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The purposes of this study were twofold: (1) to develop a scale for measuring consumers' perceived problems of finding a good fit (PFGF) and (2) to provide evidence of several types of scale validities including nomological validity through examining the relationship between PFGF and body esteem based on attribution theory.

Scale development took place in three steps: (1) An initial pool of items was generated based on a previous study; (2) preliminary quantitative tests of reliability and validity of items were performed, including confirmatory factor analyses (CFAs); and (3) final scale validation through a discriminant and nomological validity test was conducted using CFA and the structural equation model (SEM). CFAs and SEM with the mediation effect were performed using Preacher and Hayes' (2008) bootstrap procedure in Mplus.

Of the 20 items (four items for physical, eight items for aesthetic and eight items for functional) generated in Step 1, a total of 14 items (four items for physical, five items for aesthetic and five items for functional) were remained through preliminary tests of reliability and validity of the scale in Step 2. In Step 3, the 14 items were finalized and validated through testing the hypothesized mediating effect of internal attribution of fit problems between the PFGF scale and the measures of body esteem. The results of consumers' internal causal attribution process of fit problems supported attribution theory.

The study contributes to understanding consumer fit perceptions by developing a scale to assess PFGF that may be a key factor influencing multiple apparel shopping behaviors. The multidimensional scale of perceived PFGF should be useful to provide solutions to PFGF based on information from customers. Better understanding of perceived PFGF will ultimately increase consumer satisfaction with apparel.

The study explores the extent to which business analytics can address business problems using the task-technology fit theory.

The qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.

The study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.

Extant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.

This research aims to develop an effective and efficient algorithm for solving the curve fitting problem arising in automated manufacturing systems.

This paper takes curve fitting as an optimization problem of a set of data points. Expressing the data as a function will be very effective to the data analysis and application. This paper will develop the stochastic optimization method to apply to curve fitting. The proposed method is a combination optimization method based on pattern search (PS) and simulated annealing algorithm (SA).

The proposed method is used to solve a nonlinear optimization problem and then to implement it to solve three circular arc‐fitting problems of curve fitting. Based on the analysis performed in the experimental study, the proposed algorithm has been found to be suitable for curve fitting.

Curve fitting is one of the basic form errors encountered in circular features. The proposed algorithm is tested and implemented by using nonlinear problem and circular data to determine the circular parameters.

The developed machine vision‐based approach can be an online tool for measurement of circular components in automated manufacturing systems.

This paper aims to investigate fit problems with some ready-to-wear garments, analyse the body measurements of Ethiopian young female consumers and draw implications for the improvement of ready-to-wear garment fit.

A random sample of 970 university students aged 18–35 years were interviewed, and their 35 body dimensions were measured manually according to the procedures in ISO 8559: 2017. The fit problems and body measurements were examined with the body mass index (BMI) and ethnicity of the subjects. Moreover, 15 body dimensions were compared with that of Chinese and US females of similar age.

The results showed that fit problems are frequent in lower garments for underweight consumers. Nearly consistent and smaller differences in body measurements were observed with BMIs and ethnicity of the subjects, while inconsistent and larger differences were found among the subjects from the three countries. The Ethiopian subjects were smaller than the Chinese in height and weight, between the Chinese and US females in most body measurements, and larger than the US subjects in across shoulder and arm and shoulder lengths. The results alarm the need for the development of Ethiopian national garment size standards.

The paper relates ready-to-wear garment fit issues to demographic factors and demographic factors to body measurements. Moreover, it considers young female consumers in Ethiopia, an African country with less explored consumer needs for clothing.

Body positivity movement empowered plus-size women globally to speak up boldly about their clothing needs. Retailers cannot satisfy this group with some classic style offerings anymore. By taking clue from existing literature, this study aims to identify clothing preferences and problems related to ready-made plus-size clothing in India. Although many past literature pointed out about poorly fitted and size unavailability issues worldwide, very few of them addressed about clothing style preferences.

A self-administered close-ended questionnaire was used to answer a set of objectives. A pilot study with 40 plus-size women was carried out to check the reliability and validity of the instrument. Four hundred subject's data were gathered from six Indian cities with a purpose of varied geographical importance. Statistical tests like binomial distribution was used to analyze fit-related problems of 12 bodily sites such as shoulder, upper arm, lower arm, bust, waist, stomach, abdomen, hip, thigh, lower leg, armhole and elbow, and frequency charts were used to examine Likert scale data of sizing problems. The choices of 12 clothing styles were mapped through four factors which affect the purchasing decision of a plus-size woman.

Poor-fitted clothes at 10 body sites out of the 12 reflected about the fit aspect of plus-size clothing in India. Findings associated to sizing issues like unavailability of trendy clothes in appropriate sizes, which also adorn Indian curvy figure, shows synonymy to the worldwide researcher's findings related to sizing chaos. Classic silhouettes like Straight Indian kurti, A-line dresses and regular-fit trousers were majorly preferred by women. Hiding body bulges was mostly preferred while purchasing loose-fitted garments, and fitted garments were preferred only if these suits to the curvy body proportion. Appropriate fit and size availability are always a prime requisite for this class of women.

The outcomes of research will help Indian retailers/manufacturers to update their patterns in order to provide desired fit. In this lacuna of standard size chart, the study will add value in the development of Indian plus-size women's size chart. The factor mapping with clothing preferences will be useful to reduce rejections and inventories.

The purpose of this study is to evaluate fit of the basic garments made for Taiwanese female students with various figure characteristics. The basic garments are produced according to patterns derived from the PDS 2000 and APDS‐3D systems.

This study recruited ten Taiwanese female subjects who represented various figure characteristics. After scanning each subject, the body measurements with additional functional ease were manually entered into the APDS‐3D system accompanied with the PDS 2000 system to generate the block patterns. These patterns were used to make basic garments worn on the subjects for fit evaluations. T‐test and one‐way ANOVA were employed to investigate if any statistically significant differences between figure characteristics of subjects exist.

After statistical analysis, results showed that the percentage of tolerance allowed by the system in preventing incorrect measurements has to be revised and more measurements have to be included into the APDS‐3D system. Furthermore, female students who exhibit multiple figure variations complicate fitting problems. For example, sloped‐shoulder subjects with narrow shoulders and forward stance generate the problem of extra fabric gathering at the shoulder tips as well as looseness at the upper chest. Therefore, figure variations have to be analyzed in a future study.

The convenient sample with limited size does not allow generalization of figure variations associated with fit problems in all colleges or universities located in Taiwan.

Few researchers have analyzed fit problems on garments made for females with figure variations, but none of them use 3D body scanners in combination with computer‐aided design systems to test fit on basic garments for females with various physical characteristics.

The purpose of this study was to explore body shapes among overweight and obese men and examine fit issues based on the current ASTM sizing standards related to the categorized body shapes.

The SizeUSA data and the additional data extracted using the ImageTwin (TC2-19) software were used. To categorize body shapes, principal component (PC) analysis with varimax rotation, hierarchical cluster analysis for an elbow method and K-mean cluster analysis were employed. Comparing the categorized body shapes and ASTM sizing charts, a cross-tabulation was performed to test associations between fit analyses for top and bottom for the body shape groups. Furthermore, an analysis of variance and pairwise comparison were performed to identify differences in mean values of size drops between two body parts across the different body shape groups.

Using a three-dimensional (3D) body scanning technology and 3D virtual avatars, three body shapes for overweight and obese men emerged: Rectangle-curvy, bottom hourglass-hip tilt and top hourglass-straight shapes. Further, overweight and obese male consumers are not likely to find a perfect fit from apparel companies who developed their sizing charts based on the men's and big men's ASTM standards. Notably, the big men's ASTM sizing standard did not work for most overweight and obese men the United States.

Despite the notable increase in the US population that is overweight and obese, most overweight and obese men have had fit problems due to the differences in their body shapes as compared to the standardized body shape used in the current sizing system. The results of this study suggest apparel companies who are targeting overweight and obese male consumers in the United States updating their sizing systems in order to solve fit problems.

The paper seeks to investigate fit preferences of female consumers in the USA based on the relationship between their fit preferences, body cathexis, fit problems, and personal profiles.

Female subjects (n=1,026) between the ages of 19 and 54 were asked to respond to a questionnaire that was mailed to subjects. The questionnaire was used to evaluate consumer fit preferences for individual garment categories (jackets, pants, skirts, blouses, and jeans) relative to respondents' personal profiles, body shape, and body cathexis. Terminology, fit issues, and elements of fit expressed as important to female consumers as identified in an initial focus group which was part of a larger study associated with this research were considered in development of the questionnaire.

Eighty percent of the sample reported two or more areas of the body where fit problems occurred. One‐third of the respondents altered up to 25 percent of RTW. Semi‐fitted preferences for clothing were reported most often. A significant relationship was found between women who scored high on the body cathexis scale and those who desired more fitted clothing. Body shapes were fairly evenly distributed among all age categories, except for the 19‐35 year old respondents who were more likely to have an hourglass silhouette.

This methodology involved a self‐report of several variables. Items such as body measurements and body shape were subjective. Answers could be inaccurate because of respondents' lack of knowledge of their measurements or their desire to represent a more ideal figure for themselves. Using 3D body scanning to verify body measurements and body shape could provide more accurate results.

The issue of the fit in apparel is critical for both industry and academia. Academia has traditionally examined fit based on expert analysis and is just beginning to investigate the importance of fit from the consumer's viewpoint. In the product development area, industry needs to be able to go beyond just body measurements to incorporate fit preferences based on categorical profiles of consumer groups.

As a construct, fit is difficult to study. This paper identifies variables, constructs a stimulus and investigates women's preferences for fit in various garment categories.

Sizing system is a fundamental topic in garment fitting. The purpose of this study was to assess the fit of existing police uniforms (shirt, jacket, overcoat and trousers) and develop a sizing system for upper and lower body uniforms of Amhara policemen in Ethiopia.

In total, 35 body dimensions of 889 policemen were taken through a manual anthropometric survey following the procedures in ISO 8559:1989 after each subject was interviewed on issues related to garment fit. The anthropometric data were pre-processed, key body dimensions were identified by principal components analysis and body types were clustered by the agglomerative hierarchical clustering algorithm and verified by the XGBoost classifier in a Python programming environment. The developed size charts were validated statistically using aggregate loss and accommodation rate.

About 44% of the subjects encountered fit problems every time they own new readymade uniforms. Lengths and side seams of shirts, and lengths and waist girths of trousers are the most frequently altered garment sites. Analysis of the anthropometric measurements resulted in 13 and 15 sizes for the upper and lower bodies, respectively. Moreover, the comparison of the developed upper garment size chart with the existing size chart for a shirt showed a considerable difference. This indicates that inappropriate size charts create fit problems.

The study considers the analysis of fit problems and sizing system development in a less researched country. Moreover, the proposed data mining procedure and its application for size chart development is unique and workable.

The purpose of this study was to assess the body characteristics (body size, garment sizes worn, shape and body satisfaction) of Ethiopian young adult female consumers and their effects on garment fit satisfaction and fit preferences of ready-to-wear garments such as T-shirts, blouses/shirts, skirts and jeans trousers.

Through a structured questionnaire, 418 usable responses were collected from young female university students. One-way analysis of variance (ANOVA) and multivariate ANOVA (MANOVA) were used to examine differences in garment fit satisfaction with the body characteristics of the respondents. Moreover, a multiple regression analysis was used to determine the effect of body characteristics and fit satisfaction on fit preferences in four of the ready-to-wear garments.

The body shapes of above half of the respondents were either bottom hourglass or spoon. The respondents were somewhat dissatisfied with the fit of the ready-to-wear garments, and above 70 per cent of them faced fit problems on average. BMI showed significant fit satisfaction differences in four of the garments, while garment sizes worn were significant only in skirts. However, no statistically significant difference was obtained with body shape. The effect of body characteristics and fit satisfaction on fit preferences was found significant in T-shirts and jeans trousers. The respondents preferred looser shirts and skirts irrespective of their body characteristics.

The paper is unique in comprehensively examining the relationship between body characteristics and garment fit satisfaction and their effects on fit preferences in selected garments in the context of female consumers in a developing country.