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To evaluate current apparel industry Misses grading practices in providing good fit and propose grading practices to improve fit.

Participants representing Misses sizes 6‐20 based on ASTM D 5585 were selected. The fit of garments from traditionally graded patterns was assessed. Garments were fit‐to‐shape on participants. Traditionally graded patterns were compared to fit‐to‐shape patterns using quantitative and qualitative visual analysis.

Current apparel industry grading practices do not provide good fit for consumers. The greatest variation between the traditionally graded patterns and the fit‐to‐shape patterns occurred between sizes 14 and 16. For size 16 and up, neck and armscye circumferences were too large and bust dart intakes were too small.

This study was limited to a sheath dress in Misses sizes 6‐20. Future research should assess the fit of garments from traditionally graded patterns for other size ranges.

Multiple fit modes are needed in a range of more than five sizes. The fit model should be at the middle of a sizing group that does not range more than two sizes up or down.

There are few studies on apparel grading that test fit of actual garments on the body. The analysis documents the real growth of the body across the size range and suggests that changes in body measurements and shape determine the fit of a garment. These findings impact future research in apparel and the practices of apparel manufacturers.

The paper seeks to explore home sewers' satisfaction with the fit of garments made from home sewing patterns and to provide useful information to the home sewing industry to improve products and services for the target consumer.

Home sewers attending home sewing expos in the states of Minnesota and Washington were surveyed to determine satisfaction with fit of home sewing patterns and to determine factors that may affect satisfaction with the patterns.

The results clearly indicate that these respondents were frustrated with the fit of home sewing patterns and that their efforts to adjust patterns for better fit were typically not successful.

The limited sample does not allow generalization, but may lend some insight into problems the home sewing pattern industry may have in attracting and maintaining customer loyalty.

Although there are many studies demonstrating consumer dissatisfaction with the fit of ready‐to‐wear apparel, few studies have focused specifically on the home sewing pattern industry. This industry could benefit from further understanding of its customer base.

Enhancing agricultural productivity is imperative for sustainable food production and aligns with the objectives of SDG2 target 2.3. This target aims to achieve a twofold increase in agricultural productivity by doubling the volume of production per labour unit by 2030. Higher education institutions have actively engaged in leveraging information, technology, and promotional strategies to bolster agricultural productivity in developing nations, contributing to the broader SDG2 Zero Hunger agenda. However, limited research addresses the impact of heavy rainfall on productivity, utilising robust methodologies such as differences-in-differences and advocating for prospective causal investigations. This study specifically investigates the repercussions of heavy rain on Peruvian sugar companies, utilising data from the Lima Stock Exchange and the National Institute of Statistics for 18 companies spanning 2014 to 2017. Emphasising the negative consequences of heavy rain in 2017 attributed to the El Niño phenomenon, the research underscores regional variations, particularly noting heightened adversities for sugar companies in Northern Peru. This study not only elucidates the factors contributing to these negative consequences but also suggests diverse research approaches for comprehensive understanding and causal impact assessments, contributing significantly to interdisciplinary research in disaster management and impact economic evaluation. As an imperative step towards achieving Zero Hunger goals amid the prevailing climate emergency, the study concludes by presenting recommendations to mitigate the challenging effects of El Niño on the agroindustry.

One of the fastest growing segments of the American adult population is adults over 65‐years old. This group is refereed to as “silver seniors.” Understanding the silver citizen market requires an in‐depth knowledge of seniors' attitudes and lifestyles. The purpose of this paper is to present an in‐depth view of the senior woman's self‐concept, lifestyle, and apparel‐related preferences and shopping behaviors.

Using findings from an extensive review of literature and in‐depth interviews with 20 women over age 65, this exploratory research provides insight into the impact of self‐concept, lifestyles, and fashion behaviors on apparel purchase decisions. The qualitative approach used for data collection and analysis provides rich insight into the behaviors and apparel needs of “silver seniors.” The tripartite self‐concept is explored as it relates to fashion attitudes and behaviors.

Findings from this paper indicate that women over 65 are still interested in fashion and that looking fashionable for themselves and others is important. Insights into the specific unmet apparel and retail needs of senior adult women are explored. Findings indicate that senior adult women continue to remain physically and socially active and have need for a variety of garments. Recommendations for apparel manufacturers and retailers targeting this lucrative segment are presented.

This paper is original to the retailing and consumer behavior literature. One of the benefits of this exploratory study is that it provided the authors with an opportunity to examine, in theory and practice, an overlooked yet growing segment of apparel consumers.