Search results

The relationship between frontline employee work engagement and customer service evaluations is a major theme in service research. Recent studies have called for further exploration and validation of this relationship. This paper conceptually replicates the work engagement-customer service evaluations link within the context of technology-mediated voice-to-voice encounters. Moreover, we extend prior work by examining how work engagement influences customer service evaluations depending on the outcome of the service encounter (positive or negative).

The authors conducted a multilevel, multi-source study involving data from 4,198 customer interactions and 346 employees at a major European telecom operator. The data were analyzed using a linear mixed effects model.

The study could not replicate the relationship between work engagement and customer service evaluations in technology-mediated voice-to-voice encounters. The findings reveal that customers who interacted with a highly engaged employee but received a negative service outcome evaluated the interaction more negatively than those who interacted with a less engaged employee. Conversely, when the service outcome was positive, work engagement was not significantly related to customer service evaluations.

In voice-to-voice encounters, employee engagement appears to have little impact on customer service evaluations and can even be detrimental when the service outcome is negative. This study is among the first to empirically demonstrate a negative effect of work engagement on customer service evaluations. Future replication studies are needed to validate these findings.

This paper aims to provide a conceptual understanding of the drivers and outcomes of actor opportunism in the context of the three key actors of the sharing economy – the service provider, the platform and the consumer.

The research uses a conceptual approach by drawing on literature from within and outside of marketing.

The current research introduces a conceptual framework of opportunism in the sharing economy with seven underlying propositions. The framework posits a U-shaped moderating effect of social capital for the relationship between opportunism and its drivers, actor vulnerability and asset specificity. Furthermore, a 2 × 2 matrix consisting of two types of opportunistic behaviors (active and passive) and two coping strategies by other actors (defensive and nondefensive) suggests that passive opportunism tends to lead to value codestruction independently of the coping strategies employed by other actors. Counterintuitively, the combination of active opportunism and defensive coping strategy presents an opportunity for value cocreation due to its potential to break up older structures and generate new ones.

While our research provides a higher-level understanding of opportunism pertaining to platform, consumers and service providers in the sharing economy, future research could situate our framework within specific regulatory environments, incorporate the role of competitors and examine individual interaction effects between type of opportunism and coping strategies.

The framework enables service providers, platforms and consumers to identify drivers of opportunistic behaviors of their partners and discern instances in which opportunistic behaviors lead to value codestruction for all actors.

This research transcends prior work on the bright and dark sides of the sharing economy by identifying its dynamic nature and examining the contributing role of opportunism.

This study aims to identify a value co-creation framework for live streaming through tourism scenes (LStTS). It also clarifies the value attributes of LStTS and makes an empirical test.

The study used a mixed-method approach. In Study 1, a total of 12,216 pieces of viewers’ comments and ten web news reports were coded and analyzed employing a grounded theory approach. In Study 2, data were collected from 587 Douyin e-commerce users. Exploratory factor analysis and partial least squares structural equation modeling were used to test the value co-creation framework of LStTS.

In Study 1, six value attributes in three categories were identified based on a content analysis of viewers’ comments. In Study 2, a three-order factorial model of value co-creation in LStTS was identified and tested.

Our study is limited by the preponderance of female respondents in the sample and the unique nature of the research context.

Merchants and streamers should consider whether there is a fit between the merchandise and the tourism scene when selecting the tourism scene for live streaming marketing; they can select novel and beautiful natural tourism scenes to attract viewers. Detailed and comprehensive product information should be provided in the process of live streaming marketing and sharing with consumers.

The novelty of our study lies in the provision of a new value co-creation framework in LStTS, which offers a theoretical basis for analyzing the value of the tourism scene in live streaming marketing.