Product Evaluations: DKL LifeGuard and Myotron "Checkmate"

1998 ◽  
Author(s):  
Keyword(s):  
Product Evaluations

Stumbled Upon: Impact of Framing as Expected versus Unexpected on Product Evaluations

2014 ◽  
Author(s):  
JeeHye Christine Kim ◽  
Monica Wadhwa ◽  
Amitava Chattopadhyay
Keyword(s):  
Product Evaluations

I know what you are thinking: How theory of mind is employed in product evaluations

2021 ◽  
Vol 128 ◽  
pp. 405-422
Author(s):  
Elizabeth A. Minton ◽  
T. Bettina Cornwell ◽  
Hong Yuan
Keyword(s):  
Theory Of Mind ◽  
Product Evaluations

scholarly journals Brief use of a specific gun in a violent game does not affect attitudes towards that gun

2016 ◽  
Vol 3 (11) ◽  
pp. 160310 ◽  
Author(s):  
Joseph Hilgard ◽  
Christopher R. Engelhardt ◽  
Bruce D. Bartholow
Keyword(s):  
Public Policy ◽  
Video Games ◽  
Science Fiction ◽  
Real World ◽  
Political Party ◽  
Aggressive Behaviour ◽  
Product Placement ◽  
Gun Violence ◽  
Product Evaluations ◽  
Gun Ownership

Although much attention has been paid to the question of whether violent video games increase aggressive behaviour, little attention has been paid to how such games might encourage antecedents of gun violence. In this study, we examined how product placement, the attractive in-game presentation of certain real-world firearm brands, might encourage gun ownership, a necessary antecedent of gun violence. We sought to study how the virtual portrayal of a real-world firearm (the Bushmaster AR-15) could influence players' attitudes towards the AR-15 specifically and gun ownership in general. College undergraduates ( N  = 176) played one of four modified video games in a 2 (gun: AR-15 or science-fiction control) × 2 (gun power: strong or weak) between-subjects design. Despite collecting many outcomes and examining many potential covariates and moderators, experimental assignment did little to influence outcomes of product evaluations or purchasing intentions with regard to the AR-15. Attitudes towards public policy and estimation of gun safety were also not influenced by experimental condition, although these might have been better tested by comparison against a no-violence control condition. By contrast, gender and political party had dramatic associations with all outcomes. We conclude that, if product placement shapes attitudes towards firearms, such effects will need to be studied with stronger manipulations or more sensitive measures.

The Impact of Same versus Different Price Presentation on Travel Choice and the Moderating Role of Childhood Socioeconomic Status

2021 ◽  
pp. 004728752098890
Author(s):  
Marilyn Giroux ◽  
Drew Franklin ◽  
Jungkeun Kim ◽  
Jooyoung Park ◽  
Kyuseop Kwak
Keyword(s):  
Socioeconomic Status ◽  
Life History Theory ◽  
Price Dispersion ◽  
Price Difference ◽  
Product Evaluations ◽  
Relative Preference ◽  
Childhood Socioeconomic Status ◽  
Travel Decisions ◽  
Price Differences ◽  
The Impact

When making travel decisions, consumers are frequently exposed to a multitude of options, including differing price levels for the same product or service across a range of online travel agencies. The current research investigates how the magnitude of price dispersion in online pricing can influence travelers’ product evaluations and purchase intentions. Specifically, we predict that travelers will prefer a hotel with no price dispersion to a hotel with different prices listed when the price difference is small, or narrow. However, when the price difference is more pronounced, or wide, travelers will prefer a hotel with price differences compared to a hotel with no price dispersion. Four experiments demonstrate that this effect is consistent across different contexts and categories. Additionally, based on life history theory, we argue that the relative preference for the same versus different price dispersion will be moderated by the travelers’ childhood socioeconomic status (SES).

Mining numerical measure of consumers’ product evaluation expressed in words based on latent Dirichlet allocation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziang Wang ◽  
Feng Yang
Keyword(s):  
Latent Dirichlet Allocation ◽  
Product Evaluation ◽  
Online Reviews ◽  
Product Evaluations ◽  
Product Attributes ◽  
Data Set ◽  
Content Type ◽  
Face To Face ◽  
Online Retailers ◽  
Dirichlet Allocation

Purpose It has always been a hot topic for online retailers to obtain consumers’ product evaluations from massive online reviews. In the process of online shopping, there is no face-to-face interaction between online retailers and customers. After collecting online reviews left by customers, online retailers are eager to acquire answers to some questions. For example, which product attributes will attract consumers? Or which step brings a better experience to consumers during the process of shopping? This paper aims to associate the latent Dirichlet allocation (LDA) model with the consumers’ attitude and provides a method to calculate the numerical measure of consumers’ product evaluation expressed in each word. Design/methodology/approach First, all possible pairs of reviews are organized as a document to build the corpus. After that, latent topics of the traditional LDA model noted as the standard LDA model, are separated into shared and differential topics. Then, the authors associate the model with consumers’ attitudes toward each review which is distinguished as positive review and non-positive review. The product evaluation reflected in consumers’ binary attitude is expanded to each word that appeared in the corpus. Finally, a variational optimization is introduced to calculate parameters mentioned in the expanded LDA model. Findings The experiment’s result illustrates that the LDA model in the research noted as an expanded LDA model, can successfully assign sufficient probability with words related to products attributes or consumers’ product evaluation. Compared with the standard LDA model, the expanded model intended to assign higher probability with words, which have a higher ranking within each topic. Besides, the expanded model also has higher precision on the prediction set, which shows that breaking down the topics into two categories fits better on the data set than the standard LDA model. The product evaluation of each word is calculated by the expanded model and depicted at the end of the experiment. Originality/value This research provides a new method to calculate consumers’ product evaluation from reviews in the level of words. Words may be used to describe product attributes or consumers’ experiences in reviews. Assigning words with numerical measures can analyze consumers’ products evaluation quantitatively. Besides, words are labeled themselves, they can also be ranked if a numerical measure is given. Online retailers can benefit from the result for label choosing, advertising or product recommendation.

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