True User Satisfaction Data-Information-Knowledge Framework Implementation Semantic Methodology; with Case Study Prominence on, Green Energy Green e-Marketing Ontology Evaluation
Hani K. M, Abd El-Salam
Progress in Machines and Systems, Vol. 6, No. 2, 2017.
DOI: 
Link: http://www.dline.info/pms/fulltext/v6n2/pmsv6n2_1.pdf
Abstract:
The extravagance of the nano-Product electronic channel media and/or digital data is no longer a (nano-
Product-big-data) facet, where â€œTrue Satisfactionâ€ green understanding of an green Electronic Marketing (e-M) (datainformation-
knowledge strategic-to-operational) management; is provoking and sharing the green satisfaction
multidimensional inter-disciplinary and cross-disciplinary, resources data, experience information, consequences knowledge
implications of all participant actors in an nano-Product e-M satisfaction true process environment. The â€œTrue Satisfactionâ€
logic argues; that operational qualitative information research facilitates and illustrates strategic quantitative data research,
and quantitative research does the same rote, where both approaches shape the available User Satisfaction (US) green
functional data-information suitability and nano-composite Product Satisfaction (PS) context strategic-to-operational
completeness interoperability, in an accumulative e-M Environment (e-ME) knowledge ability, to shape an green intentional
logical satisfaction perspective knowledge. While the framework semantic; convoys that, â€œGreen nano-composite e-M
implementation research methodology is; the green satisfaction projection and projection inferences of, US qualitative
strategic physiological requirements, upon the PS quantitative operational physiological requirements, for a nano entity
investigation of green theoretical, intentional perspective and philosophical satisfaction backgrounds.â€. Consequentially,
the implementation technology mechanism; is, deciding the US measurements and targets, linking US strategies too PS
processes, and US green nano-composite strategy formulation, of both green 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 perspectiveâ€™s; nonetheless the data-information-knowledge web analytics evaluation, of green â€œtrue satisfactionâ€
inference implication, for US over PS research mechanisms is obtainable in the same one, green semantic process methodology.