Investigating the Use of Big Data in Fast Food: A Case of Mahikeng

Mpho Neo Chuma and Joshua Ebere Chukwuere
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Mpho Neo Chuma: Department of Information Systems, North-West University, South Africa.
Joshua Ebere Chukwuere: Department of Information Systems, North-West University, South Africa.

Economics and Applied Informatics, 2024, issue 2, 98-114

Abstract: In the era of the fourth industrial revolution (Industry 4.0), companies are beginning to recognize the importance of large amounts of data available to come up with suitable decisions and to aid their strategies through Big Data. This study sheds light on the importance of using Big Data in the fast-food industry and highlights the potential benefits and challenges associated with its use. The study used structured interviews to gather data from fast-food company managers in Mahikeng. Structured interviews allow for the collection of in-depth and detailed data, which provide a comprehensive understanding of the experiences and perspectives of the participants. The study also identified several challenges that need to be addressed, such as data privacy and security concerns, technical challenges, and organizational barriers. One of the key contributions of this study is its focus on the fast-food industry in Mahikeng, which has not received much attention in the literature on Big Data applications. Overall, the study highlights the need for fast-food companies to invest in data analytics capabilities and to develop strategies for leveraging Big Data to improve their operations, customer experience, and competitiveness in the market. By doing so, fast-food companies can gain a competitive advantage and achieve sustainable business success in the era of Industry 4.0.

Keywords: Big data, Big data analytics, Fast-food companies, Restaurants; Industry 4.0, Machine learning (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2024:i:2:p:98-114

DOI: 10.35219/eai15840409416

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