True Satisfaction in Product e-Marketing Data-Information Knowledge Acquisition Evaluation Ontology; with focus on User Satisfaction Implementation Semantic Mechanism Methodology

摘要

The extravagance of the product electronic channel media and/or digital data is no longer a (product-big-data) facet, where “True Satisfaction” understanding of an Electronic Marketing (e-M) (data-information-knowledge strategic-to-operational) management; is provoking and sharing the satisfaction multidimensional inter-disciplinary and cross-disciplinary, resources data, experience information, consequences knowledge implications of all participant actors in a product e-M satisfaction true process environment. The “True Satisfaction” logic argues; that operational qualitative information research facilitates and illustrates strategic quantitative data research, and quantitative research do the same route, where both approach shape the available User Satisfaction (US) functional data-information suitability and PS context strategic-to-operational completeness interoperability, in a accumulative e-M Environment (e-ME) knowledge ability, to shape an intentional logical satisfaction perspective knowledge. While the framework semantic; convoys that, “ e-M implementation methodology is; the satisfaction projection and projection inferences of, US qualitative strategic physiological requirements, upon the Product Satisfaction (PS) quantitative operational physiological requirements, for an entity investigation of theoretical, intentional perspective and philosophical satisfaction backgrounds.”. Consequentially, the implementation technology; utilizes both quantitative and qualitative satisfaction research approaches, where they are strategically alignment, convoyed with integrity development, and implemented consuming transformation logic evaluation; in parallel, with satisfaction web analytics; knowledge production, validation process and integration perspectives’; nonetheless, e-ME web analytics semantic mechanisms evaluation is obtainable in one methodology.