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The aim of this paper is to provide an approach to analyze the performance of TV programs and to identify what can be done to improve them.

The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the Ng-model, Grey relational analysis (GRA), and principal component analysis (PCA) were applied to evaluate the programs, using audience, share, and duration as the performance criteria.

By comparing TOPSIS to the Ng-model, PCA, and GRA, we verified that SVD and bootstrap SVD TOPSIS provide a good balance between equal-weights TOPSIS and the other models. This is because SVD and bootstrap SVD TOPSIS break down the data to a higher degree, but are less impacted by outliers compared to the long tail models.

To determine which TV programs should be replaced or modified is a complex decision that has not been addressed in the literature. The advantage of using a multi-criteria decision-making (MCDM) approach is that analysts can choose as many criteria as they want to rank TV programs, rather than relying on a single criterion (e.g., audience, share, target rating point).

This work represents the first time that robust MCDM methodology is applied to an audience data set to analyze the performance of TV programs and to identify what can be done to improve them. This study shows the application of a detailed methodology that is useful for the improvement of TV programs and other entertainment industry content.

The purpose of this paper is to analyse simultaneously the effect of attendance at the stadium on the size of the TV audience, taking into account the effect of price and uncertainty of outcome hypothesis on both the TV audience and stadium attendance. The paper assumes that a home-team effect exists and influences potential spectators’ decision to go to the stadium or to stay at home.

The data set consists of all 228 matches broadcast live and on open air from the Brazilian League across the seasons 2013–2015. The econometric approach of the present paper is based on three simultaneous equations through the Three-Stage Least Square estimator. This method is chosen in order to avoid endogeneity between ticket prices and live attendance and, consequently, with the television audience, too.

This work finds a correlation between TV audience and attendance at the stadium. However, it has been demonstrated that those matches that are more expensive have a larger TV audience. Scheduling and UO appear to be relevant for TVs and clubs. Scheduling is relevant, as weekend matches have a smaller TV audience but higher attendance at the stadium.

The findings indicate that Brazilian football clubs should find optimal prices for matches in order to maximise both TV audience and attendance.

Analysing simultaneously the effect of attendance at the stadium on the size of the TV audience, taking into account the effect of price on all three of these variables, is new. Another novel aspect is the use of data on audience size to observe a possible substitution effect. The authors also distinguish between home and away matches, assuming that a home-team effect exists and influences potential spectators’ decision to go to the stadium or to stay at home.

This study aims to explore the determinants of behavioral intentions during the previsit stage by investigating the influence of audience involvement with the audiovisual product and the mediating role played by place attachment.

Structural equation modeling was employed to verify the hypothesized relationships using the AMOS 24.0 program to assess the proposed model. A total of 564 young Chinese audiences who had watched the Thai television (TV) series “I Told Sunset About You” but had not previously visited Phuket, Thailand, were collected using the online survey as participants.

The findings indicate that audience involvement has a significant positive effect on place attachment and behavioral intentions during the previsit stage. Place attachment significantly influences behavioral intentions. Moreover, the result suggests that place attachment significantly mediates the relationship between audience involvement and behavioral intentions.

This study contributes to film tourism research by revealing the crucial role of audience involvement in enhancing place attachment and fostering behavioral intentions toward depicted destinations among potential tourists.

This study suggests that destination marketers should be aware of the soft power of films and TV series to promote destination and attract prospective tourists.

This study provides a distinctive perspective on the interrelationships between audience involvement, place attachment, and previsit behavioral intentions. Additionally, it sheds light on the underlying mechanisms influencing potential tourists' behaviors in the context of film tourism.

Sports leagues, such as Major League Soccer (MLS), aim at expanding their audience at global level through alternative media other than television (TV). Brazil stands out among football media consumer audiences as one of the main markets worldwide. Brazilian MLS consumers play the role of fans to converge between TV media and digital platforms, in a phenomenon that has been called Social TV.

The aim of the current research is to investigate how Brazilian MLS fans' consumption process is established through Social TV; it was done based on netnography performed between 2018 and 2020.

Results have indicated that Social TV is a catalyst of practices associated with fan culture: cultural convergence, technologies appropriations, poaching experiences and production of a collective intelligence.

Current research reinforces how ethnography methodology has been gaining room as likely consumer market research, working as alternative method based on the prevalence of focus group and survey techniques.

Social TV phenomenon presents itself as a possibility to expand and direct marketing strategies focused on sports management, just as the media often consumed by fans.

From the results, it is possible assuming that connections between fans are punctually guided by their relationship with the cultural object consumed by them in a network relationship whose actors deindividualize sociocultural practices such as consumption. Thus, the main contribution of the study lies on identifying how fan culture can be autonomously established in the market arena in comparison to other cultures.

This study aims to examine entertainment TV shows' social media accounts to theoretically and practically explore the relationship between social media engagement and the performance (represented by ratings) of such shows.

By using the data of a popular TV show in the USA, The Voice, the present study examined the messages on the Facebook fan page of the show and how these messages correlated with the ratings of the show. Social media usage data in the course of three seasons (Seasons 10–12, 82 episodes in total) were collected from Facebook (N = 1,192,722 messages). Both regression and sentiment analysis were performed.

Overall, the findings revealed positive relationships of TV show ratings with both passive social media engagement (Facebook likes) and the number of official posts. However, active social media engagement was not positively related to show ratings.

By enhancing understanding of audience engagement with social media, our research extends knowledge related to the nature and development of viewer involvement with entertainment across different media platforms. Our results also help clarify how interpersonal communication (social media comments) and mass communication (TV programs) intersect. Practically, the findings could be applied to improve the interaction of TV audiences with show content, provide insights into the future of social TV development and inform decision-making amongst TV industry professionals.

The audience for in-app mobile advertising is comparable in size and viewing rate to that for TV but divides its attention across a highly fragmented selection of apps, each competing for advertiser revenue. In market, the assumption is that this audience is deeply segmented, allowing individuals to be contextually targeted on the apps that define their interests and needs. But that assumption is not supported by the Laws of Double Jeopardy and Duplication of Viewing which closely predict usage in most mass media. The purpose of this study is to benchmark in-app audiences against these laws to better understand market structure.

The authors collected nearly 3,000 h of screen time data from a panel of Generation Z respondents and tested the predictive validity of two models against observed interactions with 23 popular apps in six categories over a week.

Results show that contrary to industry assumptions, audience for in-app advertising is not segmented. Engagement on individual apps and audience sharing rates between apps and app formats is predicted well.

Optimising in-app advertising for short-term activation only limits its potential for brand building. These findings encourage advertisers to schedule online campaigns for brand reach as well as sales lift, by advancing current understanding of audience behaviour.

Many authors have called for consistency in metrics to compare on- and off-line media performance. This study bridges that gap, demonstrating how reach and frequency measures could inform digital scheduling.

This paper aims to investigate the relative influence of advertising and word of mouth (WOM) for new season TV programmes, both new and returning.

The study’s longitudinal research design tracks individuals before and after possible exposure to advertising and/or positive WOM (PWOM) to model the effects of both paid versus earned media on behaviour.

This study provides contrary evidence to previous research that suggests that WOM has more influence on consumers than advertising. By controlling for viewers’ benchmark probabilities of viewing the TV programme, the effect of receiving PWOM becomes insignificant, whereas the effect of TV advertising remains unchanged. Because WOM is commonly exchanged between people with shared interests, it reaches an audience that is already highly disposed to view the TV programme.

The findings implicate that we need to reinvestigate the power of WOM to avoid misattribution of effects. This study is only study in one category, which means replication and extension to more categories are needed. The limitations of the study include the inability to control for creative differences in the execution of programme promotions or examine possible cross-media synergies for multimedia campaigns.

Findings have implications for how much to invest in WOM-generating activities. Findings also have wider implications for cross-media research and media-mix models, as different media may reach audiences with differing predispositions to act.

This is one of the rare individual-level, longitudinal studies that investigate the influence of WOM in comparison to advertising.

Sports leagues have stood out in the entertainment industry due to their great economic value and cultural impact. This is the case of the American sports leagues, with emphasis on the National Basketball Association (NBA), whose largest Latin American market lies on Brazil. The aforementioned league’s audience is constantly growing, a fact that can be partially explained by the encouragement provided for its viewers to interact through social media, in a phenomenon called social TV. Accordingly, the aim of the present study is to investigate how social TV works as a means for Brazilian fans to coproduce their NBA broadcasting enjoyment through social media interactions.

The authors conducted a netnography on the community of fans engaged in Twitter hashtag #NBAnaESPN, which was released by ESPN to promote audience integration during NBA games' broadcasting.

A theorization about the role played by social TV in the way fan culture articulates through social media to enjoy broadcasting media products was herein presented. The findings of this study have evidenced three categories concerning the role played by television broadcasting, social media and the fandom in NBA consumption by Brazilian fans. Based on these findings, the authors got to the conclusion that social TV establishes a mediatized environment where fan culture can be articulated through social media to enable interactions about television broadcasting.

The study was limited to members of the Brazilian NBA audience who engage in the official social media of the league’s broadcasting.

The study heads toward a theoretical generalization based on the research results.

Using the internet parallel to or after television (TV) consumption changes the way people receive news. The way information is framed by the media has been found to influence the behavior of news recipients. The purpose of this paper is to hypothesize that the exposure to TV media frames would affect a lay audience’s online information-seeking behavior.

In an experiment combining eye tracking and content analysis, participants (n=72) were exposed to one of three TV clips with different media frames (based on a full-sample content analysis) that focused on Alzheimer’s disease. After exposure, participants informed themselves about the issue online. Eye tracking allows to investigate whether individuals mainly scan information, or whether they compute information on a higher level of attention (use more thorough deliberate comparison of information and really reading information).

Three different frames of online content were identified. Framing was found to influence the individual online searching and reading of information on a descriptive level (entering search words and viewing website content) to some degree, but not on a procedural level (such as selecting online search results).

This study makes a significant contribution to the literature embedding an established theoretical process like framing effects into the internet literature. Regarding the broader theoretical context, this study shed some light on cross-media framing effects on online behavior. Applying the psychological perspective of framing theory to explain and predict online searching behavior is beneficial for specific types of online search behavior. Main limitations are the not representative student sample and the forced task that participants had to inform themselves about Alzheimer’s disease online.

The results have practical implications for the creation of TV-related websites. There can be a positive, profitable synergy of TV and online websites. The websites can complement the TV programs with the focus on information needs of the recipients depending on the TV activated audience frames. Therefore, media managers would do well to plan the contents of their websites as internet-based resources that meet the activated information needs.

This study is among the first to investigate the framing effects of TV on the online information searching behavior of individuals. A deeper understanding of how media frames, especially from TV, are affecting online information seeking will allow researchers to better explain and predict online user behavior and information needs. But still, more research is needed.