Purpose This paper aims to complement the current understanding about user engagement in electronic word-of-mouth (eWoM) communications across online services and product communities. It examines the effect of the senders’ prior experience with products and services, and their extent of acquaintance with other community members, on user engagement with the eWoM. Design/methodology/approach The study used a sample of 576 unique user postings from the corporate fan page of two German firms: a service community of a telecom provider and a product community of a car manufacturer. Multiple regression analysis is used to test the conceptual model. Findings Senders’ prior experience and acquaintance positively affect user engagement with eWoM, and these effects differ across communities for products and services and across their influence on “likes” and “comments”. The results also suggest that communities for products are orientated toward information sharing, while those discussing services engage in information building. Research limitations/implications This research explains mechanisms of user engagement with eWoM and opens directions for future research around motives, content and social media tools within the structures of online communities. The insights on information-handling dimensions of online tools and antecedents to their use contribute to the research on two prioritized topics by the Marketing Science Institute – “Measuring and Communicating the Value of Online Marketing Activities and Investments” and “Leveraging Digital/Social/Mobile Technology”. Practical implications This research offers insights for firms to leverage user engagement and facilitate eWoM generation through members who have a higher number of acquaintances or who have more experience with the product or service. Executives should concentrate their community engagement strategies on the identification and utilization of power users. The conceptualization and empirical test about the role of likes and comments will help social media managers to create and better capture value from their social media metrics. Originality/value The insights about the underlying factors that influence engagement with eWoM advance our understanding about the usage of online content.
This study investigates how the effect of the failure of co-created products or services influences: (a) internal attribution (i.e. the self) and external attribution (i.e. the firm), (b) customers’ expectancies of success, and (c) customers’ future motivation to co-create and contribute to recovery from failure. We use attribution theory and the attribution–expectancy framework to explain the theoretical relationships we advance and test our hypotheses in two independent experiments that stimulate co-creation through role-play and vignettes. The results show that customer co-creation shifts the attribution for failure to the self, resulting in atypical shifts in expectancy (increasing customers’ expectancy of future success and motivation to continue co-creating in the future). Our results suggest that utilizing customers’ efforts and skills in the co-creation of products and services can help firms to manage failure effectively. The implications of our findings on co-creation research and product and service failures are discussed, specific applications within the digital context are considered, and suggestions are offered for future research.
Purpose – This paper aims to conceptualize and empirically test the determinants of service interaction quality (SIQ) as attitude, behavior and expertise of a service provider (SP). Further, the individual and simultaneous effects of SIQ and its dimensions on important marketing outcomes are tested. Design/methodology/approach – The narrative review of extant research helps formulate a conceptual model of SIQ, which is investigated using the univariate and multivariate meta-analysis. Findings – There are interdependencies between drivers of SIQ that underlines the need to conceptualize service interaction as a dyadic phenomenon; use contemporary multilevel models, dyadic models, non-linear structural equation modeling and process studies; and study new and diverse services contexts. Meta-analysis illustrates the relative importance of the three drivers of SIQ and, in turn, their impact on consumer satisfaction and loyalty. Research limitations/implications – The meta-analysis is based on existing research, which, unfortunately, has not examined critical services or exigency situations where SIQ is of paramount importance. Future research will be tasked with diversifying to several important domains where SIQ is a critical aspect of perceived service quality. Practical implications – This study emphasizes that, although the expertise of an SP is important, firms would be surprised to learn that the attitude and behavior of their employees are equally important antecedents. In fact, there is a delicate balance that needs to be found; otherwise, attitudinal factors can have an overall counterproductive effect on consumer satisfaction. Originality/value – This paper provides an empirical synthesis of SIQ and opens up interesting areas for further research.
Purpose This study aims to conceptualize and test the effect of consumers’ perceptions of complaint handling quality (PCHQ) in both traditional and social media channels. Design/methodology/approach Study 1 systematically reviews the relevant literature and then carries out a consumer and manager survey. This approach aims to conceptualize the dimensionality of PCHQ. Study 2 tests the effect of PCHQ on key marketing outcomes. Using survey data from a German telecommunications company, the study provides an explanation for the differences in outcomes across traditional (hotline) and social media channels. Findings Study 1 reveals that PCHQ is best conceptualized as a five-dimensional construct with 15 facets. There are significant differences between customers and managers in terms of the importance attached to the various dimensions. The construct shows strong psychometric properties with high reliability and validity, thereby opening up opportunities to treat these facets as measurement indicators for the construct. Study 2 indicates that the effect of PCHQ on consumer loyalty and word-of-mouth (WOM) communication is stronger in social media than in traditional channels. Procedural justice and the overall quality of service solutions emerge as general dimensions of PCHQ because they are equally important in both channels. In contrast, interactional justice, distributive justice and customer effort have varying effects across the two channels. Research limitations/implications This study contributes to the understanding of a firm’s channel selection for complaint handling in two ways. First, it evaluates and conceptualizes the PCHQ construct. Second, it compares the effects of different dimensions of PCHQ on key marketing outcomes across traditional and social media channels. Practical implications This study enables managers to understand the difference in efficacy attached to different dimensions of PCHQ. It further highlights such differences across traditional and social media service channels. For example, the effect of complaint handling on social media is of particular importance when generating WOM communication. Originality/value This study offers a comprehensive conceptualization of the PCHQ construct and reveals the general and channel contingent effects of its different dimensions on key marketing outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.