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Journal ArticleDOI

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

TL;DR: 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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Citations
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Journal ArticleDOI
TL;DR: An integrative, S-D logic–informed framework of CE is developed comprising three CE foundational processes, which are required (for customer resource integration), or conducive ( for customer knowledge sharing/learning) CE antecedents.
Abstract: Research addressing the micro-foundational theoretical entity of customer engagement (CE) has proliferated in recent years. In parallel, the macro-foundational theory of service-dominant (S-D) logic is thriving. While the fit of CE/S-D logic has been recognized, insight into this theoretical interface remains tenuous, as explored in this paper. We develop an integrative, S-D logic–informed framework of CE comprising three CE foundational processes, which are required (for customer resource integration), or conducive (for customer knowledge sharing/learning) CE antecedents. While customer resource integration, in some form, extends to coincide with CE, customer knowledge sharing/learning can also do so. We also identify three CE benefits (customer individual/interpersonal operant resource development, cocreation) as CE consequences, which can also coincide with CE. Deploying the framework, we revise Brodie et al.’s (Journal of Service Research, 14(3), 252–271, 2011) fundamental propositions of CE and apply these to customer relationship management. We conclude with theoretical and managerial implications, followed by future research avenues.

524 citations


Cites background from "Frontline employees’ collaboration ..."

  • ...Customer resource integration, knowledge sharing and learning, by stimulating CE, thus contribute to the development of customer cocreation (Fombelle et al. 2015; Santos-Vijande et al. 2016)....

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  • ...1 customer cocreation is represented at the intersection of customer resource integration and knowledge sharing, which are facilitated by the “joint activities for or with stakeholders” inherent in cocreation (Santos-Vijande et al. 2016)....

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01 Jan 2007
TL;DR: Exploring the Contributions of Ordinary Users in Ideation of Technology-Based Services as discussed by the authors explores the contributions of ordinary users in the creation of technology-based services and explores the role of the average user in this process.
Abstract: Exploring the Contributions of Involving Ordinary Users in Ideation of Technology-Based Services

290 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed the pioneering version of Krueger's integrated model of entrepreneurial intention and empirically tested the new model in explaining individuals' intentions of entrepreneurial activities and found that desirability is the main determinant of entrepreneurial goal intention, followed by self-efficacy, feasibility, opportunity, attitude, and collectiveefficacy.

257 citations

Journal ArticleDOI
TL;DR: Innovativeness and trust were found not to significantly affect the E-learning system acceptance, and knowledge sharing and quality in the universities have a positive influence on E- learning acceptance among the students.
Abstract: The main objective of this article is to study the factors that affect university students’ acceptance of E-learning systems. To achieve this objective, we have proposed a new model that aims to investigate the impact of innovativeness, quality, trust, and knowledge sharing on E-learning acceptance. Data collection has taken place through an online questionnaire survey, which was carried out at The British University in Dubai (BUiD) and University of Fujairah (UOF) in the UAE. There were 251 students participated in this study. Data were analyzed using SmartPLS and SPSS. The Structural Equation Modelling (SEM) has been used to validate the proposed model. The outcomes revealed that knowledge sharing and quality in the universities have a positive influence on E-learning acceptance among the students. Innovativeness and trust were found not to significantly affect the E-learning system acceptance. By identifying the factors that influence the E-learning acceptance, it will be more useful to provide better services for E-learning. Other implications are also presented in the study.

175 citations


Cites methods from "Frontline employees’ collaboration ..."

  • ...Researchers should examine mediating effects by following (Preacher and Hayes 2008) and bootstrapping the sampling distribution of the indirect effect (Santos-Vijande et al. 2016), which is appropriate for simple and different mediator models Bootstrapping should be started, followed by Indirect Effects + Confidence Interval Bias Corrected....

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  • ...…should examine mediating effects by following (Preacher and Hayes 2008) and bootstrapping the sampling distribution of the indirect effect (Santos-Vijande et al. 2016), which is appropriate for simple and different mediator models Bootstrapping should be started, followed by Indirect…...

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Journal ArticleDOI
TL;DR: This study confirms that the flipped classroom has positive effects on students’ knowledge, skills, and engagement and develops a measurement scale and a structural equation model to analyze the causal relationships of knowledge, Skills and engagement with students' satisfaction.
Abstract: The aim of this research is to present a successful flipped classroom proposal in higher education to better understand its influence in terms of knowledge, skills and engagement. The reason why we focus on these three dimensions is because of their core roles in the international learning conceptual frameworks presented above to increase the employability of Generation Z students in the digital society of the 21st century. In doing so, first, we first develop a measurement scale (4D_FLIPPED) to explore the degree of flipped classroom presence in our higher education learning experience. Then, we present a structural equation model to analyze the causal relationships of knowledge, skills, and engagement with students' satisfaction. The empirical results point out that there are four fundamental dimensions that should be present in the flipped classroom to be successful in the 21st century with Generation Z. This study also confirms that the flipped classroom has positive effects on students’ knowledge, skills, and engagement. Our research provides useful recommendations and insights for academia.

156 citations

References
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Book
01 Dec 1969
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.
Abstract: Contents: Prefaces. The Concepts of Power Analysis. The t-Test for Means. The Significance of a Product Moment rs (subscript s). Differences Between Correlation Coefficients. The Test That a Proportion is .50 and the Sign Test. Differences Between Proportions. Chi-Square Tests for Goodness of Fit and Contingency Tables. The Analysis of Variance and Covariance. Multiple Regression and Correlation Analysis. Set Correlation and Multivariate Methods. Some Issues in Power Analysis. Computational Procedures.

115,069 citations


"Frontline employees’ collaboration ..." refers methods in this paper

  • ...This power analysis was carried out with the statistical package G+ Power 3 (Faul et al. 2007), which allowed us to determine that for the structural model and the sample we work, the power value is 0.85 (α=0.05 and f2=0.15), which exceeds the criterion of 0.80 recommended by Cohen (1988)....

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Journal ArticleDOI
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...
Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...

56,555 citations


"Frontline employees’ collaboration ..." refers background in this paper

  • ...As confirmation of the existence of discriminant validity, for each pair of latent variables the square root of AVE exceeded correlations between the latent variables (Fornell and Larcker 1981)....

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Journal ArticleDOI
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.
Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

52,531 citations


"Frontline employees’ collaboration ..." refers methods in this paper

  • ...Thus, we initially addressed the minimization of common method variance through study design (Hansen et al. 2013; Podsakoff et al. 2003, 2012): first, we included a psychological separation between predictor and criterion variables to prevent respondents to establish a causal relationship between…...

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  • ...With reference to the statistical remedies applied (Hansen et al. 2013; Pavlou et al. 2007; Podsakoff et al. 2003, 2012), we first carried out Harman’s single-factor test and found that no single factor accounted for more than 30% of the variance, which is below the 50% threshold set by Podsakoff…...

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Journal ArticleDOI
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.
Abstract: G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of thet, F, and χ2 test families. In addition, it includes power analyses forz tests and some exact tests. 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. Like its predecessors, G*Power 3 is free.

40,195 citations


"Frontline employees’ collaboration ..." refers methods in this paper

  • ...This power analysis was carried out with the statistical package G+ Power 3 (Faul et al. 2007), which allowed us to determine that for the structural model and the sample we work, the power value is 0....

    [...]

  • ...This power analysis was carried out with the statistical package G+ Power 3 (Faul et al. 2007), which allowed us to determine that for the structural model and the sample we work, the power value is 0.85 (α=0.05 and f2=0.15), which exceeds the criterion of 0.80 recommended by Cohen (1988)....

    [...]

Journal ArticleDOI
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.
Abstract: In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

34,720 citations


"Frontline employees’ collaboration ..." refers background in this paper

  • ...Indeed, for the first-order latent variables, as shown in Table 1, all loadings are above the threshold of 0.6, and the associated t-statistic is statistically significant (Anderson and Gerbing 1988; Hulland 1999)....

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  • ...6, and the associated t-statistic is statistically significant (Anderson and Gerbing 1988; Hulland 1999)....

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