Understanding the consumer market meant changing the focus from products, to customer service practice, unto the current view of the customer. Mass Customization was once considered impossible and deemed unnecessary Boulding et, al. (2005). Sometime before 1983 researchers did not look at compiled databases of consumer information as the goldmine modern Customer Relational Management (CRM) designers do. Today companies pay millions of dollars to advertise products and services through relational databases to find its roaming consumer base (Wolf, Grein, & Queisser, 2014).
Beyond understanding the consumer behavior in relationship to a product or service is an analysis of the market and surrounding factors (Herman, 1996). SWOT analysis are used to observe some of the factors that are subject to influence the success of the product or services (Cathartic, 2016). In the environment we as researchers are looking to make predictions based on the impact of the observatory factors. Empirical methodology allows researchers the option to test theory in actual practice while performing the service or product offering.
Empirically it is difficult to observe the influences of relational databases influences on (CRM) on the market because of its mass robust nature (Wolf, Grein, & Queisser, 2014). The ecommerce model and all of its many influences has been the contributing factor for changed business models, and literature growth in marketing theory. Technology features that are compatible with most phones has presented the consumer experience the power to personalize relationships with merchants, & products, and service providers, & services. Social influences still account for many of the variables that influence the efficient market products and services for the shopping connoisseur.
Reference
Boulding, W., Staelin, R., Ehret, M., & Johnston, W. J. (2005). A Customer Relationship Management Roadmap: What Is Known, Potential Pitfalls, and Where to Go. Journal Of Marketing, 69(4), 155-166. doi:10.1509/jmkg.2005.69.4.155
Herman, N. (1996). The whole brain business book. McGraw-Hill Companies. New York, NY
Sujatha, V. (2016). A review on survival analysis in medical journals using SWOT as a tool. Research Journal of Pharmacy and Technology, 9(2), 185-189. doi:http://dx.doi.org/10.5958/0974-360X.2016.00033.0
Wolf S, Grein S and Queisser G (2014). NeuGen 2.0 - Automatic generation of large neuron networks using anatomical data bases. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00098
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