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This study aims to examine how message strategy influences consumer behavioral engagement in social media. To this end, the study develops a comprehensive typology of branded content in social media and tests for its effect on consumer behavioral engagement.

A sample of brand posts derived from the official Facebook pages of top corporate brands was double-coded using an elaborate coding instrument. Message strategy was operationalized using three main message strategies (i.e. informational, transformational and interactional) and their paired combinations. Consumer behavioral engagement was operationalized using consumer actions of liking and sharing brand posts. Proposed relationships were tested with MANCOVA and univariate ANOVAs.

Results indicate that the transformational message strategy is the most powerful driver of consumer behavioral engagement, while no significant difference is observed between the informational and the interactional message strategies. Further, complementing the informational and interactional message strategies with the transformational message strategy markedly enhances their effectiveness.

Useful managerial guidance to develop effective message strategies is offered. In particular, the importance of transformational messages, both as a standalone and a complementary message strategy, is underscored. By mastering and deploying transformational messages more frequently in their social media communication, marketers could improve their effectiveness.

Drawing on a theory-driven typology, this study sheds light on how message strategy shapes consumer behavioral engagement in a social media context. Importantly, the study documents pioneering empirical evidence regarding the effect of combined message strategies on consumer behavioral engagement.

The purpose of this paper is to design organization message content strategies and analyse their information diffusion on the microblogging website, Twitter.

Using data from 29 brands and 9392 tweets, message strategies on twitter are classified into four strategies. Using content analysis all the tweets are classified into informational strategy, transformational strategy, interactional strategy and promotional strategy. Additionally, the information diffusion for the developed message strategies was explored. Furthermore, message content features such as text readability features, language features, Twitter-specific features, vividness features on information diffusion are analysed across message strategies. Additionally, the interaction between message strategies and message features was carried out.

Finding reveals that informational strategies were the dominant message strategy on Twitter. The influence of text readability features language features, Twitter-specific features, vividness features that influenced information diffusion varied across four message strategies.

This study offers a completely novel way for effectively analysing information diffusion for branded tweets on Twitter and can show a path to both researchers and practitioners for the development of successful social media marketing strategies.

This study aims to investigate how business-to-business (B2B) companies use message strategies on social media platform and how these strategies are effective in improving customer perceived value and encouraging customer engagement, as well as how B2B companies differ from business-to-customer (B2C) counterparts in terms of utilization and effectiveness of social media message strategy.

Based on content analysis of Sina Weibo brand pages and survey of website visitors, this paper examines the differences of social media message strategies and their impacts upon customer perceived value and customer engagement between B2B and B2C companies.

B2B companies use more rational appeals and less emotional appeals, have lower degree of informativeness and perform better in interactivity and variety than B2C companies. These five dimensions of message strategy have different roles in engaging customers via perceived value across B2B and B2C settings.

The research makes significant contributions to B2B social media marketing literature by answering two interrelated questions, namely, “What companies are doing?” and “What companies should do?” on social media websites. Besides, it provides insightful implications for B2B companies on how to implement appropriate message strategies in their social media marketing efforts by conducting Importance-Performance Analysis.

The purpose of this study is to develop a typology of social media messages to compare the effectiveness of different message strategies.

In total, 1,837 messages from 12 hotel brand Facebook pages were content-analyzed. Applying both correspondence analysis and multivariate analysis of variance, the study compared message strategy across hotel-scale levels and explored the effectiveness of different message strategies.

A typology of four-type message format and six-type message content was developed. The picture message was the best message format. Product, brand and involvement messages were shown to be more effective than information, reward and promotion messages. Promotion message was the least effective message content type.

The major limitation of this study is the generalizability owing to the sample selection process. There is also the limitation on exclusion of control variables, selection of the three effectiveness measures and evolving social media technology.

The typology of Facebook message strategy developed in the study provided guidelines for hotel marketers to create messages on Facebook pages and track effectiveness. Hotels should also take full advantage of the picture format and product, brand and involvement contents.

This study created a new typology of social media message strategy consisting of two dimensions. It also provided empirical evidence to support the application of message strategy theory in the hotel social media marketing area.

The paper aims to examine how employees influence their employer’s brand by applying Taylor’s (1999) six segment message strategy wheel in an employee influencer context.

The research uses a content analysis of employees’ public social media posts – including captions and images – to analyze the message strategies employees use to promote their employers.

While ego and social were popular message strategies in both the images and captions, the findings evidence the varying message strategies employees use in text-based versus image-based messages. Four “imagined audiences” of employee influencers are identified: current customers, prospective customers, current employees and prospective employees.

The research provides insight into how employees act as influencers in building their employer brand on social media.

A unique measurement tool is developed that can be used by companies and future researchers to decode employees’ online communications.

This research contributes to theory and practice in the following important ways. First, the research provides a modernization of an existing framework from an offline setting to an applied industry context in an online setting. Second, this research focuses on a subtype of social media influencer, the employee influencer, which is an underdeveloped area of research. Third, a unique measurement tool to analyze text-based and image-based social media data is developed that can be used by companies and future researchers to decode employees’ online communications.

This study employs creative strategies to contentanalyse Super Bowl commercials from 2001 to 2009, focusing specifically on message strategies. The findings aim to answer four research questions. What are the message strategies commonly employed in Super Bowl commercials? What are the trends of the message strategies employed in Super Bowl commercials over time? What are the relationships between the message strategies and the commercial likeability? What are the specific roles played by the high- vs. low-involvement product categories?

The purpose of this paper is to investigate the effect of strategy messages emanating from both top and middle/supervisory managers regarding five different aspects of strategy on strategic awareness among boundary personnel.

The results come from a survey of bank tellers and customer service representatives within a single large regional bank.

The findings support a differential main effect on strategic awareness among boundary personnel depending on the source of messages, whether top management or middle management. More interestingly, there appears to be an interaction effect between the two sources regarding which will be the dominant information source for boundary personnel.

The survey data were collected within a single banking institution at one time point.

The results provide useful information concerning the efficacy of messages concerning strategy from middle and top management in organizations.

The paper extends past research by investigating different levels of strategic understanding within the firm across different levels and determining information dissemination strategies for increasing the level of strategic awareness among boundary personnel.

Applying the value creation of corporate social responsibility (CSR), this study aims to investigate the direct effect of preventive measures in the postpandemic world on Airbnb consumers’ attitudes toward the host, which may further impact their behavioral intentions. It also examined the mediating role of perceived risk and perceived motives, as well as the moderating role of message strategies and risk tolerance in this process.

A 2 (preventive measures: basic versus enhanced) × 2 (message strategies: promotional social cause message [PSC] versus partake-in-our-cause message [PIOC]) between-subjects factorial design was conducted with a sample of 476 US Airbnb consumers through an online survey. PROCESS macro was used for hypothesis testing.

Results demonstrated that enhanced preventive measures had more positive impact on Airbnb consumers’ attitudes toward the host, which was positively related to positive word of mouth and booking intention. Perceived risk and perceived motives mediated the relationship between preventive measures and attitude toward Airbnb hosts. Positive relationships between attitude toward the host and behavioral intentions were strengthened when PIOC was used than PSC. The negative relationship between preventive measures and perceived risk was enhanced when PIOC was used than PSC. Risk tolerance did not interact with messages strategy to impact the relationship between preventive measures and perceived risk.

The study uncovered the mechanisms by which consumers form their responses toward different safety information of Airbnb accommodations postpandemic and the role of message strategies in the process. It provided implications for the Airbnb platform and hosts in the postpandemic period.

Anthropomorphized brands have been widely used as marketing communication tools to engage consumers on social media, especially on Twitter. Guided by the social exchange theory (SET) and the dialogic theory, this study aims to investigate how anthropomorphized brands leverage different communication strategies on Twitter and how these strategies are related to consumer engagement.

Supervised machine learning was used to identify the communication strategies (i.e. message types and dialogic principles) of 125,887 tweets from 21 brand characters. Some statistical analyses (e.g. frequency analysis, Chi-square analysis and Poisson regression analysis) were performed to explore the relationships between communication strategies and consumer engagement (i.e. retweets and replies).

The majority of anthropomorphized brands’ tweets belonged to the socioemotional category and the most adopted dialogic principles were generation of return visits and conservation of visitors. Consumers engaged more with socioemotional tweets as well as the tweets that adopted the principles of dialogic loop and conservation of visitors. There were clear relationships between message types and dialogic principles in anthropomorphized brands’ tweets, and certain dialogic principles were found to effectively improve consumer engagement with certain message types.

To the best of the authors’ knowledge, this study is the first to investigate the communication strategies of anthropomorphized brand characters on Twitter using computational research methods. It not only provides brand managers a systematic review of how current anthropomorphized brands communicate with consumers on Twitter and what strategies work more effectively to trigger consumer engagement but also contributes to theory building in brand management by integrating the SET and the dialogic theory in brand anthropomorphism research.

This research aims to investigate the message strategies most likely to promote online “word-of-mouth” (WOM) activity for business-to-business (B2B)/business-to-consumer as well as product/service Facebook accounts.

Using content analysis and HLM, the authors measure the relationship between three types of message strategies and Facebook message “Likes” by analyzing 1,143 wall post messages of 193 Fortune 500 Facebook accounts.

Research findings suggest that B2B Facebook account posts are more effective if they include corporate brand names and avoid “hard sell” or explicitly commercial statements. Furthermore, results suggest that including emotional sentiments in Facebook posts is a particularly effective social media strategy for B2B and service marketers.

This study advances the knowledge of social media and online WOM behavior, as well as B2B and service advertising/communication literature, by relating message content to message popularity. In terms of managerial implications, this research provides explanations and support for the implementation of effective social media message strategies that are likely to promote WOM activity.