IDEAS home Printed from https://ideas.repec.org/a/ahd/journl/v3y2022i6p62-72.html
   My bibliography  Save this article

How Big Data Analytics Impacts the Retail Management on the European and American Markets?

Author

Listed:
  • Mesbaul Haque SAZU

    (Case Western Reserve University, Cleveland, USA)

  • Sakila Akter JAHAN

    (Independent University, Bangladesh, Dhaka, Bangladesh)

Abstract

Many studies on big data analytics focused on specialized use cases in business environments. Studies have been performed on the use of big data analytics in order to learn about consumer associations and expertise, among others. Nevertheless, there is an absence of investigation within the retail industry contemplating the big data management, looking at the adverse effect on organizational performance and customer satisfaction. Merchants investigate analytics to obtain a unified picture of their operations and customers throughout online channels or stores and make strategic choices towards the management of retail. Thereof, this analysis was carried out by focusing heavily on the European and American retail sector to demonstrate the impact of big data analytics. A quantitative study technique was used to analyze 450 individuals in the European and American retail sector. The outcomes on the analysis mentioned that among the various big data analytics used inside the European and American retail sector, the individuals majorly emphasized social networking analytics. Future scientists can do research on the forthcoming retail fashion on the European and American markets, and the way the consequences of big data evaluation evolved within the previous couple of years and contend with the unpredicted long-term recessions within the European and American retail sector.

Suggested Citation

  • Mesbaul Haque SAZU & Sakila Akter JAHAN, 2022. "How Big Data Analytics Impacts the Retail Management on the European and American Markets?," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(6), pages 62-72, June.
    • Handle: RePEc:ahd:journl:v:3:y:2022:i:6:p:62-72
    DOI: 10.37945/cbr.2022.06.07
    as

    Download full text from publisher

    File URL: https://www.ceccarbusinessreview.ro/how-big-data-analytics-impacts-the-retail-management-on-the-european-and-american-markets-a231d/download-PDF/
    Download Restriction: no
    File URL: https://www.ceccarbusinessreview.ro/how-big-data-analytics-impacts-the-retail-management-on-the-european-and-american-markets-a231a/abstract/
    Download Restriction: no
    File URL: https://libkey.io/10.37945/cbr.2022.06.07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    2. Ying, Song & Sindakis, Stavros & Aggarwal, Sakshi & Chen, Charles & Su, Jiafu, 2021. "Managing big data in the retail industry of Singapore: Examining the impact on customer satisfaction and organizational performance," European Management Journal, Elsevier, vol. 39(3), pages 390-400.
    3. Aversa, Joseph & Hernandez, Tony & Doherty, Sean, 2021. "Incorporating big data within retail organizations: A case study approach," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    4. Chiang, Lan-Lung (Luke) & Yang, Chin-Sheng, 2018. "Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 177-187.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tanzeela AQIF & Abdul WAHAB, 2022. "Reshaping The Future Of Retail Marketing Through Big Data: A Review From 2009 To 2022," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(3), pages 5-24, September.
    2. Youssef, Mayada Abd El-Aziz & Eid, Riyad & Agag, Gomaa, 2022. "Cross-national differences in big data analytics adoption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    3. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    4. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    5. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    6. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    7. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    8. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Pan Liu & Shu-ping Yi, 2018. "Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era," Annals of Operations Research, Springer, vol. 270(1), pages 255-271, November.
    10. Hu, Jianhao & Zhang, Xuan & Chen, Hanyu(Yuki) & Li, Wanyue, 2024. "When it rains, it pours? The impact of weather on customer returns in the brick-and-mortar retail store," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    11. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    12. Norzalita Abd Aziz & Fei Long & Wan Mohd Hirwani Wan Hussain, 2023. "Examining the Effects of Big Data Analytics Capabilities on Firm Performance in the Malaysian Banking Sector," IJFS, MDPI, vol. 11(1), pages 1-13, January.
    13. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
    14. Chen, Kuan-Yang & Huan, Tzung-Cheng, 2022. "Explore how SME family businesses of travel service industry use market knowledge for product innovation," Journal of Business Research, Elsevier, vol. 151(C), pages 519-530.
    15. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    16. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    17. Abdalwali Lutfi & Akif Lutfi Al-Khasawneh & Mohammed Amin Almaiah & Ahmad Farhan Alshira’h & Malek Hamed Alshirah & Adi Alsyouf & Mahmaod Alrawad & Ahmad Al-Khasawneh & Mohamed Saad & Rommel Al Ali, 2022. "Antecedents of Big Data Analytic Adoption and Impacts on Performance: Contingent Effect," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    18. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    19. Sun Jinling & Zhu Peiyu & Jin Shumo & Wang Hongbin, 2019. "Research on the Loss Sharing Contract in Supply Chain Under Asymmetric Information," Journal of Systems Science and Information, De Gruyter, vol. 7(2), pages 187-198, April.
    20. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).

    More about this item

    Keywords

    retail; big data analytics;

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ahd:journl:v:3:y:2022:i:6:p:62-72. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Radu CIOBANU (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.