Academic literature on the topic 'Product attributes'

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Journal articles on the topic "Product attributes"

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Hidayat, Khoirul, Mohammad Fuad Fauzul Mu'tamar, R. Arief Firmansyah, and Wahyudi Illahi. "Instant Corn Rice Product Development." Jurnal Teknik Industri 20, no. 2 (August 31, 2019): 117. http://dx.doi.org/10.22219/jtiumm.vol20.no2.117-127.

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The Madurese consumes corn as the primary source of carbohydrates. However, currently, they are experiencing a shift in consumption from corn to rice. It is caused by the availability of abundant rice. Moreover, another reason is the process of processing corn requires a relatively long time. The purpose of this research is to develop instant Madura corn rice. The method used in this research is the Quality Function Deployment (QFD) method. Based on the House of Quality matrix obtained 16 attributes of consumer needs both in terms of products and packaging. Highest Attributes of the needs of consumers are attributes without preservatives for the product aspect and presenting attributes for the packaging aspect. There are 17 attributes of technical requirements needed to meet the attributes of consumer needs. Highest priority The technical requirements are the corn type attribute for the product side and the font-size attribute for the packaging aspect. The results of product comparisons with competitors, Madura corn rice products have advantages in the yellow color attribute. Furthermore, It needs to be improved attributes about the texture a little soft.
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Hidayat, Khoirul, Mohammad Fuad Fauzul Mu'tamar, R. Arief Firmansyah, and Wahyudi Illahi. "Instant Corn Rice Product Development." Jurnal Teknik Industri 20, no. 2 (August 31, 2019): 13. http://dx.doi.org/10.22219/jtiumm.vol20.no2.13-23.

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The Madurese consumes corn as the primary source of carbohydrates. However, currently, they are experiencing a shift in consumption from corn to rice. It is caused by the availability of abundant rice. Moreover, another reason is the process of processing corn requires a relatively long time. The purpose of this research is to develop instant Madura corn rice. The method used in this research is the Quality Function Deployment (QFD) method. Based on the House of Quality matrix obtained 16 attributes of consumer needs both in terms of products and packaging. Highest Attributes of the needs of consumers are attributes without preservatives for the product aspect and presenting attributes for the packaging aspect. There are 17 attributes of technical requirements needed to meet the attributes of consumer needs. Highest priority The technical requirements are the corn type attribute for the product side and the font-size attribute for the packaging aspect. The results of product comparisons with competitors, Madura corn rice products have advantages in the yellow color attribute. Furthermore, It needs to be improved attributes about the texture a little soft.
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Walters, Daniel J., and Hal E. Hershfield. "Consumers Make Different Inferences and Choices When Product Uncertainty Is Attributed to Forgetting Rather than Ignorance." Journal of Consumer Research 47, no. 1 (November 14, 2019): 56–78. http://dx.doi.org/10.1093/jcr/ucz053.

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Abstract When a consumer realizes that information relevant to a consumption decision is missing, such uncertainty can be attributed to ignorance (i.e., the information has never been observed and is unknown) or to memory failure (i.e., the information has been observed and is forgotten). Although research has examined inferences about unknown attributes, no prior work has examined inferences about forgotten attributes. Across six experiments in the lab and in the field, we find that when uncertainty is attributed to ignorance, consumers often make inferences about unknown attributes based on existing correlational evidence (e.g., a brand comparison sheet that could indicate a positive or negative correlation between the unknown attribute and observable attributes). However, when uncertainty is attributed to memory failure, consumers tend to ignore such existing correlational evidence and instead make inferences about forgotten attributes that tend to be positively correlated with known attributes. This process occurs partly because when consumers believe that an attribute was forgotten, they falsely retrieve an impression about the attribute that tends to be consistent with their overall product evaluation. Overall, believing that an attribute is forgotten and believing that it is unknown can lead to opposite inferences and choices.
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Antonides, Gerrit, and Lies Hovestadt. "Product Attributes, Evaluability, and Consumer Satisfaction." Sustainability 13, no. 22 (November 10, 2021): 12393. http://dx.doi.org/10.3390/su132212393.

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We studied the determinants of consumer satisfaction with mobile phones on the basis of their perceived product attribute performance, and the disconfirmation of product attribute expectations. Disconfirmation refers to the discrepancy between the prior expectation about the performance of a product’s attributes, and its perceives realizations after purchase. Evaluability theory assumes that the perceived attribute performance has a larger effect on consumer satisfaction for easy-to-evaluate than for difficult-to-evaluate attributes, after product acquisition. Furthermore, we used predictions of the asymmetric evaluations of gains (product performs better than expected) and losses (product performs worse than expected) from prospect theory, in combination with evaluability theory. We studied how evaluability influences the effects of the asymmetric evaluations of both positive and negative disconfirmation of product attribute expectations on consumer satisfaction. Our empirical study included 3099 participants of Amazon Mechanical Turk. We found that negative attribute disconfirmation had a larger effect on satisfaction than positive attribute disconfirmation, which is in line with loss aversion theory. Although the perceived product attribute performance positively influenced satisfaction, we found little support for the effects of perceived attribute performance being influenced by attribute evaluability. However, our findings indicated that negative attribute disconfirmation influenced satisfaction to a greater extent for relatively difficult-to-evaluate attributes than for relatively easy-to-evaluate attributes. We discuss both theoretical and managerial implications of our findings.
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Utami, Christina Whidya, and Steven Willyanto Harjono. "Consumer Preferences for Attributes of Interest of Honey Products." Asian Business Research 2, no. 3 (November 6, 2017): 26. http://dx.doi.org/10.20849/abr.v2i3.212.

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In selling products is the main thing to note, because of the appeal of consumer products will be a consideration in buying consumer goods. The appeal may be packaging, taste, price, volume or other product attributes. To cultivate the right product attributes required preferences of consumers. The purpose of this research is to know the attributes and combinations of product attributes Borneo Hive the most preferred by consumers. This research uses a quantitative approach with an analysis conjoint use SPSS program 20.0. The sample used in this study is 50 consumers ever buy Borneo Hive and product attributes are examined is the packaging, volume and price. The results of this study showed that the most preferred product attributes consumers Borneo Hive is the volume of packaging and prices followed. And for the most preferred attribute combination is the glass packaging with a volume of 500 ml - 350 ml with the price of IDR 30,000–IDR.40,000.
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Wei, Qiang, Dong Lv, Yixin Lin, Dongmei Zhu, Siyuan Liu, and Yuting Liu. "Influence of Utilitarian and Hedonic Attributes on Willingness to Pay Green Product Premiums and Neural Mechanisms in China: An ERP Study." Sustainability 15, no. 3 (January 29, 2023): 2403. http://dx.doi.org/10.3390/su15032403.

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Green consumption is expected to become a new driving force for sustainable economic growth. The production cost of green products leads to the existence of a green premium, which affects the willingness to pay for green consumption. Moreover, willingness to pay is influenced by the product’s own attributes, such as its hedonic and utilitarian attributes. Our study used the event-related potentials (ERPs) technique to investigate how product attributes and premiums affect information processing and subsequent decision-making by comparing consumers’ acceptance of hedonic and utilitarian green products with different levels of premiums. Behavioral results indicated that consumers were more willing to pay premiums for utilitarian attributes than for hedonic attributes. ERPs results showed that hedonic attributes induced a greater P2 component, suggesting that price increases for hedonic products elicited more cognitive attention in the early cognitive stage and that the high premium condition did not match the hedonic attributes. In the late cognitive stage, where the utilitarian attribute induced higher N4, the consumers used the green consumption concept as a reason to reduce the negative emotions generated by the hedonic attribute and thus were more willing to accept the green premium for the hedonic product. The findings can be used to explain the psychological and neural activities of consumers at different stages when faced with the degree of product attribute-premium and help companies optimize their pricing strategies by using green products’ attributes.
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Elliott, A. C., E. Swain, and I. C. Wright. "Managing product development resources through the use of product quality attribute mapping." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 9 (September 1, 2003): 1229–41. http://dx.doi.org/10.1243/095440503322420151.

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A technique using product quality attribute mapping to assist product resourcing decisions is described. Primary data from respondents via quantitative questionnaire surveys of four different industrial manufacturing companies were collected and analysed. Care was taken with the data source and type of scales employed to ensure meaningful comparisons could be made. The first objective of the data analysis was to determine the importance of each of the companies' customers. This was followed by determining the importance of the product attributes to each customer. An overall perception of product attribute importance was obtained by combining the customer importance with the importance of product attributes. The respondents' perceptions of the competitive situation was then combined with the overall perception of product attribute importance to give a quality index for each product attribute. The derived picture product attributes relative to one another are shown by bubble maps indicating the position of the competitive index against attribute importance, with the quality index represented by the bubble size. The significance of these bubble maps, particularly in relation to resourcing decisions for the companies, is discussed. It is concluded that companies can use data in this form to guide product development in a quantifiable manner.
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Conrad, Megan O., and Vijitashwa Pandey. "Disability Distribution Modeling for Universal Product Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1106–10. http://dx.doi.org/10.1177/1541931213601881.

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Universal Design can be applied to product design as a means of increasing accessibility and usability of the product by the largest number of users possible. Product designers may tend to consider design attributes of a product line individually; however, it is not uncommon for an individual user to have several impairments affecting the ability to interact with individual product attributes. In fact, disability follows a continuum of severity and spans multiple attributes; two aspects that are particularly difficult to plan for in product design. Thus, we present a theoretical and experimental basis for designing universal products to (1) consider a multi-phased approach to measure the multi-attribute nature of disability for a specific disease population, (2) develop and execute a mathematical model relating disability attributes to product design, and (3) validate the model through product testing.
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Badruzaman, Dudi. "ANALYSIS OF CUSTOMER BANK BRI SYARIAH PREFERENCES OF CIAMIS BRANCH OFFICES ON FUNDING PRODUCT ATTRIBUTES." Mu'amalat: Jurnal Kajian Hukum Ekonomi Syariah 12, no. 1 (June 30, 2020): 11–22. http://dx.doi.org/10.20414/mu.v12i1.2048.

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This study analyzes the product attributes of fund collection that are the customer preferences of Bank BRI Syariah Ciamis Branch Office and analyzes the attributes that are most considered by customers in using fund collection products. The basic method of this research is descriptive. The method of analysis of customer preferences is the chi-square analysis and to analyze the attributes that are most considered by customers is the Fishbein multi-attribute analysis. It is known that customer preferences for product attributes of raising funds are a proportion of larger profit-sharing ratios for customers, many ATM network facilities, friendly service, affordable public transport office locations. Product attributes of fund collection that are considered by customers in using BRI Syariah fund collection products at the Ciamis Branch Office are locations with attitude index values ​​(Ao).
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Sun, Monic. "Disclosing Multiple Product Attributes." Journal of Economics & Management Strategy 20, no. 1 (February 24, 2011): 195–224. http://dx.doi.org/10.1111/j.1530-9134.2010.00287.x.

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Dissertations / Theses on the topic "Product attributes"

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Stokmans, Maria Johanna Wilhelmina. "The relative importance of product attributes : consumer decision theories in new-product development /." Delft : Delft University Press, 1991. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=003577796&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Wei, Yujie. "Future Orientation, Chronological Age and Product Attributes Preference." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/marketing_diss/5.

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This dissertation examines what motivates individuals to prefer certain types of product attributes over others. It is proposed that consumer preference regarding product attributes is fundamentally connected to an individual’s future orientation, i.e., how a person perceives, thinks about, and copes with time left in life. Specifically, it is posited that future orientations play key roles in shaping a person’s criteria in product evaluation. Thus, this dissertation seeks to integrate the study of future orientation with research on socio-emotional selectivity influences on consumption. Building on past research, this study proposes a conceptual model including four constructs: future orientations, chronological age, product evaluation, and preferences. An experimental study was used to investigate the research objectives and calibrate and validate the model. The experiment examines the moderating effect of future orientations and chronological age on consumer preference for hedonic vs. utilitarian attributes. The subjects were randomly assigned to one of two future orientations (expansive and limited) and one of two attributes contexts (hedonic and utilitarian). The sample for this study was drawn from consumers in Metropolitan Atlanta, Georgia. The research results will lead to an improved understanding of how preference varies from individual to individual and changes over time. In particular the research will provide insights about the impact of an individual’s future orientation on product attitude. The findings will advance current theory in both the new product evaluation and preference literature and have implications for the practice of marketing at levels of marketing strategy, product development, integrated marketing communications and loyalty programs.
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Cekceoglu, Engin. "Communicating Corporate Identity Through Form Attributes And Evaluating Visual Analogy Of Digital Cameras." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607864/index.pdf.

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The basic notion of this study is related with visual attributes of products which reflect the identity of the company as well as form and design consistency which is a factor forming corporate identity. The sub-notions of the topic are elaborated in the literature review. The efforts which aimed at finding out the distinguishing characteristics of products focused on certain sample products. Digital camera is selected for the field study. The objective of the study is to put evidence that firms can be distinguished from each other with the help of visual attributes of their products and to determine which factors are effective throughout this process.
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Gruber, Verena, Bodo B. Schlegelmilch, and Michael J. Houston. "Inferential evaluations of sustainability attributes: Exploring how consumers imply product information." Springer, 2014. http://dx.doi.org/10.1002/mar.20706.

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Consumers are often confronted with incomplete product information. In such instances, they can eliminate the product from further consideration due to higher associated uncertainty or ask for more information. Alternatively, they can apply subjective theories about covariation to infer the value of missing attributes. This paper investigates the latter option in the context of sustainability and provides an in-depth exploration of consumers' inference formations. Drawing from rich qualitative data, it offers a conceptualization of the underlying relationships consumers use to infer product sustainability based on other product attributes. The study further assesses whether these findings can be captured in a quantifiable way. To this end, inferred sustainability is conceptualized as a formative second-order construct, thereby depicting the influence of inference-triggering product attributes. (authors' abstract)
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Howell, Charles Baird. "Three Essays on Incorporating Service and Product Attributes into Economic Models." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/670575.

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L’objectiu d’aquesta tesi és explorar l’efecte de canviar les característiques del servei sobre el cost del producte, el preu i eventualment la rendibilitat, o en el cas d’un producte que sigui un servei, canviar les característiques de la prestació del servei. L’enfocament específic no està en les característiques físiques que poden diferenciar els productes (a la indústria aèria un vol de 200 milles davant un vol de 700 milles o a la indústria de la prestatgeria de 600 lb. capacitat de retenció vs 400 lb.), sinó a les característiques de la transacció i els serveis prestats com a part del producte. Al llarg de aquesta tesi ens referim a aquests productes genèricament com a “atributs de sortida” i utilitzem el terme “producte” per significar un producte o servei. Utilitzant un enfocament basat en costos i les eines d’anàlisi de la productivitat i l’eficiència, desenvolupem una mesura de la diferenciació del producte per l’atribut de producció i després utilitzem aquesta mesura per explorar com la inclusió de la mesura afecta tres models econòmics diferents. La indústria empírica dels tres capítols és la indústria aèria nacional dels Estats Units.
El objetivo de esta tesis es explorar el efecto de cambiar las características del servicio sobre el costo del producto, el precio y eventualmente la rentabilidad, o en el caso de un producto que es un servicio, cambiar las características del servicio. . del servicio. El enfoque específico no está en las características físicas que pueden diferenciar los productos (en la aerolínea un vuelo de 200 millas frente a un vuelo de 700 millas o en la industria de la plataforma 600 lb. capacidad de retención frente a 400 lb.), sino en las características de la transacción y los servicios prestados como parte del producto. A lo largo de esta tesis nos referimos a estos productos genéricamente como “atributos de salida” y usamos el término “producto” para referirnos a un producto o servicio. Utilizando un enfoque basado en costos y herramientas de análisis de productividad y eficiencia, desarrollamos una medida de diferenciación de productos por atributo de producción y luego usamos esta medida para explorar cómo la inclusión de la medida afecta tres modelos. diferente economica. La industria empírica de los tres capítulos es la industria aérea nacional de los Estados Unidos.
The goal of this dissertation is to explore the effect of changing service characteristics on product cost, price and eventually profitability, or in the case of a product that is a service, changing the characteristics of service delivery. The specific focus is not on physical characteristics that can differentiate products (in the airline industry a 200-mile flight vs 700-mile flight, or in the shelving industry 600 lb. holding capacity vs 400 lb.), but on the characteristics of the transaction and the services provided as part of the product. Throughout this thesis we refer to these generically as “output attributes” and use the term “product” to mean either a product or service. Using a cost-based approach and the tools of productivity and efficiency analysis, we develop a measure of product differentiation by output attribute and then use that measure to explore how the inclusion of the measure affects three different economic models. The empirical setting for all three chapters is the US domestic airline industry. The first chapter focuses on cost, introduces the measure of differentiation through attributes, and applies it to a model studying price dispersion. Previous studies show that competition affects price dispersion but disagree on the direction of change. To explain this contradiction, this chapter introduces a novel method of measuring product heterogeneity which collects the cost impact of the level of differentiation in a market. Applying this method, we find that the response of price dispersion to changes in competition is conditioned by differentiation. We empirically test our method on 73,981 observations of airfare data from 2002 through 2016. This chapter’s contributions are extending knowledge on the effect of competition on price dispersion and introducing a method of measuring market differentiation. The main objective of the second chapter is to study the effect of product differentiation on price formation in the airline industry using a hedonic model. For this purpose, we introduce the concept of a core product and examine how differentiation by output attribute beyond the core effects pricing and mark-ups. We measure differentiation from the core product using a Konüs type index of differentiation that is based on cost functions. In this chapter we study how using this index, measures of market power, and controlling for core product cost, can improve the stability and results of a hedonic price model. The model is empirically tested on 103,980 observations of quarterly US domestic airfare data between 2002 and 2016. The third chapter turns to the question of profitability. The US Airline industry swung from $31 billion in losses over the eight-year period 2002 to 2009 to $90 billion in profits over the seven-year period 2010 to 2016. This reversal of fortune was not driven by specific airlines but can be observed industry wide. To fully explore this change we decompose annual profitability change over the fifteen-year period and analyze the economic drivers, with a focus on the driver of product differentiation. The inclusion of product differentiation, an economic driver not typically included in the analysis of financial performance, is one of the primary contributions of this chapter. This chapter introduces a novel method of decomposing profitability change and uses the combination of a standard cost function paired with a non-standard revenue function. To fully understand this effect, we examine these financial performance measures for twenty individual carriers in the US airline industry between 2002 and 2016.
Universitat Autònoma de Barcelona. Programa de Doctorat en Economia, Organització i Gestió (Business Economics)
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Rhee, Young-Ju. "Online Impulse Buying Behavior with Apparel Products: Relationships with Apparel Involvement, Website Attributes, and Product Category/Price." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/39628.

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The potential use of the Internet for apparel retail marketing is extremely viable (Murphy, 1998); however, most of the journal papers on apparel Internet shoppers are limited to the comparison of demographic, psychographic, and behavioral characteristics between shoppers and non-shoppers (McKinney, 2004). Little empirical research has addressed the role of impulsiveness in online apparel shopping behavior. In the past, impulse buying was considered as something bad and consumers felt guilty after impulse buying (Ainslie 1975; Levy 1976). However, most researchers now no longer view impulse buying as a negative phenomenon because studies showed that impulse buying satisfies a number of hedonic desires (Piron 1991; Rook & Fisher 1995; Thompson, Locander, & Pollio 1990). Impulse buyers exhibited greater feelings of amusement, delight, enthusiasm, and joy (Weinberg & Gottwald, 1982) and often felt uplifted or energized after a shopping experience that involves impulse buying (Rook, 1987; Gardner & Rook, 1988; 1993) because impulse buying can provide the enjoyment of novelty and surprise, and the ability of mood alteration (i.e., breaking out of negative mood state) (Gardner & Rook, 1988; Rook, 1987). Recognizing the positive feelings generated from impulse buying and considering the increasing frequency of college students'' Internet shopping (Seock, 2003), one strategy to create competitive advantages in the apparel market of college students is to understand the variables related to impulse buying and based on the understanding provide a website that generates pleasurable shopping. The purpose of this study was to examine the relationships between online apparel impulse buying behavior and apparel involvement, apparel website attributes, and product category/price. The data were collected using an online survey with a structured questionnaire. To recruit participants, 37,590 e-mails were sent to six universities located in different regions of the United States. A total of 687 college students responded to the survey including 284 online apparel buyers, 194 non-online apparel buyers, and 209 non-apparel website visitors. When the impulsiveness of online apparel purchases in general was used to divide the participants into impulse buyer and non-impulse buyer groups, the Chi-square test results showed that there were significantly more female respondents in the impulse buyer group than in the non-impulse buyer group. However, when impulsiveness of last purchase was used to divide the participants into impulse purchase and non-impulse purchase groups, the results showed no significant difference between the genders. For other results, the findings were all consistent. Respondents in the impulse buyer and purchase groups than the non-impulse buyer and purchase groups had a greater amount of total monthly income and spent more money on apparel products. The impulse buyer and purchase groups visited websites that sold clothing/accessories more frequently and purchased more apparel products online over the past six months than the non-impulse buyer and purchase groups. These results suggest that impulse buyers are an important segment of the apparel online market. Four hypotheses were put forward to test the relationships among the variables. Before the proposed hypotheses could be examined, the factor analysis was first conducted to determine the constructs of apparel involvement and website attributes. The results showed that apparel involvement consisted of three factors (i.e., sign value/perceived importance, pleasure value, risk importance/probability) and website attributes consisted of four factors (i.e., website design, product presentation, promotion, product search/policy information). The results of MANOVA showed that the impulse buyer group perceived the sign value/perceived importance and the pleasure value of apparel involvement significantly higher, and perceived the risk importance/probability of apparel involvement significantly lower than the non-impulse buyer group. Based on the results, H1 was supported. Impulsive and non-impulsive online apparel buyers differed significantly in their apparel involvement. For H2, the results indicated that the impulse purchase group evaluated the website where they bought the last apparel item significantly better in website design, product presentation, promotion, and product search/policy information than the non-impulse purchase group. Based on the results, H2 was supported. The evaluations of the attributes of websites where impulse purchases and non-impulse purchases of apparel products were made were significantly different. Test of H3 showed that some product categories purchased by the respondents in the impulse purchase group were significantly different from those bought by the non-impulse purchase group. Categories such as shirt/blouse and belt were bought more frequently by the respondents in the impulse purchase group whereas shoes were bought more frequently by those in the non-impulse purchase group. The respondents in the impulse purchase group bought more items that cost less than $25 than those in the non-impulse purchase group. Based on the results H3 was supported. The product categories purchased by the impulse purchase group and non-impulse purchase group were significantly different. The multiple regression results showed that the sign value/perceived importance of apparel involvement contributed the most in explaining impulsiveness of online apparel buying behavior, followed by product price, risk importance/probability of apparel involvement, and product presentation of website attributes. Other factors, such as the pleasure value of apparel involvement and website attributes in website design, promotion, and product search/policy information, had no significant linear relationships with the impulsiveness of online apparel buying behavior. Based on the results, H4 was partially supported. From the results of the present study, it is concluded that apparel involvement, website attributes, and product price are closely related to the impulsiveness of consumers'' online apparel buying behavior. This study is beneficial to researchers and marketers by identifying possible psychological reasons for impulse buying as well as suggesting strategies to develop an apparel website that facilitate impulse buying behavior.
Ph. D.
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Häßler, Alina, and Bernd Souren. "Which product attributes lead consumers to prefer startups’ products over established companies’ products in the specialty product category? : A study of the electric vehicle market in Germany." Thesis, Högskolan Dalarna, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28013.

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Purpose – The purpose of this study is to investigate which product attributes lead consumers to prefer startups’ products over established companies’ products in the specialty product category. The research object is the electric vehicle market in Germany and the product attributes that are researched are alignable attributes, non-alignable attributes and the price. Design/Methodology/Approach – Quantitative data was collected via an internet questionnaire by means of the non-probability sampling techniques convenience and snowball sampling. The data of 408 members of the German Generation Y (age 17 – 38) was used to test six hypotheses by applying ANOVA and multiple linear regression analysis. Findings – It was found that established companies possess a pioneer advantage in comparison to startups for the specialty product ‘electric vehicle’. This advantage can be overcome when startups differentiate their electric vehicles by implementing superior alignable attributes, a valuable non-alignable attribute or a lower price. Superior alignable attributes had the strongest positive influence on consumers’ preferences towards the startup’s electric vehicle, followed by the lower price and a valuable non-alignable attribute. Limitations/Implications – This study is limited to investigating consumers’ preferences without focusing on the reasons behind the preferences. Further, the category of specialty products is represented by only one example, namely the electric vehicle industry. Practical Implications – Startups can benefit from the results by adopting differentiation strategies that were found to be successful in overcoming pioneer advantage. Originality/Value – This study contributes to pioneer advantage literature by researching how startups can successfully overcome pioneer advantage in the specialty product category.
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Fenel, Andrea, and Magdalena Partyka. "Regional loyalty matters : the impact of product-specific attributes on consumer loyalty." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-8622.

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Food consumption trends change continuously. A noticeable trend in Sweden and the western world is consumers’ need for knowledge about the food they consume and where it originates from. Moreover, consumers appreciate food products produced close to home. The interest towards locally produced food has lately increased amongst today’s consumer, as has many researchers’ interest in the topic.  The purpose with this dissertation is to investigate how and if product-specific attributes attached to a locally produced food product, like Price, Quality, Brand and Organically produced can lead to that consumers’ are loyal towards a region. A deductive research approach is applied for this dissertation. Based on the theories of consumer loyalty, and by regarding current food trends, the theory of regional loyalty as a concept is developed. The product-specific attributes Brand, Price, Quality and Organic are examined and tested. A model and hypotheses are developed in order to understand the relationship better. By using a quantitative method and conducting a questionnaire, the consumer’s attitudes were examined. The research was conducted in themunicipalityofKristianstadand 130 questionnaires were handed out outside the biggest grocery stores in town. The findings indicate that there is a positive correlation between the variables attached to locally produced food products and regional loyalty. The results show that all these attributes are related to regional loyalty except of price, regardless of age, income or current occupation. According to the authors’ knowledge, since no study has been conducted on regional loyalty or product-specific attributes affecting this, the results of this dissertation will bring new knowledge to this area of research. The results may also be useful for executives when marketing locally produced food products.
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Kong, Sze Kei Fanny. "Product placement in television drama : effects of information overload and character attributes." HKBU Institutional Repository, 2011. http://repository.hkbu.edu.hk/etd_ra/1264.

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Peterson, Katie Ha-Brookshire Jung. "Brand origin and consumers' pereceptions of apparel product attributes relating to quality." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6572.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on December 18, 2009). Thesis advisor: Dr. Jung Ha-Brookshire. Includes bibliographical references.
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Books on the topic "Product attributes"

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Petrin, Amil. Omitted product attributes in discrete choice models. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Knittel, Christopher R. Incompatibility, product attributes and consumer welfare: Evidence from ATMs. Cambridge, MA: National Bureau of Economic Research, 2004.

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Hardwick, Philip. Multi-product cost attributes: A study of UK building societies. Southampton: Universityof Southampton, Dept. of Economics, 1987.

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R, Middleton G., Munro B. D, and Forintek Canada Corp, eds. Second-growth western hemlock: Product yields and attributes related to stand density. Vancouver: Forintek Canada Corp., 2001.

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Middleton, G. R. Second growth western hemlock: Product yield and attributes related to stand density. Vancouver, B.C: Forintek Canada Corp., Western Division, 2001.

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Viswanathan, Madhubalan. The encoding of numerical and verbal information on product attributes: Implications for consumer memory. Champaign: University of Illinois at Urbana-Champaign, 1992.

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Baker, Susan. Product attributes and personal values: A review of means-end theory and consumer behaviour. Cranfield: Cranfield School of Management, 1992.

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Viswanathan, Madhubalan. The encoding and utilization of magnitudes of product attributes: An investigation using numerical and verbal information. Champaign: University of Illinois at Urbana-Champaign, 1992.

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Kinsey, Jean. Desirable attributes for value added meat products survey - 1993. St. Paul, Minn: Center for International Food and Agricultural Policy, University of Minnesota, 1993.

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Pearson, A. M., and T. R. Dutson, eds. Quality Attributes and their Measurement in Meat, Poultry and Fish Products. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2167-9.

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Book chapters on the topic "Product attributes"

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Pazzani, Michael J. "Constructive Induction of Cartesian Product Attributes." In Feature Extraction, Construction and Selection, 341–54. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5725-8_21.

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Moskowitz, Howard R. "Asking Consumers to Rate Product Attributes." In Viewpoints and Controversies in Sensory Science and Consumer Product Testing, 173–90. Trumbull, Connecticut, USA: Food & Nutrition Press, Inc., 2008. http://dx.doi.org/10.1002/9780470385128.ch10.

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Spriestersbach, Axel, and Thomas Springer. "Quality Attributes in Mobile Web Application Development." In Product Focused Software Process Improvement, 120–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24659-6_9.

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Love, J. "Product acceptability evaluation." In Quality Attributes and their Measurement in Meat, Poultry and Fish Products, 337–58. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2167-9_13.

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Reed, Ken. "Intraocular Injectable Dosage Form Development: Key Components and Critical Quality Attributes." In Ophthalmic Product Development, 181–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76367-1_8.

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Gore, Anuradha, and Chetan Pujara. "Topical Ophthalmic Dosage Form Development: Key Components and Critical Quality Attributes." In Ophthalmic Product Development, 153–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76367-1_7.

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Rungie, Cam, and Gilles Laurent. "Brand Loyalty vs. Loyalty to Product Attributes." In Quantitative Marketing and Marketing Management, 423–44. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3722-3_20.

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Bhise, Vivek D. "Product Attributes, Requirements, and Allocation of Functions." In Designing Complex Products with Systems Engineering Processes and Techniques, 75–98. 2nd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003263357-5.

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Hitz, Martin, and Behzad Montazeri. "Measuring product attributes of object-oriented systems." In Software Engineering — ESEC '95, 124–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60406-5_11.

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Lima, Keila, Ngoc-Thanh Nguyen, Rogardt Heldal, Eric Knauss, Tosin Daniel Oyetoyan, Patrizio Pelliccione, and Lars Michael Kristensen. "Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes." In Product-Focused Software Process Improvement, 124–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21388-5_9.

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Conference papers on the topic "Product attributes"

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Goucher-Lambert, Kosa, and Jonathan Cagan. "The Impact of Sustainability on Consumer Preference Judgments of Product Attributes." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34739.

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Despite significant interest from consumers, sustainable products often struggle to find success in the marketplace. This failure is often attributed to the perception that consumers remain unwilling to sacrifice product attributes such as form, function, or price in order to adopt a product whose environmental impact is less than that of a competing product. This work aims to better understand how knowing a product’s environmental impact affects preference for that product’s disparate attributes. Three products of various complexities are explored through a conjoint analysis experiment that uncovers consumer preference for discrete form, function and price attributes. In this work, single use spoons, reusable water bottles, and home washing machines were used for analysis. These three products were decomposed into form, function, and price attributes that were varied at discrete levels. After a form-only ratings-based conjoint analysis study was conducted to find high, medium, and low preference form designs for each participant, two separate form-function-price discrete choice studies were conducted for each of the three products. These two discrete choice trials were identical in all aspects except in the second trial participants were provided with calculated environmental impact values for all design configurations; the presented environmental impact information was a dependent variable based on a Life Cycle Analysis calculation using the current product configuration being shown to the participant. Results show that when participants are provided with this additional piece of information, their preference for form, function, and price attributes of a product is greatly impacted. In particular we find that the importance of functional attributes increases in the context of environmental impact metrics, while the importance of form decreases and the importance of price decreases modestly.
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Cheng, Aoxiang, Mengyuan Shen, and Youyi Bi. "Approach for Kano-IPA Analysis of Product Attributes From Online Reviews and Product Maintenance Records." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95362.

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Abstract Kano analysis and importance-performance analysis (IPA) are widely used for needs analysis, product positioning, and strategic planning in product design. Previous research uses customer surveys and online reviews as the main data sources. However, these data carry inevitable subjective bias. In contrast, product maintenance records provide objective information on product quality issues and failure patterns, which can be cross-validated with customers’ personal experience from online reviews. In this paper, we propose a systematic approach for conducting Kano-IPA analysis from online reviews and product maintenance records synthetically. An attribute-keyword dictionary is first established using keyword extraction and clustering methods from online reviews and maintenance records. After that, semantic groups including product attributes and associated descriptions are extracted by dependency parsing analysis. The sentiment scores of identified attributes are calculated by a self-supervised representation learning approach (Sentiment Knowledge Enhanced Pre-training, SKEP) from the built semantic groups. Sentiment scores and occurrence frequencies of attributes in online reviews are utilized for Kano analysis. The importance of product attributes in IPA is estimated from the impact of sentiments of each product attribute on product ratings, while the performance is estimated from the sentiment scores of online reviews or the quality statistics from maintenance records. A case study of passenger vehicles shows that integrated data can provide more comprehensive results and richer insights. The proposed approach enables automatic data processing and can support companies to make efficient design decisions with broader perspectives from multi-source data.
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Tucker, Conrad S., and Harrison M. Kim. "Trending Mining for Predictive Product Design." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28364.

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The Preference Trend Mining (PTM) algorithm that we propose in this work aims to address some fundamental challenges of current demand modeling techniques being employed in the product design community. The first contribution is a multistage predictive modeling approach that captures changes in consumer preferences (as they relate to product design) over time, hereby enabling design engineers to anticipate next generation product features before they become mainstream/unimportant. Because consumer preferences may exhibit monotonically increasing or decreasing, seasonal or unobservable trends, we proposed employing a statistical trend detection technique to help detect time series attribute patterns. A time series exponential smoothing technique is then used to forecast future attribute trend patterns and generate a demand model that reflects emerging product preferences over time. The second contribution of this work is a novel classification scheme for attributes that have low predictive power and hence may be omitted from a predictive model. We propose classifying such attributes as either obsolete, nonstandard or standard, with the appropriate classification given based on the time series entropy values that an attribute exhibits. By modeling attribute irrelevance, design engineers can determine when to retire certain product features (deemed obsolete) or incorporate others into the actual product architecture (standard) while developing modules for those attributes exhibiting inconsistent patterns throughout time (nonstandard). A cell phone example containing 12 time stamped data sets (January 2009-December 2009) is used to validate the proposed Preference Trend Mining model and compare it to traditional demand modeling techniques for predictive accuracy and ease of model generation.
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Ye, Xiaoli, and John K. Gershenson. "Attribute Attribute-Based Clustering for Product Family Design." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34885.

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As manufacturers are forced by today’s marketplace to provide nearly customized products to satisfy individual customer requirements and simultaneously achieve economies of scale during production, product family design and platform-based product development have garnered their attention. Determining which elements (attributes, functions, components, etc.) should be made common, variable, or unique, across a product family is the critical step in the successful implementation of product families and product platforms. Therefore, the inherent challenge in product family design is to balance the tradeoff between product commonality (how well the components and functions can be reused across a product family) and variety (the range of different products in a product family). There are opportunities to develop tools to directly aid in addressing the commonality/variety tradeoff at the product family planning stage in a way that supports the engineering design process. In this paper, we develop a matrix-based, qualitative design tool – the Attribute-Based Clustering Methodology (ABCM) that enables the design of product families to better satisfy the ideal commonality/variety tradeoff as determined by a company’s competitive focus. The ABCM is used to identify component commonality opportunities in product families without sacrificing product variety by analyzing product attributes across the product family. This paper focuses on the ABCM as used in new product family design and how the ABCM can be used to cluster product attributes into potential modules and product platforms. It is intended as a starting place, an opening set of questions, and as a framework for the general solution to the problem of a qualitative design tool for product family design that directly address the commonality/variety tradeoff. Development of the ABCM starts with the classification of existing product attributes into three categories: common, unique, and variable. The attributes are then clustered into platforms and differentiating modules based on their occurrences, target value ranges (partitioning the target values for each product attribute into achievable ranges), and the manner in which the range changes across the entire target market segments. The ABCM can be used as a qualitative guideline in product family design. In new product family design, it can be used to identify which elements (functions and components) should be clustered into a common platform and which should be clustered into differentiating modules based on an analysis of the product attributes, their occurrences, and their target values across the product family. In product family redesign, the ABCM can be used to identify any elements that are inappropriately included in a platform or inappropriately clustered into differentiating modules by comparing the ideal clustering with the actual clustering.
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Jemghili, Rajae, Abdelmajid Ait Taleb, and Khalifa Mansouri. "Additive Manufacturing Taxonomy Regarding Product Attributes." In 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). IEEE, 2022. http://dx.doi.org/10.1109/iraset52964.2022.9737739.

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Hou, Keyu, Shunxun Li, Jingjing Li, Wei Xu, Rui Wang, and Jin Zhou. "Research on consumer portraits of offline fast fashion shoe stores based on IoT smart hardware." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iii.9.

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There is a close relationship between consumer’s portrait and product’s attributes. Consumer portraits are usually obtained from information provided by consumers or by using data analysis of computer vision technology when they were in store. However, there was few concerns on the product’s attribute which was a critical factor affecting consumer portrait establishment. Therefore, the purpose of this study was to establish IoT based product attributes’ data collection system then to use this system to portrait consumers behaviors. Firstly, we used our own developed smart hardware to collect consumers' attention data on products of fast fashion shoe stores. Then the product attention index was obtained by combining sales data, and the quantitative attributes of the products with the highest attention index were analyzed, including the age, style and price. At last, improved the TOFA model to make it suitable for the conversion analysis of product attributes to consumer portraits. The results showed that there were core hedonic middle-aged consumer groups and potential thrifty youth consumer groups in the store, and the styles of shoes tend to be fashionable and casual. The conclusion was that the new model can effectively analyze the core consumer portraits of shoe stores and provide strategies for shoe store positioning and supply.
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Lee, Thomas Y. "Adaptive Text Extraction for New Product Development." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86513.

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The first step in product design and development involves concept generation. Concept generation involves identifying customer needs and then mapping those needs onto a set of product attributes (specifications). Traditional methods for concept generation involve focus groups, surveys, and anthropological studies to assess user needs. Techniques, like Quality Function Deployment (QFD), then guide designers in relating needs to explicit product specifications. In this paper, we propose to augment traditional methods for concept generation by automatically processing user generated online product reviews. We apply adaptive text extraction methods to automatically learn user needs and product attributes. Association rule mining is used to learn the mapping between needs and attributes. We summarize results from prior work for independently learning user needs and attribute specifications from product reviews and then discuss the application of these methods to concept generation for new product development.
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Skopal, Tomáš, Ladislav Peška, Gregor Kovalčík, Tomáš Grosup, and Jakub Lokoč. "Product Exploration based on Latent Visual Attributes." In CIKM '17: ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3132847.3133175.

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Dong, Li, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, and Ke Xu. "Learning to Generate Product Reviews from Attributes." In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/e17-1059.

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Du, Ping, and Erin F. MacDonald. "Products’ Shared Visual Features Do Not Cancel in Consumer Decisions." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-48110.

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Consumers’ product purchase decisions typically involve comparing competing products’ visual features and functional attributes. Companies strive for “product differentiation” [1–5], which makes consumers’ product comparisons fruitful but also sometimes challenging. Psychologists that study decision-making have created models of choice such as the cancellation-and-focus (C&F) model. C&F explains and predicts how people decide between choice alternatives with both shared and unique attributes: the shared attributes are “cancelled” (ignored) while the unique ones have greater weight in decisions. However, this behavior has only been tested with text descriptions of choice alternatives. To be useful to designers, C&F must be tested with product visuals. This study tests C&F under six conditions defined by: the representation mode (text-only, image-only, and image-with-text) and presentation (sequentially, or side-by-side) of choice alternatives. For the products tested, C&F holds for only limited situations. Survey and eye-tracking data suggest different cognitive responses to shared text attributes vs. shared image features: in text-only, an attribute’s repetition cancels its importance in decisions, while in images, repetition of a feature reinforces its importance. Generally, product differences prove to attract more attention than commonalities, demonstrating product differentiation’s importance in forming consumer preferences.
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Reports on the topic "Product attributes"

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Wang, Luo, and Yingjiao xu. Preferred Product Attributes for Sustainable Outdoor Clothes. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1779.

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Petrin, Amil, and Kenneth Train. Omitted Product Attributes in Discrete Choice Models. Cambridge, MA: National Bureau of Economic Research, January 2003. http://dx.doi.org/10.3386/w9452.

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Knittel, Christopher, and Victor Stango. Incompatibility, Product Attributes and Consumer Welfare: Evidence from ATMs. Cambridge, MA: National Bureau of Economic Research, December 2004. http://dx.doi.org/10.3386/w10962.

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Lee, Jung-Woo, and Mi Young Kim. Meta-analysis on the Effects of Fashion Product Attributes on Fashion Product Purchasing Decision. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-20.

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Hyun, Jonghan. Apparel Product Attributes and Consumer Choice Decision: A Regulatory Focus Perspective. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1349.

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Jankovska, Daniela, Camille Hensley, Nancy Miller, and Ruoh-Nan Yan. An Exploration of Millennial Consumer's Perceptions of Social Responsibility Product Attributes: USA Made vs. Foreign Made Apparel. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-109.

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Bajari, Patrick, Jane Cooley, Kyoo il Kim, and Christopher Timmins. A Theory-Based Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution. Cambridge, MA: National Bureau of Economic Research, February 2010. http://dx.doi.org/10.3386/w15724.

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Ton, Giel, Jodie Thorpe, Irene S. Egyir, and Carolina Szyp. Value Chain Governance: Entrance Points for Interventions to Address Children’s Harmful Work in Agriculture. Action on Children’s Harmful Work in African Agriculture, January 2021. http://dx.doi.org/10.19088/acha.2021.001.

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This paper presents different types of governance mechanisms that can be present in a specific value chain and explores how these can be used or need to be modified in view of intentions to reduce children’s harmful work. We primarily look at the way that the unobservable process-related quality attributes of a product are currently governed and discussed. We identify interactions/ coordination processes that we feel are relevant for ACHA and likely entrance points for interventions.
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Top, Jan, Mariëlle Timmer, and Lorijn van Rooijen. Consumer preference attributes for alternative food products. Wageningen: Wageningen Food & Biobased Research, 2023. http://dx.doi.org/10.18174/587331.

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Singhvi, Punit, Javier García Mainieri, Hasan Ozer, and Brajendra Sharma. Rheology-Chemical Based Procedure to Evaluate Additives/Modifiers Used in Asphalt Binders for Performance Enhancements: Phase 2. Illinois Center for Transportation, June 2021. http://dx.doi.org/10.36501/0197-9191/21-020.

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The increased use of softer binders in Illinois over the past decade is primarily attributed to the increased use of recycled materials in asphalt pavement construction. The shift in demand of using PG 58-28 over PG 64-22 has resulted in potential alternative methods to produce softer binders more economically using proprietary products. However, there are challenges in using these proprietary products for asphalt modification because of uncertainty in their long-term performance and significant variability in binder chemistry. The current SuperPave performance grading specification for asphalt binders is insufficient in differentiating binders produced from these modifiers. Therefore, the objective of this study is to evaluate the performance of various softener-type asphalt binder modifiers using a wide array of rheological and chemistry tests for their integration into the Illinois Department of Transportation’s material specifications. The small-strain rheological tests and their parameters allowed for consistent grouping of modified binders and can be used as surrogates to identify performing and nonperforming asphalt binders. A new parameter, Δ|G*|peak τ, was developed from the linear amplitude sweep test and showed potential to discriminate binders based on their large-strain behavior. Chemistry-based parameters were shown to track aging and formulation changes. The modifier sources were identified using fingerprint testing and were manifested in the modified binder chemical and compositional characteristics. The two sources of base binders blended with the modifiers governed the aging rate of the modified binders. Mixture performance testing using the Illinois Flexibility Index Test and the Hamburg Wheel-Track Test were consistent with the rheological and chemical findings, except for the glycol amine-based modified binder, which showed the worst cracking performance with the lowest flexibility index among the studied modifiers. This was contrary to its superior rheological performance, which may be attributed to lower thermal stability, resulting in high mass loss during mixing. According to the characterization of field-aged binders, laboratory aging of two pressurized aging vessel cycles or more may represent realistic field aging of 10 to 15 years at the pavement surface and is able to distinguish modified binders. Therefore, an extended aging method of two pressurized aging vessel cycles was recommended for modified binders. Two different testing suites were recommended for product approval protocol with preliminary thresholds for acceptable performance validated with field-aged data.
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