Write a research project about “the significance of AI implementation in future e-commerce service and it’s pros and cons”

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Write a research project about “the significance of AI implementation in future e-commerce service and it’s pros and cons” 1. Explain and discuss answers to assigned problems/lab assignments about computational models/protocols of e-Work, e- Service, CPS/W systems. the assigned questions are: 1.13 Obtain access to an e-Work system. Examples: A search engine; a Computer Aided Design system; MERP (Mobile ERP, by MBE Simulations), or similar. Read the tutorial and explain briefly: (i) What kind of e-Business or e-Service does it represent? (ii) What collaboration functions does it support? (iii) What e-model does it represent? (iv) How does it compare with the four case examples at the end of the chapter? 1.14. Comparison between e-Work systems: Surf and select your “e-Work Pair” — two similar web based systems or companies that are in the same type of business or service; write their URLs. (For example, two different search engines; two different ERP/CRM e-Learning systems; or two organizations selling real-estate, travel, cars, cameras, etc., or two universities, state governments, etc.) After spending the same time (no more than 15 minutes) in each site, compare the two Web sites along five criteria (hint: a comparison table is preferred): 2. 22. For the e-Work lab system you selected in Question 1.13, describe several CCT design principles that you think are followed in its design, or could be followed. 2.23. For the e-Work Pair you selected in Question 1.14, define one e-Criterion and one e-Measure, and apply them to refine your answer to 1.14. Task 2. Design your selected particular project method/system, innovating an e-Work/e-Service/or CPS/W application. Aim to apply at least five computational models and protocols such as [e-work, e-service, e-system, collabrative e-work, 15 e-dimension, Collaboration requirement matrix (CRM), CRP architecture, E-work parallelism optimization module, Task Integration Model (DPIEM), Keep it Simple (KISS) principle, Error & Conflict (violation of specification, expectation, and comparison), EPCR function, CFT principle, AD principle, Best Matching (BM) principle, Emergent Lines of Collaboration and Command (ELOCC) principle, autonomous agent, protocols.]. More details about those words definitions could be found in attached pdf, chapter 1,2 and 4. Five key equal-weight criteria are considered: Criterion A. Technical analytics and informatics quality; Computational quality is a bonus. Criterion B. Quality of explaining the application of your learning of models and protocols; Criterion C. Specific application of models and protocols learned, at least 5 per project; Criterion D. Organization and clarity of your presentation; Criterion E. Your project design creativity. If you can make it your start-up, it is your bonus.

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