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Journal ArticleDOI

Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social Media

12 Feb 2019-Journal of Interactive Advertising (Routledge)-Vol. 19, Iss: 1, pp 58-73
TL;DR: In this paper, preliminary research involves preliminary research to understand the mechanism by which influencer marketing affects the effectiveness of influencer campaigns, and the results show that the effect of influencers' marketing on the performance of online advertising has been studied.
Abstract: In the past few years, expenditure on influencer marketing has grown exponentially. The present study involves preliminary research to understand the mechanism by which influencer marketing affects...
Citations
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Journal ArticleDOI
TL;DR: In this article , the authors explored the dynamics of influencer marketing in the B2B sector by drawing on employee advocacy, customer reference marketing and organisational endorsement theories, and explicating the strategic application of influencers in B2Bs context.

6 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the effect of brand encroachment on interactivity of social media influencers and examined the mediating effects of both passion and personal power on the importance of interactivity.
Abstract: As social media platforms continue to have an increased presence in influencer marketing, researchers and practitioners are seeking ways to optimize the use of these platforms. The purpose of this study is to investigate the effect of brand encroachment, a level of brand's control over the promotion executed by social media influencers (SMIs), on the importance of interactivity of SMIs.,This study examined the effect of brand encroachment on interactivity whilst examining the mediating effects of both passion and personal power. The study was an online, one-factor between-subjects design comparing high level of brand encroachment vs low level of brand encroachment.,The results of the experimental study suggest that as brand encroachment decreases, there is an increasing importance of being interactive. In addition, with lower brand encroachment, SMIs portray more personal power and passion toward the product or service being promoted.,As influencers create communities via increased levels of engagement, authenticity and relatability, it is of paramount importance that SMIs build relationships through interactivity in low-brand encroachment settings. Brands should offer more opportunities for SMIs to be interactive with their audience, while intrinsically building their personal power and passion as sources for these interactions.

6 citations

Journal ArticleDOI
TL;DR: While consumers seem to perceive humblebragging as an effective self-presentation strategy that allows them to subtly promote their positive aspects, some humble-bragging practices have invited nega...
Abstract: While consumers seem to perceive humblebragging as an effective self-presentation strategy that allows them to subtly promote their positive aspects, some humblebragging practices have invited nega...

6 citations


Cites background from "Influencer Marketing: How Message V..."

  • ...Research suggests that celebrities and influencers differ in several aspects, such as attractiveness, expertise, status, and authenticity (Schouten, Janssen, and verspaget 2020; lou and Yuan 2019)....

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Journal ArticleDOI
TL;DR: In this paper , the influence process of advertising recognition on consumer responses in the SMI marketing context is explored and the boundary conditions under which consumer responses to advertising recognition are moderated.

6 citations

References
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Journal ArticleDOI
01 Jan 1973
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Abstract: Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each. Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today - e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations. Table of Contents 1. Introduction. I. PREPARING FOR A MULTIVARIATE ANALYSIS. 2. Examining Your Data. 3. Factor Analysis. II. DEPENDENCE TECHNIQUES. 4. Multiple Regression. 5. Multiple Discriminant Analysis and Logistic Regression. 6. Multivariate Analysis of Variance. 7. Conjoint Analysis. 8. Canonical Correlation Analysis. III. INTERDEPENDENCE TECHNIQUES. 9. Cluster Analysis. 10. Multidimensional Scaling. IV. ADVANCED AND EMERGING TECHNIQUES. 11. Structural Equation Modeling. 12. Emerging Techniques in Multivariate Analysis. Appendix A: Applications of Multivariate Data Analysis. Index.

37,124 citations

Journal ArticleDOI
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Abstract: I Introduction 1 Introduction II Preparing For a MV Analysis 2 Examining Your Data 3 Factor Analysis III Dependence Techniques 4 Multiple Regression Analysis 5 Multiple Discriminate Analysis and Logistic Regression 6 Multivariate Analysis of Variance 7 Conjoint Analysis IV Interdependence Techniques 8 Cluster Analysis 9 Multidimensional Scaling and Correspondence Analysis V Moving Beyond the Basic Techniques 10 Structural Equation Modeling: Overview 10a Appendix -- SEM 11 CFA: Confirmatory Factor Analysis 11a Appendix -- CFA 12 SEM: Testing A Structural Model 12a Appendix -- SEM APPENDIX A Basic Stats

23,353 citations

Journal ArticleDOI
TL;DR: Relationship marketing, established, developing, and maintaining successful relational exchanges, constitutes a major shift in marketing theory and practice as mentioned in this paper, after conceptualizing relationship relationships as a set of relationships.
Abstract: Relationship marketing—establishing, developing, and maintaining successful relational exchanges—constitutes a major shift in marketing theory and practice. After conceptualizing relationship marke...

19,920 citations

Book
01 Jan 2014
TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Abstract: With applications using SmartPLS (www.smartpls.com)—the primary software used in partial least squares structural equation modeling (PLS-SEM)—this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.

13,621 citations


"Influencer Marketing: How Message V..." refers background or methods in this paper

  • ...A collinearity assessment showed no significant levels of collinearity between any sets of predicting variables (with variance inflation factor [VIF] falling between tolerance range .20 and 5.0) (Hair et al. 2014)....

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  • ...Conversely, PLS-SEM estimates model parameters in a way that maximizes the variance explained in endogenous variables and is preferred for research aimed at theory development and prediction (Hair et al. 2014, p. 14)....

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  • ...CB-SEM uses a maximum likelihood estimation (MLE) procedure to estimate model coefficients “so that the discrepancy between the estimated and sample covariance matrices is minimized” (Hair et al. 2014, p. 27)....

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  • ...The latent variables in the current model all have reflective measurements: indicators which predict one particular construct and which are highly correlated to one another and represent the effects of the latent construct (Hair et al. 2014, p. 43)....

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Posted Content
TL;DR: An evaluation of double-blind reviewed journals through important academic publishing databases revealed that more than 30 academic articles in the domain of international marketing (in a broad sense) used PLS path modeling as means of statistical analysis.
Abstract: Purpose: This paper discusses partial least squares path modeling (PLS), a powerful structural equation modeling technique for research on international marketing. While a significant body of research provides guidance for the use of covariance-based structural equation modeling (CBSEM) in international marketing, there are no subject-specific guidelines for the use of PLS so far.Methodology/approach: A literature review of the use of PLS in international marketing reveals the increasing application of this methodology.Findings: This paper reveals the strengths and weaknesses of PLS in the context of research on international marketing, and provides guidance for multi-group analysis.Originality/value of paper: The paper assists researchers in making well-grounded decisions regarding the application of PLS in certain research situations and provides specific implications for an appropriate application of the methodology.

7,536 citations


"Influencer Marketing: How Message V..." refers methods in this paper

  • ...PLS path modeling is also recommended over CBSEM for testing complex models with many latent variables (Henseler, Ringle, and Sinkovics 2009)....

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  • ...Then we performed a second bootstrapping analysis, specifying 5,000 subsamples and a 95% significance level, to obtain each path coefficient’s standard error and p value (Henseler, Ringle, and Sinkovics 2009) (Table 3)....

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Trending Questions (2)
How message value and credibility affect consumer trust of branded content on social media?

The paper states that the informative and entertainment value of influencer-generated posts, along with influencers' credibility components, positively affect followers' trust in influencer-generated branded posts.

When users pay close attention to influencer content, they tend to have greater recall and trust?

Yes, when users pay close attention to influencer content, they are more likely to have greater recall and trust.