The Impact of Big Data on Firm Performance in Food Industry

Marjan Faridi Saghselou, Mohsen Gharahkhani


Big data is one of the most recent developments in food industry technology. However, despite the jobs this technology offers, its acceptance is still at its early stages in many industries. Therefore, this study seeks to identify the factors that impact the acceptance of big data in the food industry. The impact of big data on the performance of food companies is investigated. We collected the data from 100 employees of Sharvand food industries in Tehran. The data was analyzed using Structural Equation Modelling (SEM). Findings show that compatibility, top management support, organizational resources, organization size, external pressure, and IT expertise positively affect big data acceptance. Security and privacy negatively affect the acceptance of big data. It was also found that the complexity and cost of acceptance did not affect the acceptance of big data. Acceptance of big data also has a positive effect on the company's performance.


Big Data, Structural Equation Modelling, Food Industry, Performance, Acceptance

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