Validation of a measure of societal marketing orientation
Bibliographic Data
| ID | 12705394 |
|---|---|
| Authors | Steven Ward (0000-0001-6084-2785, Murdoch University, corresponding author), Aleksandra Lewandowska (0000-0002-1694-5151, Murdoch University) |
| Year | 2006 |
| Volume | 6 |
| Issue | 3-4 |
| Pages | 241-255 |
| Publication date | 2006-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Affairs (JOURNAL) |
| Journal identifiers | ISSN: 1472-3891 • E-ISSN: 1479-1854 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/pa.235 |
| OpenAlex | W1981425793 |
| Language | EN |
| Citations received | 4 |
| References cited | 42 |
Although there has been much debate and interest in the practices of societal marketing, there is currently no accepted measure of this construct. A measurement of societal marketing validated by Structural Equation Modelling (SEM) suggested this measure was one dimensional and consisted of five items measuring the lobbying of government and the degree of business charity. The factor structure was robust and did not vary across the four counties in the study. The final measure was positively correlated with the Narver and Slater (1990) measure of marketing orientation, industry association and performance. There was thus considerable evidence found for the construct validity of the measurement of societal marketing. Copyright © 2006 John Wiley & Sons, Ltd
Business · Construct (python library · Construct validity · Data mining · Economics · Government (linguistics · Measure (data warehouse · Statistics · Structural equation modeling · Computer Science · Corporate Identity and Reputation · Corporate Social Responsibility Reporting · Customer Service Quality and Loyalty · Mathematics · Marketing
A Primer of Lisrel
A Paradigm for Developing Better Measures of Marketing Constructs
Cause-Related Marketing
A Paradigm for Developing Better Measures of Marketing Constructs
Coefficient alpha and the internal structure of tests
Can test statistics in covariance structure analysis be trusted
Alternative Ways of Assessing Model Fit
| Citations per year | 0.2 |
|---|---|
| Citation span | 2006 - 2020 (15) |
| Highly cited | No |