E-Commerce and Its Software

Today we are moving into an era of “intangible” business processes, where business communication and transactions can be conducted anywhere, anytime, and with a simple click of a mouse. With the speedy amplification and expansion of technology, information systems have become a normal component of our everyday life. The phenomenal growth of the internet has led to the emergence of a great number of new technologies and one of the most important ones is the ability to conduct business over the internet. E-commerce is currently changing the way business is conducted by assisting business progressions and transactions with very few organizations debating whether or not to participate in it. E-commerce software is the engine behind the scenes of an online store, making it possible to easily manage inventory, add or remove products, calculate taxes, and everything else required to manage a website and fulfill orders.

Search Optimization to Select an Item Across E-Commerce Platforms

E-commerce is a transaction of buying or selling online. These sites have made life simpler by delivering products to your doorstep. The entire idea of e-commerce is to save the user's time while purchasing goods. This massive expansion of e-commerce gave rise to many applications for the user to choose to buy from. Therefore, people now spend more time comparing the prices of products on various applications before purchasing. This price comparison turned out to be a tedious task for users. With many applications available in the market, it is difficult for the user to navigate between apps to compare specifications like cost, life time, on-time delivery, customer satisfaction, etc. of products or items. So, this chapter explores the “Quick Compare” search, a solution for this hassle that provides instantaneous recommendations based on the end user's input. An android application is developed for this problem and it focuses on efficiency and interoperability.

E-Commerce Business Model

This chapter provides an overview of the e-commerce business model, the history of e-commerce, the scope of e-commerce, the difference between e-commerce and traditional commerce, issues related to e-commerce, electronic data interchange, value chain, and supply chain, and the pros and cons and limitations of e-commerce.

Electronic Commerce and Decision Support Systems

Electronic Commerce (e-commerce) is an advanced online business tool that allows many companies to launch their websites and helps customers search their specific products shown on the websites. Decision Support Systems (DSSs) are computerized tools designed to facilitate strategic decision making. With the support of data mining and business intelligence methods, DSSs can effectively increase the performance of decision making and can present a sophisticated method of managerial thinking in a timely and effective manner toward gaining competitive advantage. The chapter argues that utilizing e-commerce and DSSs has the potential to enhance business performance and reach strategic goals in modern business.

Secure Payment Modes Technology for E-Commerce Applications

E-commerce refers to business and customers buying and selling products online. There are significant improvements in the areas of initiating sale of products, placing orders, making payments, and transfer of funds. This has led to a much better global economy and better living standards for all. While buying products online, it is essential to know the payment method that ensures authentication and also many other security issues. There are many payments modes available in market today. This chapter presents different protocols and its security issues that relate to a specific payment mode.

Security Issues in E-Commerce

E-commerce is selling and buying products in online shopping through the internet. When purchasing the products using internet, many security issues arise. These issues are to be addressed effectively and to be resolved. The security issue is an essential part of any transaction that takes place over the internet. Security becomes paramount not only for retailers but for any business that operates via the internet as the popularity of online shopping grows. This chapter focuses security protocols and their achievements in providing effective communication between end-users and business people.

Secure Framework for E-Commerce Applications in Cloud Environment

There has been a massive increase in the use of the internet for shopping and payment. The ease and availability of the internet has accelerated the growth of online applications. E-commerce applications handle many sensitive pieces of data like financial or personal data, which are used for critical tasks like banking, socializing, shopping, and tax filling. Online financial service and shopping sites are an attractive target for fraudsters because money transactions are done through these sites. Credit card fraud, identity theft, and account hijack are key concerns for these organizations. These frauds cause financial loss and hurt the reputation of e-commerce sites. The use of the cloud platform has made these sites more productive, but at the same time, it has opened them to a variety of threats. This chapter describes a framework for credit card and identity fraud detection using big data analytics and machine learning techniques to make e-commerce sites more secure and efficient.

Botnet Threats to E-Commerce Web Applications and Their Detection

Security issues in e-commerce web applications are still exploratory, and in spite of an increase in e-commerce application research and development, lots of security challenges remain unanswered. Botnets are the most malicious threats to web applications, especially the e-commerce applications. Botnet is a network of BOTs. It executes automated scripts to launch different types of attack on web applications. Botnets are typically controlled by one or more hackers known as Bot masters and are exploited for different types of attacks including Dos (denial of service), DDos (distributed denial of service), phishing, spreading of malware, adware, Spyware, identity fraud, and logic bombs. The aim of this chapter is to scrutinize to what degree botnets can cause a threat to e-commerce security. In the first section, an adequate overview of botnets in the context of e-commerce security is presented in order to provide the reader with an understanding of the background for the remaining sections.

Identification of User Preference for Multi-Criteria Reporting in Business Intelligence

Business intelligence (BI) is an integrated set of tools used to support the transformation of data into information in order to support decision making. Among different functionalities, reporting plays a significant role that provides information to its readers to make better decisions. BI lacks user-specific reporting to the different levels of users of an organization. Different users require different kinds of reporting with respect to different requirement (criteria) in an organization. A multi-criteria reporting (MCR) finds the suitable information to suitable user based on the multiple conflicting preferences of a user. Technique for order preference by similarity to ideal solution (TOPSIS) is the most popularly applied multi-criteria decision-making (MCDM) technique selected to identify different levels of user preference for MCR. Banking business is considered as a case study to identify user preference for MCR. This research also designs evaluation metrics for TOPSIS.

A Framework to Improve Performance of E-Commerce Websites

The growth of the world wide web has made business functions fast and easier. E-commerce has provided cost effective ways of doing business. E-commerce websites have the advantage of reaching a large number of customers regardless of distance and time limitations. The advantage of e-commerce over traditional businesses is faster speed and lower expenses for both businessmen and customers. The main objective of the chapter is to provide an efficient framework to analyse the performance of e-commerce websites and suggest the factors that need to be incorporated in e-commerce websites for better business intelligence. The purpose of business intelligence is to support better business decision making. In this chapter, a detailed description of business intelligence enables the web developer and end user to know the insights of e-commerce web applications. The methodology is comprehensive and it elaborates all aspects of the performance of a website.