Cloud-based E-commerce Research Articles

Hybridized Multi-Special Decision Finding with Anti-Theft Probabilistic Method in the Improvement of Cloud-Based E-Commerce

Hybridized Multi-Special Decision Finding with Anti-Theft Probabilistic Method in the Improvement of Cloud-Based E-Commerce

Equality Test Public Key Encryption With Cryptographic Reverse Firewalls for Cloud-Based E-Commerce

Equality Test Public Key Encryption With Cryptographic Reverse Firewalls for Cloud-Based E-Commerce

Designing Secure and Robust E-Commerce Plaform for Public Cloud


 
 
 
 The migration of e-commerce platforms to the public cloud has become a pivotal strategy for businesses seeking enhanced scalability, performance, and cost-efficiency. This paper explores the multifaceted design considerations critical to deploying robust e-commerce systems within the public cloud infrastructure. It delves into scalability, ensuring that platforms can handle varying loads with elasticity and grace. Security is examined as a paramount concern, addressing the need for stringent data protection, compliance with industry standards, and the implementation of best practices such as encryption and identity access management. Performance optimization is discussed, with a focus on leveraging content delivery networks and optimizing database operations to ensure swift customer experiences. The paper also covers reliability and availability, emphasizing the necessity of multi-regional deployment and sophisticated disaster recovery plans to guarantee uninterrupted service. Cost management is analyzed, highlighting the importance of understanding cloud pricing models and employing cost-effective resource utilization strategies. Data management is scrutinized, considering secure storage, privacy, and efficient data handling. User experience is identified as a critical component, with personalization and session management being key to customer satisfaction. The role of DevOps and automation in achieving efficient deployment cycles through continuous integration and delivery is outlined. The benefits of a microservices architecture are presented, along with the challenges of managing such distributed systems. Multi-tenancy and isolation are discussed in the context of security and resource optimization. Integration and APIs are explored for their role in facilitating extensibility and seamless third-party service incorporation. Compliance and legal considerations are addressed, underscoring the importance of data sovereignty and regular audits. Lastly, the paper touches on the incorporation of emerging technologies such as AI, ML, and IoT to stay at the forefront of innovation, and concludes with a discussion on environmental considerations for sustainable cloud practices. This comprehensive analysis provides a roadmap for businesses to navigate the complexities of cloud-based e-commerce, ensuring robust, secure, and efficient online retail operations.
 
 
 

CLOUD BASED E-COMMERCE PLATFORM

The emergence of cloud-based technologies has revolutionized the e-commerce sector, facilitating innovative features for enhanced user experiences. This study addresses the need for a more sophisticated e-commerce platform by incorporating store selection and price comparison features within a cloud-based framework. Current e-commerce platforms lack seamless integration of store choices and comprehensive price comparisons, leading to suboptimal consumer decision-making. This research aims to bridge this gap and create a more informed shopping experience for users.The existing e-commerce landscape falls short in providing users with a unified platform that seamlessly integrates store selection and price comparison features. Shoppers are often required to navigate through multiple websites and apps to assess store options and compare prices, leading to inefficiencies and confusion.The proposed cloud based e-commerce platform leverages a combination of web scraping and API integrations to collect data from various online stores. This data includes product prices, availability, and store details. A user-friendly interface is developed to present users with a unified view of store options and price comparisons. The platform's backend operates on cloud infrastructure, ensuring scalability and responsiveness.The implemented cloud-based e-commerce platform successfully integrates store selection and price comparison features. Key findings reveal that users can efficiently explore different stores, leading to more informed purchase decisions. Price variations across stores are presented clearly, aiding users in making cost-effective choices. The discussion highlights how the platform's cloud architecture contributes to its scalability and adaptability, accommodating future expansions and enhancements.Incorporating store selection and price comparison features within a cloud-based e-commerce platform addresses the limitations of existing solutions. The platform empowers users with the ability to make well informed purchasing decisions and enhances their shopping experience. By leveraging cloud infrastructure, the platform is positioned for future growth and improvements, ensuring continued relevance in the dynamic e-commerce landscape. Keywords:Cloud-based e-commerce, store selection, price comparison, user experience,API integration.

E-commerce Web App in Azure Cloud: Considerations, Components of Implementation and Schematic Design

Consumers shifted their spending to the web due to the coronavirus (Covid-19) outbreak. Businesses and organizations that once mapped digital strategy with careful planning over a transition period, now forced to scale their initiatives in a matter of days. In this regard, we are motivated by the need to develop a scalable, highly available, resilient, secure, and cost-effective e-commerce web application for demonstrating how cloud services can be leveraged for implementing such applications. 
 
 This paper is a part of the aforementioned web application development project, titled “A cloud-based e-commerce storefront prototype for SMEs in Oman”. In this paper, we discuss the system considerations, components of implementation, and the schematic design of the proposed software solution.
 
 This paper provides meaningful guidelines for companies that want to adopt cloud-based E-commerce web application to bring their products and services online without much upfront cost or initial investment.

A new method for human resource allocation in cloud-based e-commerce using a meta-heuristic algorithm

PurposeThe human resource (HR) allocation problem is one of the critical dimensions of the project management process. Due to this nature of the problem, researchers are continually optimizing one or more critical scheduling and allocation challenges in different ways. This study aims to optimize two goals, increasing customer satisfaction and reducing costs using the imperialist competitive algorithm.Design/methodology/approachCloud-based e-commerce applications are preferred to conventional systems because they can save money in many areas, including resource use, running expenses, capital costs, maintenance and operation costs. In web applications, its core functionality of performance enhancement and automated device recovery is important. HR knowledge, expertise and competencies are becoming increasingly valuable carriers for organizational competitive advantage. As a result, HR management is becoming more relevant, as it seeks to channel all of the workers’ energy into meeting the organizational strategic objectives. The allocation of resources to maximize benefit or minimize cost is known as the resource allocation problem. Since discovering solutions in polynomial time is complicated, HR allocation in cloud-based e-commerce is an Nondeterministic Polynomial time (NP)-hard problem. In this paper, to promote the respective strengths and minimize the weaknesses, the imperialist competitive algorithm is suggested to solve these issues. The imperialist competitive algorithm is tested by comparing it to the literature’s novel algorithms using a simulation.FindingsEmpirical outcomes have illustrated that the suggested hybrid method achieves higher performance in discovering the appropriate HR allocation than some modern techniques.Practical implicationsThe paper presents a useful method for improving HR allocation methods. The MATLAB-based simulation results have indicated that costs and waiting time have been improved compared to other algorithms, which cause the high application of this method in practical projects.Originality/valueThe main novelty of this paper is using an imperialist competitive algorithm for finding the best solution to the HR allocation problem in cloud-based e-commerce.

Agent-based automated dynamic SLA negotiation framework in the cloud using the stochastic optimization approach

Optimization of the broker negotiation strategy is one of the challenging issues observed in the cloud-based e-commerce negotiation framework. This strategy can be optimized either in the context of pre-request optimization or long-term optimization. Most researchers have focused on the context of pre-request optimization using various utility functions (such as time, opportunity, and competition). In the context of long-term optimization, the current state-of-the-art negotiation strategies can increase the utility value and success rate of the parties to some extent, but they do not guarantee minimization of the negotiation states (rounds) involved during the negotiation process. In addition, the existing strategies cannot react to the stochastic, rational, emotional, and unknown behaviour of the opponents due to their deterministic behaviour, which may lead to a negotiation break-off between parties. To overcome such limitations, a novel stochastic behavioural learning negotiation (SBLN) strategy is proposed to further maximize the utility value and success rate.

The economic benefits of cloud-based E-commerce in Indian service small to medium businesses (SMBs)

This research paper investigated the economic benefits of Cloud-based E-commerce in Indian service small to medium businesses (SMBs). The emergence of the new concept of Cloud computing has greatly changed the way in which organisations are managing their services. Cloud computing primarily includes the process of providing computing resources as a service rather than a product in an organisation. They provide different opportunities to the society which include reduction of poverty, development of rural areas, and generation of job opportunities, entrepreneurship, and export of nation and so on. Hence, it is necessary to adopt new technologies so as to enhance their business performance, improve competitiveness and reduce cost. However, service SMBs are facing several issues in India which are ultimately due to lack of sufficient resources. For this purpose, an online survey was conducted to evaluate the level of economic benefit is obtained by Indian service SMBs. Keywords: Cloud computing, cloud-based E-commerce, Indian service small to medium businesses (SMBs), economic benefits.

Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method

Cloud computing is truly transforming the way e-commerce firms do business. While there has been a sharp increase in the use of cloud computing in e-commerce, the benefits of cloud service models have yet to be explored, particularly for small-to-medium-sized businesses. A strong e-commerce offering depends on a reliable and secure online store, therefore it is important for decision makers to adopt the optimal cloud computing service model such as software-as-a-service (SaaS), platform-as-a-service (PaaS), or infrastructure-as-a-service (IaaS), which is a multi-criteria decision-making problem (MCDM). To address this MCDM problem, we propose a novel 2-tuple fuzzy linguistic multi-criteria group decision-making method based on the technique for order preference by similarity to ideal solution (TOPSIS) and rely upon a technology-organization-environment (TOE) framework to determine a set of appropriate criteria. The proposed methodology is applied to a small-to-medium-sized company to facilitate assessing the factors associated with cloud-based e-commerce and making the decision. The result analysis indicates that SaaS is the best choice for small and medium-sized e-commerce businesses considering criteria such as complexity, reliability, security and privacy, organization readiness and firm size, while the selection of PaaS or IaaS can be reinforced considering their compatibility and scalability.

The economic benefits of Cloud-based e-commerce in Indian service SMBs

Abstract
 
 This research paper investigated the economic benefits of Cloud based E-commerce in Indian service Small to Medium Businesses (SMBs). The emergence of the new concept of Cloud computing has greatly changed the way in which organisations are managing their services. Cloud computing primarily includes the process of providing computing resources as a service rather than a product in an organisation. Hence, the adoption of Cloud based E-commerce has been seen to help the aspiring service SMBs to enter into the big leagues of business operations. Indian service SMBs, in general, play an important role in the economic growth of the country. They provide different opportunities to the society which include reduction of poverty, development of rural areas, and generation of job opportunities, entrepreneurship, and export of nation and so on. Hence it is necessary to adopt new technologies so as to enhance their business performance, improve competitiveness and reduce cost. However, service SMBs are facing several issues in India which are ultimately due to lack of sufficient resources. Previous researchers have focused on analysing the importance and issues of SMBs in a competitive society. However, one question which needs to be addressed is whether any specific economic benefits it provided to Indian SMBs. For this purpose, an online survey was conducted to evaluate the level of economic benefit is obtained by Indian service SMBs. Finally, this research paper will help organisations to evaluate economical factor which enhances adoption of Cloud based E-commerce in Indian service SMBs. It is also expected that the findings will help organisations to increase their productivity, efficiency, and innovation.
 Keywords: Cloud computing, Cloud-based E-commerce, Indian service Small to Medium Businesses (SMBs), Economic benefits.

Message from Editor

It is a great honor for us to publish Volume 8, No 2 of Global Journal of Information Technology: Emerging Technologies.
 
 Global Journal of Information Technology: Emerging Technologies focuses on contemporary research addressing Information technology including emerging technologies, strategy, change, infrastructure, human resources, sourcing, system development and implementation, communications, technology developments, technology futures, national policies and standards. The journal also publishes articles that advance our understanding and application of research approaches and methods covering information technology, its evolution and future prospects. It is intended to be a multi-disciplinary international journal aimed at revealing results of research on information technology.
 Articles focusing on Barriers to adopting e-commerce with small to mid-sized enterprises-SMEs in developed countries: an exploratory study in Australia, Building artificial neural networks to predict direction and magnitude of wind, current and wave for sailing vessels, Analysing Bangladeshi Consumers’ Satisfaction and Preferences of E-banking Services in Small to Mid-sized Enterprises (SMEs), The economic benefits of Cloud-based e-commerce in Indian service SMBs have been included in this issue. The topics of the next issue will be different. You can make sure that we will be trying to serve you with our journal with a rich knowledge in which different kinds of topics are discussed in each volume and issue.
 A total number of twelve (19) manuscripts were submitted for this issue and each paper has been subjected to double-blind peer review process bythe reviewers specialized in the related field. At the end of the review process, a total number of four (4) high quality research papers were selected and accepted for publication.
 We present many thanks to all the contributors who helped us to publish this issue. Best regards,Prof. Dr. Dogan Ibrahim Editor – in Chief

Survey of SOA and cloud-based B2B e-commerce and supply chain applications

The IT for building a static and centralised infrastructure and applications does not provide companies flexibility to make rapid changes for the needs of evolving business. The changes in a traditional architecture could be complex, inefficient, and costly. Service-oriented architecture (SOA) provides a flexible and standards-based approach to IT architecture that uses a modular approach to delivering IT services. The ability of SOA to integrate with new services quickly and easily has attracted many companies to adopt SOA today. Cloud computing is now persuasive. It has unique capabilities in enabling efficient and cost effective business processes. A company may consider moving their IT architecture to a cloud computing infrastructure. Since SOA and cloud computing share many common characteristics of service orientation for interoperability, this paper discusses the adoption of SOA for the future preparation of the cloud. This paper further illustrates the utility and capabilities of SOA/cloud strategy by discussing its applicability in the domains of e-commerce and inter-enterprise collaboration. Commercially available solutions are surveyed to show the current status and trends in this arena.