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Frontline employees’ collaboration in industrial service innovation: routes of co-creation’s effects on new service performance

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TLDR
In this paper, the authors examined how the collaboration with FLEs along the new service development (NSD) process, namely FLE co-creation, impacts on service innovation performance following two routes of different effects.
Abstract
From a Service-Dominant Logic (S-DL) perspective, employees constitute operant resources that firms can draw to enhance the outcomes of innovation efforts. While research acknowledges that frontline employees (FLEs) constitute, through service encounters, a key interface for the transfer of valuable external knowledge into the firm, the range of potential benefits derived from FLE-driven innovation deserves more investigation. Using a sample of knowledge intensive business services firms (KIBS), this study examines how the collaboration with FLEs along the new service development (NSD) process, namely FLE co-creation, impacts on service innovation performance following two routes of different effects. Partial least squares structural equation modeling (PLS-SEM) results indicate that FLE co-creation benefits the NS success among FLEs and firm’s customers, the constituents of the resources route. FLE co-creation also has a positive effect on the NSD speed, which in turn enhances the NS quality. NSD speed and NS quality integrate the operational route, which proves to be the most effective path to impact the NS market performance. Accordingly, KIBS managers must value their FLEs as essential partners to achieve successful innovation from an internal and external perspective, and develop the appropriate mechanisms to guarantee their effective involvement along the NSD process.

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Journal ArticleDOI

Identification of the factors that influence service innovation in manufacturing enterprises by using the fuzzy DEMATEL method

TL;DR: In this paper, the authors identify and analyze the factors that influence service innovation based on a service ecosystems perspective in manufacturing enterprises and identify the key influencing factors, including customer participation, frontline employee participation, information technology capability, knowledge sharing, senior management support, and market turmoil.
Journal ArticleDOI

Leveraging Frontline Employees’ Small Data and Firm-Level Big Data in Frontline Management: An Absorptive Capacity Perspective

TL;DR: In this article, the authors proposed an integrative conceptual framework that captures not only the benefits but also the costs of big data for managing the frontline employee (FLE)-customer interaction.
Journal ArticleDOI

Co-creation with clients of hotel services: the moderating role of top management support

TL;DR: In this paper, the authors examined the effects of new service co-creation with customers in the hotel industry on NS performance, as well as the moderating role of top management support, and explored the main barriers faced by hotels to co-create service innovations.
Journal ArticleDOI

Frontline employees' participation in service innovation implementation: The role of perceived external reputation

TL;DR: In this paper, the authors investigated how employees' perceived external reputation is associated with their willingness to participate in service innovation implementation, and found that the link between perceived reputation and service innovation behavior is mediated by expected reputation gains and expected positive performance outcomes.
Journal ArticleDOI

Be flexible: turning innovativeness into competitive advantage in hospitality firms

TL;DR: In this article, the authors used data from hospitality firms operating in an emerging economy with a fast-growing hospitality sector and found that organizational flexibility is an important mediator in the relationship between innovation capabilities and competitive advantage.
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