Big Data Management and Contextualization

The systematic literature review (SLR) was conducted in phase 2 of the analysis.

The research aims to explore the relationship between ERP responsiveness and data management only.

The research is focused on explaining the factors influencing ERP responsiveness.

A quantitative survey was conducted to test the findings of the SLR.

The research aims to answer three research questions.

The research explains the relationship between big data management, data contextualization, and ERP responsiveness.

ERP systems used in the past demanded new levels of collaboration throughout the supply chains.

Proper management of data collected through ERP systems increases the complexity of data manipulation.

Lack of ERP responsiveness and mobility affects only the decision-making process.

Data is not important for informed decision-making in organizations.

Current ERP systems do not require the collection and analysis of data.

ERP systems are not used in the supply chain process.

The systematic literature review was conducted in five steps: identification, collection, analysis, process, and evaluation.

The authors considered only journal articles related to the research topic published on scientific databases.

Google Scholar was one of the scientific databases used to obtain the literature for the systematic literature review.

The search query used to identify suitable literature did not include the term 'big data technologies'.

All literature to be analyzed in the SLR were published within the timeframe of 2000-2010.

Defining the search boundaries is not necessary when conducting a systematic literature review.

ERP systems are primarily used for data analysis and big data management.

The analysis of large volumes of data generated through ERP systems is a straightforward process.

The research model developed in this study relies on only two areas: big data management and ERP responsiveness.

The goal of the research was to examine the factors influencing ERP responsiveness and data analysis.

Big data technologies are not necessary for companies to gain an overall understanding of the business process.

The conceptual model was developed based on the selected literature on ERP systems and artificial intelligence.

The study's conceptual model was developed through a survey of 110 industry experts

The study's objectives included identifying the factors influencing ERP responsiveness

The study used a quantitative survey to test the conceptual model

The study explored the relationship between big data management and ERP responsiveness

The study's survey collected data from 110 respondents

The study developed a finalized model from the initial conceptual model