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A meta-analysis of convention satisfaction and loyalty A meta-analysis of convention satisfaction and loyalty

A meta-analysis of convention satisfaction and loyalty - PowerPoint Presentation

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A meta-analysis of convention satisfaction and loyalty - PPT Presentation

Shinyong Shawn Jung MBA Sarah Tanford PhD shinyongjungunlvedu sarahtanfordunlvedu Introduction With its significant economic contribution and other positive impacts overall the convention industry has focused on the factors that influence attendees satisfaction to generate re ID: 558596

satisfaction analysis 000 loyalty analysis satisfaction loyalty 000 effect meta convention sizeplower boundupper nsummary effectstotal boundfail safe number attributes

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Slide1

A meta-analysis of convention satisfaction and loyalty

Shinyong (Shawn) Jung, MBA, Sarah Tanford, Ph.D.

shinyong.jung@unlv.edu

sarah.tanford@unlv.eduSlide2

IntroductionWith its significant economic contribution and other positive impacts overall, the convention industry has focused on the factors that influence attendees’ satisfaction to generate repeat attendance, which is loyalty.

However, a consolidated review of research exploring the attributes and perceptions that have an impact on attendee satisfaction and loyalty is lacking. To fill this gap, a meta-analysis of convention journal articles was conducted.Slide3

Conceptual Model (Figure 1)Slide4

Meta-AnalysisMeta-analysis is a statistical method that synthesizes key research findings from multiple studies (Glass, 1976).

It evaluates effect sizes across an entire data set, enabling researchers to compare the relative magnitude of relationships between different variables. Slide5

MethodSince most of the studies use regression-based techniques, correlations are the appropriate effect size for analysis.

Following accepted meta-analysis procedures (Borenstein, Hedges, Higgins, & Rothstein, 2009), correlations were coded for every relationship illustrated in Figure 1. After the coding process was completed, the statistical analysis was conducted using Comprehensive Meta-Analysis version 3 (CMA) software.Slide6

Attributes-Satisfaction

Networking

4

1255

.600

.000

.380

.756

28

Education

8

1655

.520

.000

.308

.683

43

Convention environment

9

2183

.372

.000

.261

.474

27

Destination image

5

1305

.125.485-.223.4445

Number of effectsTotal NSummary effect sizepLower boundUpper boundFail-safe NSlide7

Attributes-Loyalty

Networking

8

1984

.428

.001

.193

.617

40

Education

9

1981

.330

.008

.090

.533

26

Convention environment

11

2650

.434

.000

.248

.589

29

Destination image

7

1818

.297.003.102.469

16Number of effectsTotal NSummary effect sizepLower boundUpper bound

Fail-safe

NSlide8

Perception-Satisfaction

Service quality

6

1321

.389

.000

.212

.541

24

Value

3

471

.231

.023

.033

.412

4

Number of effects

Total

N

Summary effect size

p

Lower

bound

Upper bound

Fail-safe

NSlide9

Perception-Loyalty

Service quality

5

1286

.533

.000

.337

.685

26

Value

6

1436

.369

.011

.089

.594

22

Number of effects

Total

N

Summary effect size

p

Lower

bound

Upper bound

Fail-safe

NSlide10

Satisfaction-Loyalty

Satisfaction-Loyalty

9

1996

.552

.000

.374

.691

49

Number of effects

Total

N

Summary effect size

p

Lower

bound

Upper bound

Fail-safe

NSlide11

ImplicationsSatisfaction relationships: “networking” and “education” are the top drivers of convention attendee satisfaction.

Loyalty relationships: “convention environment”, “networking”, and perceptions of “service quality” strongly influence in convention attendee loyalty. Similar to hospitality research, a strong relationship between “satisfaction” and “loyalty” in conventions was confirmed by the meta-analysis.