scholarly journals Let’s Talk about TEX—Understanding Consumer Preferences for Smart Interactive Textile Products Using a Conjoint Analysis Approach

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3152 ◽  
Author(s):  
Julia Offermann-van Heek ◽  
Philipp Brauner ◽  
Martina Ziefle

Interactive textiles are reaching maturity. First technology augmented textiles in form of clothes and furnitures are becoming commercially available. In contrast to the close link between technological development and innovations, future users’ acceptance and usage of such interactive textiles has not been integrated sufficiently, yet. The current study investigates future users’ consumer behavior and acceptance of interactive textiles using a scenario-based conjoint analysis study, which was presented in an online questionnaire ( n = 324 ). Two prototypical interactive textiles were focused on: a smart jacket and a smart armchair. To assess the textile products, the participants had to choose the preferred product alternative consisting each of the acceptance-relevant factors “connectivity”, “input modality”, “feature range”, “usability”, and “ease of cleaning”and their respective levels. The results revealed that the “ease of cleaning” is the most important decision criterion for both textile devices (even more important for the smart jacket), followed by “feature range”, “connectivity”, and “usability”. In contrast, the “input modality” is perceived as least important. The study also identified user profiles based on the projected consumer behavior (“adopters”, “rejecters”, and “undecided”) for both products. Besides the differences in product evaluation and projected consumer behavior, the user groups are significantly influenced by the individual affinity to textiles (both products) and gender (smart jacket). The findings are used to derive design and communication guidelines referring to interactive textiles in order to incorporate users’ needs, wishes, and requirements into future products.

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Helviani Helviani ◽  
Sitti Aida Adha Taridala ◽  
Azhar Bafadal ◽  
Budiyanto Budiyanto

Sago is a potential source of food with high calories and carbohydrates (rice equivalent). Sago consumer preferences can provide important information in making marketing strategy sago, and also is one of the indicators of market demand for the products of sago. The purpose of this study were to understand the srage of the purchase decision process undertaken by consumers of sago; analyze the level of customer satisfaction with sago attributes associated from sago; and analyze the consumer preference for various atrributes inherent in sago. The study was conducted in Kendari, Southeast Sulawesi Province. Respondents were all members of a population of 21 respondents consisting of 15 restaurant owners who provide meals made from sago and 6 owners agro-industry made from raw sago. The study used Engel Model Analysis, Costumer Satisfaction Index (CSI) Analysis, and Conjoint Analysis. The results of the analysis gives an overview of some consumer behavior based on the decision-making process shows that the benefits sought in the purchase buy sago sago is as a raw material to be processed into a menu of traditional food and traditional cakes Kendari. Color sago is the main thing, which will be seen and considered by consumers to make purchases between and will buy sago in traditional markets as close to the place of business. The level of consumer satisfaction in this study were satisfied with the preference category that consumers like sago with normal color (pure white), normal scent (odorless), low prices and package sizes are 20 kg. The resulting combination of sago four attributes (color, flavor, price and package sizes) is acceptable to describe consumers' desire sago in Kendari. Keywords: consumer behavior; sago; Engel Model; Customer Satisfaction Index (CSI); conjoint analysis


2021 ◽  
Author(s):  
Irfianti Nur Jannah ◽  
David Sukardi Kodrat

The market growth of modest fashion products is increasing. Rajini uses this opportunity by developing modest fashion products. The purpose of this study was to discover and analyze which attributes most affect the purchase of modest fashion products by consumers. The results were used by Rajini to be more effective in developing modest fashion products. The study was conducted with 100 respondents using purposive sampling. Data collected were analyzed using conjoint analysis with the SPSS 25 programs. The preferred attributes in choosing modest fashion products included “neutral color”, “classic style”, “lightweight fabric” and “normal fit”. The most important decision criterion when purchasing modest fashion products was the aesthetic attribute “style”, followed by “color”, and then the functional attribute “fit”. The “fabric” attribute was perceived as least important. In order to better compete, Rajini needs to adjust consumer preferences in Surabaya according to the results of this study. Keywords: modest fashion, consumer preferences, conjoint analysis, color, style, fabric, fit


2021 ◽  
Vol 924 (1) ◽  
pp. 012030
Author(s):  
K Fibrianto ◽  
R Muthifalyza ◽  
S S Yuwono

Abstract Coffee leaf tea is a traditional drink obtained by processing coffee leaves and served as tea. Coffee leaf tea is often found in West Sumatra, known as kawa daun. However, coffee leaves have not been widely known in the general public so that coffee leaf tea consumers are rarely encountered. In this study, an analysis was carried out to see consumer preferences for coffee leaf tea. Coffee leaves as a by-product have been declared as a novel food by EU Commission in 2020. Thus, coffee leaf tea products have potential economic value that can be promoted. To determine consumer preferences of Indonesian coffee leaf tea, a descriptive analysis of the consumer using online questionnaire was conducted, followed by conjoint analysis and one-way ANOVA test. As resulted from conjoint analysis, the preferences of Indonesian coffee leaves tea consumer were sequentially driven by level of sweetness, darkness of the colour, and the strength of fragrant. It was observed that gender strongly affected the preference on coffee leaves tea (p-value<0.05).


2021 ◽  
Vol 316 ◽  
pp. 01016
Author(s):  
Yustha Fauziyah Firdaus ◽  
Zuhud Rozaki ◽  
Mohd Fauzi Kamarudin ◽  
Muhamad Aziz Proklamalatu ◽  
Sri Sari Utami

Unlike the earlier generation, millennials are known to have different tastes and preferences due to their exposure to the digital world around them and consumer behaviorism. This study aims to investigate the preferences of millennials as consumers for the modern Bakpia products with focus on their consumer preferences and tendencies. This study was carried out using online questionnaire, descriptive methods and Conjoin analysis involving 96 millennials. Descriptive analysis and conjoint analysis were used to analyse data. The results show that the profile of millennials as consumers in this study consist of female participants aged 21-25 years who are students and has an income of less than IDR 1,000,000. The study also found that the millennials preference towards modern Bakpia products include factors such as taste, price and packaging attributes. Additionally, the most preferred Bakpia flavour is Chocolate and the preferred packaging is rectangle of 10 pcs. The study ends with suggestions for producers of Bakpia towards capturing the millennial consumers because they do have high demand on bakpia with creative promotion and quality.


2019 ◽  
Vol 32 (1) ◽  
pp. 73-84
Author(s):  
Xiaoxi Zhou ◽  
Yunhao Xu

Purpose In the process of designing new clothes, designers should identify specific user groups’ preferences and attitudes toward certain types of design, ascertain the design elements that make clothes popular in the market, and combine these elements to devise the best clothing design scheme. The purpose of this paper is to discover which design elements influence dress purchases and how age affects consumers’ choices in regard to these elements. Design/methodology/approach This study uses conjoint analysis in dress design to provide an effective method for designers to identify consumers’ preferences. First, the important attributes and attribute levels of dress design were determined. Next, the experimental samples for the attitude measurement chart were generated by orthogonal design. Finally, the data of 318 samples were analyzed by conjoint analysis to determine consumers’ preferences. Findings The results revealed that the “silhouette” attribute is the most important decision criterion for dress purchase, followed by the “dress length” attribute. In contrast, the “waistline height” attribute is perceived as least important. The study also identified the dress design features’ preferences of consumers of different ages. According to the results of the analysis, user groups’ preferences and acceptability regarding different design features were revealed, and the favorite dress design portfolio for age-specific consumers was obtained. Originality/value Currently, there is little information in the literature about consumers’ preferences regarding dress design. In this study, the use of conjoint analysis reveals and visualizes complex statistical results. This research approach is also applicable to the design and decision-making processes used for other apparel, and it can help designers better incorporate different users’ needs into clothing design.


Author(s):  
Annika Lonkila ◽  
Minna Kaljonen

AbstractIncreasing concerns for climate change call for radical changes in food systems. There is a need to pay more attention to the entangled changes in technological development, food production, as well as consumption and consumer demand. Consumer and market interest in alternative meat and milk products—such as plant based milk, plant protein products and cultured meat and milk—is increasing. At the same time, statistics do not show a decrease in meat consumption. Yet alternatives have been suggested to have great transitional potential, appealing to different consumer segments, diets, and identities. We review 123 social scientific journal articles on cell-based and plant-based meat and milk alternatives to understand how the positioning of alternatives as both same and different in relation to animal-based products influences their role within the protein transition. We position the existing literature into three themes: (1) promissory narratives and tensions on markets, (2) consumer preferences, attitudes, and behavioral change policies, (3) and the politics and ethics of the alternatives. Based on our analysis of the literature, we suggest that more research is needed to understand the broader ethical impacts of the re-imagination of the food system inherent in meat and milk alternatives. There is also a need to direct more attention to the impacts of meat and milk alternatives to the practices of agricultural practices and food production at the farm-level. A closer examination of these research gaps can contribute to a better understanding of the transformative potential of alternatives on a systemic level.


2002 ◽  
Vol 31 (2) ◽  
pp. 157-170 ◽  
Author(s):  
R. Wes Harrison ◽  
Timothy Stringer ◽  
Witoon Prinyawiwatkul

Conjoint analysis is used to evaluate consumer preferences for three consumer-ready products derived from crawfish. Utility functions are estimated using two-limit tobit and ordered probit models. The results show women prefer a baked nugget or popper type product, whereas 35- to 44-year-old men prefer a microwavable nugget or patty type product. The results also show little difference between part-worth estimates or predicted rankings for the tobit and ordered probit models, implying the results are not sensitive to assumptions regarding the ordinal and cardinal nature of respondent preferences.


2015 ◽  
Vol 137 (9) ◽  
Author(s):  
Brian Sylcott ◽  
Jeremy J. Michalek ◽  
Jonathan Cagan

In conjoint analysis, interaction effects characterize how preference for the level of one product attribute is dependent on the level of another attribute. When interaction effects are negligible, a main effects fractional factorial experimental design can be used to reduce data requirements and survey cost. This is particularly important when the presence of many parameters or levels makes full factorial designs intractable. However, if interaction effects are relevant, main effects design can create biased estimates and lead to erroneous conclusions. This work investigates consumer preference interactions in the nontraditional context of visual choice-based conjoint analysis, where the conjoint attributes are parameters that define a product's shape. Although many conjoint studies assume interaction effects to be negligible, they may play a larger role for shape parameters. The role of interaction effects is explored in two visual conjoint case studies. The results suggest that interactions can be either negligible or dominant in visual conjoint, depending on consumer preferences. Generally, we suggest using randomized designs to avoid any bias resulting from the presence of interaction effects.


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