Abd El-Salam, Hani K. M2019-11-242019-11-242019H. Abd Elsalam, M. Abd Razek, M. Mohe Eldin, "Towards Flexible e-Marketing System", UKSim AMSS European Modelling Symposium IEEE, pp. 78-83, 2012. Show Context View Article Full Text: PDF (361KB) Google Scholar 2. H. Abd Elsalam, M. Abd Razek, M. Mohe Eldin, "True Performance Evaluation Methodology in e-Marketing", UKSim International Conference on Computer Modelling and Simulation IEEE, pp. 67-72, 2013. Show Context View Article Full Text: PDF (204KB) Google Scholar 3. "Guide to the Software Engineering Body of Knowledge Version 3.0", IEEE Computer Society, september 2016, [online] Available: https://www.computer.org/web/swebok/v3. Show Context Google Scholar 4. "Systems and software engineering Systems and software Quality Requirements and Evaluation (SQuaRE)", System and software quality models. ISO/IEC 25010, 2011978-1-7281-0851-3https://ieeexplore.ieee.org/abstract/document/8715098/references#referencesAccession Number: WOS:000470675700130The 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 rote, where both approaches shape the available Business Satisfaction (BS) Agent functional data-information suitability and PS context strategic-to-operational completeness interoperability, in an accumulative e-M Environment (e-ME) knowledge ability, to shape a intentional logical satisfaction perspective knowledge. While the framework semantic; convoys that, "e-M implementation methodology is; the satisfaction projection and projection inferences of, BS-agent 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 BS Agent 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.en-USUniversity for multidimensional interdisciplinary and cross-disciplinary data-information-knowledge inferenceBusiness satisfaction experience implementation knowledge management mechanismsocial agent e-marketing evaluation terminologyBook chapter