Non-functional analysis of demand factors on demand for group members are aimed to discover whether there is significant impact of non functional variable demand potential purchasing decision. 3 independent variable for the Snob Effect of X1, X2 for the bandwagon effect and X3 for the Veblen Effect and a dependent variable Y for Purchase Decision (Demand). The survey has 50 respondents and uses 21 item of a valid indicator. Analysis uses Pearson correlation model, Canonical Correlation and Hybrid intercorellation. The result of statistical analysis has proved the LOC by 95%, shows that there is significant impact between variable of X to Y in a different format (trade off or trade on). Multivariate Canonical Correlation showed that the effect of variable X to variable Y at 0,27%% whereas the effect of variable Y to variable X at 1%
This study aims to analyze the interdependence between the variables of marketing strategy and organizational performance of insurance companies using canonical correlation analysis with multiple multivariate analysis approach. The interdependent correlation value may explain the subgroup which the dominant variable affects other subgroups on the company based on the value of redundancy index. The study population was 9 go public insurance companies when the study was conducted in 2013. Given two exogenous variables, i.e. variables Effectiveness Strategy (STRAEFEK) and Efficiency Strategy (STRATEFIS). Endogenous variable is the Debt to Asset Ratio (DAR), Debt to Eqiity Ratio (DER), Return on Assets (ROA), Return on Equity (ROE), Operating Profit Margin (OPM) and Net Profit Margin (NPM).
Analysis of financial distress at the main company that has sold its shares in an open society (go public) becomes so important because most companies always display the good side of the company in the form of financial reporting data each year. For ordinary people the financial statements audited by a valid and authorized institutions listed on stock exchange by naked eye showed a good performance in finance, but in a more in-depth analysis of the data the form of numbers that will give I different conclusion to the eyes economists and financial analysts to the case. In this study, it is used general sample 4 companies engaged in finance. The Discriminant analysis model using the Altman Z-Score that dissect the financial statements of the company for 3 years showed that not always the companies that have go public must be good financial performance as well. Two of four companies surveyed, in fact, are predicted theoretically bankrupt because the companies were experiencing financial distress.
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