Consumer Response to Accumulated Transport Charges: Developing Single Attribute Mixture-Amount Preference Experiments

2016 ◽  
pp. 175-190
1996 ◽  
Author(s):  
Sanjay Dhar ◽  
Claudia Gonzalez-Vallejo ◽  
Dilip Soman

Author(s):  
Ferdinand Bollwein ◽  
Stephan Westphal

AbstractUnivariate decision tree induction methods for multiclass classification problems such as CART, C4.5 and ID3 continue to be very popular in the context of machine learning due to their major benefit of being easy to interpret. However, as these trees only consider a single attribute per node, they often get quite large which lowers their explanatory value. Oblique decision tree building algorithms, which divide the feature space by multidimensional hyperplanes, often produce much smaller trees but the individual splits are hard to interpret. Moreover, the effort of finding optimal oblique splits is very high such that heuristics have to be applied to determine local optimal solutions. In this work, we introduce an effective branch and bound procedure to determine global optimal bivariate oblique splits for concave impurity measures. Decision trees based on these bivariate oblique splits remain fairly interpretable due to the restriction to two attributes per split. The resulting trees are significantly smaller and more accurate than their univariate counterparts due to their ability of adapting better to the underlying data and capturing interactions of attribute pairs. Moreover, our evaluation shows that our algorithm even outperforms algorithms based on heuristically obtained multivariate oblique splits despite the fact that we are focusing on two attributes only.


2021 ◽  
Vol 13 (11) ◽  
pp. 5869
Author(s):  
Athanasios Krystallis ◽  
Vlad Zaharia ◽  
Antonis Zairis

Responding to the appeal for more research on the contingencies that shape the relationship between CSR and corporate performance, this paper incorporates environmental CSR, sets up an experimental survey and employs multiple mediation analysis with the aim to test the mediating role of consumer attributions on the CSR elements–consumer responses relationship; and further to examine the degree to which attributions are controllable, i.e., specific CSR elements activate specific type of attributions. Results support that attributions have a strong predicting power on consumer outcomes. The right time of appearance and the appropriate amount of resources committed to a CSR campaign, through the dual type of attributions they activate (more positive, i.e., values-driven and less negative, i.e., egoistic), impact positively on consumer reactions. In this respect, the study adds to past research showing that attributions are controllable, i.e., specific CSR initiative characteristics of a impact on the dimensionality of attributions and, through that, on specific target-types of consumer responses. This study thus shows that the activation of a dual-level attributions’ system is ambivalent, dependent on the character of the CSR campaign. The fact that specific CSR elements (i.e., CSR Timing) activate dual-level CSR motives that act complementarily indicates that managers should be clear about the capabilities of the elements of their CSR initiatives and how much impact they expect those elements to have on consumer response.


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