scholarly journals The Effects of Customization via Starting Solutions on Customer Values:

2020 ◽  
Vol 40 (1) ◽  
pp. 31-42
Author(s):  
Kosaku Morioka
Top ◽  
2021 ◽  
Author(s):  
Pawel Kalczynski ◽  
Jack Brimberg ◽  
Zvi Drezner

2019 ◽  
Vol 121 (1) ◽  
pp. 139-156 ◽  
Author(s):  
Yun-Hee Kim

PurposeThe purpose of this paper is to understand how identities drive customer values, attitudes toward organic foods and satisfaction, all of which influence world or mouth (WOM).Design/methodology/approachQuestionnaire surveys were administered to the purchasers of organic foods. In total, 512 completed responses were obtained for data analysis.FindingsStrongly defined social identity and role identity are significant antecedents of consumers’ health consciousness and socially responsible consumer behavior (SRCB). This finding explains why organic shoppers value their health and the environment (i.e. self- and others-oriented values). Additionally, health consciousness and SRCB significantly influence attitudes toward organic foods. The study reveals that attitudes toward organic foods positively influence organic shoppers’ satisfaction, and their satisfaction increases positive WOM. Finally, the moderating effects of involvement and mass media are examined. When organic shoppers are strongly involved with organic foods, their health consciousness has a more positive effect on their attitudes toward organic foods. However, organic shoppers’ involvement did not moderate the effect of SRCB on attitudes toward organic foods. Likewise, the mass media did not moderate the effect of health consciousness and SRCB on attitudes toward organic foods.Originality/valueThis study incorporates critical factors such as the antecedents of the customer values to develop a comprehensive model for understanding of organic shoppers’ consumption of organic foods.


1999 ◽  
Vol 1 (2) ◽  
pp. 115-126 ◽  
Author(s):  
J. W. Davidson ◽  
D. Savic ◽  
G. A. Walters

The paper describes a new regression method for creating polynomial models. The method combines numerical and symbolic regression. Genetic programming finds the form of polynomial expressions, and least squares optimization finds the values for the constants in the expressions. The incorporation of least squares optimization within symbolic regression is made possible by a rule-based component that algebraically transforms expressions to equivalent forms that are suitable for least squares optimization. The paper describes new operators of crossover and mutation that improve performance, and a new method for creating starting solutions that avoids the problem of under-determined functions. An example application demonstrates the trade-off between model complexity and accuracy of a set of approximator functions created for the Colebrook–White formula.


2007 ◽  
Vol 544-545 ◽  
pp. 865-868 ◽  
Author(s):  
Chil Soon Lee ◽  
Dong Sik Bae

CoFe2O4 nanoparticles were prepared in ethylene glycol solution under mild temperature and pressure conditions by precipitation from metal nitrates. The average size of the synthesized CoFe2O4 nanoparticles was in the range of 5 to 10, and they were narrowly distributed in the crystalline phase. Their magnetic property was of superparamagnetic character at room temperature. The effect of synthesis parameters is discussed such as the pH of starting solutions and reaction temperature.


2008 ◽  
Vol 153 (2-3) ◽  
pp. 191-201 ◽  
Author(s):  
Corina Fetecau ◽  
T. Hayat ◽  
Constantin Fetecau

2020 ◽  
Vol 1 ◽  
pp. 1077-1086
Author(s):  
M. Riesener ◽  
C. Dölle ◽  
G. Schuh ◽  
M. Mendl-Heinisch ◽  
A. Keuper

AbstractManufacturing companies nowadays face growing numbers of heterogeneous customer requirements. Due to that, internal and external complexity lead to an increase in the associated costs. Especially companies with a high Engineer-to-Order business are strongly affected. To reduce external and internal complexity, Starting Solutions are a suitable way to do that. Starting Solutions require on the one hand the evaluation of product flexibility, on the other hand the evaluation of customer requirements. These two requirements are compared to each other and Starting Solutions are thereby derived.


2019 ◽  
Vol 11 (19) ◽  
pp. 5420 ◽  
Author(s):  
Luyan Su ◽  
Ying Li ◽  
Wenli Li

Online knowledge platforms have been undergoing a transformation from providing free knowledge to online paid knowledge (OPK). As customers play a key role in the sustainable development and success of the new business model, we focused on the factors that drive consumers’ online knowledge purchase intention. Drawing on the cognitive–affective–conative framework and customer value theory, we propose that consumers rationally evaluate the customer values of OPK in the cognitive stage, followed by generating trust and identification in the affective stage, then leading to a purchase decision. Six factors were extracted from three dimensions of customer value: Functional, emotional, and social values. The hypotheses were tested using survey data obtained from 504 respondents using structural equation modeling. The findings confirm that customer value and identification with the knowledge contributor significantly influence trust in OPK. Trust in OPK and identification with the knowledge contributor both significantly influence purchase intention, whereas trust in the platform neither influences consumers’ trust in OPK nor purchase intention. The findings of this study will help OPK platforms to increase their sales of knowledge products.


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