scholarly journals Jointly Learning Prices and Product Features

2021 ◽  
Author(s):  
Ehsan Emamjomeh-Zadeh ◽  
Renato Paes Leme ◽  
Jon Schneider ◽  
Balasubramanian Sivan
Keyword(s):  
Online Learning ◽  
Product Design ◽  
Marketing Research ◽  
Product Configuration ◽  
Purchasing Decision ◽  
Product Features ◽  
Regret Bounds

Product Design is an important problem in marketing research where a firm tries to learn what features of a product are more valuable to consumers. We study this problem from the viewpoint of online learning: a firm repeatedly interacts with a buyer by choosing a product configuration as well as a price and observing the buyer's purchasing decision. The goal of the firm is to maximize revenue throughout the course of $T$ rounds by learning the buyer's preferences. We study both the case of a set of discrete products and the case of a continuous set of allowable product features. In both cases we provide nearly tight upper and lower regret bounds.

scholarly journals Refine the Students’ Skills Through Design Education to Create Ethical Products

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402199836
Author(s):  
Tarek Ismail Mohamed
Keyword(s):  
Product Design ◽  
Interface Design ◽  
Visual Information ◽  
Design Education ◽  
Vital Role ◽  
Ethical Aspects ◽  
Product Features ◽  
Ethical Products ◽  
Appearance Design ◽  
Design Values

This article focuses on applying the ethics of the product features during the students’ design education. Good/Bad design term is a conventional approach to discuss the ethical/unethical design values of the products. It is noted that different aspects of the product design such as visual information design, interface design, and appearance design have a vital role in judging the levels of ethics in the product. So the students of product design everywhere need to practice the term ethical/unethical design during their study because designers influence society more than they could imagine. This influence can be done by creating an attractive organized appearance and perfect functions that support the ethical brand’s image to the customers. The interviews and discussions were held as a research method with the students of product design in some institutions in addition to some design experts and customers to find out their opinions about the design values that achieve the ethical dimensions in the product design. They can end up with products that carry ethical values in their design. The final article’s results are in the descending order of the different design values according to their importance in emphasizing the ethical aspects of the products, in addition to a checklist including some important questions that can help the designers to be more aware of ethics’ considerations in the product design because ethics is a process of learning, not a process of obedience, and to highlighting the term of ethical designer which in turn reflects on the ethics of customers and societies.

Usability in Mobile Computing and Commerce

2009 ◽  
pp. 1480-1486
Author(s):  
Kuanchin Chen ◽  
Hy Sockel ◽  
Louis K. Falk
Keyword(s):  
Product Design ◽  
User Satisfaction ◽  
Interface Design ◽  
Empirical Studies ◽  
Social Environments ◽  
Iso Standard ◽  
Product Features ◽  
Positive Attitudes ◽  
Favorable Impression ◽  
Context Of Use

Usability is an acknowledged important aspect of any system or product design. Many times it is related to not only product features, but also ultimately profit that can be generated from the product. Good interface design promotes higher mutuality (feeling similar and connected), which in turn leads to higher levels of involvement and a favorable impression of credibility. Many practitioners and researchers (such as Jakob Nielsen, 2000) have elaborated on usability aspects, but few have agreed upon a unifying definition. In 1998 the International Organization for Standardization (ISO) defined usability as the “Extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use” (ISO 9241-11, 1998, p. 2). From this definition it can be construed that effectiveness, efficiency, and satisfaction are three pillars for usability measures. In this regard, the ISO defines: • Effectiveness as the “accuracy and completeness with which users achieve specified goals,” • Efficiency as the “resources expended in relation to the accuracy and completeness with which users achieve goals,” and • Satisfaction as the “freedom from discomfort, and positive attitudes towards the use of the product.” The ISO standard acknowledges that the level of usability depends highly on the intended context of use (e.g., users, hardware, software, and social environments). Researchers have demonstrated that the three ISO usability components are distinct. Frøkjær, Hertzum, and Hornbæk (2000) found only a weak relationship among the three usability components. Walker, Fromer, Di Fabbrizio, Mestel, and Hindle (1998) found that efficiency did not translate into user satisfaction. These empirical studies suggest that efficiency, effectiveness, and satisfaction may be independent aspects of usability and a causal relationship among them may be weak or even nonexistent.

scholarly journals DESIGNING PRODUCT METAPHOR TO PROMOTE SUSTAINABLE BEHAVIOUR: A PROPOSED METHOD

2020 ◽  
Vol 1 ◽  
pp. 1921-1930
Author(s):  
S. Huang ◽  
M. Carulli ◽  
P. Hekkert ◽  
R. N. J. Schifferstein ◽  
M. Bordegoni
Keyword(s):  
Product Design ◽  
Design Method ◽  
Behavioural Change ◽  
Idea Generation ◽  
Limited Attention ◽  
Change Strategies ◽  
Metaphorical Thinking ◽  
Future Developments ◽  
Product Features ◽  
Design Idea

AbstractWithin the scope of Design for Sustainable Behaviour, the connection between behavioural change strategies and design idea generation has received limited attention. This paper highlights metaphorical thinking in product design to stimulate sustainable behaviour. In particular, the current study proposes a metaphor-based design method to guide designers on how to associate product features with behavioural and experiential cues through metaphors. We next report two design cases to evaluate this method. In the end, the shortcomings of current research and future developments are also discussed.

Trending Mining for Predictive Product Design

2010 ◽  
Author(s):  
Conrad S. Tucker ◽  
Harrison M. Kim
Keyword(s):  
Time Series ◽  
Product Design ◽  
Consumer Preferences ◽  
Demand Model ◽  
Demand Modeling ◽  
Design Engineers ◽  
Product Features ◽  
Modeling Techniques ◽  
Trend Mining ◽  
Over Time

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.

Research of Variant Design Method for Product-Level

2010 ◽  
Vol 102-104 ◽  
pp. 22-26
Author(s):  
Zong Yan Wang ◽  
Shu Fang Wu ◽  
Long Liang Pang
Keyword(s):  
Product Design ◽  
Parametric Design ◽  
Design Method ◽  
Product Configuration ◽  
Variant Design ◽  
Product Level ◽  
Modular Product ◽  
Traditional Design ◽  
Design Cycle ◽  
The Cost

To solve the problem such as large amounts of repeated designs and long design cycle in the traditional design process of crane, by analyzed the current variant design methods, a product-level variant design method was presented based on product configuration technology, parametric design technology and modular product design. The theory and the flow of variant design were explained in detail. A variant design platform for portal crane was developed. Based on making the best of enterprise resource, the product design efficiency was improved and the cost of the production reduced.

Defining Specifications for Custom Products: A Bayesian Probabilistic Approach

2008 ◽  
Author(s):  
Yue Wang ◽  
Mitchell M. Tseng
Keyword(s):  
Product Design ◽  
Mass Customization ◽  
Domain Knowledge ◽  
Probabilistic Approach ◽  
Physical Structure ◽  
Product Configuration ◽  
Technical Issues ◽  
Low Efficiency ◽  
Probabilistic Nature ◽  
Product Specifications

Defining product specifications to meet customers’ preferences is a crucial and challenging task for custom product design. An efficient specification defining method should take both product structures and customers’ preferences into consideration. Because customers’ preferences depend largely on factors such as product attributes and external parameters, conventional specification definition methods in deterministic form fall short of providing adequate approaches to represent and manipulate the probabilistic nature of customers’ preferences. They often suffer from low efficiency, lack of intelligence to adapt to different customers’ inputs, being unable to provide guidance to users who have little domain knowledge, etc. These technical issues have hindered the development of custom product design and mass customization. To solve these issues, Bayesian network is deployed to represent the product physical structure and the likelihood of the customers’ potential preferences among components. The specification defining is modeled as an uncertainty elimination process and an information theory based algorithm is applied to obtain customers’ target product configuration. The idea is to sequentially select the most relevant component for a customer to specify from the remaining components pool based on his previous step’s specification. An inference module is also proposed which can recommend possible product configurations to help customers find what they want quickly. Thus a customized 1-to-1 specification defining procedure is provided and the final configuration can converge to a customer’s target with fewer interactions between the customer and product design team. This paper explores the framework of product specification defining in uncertain domain and offers a new angle to advance design for mass customization (DfMC), and possibly the Design for Manufacturing in general.

scholarly journals Research on Consumers' Brain Activations by Means of Electroencephalography Method

2017 ◽  
Vol 5 (1) ◽  
pp. 313 ◽  
Author(s):  
Mahmut Tekin ◽  
Dr. A.Selçuk Köylüoğlu ◽  
Lect. Özdal Koyuncuoğlu
Keyword(s):  
Product Design ◽  
Brain Imaging ◽  
Traditional Method ◽  
Research Method ◽  
Emotional Responses ◽  
Marketing Research ◽  
Purchasing Behavior ◽  
Confidential Information ◽  
Cost And Benefit ◽  
The Cost

Marketers are excited about two main reasons that are concerned with neuroelectrical brain imaging. The first reason is that they expect neuroimaging will offer a more efficient exchange between cost and benefit. This expectation is based on the assumption that consumers don’t want to express their preferences explicitly or that it is not possible for them to do this when their preferences are asked; or that consumer' s brain, which is related to real preferences, contains confidential information. Such information is used in theory to influence purchasing behavior. Thus, the cost of performing neuroimaging studies against improved product design and increased sales benefit is outweigh. As the second reason, marketers expect that they will be able to obtain an accurate marketing research method that can be applied even before an existing product. The purpose of this study is to determine the rational influence activation of consumers and to emphasize the deficiency of using traditional method of questionnaire based solely on declaration to understand consumers. Accordingly, volunteer subjects watched an advertisement film and their brain activities were tried to be measured while they were watching the advertisement. This measurement was performed with a 10 channel EEG device. During the research, the emotional responses of participants and their brain activities were measured and EEG patterns were obtained. The obtained data were interpreted by academicians and EEG experts.

scholarly journals Product Features and Customers Satisfaction of Patanjali Product: Evidence From Kathmandu, Nepal

2022 ◽  
Vol 4 (1) ◽  
pp. 46-59
Author(s):  
Ballav Niroula ◽  
Achyut Gyawali
Keyword(s):  
Consumer Satisfaction ◽  
Positive Relationship ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Satisfaction Level ◽  
Purchasing Decision ◽  
Marketing Managers ◽  
Product Features ◽  
Sample Correlation

The objectives of this study are to identify the features of Patanjali products and it focuses to identify the satisfaction level and purchasing decision of consumer by the features of Patanjali products. In this research, convenient sampling technique were used to get the sample, correlation and regression were used in order to get the result. Descriptive statistics is used to explain the respondents’ perception towards the features of Patanjali product. In this study, the data was collected through questionnaire from 300 respondents. This research used SPSS - 23 for analysis. This study has been done on four attributes or determinants of Patanjali product, they are price, quality, availability and healthy (organic) of product. The result of this study indicates that there is positive relationship between the features of Patanjali product and satisfaction. It can be said that the independents variables have effect on consumer satisfaction of Patanjali products. The producer and marketing managers are recommended to focus on the product features in order to obtain loyal satisfied customers.

The Science Behind Neuromarketing

2020 ◽  
pp. 104-126
Author(s):  
Yetkin Bulut ◽  
Burak Arslan
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Research Methods ◽  
Decision Process ◽  
Marketing Research ◽  
Purchasing Decision ◽  
Quantitative And Qualitative Research ◽  
Research Techniques ◽  
Decision Making Processes ◽  
Traditional Marketing

With the change and development of technology, the techniques used in marketing research have also changed. Quantitative and qualitative research techniques have been applied to traditional marketing research. Although these techniques are applied, the purchasing decision process of the consumer is not fully understood. The decision-making processes of consumers are more clearly understood thanks to the neuromarketing approach that arises as a result of the collaboration of marketing with neuroscience and the research methods applied as a requirement of this understanding. In this chapter, research methods used in the field of neuromarketing will be examined, examples of applications will be given, and suggestions will be made to academicians and practitioners.

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