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The meta‐trends that are revolutionizing the media and entertainment industry are also rocking other industries. Many industries can learn from this IBM Consulting article’s presentation of trends, its recommended new business model and a scenario of what the industry will be like in the year 2010. The dilemma: digital technology that enables customers to easily copy and distribute new offerings threatens the economics of the industry but also opens new business frontiers. The need: to create an open media company. The closed and proprietary media and entertainment business models of years past will give way to open media business strategies that will enable forward‐looking companies to exploit significant opportunities for profitability within these trends. The economics: while, at present, digital technologies, such as those that permit easy copying, undermine the traditional economics of the media business they also can create new business models and opportunities. New digital technologies will support improved business intelligence, thus enabling the open media firm to identify higher‐value business components and assets. In the uncertain markets described in the scenario, companies will employ advanced data analytics to adapt and respond to changing conditions. Digital management capabilities will likely become a core competency and differentiator. The guidelines: ten strategic guidelines for players evolving toward becoming the open media company of the future are offered.

This study aims to understand the impact of content orientation, media type, and information richness on fan engagement in multi-sport global events.

The authors conducted a content analysis on Twitter posts recording over two million user impressions from the official account managed by the International Olympic Committee for India during the Tokyo Olympic Games 2020. A multivariate Poisson model using the Bayesian approach was used for analyzing data.

This study found that fan engagement is likely to be higher for player-oriented content as opposed to team-oriented content. Also, the usage of photos to enhance engagement worked better than any other media type. Finally, the results revealed that the inclusion of hashtags has a positive effect on fan engagement for tweet comments but not for like count and retweet count.

The study highlights the differences in player versus team-oriented posts in global multi-sport competitions. The findings have significant implications for practicing sport managers by informing them about key elements that drive fans to engage in online communication.

This study aims to explore if, with increasing consumer empowerment, consumers are actively pulling content through a multitude of platforms rather than relying on media owners to dictate their product choices. How do media owners and content producers move toward a more reciprocal and interactive business strategy to deal with the change?

The study was qualitative and exploratory in nature and utilized in-depth and semi-structured interviews of media consumers and experts.

Consumer behavior has changed due to increased product control, in terms of type and occasion, across all income levels. The value of curatorship has increased and social media has fundamentally changed consumption patterns. Using the Berthon et al. model of response functions, we found that, content producers often suffer from inertia and operate with an Isolate strategy. The second most common approach is that of Follow or customer orientation. There is limited engagement with the innovation orientations of Shape and Interact. It is best for the industry to move toward an Interact model, accepting that consumers sometimes wish to create and at other times wish content to be effortlessly provided to them.

This study adopted a qualitative approach of industry experts and consumers within a single context. The further implications would be to develop the Interact strategy in more detail, especially toward the end of how to get media providers to change their current orientations.

Business models of product producers in the new business environment seek to be more consumer-centric. This must not be done at the expense of an innovation orientation.

There has been a lot of discussion on the need to change business models in the wake of changed consumer behavior. The current paper provides guidance on how to respond to the new media world.

Previous research on advertising in digital contexts has emphasized its persuasive and information processing roles for the customer. This paper aims to problematize this point of view and argues that the converged and interactive nature of digital media makes all advertising content into potential points of engagement in a digital media journey.

The paper is conceptual in nature and applies service logic (SL) and customer engagement to reconceptualize digital advertising and selling.

The authors present digital advertisements and digital media content as elements that contribute to a digital media journey, which ideally leads to a purchase. Advertising content is regarded as a resource used by consumers in their underlying value-creating processes. Thus, the digital advertising process is conceptualized as a customer-driven process of engaging with digital media content, where a purchase is incorporated in (and naturally follows from) the theme of engagement.

The paper introduces the concept of contextually embedded selling, which refers to a process where digital advertising content is thematically congruent with the surrounding editorial content, so that both contribute to the same consumer journey. Otherwise, consumers experience a contextual jump – a disconnect in theme, place or time during the consumer’s process of engagement with the digital content.

The paper contributes to advertising theory on advertising, engagement and the emerging research on consumer journey design by presenting an approach based on SL, namely, contextually embedded digital selling.

When a concept is diffusely defined or, as this article argues, “taken for granted”, it becomes very difficult to track such concept on the literature and have some continuity as researchers build on top of previous results. This article proposes a definition for user-generated content, a term that though has lost some saliency, stands in the center or the social media phenomenon, so it should not be disregarded as an object of study.

Celebrating 20 years of the concept, this research performs a multidisciplinary literature review of 61 academic articles on UGC. Through deconstruction of the acronym UGC, it builds on the present converging, conflicting and diverging definitions and/or approaches to UGC on an attempt to consolidate a broader definition that encompasses the complexities of the phenomenon in a context of consolidation of social media, to be applied to social sciences.

Following the present analysis, UGC is defined as any kind of text, data or action performed by online digital systems users, published and disseminated by the same user through independent channels, that incur an expressive or communicative effect either on an individual manner or combined with other contributions from the same or other sources.

This is the first academic effort that aims to create an in-depth dialogue over the different approaches to UGC across disciplines on the social sciences field. It should help reignite interest in the acronym, which got somehow eclipsed by the broader field of social media; whilst without UGC, social media would not exist or would not have the same social impact it does in its current form. Analogously, UGC as a topic of research has been deeply affected by the emergence and consolidation of Social Media. As this debate evolves, this contribution should be helpful as a reference to operationalize UGC on future research.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0258

Check-in based advertising is growing dramatically as the popularity of social media increases. The purpose of this paper is to explore which social cues are appropriate for check-in based advertising in social media based on media richness theory and how content effectiveness affects content generation intention based on achievement motivation theory.

A laboratory experiment was performed to evaluate the effects of social cue strategies on content effectiveness of attitude toward the ad and self-efficacy on recall. The influence of effectiveness on content generation intention are also measured in the experiment.

The results of a laboratory experiment indicated that a strategy of using plentiful social cues has high effectiveness as measured by the concept of attitude toward the ad. Content effectiveness measured by attitude toward the ad and self-efficacy on recall can directly affect user intentions to generating check-in based advertisements.

Although check-in based advertising is driven by the customers themselves rather than by the company, companies can encourage their customers to follow an appropriate check-in content generation strategy to improve effectiveness.

The findings of this study provide useful information for designing the content of social media designed to facilitate the promotion of products and companies in online marketing.

In theoretical contribution, this study integrates media richness theory and achievement motivation theory to explore how users intent to generate check-in advertising according to social cues effectiveness.

The purpose of this paper is to introduce a conceptual model of branded entertainment into sport marketing and highlight Red Bull’s strategy as a “best practice”. Branded entertainment, the full integration of advertising into entertainment content, is an innovative marketing strategy that can provide sport enterprises and sponsors with consumer attention and engagement.

Branded entertainment was theoretically framed and conceptualised. Using an inductive approach Red Bull’s portfolio of self-generated action/extreme sport content as well as its production, distribution and viral processes were analysed.

A communication model of sport-related branded entertainment was developed to distinguish actors such as athletes, sponsors, and co-operating companies, traditional and new (sport) media as well as sport consumers and prosumers and analyse their actions and relationships.

This study is limited to Red Bull’s branded entertainment activities. However, a thorough conceptualisation and analysis of branded entertainment and findings of unique characteristics and anomalies related to branded sport entertainment allows academics and professionals to understand and apply the concept.

The research theme triggers a dialogue and encourages marketing practitioners to consider alternative ways to engage their target audiences and expand their integrated communication strategies via a unique and dynamic promotional tool.

This paper contributes to the sport value framework by addressing “value co-creation” in a sport media and marketing context. By highlighting the Red Bull phenomenon as an innovative approach a successful integration of branding and sponsorship activities into sport entertainment content production, distribution and viral marketing is presented.

The purpose of this paper is to examine how users on social media view brands with a heritage. Consumers commonly post opinions and accounts of their experiences with brands on social media. Such consumer-generated content may or may not overlap with content desired by brand managers. Drawing from “The medium is the message” paradigm, this study text-mines user narratives on Twitter1 to shed light on the role of social media in shaping public images of brands with heritage through the lens of the stereotype content model.

The study uses a data set of almost 80,000 unique tweets on 12 brands across six categories, compares brands high versus low in heritage and combines dictionary-based content analysis with sentiment analysis.

The results indicate that both user-generated content and sentiment are significantly more positive for brands low rather than high in heritage. Regarding warmth, consumers use significantly more positive words on sociability and fewer negative words on morality for brands low rather than high in heritage. Regarding competence, tweets include more positive words on assertiveness and ability for low-heritage brands. Finally, overall sentiment is more positive for brands low rather than high in heritage.

Important from co-creation and integrated marketing communication perspectives, the findings provide brand managers with actionable insights on how to more effectively use social media.

To the best of the authors’ knowledge, this research is among the first to examine user-generated content in a brand heritage context. It demonstrates that heritage brands, with their longevity and strong links to the past, need to be aware of how contemporary social media can detract from their image.

Today, individuals use social media to express their opinions and feelings, which offers a living laboratory to researchers in various fields, such as management, innovation, technology development, environment and marketing. It is therefore necessary to understand how the language used in user-generated content and the emotions conveyed by the content affect responses from other social media users.

In this study, almost 700,000 posts from Twitter (as well as Facebook, Instagram and forums in the appendix) are used to test a conceptual model grounded in signaling theory to explain how the language of user-generated content on social media influences how other users respond to that communication.

Extending developments in linguistics, this study shows that users react negatively to content that uses self-inclusive language. This study also shows how emotional content characteristics moderate this relationship. The additional information provided indicates that while most of the findings are replicated, some results differ across social media platforms, which deserves users' attention.

This article extends research on Internet behavior and social media use by providing insights into how the relationship between self-inclusive language and emotions affects user responses to user-generated content. Furthermore, this study provides actionable guidance for researchers interested in capturing phenomena through the social media landscape.

Drawing on insights from social influence theory, the MAIN model of digital media affordances and the literature on the attention economy, this study aims to investigate how social media influencers’ community and content strategy contribute to follower engagement behavior in the presence of competition.

This study used a web-scraped data set of Instagram influencers. It measured community strategy using influencers’ number of followers, number of following and breadth of interest; content strategy using modality type and number of posts; competition using number of influencers operating in the same primary domain of interest; and follower engagement behavior using number of likes and comments. A negative binomial regression model was estimated to test the proposed hypotheses.

The findings reveal that elements of influencers’ community and content strategies, such as number of followers, modality type and number of posts, influence follower engagement behavior. Similarly, competition significantly influences follower engagement behavior both independently and by interacting with influencers’ community and content strategy.

The findings offer insight for brands to identify suitable influencers for partnerships. For instance, brands can judge influencers’ suitability for partnership based on how many followers they have, how many posts they share and how many competitors they have. Further, the findings offer insight for influencers on how they can drive follower engagement behavior by managing their social media community and content.

This study develops an integrated model of factors that determine follower engagement behavior for social media influencers. The findings emphasize influencers’ strategy as the primary driver of follower engagement behavior. Extant studies focus on followers’ motivation and perception to explain follower engagement behavior while the role of influencers’ strategy is underplayed.