scholarly journals Movie Production Efficiency Moderating between Online Word-of-Mouth and Subsequent Box Office Revenue

2020 ◽  
Vol 12 (16) ◽  
pp. 6602
Author(s):  
Sangjae Lee ◽  
Joon Yeon Choeh
Keyword(s):  
Production Efficiency ◽  
Word Of Mouth ◽  
Linear Regression Analysis ◽  
Ensemble Methods ◽  
Prediction Performance ◽  
Negative Effects ◽  
K Nearest Neighbors ◽  
Box Office ◽  
Online Word Of Mouth ◽  
The Relationship

The studies are almost nonexistent regarding production efficiency of movies which is determined based on the relationship between movie resources powers (powers of actors, directors, distributors, and production companies) and box office. Our study attempts to examine how efficiency moderates the relationship between eWOM (online word-of-mouth) and revenue, and to show the difference in prediction performance between efficient and inefficient movies. Using data envelopment analysis to suggest efficiency of movies, movie efficiency negatively moderates the effects of review depth and volume on subsequent box office revenue compensating negative effects of smaller box office in previous period while efficiency exert a positive moderating effect on the influences of review rating and the number of positive reviews on revenue. This shows that review depth and volume are affected by the slack of movie resources powers for inefficient movies, and high rating and positive response for efficient movies to affect revenue. The results of decision trees, k-nearest-neighbors, and linear regression analysis based on ensemble methods using eWOM or movie variables indicate that the movies with the inefficient movie resources powers are providing greater prediction performance than movies with efficient movie resources powers. This show that diverse variation in the efficiency of movie resources powers contributes to prediction performance.

scholarly journals The impact of online review helpfulness and word of mouth communication on box office performance predictions

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Sangjae Lee ◽  
Joon Yeon Choeh
Keyword(s):  
Word Of Mouth ◽  
Nearest Neighbor ◽  
Prediction Performance ◽  
Box Office ◽  
Performance Predictions ◽  
Review Helpfulness ◽  
Product Sales ◽  
Word Of Mouth Communication ◽  
The Impact ◽  
Box Office Performance

Abstract While electronic word-of-mouth (eWOM) variables, such as volume and valence have been posited in previous studies to consistently affect product sales, there is a lack of studies on the different contexts and outcomes that affect the importance of eWOM variables. In order to fill this gap, this study attempts to use the helpfulness of reviews and reviewers as moderators to predict box office revenue, comparing the prediction performances of business intelligence (BI) methods (random forest, decision trees using boosting, the k-nearest neighbor method, discriminant analysis) using eWOM between high and low review or reviewer helpfulness subsample in the Korean movie market scrawled from the Naver Movies website. The results of applying machine learning methods show that movies with more helpful reviews or those that are reviewed by more helpful reviewers show greater prediction performance, and review and reviewer helpfulness improve the prediction power of eWOM for box office revenue. The prediction performance will improve if the characteristics of eWOM are likely to be combined to contribute to box office revenue to a greater extent.

Box office performance: Influence of online word-of-mouth on consumers’ motivations to watch movies

2019 ◽  
Vol 47 (10) ◽  
pp. 1-17
Author(s):  
Kuo-Ting Yu ◽  
Hsi-Peng Lu ◽  
Chih-Yu Chin ◽  
Yu-Shiuan Jhou
Keyword(s):  
Intrinsic Motivation ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Positive Impact ◽  
Positive Influence ◽  
Production Costs ◽  
Equation Modeling ◽  
Box Office ◽  
Online Word Of Mouth ◽  
Marketing Budgets

Content created by the movie industry is high-risk, as production costs and marketing budgets are massive but box office results can be volatile. We examined the effect of online word-of-mouth on consumers’ motivation and intention to watch movies. The proposed model was tested in a survey with 337 consumers using a structural equation modeling approach. The results showed that movie reviews by professional movie media writers had a substantial positive impact on consumers’ intrinsic motivation for presenting themselves, via transmitting their values and expressing personal favor by watching movies. Popular media also had a positive influence on the intrinsic motivation of perceived enjoyment, and social media had the broadest influence on consumers’ intrinsic motivation. Thus, movie makers and marketers should focus on the critical platform of online word-ofmouth to enhance consumers’ motivation to watch movies.

scholarly journals Association between TSH Values and GFR Levels in Euthyroid Cases with Metabolic Syndrome

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
H. Keskin ◽  
K. Cadirci ◽  
K. Gungor ◽  
T. Karaaslan ◽  
T. Usta ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Kidney Disease ◽  
Linear Regression Analysis ◽  
Correlation Coefficients ◽  
Multiple Linear Regression Analysis ◽  
Thyroid Stimulating Hormone ◽  
Negative Effects ◽  
Stepwise Variable Selection ◽  
Kidney Functions ◽  
The Relationship

Background. Metabolic syndrome (MetS) is associated with the risk of developing chronic kidney disease. Although the negative effects of high thyroid-stimulating hormone (TSH) values on glomerular filtration rate (GFR) levels have been known for years, the negative effects of increased TSH on GFR in euthyroid cases have been reported in recent years. This study was aimed at investigating the association between the effect of increased TSH values and estimated-GFR (eGFR) levels in euthyroid cases with MetS. Methods. For this hospital-based descriptive study, 191 MetS cases (123 females, 68 males) were evaluated. Those whose TSH was not within 0.5–4.5 uIU/mL, eGFR was <40 mL/min/1.73 m2, and/or reported any thyroid/kidney disease were excluded. Partial correlation coefficients were calculated to investigate the relationship between the eGFR values and several other numerical variables while controlling for age and BMI in addition to the adjusted gender effect. Thereafter, the multiple linear regression analysis with a stepwise variable selection approach was used to reveal the independent factors that could affect the logarithmically transformed eGFR. Results. The median age was 52 (19–65) years, the median eGFR was 94.3 (41.3–194) mL/min/1.73 m2, and the median TSH was 1.58 (0.50–4.50) uIU/mL in the whole group. Increased TSH even in the normal range was associated with eGFR after adjusting for age and body mass index (BMI), especially in females. The high age (b = −0.160, p = 0.005 ), high BMI (b = −0.134, p = 0.020 ), high TSH (b = −0.380, p < 0.01 ), and high uric acid (b = −0.348, p < 0.01 ) were found as significant predictors of the eGFR in MetS patients. Conclusion. Independent of age and BMI, elevated TSH even in the euthyroid range showed an association with the eGFR in female MetS cases who had normal kidney functions. This correlation was stronger than the correlations between the eGFR and the MetS diagnostic parameters. These findings need further studies on the issue..

The moderating effect of movie production efficiency on the relationship between eWOM and review helpfulness

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sangjae Lee ◽  
Joon Yeon Choeh
Keyword(s):  
Production Efficiency ◽  
Nearest Neighbor ◽  
Online Reviews ◽  
Moderating Effect ◽  
K Nearest Neighbor ◽  
Content Type ◽  
Online Word Of Mouth ◽  
Study Results ◽  
Review Helpfulness ◽  
The Relationship

Purpose This paper aims to intend to study the effect of movie production efficiency on eWOM and the moderating effect of efficiency on the relationship between eWOM and review helpfulness for movies. Design/methodology/approach Production efficiency is suggested by comparing the power of movie resources (e.g. the power of actors, directors, distributors, production companies) against box-office revenue through a data envelopment analysis (DEA). Findings The study results present that the number of reviews, the number of reviews by reviewers and review extremity are greater in an efficient subsample than in an inefficient subsample. For efficient movies, the review depth and the strength of the sentiments in the reviews are more positively related to review helpfulness. The prediction results for review helpfulness using the k-nearest neighbor method and automatic neural networks show that the efficient subsample provides a significantly lower prediction error rate than the inefficient subsample. The study results can support the effective facilitation of helpful online movie reviews. Originality/value As the numbers of online reviews are increasingly used to provide purchase decision support, it becomes crucial to understand which attributes represent average helpful reviews for movies. While previous studies have examined eWOM (online word-of-mouth) variables as predictors of helpfulness on movie websites, the role of the production efficiency of movies has not been examined considering the relationship between eWOM and review helpfulness for movies.

Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance

2014 ◽  
Vol 33 (2) ◽  
pp. 241-258 ◽  
Author(s):  
Shyam Gopinath ◽  
Jacquelyn S. Thomas ◽  
Lakshman Krishnamurthi
Keyword(s):  
Word Of Mouth ◽  
Brand Performance ◽  
Online Word Of Mouth ◽  
The Relationship

Impact of Blogs on Sales Revenue

2013 ◽  
pp. 106-120
Author(s):  
Guoying Zhang ◽  
Alan J. Dubinsky ◽  
Yong Tan
Keyword(s):  
Content Analysis ◽  
Network Analysis ◽  
Word Of Mouth ◽  
Estimating Equation ◽  
Opinion Leaders ◽  
Future Research ◽  
Analysis Methodology ◽  
Box Office ◽  
Online Word Of Mouth ◽  
High Influence

In this study, blog data were collected and network parameters were captured to represent three common measurements of online Word-Of-Mouth: intensity, influence level, and dispersion. These parameters were then analyzed using a General Estimating Equation (GEE) model to test their effects on average weekly movie box office receipts. Findings indicated that all three parameters were significant in the model. The aggregated degree, representing WOM intensity, was positively significant, which was consistent with results from extant research. Further, diameter of a network, representing WOM dispersion, was observed to be positively significant, which validated the importance of spreading WOM as far as possible. Counter-intuitively, the aggregated size node, representing WOM influence level, was ascertained to be negatively significant, which might be explained by the possible negative stance from opinion leaders with high influence level. Applying network analysis methodology to blog entries, the present work differentiated itself from extant WOM literature that has focused chiefly on content analysis. The findings also provided managerial insights to companies interested in utilizing blogs as online WOM for marketing initiatives and implications for future research.

The interactive impact of online word-of-mouth and review helpfulness on box office revenue

2018 ◽  
Vol 56 (4) ◽  
pp. 849-866 ◽  
Author(s):  
Sangjae Lee ◽  
Joon Yeon Choeh
Keyword(s):  
Word Of Mouth ◽  
Content Type ◽  
Factors Affecting ◽  
Box Office ◽  
Online Word Of Mouth ◽  
Final Sample ◽  
Online User Reviews ◽  
Review Helpfulness ◽  
Product Sales ◽  
The Impact

Purpose While a number of studies examined the eWOM (online word-of-mouth) factors affecting box office, the studies on the impact of review helpfulness on box office are lacking. The purpose of this paper is to fill the void in previous studies and further extend prior work regarding eWOM and box office. In order to explain the interaction effect of helpfulness with other variables on product sales, this study posits that review characteristics such as number of reviews, review rating, review length interact with review helpfulness to have an influence on box office. Further, as the studies that have examined whether eWOM factors are significant in box office performances for the international markets other than US are lacking, this study is targeting Korean markets to validate the effect of eWOM on box office. Design/methodology/approach This study used publicly available data from www.naver.com to build a sample of online review data concerning box office. The final sample of the study included 2090 movies. Findings The results indicated that in cases when the review is helpful, the number of reviews and review length are more greatly influencing box office. Review rating, review extremity, and helpfulness for reviewer are important determinants for review helpfulness. Practical implications Managers can concentrate on the review rating and review extremity of online customer reviews in the design of online sites for movies. The design of user review systems can follow the direction that promotes more helpfulness for online user reviews based on an enhanced understanding of what drives helpfulness voting. Originality/value Given that previous studies on the effect of review helpfulness on box office are lacking, it contributes to eWOM literature by investigating the impact of review helpfulness on box office revenue.

Satisfaction with service recovery: moderating effect of age in word-of-mouth

2015 ◽  
Vol 32 (6) ◽  
pp. 470-484 ◽  
Author(s):  
Beatriz Moliner-Velázquez ◽  
María-Eugenia Ruiz-Molina ◽  
Teresa Fayos-Gardó
Keyword(s):  
Word Of Mouth ◽  
Causal Attributions ◽  
Service Recovery ◽  
Moderating Effect ◽  
Direct Effects ◽  
Content Type ◽  
Multigroup Analysis ◽  
Online Word Of Mouth ◽  
The Relationship ◽  
Effect Of Age

Purpose – The purpose of this paper is, first, to analyze the direct effects of the relationship chain “causal attributions and recovery efforts → satisfaction with service recovery → conventional and online word-of-mouth intentions” and, second, to study the moderating role of age in the relationship between satisfaction and subsequent word-of-mouth. Consumer assessment and behavior associated with service recovery is a topic of considerable interest for both academics and practitioners. Design/methodology/approach – From an empirical perspective, this paper uses a sample of 336 individuals who experienced service failure at a retail store to estimate a structural equation model. Additionally, a multigroup analysis allows testing the existence of a moderating effect of age on the hypothesized relations. Findings – Results allow to confirm the direct effects of causal attributions and recovery efforts on satisfaction with service recovery, and the impact of the latter, in turn, on conventional and online word-of-mouth intentions. Furthermore, the multigroup analysis reveals that age moderates the relationship between satisfaction and online word-of-mouth. Practical implications – In service recovery situations, retailers should concentrate their efforts at providing evidence of the failure as temporary and inevitable as well as offering material or economic compensation. Originality/value – This paper contributes to the identification of the most relevant variables influencing customer satisfaction with service recovery in a retail context. In addition to this, these results provide support to the importance of age on online word-of-mouth behavior.

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