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This chapter establishes the conceptual and analytic framework for the book. It relates not only to much of the existing work in evolutionary and institutional economics, but also to work in cultural science and cultural semiotics domains as well as in media convergence and transmedia studies. The central concept it first deploys is ‘innovation systems’ as applied in national, regional, international and sectoral contexts. It then builds on the general theory of economic evolution by Kurt Dopfer and Jason Potts and reviews the tools this theory provides to carry out a meso-level analysis of industries co-innovating and converging. It then proposes a new concept – ‘cross-innovation’ – to refer to the emergence of new structures and ‘rules’ at the boundaries of existing industries.

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.

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.

The purpose of this paper is to explore the factors determining which communication mediums influence a given consumer deciding to purchase a specific product.

Using a consumer survey and a multivariate probit (MVP) model, the authors explore consumer information searches related to purchases in nine categories: milk, instant noodles, shampoo, mobile phones, televisions, cars, mobile communication services, credit card services, and life insurance.

The media channels that motivate a given consumer to make a given purchase vary depending on both socio-demographic variables and product categories.

As consumers can now obtain product information through different and multiple media channels according to their personal characteristics and the category of the product they seek to purchase, these findings will help companies develop media planning strategies that will effectively target specific market segments.

Unlike previous studies, the authors consider which media channels actually affect a consumer’s product purchase decisions, and the authors do so across product categories and media types to provide practical implications for media planning. Furthermore, this is the first application of the MVP model in this context.

The chapter discusses the characteristics of audiovisual (AV) media sectors in the Baltic Sea region. Therein it focuses on the specifics of media industries in small countries in the region as they are challenged in ways notably different from large countries with large domestic markets for media content. It discusses the differences between the AV media industries in the Nordic and Baltic countries and suggests that while in the first case long-term welfare society policies and conscious policy-driven system building have conditioned growth and international success then also in the second case innovation policy rationales have facilitated recent growth and dynamics. It then discusses the specific challenges, especially platformisation to small media industries in contemporary globalising media markets, and suggests that opportunities to resist these challenges may be in local inter-sectoral cooperation, that is, in building cross-innovation systems.

This chapter introduces the topic of cooperation and co-innovation between the audiovisual media and education sectors. It first discusses the emergence of educational film approximately a hundred years go – together with a new institutional framework, industry media, rulebooks, etc. It then discusses the ways public service media have addressed educational programming over the decades, including developing complex cross-media strategies and educational content databases more recently. The second half of the chapter is dedicated to the emergence of educational digital games, with their own institutional setups, production cultures, and training programmes. The chapter points, however, to a relative lack of cooperation between commercial game producers and educational institutions to date.

This study aims to identify distinct online media user segments on the basis of three media theories, namely media displacement theory, media complementarity theory and media richness theory.

A large‐scale, mobile‐based web survey was conducted in Japan to assess behavioural variables (media time allocation, media richness perceptions, and media access motives) and demographics.

The latent class model reveals four distinct media user segments: dual media users (i.e. users of the internet on both the mobile and the PC); mobile internet users; PC internet users; and passive online users. Dual media users are likely to: spend more time on information searching; perceive greater levels of media richness in online media; and share common motives for accessing internet media via both mobile and PC. The findings are consistent with our theoretical expectations.

Any exploratory clustering of consumers is by definition a snapshot that depends on time and place. Consequently the findings would very likely have been different if the underlying data had been sampled at another time or in different locations. Despite this limitation the findings corroborate some of the basic tenets of theories of media competition and complementarity.

The fact that almost a third of online media users access internet content via both mobile and PC suggests the increasing importance of cross‐media strategies.

This is a pioneering study that examines media competition and complementarity between the mobile internet and the PC internet.

Physical stores are increasingly dependent on impulse visits and the impulse purchases of passers-by. Interactive advertising screens in store windows could help retailers increase impulse-visit urges and impulse-buying urges. However, the effects of interactive screens in physical surroundings have not been studied before. Therefore, this study aimed to examine the effect of interactive screens on impulse urges and gain insight into the underlying mechanism that explains the possible effect.

An interactive screen was placed in a store window. Using three field experiments, we studied the effect of interactivity-level (high vs low) on the impulse-visit and impulse-buying urges of passers-by, and the mediating role of self-agency in these effects.

Highly interactive (compared to less interactive) advertising screens in store windows positively affect impulse-visit and impulse-buying urges through self-agency. Retailers can therefore use interactive advertising screens to increase the number of impulse purchases if feelings of self-agency are activated.

This is the first study to examine the extent to which interactive screens in a store window enhance the impulse-visit and impulse-buying urges of passers-by and the mediating factor of these effects. By conducting three field experiments, we achieved a high external validity and managed to share very reliable results owing to the replication of the findings.