Bh Chiloane, S. Akilimalissiga, N. Sukdeo, I. Ohiomah
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引用次数: 0
Abstract
As the world changes with technological innovation, the retail industry strives to keep up with emerging technologies to remain relevant in the market. Most industries are shifting towards a more automated environment framed by loT applications. Hence, the retail industry is not immune to these innovative applications in order to meet consumers' ever-changing needs and preferences. The South African retail industry is expected to upgrade its systems and advance to technologically advanced retail systems, which have already been implemented in various countries globally. With the implementation of loT technologies around the world, South African retailers are expected to follow suit with the new changes and face the challenges that may arise as a result of the implementation. loT technologies through digital transformation have been portrayed worldwide as an advantageous practice and competition-leveraging tool to promote business agility and capabilities, improve business processes, and, ultimately, enhance customer satisfaction. The purpose of this paper is to assess the level of readiness of the South African retail industry when it comes to moving away from a conventional functional system to a system mainly dominated by advanced technology-based practices. This paper will also examine the specifics and challenges of adopting loT applications from the South African retail industry's standpoint. Hence, the analysis of the acquired results revealed that the South African retail's readiness still has ground to cover to execute loT integration, and this state is orchestrated by various factors.
Big DataCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍:
Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.
Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.
Big Data coverage includes:
Big data industry standards,
New technologies being developed specifically for big data,
Data acquisition, cleaning, distribution, and best practices,
Data protection, privacy, and policy,
Business interests from research to product,
The changing role of business intelligence,
Visualization and design principles of big data infrastructures,
Physical interfaces and robotics,
Social networking advantages for Facebook, Twitter, Amazon, Google, etc,
Opportunities around big data and how companies can harness it to their advantage.