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South Africa’s wool industry plays an important role in the agricultural sector. The wool industry provides a valuable source of income for farmers who practice sustainable farming practices. However, wool farmers face numerous challenges, such as wool contamination, dirty wool and producing good-quality wool. Good-quality wool is determined by fibre diameter, clean yield, vegetable matter and staple length. This study aims to address these challenges.

A multiple regression analysis of price (R/kg) of White wool and Merino wool was applied to four variables fibre diameter: vegetable matter, clean yield and staple length. The analysis was based on the data for the 2009–2019 data from Cape Wools auctions.

Fibre diameter, clean yield and staple length, with exception of vegetable matter, made a statistically significant contribution to the determination of wool price after all other independent variables were controlled for (p < 0.05). A one-unit (micron) increase in fibre diameter resulted in a 0.404-unit decrease in wool price (R/kg). A one-unit (mm) increase in staple length resulted in a 0.022-unit increase in wool price (R/kg). There was no statistically significant association between vegetable matter and wool price. A one-unit increase in clean yield was associated with a 0.111-unit increase in wool price (R/kg).

Since wool fleeces consist of the largest portion of wool shorn from sheep, it is important for wool farmers to focus on wool with low fibre diameter, high clean yield percentage, low percentage of vegetable matter content and good length of the wool.

Since wool fleeces consist of the largest portion of wool shorn from sheep, it is important for wool farmers to focus on wool with low fibre diameter, high clean yield percentage, low percentage of vegetable matter content and good length of the wool.

In a developing country such as South Africa, this study is important for the following reason. It is understanding the wool characteristics that have the most significance influence on the determination of wool price for Merino wool and White wool might effectively help the wool farmers to adapt their production systems to improve the wool characteristics that determine wool price.

This study identified a need for a study to be conducted on all wool classes.

This paper aims to explore consumer perception of “brand voice” authenticity, brand authenticity and brand attitude when the source of text is disclosed as either artificial intelligence (AI)-generated or human-written.

A 3 × 3 experimental design using Adidas marketing texts disclosed as either “AI” or “human”, or not disclosed was applied to data gathered online from 624 English-speaking students.

Text disclosed as AI-generated is not perceived as less authentic than that disclosed as human-written. No negative effect on brand voice authenticity and brand attitude results if an AI-source is disclosed.

Findings offer brand managers the potential for cost and time savings but emphasise the strong effect of AI technology on perceived brand authenticity and brand attitude.

Results show that brands can afford to be transparent in disclosing the use of AI to support brand voice as communicated in product description or specification or in chatbot text.

Environmental sustainability (ES) is a vital issue in recent times as higher education institutions (HEIs) are expected to have significant environmental impacts. This study aims to explore the ES attitudes in three different HEIs in Bangladesh based on student perception.

Primary data from 200 respondents of 3 HEIs through a questionnaire survey has been collected. The questionnaire was designed to collect data on six criteria: awareness, concern, attitude, willingness to participate and recommendations about campus ES. Pearson's chi-square (χ²), Fisher's exact test statistic, one-way analysis of variance and Spearman's correlation have been used to measure difference and correlation in SPSS.

Though students are aware of ES, only 21% are concerned about the issue. In total, 68% of respondents agreed that campus ES is not a responsibility of authority alone and that others have a role to play; 24% of students do not even know about recycling practices; and 73% of the respondents suggested that knowledge-sharing seminars/conferences could be the best way to improve the campus's ES.

A top-down planning approach excludes students from decision-making and direct engagement in Sustainable Campus building. Including student perceptions in planning assists policymakers and smooths the path to a more sustainable campus.

This study contributes to the existing literature by providing insight into students' perceptions of sustainability practices in the campus environment.