본 연구의 목적은 신중년에게 맞춤화된 사회적 참여를 위한 미디어 리터러시 교육 프로그램을 개발하고 그 효과를 입증하는 것이다. 본 연구에서는 교육의 효과 및 현장 적용 가능성 평가 도구로 용이한 ADDIE 모형을 기반으로 선행연 구 분석을 통해 교육 프로그램을 개발하였다. 이후 전문가 평가를 거치며 내적 타당성을 확보하였으며, 120명의 은퇴(예정)자를 대상으로 총 8차시에 걸친 교 육에 적용하였다. 외적 타당화 과정에서는 신중년 학습자들의 미디어 리터러시 역량에 대한 사전-사후 검사를 진행하였고, 대응표본 t검정을 통해 미디어 리터 러시 역량이 통계적으로 유의미하게 향상되었음을 확인하였다. 또한, 공변량분 석을 통해 학습자의 나이와 학력이 미디어 리터러시 역량 변화에 어떠한 영향을 미치는지를 파악하였다. 마지막으로, 내용 분석을 통해 신중년 학습자들의 서술 형 응답을 면밀히 검토한 결과, 사회적 참여 의지가 긍정적인 방향으로 변화되 었음을 확인하였다. 본 연구는 신중년의 미디어 리터러시 역량 강화, 사회적 참여를 위한 SNS 활 용 방안, 지역 사회 홍보 방안을 총체적으로 반영하여 교육 프로그램을 개발하 였다는 점, 개발된 교육 프로그램을 실제 교육 현장에 적용하였을 때 미디어 리 터러시 함양과 사회적 참여 의지에 유의미한 차이를 확인하였다는 점에 의의를 지닌다.

This study quantifies drivers and consequences of positive and negative electronic word-of-mouth (eWOM) engagement on social networking sites building upon social identity theory. Fitting a structural model using software smartPLS 4.0, the analysis compares two distinct groups of respondents. Though these groups seem to belong to the same in-group. Nevertheless, group members differ with respect to the drivers and consequences of their positive and negative eWOM engagement. As engagement is often used in the context of service-dominant logic, we reveal which non-monetary value co-creating and value-reducing consequences result from positive and negative eWOM engagement. This study highlights the impact of eWOM engagement on self-brand connection and self-brand incongruity and identifies commitment as a major driver. For international respondents negative eWOM does not automatically increase self-brand incongruity but low negative eWOM has a positive effect on the self-brand connection.

Consumer brand engagement has recently drawn attention for researches because of its importance in predicting brand loyalty. Meanwhile, social media is used as digital marketing tools for marketers to attract and engage younger consumers. This study aims to answer the question whether social marketing efforts by fashion brands on major social media platforms have influence on consumer brand engagement in the context of Vietnamese fashion brands. Social marketing efforts include five dimensions of entertainment, interaction, trendiness, customization and word-of-mouth. Although social marketing efforts has been examined in relationship with other important marketing concepts such as brand equity and customer equity (Godey et al., 2016; Kim and Ko, 2012), few studies have investigated its effect on consumer brand engagement, especially in fashion brands. Besides, Vietnam as an emerging market is witnessing considerable changes that social media brings to every field including fashion markets. It is noticeable that more and more fashion brands in Vietnam are trying to expand and advance their marketing strategies on social media to engage consumers. In this study, a self-administered online survey was delivered to Vietnamese consumers, which included 281 valid responses who followed Vietnamese fashion brands on Facebook or Instagram. The empirical results show that social media efforts engage consumers differently on brand engagement dimensions. The key finding indicates that entertainment and word-of-mouth are positively related to brand engagement in affective, cognitive and behavioral dimensions. Interaction is positively related to affective and behavioral brand engagements. Trendiness is positively related to behavioral brand engagement. Finally, customization is positively related to cognitive brand engagement.

Engagement is a central aspect of discussions surrounding online brand communities. The current paper advances the existing thinking associated with conceptualisation of engagement in the context of online brand communities. By understanding how brands engage in an online community we can provide better community management and benefit a brand.

Social media has emerged as a prevalent tool for businesses in recent years through which brands actively engage in promotions. This development has resulted in several social media trends aimed at garnering increased consumer engagement on various social media platforms that brands utilize routinely. We investigate one such prevalent social media trend: brands sharing memes. Several popular brands, such as Netflix, regularly post memes on social media platforms. Therefore, it is important to study the brands’ use of memes and their resultant impact on consumer behavior.

There is a growing trend towards consumption of meat alternatives. In response to rising demand, many brands add meat alternative options to their offerings (e.g., Impossible Whopper from Burger King, McPlant from McDonald’s). Consistent with this trend, a growing literature explores how to encourage consumers to reduce meat consumption and increase acceptance of meat alternatives. However, there are two major limitations in literature. First, most studies in this area do not employ real behavioral outcomes as the focal dependent variable. As a result, we cannot be certain that such findings can be extrapolated into real-world settings. Second, the majority of studies have focused on cognitive factors in investigating acceptance of meat alternatives. Hence, there is a need to attend more to affective factors when investigating how we can advertise meat alternatives. Against this backdrop, the present research investigates the interactive effect between regulatory mode (a motivational factor) and positive emotion (an affective factor) for driving social media engagement in advertising meat alternatives. Regulatory mode theory posits that consumers engage in goal pursuit by adopting locomotion (a motivation to “just do it”) and assessment orientations (a motivation to “do the right thing”). We propose that different, discrete positive emotions could interact with regulatory mode to create “fit” effects. Specifically, the fit between assessment orientation and the emotion of awe, and between locomotion orientation and the emotion of love will lead to increased social media engagement.

The study builds and tests a framework investigating the determinants of customer engagement with luxury brands on social media platforms.

The study builds and tests a framework investigating the determinants of customer engagement with luxury brands on social media platforms.

Hospitality and tourism industries have recognized that engaging with customers via social media is now a critical element of their marketing strategy. Given the high variability of success with which firms have been attracting customer interest online, businesses are clearly struggling to determine exactly the right methods to use the newest technologies. This study presents a predictive model of attributes for online posts that evoke a high level of customer engagement. The contribution to the literature is a unique set of features that have significant impact on customer engagement, using a big-data set to support findings. In accordance with theories originating from Social Belongingness and Brand Community Marketing, findings indicate that appeals to a sense of community belonging have a significant impact on customer engagement in social media. Specifically, communities have idiomatic vocabularies consisting of “activation words” that are especially effective for engaging customers on social media. This has both theoretical implications in that it constitutes a large-scale, real-world confirmation of belongingness hypotheses, and managerial implications in that it suggests best practices for maintaining an online presence.

As Internet use has increased, customers have become more active at sharing their travel opinions through social media regarding their experiences with service organizations. Social media has become a ubiquitous tool that enables customers to share their travel experiences. In particular, members of Generation Y are more likely to be active on social media and more likely to share their experiences online. Understanding Generation Y’s online customer engagement preferences on different social media platforms may help to enhance brand loyalty. Customer engagement (CE) has been attracting the attention of both practitioners and academics because it may help to enhance both brand loyalty and purchase decisions. Social media platforms have become a significant communication tool for both customers and service providers, creating an opportunity to engage with customers. Interacting with active customers on the right social media platform can increase direct bookings, building brand loyalty. Therefore, the purpose of this research is to examine Generation Y’s brand loyalty preferences through its members’ engagement with social media. The results of this research will expand understanding of Generation Y customers’ online engagement through social media. This research may also suggest how hotels are able to utilize social media platforms in order to encourage online engagement with Generation Y by building brand loyalty.

The power of social media is colossal considering that the number of worldwide users is expected to grow even more in the future reaching 2.95 billion by 2020. Because of the apparent customer engagement in these platforms, companies spend on average 11% of marketing budgets on social media and this expenditure is expected to grow to 19% over the next five years (CMO Survey, 2017). However, the main challenge the companies are facing is how to convert the social media investments into effective marketing and contribution to company’s performance. The customer engagement (CE) in social media catches a strong attention from scholars (Brodie et al., 2013) as well as experts of online marketing (Dessart, Veloutsou, & Morgan-Thomas, 2016). Even though there is a significant progress in the conceptual (Van Doorn et al., 2010) and empirical (Brodie et al., 2013) analysis of CE, its clear understanding remains still insufficient. Customer engagement’s definition requires more attention as there is inconsistency in the terms because of a lack of agreement on the terminology (van Doorn et al., 2010). Noticeable differences exist concerning also the measurement of CE and what exactly this phenomenon encompasses (Dessart et al., 2016). Particularly, the empirical studies show incongruity in the number and the nature of the dimensions (Sprott et al., 2009; Brodie et al., 2013). To investigate the complex and emergent occurrence of CE in social media, this research endorses a managerial-oriented approach using rich qualitative data from three different sources covering a variety of views for different social media platforms (41 companies/24 advertising/communication agencies, and 10 research/consulting firms). The results illustrate the gaps among customer engagement’s conceptions, the customer engagement dimensionality, and the metrics of social media performance beyond customer engagement.

As information technology advanced, customers’ service consumption process heavily shifted to the online environment, particularly social media and mobile. A new topic, customer engagement, has emerged along with the fast advancement of social media. Customer engagement refers to a type of customer behavior that is beyond purchase such as spreading word-of-mouth, providing recommendations to family and friends, interacting with fellow customers, and writing online reviews (Bijmolt et al., 2010; Verhoef, Reinartz, & Krafft, 2010). This study introduces the Flow theory, which is especially important to understand consumers’ online experiences, with the intention to shed light on how to better engage consumers in the hospitality industry (Bilgihan, Okumus, Nusair, & Bujisic, 2014; Hoffman & Novak, 2009). The purpose of this study is to examine the antecedents of flow and further investigate its influence on positive attitude and continuance intention among restaurant social media users. This study specifically examines restaurant customers who use social media through their smart phones in searching information and sharing experiences with others. A self-administered questionnaire was developed and a Structure equational modeling (SEM) was employed to test the proposed hypotheses. Study results support the hypotheses, indicating the importance of creating flow to increase customer engagement. Academically, this study contributes to the limited body of literature on flow experience and customer engagement in the hospitality context. Additionally, it provides practical insights for hospitality marketers on how to gain competitive advantages by strategically managing customer engagement on social media marketing through flow.

Since the late 1980s, information communication and technology (ICT) have reshaped the landscape of the tourism industry (Buhalis & Law, 2008). Thanks to the Web 2.0 technology, tourism practitioners have never been this close to their customers over social media platforms. According to Kaplan and Haenlein (2010), social media refers to “a group of Internet-based applications which build on the ideological and technological foundations of Web 2.0 and that allow the creation and exchange of User Generated Content” (p. 61). In line with this definition, electronic social networks, user-generated content aggregators, as well as location-based applications are all typical social media platforms, across which enable customers to create, edit, and share content. The increasingly growing social media platforms have greatly facilitated implementations of customer engagement strategies for organizations. As a psychological state, customer engagement is featured by interactive customer experiences with an organization, which encourage psychological, emotional, and physical investment a customer has in the organization (Harrigan, Evers, Miles, & Daly, 2017). In the tourism and hospitality context, customer engagement strategies are as critical in strengthening customer loyalty, trust, and brand evaluations (So, King, & Sparks, 2016). Useful insights have been gained relating to conceptualization and measurement scale of customer engagement, organizational and cultural obstacles to consumer engagement within hotel organizations (Chathoth et al., 2014), customer engagement in a social media context alongside the process of recognition (Cabiddu et al., 2014). Underlying the practical and theoretical significance of customer engagement lies the subjective nature of views on the social media platforms. Goh, Heng, and Lin (2014) recognized that engagement in social media brand communities positively lead to enhanced purchase expenditures through embedded information and persuasion. Quantitively, the persuasive effect of user generated information is at least 22 times more than that of marketer’s in terms of marginal effect. Although previous research has examined consequences of consumer engagement, there has been less attention paid to its causes. Meanwhile, as far as Brodie et al. (2011) were concerned, the persistency of consumer-brand engagement is contingent on an assessment of tangible and intangible costs against possible benefits such as product news and offers. Therefore, identification of these benefits can offer supplementary insights into current literature of consumer engagement. The current study utilizes the self-determination theory to uncover how engagement in social media activities is facilitated by consumers’ intrinsic motivators and what psychological benefits can consumer obtain from such engagement, as either psychological state or process (Brodie et al., 2011). Research subjects in this study are Chinese social media users. According to eMarketer’s (2017) estimated that more than 80 percent of Internet users in China (i.e., around 626 million people) accessed social networks regularly in 2017. The importance of tapping this massive market can never be overestimated.

This study focuses on the digital generation in China and their engagement in social media to co-create values with firms. The study employed a qualitative research approach to first develop a social media co-creation value scale. This was followed by motivational analysis of social media engagement to co-create values. A spectrum of utilitarian and hedonic motives related to value co-creation behaviors via social media were then identified. Many theoretical and practical implications are provided based on the study findings.

This study presents a machine learning approach using conditional inference tree (Ctree) to determine how brand equity can be used to factually engage consumers into social media brand-related activities. Using the Ctree algorithm (Hothorn, Hornik, & Zeileis, 2006), a predictive model was computed using self-reported data on consumers’ perceptions of brand equity (Aaker, 1991) and engagement into social media brand-related behavior (Muntinga, Moorman, & Smit, 2011) from a sample of 690 individuals. The predictive modeling analysis revealed 5 different rules (patterns) that trigger social media brand-related behavior. Each rule comprises behavioral engagement discriminating low, medium, and high levels of consumption, contribution, and creation of brand-related social media content. Additionally, the analysis portrait 5 subtypes of consumers according to their behavior. This study has incremental explanatory power over preceding consumer brand engagement studies, in that it demonstrates how to manage brand equity to factually engage consumers into social media brand-related activities, therefore, generating valuable insights that may be used to support business.

Recently, marketing researchers have started to explore the impact of Social Media Brand Communities in digital marketing strategies. However, in spite of this interest, scant attention has been paid to the micro-mechanisms stimulating electronic word of mouth (E-WOM) within social media brand community. In this sense, this exploratory research aims to explore how consumers‟ engagement is related with positive E-WOM.