The 4s web-marketing mix model

This paper reviews the criticism on the 4Ps Marketing Mix framework, the most popular tool of traditional marketing management, and categorizes the main objections of using the model as the foundation of physical marketing. It argues that applying the traditional approach, based on the 4Ps paradigm, is also a poor choice in the case of virtual marketing and identifies two main limitations of the framework in online environments: the drastically diminished role of the Ps and the lack of any strategic elements in the model. Next to identifying the critical factors of the Web marketing, the paper argues that the basis for successful E-Commerce is the full integration of the virtual activities into the company’s physical strategy, marketing plan and organisational processes. The four S elements of the Web-Marketing Mix framework present a sound and functional conceptual basis for designing, developing and commercialising Business-to-Consumer online projects. The model was originally developed for educational purposes and has been tested and refined by means of field projects; two of them are presented as case studies in the paper.\ud \u

ICT based Learning Environment

The paper discusses the new approach of imparting education through Information and Communication Technology. The author also briefly deals with various aspects of e-education, especially in higher education. It also discusses the tools of e-education and perspectives of different components of e-education system

Associated Students Annual Report 2015-2016

Creating Change, Broadening Perspectiveshttps://scholarworks.sjsu.edu/associatedstudents/1008/thumbnail.jp

Multi-Purpose NLP Chatbot : Design, Methodology & Conclusion

With a major focus on its history, difficulties, and promise, this research paper provides a thorough analysis of the chatbot technology environment as it exists today. It provides a very flexible chatbot system that makes use of reinforcement learning strategies to improve user interactions and conversational experiences. Additionally, this system makes use of sentiment analysis and natural language processing to determine user moods. The chatbot is a valuable tool across many fields thanks to its amazing characteristics, which include voice-to-voice conversation, multilingual support [12], advising skills, offline functioning, and quick help features. The complexity of chatbot technology development is also explored in this study, along with the causes that have propelled these developments and their far-reaching effects on a range of sectors. According to the study, three crucial elements are crucial: 1) Even without explicit profile information, the chatbot system is built to adeptly understand unique consumer preferences and fluctuating satisfaction levels. With the use of this capacity, user interactions are made to meet their wants and preferences. 2) Using a complex method that interlaces Multiview voice chat information, the chatbot may precisely simulate users' actual experiences. This aids in developing more genuine and interesting discussions. 3) The study presents an original method for improving the black-box deep learning models' capacity for prediction. This improvement is made possible by introducing dynamic satisfaction measurements that are theory-driven, which leads to more precise forecasts of consumer reaction.Comment: Multilingual , Voice Conversion , Emotion Recognition , Offline Service , Financial Advisor , Product Preference , Customer Reaction Predictio

EDUCATING, EVALUATING, ADVISING, AND ENTERTAINING - DIGITAL INFLUENCERS AND THEIR NARRATIVES

Organizations have been increasingly exploring storytelling as a valuable strategy to engage customers to increase their attention and retention. Social media platforms like Instagram have become essential tools for many brands to use storytelling through influencers. In this study, we explore the narratives constructed by digital influencers, as they play a crucial role in shaping their brand image and engagement with their audience. By analysing the narrative strategies used by digital influencers, we contribute to a deeper understanding of the role and impact of digital storytelling. We identify, illustrate, and discuss four narrative strategies: educating, evaluating, advising, and entertaining. Our study motivates further research to develop a detailed conceptual understanding of digital influencers and digital storytelling

EU–originated MOOCs, with focus on multi- and single-institution platforms

No abstract available