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The purpose of this paper is to develop and empirically test a process model (comprising of seven dimensions), for identifying online customer engagement patterns leading to recommendation. These seven dimensions are communication, interaction, experience, satisfaction, continued involvement, bonding, and recommendation.

The authors used a non-participant form of netnography for analyzing 849 comments from Australian banks Facebook pages. High levels of inter-coder reliability strengthen the study’s empirical validity and ensure minimum researcher bias and maximum reliability and replicability.

The authors identified 22 unique pattern of customer engagement, out of which nine patterns resulted in recommendation/advocacy. Engagement pattern communication-interaction-recommendation was the fastest route to recommendation, observed in nine instances (or 2 percent). In comparison, C-I-E-S-CI-B-R was the longest route to recommendation observed in ninety-six instances (or 18 percent). Of the eight patterns that resulted in recommendation, five patterns (or 62.5 percent) showed bonding happening before recommendation.

The authors limited the data collection to Facebook pages of major banks in Australia. The authors did not assess customer demography and did not share the findings with the banks.

The findings will guide e-marketers on how to best engage with customers to enhance brand loyalty and continuously be in touch with their clients.

Most models are conceptual and assume that customers typically journey through all the stages in the model. The work is interesting because the empirical study found that customers travel in multiple different ways through this process. It is significant because it changes the way the authors understand patterns of online customer engagement.

The purpose of this paper is to extend existing engagement research in two directions: first, it operationalizes the dynamic nature of the engagement process within a customer-brand dyad and, second, it tests the interrelationships with other network actors in a triadic network setting.

A 2×2 experimental design models the iterative nature of the engagement process based on repeated measures at three points in time, considering the contextual effects of connections with other customers and crowding-in effects based on monetary incentives.

This research demonstrates that in a utilitarian service setting, customer engagement does not emerge per se in the dyadic interaction between the customer and the brand. For high levels of engagement behavior to occur, incentives and ties to other network actors are essential. Further, the findings suggest a non-linear relationship between engagement behavior and its antecedents and consequences: engagement behavior must overcome a certain intensity threshold to unfold its effect.

Further research is needed to explore the dynamic nature of the engagement process in experiential and interactive service settings, and more complex network settings that may involve more actors and more complex relationships.

By facilitating connections between customers and compensating for low intrinsic interest, managers can facilitate actual engagement behavior even in utilitarian service contexts. Once engagement behavior has been triggered, an increased engagement disposition, higher satisfaction, higher involvement and higher loyalty follow.

This study empirically tests the dynamic nature of the engagement process within and beyond the dyad, and has revealed a non-linear pattern of customer engagement behavior within its nomological network.

Social media enables sport organizations to connect with customers in a dynamic, ubiquitous, and timely manner. Although these organizations routinely use social media, the best practices to improve customer engagement remain elusive. This paper aims to examine National Football League (NFL) teams’ Instagram posts to understand how sport teams can utilize social media to drive customer engagement.

Guided by uses and gratification theory, the author employs a machine learning algorithm to assess the content of NFL teams’ posts from the 2013–2014 season to the 2017–2018 season. The author performs regression analyses to investigate how post topic, together with confounding factors, boost customer engagement.

Results highlight the importance of informational content in eliciting engagement and reveal distinctions in topics deemed “social content” in the literature. The author further identifies variations in how post topics engage sport fans and general customers.

Results provide implications for sport organizations to craft social media content for customer engagement.

To understand how customer engagement has been researched in the last decade, the purpose of this paper is to provide a systematic review of customer engagement research in the existing literature, derive a comprehensive definition of customer engagement and summarize few important and basic issues that future research should address.

An extensive literature review was carried out on customer engagement spread over 38 journals identified from online academic databases of Scopus, Emerald, EBSCOS and Science Direct. A total of 66 conceptual and empirical articles on customer engagement research spanning from 2005 to 2015 were analyzed based on different classification schemes.

Customer engagement is becoming a key concept in marketing. Customer engagement is a multi-dimensional concept comprising of cognitive, emotional, behavioral and social dimensions. The theoretical foundations of this concept predominantly lie with relationship marketing and service-dominant logic. Research on customer engagement has gained a significant pace in the last six years (2010-2015) but most of the articles on customer engagement have come from developed countries.

By providing the distribution schema of customer engagement articles based on different criteria and by highlighting the future research avenues, this study is believed to serve as a valuable tool for researchers to understand the current scenario of customer engagement research in the marketing discipline and take this research area forward. This study acknowledges limitations with respect to its exclusive search criteria, which might affect its generalizability.

This study exhibits the favorable outcomes organizations can derive by building and managing an engaged customer base. The more an organization knows about how to engage its customers, the better adept it will be to enact so. Therefore, understanding customer engagement is imperative in that regard; this review will help organizations comprehend that better.

This is the first systematic review of customer engagement that provides a detailed understanding of the current state of customer engagement research on a single platform and also draws a comprehensive customer engagement conceptualization.

The purpose of this paper is to deepen the understanding on social media brand engagement (SMBE) practices by exploring the impact of consumer brand knowledge, perceived social pressure, perceived social relatedness (PSR) and the role of brand trust.

A model is proposed to suggest the influence of consumer-level antecedents and moderators of SMBE. Following a survey design approach, data collected from 687 respondents on Facebook are examined through structural equation modelling using AMOS 23.0.

The findings reveal significant relationship between the examined antecedents (brand knowledge, perceived social pressure and brand trust) and SMBE. Examination of the moderation role of PSR revealed significant interaction effects on the relationship between brand knowledge and SMBE, as well as perceived social pressure and SMBE. The findings also suggest a lack of interaction effect of PSR on the relationship between brand trust and SMBE.

This research provides empirical evidence in support of understanding SMBE practices by testing theoretically grounded hypotheses. The study focussed on technologically savvy respondents and only Facebook users in Ghana, which could limit the generalisation of the findings reported.

This study illustrates a need for managers to integrate multi-communication channels to enhance brand interactions and engagements. Firms must also adopt strategies that would enhance the sharing of interesting information about their brands on their social media platforms to attract others through customer networks.

The conceptualization of SMBE in this study zooms out our understanding of online SMBE by examining pertinent variables that drive or moderate consumer participation in SMBE activities. The integration of these variables brings out new empirical understanding and extends our knowledge on SMBE.

When customers make their purchase decisions, they use all the available information from all the initiatives and behaviors that companies carry out with their stakeholders. This research aims to identify whether a company's financial performance and reputation determine the customer's perception of the company, which affects their engagement. This study is based on the theories of engagement, stakeholder and signalling. Are customers engaged solely based on their feeling of satisfaction, or do employees and brand value play a role in this engagement?

Secondary data was collected from 14 automotive companies and empirically tested through a longitudinal study over the period 2010–2018. For panel data analysis this study used weighted least squares.

The variables proposed in this research, firm value and corporate reputation, were significant for the analysed panel sample. Furthermore, employee satisfaction influences customer engagement as an independent and moderating variable, just like brand value.

This research contributes to the emerging stream of customer engagement research by combining insight as a company-initiated resource, with the sheer transaction, integrating data obtained from employees and customers in an international context.

This chapter employs institutional theory and the demand-side approach to discuss the entry of new companies into industries. Theory and empirical evidence provides support for the hypothesis that the industry stage of development is the primary factor that determines whether a company should use innovation or imitation as an entry wedge. The evidence suggests that innovation is most often used successfully during the introduction and decline stages of industry development. Imitation is most often used successfully during the growth stage of industry development. During the mature phase both innovation and imitation are used, but usually with limited success.

Artificial intelligence chatbots are shifting the nature of online services by revolutionizing the interactions of service providers with consumers. Thus, this study aims to explore the antecedents (e.g. compatibility, perceived ease of use, performance expectancy and social influence) and consequences (e.g. chatbot usage intention and customer engagement) of chatbot initial trust.

A sample of 184 responses was collected in Lebanon using a questionnaire and analyzed using structural equation modeling (SEM) by AMOS 24.

The results revealed that except for performance expectancy, all the other three factors (compatibility, perceived ease of use and social influence) significantly boost customers’ initial trust toward chatbots. Further, initial trust in chatbots enhances the intention to use chatbots and encourages customer engagement.

The study provides insights into some variables influencing initial chatbot trust. Future studies could extend the model by adding other variables (e.g. customer experience and attitude), in addition to exploring the dark side of artificial intelligence chatbots.

This study suggests key insights for marketing managers on how to build chatbot initial trust, which, in turn, will lead to an increase in customers’ interactions with the brand.

The current study marks substantial contributions to the artificial intelligence marketing literature by proposing and testing a novel conceptual model that examines for the first time the factors that impact chatbot initial trust and the key outcomes of the latter.

The purpose of this paper is to investigate the distinct reasons and more common reasons that reduce customer satisfaction and are antecedents to customer churn behavior in the telecommunication industry.

The study adopted the netnography approach to investigate churn behavior by utilizing online user-generated content in qualified social media communities.

The investigation revealed that “data speed issue”, “ineffective relationship building”, “service area coverage issues” and “billing issues” are some of the most important attributes that influence a consumers' decision to churn. Further, the churn consequence influencers model summarizes the attributes that contribute to overall dissatisfaction and finally results in churn behavior. The study found out the application of the netnography approach in a quantitatively dominant research area and stands out with its insights from a rich qualitative data.

Proper clarification of customer expectations and pain points can help reduce customer churn. The study will serve as the basis for developing future churn prediction models that will contribute to the informed decision-making process.

Contributing to research on customer churn behavior, the study offers a novel attempt to study customer satisfaction and customer churn behavior jointly. The paper is the first attempt that contributes to the extant literature by adopting the unique qualitative approach to understand the reasons for telecommunication churn behavior in the emerging Indian market. Another contribution of this research is that the paper shifts the focus of the electronic word-of-mouth (eWOM) literature to the telecommunications industry, thus adding another block to ongoing research in eWOM communication.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ OIR-02-2020-0048

This case traces the turn of events when Neha Tomar, a resident of Gurgaon, posted a complaint about Amul milk on Facebook. The post got over 100, 000 shares and was liked by close to 10, 000 users on Facebook. This created a flutter as Amul, India's largest food brand, was known to maintain highest standards and had come to symbolize quality in milk products category. GCMMF, owners of Amul brand, swiftly moved into action and posted the official stand on their Facebook page. The post stated that there was no problem with milk and accused Neha of concealing the facts for generating and sustaining hype. This case presents a new pattern of customer engagement wherein brand is not afraid to take on customer in social media space for managing its reputation.