A Model Proposal for Big Data Analytics in the Retail Sector of Bangladesh (original) (raw)
Related papers
Impact of big data on the retail industry
Corporate Ownership and Control, 2016
With the recent emergence of Big Data with its Volume, Variety and Velocity (3V’s), data analysis has emerged as a crucial area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be resolved in business organizations, including the retail industry. This study has methodically identified and analysed four factors, namely, data source, data analysis tools, financial and economic outcomes and data security and data privacy, to gauge their influence on the impact of Big Data in the retail industry. This research analyses the impact of big data analysis on retail firms that use data and business analytics to make decisions, termed a data-driven decision-making (DDD) approach. The new finding is arrived that financial and economic outcome showed a strong support and have direct relationship with data analysis tools of retail industry. Data for the study were collected using a survey of various business practices and investments...
Big Data Analytics Adoption: An Empirical Study in Malaysia Warehousing Sector
International Journal of Logistics Systems and Management, 2021
This paper aims to identify the factors affecting big data analytics (BDA) adoption in the Malaysian warehousing sector. The technology-organisation-environment (TOE) model serves as the underpinning framework. The survey data from 110 logistics firms were collected and analysed using PLS-SEM. The empirical results revealed that relative advantage, technological infrastructure, absorptive capability and government support influence the levels of BDA adoption, whilst industry competition appeared to be of no significant influence. This study is expected to facilitate warehousing firms in implementing the most appropriate strategies in adopting BDA. Warehousing firms that place great emphasis on operational superiority, ICT infrastructures, and technology assimilation, are more likely to adopt BDA. Considering that there is a paucity of evidence regarding the determinants of BDA adoption among Malaysian warehousing firms, this study enriches TOE-based literature on BDA. Furthermore, the findings potentially assist logistics practitioners in developing a holistic blueprint in managing their large data sets.
Maximizing Retail Potential: The Role of Big Data Analytics Authors
2025
The retail industry has been transformed by technological advancements and evolving consumer behavior. This paper examines the benefits, challenges, and strategic implications of Big Data Analytics (BDA) in the retail sector through a comprehensive review of recent literature. The findings highlight three key opportunities for leveraging BDA in retail: enhancing customer relationships, improving operational efficiency, and gaining strategic advantages. However, several challenges persist, including privacy and security concerns, inadequate data-driven support systems, complexities in data visualization and processing, and insufficient governmental support. In addition to exploring the potential advantages and limitations, this study emphasizes the strategic role of BDA in facilitating data-driven decision-making for retailers. By balancing these opportunities and challenges, retail firms can harness Big Data as a critical source of competitive advantage. Finally, the paper identifies future research directions to further advance the application of Big Data in the retail sector, aiming to address existing gaps and unlock its full potential.
European Management Journal, 2021
This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Critical success factors for Big Data adoption in the virtual retail: Magazine Luiza case study
Purpose – The objective of this research was to identify critical success factors for the adoption of Big Data in the virtual retail, through a case study of Magazine Luiza. The use of Big Data, in this case, focused on improving its system of recommendations for a better understanding of consumer behavior. Design/methodology/approach – The case study was done through interviews, observation of the shopping recommendation system and analyzes of institutional presentations of the Bob project. A semistructured interview script was used in the interviews. Findings – Based on the results, we outline some propositions related to the opportunities and obstacles for the implementation of Big Data in the virtual retail in Brazil. Some of these propositions are in line with what literature, especially BI, has been discussing. However, they still need to be discussed in the context of Big Data. Originality/value – The main contribution of the research was the identification of relevant factors to the adoption of Big Data that were not considered as critical for the adoption of previous technologies.
STUDY OF FACTORS AFFECTING CUSTOMER BEHAVIOUR USING BIG DATA TECHNOLOGY
Big data technology is getting momentum recently. There are several articles, books, blogs and discussion points to various facets of big data technology. The study in this paper focuses on big data as concept, and insights into 3 Vs such as Volume, Velocity and Variety and demonstrates their significance with respect to factors that can be processed using big data for studying customer behaviour for online users.
Critical Factors Affecting the Intention to Adopt Big Data Analytics in Apparel Sector, Sri Lanka
International Journal of Advanced Computer Science and Applications
Big data has become a potential research area in apparel industry due to vast amount of data generated in a short period of time. However, the inability to adapt to the challenging and digital environment has pulled out the weaker from the industry while growing the adopters more and more powerful players. As the insights generated out of data becoming core competitive advantages, now it is pertinent to identify which factors would affect the intention to adopt big data analytics in an apparel sector organization. The three contexts of the Technology-Organization-Environment (TOE) framework along with Technology Acceptance Model (TAM) were used as foundational frameworks to explore the influence on the attitude towards using of users which would ultimately affect to the intention of adopting big data analytics. The findings generated from the study denotes that factors considered in both TOE framework and TAM model except organizational context having a positive correlation towards the user's attitude of using which would ultimately lead the organization in enhancing its intention to adopt big data analytics. Finally, the research concludes that the variable, attitude towards using plays a positive mediating role between the direct relationship of critical factors affecting the intention to adopt big data analytics. It is hoped that findings of this research would enrich the existing literature while affecting practitioners to involve in adopting big data analytics by prioritizing investments accordingly.
Utilization of Big Data In E-Commerce Business
Conference Series
In this day and age with the internet brings revolution to the way all fields work, especially in the field of business. With the internet technology data became big and known as "Big Data". The development of big data has increased significantly so that it can be utilized in various fields, especially in business areas that have been implemented with internet technology. This electronic buying and selling media have a wide range such as from small to large stores that can utilize media or with a site. This makes users always need this technology, so an E-commerce can also be said to be the largest data-producing media. This study addresses the problem of the extent to which big data generated from E-commerce can affect business and provide benefits for business organizations such as expanding the scope of transactions, supporting decision-making, and others. The research method used in compiling this research is to collect data and information and then conduct processing ...