Abstract Currently, E-commerce is widely adopted as it is important for business management and economic growth in the new global economy, and to reach the rapid increasing population. To better manage the e-commerce, it is important to collect and evaluate the Consumer Behaviour data for decision making and optimization. The conventional computing technologies need high amount of power and time for large data analysis. Quantum computing has the potential to analyze the large amount of data more efficiently than classical computing. This paper aims to explore the core process areas that need to be consider by the practitioners for adopting quantum computing in social business. To address the objective of this study, we conducted a literature review and empirical study to explore the core process areas that need to be considered for the consideration of quantum computing in social business. The results show that limited scalability, regulatory challenges, high initial cost, limited availability of quantum resources, education and training and security are the most important process areas that need to be focused by the industry practitioners. The result of this study gives a knowledge base for research and practitioners community to develop the tools and strategies for the adoption of quantum computing in social business.
Abstract Currently, E-commerce is widely adopted as it is important for business management and economic growth in the new global economy, and to reach the rapid increasing population. To better manage the e-commerce, it is important to collect and evaluate the Consumer Behaviour data for decision making and optimization. The conventional computing technologies need high amount of power and time for large data analysis. Quantum computing has the potential to analyze the large amount of data more efficiently than classical computing. This paper aims to explore the core process areas that need to be consider by the practitioners for adopting quantum computing in social business. To address the objective of this study, we conducted a literature review and empirical study to explore the core process areas that need to be considered for the consideration of quantum computing in social business. The results show that limited scalability, regulatory challenges, high initial cost, limited availability of quantum resources, education and training and security are the most important process areas that need to be focused by the industry practitioners. The result of this study gives a knowledge base for research and practitioners community to develop the tools and strategies for the adoption of quantum computing in social business.
INTRODUCTION: Quantum computing technology has become a center of attention in various scientific disciplines, including economic analysis. The adoption of quantum computing in economic analysis offers tremendous potential to improve the processing of complex economic data and provide deep insights. However, the use of quantum technology in the context of distributed information systems also raises several challenges, including data security and the limitations of quantum technology. OBJECTIVE: This research aims to investigate the implications of adopting quantum computing in economic analysis, with a focus on distributed information systems. METHODS: This research was carried out using a descriptive qualitative approach, with data derived from the results of relevant research and previous studies. The collected data will be processed and analyzed to gain a deeper understanding of the adoption of quantum computing in economic analysis in distributed information systems. RESULTS: This research then finds that the adoption of quantum computing in economic analysis has the potential to increase efficiency, accuracy, and depth of economic insight. However, limitations of current quantum technologies, including quantum errors, limited scale of operations, and data security issues, limit their applications. In the long term, research and development will be key to overcoming these obstacles and maximizing the potential of this technology in economic analysis. CONCLUSION: The long-term implications include increased economic competitiveness and significant changes in the way economic decision-making is carried out, assuming that ethical and regulatory issues are also carefully considered.
Bits are used in conventional computers; quantum bits, or qubits, are used in quantum computers. The speed and efficiency of quantum computing can give businesses a significant advantage over their competitors and help them make better decisions. Large server rooms may not be necessary as quantum computers are excellent at processing massive volumes of data without requiring a lot of storage space. This could free up physical space in buildings. Conventional computers are still more cost-effective and faster for simple computations, even though quantum computers are revolutionising fields like optimisation and machine learning. Both political parties have made large investments in quantum research to improve supply chain management, logistics, and security, among other areas. This could have a big impact on politics and the economy. When seamlessly integrated, quantum computing offers businesses enormous potential for data processing, sophisticated cybersecurity, and effective storage, resulting in the next phase of computing for industries
Quantum computing has evolved from a largely theoretical discipline into a field of growing interest for commercial and industrial applications. Recent advances in quantum hardware, algorithms, and cloud-based access have enabled early experimentation outside academic environments, raising questions about its potential impact on real-world decision-making and operational problems. This paper provides an overview of the current state of quantum computing with a focus on its emerging relevance in commercial contexts. It examines the categories of problems that have attracted attention from industry, particularly those involving high combinatorial complexity such as optimization, scheduling, logistics, and resource allocation. The analysis also reviews the global landscape of companies and initiatives engaged in quantum computing, highlighting different technological approaches, maturity levels, and regional characteristics. In parallel, the paper discusses the principal challenges and limitations that constrain widespread adoption, including hardware immaturity, algorithmic readiness, cost factors, and organizational requirements. By considering both opportunities and risks, this study aims to present a balanced and realistic perspective on the role quantum computing may play in business environments. The objective is to clarify the current position of quantum computing within the broader technological landscape and to support informed interpretation of its potential, limitations, and future trajectory in commercial applications.
While artificial intelligence has been attracting increasing investment and controversy, a new, and potentially much more powerful technology, Quantum Computing, is on the business horizon. Already, organizations are assessing its potential for addressing a range of computationally challenging issues, such as last-mile optimization and cryptanalysis to break encryption algorithms, and are exploring possible applications in a range of business areas. While the advent of Quantum Computing may bring an array of opportunities and benefits, the companies developing and applying Quantum Computing technologies will face, and have to address, new sets of corporate social, ethical, economic, technical and environmental responsibilities. Using a qualitative research method based on secondary sources, this article examines the implications for Quantum Computing for corporate digital responsibility, and assesses the guidance currently being offered by leading consultancies for organisations deploying Quantum Computing. The results suggest that although there is some guidance on how companies can apply and exploit Quantum Computing technology, there is as yet little consideration of the possible downsides, including, for example, potential negative environmental impacts. Further research is needed to develop a more balanced assessment of benefits and disbenefits as Quantum Computing is deployed in the corporate world and wider global society.
This article explores the transformative potential of quantum computing in the field of business analytics. It begins with an introduction to quantum computing, explaining its fundamental principles and recent advancements. The study highlights the limitations of current business analytics methods and demonstrates how quantum computing could address these limitations by offering enhanced data processing capabilities, advanced algorithms, and solutions to complex optimization problems. A comprehensive literature review is conducted to provide context and identify gaps in the existing research. The article then outlines a research design that incorporates both real-world and simulated data, using online datasets and quantum computing frameworks for analysis. The findings reveal significant opportunities for quantum computing to revolutionize business analytics, including improved efficiency, accuracy, and the ability tosolve previously intractable problems. However, the article also addresses key challenges such as technical limitations, cost, accessibility, and integration issues. The discussion highlights emerging trends and provides strategic recommendations for businesses considering the adoption of quantum computing. The article concludes with a summary of the implications of integrating quantum computing into business analytics and reflects onfuture potential and challenges.
This article investigates the impact of quantum computing (QC) as an emerging technology with the potential to benefit businesses and their technological infrastructure. The main objective is to describe the challenges organizations face when adopting it, as well as the opportunities it offers in increasingly competitive and strategically complex markets driven by exponential growth. The study also identified that, while quantum computing promises to revolutionize areas such as resource optimization, productivity efficiency, and the simulation of future scenarios—enabling better-informed decision-making and risk mitigation—its implementation encounters significant obstacles: high costs, the need for specialized talent, and new security risks. To address these barriers, hybrid models combining cloud and local infrastructure, as well as microservices, have emerged as practical alternatives, enabling organizations to access this technology without requiring substantial initial investment. Ultimately, this research contributes to the academic discussion that quantum computing is not a replacement but rather a complement that can be integrated gradually and carefully. The path forward requires efforts in education and policy to ensure accessible and ethical development, preventing it from becoming a tool reserved for only a few.