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In the age of digital media, customers have access to vast digital information sources, within and outside a company's direct control. Yet managers lack a metric to capture customers' cross-media exposure and its ramifications for individual customer journeys. To solve this issue, this article introduces media entropy as a new metric for assessing cross-media exposure on the individual customer level and illustrates its effect on consumers' purchase decisions.

Building on information and signalling theory, this study proposes the entropy of company-controlled and peer-driven media sources as a measure of cross-media exposure. A probit model analyses individual-level customer journey data across more than 25,000 digital and traditional media touchpoints.

Cross-media exposure, measured as the entropy of information sources in a customer journey, drives purchase decisions. The positive effect is particularly pronounced for (1) digital (online) versus traditional (offline) media environments, (2) customers who currently do not own the brand and (3) brands that customers perceive as weak.

The proposed metric of cross-media exposure can help managers understand customers' information structures in pre-purchase phases. Assessing the consequences of customers' cross-media exposure is especially relevant for service companies that seek to support customers' information search efforts. Marketing agencies, consultancies and platform providers also need actionable customer journey metrics, particularly in early stages of the journey.

Service managers and marketers can integrate the media entropy metric into their marketing dashboards and use it to steer their investments in different media types. Researchers can include the metric in empirical models to explore customers' omni-channel journeys.

Timely detection of emergency events and effective tracking of corresponding public opinions are critical in emergency management. As media are immediate sources of information on emergencies, the purpose of this paper is to propose cross-media analytics to detect and track emergency events and provide decision support for government and emergency management departments.

In this paper, a novel emergency event detection and opinion mining method is proposed for emergency management using cross-media analytics. In the proposed approach, an event detection module is constructed to discover emergency events based on cross-media analytics, and after the detected event is confirmed as an emergency event, an opinion mining module is used to analyze public sentiments and then generate public sentiment time series for early warning via a semantic expansion technique.

Empirical results indicate that a specific emergency can be detected and that public opinion can be tracked effectively and efficiently using cross-media analytics. In addition, the proposed system can be used for decision support and real-time response for government and emergency management departments.

This paper takes full advantage of cross-media information and proposes novel emergency event detection and opinion mining methods for emergency management using cross-media analytics. The empirical analysis results illustrate the efficiency of the proposed method.

The proposed method can be applied for detection of emergency events and tracking of public opinions for emergency decision support and governmental real-time response.

This research work contributes to the design of a decision support system for emergency event detection and opinion mining. In the proposed approaches, emergency events are detected by leveraging cross-media analytics, and public sentiments are measured using an auto-expansion of the domain dictionary in the field of emergency management to eliminate the misclassification of the general dictionary and to make the quantization more accurate.

This paper aims to understand the level of synergy between print and online activity and to assess the influence of print/online synergy on the log of circulation change.

In order to meet this aim the authors conducted an empirical study of 100 regional newspapers supplying news media services in the UK. Two hypotheses grounded in a conceptual model were developed. The authors used Pearson correlation and (stepwise) regression analysis to test two hypotheses (H1 and H2).

H1 provides us with some interesting findings. The first is that higher priced newspapers attract more unique Internet users and mobile Internet access. Higher priced newspapers who have been in business longer and have established brands attract more online readers. Also, because these issues are more expensive there is more incentive to go online to read the papers for free. Note that this last explanation is consistent with the analysis provided for H2, the beta for price is negative. The negative coefficient indicates that the circulation change of higher priced papers has reduced more. Therefore circulation change impacts greater upon premium price newspapers for an elite rather than a broad readership. The regression results presented here indicate that established firms with premium pricing, providing multiple platform distribution and specialist digital editions with free online content, have circulations that are reducing less.Practical implications – While reducing the rate of circulation decline, current levels of online presence are not reversing it. There is a need for online presence to be focused on more targeted segments/niches of circulation such as “hyper‐local” news. This suggests a much clearer consideration must be made by newspapers with a premium price for an elite rather than a broad readership.

News organizations now find themselves less socially relevant as consumers turn towards the Internet for alternative sources of “news”. News media firms are having to rebuild their brand identity and market positioning in the online marketplace. Higher priced newspapers have been in business longer and have established brand recognition for providing elite services. This is vital if they are to retain their community influence (as trusted sources of locally produced news, analysis and investigative reporting into public affairs). Commercial influence is determined by their social influence and the demise of newspapers would significantly threaten news plurality, democracy and public service journalism at the local community level.

The originality of this work concerns its specific focus on the influence of print/online synergy on the rate of circulation change. The news media industry is an under‐researched area of Internet scholarship. The study is significant on two counts: first, it estimates cross‐media synergies based on print and online interaction at an aggregated level; and second, it identifies different combinations of cross‐media exposure over individual media effects. It combines both print and online measures of circulation. Of most importance, the study is able to show that synergy is complementary and has had a positive effect on log circulation change by reducing it by a smaller number.

As an extension to Assael’s (2011) review on media synergy, this chapter examines the latest evolvement of media synergy research in the past 10 years by integrating studies from a wide range of leading journals.

We searched a total of 17 major journals in advertising, communication, and marketing from 2005 to 2014 and identified a total of 42 articles on media synergy. These studies were reviewed to assess the current status of media synergy research.

Studies of inter-media interaction at the individual level provide mixed support for a media synergistic effect, and the occurrence of this effect demands certain boundary conditions. Research on multi-media engagement has been gaining momentum in the past few years and is a promising subject in media synergy research.

We envision two growing approaches in future media synergy research: the neuroscientific approach and the data mining approach.

This chapter posits that media synergy research has evolved in the most recent years to a new phase, which is multi-media engagement. Hence, this chapter extends Assael’s work in terms of explicating media synergy in the context of social media engagement and identifying research gaps in current literature.

This chapter presents the many premises of this book. It first discusses the book’s central questions and lays out the design of the large multi-national and multi-method study, carried out across Northern Europe. It also places the book at the interdisciplinary space between contemporary innovation economics and cultural and social theory. It then discusses the complex set of social processes that have conditioned the phenomena that the book studies – how and why are the contemporary audiovisual media industries co-innovating and converging with other sectors including education, tourism and health care? Within this framework, it discusses the effects of the broader individualisation and mediatisation processes, of media convergence, of the emergence of cross-media or transmedia strategies, of the evolution of the service and experience economies and of the emergence of creative industries policy frameworks.

Aiming to explore how audience consume and produce media events in the digital, distributed and social era we live in, the paper analyzes the viewing patterns of video news items during a media event (the week of Donald Trump's presidential visit to Israel, the first to a country outside the US), compared to a parallel comparable “ordinary” period (two weeks later, in which no inordinacy events occurred). The comparison focused on simultaneous activities of audiences engaged with the event, with either related (i.e. second screening) or unrelated (i.e. media multitasking).

The research is a diary study based on a dedicated mobile app in which respondents reported their news-related behavior during two periods: a media event period and comparable “ordinary” period.

Participants reported watching significantly more news video items in the first day of the media event week compared to the first day of the “ordinary” week. More than half of the viewing reports of the media event were not on TV. In the media event week, there were significantly higher percentages of viewing reports on smartphones/computers and significantly higher percentages of second-screening reports.

This is the first study that empirically explores the viewing patterns of video news items during a media event, compared to an “ordinary” period, focusing on media second screening of audiences engaged with the event. This comparison may reveal whether (1) media events still retain their centrality in a multi-screen era and (2) the role of the internet and online social media in the experience of media events.

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.

This study aims to examine the cross-media effect of Super Bowl ads on online search behavior. Furthermore, the authors explored the role of ad likability in the effect.

This study used a quasi-experiment method to test the hypotheses. The subjects of investigation are the brands advertised during the past ten years of Super Bowl from 2011 to 2020 (n = 389). Search volume index data were collected through Google Trends. The authors used Ad Meter ratings to measure ad likability.

The findings indicate that Super Bowl advertisements stimulate consumers' likelihood to seek information about the advertised brands via search engines. The search volumes for brands hit a peak right after the Super Bowl advertising exposure. Additionally, ad likability influenced the increase in search volume. Consumers tend to search a brand online if they liked its Super Bowl ad.

The study contributes to the literature on Super Bowl advertising effectiveness by examining the impact of Super Bowl advertising on online search behavior and the role of ad likability in the relationship. Marketers will be able to utilize the increase in search volumes after the Super Bowl advertising exposure to further enhance brand engagement.

This study aims to establish two aspects: first, whether green advertising through multiple media (repetition versus reversal) generates a positive purchase intention than green advertising with a single medium repeat one medium at different levels of product involvement (high versus low level). Second, whether a green advertisement presented through multiple media influences green message credibility, green advertiser credibility, green advertisement credibility, green brand credibility, green ad engagement, attitude toward the green brand and green purchase intention (GPI) than a green advertisement presented through single medium repetition under different level of product involvement, green advertising, media effects, consumer attitude, purchase intention and product involvement.

3 × 2 mixed factorial design is used to examine the audience exposure towards repetitive green ads on multiple media sources such as television, the internet and print. This has a more significant impact on environmental claims in terms of green message credibility, green advertiser credibility, green advertisement credibility, green brand credibility, green ad engagement, attitude toward the green brand and GPI compared to audiences exposed to the same ads on a single medium under high level and low level of product involvement.

The audience was exposed to several media situations, repeating green advertising, has a more significant impact on environmental claims in terms of green message credibility, green advertiser credibility, green advertisement credibility, green brand credibility, green ad engagement, attitude toward the green brand and purchase intention rather than for the audience who encounter a green ad with a high and low degree of product involvement in a single medium.

Only a few studies have measured media synergy effects, and to the best of the authors’ knowledge, no one has measured media effects on green advertisements. By examining different media combination effects of green ads on the audience, the knowledge of green marketing communication and its marketing strategies has been expanded.

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.