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The systematic literature review (SLR) was conducted in phase 2 of the analysis.
False
The research aims to explore the relationship between ERP responsiveness and data management only.
False
The research is focused on explaining the factors influencing ERP responsiveness.
False
A quantitative survey was conducted to test the findings of the SLR.
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The research aims to answer three research questions.
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The research explains the relationship between big data management, data contextualization, and ERP responsiveness.
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ERP systems used in the past demanded new levels of collaboration throughout the supply chains.
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Proper management of data collected through ERP systems increases the complexity of data manipulation.
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Lack of ERP responsiveness and mobility affects only the decision-making process.
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Data is not important for informed decision-making in organizations.
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Current ERP systems do not require the collection and analysis of data.
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ERP systems are not used in the supply chain process.
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The systematic literature review was conducted in five steps: identification, collection, analysis, process, and evaluation.
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The authors considered only journal articles related to the research topic published on scientific databases.
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Google Scholar was one of the scientific databases used to obtain the literature for the systematic literature review.
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The search query used to identify suitable literature did not include the term 'big data technologies'.
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All literature to be analyzed in the SLR were published within the timeframe of 2000-2010.
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Defining the search boundaries is not necessary when conducting a systematic literature review.
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ERP systems are primarily used for data analysis and big data management.
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The analysis of large volumes of data generated through ERP systems is a straightforward process.
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The research model developed in this study relies on only two areas: big data management and ERP responsiveness.
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The goal of the research was to examine the factors influencing ERP responsiveness and data analysis.
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Big data technologies are not necessary for companies to gain an overall understanding of the business process.
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The conceptual model was developed based on the selected literature on ERP systems and artificial intelligence.
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The study's conceptual model was developed through a survey of 110 industry experts
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The study's objectives included identifying the factors influencing ERP responsiveness
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The study used a quantitative survey to test the conceptual model
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The study explored the relationship between big data management and ERP responsiveness
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The study's survey collected data from 110 respondents
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The study developed a finalized model from the initial conceptual model
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