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The purpose of this paper is to examine current approaches to interpretation of student evaluation data and present an innovative approach to developing benchmark targets for the effective and efficient use of these data.

This article discusses traditional approaches to gathering and using student feedback across the tertiary sector. The limitations of the customary use of the statistical mean as a quality measure of performance are presented and examined. An alternative method of interpreting student evaluation data is proposed and examples given.

The traditional use of the statistical mean to interpret student evaluation data has limitations. Focusing on data at the macro level provides subject teaching staff and managers with a clearer indication of student satisfaction. The use of a percentage satisfied and percentage dissatisfied metric to classify and rank subjects is presented as an efficient alternative to the traditional approach, while recognising the value of the statistical mean to interpret data at the micro level.

In light of the important role student feedback plays in determining university ranking, prioritising staff development and its potential function as an academic performance indicator, the effective interpretation of student evaluation data is critical. As economic factors become increasingly important to higher education providers, the role of evaluation data obtained from students will continue to gain traction. The identification of methods to fully capitalise on the value of these data, such as the one proposed in this article, is therefore crucial.

Across the United States (US), COVID-19 vaccination coverage was lower in rural counties compared to urban counties, exacerbating rural health inequities. While rural communities fall short of the public health goal to vaccinate all who are eligible, most rural residents have chosen to vaccinate for COVID-19. The aim of this study was to better understand rural New Mexicans' attitudes and beliefs about COVID-19 vaccines.

We conducted and analyzed 51 in-depth, semi-structured interviews with adults living in rural New Mexican counties, covering a range of topics related to the pandemic, including vaccines. These interviews were conducted in the Summer of 2021 after the vaccines were widely available to all adults over the age of 18 and youth between the ages of 12–17, but not yet available for children under 12 years.

Two major perspectives were identified: (1) the idea that COVID-19 vaccinations are a tool that individuals can use to achieve freedom and protection and (2) the view which regarded vaccines as an infringement of personal rights and one's autonomy of health. For people who viewed the vaccine as a tool for freedom, several themes emerged, including (1) a preference for vaccine manufacturers, specifically a preference for Pfizer, and (2) frustrations related to vaccine access, specifically, older adults expressed frustrations with the difficulty of scheduling vaccination appointments. However, most participants felt as though they had enough vaccination resources. For people who viewed vaccines (and vaccine mandates) as limiting their freedom, additional themes emerged: (1) overarching distrust of government and the perception that vaccines were an extension of government and (2) distrust in the vaccines themselves, including a perceived lack of research on the vaccines and a perception that the vaccine was developed in too short of a period. Some of the people who hold these beliefs are also vaccinated. We draw from social psychology theories to better understand how people who hold a rural identity come to establish different beliefs and practices compared to larger metropolitan regions. While political identity is a contributor, of our participants, the group who were most likely to report not being vaccinated were the “independent” or “unaffiliated voters.” Our findings can help craft culturally responsive vaccine initiatives for rural communities.

This study investigated the visibility of carbon emissions allowances accounting in the financial reports of 32 clean development mechanism (CDM) projects in the UAE to uncover the obstacles to setting consistent standards for carbon emission accounting. As carbon emissions are monetized as credits, consistent accounting standards can aid decision-makers in the development of carbon emission mitigation strategies.

This study used a grounded theoretical framework for exploring the terms used in the policy documents of international accounting bodies regarding accounting standards and guidelines for carbon emission credits. Raw qualitative data were gathered, and an inductive approach was used by analyzing documents from various sources using the qualitative data text analysis software QDA Miner 6.

The findings showed that the financial statement reports of the corporations did not include disclosure of the carbon credit account. This omission was due to the lack of global standardization of carbon credit accounts and emission allowance recognition. This may hinder the production of a comprehensive report containing accurate and valuable financial information relevant to all stakeholders.

The study is among the first to use a grounded theoretical framework to investigate whether corporations are applying common standards and guidelines for carbon emissions accounting.

The study addresses the effect of product usage, satisfaction derived out of the same and the brand switching behaviour in several product categories while looking at the product involvement level in the Indian marketplace. A fair amount of work has been done in the area of customer satisfaction and loyalty and many customer satisfaction indexes are available in the market using different variables and characteristics. The study attempts to understand the brand switching behaviour of the customers and its relation not with just satisfaction derived out of the product but also connects to the usage pattern of the customers and product involvement. Five categories (vehicles, television, soap, hair oil, and ice cream), involving varying levels of involvement were chosen. Cluster analysis was used to understand the grouping of the characteristics across the categories and their effect on brand switching behaviour in correlation with satisfaction and involvement level. It was observed that product usage and related level of satisfaction fail to explain the brand switching behaviour. Product involvement was found to have moderate impact on readiness to switch. The study emphasises that marketers will have to keep a constant eye to understand the usage pattern associated with their products and the satisfaction derived out of it and also at how customers involve themselves with the product to lessen the brand switching behaviour among their customers.