Effects on Visual Weight Perceptions of Product Image Locations on Packaging

2011 ◽  
pp. 289-308
Keyword(s):  
Weight Perceptions ◽  
Product Image

DISTRIBUTION INCENTIVE SYSTEM FOR ELECTRICAL COMPANIES

2021 ◽  
Vol 4 (5) ◽  
pp. 43-48
Author(s):  
Yu. V. NIKITOCHKINA ◽  
Keyword(s):  
Optimization Method ◽  
Incentive System ◽  
New Model ◽  
Incentive Model ◽  
Multi Stage ◽  
Commercial Enterprise ◽  
Product Image

This article proposes a new model for stimulating distributors – a multi-stage scale that compares the distributor's rating with the percentage level of discount for regional coverage and specialization. The list of indicators for calculating discounts by specialization and regional coverage includes a group of indicators to increase the motivation of the distributor to improve the quality of their work and a group of indicators to increase the motivation of the distributor to expand the scope of action. Using the method of index grouping of expert estimates, the weight values of each indicator were found. The task of calculating the evaluation of the results of the distribution was set as a multi-criteria task, in which the additive optimization method was used for the procedure of folding private criteria, which was preceded by checking all private criteria for addi-tive independence. The developed incentive model can be adapted for any commercial enterprise interested in promoting its product through regional coverage, as well as in supporting the product image, which, of course, contributes to stimulating demand and increasing sales.

scholarly journals Is the Linear Modeling Technique Good Enough for Optimal Form Design? A Comparison of Quantitative Analysis Models

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Yang-Cheng Lin ◽  
Chung-Hsing Yeh ◽  
Chen-Cheng Wang ◽  
Chun-Chun Wei
Keyword(s):  
Product Design ◽  
Design Process ◽  
Design Approach ◽  
Modeling Technique ◽  
Type I ◽  
Linear Modeling ◽  
Optimal Form ◽  
Product Image ◽  
Form Design ◽  
Product Forms

How to design highly reputable and hot-selling products is an essential issue in product design. Whether consumers choose a product depends largely on their perception of the product image. A consumer-oriented design approach presented in this paper helps product designers incorporate consumers’ perceptions of product forms in the design process. The consumer-oriented design approach uses quantification theory type I, grey prediction (the linear modeling technique), and neural networks (the nonlinear modeling technique) to determine the optimal form combination of product design for matching a given product image. An experimental study based on the concept of Kansei Engineering is conducted to collect numerical data for examining the relationship between consumers’ perception of product image and product form elements of personal digital assistants (PDAs). The result of performance comparison shows that the QTTI model is good enough to help product designers determine the optimal form combination of product design. Although the PDA form design is used as a case study, the approach is applicable to other consumer products with various design elements and product images. The approach provides an effective mechanism for facilitating the consumer-oriented product design process.

scholarly journals Variables that affect the purchase intention of Peruvian gastronomy

2017 ◽  
Vol 9 (1) ◽  
pp. 114
Author(s):  
Gina Pipoli de Azambuja
Keyword(s):  
Graduate Students ◽  
Purchase Intention ◽  
Qualitative Method ◽  
Country Image ◽  
Positive Relation ◽  
Intent To Purchase ◽  
Survey Technique ◽  
Product Image ◽  
Product Familiarity ◽  
Different Levels

The purpose of the research is analyze the association of the purchase intention of Peruvian gastronomy with the following set of variables: the country image of Peru, the gastronomy’s product image, the familiarity with Peru, and the gastronomy’s product familiarity. Such association has not been studied for country familiarity variable, and for Peruvian gastronomy. A qualitative method to compile the primary information and the survey technique was used. Additionally, a questionnaire of closed questions was applied to undergraduate and graduate students in two selected samples that correspond to the consumers of two countries with different levels of familiarity with Peru: United States whose level of familiarity is high and France whose level of familiarity is low. It was concluded that there is a positive relation between the intent to purchase of Peruvian gastronomy with the country image of Peru, the gastronomy’s product image, the familiarity with Peru, and the gastronomy’s product familiarity. In addition, the country image of Peru is statistically significant associated with purchase intention of Peruvian gastronomy for the case of foreign consumers with high and low familiarity with Peru.

scholarly journals Intelligent Design of Product Forms Based on Design Cognitive Dynamics and a Cobweb Structure

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Wenjin Yang ◽  
Jian-Ning Su ◽  
Shutao Zhang ◽  
Kai Qiu ◽  
Xinxin Zhang
Keyword(s):  
Design Process ◽  
Intelligent Design ◽  
Design Thinking ◽  
Information Source ◽  
Dynamic Mechanism ◽  
Cognitive Dynamics ◽  
Wide Range ◽  
Product Image ◽  
The Impact ◽  
Product Forms

Design is a complex, iterative, and innovative process. By traditional methods, it is difficult for designers to have an integral priori design experience to fully explore a wide range of design solutions. Therefore, refined intelligent design has become an important trend in design research. More powerful design thinking is needed in intelligent design process. Combining cognitive dynamics and a cobweb structure, an intelligent design method is proposed to formalize the innovative design process. The excavation of the dynamic mechanism of the product evolution process during product development is necessary to predict next-generation multi-image product forms from a larger design space. First, different design thinking stimulates the information source and is obtained by analyzing the designers’ thinking process when designing and mining the dynamic mechanism behind it. Based on the nonlinear cognitive cobweb process proposed by Francisco and a natural cobweb structure, the product image cognitive cobweb model (PICCM) is constructed. Then, natural cobweb predation behavior is simulated using a stimulus information source to impact the PICCM. This process uses genetic algorithms to obtain numerous offspring forms, and the PICCM’s mechanical properties are the energy loss parameters in the impact information. Furthermore, feasible solutions are selected from intelligent design sketches by the product artificial form evaluation system based on designers’ cognition, and a new product image cognitive cobweb system is reconstructed. Finally, a case study demonstrates the efficiency and feasibility of the proposed approach.

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