Exploring the Impact of Industrial Marketing Strategy from Asymmetric Thinking in Data Analysis
Cheng-Feng Cheng1, Li-Chuan Hsieh1
Citation : Cheng-Feng Cheng,Li-Chuan Hsieh, Exploring the Impact of Industrial Marketing Strategy from Asymmetric Thinking in Data Analysis International Journal of Managerial Studies and Research 2016 , 4(10) : 74-82
This study attempts to evaluate the impact of industrial marketing strategy from the innovative cooperative manufacturer's perspectives and buyers' perspectives. In a highly competitive environment, marketing strategic management is one weapon for many firms to survive in the marketplace. Valuable strategic marketing enable a firm to obtain a dominant position and gain higher profits. Therefore, this study attempts to develop a theoretical model based on qualitative research to explore the strategic industrial marketing deal with overt cost per utility, information searching cost, moral hazard cost, and asset specificity cost. In order to examine the applicability of the proposed theoretical model, this study further conducts a quantitative research based on the qualitative research and will collect primary data from customers of cooperative manufacturer. The statistical techniques adopt contain descriptive statistics and qualitative comparative analysis using fuzzy sets (fsQCA).Based on the empirical analyses, this study attempts to derive several contributions. First of all, identify the major factors or causal conditions of high customer loyalty. Secondary, causal conditions of high customer loyalty support that the states causal combinations of high customer loyalty.