scispace - formally typeset
Open AccessJournal ArticleDOI

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

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Structuring a Training-Oriented High Performance Work System: A Systematic Review on Frontline Employees in the Service Sector:

TL;DR: In this article, the service sector's inherent dynamism, organizations ultimately rely on their employees' and managers' knowledge, skills, and capabilities to complete tasks for their clients, however, the l...
Journal ArticleDOI

Strategic Leadership Style and Commitment to Service Quality on Services Innovation in Local Enterprise Water Services

TL;DR: In this article, the authors explored and examined the theoretical framework regarding the influence of strategic leadership styles that include transformational leadership style and transactional leadership styles as well as their influence on commitment to service quality and how leadership style influences service innovation in local enterprise water services.
Journal ArticleDOI

Exploring the antecedents and consequences of effectuation in NPD: the moderating role of firm size

TL;DR: Using survey data from Chinese firms, this paper explore the potential antecedents and consequences of effectuation in new product development (NPD) activities, as well as investigate the moderating...
Book ChapterDOI

Service Innovation from the Frontlines in Customer-Centric Organizations

TL;DR: In this paper, a meta-analysis of the literature on service innovation, defined as the introduction of new or enhanced offerings that increase customer value, showed two consistent themes despite the significant heterogeneity of findings across studies.
Journal ArticleDOI

From Ethical Leadership to Team Creativity: The Mediating Role of Shared Leadership and the Moderating Effect of Leader–Member Exchange Differentiation

TL;DR: In this paper, the authors used multisource samples and team-level data with a moderated mediation model with PLS-SEM method to empirically test their hypotheses, using a sample of 30 leaders and 233 team members who work at HRD Korea where a team structure is utilized.
References
More filters
Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI

Common method biases in behavioral research: a critical review of the literature and recommended remedies.

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Journal ArticleDOI

G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.
Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Related Papers (5)
Trending Questions (1)
How might ambivalence impact front line service employee performance?

Ambivalence may hinder front line service employee performance by affecting their commitment to service provision and collaboration in service innovation, potentially leading to decreased customer outcomes.