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. 2022 Sep 13;13:902693. doi: 10.3389/fpsyg.2022.902693
Dimension Items Factor loading
Tangible resources TR1. We have access to very large, unstructured, or fast-moving data for analysis 0.867
TR2. We integrate data from multiple sources into a data warehouse for easy access 0.831
TR3. We integrate external data with internal to facilitate analysis of business environment 0.754
TR4.Our ‘big data analytics’ projects are adequately funded 0.721
TR5.Our ‘big data analytics’ projects are given enough time to achieve their objectives 0.768
TR6. We have explored or adopted parallel computing approaches to big data processing 0.709
TR7. We have explored or adopted different data visualization tools 0.867
TR8. We have explored or adopted cloud-based services for processing data and performing analytics 0.793
Intangible resources IR1. We base our decisions on data rather than on instinct 0.799
IR2. We are willing to override our own intuition when data contradict our viewpoints 0.762
IR3. We continuously coach our employees to make decisions based on data 0.684
IR4. We are able to acquire new and relevant knowledge 0.822
IR5. We have made concerted efforts for the exploitation of existing competencies and exploration of new knowledge 0.827
IR6. We are able to assimilate relevant knowledge 0.751
IR7. We are able to apply relevant knowledge 0.836
Human skills and knowledge HSK1. Our BDA managers are able to understand the business need of other functional managers, suppliers, and customers to determine opportunities that big data might bring to our business. 0.856
HSK2. Our BDA managers are able to coordinate big data-related activities in ways that support other functional managers, suppliers, and customers 0.768
HSK3. Our BDA managers are able to understand and evaluate the output extracted from big data 0.830
HSK4. Our BDA managers are able to understand where to apple big data 0.817
HSK5. Our ‘big data analytics’ staff is well trained 0.815
HSK6. We provide big data analytics training to our own employees 0.749
HSK7. Our ‘big data analytics’ staff has suitable education to fulfil their jobs 0.781