Original Research

Empirical testing of Kotler's high-performance factors to increase sales growth

Oren Dayan, Cecil A. Arnolds, Miemie Struwig
Acta Commercii | Vol 10, No 1 | a128 | DOI: https://doi.org/10.4102/ac.v10i1.128 | © 2010 Oren Dayan, Cecil A. Arnolds, Miemie Struwig | This work is licensed under CC Attribution 4.0
Submitted: 06 December 2010 | Published: 06 December 2010

About the author(s)

Oren Dayan, Nelson Mandela Metropolitan University, South Africa
Cecil A. Arnolds, Nelson Mandela Metropolitan University, South Africa
Miemie Struwig, Nelson Mandela Metropolitan University, South Africa

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Purpose and/or objectives: The primary objective of this study is to empirically test Kotler's (2003) high-performance model which ensures an increase in sales growth. More specifically, the study explores the influence of process variables (as measured by marketing strategies), resources management (as measured by the management of labour, materials, machines, information technology and energy) and organisational variables (as measured by TQM and organisational culture) on sales growth in the food, motorcar and high-technology manufacturing industries. Problem investigated Various research studies suggest that the managers of firms are continuously challenged in their attempts to increase their sales (Morre, 2007; Pauwels, Silva Risso, Srinivasan & Hanssens, 2004: 142-143; Gray & Hayes, 2007: 1). Kotler (2003) suggests a model that leads to a high performing business. The question is posed as to whether this model can be used to increase sales growth in all businesses. This study seeks to develop a generic model to increase sales growth across industries by using an adapted version of Kotler's (2003) high-performance model. The study investigates the application of this adapted model on the food, motorcar and high-technology manufacturing industries.

Design and/or methodology and/or approach: An empirical causal research design that includes 770 marketing and product development practitioners from multinational food, motorcar and high-technology manufacturing firms, was used in this study. A response rate of 76.1% was achieved as only 571 useable questionnaires were returned. The internal reliability and discriminant validity of the measuring instrument were assessed by the calculation of Cronbach alpha coefficients and the conducting an exploratory factor analysis respectively. Structural Equation Modelling SEM) was used to statistically test the relationships between the independent variables (marketing strategies, resource management, TQM and organisational culture) and the dependent variable (sales growth).

Findings and/or implications: As the achievement of increased sales, profits and market share is important to all industries, companies spend large amounts of money on research and development to increase sales and market share. The study's empirical results lead to a proposed model that shows the factors influencing sales growth. These factors include distribution channel development, third-party agreements, e-business, e-savings and a market-oriented organisational culture.


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