Final Fight

Period: 2000–2012. The millennium brings predictions of vast new TV channels for a rapidly growing Latino population. Yet Perenchio’s deal for a second network crushes new entrants. Telemundo finally rises under chief James McNamara. At a $2.7 billion price, Sony sells Telemundo to NBC. The dispute between Perenchio and Azcárraga Jean over the PLA intensifies and erupts into lawsuits. Fighting expands when Azcárraga Jean claims Televisa’s right to succeed Perenchio as owner of Univision but Perenchio departs by selling to Haim Saban. A courtroom showdown ends with a surprise settlement but with Univision still uncertain of programs after the PLA expires in 2017. At Telemundo, NBC’s ownership is fortuitous. From NBC’s infusion of cash, McNamara and successor Don Browne introduce “coproduction” agreements with foreign studios. Telemundo becomes the first major U.S. producer of Spanish-language programs. Univision takes a more historic stride. Resolving their dispute, Univision and Televisa sign an unprecedented “joint operating agreement.” Univision is promised permanent Televisa programming. Televisa claims enlarged control of Univision. The JOA is the first definitive agreement between the parties since Telesistema Méxicano founded SIN in 1961. Yet after 50 years, little in Spanish-language television has changed. Univision still is dominant among Latinos. Its main programs, novelas, are the same. The influence and grip of the Azcárragas remain.

Ambient Effect Filtering Using NLPCA-SVR in High-Rise Buildings

The modal frequencies of a structure are affected by continuous changes in ambient factors, such as temperature, wind speed etc. This study incorporates nonlinear principal component analysis (NLPCA) with support vector regression (SVR) to build a mathematical model to reflect the correlation between ambient factors and modal frequencies. NLPCA is first used to eliminate the high correlation among different ambient factors and extract the nonlinear principal components. The extracted nonlinear principal components are input into the SVR model for training and predicting. The proposed method is verified by the measured data provided in the Guangzhou New TV Tower (GNTVT) Benchmark. The grid search method (GSM), genetic algorithm (GA) and fruit fly optimization algorithm (FOA) are applied to determine the optimal hyperparameters for the SVR model. The optimized result of FOA is most suitable for the NLPCA-SVR model. As evaluated by the hypothesis test and goodness-of-fit test, the results show that the proposed method has a high generalization performance and the correlation between the ambient factor and modal frequency can be strongly reflected. The proposed method can effectively eliminate the effects of ambient factors on modal frequencies.

Guidelines produce positive outcomes all round in advertising campaign

Media Officer Charlotte Raynsford explains how an unexpected call from Fidelity International made for a successful collaboration and an approved dog breed in a new TV advertising campaign.

The German Bundesliga TV Rights Selling Model – Historical Study

The tv rights income for each Bundesliga club for the 1999/00 season was approximately 6 million euro, while for the 2001-2003 period, a new tv rights deal almost doubled the league annual revenues from 212 to 383 million euro. The next deal, for the 2004-2009 period, valued 440 million euro per season, and the 2009-2013 period deal was slightly lower, at the level of 412 million euro per season. Βundesliga succeeded a spectacular increase in their tv rights income with the 2013-17 period deal, securing 628 million euro per season. The purpose of the study is to show how the German football authorities marketed the German football championship and applied selling and income distribution mechanisms, in order to increase the rights value and the clubs revenues in a spectacular way over the last 20 years. The study could be useful to any football league that wants to develop and sell their televised product.

Dynamics between social media engagement, firm-generated content, and live and time-shifted TV viewing

Purpose The purpose of this paper is to study consumer engagement as a dynamic, iterative process in the context of TV shows. A theoretical framework involving the central constructs of brand actions, customer engagement behaviors (CEBs), and consumption is proposed. Brand actions of TV shows include advertising and firm-generated content (FGC) on social media. CEBs include volume, sentiment, and richness of user-generated content (UGC) on social media. Consumption comprises live and time-shifted TV viewing. Design/methodology/approach The authors study 31 new TV shows introduced in 2015. Consistent with the ecosystem framework, a simultaneous system of equations approach is adopted to analyze data from a US Cable TV provider, Kantar Media, and Twitter. Findings The findings show that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, but a negative effect on live viewing; tweets posted by the TV show (FGC) have a negative effect on time-shifted viewing, but no effect on live viewing; and negative sentiment from tweets posted by viewers (UGC) reduces time-shifted viewing, but increases live viewing. Originality/value Content creators and TV networks are faced with the daunting challenge of retaining their audiences in a media-fragmented world. Whereas most studies on engagement have focused on static firm-customer relationships, this study examines engagement from a dynamic, multi-agent perspective by studying interrelationships among brand actions, CEBs, and consumption over time. Accordingly, this study can help brands to quantify the effectiveness of their engagement efforts in terms of encouraging CEBs and eliciting specific TV consumption behaviors.

Is an overconfident CEO good for advertising investments?

In this study, we identify a link between CEO overconfidence and advertising investments by examining the specific impact overconfident CEOs have on stock market responses to new TV commercial announcements. Furthermore, we investigate whether family ownership moderates this relationship. Our results reveal a negative correlation between CEO overconfidence and stock market performance, and that family ownership magnifies this negative relationship. Our study thus highlights the role CEOs’ personal attributes have on influencing investors’ assessments of corporate advertising investments and reveals there is a potential for family ownership to intensify this negative relationship between CEO overconfidence and the market value of new advertising investments.