Or-Based Intelligent Decision Support System for E-Commerce

Abstract

Aim: This paper aims to analyze, prepare, and review the general guidelines and rules that govern the development of key factors influencing the enhancement of emotionally supportive networks and selection models using fuzzy logic theory. The researchers have identified eight important components of the information society (IS), representing the computerized economy’s growth to explain a realistic framework for medium-term gauges and proposals. Materials and methods: A discrete-nonstop opportunity paradigm portrays the creation of the general framework, in which the mutual effects of each of the components are spoken to models within the state-space. The software’s mechanical quality offers improvement displayed along these lines that may indicate future interest to programing suppliers. The researchers have given supposed to the developments and interests of information technology (IT) professionals in R&D to provide insightful foundations. For example, this study will demonstrate the development of emotionally supportive networks and recommendations of choices for 3D-web-based businesses and their impact on mechanical advancement, examples of use and social behavior. Results: During an IS/IT foreknowledge undertaking completed in Poland in 2019 and sponsored by the Education Research and Development Foundation ERDF, the results were obtained.

Development of a Partial Shipping Fees Pricing Model to Influence Consumers’ Purchase Intention under the COVID-19 Pandemic

“…This model echoes the research gaps and future recommendations identified by Mangiaracina et al [31], expecting significant benefits from intelligently dynamic pricing implementation to e-commerce platform providers and customers. This model also echoes the point made by Zong et al [33], that a decision support system should be available to provide customers with easy-to-understand information to assist consumers in problem-solving and decision-making.…”

“…While previous studies [7,8,11] focused on the free shipping threshold, this study proposes an innovative model in which consumers pay partial shipping fees before the free shipping threshold is reached. The theoretical extension and empirical results respond to the call of Mangiaracina et al [31] that the implementation of an intelligently dynamic pricing model provides significant benefits to both e-commerce platforms and customers and to the call of Zong et al [33] that e-commerce platforms should provide an easy-to-understand decision support system to assist consumers in problem-solving and decision making.…”

“…Silverman et al [32] noted that e-commerce platforms often fail to support buyers' decisions and searches, resulting in lost sales and customer return purchases, and the authors suggest that any given platform requires significant investment and effort to create the decision support systems needed to support buyers' decisions correctly, and provide a framework to guide such efforts. Zong et al [33] suggested that a decision support system is a computerized system used to help a company or organization make decisions, judgments, and action plans, especially in e-commerce, to search and analyze large amounts of data, provide customers with easy-to-understand knowledge, and provide an intelligent system to assist the platform company and consumers in problem-solving and decision making. The study identified eight key components that provide a framework for realizing the effectiveness of e-business intelligence systems.…”

RETRACTED ARTICLE: Optimized intelligent data management framework for a cyber-physical system for computational applications

“…Advances in many industries have shown that the dependability of sensors, surveillance on conditions, intrusion detection and forecasting, proactive measures (foresight), and informed decision-making would play an essential part in industrial automation [14]. In addition, the combination of uncontrolled and monitored learning, clustered and metaheuristic approaches, and new self-functionalities can provide a new set of tools and know-how to help it grasp these complicated evolving production processes [15].…”

Methodical Aspects of MCDM Based E-Commerce Recommender System

“…Fuzzy set theory is becoming an increasingly popular approach in problems requiring data representation and user interaction, and information extraction from the user. An example is the Operations Research-based Intelligent Decision Support System (OR-IDSS) [24]. Systems based on fuzzy rules are soft computing techniques introduced based on a fuzzy set theory proposed by Zadeh [25].…”