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Nowadays, technological development makes activities easier to carry out, one of them is marketing work. Various marketing activities, both small and large sectors, use technology in their development, including SMEs. The content marketing strategy will further increase the growth rate of buying interest in products offered by SMEs. Content marketing is a strategy where marketers plan, create, and distribute content to attract targeted audiences and drive them to become customers. Although a content marketing strategy is important, not all SMEs use digital marketing in running their business. Being left behind in managing content marketing strategy is due to less reliable resources in mastering technology. SMEs are still required to master information technology to expand a broader market.

Advances in artificial intelligence have ushered in new opportunities for marketers in the domain of content generation. We discuss approaches that have emerged to generate text and image content. Drawing on the customer equity framework, we then discuss the potential applications of automated content generation for customer acquisition, relationship development, and customer retention. We conclude by discussing important considerations that businesses must make prior to adopting automated content generation.

Due to the high penetration of social media and mobile devices in the recent decade, especially with the coronavirus, digital media tools have become a priority for marketing managers. Digital content marketing (DCM) is one of the crucial ingredients of the digital marketing strategy of businesses, which proposes value to the audience through brand-related and relevant content. The tourism industry is also trapped in the digital wave and has witnessed fundamental changes in how customers communicate. The growth of investment in DCM in this industry to introduce tourist attractions and acquire tourists calls for more research to explore multiple aspects of these initiatives' implementation. Despite the importance of DCM, there is no clear understanding of its implementation's various components. Therefore, the primary goal of the current study is to design a new comprehensive framework of DCM implementation that integrates its antecedents, process, and consequences in the tourism industry.

The mixed method was applied to achieve the research goal. The initial criteria and main components of the framework were identified with a comprehensive literature review to develop the framework. To enrich the initial criteria, some semi-structured interviews with experts were conducted; then, the extracted criteria and sub-criteria were prioritized and weighted using the quantitative best-worst method (BWM).

The results indicate that the proposed integrated framework contains three categories of antecedents, processes, and consequences and 12 main concepts. The weights and ranks of the extracted concepts and their sub-criteria are calculated using BWM.

The proposed framework helps managers have a big picture of the DCM strategy to successfully implement and consider the multiple dimensions of such initiatives. The proposed framework provides actionable insight for digital marketing decision-makers to manage such projects effectively and plan appropriate actions for progress.

A review of content marketing reveals that there are few studies conducted that integrate the components of the DCM implementation process, including antecedents, process, and consequences. This research is one of the first in the field of DCM implementation in the tourism industry to fill this theoretical gap. The main contribution of this research is to design a new integrated framework for DCM implementation that offers a holistic view of antecedents, process, and consequences.

Endorsement marketing has been widely used to generate consumer attention, interest and purchase decisions among targeted audiences. Internet celebrities who become famous on the Internet are dependent on strategic intimacy to appeal to their followers. Our study aims to examine how multiple exposures to Internet celebrity endorsements influence consumers’ click and purchase decisions in the context of influencer marketing.

Based on a unique and representative dataset, the authors first model consumers’ choices for clicks and purchases with two panel fixed-effect logit models linking clicks and purchases with the frequency of exposure to Internet celebrity endorsement. To further control the endogeneity produced by the intercorrelation between the click and purchase models, the authors also adopt the two-stage Heckman probit structure to jointly estimate the two models using Maximum Likelihood Estimation. Robustness checks confirm the effectiveness of the models.

The results suggest that Internet celebrity endorsement plays a significant role in bringing referral traffic to e-commerce sites but is less helpful in affecting conversion to sales. The impact of repetitive Internet celebrity endorsements on consumers’ click decisions is U-shaped, but the role of Internet celebrities as online retailers will “shape-flip” this relationship to a negative linear relation.

Our study is the first to investigate the repetitive exposure effect of Internet celebrity endorsement. The results show a contradictory pattern with a wear-out effect of repetition in the advertising literature. This is the first study to show how the endorsing self, which is a common business model in influencer marketing, moderates the effectiveness of influencer marketing.

This study aims to empirically analyze the effects of marketing communications, such as advertisement/promotion and social network service (SNS) content, on consumer engagement (CE), brand trust and brand loyalty.

The study’s participants were 230 US and 376 Korean consumers who have used (i.e. contacted) a food service establishment (i.e. family restaurant) at least once before and who continue to use an SNS (e.g. Facebook and Instagram). This study conducted a hypothesis test using structural equation modeling analysis. In addition, hierarchical analysis was performed to further generalize and support the statistical analysis results.

Advertisement/promotion and SNS content have a statistically significant positive effect on CE. Advertisement/promotion has a statistically significant positive effect on brand trust, and SNS content has a statistically significant negative effect on brand trust. CE has a statistically significant positive effect on brand trust, and CE and brand trust have a statistically significant positive effect on brand loyalty. No statistically significant differences were shown between the US and Korean consumer groups (critical ratios for difference of path coefficient < ± 1.96). The hypothesis test results of the structural equation model analysis and hierarchical analysis were the same for the entire group.

The findings indicate that the overall mediating role of CE is important. To the best of the authors’ knowledge, this is the first study to investigate which marketing communication channels are most effective in the restaurant sector.

The benefits and problems associated with firm-generated content (FGC) as a key driver of sponsorship effectiveness demand more research attention. Accordingly, the purpose of this paper is to consider the effect of content marketing on sponsorship-response favorability in the South African energy drink market.

It is theorized that in an FGC environment, sponsor factors, sponsorship factors and event factors drive sponsorship favorability. This notion is tested using a structural equations model among 18- to 35-year-olds.

The results show acceptable model fit and confirm the usefulness of understanding the effects of content marketing on sponsorship favorability. The authors also offer directions for future research.

The results suggest that FGC which is well-designed, packaged and presented can enhance the views of individuals regarding a sponsor – even if the brand operates in a background position as opposed to the conventional foreground position common in promotional material.

The current study considers content marketing in contexts that have largely been avoided so far, or have only featured on a very limited scale in the literature. This study was conducted in an emerging market, business-to-consumer and sponsorship context for the application of a content marketing strategy.

The main objective of this study is identification of the key factors in planning digital content marketing (DCM) strategy in line with the corporate's main marketing objectives in the B2B sector.

In order to identify the different content types and their corresponding marketing goals, content analysis method was served to analyze the content of Instagram pages of 24 top-ranked corporates from three different industries. SPSS version 22 was used to investigate the significant difference levels and the mean ranks of identified content types.

The findings uncovered the twelve content types which are commonly published by the corporates in line with their main marketing goals in the B2B sector. Furthermore, the results revealed the most valuable content types from the B2B audiences' viewpoint and the most efficient content types in persuading audiences to participate in conversations.

This study sheds some light on the ambiguous facets of DCM in the B2B sector, and its findings is useful as the starting point for the scholars who intend to investigate the various aspects of DCM and for the practitioners who work in the related fields.

This research offers a novel contribution to using Instagram as a DCM platform in the B2B sector. Also it contributes to identifying the main factors in communicating to B2B audiences through DCM.

This paper aims to draw attention to the emerging phenomenon of business to business (B2B) digital content marketing, offers a range of insights and reflections on good practice and contributes to theoretical understanding of the role of digital content in marketing. B2B digital content marketing is an inbound marketing technique and hence offers a solution to the declining effectiveness of traditional interruptive marketing techniques.

Semi-structured interviews were conducted with 15 key informants involved in B2B content marketing in the USA, UK and France, in five industry sectors.

B2B digital content marketing is an inbound marketing technique, effected through web page, social media and value-add content, and is perceived to be a useful tool for achieving and sustaining trusted brand status. Creating content that is valuable to B2B audiences requires brands to take a “publishing” approach, which involves developing an understanding of the audience’s information needs, and their purchase consideration cycle. Valuable content is described as being useful, relevant, compelling and timely. Content marketing requires a cultural change from “selling” to “helping”, which in turn requires different marketing objectives, tactics, metrics and skills to those associated with more traditional marketing approaches. The article concludes with a theoretical discussion on the role of digital content in marketing, thereby contextualising the findings from this study within a broader exploration of the role of digital content in marketing and relational exchanges.

As the first research study to explore the use of digital content marketing in B2B contexts, this research positions digital content marketing with regard to prior theory, and provides both an agenda for further research, and suggestions for practice.