depth interviews with buyers and sellers of goods and services in both B2B and B2C contexts, leading to a grounded theoretical foundation. Generalizations and directions for future research are presented.

Gratitude is a fundamental component of buyer-seller relationships and is critical for advancing relationship marketing theory and practice. Gratitude's changing role as relationship stages advance is described.

The research is of an exploratory nature. Confirmation of the generalizations by other studies is suggested. This research is largely consistent with that from a markets-as-networks perspective and moves relationship marketing research toward a more extended view.

Gratitude should be included along with other relational mediators in discussions and investigations of relationship success, and practiced by those that seek to build, develop and enhance their buyer-seller relationships.

This paper provides a much needed exploration of a new and important topic in relationship marketing and a call for gratitude to be studied and implemented in a variety of relational exchange contexts. Specifically, it is the first to address the importance of gratitude to both buyers and sellers in B2B and B2C goods and services markets. It also is the first to document the changing role of gratitude through relationship stages.

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.

The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.

The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.

The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.

The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.

The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.

Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.