Consumer Schadenfreude: Perceived Deservingness Impacts Attitudes Regarding Another's Product Failure

2013 ◽  
Author(s):  
Ethan Pancer ◽  
Laurence Ashworth
Keyword(s):  
2021 ◽  
Vol 13 (2) ◽  
pp. 621
Author(s):  
Hsin Rau ◽  
Mary Deanne M. Lagapa ◽  
Po-Hsun Chen

The number of consumers with green awareness have grown these days and as a result they have turned to purchase eco-friendly products. For this reason, this study aims to propose a method for eco-design based on the anticipatory failure determination method to develop eco-design products. By using eco-design concepts adopted from the World Business Council for Sustainable Development, the process will limit the failures and issues related to environmental impact in product design. The proposed method for eco-design product in this study follows the following procedure. First, we analyze product failure. Second, we propose the determination of the non-green phenomenon of the failure. Thirdly, we integrate the intensified non-green phenomenon to generate non-green hypotheses and fourthly, we eliminate each non-green phenomenon hypothesis by introducing the contradiction matrix of TRIZ for obtaining solutions. Finally, we assess alternative eco-design solutions by evaluation. To verify the practicality of the new procedure, a washing machine is used as an example for illustration.


Author(s):  
Hao-yu Liao ◽  
Willie Cade ◽  
Sara Behdad

Abstract Accurate prediction of product failures and the need for repair services become critical for various reasons, including understanding the warranty performance of manufacturers, defining cost-efficient repair strategies, and compliance with safety standards. The purpose of this study is to use machine learning tools to analyze several parameters crucial for achieving a robust repair service system, including the number of repairs, the time of the next repair ticket or product failure, and the time to repair. A large dataset of over 530,000 repairs and maintenance of medical devices has been investigated by employing the Support Vector Machine (SVM) tool. SVM with four kernel functions is used to forecast the timing of the next failure or repair request in the system for two different products and two different failure types, namely random failure and physical damage. A frequency analysis is also conducted to explore the product quality level based on product failure and the time to repair it. Besides, the best probability distributions are fitted for the number of failures, the time between failures, and the time to repair. The results reveal the value of data analytics and machine learning tools in analyzing post-market product performance and the cost of repair and maintenance operations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Agnese Rondoni ◽  
Elena Millan ◽  
Daniele Asioli

PurposePlant-based eggs have recently been developed to provide consumers with a healthier, animal-friendlier and more sustainable alternative to conventional eggs. The purpose of this paper is to investigate intrinsic and extrinsic attribute preferences for three prototypes of plant-based egg, namely the liquid, powder and egg-shaped.Design/methodology/approachNine focus groups in the United Kingdom and nine in Italy were conducted, with a total of 180 participants. A thematic analysis of results was conducted.FindingsIn terms of intrinsic product attributes, consumers' preferences for colour, shape, taste, ingredients, nutrients, method of production and shelf-life for plant-based eggs were revealed. Regarding the extrinsic attributes, preferences for price, packaging, country of origin and product naming emerged. Similarities and differences between consumers from the two countries are also discussed. Differences in preferences also emerged between vegan and non-vegan consumers.Research limitations/implicationsThis study adds to the existing knowledge on consumers' preferences for new plant-based food alternatives and identifies future quantitative approaches based on qualitative findings.Practical implicationsResults from this study can assist plant-based egg manufacturers in improving their products in line with consumers' expectations, which may help reducing risk of product failure.Originality/valueThis study is the first to investigate consumers' preferences, expectations and needs for new food products like plant-based eggs and provides information that can be practically applied by manufacturers, as well as suggestions for future research.


Author(s):  
Georgiy Konakhovych ◽  
Iryna Kozlyuk ◽  
Yuliia Kovalenko

This paper is dedicated to solving the problem of identifying and refining optimization indicators of operational efficiency and updating of electronic systems of aircraft, which is a pertinent metrological task. An analysis of possible options for building a system of technical operation and updating of electronic systems of aircraft was conducted. The concept of the basic variant of construction of such a system is formulated. By means of defining classification features the basic variants of construction of a system of the technical operation and updating are selected. The notion of secondary and competing types of the basic variant of construction of such a system is defined. For this purpose, classification features have been introduced that characterize the properties of products of electronic systems: the place of updating the product, the place of fixing the product failure and the availability of means of operational control in the organization of maintenance.


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