Despite the pervasiveness of Six Sigma program implementations, there is increasing concern about implementation failures. One reason many Six Sigma programs fail is because an implementation model on how to effectively guide the implementation of these programs is lacking. Using a successful...

Material resources affect the levels of mortality. In cross-sectional relationships income has been found to be positively associated with survival, both within and between countries. Preston (1975, 1976), in particular, using cross-national data for three separate decades of the 20th century,...

We describe a meta-analysis of advertising conversion research findings that includes examining the influence of question framing on key output measures of advertising effectiveness. The article summarizes findings for 32 tourism-advertising studies. Two hypotheses are tested: (H1) the response...

PURPOSE OF STUDY: This is the third of a 3-part series presenting 2 effective applications--acuity and dosage--that describe how the business case for case management (CM) can be made. In Part I, dosage and acuity concepts were explained as client need-severity, CM intervention-intensity, and CM...

The paper proposes a research framework to study the influence of country of origin cues, consumer economic nationalistic and consumer ethnocentric tendencies toward product judgement of and the willingness to buy Australian brands. Categorization theory, confirmation bias and schema congruity...

Enterprise systems entail complex organizational interventions. Accurately gauging the impact of any complex information system requires understanding its multidimensionality, and the development of a correspondent, standardized, validated, and robust measurement instrument. Despite the...

This study employs two marketing theories: 1) the theory of image congruity and 2) the theory of brand loyalty. The purpose of this study is to examine the relationship between self-image and functional image toward brand coffeehouses. In addition, this study specifically identifies positive...

The current study aimed to determine the best method for estimating latent variable interactions as a function of the size of the interaction effect, sample size, the loadings of the indicators, the size of the relation between the first-order latent variables, and normality. Data were simulated...

In latent growth modeling (LGM), model selection and inference are treated as separate stages of data analysis, but they are generally conducted on the assumption that the model is known a priori and thus model selection and inference are performed on the same data set. This two-step process...

Switching costs has been recognised as a primary reason why dissatisfied customers stay with their suppliers. While a validated multidimensional scale of switching costs exists in a business-to-consumer context, there has been little empirical research effort devoted to operationalising...