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Article
Publication date: 16 April 2020

Hanna Lee and Sun-Jin Hwang

The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of…

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Abstract

Purpose

The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of self-monitoring.

Design/methodology/approach

A web-based experimental design was used. The design consisted of three-mixed design of 2 (type of social networking sites) × 2 (type of online brand communities) × 2 (self-monitoring). ANOVA analysis was conducted.

Findings

Findings indicate that the differences in acceptance and diffusion of WOM according to online brand community type, and there was a significant three-way interaction effect. Specifically, people who have high propensity to self-monitor showed greater WOM acceptance in a consumer-driven community in either type of social networking sites while people who have low propensity to self-monitor showed greater WOM diffusion in a consumer-driven community only in interest-based social networking sites.

Practical implications

An important implication is that the social networking sites where brand communities can be placed should be chosen with the full consideration of different desires consumers have in terms of their level of self-monitoring to increase WOM effects.

Originality/value

This paper proposes the self-monitoring tendency as the key factor that predicts WOM effects with revealing the optimal combination of types of social networking sites and online brand communities that is most preferable for consumers with different self-monitoring level.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1361-2026

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Book part
Publication date: 15 April 2020

Jianning Kong, Peter C. B. Phillips and Donggyu Sul

Measurement of diminishing or divergent cross section dispersion in a panel plays an important role in the assessment of convergence or divergence over time in key economic…

Abstract

Measurement of diminishing or divergent cross section dispersion in a panel plays an important role in the assessment of convergence or divergence over time in key economic indicators. Econometric methods, known as weak σ-convergence tests, have recently been developed (Kong, Phillips, & Sul, 2019) to evaluate such trends in dispersion in panel data using simple linear trend regressions. To achieve generality in applications, these tests rely on heteroskedastic and autocorrelation consistent (HAC) variance estimates. The present chapter examines the behavior of these convergence tests when heteroskedastic and autocorrelation robust (HAR) variance estimates using fixed-b methods are employed instead of HAC estimates. Asymptotic theory for both HAC and HAR convergence tests is derived and numerical simulations are used to assess performance in null (no convergence) and alternative (convergence) cases. While the use of HAR statistics tends to reduce size distortion, as has been found in earlier analytic and numerical research, use of HAR estimates in nonparametric standardization leads to significant power differences asymptotically, which are reflected in finite sample performance in numerical exercises. The explanation is that weak σ-convergence tests rely on intentionally misspecified linear trend regression formulations of unknown trend decay functions that model convergence behavior rather than regressions with correctly specified trend decay functions. Some new results on the use of HAR inference with trending regressors are derived and an empirical application to assess diminishing variation in US State unemployment rates is included.

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Book part
Publication date: 15 March 2013

Nam-Hwa Kang

Purpose – The purpose of the research was to examine the process of new teacher evaluation policy development in South Korea, in order to gain insight into how a controversial…

Abstract

Purpose – The purpose of the research was to examine the process of new teacher evaluation policy development in South Korea, in order to gain insight into how a controversial policy could be established in education. Research questions were about the process of the policy development, political actors involved and their influences, and the meaning of teacher evaluation in the newly established teacher evaluation policy.Methodology – The study uses a qualitative and descriptive-analytical process from a hermeneutics perspective that views policy as text to be interpreted. This perspective allows policy to be connected to a larger social context through interpretations of text. The main data sources included policy documents, statements by various organizations, research reports, and public media artifacts produced between 2000 and 2012. For data analysis, constant comparison and content analysis methods were used.Findings – The findings show that the process of developing a teacher evaluation system demonstrated an unsuccessful attempt to apply the Habermasian notion of discursive democracy. Relevant stakeholders were invited to deliberate on the reform, but official meetings ended prematurely without consensus. In the end, the government proceeded without full support of any stakeholders. During the deliberation process, teacher organizations and parent groups demonstrated conflicting perspectives on teacher work and the new evaluation system only partially accommodated both perspectives. The effectiveness of the new evaluation system remains to be researched.Value – The policy development process and the evaluation system shown in this study should inform similar efforts in other contexts.

Details

Teacher Reforms Around the World: Implementations and Outcomes
Type: Book
ISBN: 978-1-78190-654-5

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