A structural equation and prediction model of sales organization effectiveness and its antecedents for consumer goods companies in the Philippines

• Main Authors: Patricio, Caroline R., Sim, Andrew Michael C., Urriquia, Karla Mae S.
• Format: text
• Language: English
• Published: Animo Repository 2007
• Subjects: Consumer goods; Sales management; Organizational effectiveness; Mathematical models; System analysis; Industrial engineering > Statistical methods
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/7113
• Institution: De La Salle University

Increasing global competition, and additional problems brought about by low levels of economic growth have increased the need for seeking out for greater effectiveness within the sales organization. The existing studies made on the antecedents of sales organization effectiveness gave different results. This is the reason why it is important to identify the antecedents of sales organization effectiveness and how the relationships of the indicators for each antecedent contribute to the effectiveness of the sales organizations of consumer goods companies in the Philippines. A Structural Equation Model for Sales Organization Effectiveness (SEM for SOE) of Philippine consumer goods companies was formulated using Analysis of Moment Structures (AMOS) software. The first test conducted was the Factor Analysis using Statistical 7.0 followed by confirmatory factor analysis using AMOS to identify significant variables that SOE is dependent on. Significant variables, named as indicators are at the same time clustered to four classifications namely: Actions of Sales Manager and Salespeople, Involvement of Sales Managers, Characteristics of Salespeople, and Non-Selling activities of Salespeople. Path analysis, using AMOS, was done to determine the significant measures of SOE here in the Philippines and the interrelationship of the four antecedents to the identified measures of SOE. The significant measures are found to be sales volume and profitability. The formulated SEN for SOE is validated through post-interview and percent differences of predicted and actual SOE measures. SEM for SOE was proved to be a better representation of sales organizations of Philippine consumer goods companies since it can predict measures of SOE with a percentage error of not more than 6%. Quadrant analysis was performed to provide the SOE Matrix which shows the placement of the respondent companies with respect to their predicted sales volume and profitability. Each quadrant of the SOE Matrix corresponds to specific characteristics of consumer goods companies. An automated SOE program was made as a tool for the companies to predict their sales volume and profitability driven by their current practices without having to wait for one whole period to end. The automated SOE is an integration of all the results and findings of the study to provide companies with something tangible to work on. Details or recommendations on what the company should do are as well provided in the said program.