Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social Media
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...
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TL;DR: In this article, the authors examined the impact of information publicity on tourists' intention to visit rural destinations in developing countries based on the theory of planned behavior (TPB), and further investigated the moderating effect of social media disposition and social media use.
Abstract: The purpose of this study is to examine the impact of information publicity on tourists’ intention to visit rural destinations in developing countries. Based on the theory of planned behavior (TPB), we examine the indirect effect of information publicity on intention to visit via subjective norms and further investigate the moderating effect of social media disposition and social media use. The study using data from a time-lagged design with three waves supports the hypothesized model. The findings reveal that information publicity influences tourists’ intention to visit through the mediating effect of subjective norms. Also, the social media disposition strengthens the relationship between information publicity and subjective norms. Furthermore, social media use positively moderates the relationship between subjective norms and intention to visit. Besides the core TPB constructs, the added variables indeed exert a substantial impact on tourists’ visit intention. The study contributes to the tourism-related literature on social media and the practical implications are discussed.
11 citations
TL;DR: In this paper, the authors examined factors driving millennial loyalty towards artificial intelligence (AI)-enabled mobile banking services in Islamic banks and found that service quality, attitude towards AI and trust are determinants important for millennial loyalty toward AI-enabled mobile banks.
Abstract:
Purpose
This study aims to examine factors driving millennial loyalty towards artificial intelligence (AI)-enabled mobile banking services in Islamic banks.
Design/methodology/approach
This research collected the data from 204 millennial customers of Islamic banks in Aceh, Indonesia. Partial least square (PLS) was used to evaluate the effect of service factors (the need for service and service quality), technology-based factors (attitudes towards AI, relative advantage, security and trust) and religiosity on millennial loyalty towards AI-enabled mobile banking.
Findings
This inquiry reveals that service quality, attitude towards AI and trust are determinants important for millennial loyalty towards AI-enabled mobile banking. Further, this research notes the significant role of religiosity on millennial loyalty towards mobile banking services.
Practical implications
This study suggests Islamic banks focus on developing millennial trust and attitude towards AI to increase their loyalty towards AI-enabled mobile banking services. Further, Islamic banks operation that complies with Islamic law is strongly suggested to develop millennial loyalty.
Originality/value
To the best of the authors’ knowledge, this is the first study that tries to scrutinize loyalty towards AI-enabled mobile banking.
11 citations
TL;DR: In this paper , the authors investigate factors that build customer repurchase intention toward Indonesia's online shop in the e-marketplace and explore the mediating impact of trust on repurchase intent.
Abstract: Abstract Pandemic COVID-19 brought an impact on the decline of the economy in Indonesia. However, in the pandemic COVID-19, a lot of retailers switch their business to online shops that use e-marketplace. The study aims to empirically investigate factors that build customer repurchase intention toward Indonesia's online shop in the e-marketplace and explore the mediating impact of trust on repurchase intention. This study employs quantitative analyses. The respondent from this study is customers of online shop that use e-marketplaces in Indonesia. This study used SEM-PLS to analyze the research model and data. The model was empirically tested using 407 respondents’ data. The result showed that customer trust, digital influencer influence, social e-WOM, information quality positively impacted customer repurchase intention. The result also showed that customer trust mediates the relationship between variable digital influencer influence, information quality, and social e-WOM with customer repurchase intention. Moreover, social e-WOM and information quality are essential predictors in building customer repurchase intention. This study tries to reduce the gap in the marketing literature by providing empirical evidence about the influence of digital influencers on customer decision-making.
11 citations
TL;DR: In this article, the authors conducted one-on-one semi-structured interviews with experts from Western Europe, Australia and North America, in the fields of public health (policy), nutrition science, social media marketing, adolescent medicine, clinical psychology, behavioural sciences, communication, food industry, social influencing, and social marketing.
11 citations
TL;DR: In this article, the authors reviewed the literature focusing on changes in purchasing patterns in the beauty market after the COVID-19 pandemic and found that the past and present purchasing of beauty products were rapidly changed.
Abstract: Background With online purchases' skyrocketing due to COVID-19, there has been a big change in the beauty products consumers' purchase. Aims The purpose of this paper was to review the literature focusing on changes in purchasing patterns in the beauty market after COVID-19 pandemic. Methods This review paper is a literature review, and the method is a narrative review. Results The past and present purchasing of beauty products were rapidly changed. The cosmetics and many beauty products were increased purchasing rate due to marketing of Wanghong broadcasting. Also, the non-face-to-face market environment has expanded after COVID-19. Conclusion As COVID-19 pandemic changes consumer values and lifestyle, its role and function are changing and its purchasing patterns are altered.
11 citations
References
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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
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
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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